Platforms intervene
Open accessAbstract
Social media platforms don’t just guide, distort, and facilitate social activity, they also delete some of it. They don’t just link users together, they also suspend them. They don’t just circulate our images and posts, they also algorithmically promote some over others. Platforms pick and choose.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Social data decays with time as users delete their content and accounts, and platform API terms of service prevent sharing of datasets as collected.
“Social data decays with time as users delete their content and accounts (Liu et al., 2014; Gillespie, 2015), and platforms APIs' terms of service prevent sharing of datasets as they are collected.”
From Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019) · cites this paper as Gillespie, 2015
The behaviors observed in online social platforms are partially determined by platform capabilities, which are engineered toward certain goals.
“The behaviors we observe in online social platforms are partially determined by platform capabilities, which are engineered toward certain goals”
From Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019) · cites this paper as Gillespie, 2015
Cited by
Sorted by citations
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Olteanu, A., Castillo, C., Diaz, F., & Kıcıman, E. (2019) · Frontiers in Big Data · doi:10.3389/fdata.2019.00013 · Cited by 763 · see citing works
“The behaviors we observe in online social platforms are partially determined by platform capabilities, which are engineered toward certain goals (Van Dijck, 2013a; Tufekci, 2014; Gillespie, 2015; Salganik, 2017).”
BackgroundUnpacking the Social Media Bot: A Typology to Guide Research and Policy
Gorwa, R., & Guilbeault, D. (2020) · Policy & Internet · doi:10.1002/poi3.184 · Cited by 270 · see citing works
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Olteanu, A., Castillo, C., Diaz, F., & Kiciman, E. (2016) · doi:10.2139/ssrn.2886526 · Cited by 763 · see citing works
Sadler, O. (2022) · Social Media + Society · doi:10.1177/20563051221094769 · Cited by 40 · see citing works
“Technological platforms are created to solve social problems and social problems can be shaped by the platform affordance that control who and what content is given prominence and agency, showing the bias embedded by the human actors who create platforms (Gillespie, 2015; Gillespie et al., 2014).”
Background
- Authors
- Gillespie, T.
- Affiliations
- Microsoft (United States) (US)
- Corresponding author
- Gillespie, Tarleton
- ORCID
- Gillespie, Tarleton
- Venue
- Social Media + Society
- Publisher
- SAGE Publications
- Published
- 2015-04-01
- Volume
- 1
- Issue
- 1
- ISSN
- 2056-3051 (ISSN-L)
- OpenAlex
- W3104378326
- Cited by
- 148
- References
- 0
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 13 · 2023: 15 · 2022: 21 · 2021: 22 · 2020: 24 · 2019: 11 · 2018: 15 · 2017: 12 · 2016: 3 · 2015: 1
- FWCI
- 33.22
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Social Media + Society (publishedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
- Keywords
- social networking sites, platform power, content moderation, account suspension, platform interventions
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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