--- name: newms-transparency-and-data description: Use when handling research ethics, transparency, and data sharing for a New Media & Society (NM&S) manuscript — consent and anonymization, the ethics of scraping and platform ToS, qualitative analytic transparency, and any quantitative data/code sharing. Prepares ethics and documentation; it does not over-state requirements. --- # Research Ethics, Transparency & Data (newms-transparency-and-data) NM&S studies people through digital media, so **research ethics for online and platform data** is central, and **transparency** is calibrated to the method, not to a one-size mandate. NM&S follows SAGE/COPE publishing ethics and asks authors to handle ethics, consent, conflicts, funding, and data availability deliberately. The posture: clear ethics, anonymization that actually protects people, and documentation that lets a stranger judge your claims without overstating a replication requirement. ## When to trigger - Planning or reporting consent, anonymization, IRB/ethics approval - Scraping or using platform data and unsure about ToS, public/private, and consent - Documenting qualitative or computational work so the claims are credible - A reviewer asked how others could verify or build on your analysis, or flagged an ethics concern ## Research ethics for online/platform data (the NM&S core) - **Consent and the public/private blur.** "Publicly available" is not the same as "consented." Posts in a semi-private group, identifiable users, or vulnerable communities need a defensible ethics rationale, not just "it was online." State your IRB/ethics-board position. - **Anonymization that protects.** Remove handles, paraphrase searchable quotes (verbatim posts can be reverse-searched to a user), blur faces and identifying detail in screenshots, and consider aggregation. - **Scraping and platform ToS.** Be transparent about how data were collected (API vs. scraping), and acknowledge ToS and legal/ethical constraints; do not over-claim that data are freely redistributable. - **Vulnerable users and harm.** Extra care for minors, marginalized groups, or sensitive topics; minimize harm in what you collect, report, and republish. ## Transparency by method (NM&S / SAGE-COPE norm) | Data type | Typically shareable | Restricted | Credibility documentation | |-----------|---------------------|------------|----------------------------| | Interviews | coding scheme, anonymized excerpts | identifiable transcripts | memo trail, excerpt-to-claim table | | Digital ethnography | analytic memos | informant identities, raw fieldnotes | positionality + IRB conditions note | | Content / discourse corpus | codebook, sample | ToS-restricted raw posts | coding reliability + sampling frame | | Computational / scraped | code + seeds, derived measures | raw API/ToS-restricted data | collection log, validation, model versions | | Any quantitative survey | data + code where ethical | identifiable records | codebook + master script + pinned versions | ## Good practice - **Document provenance and construction**: a README/codebook describing sources, collection window, sampling, variable/category definitions, and analysis steps — so the work is checkable. - **Quantitative/computational**: keep a master script + pinned versions + seeds; share code even when raw platform data cannot be redistributed (give a documented access path). - **Qualitative**: protect informants first; share coding schemes and anonymized excerpts that support the claims without exposing participants. - **Confidentiality outranks sharing**: state clearly when and why data cannot be shared, and what *can*. ## Worked micro-example (illustrative) ``` Study: digital ethnography of a courier forum + interviews + scraped public posts. Ethics: IRB-approved; forum posts paraphrased (not verbatim) to defeat reverse-search; interview informants pseudonymized; minors excluded; employer unnamed. ToS: posts collected via the platform's API within ToS; raw corpus not redistributed; codebook + derived counts shared instead, with an access path on request. Transparency statement: "Coding scheme, anonymized excerpts, and analysis code are available; identifiable data are withheld to protect participants and per platform terms." ``` ## Referee pushback → NM&S-specific fix - *"You quote identifiable users verbatim."* → Paraphrase searchable quotes, strip handles, justify consent. - *"'It was public' isn't an ethics argument."* → State IRB position, public/private rationale, and harm minimization. - *"How could anyone verify the qualitative claims?"* → Provide a coding scheme and excerpt-to-claim table. ## Calibration anchors - **Public ≠ consented.** The ethics question is harm and reasonable expectations, not mere availability. - **Anonymize against reverse-search.** Verbatim posts and visible handles can re-identify users — paraphrase. - **Transparency, not a replication gate.** SAGE asks authors to include a data-availability statement and encourages sharing data where ethical/legal constraints allow; do not promise raw platform data that cannot be shared. ## Anti-patterns - Treating "publicly available" as automatic consent - Verbatim, searchable quotes that re-identify users; unredacted screenshots - Silence on scraping method, API/ToS constraints, or IRB/ethics review - Promising open data that consent/ToS/confidentiality forbid - Over-stating NM&S's policy as a mandatory verified replication deposit ## Output format ``` 【Ethics】consent, IRB/ethics approval, public/private rationale handled? [Y/N] 【Anonymization】reverse-search-resistant; screenshots redacted? [Y/N] 【Data collection】API/scraping + ToS disclosed? [Y/N] 【Sharing posture】what can be shared (code/codebook/excerpts) and what cannot, and why 【Policy check】ethics and data-availability statement aligned with current SAGE guidance? [Y/N] 【Next】newms-review-process ``` ## Supplementary resources - [`../../resources/external_tools.md`](../../resources/external_tools.md) — reproducibility tooling and controlled-access options - [`../../resources/official-source-map.md`](../../resources/official-source-map.md) — SAGE/COPE ethics and data-availability policy