The DOI matches its Crossref record, with a small difference in title or year; 19 of the 19 references it cites were found in a registry or an index.
#HashtagActivism: Networks of Race and Gender Justice
Open accessAbstract
In this book, Sarah Jackson, Moya Bailey, and Brooke Foucault Welles explore how and why Twitter has become an important platform for historically disenfranchised populations, including Black Americans, women, and transgender people. They show how marginalized groups, long excluded from elite media spaces, have used Twitter hashtags to advance counternarratives, preempt political spin, and build diverse networks of dissent. The authors describe how such hashtags as #MeToo, #SurvivorPrivilege, and #WhyIStayed have challenged the conventional understanding of gendered violence; examine the voices and narratives of Black feminism enabled by #FastTailedGirls, #YouOKSis, and #SayHerName; and explore the creation and use of #GirlsLikeUs, a network of transgender women.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The text we found for this paper looks like another document, so the self-check wasn’t run.
Citations
Cites
The publisher hasn’t deposited this paper’s reference list.
Cited by
Sorted by citations
A systematic review of worldwide causal and correlational evidence on digital media and democracy
Lorenz-Spreen, P., Oswald, L., Lewandowsky, S., & Hertwig, R. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01460-1 · Cited by 348
False equivalencies: Online activism from left to right
Freelon, D., Marwick, A., & Kreiss, D. (2020) · Science · doi:10.1126/science.abb2428 · Cited by 281
Hswen, Y., Xu, X., Hing, A. K., Hawkins, J. B., Brownstein, J. S., & Gee, G. C. (2021) · American Journal of Public Health · doi:10.2105/ajph.2021.306154 · Cited by 229
“Thus, hashtagging increases the level of engagement of users.(31) We also caution that opinions on Twitter may not be generalizable to the population, and there are potential selection biases on who uses the platform.”
BackgroundKrupnikov, Y., & Ryan, J. B. (2022) · doi:10.1017/9781108923323 · Cited by 175
A review and provocation: On polarization and platforms
Kreiss, D., & McGregor, S. C. (2024) · New Media & Society · doi:10.1177/14614448231161880 · Cited by 151
“Social media—especially the use of the hashtag #BlackLivesMatter—allowed the movement to scale rapidly (Mundt et al., 2018), as well as to gain significant mass media attention (Freelon et al., 2018) and disrupt counter-narratives (Gallagher et al., 2018; Jackson et al., 2020).”
BackgroundInfluential
Metadata
- Authors
- Jackson, S. J., Bailey, M., & Foucault Welles, B.
- Venue
- MIT Press
- Publisher
- The MIT Press
- Published
- 2020-03-10
- OpenAlex
- W4251102464
- Cited by
- 693
- References
- 0
- Citations by year
- 2026: 141 · 2025: 121 · 2024: 131 · 2023: 109 · 2022: 93 · 2021: 62 · 2020: 35
- FWCI
- 48.85
- Type
- book
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The MIT Press eBooks (publishedVersion)
- Topics
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Gender Studies › Gender, Feminism, and Media
- Social Sciences › Communication › Media and Digital Communication
- Keywords
- hashtag activism, Twitter, social media activism, marginalized communities, counter-narratives, political spin, #MeToo, #BlackLivesMatter, gender-based violence, Black feminism, transgender women, racial justice, police killings, online mobilization
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 ›
Are you an author, or do you see a problem with this page? Request a review
