{ "cells": [ { "cell_type": "markdown", "id": "d5408a0e-5f14-480f-b169-9642fd210db0", "metadata": {}, "source": [ "# New Topic Tool AB Test Report: Logged-out User Analysis\n", "\n", "**Megan Neisler, Senior Data Scientist, Wikimedia Foundation**\n", "\n", "** 15 May 2022**\n", "\n", "[TASK](https://phabricator.wikimedia.org/T277825) | [CODEBASE](https://github.com/wikimedia-research/New-discussion-tool-analysis-2020)" ] }, { "cell_type": "markdown", "id": "ff11637c-4491-4683-a729-74c804d674bf", "metadata": {}, "source": [ "# Table of Contents\n", "\n", "1. [Introduction](#Introduction)\n", "2. [Methodology](#Methodology)\n", "3. [New Topic Tool Completion Rate](#New-Topic-Tool-Completion-Rate)\n", "4. [Guardrail Analyses](#Guardrail-Analyses)\n", "5. [Curiosities](#Curiosities)" ] }, { "cell_type": "markdown", "id": "981deece-23a8-48a3-ab98-a5ab34747ad0", "metadata": {}, "source": [ "# Introduction\n", "\n", "The Wikimedia Foundation's [Editing team](https://www.mediawiki.org/wiki/Editing_team#:~:text=The%20Editing%20team%20is%20the,tools%20like%20TemplateData%20and%20Citoid.) is working to improve how contributors communicate on Wikipedia using talk pages through a series of incremental improvements that will be released over time.\n", "\n", "As part of this effort, the Editing team introduced a new workflow for starting new topic threads on talk pages, across Wikipedia's 16 talk namespaces. This new workflow is intended to make it more intuitive for Junior Contributors to initiate conversations in ways other contributors can easily reply to and to help Senior Contributors do the same, with less effort. \n", "\n", "\n", "The new topic tool tool provides an an inline form for adding new topics. In addition, the language throughout the workflow was adjusted to be more topic-specific.\n", "\n", "The team ran an AB test of the New Topic Tool from 27 January 2022 through 25 March 2022 [^timeline] to assess the efficacy of this new feature. The test included all logged-in and logged-out users that edited a talk page at one the 20 participating Wikipedias during the duration of the AB test (see full list of [participating Wikipedias in task description](https://phabricator.wikimedia.org/T277825) and conditions outlined in the methodlology section below). During this test, 50% of users included in the test had the New Topic tool automatically enabled, and 50% did not. This report focues on the results for logged-out users. \n", "\n", "[^timeline]: Note that we excluded logged-out data collected from from 27 January 2022 to 17 February 2022 in this analysis due to errors in the bucketing implementation that did not accurately log all the events in the control group.\n", "\n", "You can find more information about features of this tool and project updates on the [project page](https://www.mediawiki.org/wiki/Talk_pages_project/New_discussion)." ] }, { "cell_type": "markdown", "id": "2d322598-bf9e-4d02-a0d7-0b43ad82cc79", "metadata": {}, "source": [ "# Methodology\n", "\n", "Similar to the analysis on logged-in users, the AB test on logged-out users was run on a per Wikipedia basis and contributors included in the test were randomly assigned to either the control (new topic tool disabled by default) or treatment (new topic tool enabled by default). There are a few notable differences between the methodlogy used for the logged-in user analysis, which are summarized below:\n", "\n", "* Logged-out users were not able to previously access to the New Topic Tool as a beta preference and were not able to turn the tool on or off the tool in Special:Preferences; however, it's possible the user previously had access to the tool if they previously viewed a talk page as a logged-in user. \n", "* We do not have data on the experience level of an anon user and, as a result, we are not able to account for the impact of experience level on these contributors.\n", "* All bucketed logged-out users were assigned an anonymous user token for the purpose of this analysis.The `anonymous_user_token` is a temporarily-assigned unique ID (cookie that expires within 90 days) that is logged in the EditAttemptStep schema.\n", "* Unlike the logged-in users who have a persistent bucket that's applied to their account, the logged out bucketing applies entirely to the current browser that is being used by the logged-out user.\n", "* WikiEditor's server-side logging doesn't have access to the bucket or anonymous user ID for logged-out users. As a result, we had to review the `event.action = 'ready'` event in EditAttemptStep to determine the user's assigned bucket. \n", "* Two of the participating Wikipedias, Portuguese and Persian Wikipedia, have stopped allowing IPs from editing. These wikis were still included but per wiki results for these wikis should be reviewed with this context.\n", "* Per the way our current infrastructure is set up, it is possible for the following to happen:\n", " * 1. A logged in user (\"Person 1\") is assigned a test bucket (e.g. test or control)\n", " * 2. \"Person 1\" logs out\n", " * 3. \"Person 1\" revisits the Wikipedia where the A/B test is being run\n", " * 4. \"Person 1\" becomes bucketed in the A/B test for a second time which means the A/B test \"thinks\" that in \"Step 3.\" someone new has entered the test when in reality it is the same person being bucketed twice\n", "\n", "\n", "Upon conclusion of the test on 25 March 2022, we recorded a total of 9,527 new topic attempts initiated across both test groups by 7,823 distinct logged-out contributors across all experience levels. Data was collected in [EditAttemptStep](https://gerrit.wikimedia.org/r/plugins/gitiles/schemas/event/secondary/+/refs/heads/master/jsonschema/analytics/legacy/editattemptstep/) and [talk_page_edit](https://schema.wikimedia.org/repositories//secondary/jsonschema/analytics/mediawiki/talk_page_edit/current.yaml) .\n", "\n", "In this test, a user can add a new topic using the New Topic Tool or using new topic workflows available with wikitext full-page and section editing. For the purpose of this analysis, these two types of editing experiences are defined as follows: \n", "\n", "**New Topic Tool:** Any edit to add a new topic (section) to a talk page namespace made with the new topic tool. The new topic tool allows edits using both wikitext and source mode. New Topic tool events were sampled at 100%. \n", "\n", "Recorded in EditAttemptStep as: `event.action = 'init'`, `event.integration = 'discussiontools'`, `event.init_type = 'section'`\n", "\n", "\n", "**Existing Add New Section Link:** Any edit to add a new topic (section) using the existing `section=new` link and workflow. These events were sampled at a rate of 1/16, or 6.25%. \n", "\n", "Recorded in the EditAttemptStep as: `event.action = 'init', event.integration = 'page' , event.init_type = 'section', event.init_mechanism IN ('url-new', 'new')` \n", "\n", "We excluded the following types of edits from this analysis: (1) edits made with the reply tool, (2) full-page edits to create a new page or to an existing page, (3) corrective edits to an existing section. Note: It's possible to create a new section using full page editing but these were excluded for the following reasons (1) we do not have instrumentation to decipher beween an attempt to make an edit to existing text on the page vs an edit to create a new section using full page editing; and (2) This method exists in both the test and control groups and we do not believe would be impacted by the appearance of the new topic tool. \n", "\n", "See the following Phabricator tickets for further details regarding instrumentation and implementation of the AB test:\n", "\n", "* Implement AB test bucketing [T291307](https://phabricator.wikimedia.org/T291307)\n", "* Start AB test [T291308](https://phabricator.wikimedia.org/T291308)" ] }, { "cell_type": "code", "execution_count": 1, "id": "d28aba98-b557-4b68-9a5c-582e7bc0a043", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
\n", " \n", "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "library(IRdisplay)\n", "\n", "display_html(\n", "'\n", "
\n", " \n", "
'\n", ")" ] }, { "cell_type": "code", "execution_count": 2, "id": "963fb779-e24f-42e6-ba50-556ab529efad", "metadata": {}, "outputs": [], "source": [ "shhh <- function(expr) suppressPackageStartupMessages(suppressWarnings(suppressMessages(expr)))\n", "shhh({\n", " library(tidyverse)\n", " # Modeling \n", " library(brms)\n", " library(lme4)\n", " library(tidybayes)\n", " set.seed(5)\n", " # Tables:\n", " library(gt)\n", " library(gtsummary)\n", "})" ] }, { "cell_type": "code", "execution_count": 3, "id": "9014d3c3-7d17-48b3-a08d-7f0ad0895e84", "metadata": {}, "outputs": [], "source": [ "options(repr.plot.width = 15, repr.plot.height = 10)" ] }, { "cell_type": "code", "execution_count": 6, "id": "c3c9d9cd-87a0-40ea-b3eb-afcfcf07966a", "metadata": {}, "outputs": [], "source": [ "#collect all new topic tool attempts and saves by logged-out users\n", "\n", "query <-\n", "\"\n", "--find all edit attempts\n", "WITH edit_attempts AS (\n", " SELECT\n", " wiki AS wiki,\n", " event.editing_session_id as edit_attempt_id,\n", " event.is_oversample AS is_oversample,\n", " event.integration AS editing_method,\n", " If(event.integration == 'discussiontools', 1, 0) AS new_topic_tool_used,\n", " CASE\n", " WHEN event.init_type = 'section' AND event.integration == 'discussiontools' THEN 'new_topic_tool'\n", " WHEN event.init_type = 'section' AND event.integration == 'page' AND event.init_mechanism IN ('url-new', 'new') THEN 'new_section_link'\n", " ELSE 'NA' -- check to make sure all edit types accounted for in above list\n", " END AS section_edit_type\n", " FROM event.editattemptstep\n", "WHERE\n", "-- only in participating wikis\n", " wiki IN ('amwiki', 'bnwiki', 'zhwiki', 'nlwiki', 'arzwiki', 'frwiki', 'hewiki', 'hiwiki',\n", " 'idwiki', 'itwiki', 'jawiki', 'kowiki', 'omwiki', 'fawiki', 'plwiki', 'ptwiki', 'eswiki', 'thwiki',\n", " 'ukwiki', 'viwiki')\n", "-- since deployment\n", " AND year = 2022\n", " AND ((month = 02 and day >= 18) OR\n", " (month = 03 and day <= 25))\n", " -- remove bots\n", " AND useragent.is_bot = false\n", "-- anon user\n", " AND event.user_id = 0\n", "-- look at only desktop events\n", " AND event.platform = 'desktop'\n", "-- review all talk namespaces\n", " AND event.page_ns % 2 = 1\n", " AND event.action = 'init'\n", "-- discard VE/Wikieditor edits to create new page or reply tool edits\n", " AND NOT (\n", " -- not a reply tool edit\n", " (event.init_type = 'page' AND event.integration = 'discussiontools') OR\n", " -- not an wikitext edit to create a new page\n", " (event.init_type = 'page' AND event.init_mechanism IN ('url-new', 'new') AND event.integration = 'page') OR\n", " -- not a corrective edit to an existing section\n", " (event.init_type = 'section' AND event.init_mechanism IN ('click', 'url') AND event.integration == 'page') OR\n", "-- not a full page edit\n", " (event.init_type = 'page' AND event.init_mechanism IN ('click', 'url') AND event.integration = 'page')\n", " )),\n", "\n", "--- bucketing applied at ready events\n", "ready_events AS (\n", " SELECT\n", " wiki AS wiki,\n", " event.anonymous_user_token as user_id, --anon token assigned at ready event\n", " event.bucket AS experiment_group,\n", " event.editing_session_id as edit_ready_id\n", " FROM event.editattemptstep\n", " WHERE\n", "-- only in participating wikis\n", " wiki IN ('amwiki', 'bnwiki', 'zhwiki', 'nlwiki', 'arzwiki', 'frwiki', 'hewiki', 'hiwiki',\n", " 'idwiki', 'itwiki', 'jawiki', 'kowiki', 'omwiki', 'fawiki', 'plwiki', 'ptwiki', 'eswiki', 'thwiki',\n", " 'ukwiki', 'viwiki')\n", " AND year = 2022\n", " AND ((month = 02 and day >= 18) OR\n", " (month = 03 and day <= 25))\n", " AND event.platform = 'desktop'\n", " -- only users in AB test\n", " AND event.bucket IN ('test', 'control')\n", " -- only talk page events\n", " AND event.page_ns % 2 = 1\n", " -- only anon users\n", " AND event.user_id = 0\n", "),\n", "\n", "-- find all published comments\n", "published_dt_new_topics AS (\n", " SELECT\n", " session_id AS edit_save_id,\n", " `database` AS wiki\n", " FROM event.mediawiki_talk_page_edit\n", " WHERE\n", " year = 2022\n", " AND ((month = 02 and day >= 18) OR\n", " (month = 03 and day <= 25))\n", " -- only in participating wikis\n", " AND `database` IN ('amwiki', 'bnwiki', 'zhwiki', 'nlwiki', 'arzwiki', 'frwiki', 'hewiki', 'hiwiki',\n", " 'idwiki', 'itwiki', 'jawiki', 'kowiki', 'omwiki', 'fawiki', 'plwiki', 'ptwiki', 'eswiki', 'thwiki',\n", " 'ukwiki', 'viwiki')\n", " AND performer.user_id = 0\n", "),\n", "\n", "published_section_link_new_topics AS (\n", "SELECT\n", " event.editing_session_id AS edit_save_id,\n", " wiki AS wiki\n", " FROM event.editattemptstep\n", " WHERE\n", " -- only in participating wikis\n", " wiki IN ('amwiki', 'bnwiki', 'zhwiki', 'nlwiki', 'arzwiki', 'frwiki', 'hewiki', 'hiwiki',\n", " 'idwiki', 'itwiki', 'jawiki', 'kowiki', 'omwiki', 'fawiki', 'plwiki', 'ptwiki', 'eswiki', 'thwiki',\n", " 'ukwiki', 'viwiki')\n", " AND year = 2022\n", " AND ((month = 02 and day >= 18) OR\n", " (month = 03 and day <= 25))\n", " AND event.user_id = 0 \n", " AND event.action = 'saveSuccess' \n", ")\n", "\n", "\n", "-- main query\n", "SELECT\n", " eas.wiki,\n", " res.user_id,\n", " edit_attempt_id,\n", " res.experiment_group,\n", " is_oversample,\n", " editing_method,\n", " new_topic_tool_used,\n", " section_edit_type,\n", "-- was saved in either talk page edit or editattemptstep\n", " -- was saved in either talk page edit or editattemptstep\n", " IF ((section_edit_type = 'new_topic_tool' AND (tpe_save.edit_save_id IS NOT NULL OR eas_save.edit_save_id IS NOT NULL))\n", " OR (section_edit_type = 'new_section_link' AND (tpe_save.edit_save_id IS NOT NULL OR eas_save.edit_save_id IS NOT NULL)), 1, 0) AS edit_success\n", "FROM edit_attempts eas\n", "INNER JOIN ready_events res ON\n", " eas.edit_attempt_id = res.edit_ready_id AND\n", " eas.wiki = res.wiki\n", "LEFT JOIN published_dt_new_topics tpe_save ON\n", " eas.edit_attempt_id = tpe_save.edit_save_id AND\n", " eas.wiki = tpe_save.wiki\n", "LEFT JOIN published_section_link_new_topics eas_save ON\n", " eas.edit_attempt_id = eas_save.edit_save_id AND\n", " eas.wiki = eas_save.wiki\n", "\"\n" ] }, { "cell_type": "code", "execution_count": 7, "id": "323a97a7-5736-459f-84fd-d321ad2d3726", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Don't forget to authenticate with Kerberos using kinit\n", "\n" ] } ], "source": [ "new_topic_attempts <- wmfdata::query_hive(query)" ] }, { "cell_type": "code", "execution_count": 8, "id": "28bd102a-cd9b-4b8f-9141-f76875d9342c", "metadata": {}, "outputs": [], "source": [ "# data reformatting and cleanup\n", "\n", "#set factor levels with correct baselines\n", "new_topic_attempts$section_edit_type <-\n", " factor(\n", " new_topic_attempts$section_edit_type,\n", " levels = c(\"NA\", \"new_section_link\", \"new_topic_tool\"),\n", " labels = c(\"NA\", \"Existing add new section link\", \"New topic tool\")\n", " )\n", "\n", "new_topic_attempts$edit_success <-\n", " factor(\n", " new_topic_attempts$edit_success,\n", " levels = c(0, 1),\n", " labels = c(\"Not Complete\", \"Complete\")\n", " )\n", "\n", "\n", "# reformat user-id and adjust to include wiki to account for duplicate user id instances.\n", "# Users do not have the smae user_id on different wikis\n", "new_topic_attempts$user_id <-\n", " as.character(paste(new_topic_attempts$user_id, new_topic_attempts$wiki, sep =\"-\"))\n", "\n", "#clarfiy wiki names\n", "new_topic_attempts <- new_topic_attempts %>%\n", " mutate(\n", " wiki = case_when(\n", " #clarfiy participating project names\n", " wiki == 'amwiki' ~ \"Amharic Wikipedia\",\n", " wiki == 'bnwiki' ~ \"Bengali Wikipedia\",\n", " wiki == 'zhwiki' ~ \"Chinese Wikipedia\",\n", " wiki == 'nlwiki' ~ 'Dutch Wikipedia',\n", " wiki == 'arzwiki' ~ 'Egyptian Wikipedia',\n", " wiki == 'frwiki' ~ 'French Wikipedia',\n", " wiki == 'hewiki' ~ 'Hebrew Wikipedia',\n", " wiki == 'hiwiki' ~ 'Hindi Wikipedia',\n", " wiki == 'idwiki' ~ 'Indonesian Wikipedia',\n", " wiki == 'itwiki' ~ 'Italian Wikipedia', \n", " wiki == 'jawiki' ~ 'Japanese Wikipedia', \n", " wiki == 'kowiki' ~ 'Korean Wikipedia',\n", " wiki == 'omwiki' ~ 'Oromo Wikipedia', \n", " wiki == 'fawiki' ~ 'Persian Wikipedia', \n", " wiki == 'plwiki' ~ 'Polish Wikipedia', \n", " wiki == 'ptwiki' ~ 'Portuguese Wikipedia',\n", " wiki == 'eswiki' ~ 'Spanish Wikipedia',\n", " wiki == 'thwiki' ~ 'Thai Wikipedia', \n", " wiki == 'ukwiki' ~ 'Ukrainian Wikipedia',\n", " wiki == 'viwiki' ~ 'Vietnamese Wikipedia', \n", " )\n", " ) " ] }, { "cell_type": "markdown", "id": "23e66c2c-0656-4ff1-8be5-bdfe13a65bac", "metadata": {}, "source": [ "## New topic attempts in each group" ] }, { "cell_type": "code", "execution_count": 9, "id": "45418d3b-2a31-4c27-8a8f-e6c7f47ccd4f", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\t\n", "\t\n", "\n", "\n", "\t\n", "\t\n", "\n", "
A tibble: 2 × 3
experiment_groupusersattempts
<chr><int><int>
control451461
test 749797
\n" ], "text/latex": [ "A tibble: 2 × 3\n", "\\begin{tabular}{lll}\n", " experiment\\_group & users & attempts\\\\\n", " & & \\\\\n", "\\hline\n", "\t control & 451 & 461\\\\\n", "\t test & 749 & 797\\\\\n", "\\end{tabular}\n" ], "text/markdown": [ "\n", "A tibble: 2 × 3\n", "\n", "| experiment_group <chr> | users <int> | attempts <int> |\n", "|---|---|---|\n", "| control | 451 | 461 |\n", "| test | 749 | 797 |\n", "\n" ], "text/plain": [ " experiment_group users attempts\n", "1 control 451 461 \n", "2 test 749 797 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "new_topic_attempts_bygroup <- new_topic_attempts %>%\n", " filter(is_oversample == 'false') %>% #All Discussion Tool events are oversampled - removing to check balance.\n", " group_by(experiment_group) %>%\n", " summarise(users = n_distinct(user_id),\n", " attempts = n_distinct(edit_attempt_id), .groups = 'drop')\n", "\n", "new_topic_attempts_bygroup" ] }, { "cell_type": "markdown", "id": "c7f9ce83-5f94-4266-987d-e67499544945", "metadata": {}, "source": [ "# New Topic Tool Completion Rate\n", "\n", "Our key performance indicator (KPI) for this analysis identified as new topic completion rate. For the purpose of this analysis, we are defining completion rate as the percent of logged out contributors that successfully published (`event.action = 'saveSuccess'` in EditAttemptStep)[^instrumentation] at least one new topic after clicking the Add topic /Section=new link interface (`event.action = 'init'`) during the time of the AB test. \n", "\n", "Note that this does not take into account the number of attempts it took for the user to publish or the duration of their editing sessions. For comparison purposes, we also reviewed completion rate defined as the percent of all new topic edit attempts by Junior Contributors that were successfully published. This was also the dataset we used to model the impact of the new topic tool as the model accounts for both user and wiki experience on the success of each edit attempt.\n", "\n", "[^instrumentation]: During this analysis, we identified a [bug](https://phabricator.wikimedia.org/T305541) where some instances of edits sessions completed using the new topic tool were not correctly recorded as being sucessfully saved in EditAttemptStep. As a result, we also used the talk_page_edit schema to more accurately account for all edits posted by the new topic tool by joining this data with init events identifed in EditAttemptStep. " ] }, { "cell_type": "markdown", "id": "ee58e0dc-63a2-4a56-b092-193935610fc8", "metadata": {}, "source": [ "## Overall new topic completion rate " ] }, { "cell_type": "markdown", "id": "cd0d1e2e-9407-4195-9cac-8dc14cc34ff9", "metadata": {}, "source": [ "### New topic completion rate defined as percent of edit attempts that are successfully published" ] }, { "cell_type": "code", "execution_count": 10, "id": "8707c2c4-ac3e-40a8-85ec-11dfa1f4d2d1", "metadata": {}, "outputs": [], "source": [ "# Completion Rate By Session\n", "\n", "new_topic_completes_bysession <- new_topic_attempts %>%\n", " group_by (wiki, section_edit_type) %>%\n", " summarise(n_attempts = n_distinct(edit_attempt_id),\n", " n_completions = n_distinct(edit_attempt_id[edit_success == 'Complete']),\n", " new_topic_tool_used = as.integer(ifelse(sum(section_edit_type== 'New topic tool'), 1, 0)),\n", " .groups = 'drop')" ] }, { "cell_type": "code", "execution_count": 11, "id": "4989aed4-1e6f-4d6f-9e87-3048c7e943f7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\t\n", "\t\n", "\n", "\n", "\t\n", "\t\n", "\n", "
A tibble: 2 × 4
section_edit_typen_attemptsn_attempts_completedcompletion_rate
<fct><int><int><chr>
Existing add new section link 700 598.4%
New topic tool 8827104411.8%
\n" ], "text/latex": [ "A tibble: 2 × 4\n", "\\begin{tabular}{llll}\n", " section\\_edit\\_type & n\\_attempts & n\\_attempts\\_completed & completion\\_rate\\\\\n", " & & & \\\\\n", "\\hline\n", "\t Existing add new section link & 700 & 59 & 8.4\\% \\\\\n", "\t New topic tool & 8827 & 1044 & 11.8\\%\\\\\n", "\\end{tabular}\n" ], "text/markdown": [ "\n", "A tibble: 2 × 4\n", "\n", "| section_edit_type <fct> | n_attempts <int> | n_attempts_completed <int> | completion_rate <chr> |\n", "|---|---|---|---|\n", "| Existing add new section link | 700 | 59 | 8.4% |\n", "| New topic tool | 8827 | 1044 | 11.8% |\n", "\n" ], "text/plain": [ " section_edit_type n_attempts n_attempts_completed completion_rate\n", "1 Existing add new section link 700 59 8.4% \n", "2 New topic tool 8827 1044 11.8% " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# By session\n", "\n", "new_topic_completes_bysession_all <- new_topic_completes_bysession %>%\n", " group_by(section_edit_type) %>%\n", " summarise(n_attempts = sum(n_attempts), \n", " n_attempts_completed = sum(n_completions), \n", " completion_rate = paste0(round(n_attempts_completed / n_attempts *100, 1), \"%\"),\n", " .groups = 'drop'\n", " ) \n", "new_topic_completes_bysession_all" ] }, { "cell_type": "markdown", "id": "5a2c1360-0dae-4201-941d-fd1b7b000862", "metadata": {}, "source": [ "### New topic completion rate defined as percent of Junior Contributors that successfully publish at least 1 new topic" ] }, { "cell_type": "code", "execution_count": 13, "id": "e5854853-fad8-4b52-ac7e-5a4eb96e1564", "metadata": {}, "outputs": [], "source": [ "# Contributors that completed at least 1 edit\n", "new_topic_completes <- new_topic_attempts %>%\n", " group_by (wiki, section_edit_type, user_id) %>%\n", " summarise(n_attempts = n_distinct(edit_attempt_id),\n", " n_completions = n_distinct(edit_attempt_id[edit_success == 'Complete']),\n", " edit_success = ifelse(sum(n_completions >= 1), 'Complete', 'Not Complete'), #redefine edit success as user completed at least 1 edit attempt\n", " new_topic_tool_used = as.integer(ifelse(sum(section_edit_type== 'New topic tool'), 1, 0)),\n", " .groups = 'drop') \n" ] }, { "cell_type": "code", "execution_count": 14, "id": "35677b2d-416c-44f5-8635-7baf829d8086", "metadata": {}, "outputs": [], "source": [ "# By Contributor\n", "# Review edit completion rate by editing method\n", "new_topic_completes_all <- new_topic_completes %>%\n", " group_by(section_edit_type) %>%\n", " summarise(n_users = n_distinct(user_id), \n", " n_users_completed = sum(n_completions >= 1), #user completed at least 1 edit\n", " completion_rate = paste0(round(n_users_completed / n_users *100, 1), \"%\"),\n", " .groups = 'drop'\n", " ) %>% #determine credible intervals\n", " cbind(as.data.frame(binom:::binom.bayes(x = .$n_users_completed, n = .$n_users, conf.level = 0.95, tol = 1e-10))) %>%\n", " mutate(lower = round(lower,2), \n", " upper = round(upper, 2)) " ] }, { "cell_type": "code", "execution_count": 17, "id": "0befe6e4-ebfe-4f3f-a3e1-56a936cbe00c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Logged-out Contributors new topic completion rate
across all participating Wikipedias
Editing methodNumber of users attemptedNumber of users completedNew topic completion rate1CI (Lower Bound)2CI (Upper Bound)2
Existing add new section link3678558.1%0.060.1
New topic tool471546869.6%0.090.1
\n", "

\n", " \n", " 1\n", " \n", " \n", " Defined as percent of contributors that attempted and published at least 1 new topic\n", "
\n", "

\n", "

\n", " \n", " 2\n", " \n", " \n", " 95% credible intervals. There is a 95% probability that the parameter lies in this interval\n", "
\n", "

\n", "

\n", " \n", " 3\n", " \n", " \n", " Sampling rate for Non-New Topic Tool events is 6.25%\n", "
\n", "

\n", "

\n", " \n", " 4\n", " \n", " \n", " Sampling rate for Topic Tool Tool events is 100%\n", "
\n", "

\n", "
\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Review edit completion rate by editor interface\n", "new_topic_completes_all_anon_table <- new_topic_completes_all %>%\n", " select(c(1,2,3,4,11,12)) %>% #remove unneeded rows\n", " gt() %>%\n", " tab_header(\n", " title = \"Logged-out Contributors new topic completion rate\",\n", " subtitle = \"across all participating Wikipedias\"\n", " ) %>%\n", " cols_label(\n", " section_edit_type = \"Editing method\",\n", " n_users = \"Number of users attempted\",\n", " n_users_completed = \"Number of users completed\",\n", " completion_rate = \"New topic completion rate\",\n", " lower = \"CI (Lower Bound)\",\n", " upper = \"CI (Upper Bound)\"\n", " ) %>%\n", " tab_footnote(\n", " footnote = \"Defined as percent of contributors that attempted and published at least 1 new topic\",\n", " locations = cells_column_labels(\n", " columns = 'completion_rate'\n", " )\n", " ) %>%\n", " tab_footnote(\n", " footnote = \"Sampling rate for Non-New Topic Tool events is 6.25%\",\n", " locations = cells_body(\n", " columns = 'section_edit_type', rows = 1)\n", " ) %>%\n", " tab_footnote(\n", " footnote = \"Sampling rate for Topic Tool Tool events is 100%\",\n", " locations = cells_body(\n", " columns = 'section_edit_type', rows = 2)) %>%\n", " tab_footnote(\n", " footnote = \"95% credible intervals. There is a 95% probability that the parameter lies in this interval\",\n", " locations = cells_column_labels(\n", " columns = c('lower', 'upper')\n", " )) %>%\n", " gtsave(\n", " \"new_topic_completes_all_anon_table.html\", inline_css = TRUE)\n", "\n", "IRdisplay::display_html(data = new_topic_completes_all_anon_table, file = \"new_topic_completes_all_anon_table.html\")" ] }, { "cell_type": "code", "execution_count": 19, "id": "f776edae-82be-4dd8-935e-55140cd699d0", "metadata": {}, "outputs": [ { "data": { "image/png": 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HXbbqdOnZqZmRm7XrFixdGjRz9BAwAAAJyy7DEKQPsa\nGhrabqlZV1fXtrLdwfr6+pS0lYimpqb4dXzVfFx2dnb8urGxseWjc889N7656t69ezdu3Jiy\nHgEAAOgaglEA2heNRsvKyloNFhUVRSKRVoO9evVq+/F9+/alqrMT1nJOaF5eXqtstHv37u1W\n5uTkTJ48OXbd3Ny8bNmyFLcJAABAFxCMAnBM69evbzXSvXv3888/v+VIUVHR6NGjW5V9/PHH\nSTx56RPbvXt3/DoSiQwdOjR+26tXr5Z5bsvKiRMn5ufnx67XrVt38ODB1HcKAABAZ7PHKADH\n9OGHH27cuLHV2fSTJk0666yz9uzZU19fX1xcfO6558b34ow5fPjwkiVLOrfT9m3btm3y5Ml5\neXmx20mTJh0+fHj37t1FRUWXXnppy8oPPvggdtGnT59Ro0bFrmtqalavXt2ZDQMAANBpBKMA\ndGTp0qWVlZXjx49vuSNnv379+vXr1279rl273njjjZqams5qsCONjY1Lly69/PLLY7e5ublX\nXnll27I1a9ZUVFSEECKRyLRp0+J7BSxbtqzV3qMAAAB8alhKD0BHotHo2rVrf/3rX2/durXj\nyqqqqj/84Q9/+MMfTpFUNGb79u2LFi3qIN9877333n333dj1mDFjSkpK4h/csWNHq+JIJJKT\nk5OiVgEAAOhMZowCcBxDhw6dMGFCz549Oy4rLCycOXPm+vXr165d2/I4+C63ZcuWPXv2jBkz\n5qyzzioqKsrIyIhGozU1Nbt27dqwYUN5eXmsLD8/f8KECbHrhoaGN998M/6GkpKS8847r3//\n/rHzmqLR6KFDh3bu3Ll+/fpTKgUGAADgxAlGATimSCRyySWXDB8+/ATrc3NzJ0yYMHTo0Bde\neKHlOe9d7vDhwytXrly5cmUIISsrq6mpKRqNtqq56KKL4rNB33333Vj/kUhk0qRJrc6bikQi\nxcXFxcXFY8aMWbp06aZNmzrlRwAAAJBMglEAjmnixIltU9G9e/euXr26rKyssbGxsLBwxIgR\n559/fnxfzhBCcXHxlVde+bvf/e6Umjca1+6y+kGDBp1zzjmx6/Ly8vXr18euJ0+ePHbs2GO9\nKjMzc/r06U1NTcfdZwAAAIBTjWAUgPZ179691UzJEMK+ffsWLlzY3Nwcuz106NCKFStqamqm\nTJnSsqy4uHj06NHvv/9+J/V6cjIzM+P9R6PRpUuXxuaTlpSUtExFDx48uHjx4kOHDvXv33/G\njBndunWLjU+ZMmXHjh0NDQ2d3zkAAACfmMOXAGjfOeec03IeaMyaNWviqWjcBx98cPTo0VaD\n5557bgqbS6rx48cXFhbGrv/0pz+VlZXFrseMGdOy7I9//GN5eXlTU9POnTvfeeed+Hhubu7Q\noUM7rVsAAACSQjAKQPt69erVdvDAgQNtB6PR6MGDB1sN9u7dOyVtJVtRUdFf/dVfxa6PHDkS\n24c0pn///vHrioqKlr99y5YtLV/SshIAAIDTgqX0ALQvKyuBfyPanmWUkZGRkZHRcnppJBKJ\nLz+Pa2xsbHfTz04zderUjIw//2/Ct956q76+Pv6ooKAgfl1dXd3yU/X19XV1dfGfEzutHgAA\ngNOIYBSA9rVdHR9CKC4urq2tbXe81UhDQ0OrRffdu3f/6le/2qps3bp1b7/99sl1+skNHz48\nPtlz165dLeeBRiKReGAaQmh7kFTLkZaVAAAAnBb8hxwA7Tt06FDbwfiq85aGDx+en5/farCy\nsjIlbSVPt27dJk+eHLtuampatmxZy6fRaLSuri5+m5eX1+rjubm58et2Q2QAAABOZWaMAtC+\njz766KKLLmo1OHDgwM9+9rOrVq2KbbiZl5c3fPjwCRMmtP349u3bT+bbx40bN2rUqP+9r6vL\n3b27bdn5558/cuTIliMHDhx45ZVXTuQrJk2aFA8333vvvbZJ7v79+wcOHBi7LikpycnJiS+0\n79evX8tZovv37z+RbwQAAODUIRgFoH3V1dWbN28eNmxYq/HBgwcPHjy4ubm5ubn5WPuQHj16\n9IMPPjiZb+/Wrdv/2bgzOzu09105OTk5OTktR9pd6d9W375944lqZWXle++917bmww8/jAej\nWVlZpaWlsaOZMjIyxo0b17Jy27ZtJ/KlAAAAnDoEowAc01tvvVVSUtJ2/9Dwl7OV2v1Uc3Pz\nkiVLTuXV5RkZGdOmTYvfLlu2rO0WoiGETZs2jR07Nv7zS0tL+/fvX1lZ2bdv38LCwpZlBw8e\nTHXPAAAAJJc9RgE4pqNHjz7//PM7duw48Y/U1NS89NJLJ7mOPtXGjh3bq1ev2PWWLVt27drV\nbllzc/PLL79cU1MTHznjjDOGDRvWMhXdu3dvq81JAQAAOC2YMQpAR44ePfrSSy8NHDhwxIgR\ngwcPPtba+RDC/v37t2zZ8qc//amxsbEzO0xU9+7dL7jggth1fX39W2+91UFxVVXV7373u0mT\nJg0bNqzVDNn6+vr3339/zZo1zc3NKWwXAACA1BCMAnB8H3/88ccff5yRkdGzZ8/i4uK8vLzs\n7OxIJNLY2FhfX19ZWXnw4MH4wUTHUl1d/dhjj53gN7799ttvv/12/DazsbF01arY9Z6amt2b\nNn2yHxJC6Nmz59q1a2PX+/btO3LkSMf1R48efeONN95+++0zzzyzR48e2dnZ9fX1FRUV+/bt\na3cBPgAAAKcFwSgAJ6q5ubmioqKioqKrGzkpu3btOtba+Q7U1dV99NFHqegHAACALmGPUQAA\nAAAg7QhGAQAAAIC0IxgFAAAAANKOYBQAAAAASDuCUQAAAAAg7QhGAQAAAIC0IxgFAAAAANKO\nYBQAAAAASDuCUQAAAAAg7QhGAQAAAIC0IxgFAAAAANKOYBQAAAAASDtZXd3A8b3//vt33333\nsZ6OHTt2zpw5Hb/hvvvue/fdd9uOX3311TfffHPLkY0bN/785z/funVrfn7+JZdccuONN2Zn\nZ7cs2LFjxx133DFr1qyvfe1rifwIAAAAAOAUchoEo/n5+cOHD287vn379vr6+hEjRpzgewYN\nGpSXl9dypG/fvi1vy8vLf/CDH/Tu3fvmm2/euXPnc88919DQcOutt7as+elPf9q7d+/rrrsu\nwR8BAAAAAJxCToNgdOjQof/5n//ZarC6uvrGG28MIcycOfME33PbbbeNHj26g4Lf//73R48e\nveuuuwYNGhT7ipdffvn6668vLi6OFSxevHj9+vX33HNPt27dEv4ZAAAAAMAp43TdY/SNN95o\nbGwcMWLEgAEDkvXObdu29erVK5aKhhBKS0ubm5t37NgRu62trX3iiScuvPDCiRMnJusbAQAA\nAIAucboGo4sWLQohzJgxI4nvrK+vb7mjaOy6rq4udjtv3rza2tpbbrklid8IAAAAAHSJ02Ap\nfVs7duzYsmVLTk7OxRdffOKfev7553/96183Nzf36dNn/PjxU6ZMyczMbFnQv3//zZs3V1dX\n9+jRI4Swbdu22GAIYevWrS+88MINN9zQaltSAAAAAOB0dFoGo6+99loIYdKkSQUFBSf+qTff\nfDN+vWjRovnz599zzz19+vSJD15xxRWLFi36yU9+cuONN+7atevFF18cO3bswIEDo9Hoo48+\n2q9fv1mzZiXxVwAAAAAAXeX0C0abm5vfeOONkMg6+tGjR1900UUifdu6AAAgAElEQVSjR48u\nKSk5dOjQunXr5s2bt23bth/96Edz587NyPjzfgIjRoz4xje+MW/evFiEOmTIkNtvvz2E8PLL\nL2/atOm+++6LL7Svq6tr9/ylOXPmvP7667Hr4cOHn9wPBQAAAABS5fQLRlevXl1RUdGrV69x\n48ad4Eeuvfba+PUZZ5xx2WWXlZaW3n777du2bVu+fPnUqVPjT6+55prLL798x44dBQUFAwcO\njEQiVVVV8+bNmzp1amlpaTQafeaZZxYsWFBVVVVYWHjNNde0fHMIIS8vL7YMP4Swb9++rKzT\n768XAAAAANLB6ZfcxaZkTp8+PT7T8xMoKSmZOXPmggUL3n///ZbBaAghPz9/5MiR8dsnn3yy\noaHhm9/8ZgjhlVdemTdv3owZMy666KKlS5f+4he/KCwsvPzyy+PFs2fPnj17duw6Nzd39OjR\nn7hDAAAAACB1TrNgtKamZuXKlSGEmTNnnuSr+vXrF0I4dOhQBzUbN258/fXXb7rppt69e4cQ\n5s+fP2jQoDvuuCMSiVx44YWbNm2aP39+y2AUAAAAADgtfPJJl11iyZIlDQ0Nw4YNGzRo0Em+\nqrKyMoSQl5d3rILm5uZHH330rLPOuvrqq0MI9fX1+/btGzlyZCQSCSFEIpFRo0bt3bu3vr7+\nJDsBAAAAADrZaRaMxtbRn/x00YaGhiVLloQOj0hauHDhtm3b/v7v/z4zMzOEEMtDm5ub4wWx\n65NZ0Q8AAAAAdInTaSn9zp07N2/enJ2dPW3atGPVPPPMM9u2bZs6depnPvOZ2Mi6deu2bt06\nY8aMnj17xkb27Nnzk5/8ZNeuXT169Jg+fXq776moqPjVr341Y8aMMWPGxEays7P79++/YcOG\naDQaiUSam5s/+OCDAQMGOGEJAAAAAE47p1OoF5suOnHixPjJ722tX79+9erVZ511VjwYPXjw\n4BNPPPHkk0/27du3sLDw4MGD5eXl0Wi0oKDgrrvuys/Pb/c9jz/+eCQSuemmm1oOXnfddXPn\nzp0zZ87kyZOXL19eVlb2ne98J3m/DwAAAADoJKdNMNrc3PzHP/4xJL6OfuTIkbNmzdqwYcO+\nffv279+fnZ09ePDg8ePHX3311bEjldpat27d0qVLb7311vgk05hLL720trZ2wYIFq1at6tO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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 600, "width": 900 } }, "output_type": "display_data" } ], "source": [ "\n", "dodge <- position_dodge(width=0.9)\n", "\n", "p <- new_topic_completes_all %>%\n", " ggplot(aes(x= section_edit_type, y = n_users_completed / n_users, fill = section_edit_type)) +\n", " geom_col(position = 'dodge') +\n", " geom_text(aes(label = paste(completion_rate), fontface=2), vjust=1.2, size = 8, color = \"white\") +\n", " geom_errorbar(aes(ymin = lower, ymax = upper), color = 'red', size = 1, alpha = 0.5, position = dodge, width = 0.25) +\n", " scale_y_continuous(labels = scales::percent) +\n", " scale_x_discrete(labels = c(\"Existing add new section link\", \"New topic tool\")) +\n", " labs (y = \"Percent of contributors \",\n", " x = \"Editing method\",\n", " title = \"Logged-out contributors new topic completion rate \\n across all participating Wikipedias\",\n", " caption = \"Defined as percent of contributors that make a new topic attempt and publish at least 1 new topic \\n\n", " Red error bars: 95% credible intervals\") +\n", " scale_fill_manual(values= c(\"#999999\", \"steelblue2\")) +\n", " theme(\n", " panel.grid.minor = element_blank(),\n", " panel.background = element_blank(),\n", " plot.title = element_text(hjust = 0.5),\n", " text = element_text(size=16),\n", " legend.position= \"none\",\n", " axis.line = element_line(colour = \"black\")) \n", " \n", "\n", "p\n", "ggsave(\"Figures/new_topic_completes_all_anon.png\", p, width = 16, height = 8, units = \"in\", dpi = 300)" ] }, { "cell_type": "markdown", "id": "2af6aacf-a223-4f34-a795-0324813338d1", "metadata": {}, "source": [ "Overall, 9.6% of all Junior Contributors that made a new topic attempt were able to successfully publish at least 1 new topic with the new topic tool, while 8.1% of all Junior Contributors successfully published a new topic using the existing add new section link workflow. This represents a 1.5 percentage point; 18.5% observed increase in new topic completion rate. \n", "\n", "A couple notes:\n", "* The red error bars indicate the level of uncertainty in the identifed completion rates. There is more uncertainty in the identified completion rates for the existing add new section link. This is due to the smaller sample number of events recorded for the existing add new section link editing method (These events are sampled at 6.25%). \n", "* This does not take into account the number of attempts it took for the user to publish or the duration of their editing sessions. If we look just at the percent of editing sessions succesfully completed, there was a 3.4 percentage point (8.4 → 11.8%); 40.5% observed increase in new topic completion rate for editing sessions completed using the new topic tool. " ] }, { "cell_type": "markdown", "id": "7cf557d6-65f4-4da4-b54b-64350de5c7d4", "metadata": {}, "source": [ "## New topic completion rate by participating Wikipedia " ] }, { "cell_type": "code", "execution_count": 20, "id": "c431221d-95d8-4cc3-b97b-9540594e42c4", "metadata": {}, "outputs": [], "source": [ "# Review edit completions by editing method and wiki\n", "new_topic_completes_bywiki <- new_topic_completes %>%\n", " group_by(wiki, section_edit_type) %>%\n", " summarise(n_users = n_distinct(user_id), \n", " n_users_completed = sum(n_completions >=1), #user completed at least 1 edit\n", " completion_rate = paste0(round(n_users_completed / n_users *100, 1), \"%\"),\n", " .groups = 'drop'\n", " ) %>% #determine credible intervals\n", " cbind(as.data.frame(binom:::binom.bayes(x = .$n_users_completed, n = .$n_users, conf.level = 0.95, tol = 1e-10))) %>%\n", " mutate(lower = round(lower,2), \n", " upper = round(upper, 2)) " ] }, { "cell_type": "code", "execution_count": 22, "id": "ab92ea6f-77af-4d16-9364-8e98d48c38e7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Logged-out contributors new topic completion rate by participating Wikipedia
WikipediaEditing method1,2Number of users attemptedNumber of users completedCompletion rate3CI (Lower Bound)4CI (Upper Bound)4
Amharic WikipediaNew topic tool600%0.000.26
Bengali WikipediaExisting add new section link4250%0.120.88
Bengali WikipediaNew topic tool42781.9%0.010.03
Chinese WikipediaExisting add new section link29082.8%0.010.05
Chinese WikipediaNew topic tool235156.4%0.040.10
Dutch WikipediaExisting add new section link15213.3%0.010.33
Dutch WikipediaNew topic tool2623212.2%0.080.16
Egyptian WikipediaNew topic tool2114.8%0.000.17
French WikipediaExisting add new section link6158.2%0.030.16
French WikipediaNew topic tool1517895.9%0.050.07
Hebrew WikipediaExisting add new section link9444.4%0.170.74
Hebrew WikipediaNew topic tool2204620.9%0.160.26
Hindi WikipediaExisting add new section link4125%0.000.65
Hindi WikipediaNew topic tool43571.6%0.010.03
Indonesian WikipediaExisting add new section link1300%0.000.13
Indonesian WikipediaNew topic tool17052.9%0.010.06
Italian WikipediaExisting add new section link37616.2%0.060.29
Italian WikipediaNew topic tool64012419.4%0.160.23
Japanese WikipediaExisting add new section link38410.5%0.030.22
Japanese WikipediaNew topic tool614508.1%0.060.10
Korean WikipediaExisting add new section link400%0.000.36
Korean WikipediaNew topic tool921112%0.060.19
Oromo WikipediaNew topic tool400%0.000.36
Persian WikipediaExisting add new section link1616.2%0.000.22
Persian WikipediaNew topic tool353195.4%0.030.08
Polish WikipediaExisting add new section link19315.8%0.030.34
Polish WikipediaNew topic tool2686925.7%0.210.31
Portuguese WikipediaExisting add new section link10110%0.000.33
Portuguese WikipediaNew topic tool355277.6%0.050.11
Spanish WikipediaExisting add new section link891213.5%0.070.21
Spanish WikipediaNew topic tool100612812.7%0.110.15
Thai WikipediaExisting add new section link2500%0.000.07
Thai WikipediaNew topic tool12532.4%0.000.06
Ukrainian WikipediaExisting add new section link7228.6%0.040.61
Ukrainian WikipediaNew topic tool1152521.7%0.150.30
Vietnamese WikipediaExisting add new section link37410.8%0.030.22
Vietnamese WikipediaNew topic tool289279.3%0.060.13
\n", "

\n", " \n", " 1\n", " \n", " \n", " Sampling rate for Non-New Topic Tool events is 6.25%\n", "
\n", "

\n", "

\n", " \n", " 2\n", " \n", " \n", " Sampling rate for New Topic Tool events is 100%\n", "
\n", "

\n", "

\n", " \n", " 3\n", " \n", " \n", " Defined as percent of contributors that make a new topic attempt and publish at least 1 new topic\n", "
\n", "

\n", "

\n", " \n", " 4\n", " \n", " \n", " 95% credible intervals. There is a 95% probability that the parameter lies in this interval\n", "
\n", "

\n", "
\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "NULL" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "new_topic_completes_bywiki_anon_table <- new_topic_completes_bywiki %>%\n", " select(c(1,2,3,4,5,12,13)) %>% #remove unneeded rows\n", " gt() %>%\n", " tab_header(\n", " title = \"Logged-out contributors new topic completion rate by participating Wikipedia\"\n", " ) %>%\n", " cols_label(\n", " wiki = \"Wikipedia\",\n", " section_edit_type= \"Editing method\",\n", " n_users = \"Number of users attempted\",\n", " n_users_completed = \"Number of users completed\",\n", " completion_rate = \"Completion rate\",\n", " lower = \"CI (Lower Bound)\",\n", " upper = \"CI (Upper Bound)\"\n", " ) %>%\n", " tab_footnote(\n", " footnote = \"Defined as percent of contributors that make a new topic attempt and publish at least 1 new topic\",\n", " locations = cells_column_labels(\n", " columns = 'completion_rate'\n", " )\n", " ) %>%\n", " tab_footnote(\n", " footnote = \"Sampling rate for Non-New Topic Tool events is 6.25%\",\n", " locations = cells_column_labels(\n", " columns = 'section_edit_type'\n", " ) \n", " ) %>%\n", " tab_footnote(\n", " footnote = \"Sampling rate for New Topic Tool events is 100%\",\n", " locations = cells_column_labels(\n", " columns = 'section_edit_type'\n", " )) %>%\n", " tab_footnote(\n", " footnote = \"95% credible intervals. There is a 95% probability that the parameter lies in this interval\",\n", " locations = cells_column_labels(\n", " columns = c('lower', 'upper')\n", " )) %>%\n", " gtsave(\n", " \"new_topic_completes_bywiki_anon_table.html\", inline_css = TRUE)\n", "\n", "IRdisplay::display_html(data = new_topic_completes_bywiki_anon_table, file = \"new_topic_completes_bywiki_anon_table.html\")\n", "\n", "new_topic_completes_bywiki_anon_table" ] }, { "cell_type": "code", "execution_count": 23, "id": "f7766dba-1e94-4d6b-be4f-88992cf6dae4", "metadata": {}, "outputs": [ { "data": { "image/png": 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o9n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\n0VumTZtmMpmampoOHDigKEpOTo5Op1NVdcuWL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Xn2zCtP3paO1Ovq57pO+cgdbNUYo/RS61OKo6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\nqtT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5crC5Ju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\nc3Nzbm6uiGRmZup0urq6OmWtUtxgtw0yJ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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 600, "width": 900 } }, "output_type": "display_data" } ], "source": [ "# Plot edit completion rates for each user on each wiki \n", "\n", "p <- new_topic_completes_bywiki %>%\n", " filter(!(wiki %in% c('Amharic Wikipedia', 'Bengali Wikipedia', 'Hindi Wikipedia', 'Oromo Wikipedia',\n", " 'Korean Wikipedia', 'Ukranian Wikipedia'))) %>% # remove wikis where there are under 10 events total for editing method\n", " ggplot(aes(x= section_edit_type, y = n_users_completed / n_users, fill = section_edit_type)) +\n", " geom_col(position = 'dodge') +\n", " geom_text(aes(label = paste(completion_rate), fontface=2), vjust=1.2, size = 5, color = \"white\") +\n", " geom_errorbar(aes(ymin = lower, ymax = upper), color = 'red', size = 1, alpha = 0.5, position = dodge, width = 0.25) +\n", " facet_wrap(~ wiki) +\n", " scale_y_continuous(labels = scales::percent) +\n", " labs (y = \"Percent of contributors \",\n", " title = \"Logged-out contributors new topic completion rate by participating Wikipedia\",\n", " caption = \"Amharic, Bengali, Hindi, Oromo, Korean, and Ukranian removed from analysis due to insufficient events \\n\n", " Red error bars: 95% credible intervals\") +\n", " scale_fill_manual(values= c(\"#999999\", \"steelblue2\"), name = \"Editing Method\", labels = c(\"Existing add new section link\", \"New topic tool\")) +\n", " theme(\n", " panel.grid.minor = element_blank(),\n", " panel.background = element_blank(),\n", " plot.title = element_text(hjust = 0.5),\n", " text = element_text(size=16),\n", " legend.position=\"bottom\",\n", " axis.text.x = element_blank(),\n", " axis.title.x=element_blank(),\n", " axis.line = element_line(colour = \"black\")) \n", "\n", " \n", "p\n", "ggsave(\"Figures/new_topic_completes_bywiki_anon.png\", p, width = 16, height = 8, units = \"in\", dpi = 300)" ] }, { "cell_type": "markdown", "id": "ff732761-f695-47dd-8f65-3edf8303f18b", "metadata": {}, "source": [ "Trends vary on a per wikipedia basis. \n", "\n", "There were no significiant decreases in new topic tool completion rate for any particular wiki with the exception of Hebrew Wikipedia, which saw a 20 percentage point decrease (44.4% → 20.9%; 50% decrease) in new topic completion rate for logged-out contributors using the new topic tool. \n", "\n", "A couple notes:\n", "* There is a large degree of uncertaintly around many of these per wiki completion rate values due to the smaller sample sizes available for review on a per Wikipedia basis, especially for the existing add new section link events which were sampled at only 6.25%. These smaller sample sizes resulted in greater credible intervals indicating more uncertainty in the identified percentages (as represented by larger red error bars on the chart above). \n", "* A decrease in new topic tool completion rate was also observed for logged-in Junior Contributors at Hebrew Wikipedia. Additional follow-up on the use of this tool at this Wiki may provide some additional insights.\n", "\n" ] }, { "cell_type": "markdown", "id": "3621c5d0-82fa-4517-9038-72e4b0b507f8", "metadata": {}, "source": [ "## Modeling the impact of the new topic tool" ] }, { "cell_type": "markdown", "id": "7b4d7735-beda-4e1e-a410-1205041d4d75", "metadata": {}, "source": [ "We next explored different models to correctly infer the impact of the new topic tool on whether a new topic was completed or not and account for the random effects by the user and wiki. This allows us to confirm if the observed increase above is statistically significant (did not occur due to random chance).\n", "\n", "New topic attempts completed on the same Wikipedia and by the users on that Wikipedia are related to each other. Therefore, we can more accurately infer the impact of the new topic tool by accounting for the effect of the user and wiki on the success probability of a Junior Contributor completing an edit.\n", "\n", "We used a [Bayesian Hierarchical regression model](https://en.wikipedia.org/wiki/Bayesian_hierarchical_modeling) to model this structure. For this model, we reviewed whether each edit attempt was sucesfully completed or not. We identified the user and Wikipedia as random effects and whether the new topic tool was used as the fixed effect or predictor variable." ] }, { "cell_type": "code", "execution_count": 35, "id": "a6bfb26a-f7fe-4642-ac19-7c7ad0f7a400", "metadata": {}, "outputs": [], "source": [ "#redefine edit success as factor for use in the model\n", "new_topic_completes$edit_success <-\n", " factor(\n", " new_topic_completes$edit_success,\n", " levels = c(\"Not Complete\", \"Complete\")\n", " )" ] }, { "cell_type": "code", "execution_count": 36, "id": "5438f27c-721e-42e2-b799-2412234e8e85", "metadata": {}, "outputs": [], "source": [ "priors <- c(\n", " set_prior(prior = \"std_normal()\", class = \"b\"),\n", " set_prior(\"cauchy(0, 5)\", class = \"sd\")\n", ")\n" ] }, { "cell_type": "code", "execution_count": null, "id": "917b6a77-f5b4-46b4-8c5c-48ecee8ae037", "metadata": { "tags": [] }, "outputs": [], "source": [ "fit_anon <- brm(\n", " edit_success ~ section_edit_type + (1 | wiki/user_id),\n", " family = bernoulli(link = \"logit\"),\n", " data = new_topic_completes,\n", " prior = priors,\n", " chains = 6, cores = 4\n", ")" ] }, { "cell_type": "code", "execution_count": 39, "id": "b1a20d95-8fd0-4f3b-af8b-60477e87a08c", "metadata": {}, "outputs": [], "source": [ "fit_anon_tbl <- fit_anon %>%\n", " spread_draws(b_section_edit_typeNewtopictool, b_Intercept) %>%\n", " mutate(\n", " exp_b = exp(b_section_edit_typeNewtopictool),\n", " b4 = b_section_edit_typeNewtopictool/ 4,\n", " avg_lift = plogis(b_Intercept + b_section_edit_typeNewtopictool) - plogis(b_Intercept)\n", " ) %>%\n", " pivot_longer(\n", " b_section_edit_typeNewtopictool:avg_lift,\n", " names_to = \"param\",\n", " values_to = \"val\"\n", " ) %>%\n", " group_by(param) %>%\n", " summarize(\n", " ps = c(0.025, 0.5, 0.975),\n", " qs = quantile(val, probs = ps),\n", " .groups = \"drop\"\n", " ) %>%\n", " mutate(\n", " quantity = ifelse(\n", " param %in% c(\"b_Intercept\", \"b_section_edit_typeNewtopictool\"),\n", " \"Parameter\", \"Function of parameter(s)\"\n", " ),\n", " param = factor(\n", " param,\n", " c(\"b_Intercept\", \"b_section_edit_typeNewtopictool\", \"exp_b\", \"b4\", \"avg_lift\"),\n", " c(\"(Intercept)\", \"Using new topic tool\", \"Multiplicative effect on odds\", \"Maximum Lift\", \"Average lift\")\n", " ),\n", " ps = factor(ps, c(0.025, 0.5, 0.975), c(\"lower\", \"median\", \"upper\")),\n", " ) %>%\n", " pivot_wider(names_from = \"ps\", values_from = \"qs\") %>%\n", " arrange(quantity, param)\n" ] }, { "cell_type": "code", "execution_count": 41, "id": "1fdaeaae-768d-4e47-b6af-85452687d8d0", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Logged-Out Contributor Completion Rate: Posterior summary of model parameters
Point Estimate95% CI1
Parameter
(Intercept)−2.804(−4.247, −2.098)
Using new topic tool0.001(−0.339, 0.345)
Function of parameter(s)
Multiplicative effect on odds1.001(0.713, 1.412)
Maximum Lift0.0%2(−8.5%, 8.6%)
Average lift0.0%3(−2.2%, 1.8%)
\n", "

\n", " \n", " 1\n", " \n", " \n", " CI: Credible Interval\n", "
\n", "

\n", "

\n", " \n", " 2\n", " \n", " \n", " Maximum lift calculated using the divide-by-4-rule\n", "
\n", "

\n", "

\n", " \n", " 3\n", " \n", " \n", " Average lift = Pr(Success|New Topic Tool) - Pr(Success|Existing New Section Link Editing) = logit-10 + β1) - logit-10)\n", "
\n", "

\n", "
\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fit_anon_tbl%>%\n", " gt(rowname_col = \"param\", groupname_col = \"quantity\") %>%\n", " row_group_order(c(\"Parameter\", \"Function of parameter(s)\")) %>%\n", " fmt_number(vars(lower, median, upper), decimals = 3) %>%\n", " fmt_percent(columns = vars(median, lower, upper), rows = 2:3, decimals = 1) %>%\n", " cols_align(\"center\", vars(median, lower, upper)) %>%\n", " cols_merge(vars(lower, upper), pattern = \"({1}, {2})\") %>%\n", " cols_move_to_end(vars(lower)) %>%\n", " cols_label(median = \"Point Estimate\", lower = \"95% CI\") %>%\n", " tab_style(cell_text(weight = \"bold\"), cells_row_groups()) %>%\n", " tab_footnote(\"CI: Credible Interval\", cells_column_labels(vars(lower))) %>%\n", " tab_footnote(\n", " html(\"Average lift = Pr(Success|New Topic Tool) - Pr(Success|Existing New Section Link Editing) = logit-10 + β1) - logit-10)\"),\n", " cells_body(vars(median), 3)\n", " ) %>%\n", " tab_footnote(\n", " html(\"Maximum lift calculated using the divide-by-4-rule\"),\n", " cells_body(vars(median), 2)\n", " ) %>%\n", " tab_header(\"Logged-Out Contributor Completion Rate: Posterior summary of model parameters\") %>%\n", " gtsave(\n", " \"fit_anon_tbl.html\", inline_css = TRUE)\n", "\n", "\n", "IRdisplay::display_html(file = \"fit_anon_tbl.html\")" ] }, { "cell_type": "markdown", "id": "cd873dc0-f351-4989-b722-0c5ae5e9942f", "metadata": {}, "source": [ "Since the model parameters are on the log-odds scale, we needed to apply the following transformations to make sense of them. \n", "* We used the \"divide-by-4\" rule suggested by Gelman, Hill, and Vehtari 2021 [^Gelman] to approximate the maximum increase in the probability of success corresponding to which editing interface (reply tool or page editing) was used. Using the bayesian model, we can also directly calculate the average lift.\n", "* Since the model parameters are on the log-odds scale, we need to take the exponentiation of the effect (exp(β~1~)) to determine the multiplicative effect on the odds of a Junior Contributor successfully publishing at least 1 comment.\n", "\n", "[^Gelman]: Gelman, Andrew, Jennifer Hill, and Aki Vehtari. 2021. Regression and other stories. https://doi.org/10.1017/9781139161879.\n", "\n", "While we observed an increase in the new topic completion rate for logged-out contributors, there is not sufficient evidence to definitively say that the new topic tool led to this increase - as indicated by a credible interval that crosses 1, since a multiplicative effect of 1 is no change either way.\n" ] }, { "cell_type": "markdown", "id": "61bfb325-c94e-4373-8904-0f0bcb737b54", "metadata": {}, "source": [ "# Guardrail Analyses" ] }, { "cell_type": "markdown", "id": "ed437efd-ed4d-498f-8f06-68bfd7551cd4", "metadata": {}, "source": [ "## New Topic Revert Rate " ] }, { "cell_type": "markdown", "id": "d5b19a1f-ef42-496e-9985-dfb367e8dc02", "metadata": {}, "source": [ "We also wanted to ensure that enabling the new topic tool did not result in an increase in the number of disruptive edits being made to talk pages. \n", "\n", "To evaluate any disruption caused by the new topic tool, we determined the percent of new topics published to talk pages that were reverted within 48 hours. " ] }, { "cell_type": "markdown", "id": "55595fc7-154f-43a3-99ec-82e7afdb88fb", "metadata": {}, "source": [ "### Methodology\n", "\n", "For this analysis, we reviewed data recorded in [mediawiki_history](https://wikitech.wikimedia.org/wiki/Analytics/Data_Lake/Edits/MediaWiki_history) to identify the percent comments posted with the new topic tool (identified by the revision tag: `discussiontools-newtopic`) on talk pages that are reverted within 48 hours [^revert]. We joined this data with AB test data logged in editAttemptStep and talk_page_edit to isolate data to the attempts included in the AB test and try to exclude any edits not made to create a new topic. \n", "\n", "[^revert]: 48 hours is a common cutoff, as research suggests that, at least for the English Wikipedia, nearly all reverts take place within 48 hours. Source: Research: Revert. Mediawiki. https://meta.wikimedia.org/wiki/Research:Revert.\n", "\n", "We compared the revert rate for new topics published using the new topic tool to the revert rate for new topics made using the existing section link editing during the same timeframe. \n" ] }, { "cell_type": "code", "execution_count": 24, "id": "08d5aa4a-054f-466d-a9e5-9b1bea55cfe1", "metadata": {}, "outputs": [], "source": [ "new_topic_reverts_anon <-\n", " read.csv(\n", " file = 'Data/new_topic_reverts_anon.csv',\n", " header = TRUE,\n", " sep = \",\",\n", " stringsAsFactors = FALSE\n", " ) # loads all revert data" ] }, { "cell_type": "code", "execution_count": 25, "id": "928ddcc5-4533-483c-a114-658e83aa1899", "metadata": {}, "outputs": [], "source": [ "#clarfiy levels and labels for factor variables\n", "new_topic_reverts_anon$section_edit_type <-\n", " factor(\n", " new_topic_reverts_anon$section_edit_type,\n", " levels = c(\"non-new-topic-tool\", \"new-topic-tool\"),\n", " labels = c(\"Existing add new section link\", \"New topic tool\")\n", " )\n", "\n", "new_topic_reverts_anon$is_reverted <-\n", " factor(new_topic_reverts_anon$is_reverted,\n", " levels = c(\"reverted\", \"not-reverted\"),\n", " labels = c(\"Reverted\", \"Not reverted\"))\n", "\n", "\n", "#clarfiy wiki names\n", "new_topic_reverts_anon <- new_topic_reverts_anon %>%\n", " mutate(\n", " wiki = case_when(\n", " #clarfiy participating project names\n", " wiki == 'amwiki' ~ \"Amharic Wikipedia\",\n", " wiki == 'bnwiki' ~ \"Bengali Wikipedia\",\n", " wiki == 'zhwiki' ~ \"Chinese Wikipedia\",\n", " wiki == 'nlwiki' ~ 'Dutch Wikipedia',\n", " wiki == 'arzwiki' ~ 'Egyptian Wikipedia',\n", " wiki == 'frwiki' ~ 'French Wikipedia',\n", " wiki == 'hewiki' ~ 'Hebrew Wikipedia',\n", " wiki == 'hiwiki' ~ 'Hindi Wikipedia',\n", " wiki == 'idwiki' ~ 'Indonesian Wikipedia',\n", " wiki == 'itwiki' ~ 'Italian Wikipedia', \n", " wiki == 'jawiki' ~ 'Japanese Wikipedia', \n", " wiki == 'kowiki' ~ 'Korean Wikipedia',\n", " wiki == 'omwiki' ~ 'Oromo Wikipedia', \n", " wiki == 'fawiki' ~ 'Persian Wikipedia', \n", " wiki == 'plwiki' ~ 'Polish Wikipedia', \n", " wiki == 'ptwiki' ~ 'Portuguese Wikipedia',\n", " wiki == 'eswiki' ~ 'Spanish Wikipedia',\n", " wiki == 'thwiki' ~ 'Thai Wikipedia', \n", " wiki == 'ukwiki' ~ 'Ukrainian Wikipedia',\n", " wiki == 'viwiki' ~ 'Vietnamese Wikipedia', \n", " )\n", " ) " ] }, { "cell_type": "markdown", "id": "1f255815-9ee3-4b6f-9676-ba6f36e77225", "metadata": {}, "source": [ "### Overall revert rate across all participating Wikipedias" ] }, { "cell_type": "code", "execution_count": 26, "id": "fe11df0f-b876-4c7c-8950-d92f9759d93f", "metadata": {}, "outputs": [], "source": [ "# aggregrate based on editing experience type\n", "new_topic_reverts_all <- new_topic_reverts_anon %>%\n", " group_by(section_edit_type) %>%\n", " summarise(total_reverts = n_distinct(revision_id[is_reverted == \"Reverted\"]),\n", " total_comments = n_distinct(revision_id),\n", " revert_rate =paste(round(total_reverts/total_comments * 100, 2), '%'), .groups = 'drop') %>%\n", " # add credible intervals\n", " cbind(as.data.frame(binom:::binom.bayes(x = .$total_reverts, n = .$total_comments, conf.level = 0.95, tol = 1e-10))) %>%\n", " mutate(lower = round(lower,2), \n", " upper = round(upper, 2))" ] }, { "cell_type": "code", "execution_count": 29, "id": "355e7319-7b73-4cf6-8592-c68230bb1f6b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Logged-out contributors new topic revert rate across all participating Wikipedias
Across all participating Wikipedias
Editing method1Number of new topics revertedNumber of new topics publishedRevert rate2CI (Lower Bound)3CI (Upper Bound)3
Existing add new section link125820.69 %0.110.32
New topic tool240101523.65 %0.210.26
\n", "

\n", " \n", " 1\n", " \n", " \n", " Sampling rate is 100% for new topic tool events and 6.25% for non-new topic tool events\n", "
\n", "

\n", "

\n", " \n", " 2\n", " \n", " \n", " Defined as percent of new topics reverted within 48 hours.\n", "
\n", "

\n", "

\n", " \n", " 3\n", " \n", " \n", " 95% credible intervals. There is a 95% probability that the parameter lies in this interval\n", "
\n", "

\n", "
\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "new_topic_reverts_anon_all_table <- new_topic_reverts_all %>%\n", " select(c(1,2,3,4,11, 12)) %>% #remove unneeded rows\n", " gt() %>%\n", " tab_header(\n", " title = \"Logged-out contributors new topic revert rate across all participating Wikipedias\",\n", " subtitle = \"Across all participating Wikipedias\"\n", " ) %>%\n", " cols_label(\n", " section_edit_type = \"Editing method\",\n", " total_reverts = \"Number of new topics reverted\",\n", " total_comments = \"Number of new topics published\",\n", " revert_rate = \"Revert rate\",\n", " lower = \"CI (Lower Bound)\",\n", " upper = \"CI (Upper Bound)\"\n", " ) %>%\n", "\n", " tab_footnote(\n", " footnote = \"Defined as percent of new topics reverted within 48 hours.\",\n", " locations = cells_column_labels(\n", " columns = 'revert_rate'\n", " )\n", " ) %>%\n", " tab_footnote(\n", " footnote = \"Sampling rate is 100% for new topic tool events and 6.25% for non-new topic tool events\",\n", " locations = cells_column_labels(\n", " columns = 'section_edit_type'\n", " )\n", " ) %>%\n", " tab_footnote(\n", " footnote = \"95% credible intervals. There is a 95% probability that the parameter lies in this interval\",\n", " locations = cells_column_labels(\n", " columns = c('lower', 'upper')\n", " )\n", " ) %>%\n", " gtsave(\n", " \"new_topic_reverts_anon_all_table.html\", inline_css = TRUE)\n", "\n", "IRdisplay::display_html(file = \"new_topic_reverts_anon_all_table.html\")\n" ] }, { "cell_type": "code", "execution_count": 30, "id": "ccbf5220-8d55-4a59-967a-f426578af0cc", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 600, "width": 900 } }, "output_type": "display_data" } ], "source": [ "# Plot revert rates\n", "\n", "p <- new_topic_reverts_all %>%\n", " ggplot(aes(x= section_edit_type, y = total_reverts/ total_comments, fill = section_edit_type)) +\n", " geom_col(position = 'dodge') +\n", " geom_errorbar(aes(ymin = lower, ymax = upper), color = 'red', size = 1, alpha = 0.5, position = dodge, width = 0.25) +\n", " geom_text(aes(label = paste(revert_rate), fontface=2), vjust=1.2, size = 8, color = \"white\") +\n", " scale_y_continuous(labels = scales::percent) +\n", " scale_x_discrete(labels = c(\"Previous add new section link\", \"New topic tool\")) +\n", " labs (y = \"Percent of new comments reverted \",\n", " title = \"Logged out contributors new topic revert rate across \\n all participating Wikipedias\",\n", " caption = \"Revert rate defined as percent of published new topics reverted within 48 hours \\n\n", " Red error bars: 95% credible intervals\") +\n", " scale_fill_manual(values= c(\"#999999\", \"steelblue2\"), name = \"Editing Method\", labels = c(\"Existing add new section link\", \"New topic tool\")) +\n", " theme(\n", " panel.grid.minor = element_blank(),\n", " panel.background = element_blank(),\n", " plot.title = element_text(hjust = 0.5),\n", " text = element_text(size=16),\n", " legend.position=\"bottom\",\n", " axis.text.x = element_blank(),\n", " axis.title.x=element_blank(),\n", " axis.line = element_line(colour = \"black\")) \n", "\n", "p\n", "ggsave(\"Figures/new_topic_reverts_anon_all .png\", p, width = 16, height = 8, units = \"in\", dpi = 300)" ] }, { "cell_type": "markdown", "id": "9612b0c9-ea3b-4a44-9569-22c39b3df381", "metadata": {}, "source": [ "Overall, across all participating Wikipedias, we observed a slight 3 percentage point (20.7% → 23.7%; 14.5% increase) in the revert rate for new topic tool edits made by Junior Contributors compared to edits made using the existing add new section link. \n", "\n", "It is important to note that there is high level of uncertaininty in the revert rate identified for the exisiting add new section link as indicated by the red error bar in the chart above. This is due to the smaller numer of events available to review for this editing method. As a result, there is not sufficient evidence to identify any significant changes in revert rate caused by the new topic tool. " ] }, { "cell_type": "markdown", "id": "c0916526-4c25-44f9-b12d-8e1bf54356e1", "metadata": {}, "source": [ "### Revert rate by participating Wikipedia" ] }, { "cell_type": "code", "execution_count": 32, "id": "1dcbda8d-e8c5-42bb-9153-f27d383e2476", "metadata": {}, "outputs": [], "source": [ "# aggregrate data by wiki and editing interface\n", "new_topic_reverts_bywiki <- new_topic_reverts_anon %>%\n", " group_by(wiki, section_edit_type) %>%\n", " summarise(total_reverts = n_distinct(revision_id[is_reverted == \"Reverted\"]),\n", " total_comments = n_distinct(revision_id),\n", " revert_rate =paste(round(total_reverts/total_comments * 100, 2), '%'), .groups = 'drop') %>%\n", " cbind(as.data.frame(binom:::binom.bayes(x = .$total_reverts, n = .$total_comments, conf.level = 0.95, tol = 1e-10))) %>%\n", " mutate(lower = round(lower,2), \n", " upper = round(upper, 2))" ] }, { "cell_type": "code", "execution_count": 33, "id": "5a6e58cb-7ab8-49ab-bfe3-d7cfd1435f75", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\t\n", "\t\n", "\n", "\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\n", "
A data.frame: 6 × 14
wikisection_edit_typetotal_revertstotal_commentsrevert_ratemethodxnshape1shape2meanloweruppersig
<chr><fct><int><int><chr><fct><int><int><dbl><dbl><dbl><dbl><dbl><dbl>
1Bengali WikipediaExisting add new section link 0 20 % bayes 0 2 0.5 2.50.16666670.000.570.05
2Bengali WikipediaNew topic tool 5 955.56 %bayes 5 9 5.5 4.50.55000000.260.830.05
3Chinese WikipediaExisting add new section link 1 714.29 %bayes 1 7 1.5 6.50.18750000.000.440.05
4Chinese WikipediaNew topic tool 42119.05 %bayes 421 4.517.50.20454550.050.370.05
5Dutch Wikipedia Existing add new section link 1 250 % bayes 1 2 1.5 1.50.50000000.060.940.05
6Dutch Wikipedia New topic tool 153444.12 %bayes153415.519.50.44285710.280.600.05
\n" ], "text/latex": [ "A data.frame: 6 × 14\n", "\\begin{tabular}{r|llllllllllllll}\n", " & wiki & section\\_edit\\_type & total\\_reverts & total\\_comments & revert\\_rate & method & x & n & shape1 & shape2 & mean & lower & upper & sig\\\\\n", " & & & & & & & & & & & & & & \\\\\n", "\\hline\n", "\t1 & Bengali Wikipedia & Existing add new section link & 0 & 2 & 0 \\% & bayes & 0 & 2 & 0.5 & 2.5 & 0.1666667 & 0.00 & 0.57 & 0.05\\\\\n", "\t2 & Bengali Wikipedia & New topic tool & 5 & 9 & 55.56 \\% & bayes & 5 & 9 & 5.5 & 4.5 & 0.5500000 & 0.26 & 0.83 & 0.05\\\\\n", "\t3 & Chinese Wikipedia & Existing add new section link & 1 & 7 & 14.29 \\% & bayes & 1 & 7 & 1.5 & 6.5 & 0.1875000 & 0.00 & 0.44 & 0.05\\\\\n", "\t4 & Chinese Wikipedia & New topic tool & 4 & 21 & 19.05 \\% & bayes & 4 & 21 & 4.5 & 17.5 & 0.2045455 & 0.05 & 0.37 & 0.05\\\\\n", "\t5 & Dutch Wikipedia & Existing add new section link & 1 & 2 & 50 \\% & bayes & 1 & 2 & 1.5 & 1.5 & 0.5000000 & 0.06 & 0.94 & 0.05\\\\\n", "\t6 & Dutch Wikipedia & New topic tool & 15 & 34 & 44.12 \\% & bayes & 15 & 34 & 15.5 & 19.5 & 0.4428571 & 0.28 & 0.60 & 0.05\\\\\n", "\\end{tabular}\n" ], "text/markdown": [ "\n", "A data.frame: 6 × 14\n", "\n", "| | wiki <chr> | section_edit_type <fct> | total_reverts <int> | total_comments <int> | revert_rate <chr> | method <fct> | x <int> | n <int> | shape1 <dbl> | shape2 <dbl> | mean <dbl> | lower <dbl> | upper <dbl> | sig <dbl> |\n", "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", "| 1 | Bengali Wikipedia | Existing add new section link | 0 | 2 | 0 % | bayes | 0 | 2 | 0.5 | 2.5 | 0.1666667 | 0.00 | 0.57 | 0.05 |\n", "| 2 | Bengali Wikipedia | New topic tool | 5 | 9 | 55.56 % | bayes | 5 | 9 | 5.5 | 4.5 | 0.5500000 | 0.26 | 0.83 | 0.05 |\n", "| 3 | Chinese Wikipedia | Existing add new section link | 1 | 7 | 14.29 % | bayes | 1 | 7 | 1.5 | 6.5 | 0.1875000 | 0.00 | 0.44 | 0.05 |\n", "| 4 | Chinese Wikipedia | New topic tool | 4 | 21 | 19.05 % | bayes | 4 | 21 | 4.5 | 17.5 | 0.2045455 | 0.05 | 0.37 | 0.05 |\n", "| 5 | Dutch Wikipedia | Existing add new section link | 1 | 2 | 50 % | bayes | 1 | 2 | 1.5 | 1.5 | 0.5000000 | 0.06 | 0.94 | 0.05 |\n", "| 6 | Dutch Wikipedia | New topic tool | 15 | 34 | 44.12 % | bayes | 15 | 34 | 15.5 | 19.5 | 0.4428571 | 0.28 | 0.60 | 0.05 |\n", "\n" ], "text/plain": [ " wiki section_edit_type total_reverts total_comments\n", "1 Bengali Wikipedia Existing add new section link 0 2 \n", "2 Bengali Wikipedia New topic tool 5 9 \n", "3 Chinese Wikipedia Existing add new section link 1 7 \n", "4 Chinese Wikipedia New topic tool 4 21 \n", "5 Dutch Wikipedia Existing add new section link 1 2 \n", "6 Dutch Wikipedia New topic tool 15 34 \n", " revert_rate method x n shape1 shape2 mean lower upper sig \n", "1 0 % bayes 0 2 0.5 2.5 0.1666667 0.00 0.57 0.05\n", "2 55.56 % bayes 5 9 5.5 4.5 0.5500000 0.26 0.83 0.05\n", "3 14.29 % bayes 1 7 1.5 6.5 0.1875000 0.00 0.44 0.05\n", "4 19.05 % bayes 4 21 4.5 17.5 0.2045455 0.05 0.37 0.05\n", "5 50 % bayes 1 2 1.5 1.5 0.5000000 0.06 0.94 0.05\n", "6 44.12 % bayes 15 34 15.5 19.5 0.4428571 0.28 0.60 0.05" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "head(new_topic_reverts_bywiki)" ] }, { "cell_type": "code", "execution_count": 34, "id": "92b4d66d-aac4-49c4-be36-91d322cf4d63", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " 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Logged-out Contributors new topic revert rate by participating Wikipedia
WikipediaEditing method1Number of new topics revertedNumber of new topics publishedRevert rate2CI (Lower Bound)3CI (Upper Bound)3
Bengali WikipediaExisting add new section link020 %0.000.57
Bengali WikipediaNew topic tool5955.56 %0.260.83
Chinese WikipediaExisting add new section link1714.29 %0.000.44
Chinese WikipediaNew topic tool42119.05 %0.050.37
Dutch WikipediaExisting add new section link1250 %0.060.94
Dutch WikipediaNew topic tool153444.12 %0.280.60
Egyptian WikipediaNew topic tool22100 %0.431.00
French WikipediaExisting add new section link2540 %0.080.77
French WikipediaNew topic tool1411512.17 %0.070.19
Hebrew WikipediaExisting add new section link1425 %0.000.65
Hebrew WikipediaNew topic tool4795.06 %0.010.11
Hindi WikipediaExisting add new section link010 %0.000.77
Hindi WikipediaNew topic tool3742.86 %0.130.75
Indonesian WikipediaNew topic tool3560 %0.230.92
Italian WikipediaExisting add new section link080 %0.000.21
Italian WikipediaNew topic tool2824511.43 %0.080.16
Japanese WikipediaExisting add new section link1425 %0.000.65
Japanese WikipediaNew topic tool77010 %0.040.18
Korean WikipediaNew topic tool395768.42 %0.560.80
Persian WikipediaExisting add new section link010 %0.000.77
Persian WikipediaNew topic tool62326.09 %0.110.45
Polish WikipediaExisting add new section link1520 %0.000.56
Polish WikipediaNew topic tool188022.5 %0.140.32
Portuguese WikipediaExisting add new section link010 %0.000.77
Portuguese WikipediaNew topic tool132944.83 %0.280.62
Spanish WikipediaExisting add new section link21216.67 %0.020.40
Spanish WikipediaNew topic tool4316625.9 %0.200.33
Thai WikipediaNew topic tool040 %0.000.36
Ukrainian WikipediaExisting add new section link1250 %0.060.94
Ukrainian WikipediaNew topic tool303878.95 %0.650.90
Vietnamese WikipediaExisting add new section link2450 %0.120.88
Vietnamese WikipediaNew topic tool63119.35 %0.080.34
\n", "

\n", " \n", " 1\n", " \n", " \n", " Sampling rate is 100% for new topic tool events and 6.25% for non-new topic tool events\n", "
\n", "

\n", "

\n", " \n", " 2\n", " \n", " \n", " Defined as percent of new topic reverted within 48 hours.\n", "
\n", "

\n", "

\n", " \n", " 3\n", " \n", " \n", " 95% credible intervals. There is a 95% probability that the parameter lies in this interval\n", "
\n", "

\n", "
\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "new_topic_reverts_anon_bywiki_table <- new_topic_reverts_bywiki %>%\n", " select(c(1,2,3,4, 5, 12,13)) %>% #remove unneeded rows\n", " gt() %>%\n", " tab_header(\n", " title = \"Logged-out Contributors new topic revert rate by participating Wikipedia\"\n", " ) %>%\n", " cols_label(\n", " wiki = \"Wikipedia\",\n", " section_edit_type = \"Editing method\",\n", " total_reverts = \"Number of new topics reverted\",\n", " total_comments = \"Number of new topics published\",\n", " revert_rate = \"Revert rate\",\n", " lower = \"CI (Lower Bound)\",\n", " upper = \"CI (Upper Bound)\"\n", " ) %>%\n", " tab_footnote(\n", " footnote = \"Defined as percent of new topic reverted within 48 hours.\",\n", " locations = cells_column_labels(\n", " columns = 'revert_rate'\n", " )\n", " ) %>%\n", " tab_footnote(\n", " footnote = \"Sampling rate is 100% for new topic tool events and 6.25% for non-new topic tool events\",\n", " locations = cells_column_labels(\n", " columns = 'section_edit_type'\n", " )\n", " ) %>%\n", " tab_footnote(\n", " footnote = \"95% credible intervals. There is a 95% probability that the parameter lies in this interval\",\n", " locations = cells_column_labels(\n", " columns = c('lower', 'upper')\n", " )\n", " ) %>%\n", " gtsave(\n", " \"new_topic_reverts_anon_bywiki_table.html\", inline_css = TRUE)\n", "\n", "IRdisplay::display_html(file = \"new_topic_reverts_anon_bywiki_table.html\")" ] }, { "cell_type": "markdown", "id": "7c049f1e-9856-49b2-9583-8f26feaf3f6f", "metadata": {}, "source": [ "Some per participating Wikipedia trend highlights :\n", "\n", "* Revert rates vary on a per Wikipedia basis. Very high revert rates (above 50%) identified for Korean, Bengali, Portuguese and Ukranian. It is important to note that there were other events occuring on some of these wikis that may influence these results including the IP edit block at Portuguese Wikipedia and the 2022 Russian invasion of Ukraine may be influencing these rates.\n", "* Some of this variation is due to the significant difference in number of events logged for each new topic editing method. Since new topic tool events were sampled at 100% and non-new topic tool events were sampled at 6.25%, some of the smaller wikis had very few number of non new topic tool events logged to obtain a representative sample. \n", "* There is high level of uncertaininty in the revert rate identified for the exisiting add new section link as indicated by the credible intervals in the chart above. This is due to the smaller numer of events available to review for this editing method. As a result, there is not sufficient evidence to identify any significant per wiki changes in revert rate caused by the new topic tool. " ] }, { "cell_type": "markdown", "id": "3cce2537-91cf-4e0d-86a3-86586c7a7461", "metadata": {}, "source": [ "# Curiosities\n", "\n", "We also explored if the new topic tool resulted in a greater number of Junior Contributors to start participating productively on talk pages and if it caused a greater percentage of Junior Contributors to continue participating productively on talk pages.\n", "\n", "Note: We did not look at retention for logged-out new topic users because unlike the logged-in users who have a persistent bucket that's applied to their account, the logged out bucketing applies entirely to the current browser that is being used by the logged-out user. As a result, this is metric is susceptible to variation in the user's browser selection and not reliable." ] }, { "cell_type": "markdown", "id": "ff258417-247f-4c59-921a-e25404db851d", "metadata": {}, "source": [ "## Number of Logged-Out Contributors\n", "\n", "This metric was defined as the number of distinct logged-out Contributors (based on the `anonymous_user_token` field in EditAttemptStep) who make at least one new topic edit to a page in a talk namespace that is not reverted within 48 hours. Since different sampling rates were applied to each editor type, we removed any events that were oversampled (sampling rate increased to 100%) to allow us to directly compare the numbers between the two groups.\n", "\n", "Note: The logged out bucketing applies entirely to the current browser that is being used by the logged-out contributor. If the logged-out user switched browsers, they may be rebucketed or counted twice. FIXME: Need to confirm.\n" ] }, { "cell_type": "code", "execution_count": 35, "id": "7fe140e1-a8ab-47ac-95a0-5ccb3b430f47", "metadata": {}, "outputs": [], "source": [ "num_anon_editors <- new_topic_attempts %>%\n", " filter(is_oversample == 'false' ) %>% #remove oversampled events\n", " group_by(experiment_group, section_edit_type) %>%\n", " summarise(total_users_attempt = n_distinct(user_id),\n", " total_users_complete = n_distinct(user_id[edit_success == 'Complete']), .groups = 'drop') " ] }, { "cell_type": "code", "execution_count": 36, "id": "287cf1b6-fbf0-4b5c-9ce3-dd0f3ac9ef1b", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Warning message in if ((loc$groups %>% rlang::eval_tidy()) == \"title\") {:\n", "“the condition has length > 1 and only the first element will be used”\n" ] }, { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Number of Logged Out Contributors that made a new topic attempt during the AB test by test group and section edit type1
Test groupEditing methodNumber of users that attempted a new topicNumber of users that published a new topic
controlExisting add new section link45147
testExisting add new section link2278
testNew topic tool52367
\n", "

\n", " \n", " 1\n", " \n", " \n", " Based on a sampling rate of 6.25% for all events. Any oversampled events were removed so data for the two editor types could be directly compared\n", "
\n", "

\n", "
\n", "\n", "\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "num_anon_editors_table <- num_anon_editors %>%\n", " gt() %>%\n", " tab_header(\n", " title = \"Number of Logged Out Contributors that made a new topic attempt during the AB test by test group and section edit type\"\n", " ) %>%\n", " cols_label(\n", " experiment_group = \"Test group\",\n", " section_edit_type = \"Editing method\",\n", " total_users_attempt = \"Number of users that attempted a new topic\",\n", " total_users_complete = \"Number of users that published a new topic\"\n", " ) %>%\n", " tab_row_group(\n", " rows = experiment_group == 'control'\n", " ) %>%\n", "tab_row_group(\n", " rows = experiment_group == 'test'\n", " ) %>%\n", " tab_footnote(\n", " footnote = \"Based on a sampling rate of 6.25% for all events. Any oversampled events were removed so data for the two editor types could be directly compared\",\n", " locations = cells_title(\n", " )\n", " ) %>%\n", " gtsave(\n", " \"num_anon_editors_table.html\", inline_css = TRUE)\n", "\n", "IRdisplay::display_html(file = \"num_anon_editors_table.html\")" ] }, { "cell_type": "markdown", "id": "8db33cf6-8a5d-4011-9745-e70d85bac2d2", "metadata": {}, "source": [ "A few explanations regarding the numbers above:\n", "* A logged-out contirbutor does not have the option of explicitly turning the tool on or off in their preferences. As a result, access to the new topic tool was limited to logged-out users bucketed into the test group.\n", "* There are still existing add new section link attempts that appear in the test group. These might be mislabeled create new section edits or another way to create a new section outside of the existing new section link and full page editing. Further investigation is needed to confirm source. " ] }, { "cell_type": "code", "execution_count": 37, "id": "5265d7bf-fe37-4e64-8242-540abce2e1ef", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 600, "width": 900 } }, "output_type": "display_data" } ], "source": [ "p <-num_anon_editors %>%\n", " group_by(section_edit_type) %>%\n", " summarise(total_user_complete = sum(total_users_complete), .groups = 'drop') %>%\n", " ggplot(aes(x= section_edit_type, y = total_user_complete, fill = section_edit_type)) +\n", " geom_col(position = 'dodge') +\n", " geom_text(aes(label = paste(total_user_complete),fontface=2), vjust=1.2, size = 8, color = \"white\") +\n", " labs (y = \"Number of Logged-Out Contributors\",\n", " title = \"Number of Logged-Out Contributors that completed a new topic \\n across all participating Wikipedias\") +\n", " scale_fill_manual(values= c(\"#999999\", \"steelblue2\"), name = \"Editing Method\", labels = c(\"Existing add new section link\", \"New topic tool\")) +\n", " theme(\n", " panel.grid.minor = element_blank(),\n", " panel.background = element_blank(),\n", " plot.title = element_text(hjust = 0.5),\n", " text = element_text(size=16),\n", " legend.position=\"bottom\",\n", " axis.text.x = element_blank(),\n", " axis.title.x=element_blank(),\n", " axis.line = element_line(colour = \"black\")) \n", "\n", "p\n", "\n", "ggsave(\"Figures/num_anon_editors_bygroup.png\", p, width = 16, height = 8, units = \"in\", dpi = 300)" ] }, { "cell_type": "markdown", "id": "aab32fca-465c-4d11-aa91-0ea765057a2b", "metadata": {}, "source": [ "There were 12 more distinct anonymous users that sucessfully completed an edit with the new topic tool compared the the previous add new section link." ] } ], "metadata": { "kernelspec": { "display_name": "R", "language": "R", "name": "ir" }, "language_info": { "codemirror_mode": "r", "file_extension": ".r", "mimetype": "text/x-r-source", "name": "R", "pygments_lexer": "r", "version": "3.5.2" } }, "nbformat": 4, "nbformat_minor": 5 }