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Cited by 17Race, History, and American SocietySocial Movements and Cultural IdentitySocial Media and Politics

Black Networks Matter: The Role of Interracial Contact and Social Media in the 2020 Black Lives Matter Protests

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Simonson, Matthew David, Block Jr, Ray, Druckman, James N., Ognyanova, Katherine, Lazer, David M. J.·2024·Cambridge University Press eBooks
DOI 10.1017/9781009415842
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Abstract

Scholars have long recognized that interpersonal networks play a role in mobilizing social movements. Yet, many questions remain. This Element addresses these questions by theorizing about three dimensions of ties: emotionally strong or weak, movement insider or outsider, and ingroup or cross-cleavage. The survey data on the 2020 Black Lives Matter protests show that weak and cross-cleavage ties among outsiders enabled the movement to evolve from a small provocation into a massive national mobilization. In particular, the authors find that Black people mobilized one another through social media and spurred their non-Black friends to protest by sharing their personal encounters with racism. These results depart from the established literature regarding the civil rights movement that emphasizes strong, movement-internal, and racially homogenous ties. The networks that mobilize appear to have changed in the social media era. This title is also available as Open Access on Cambridge Core.

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  • The primary mobilizing mechanism for the 2020 mass BLM protests following the murder of George Floyd was Black individuals sharing personal stories to mobilize White protestors.

    “Indeed, Simonson et al. (2024) show the primary mobilizing mechanism for the 2020 mass BLM protests following the murder of George Floyd was Black individuals sharing personal stories to mobilize White protestors (i.e., cross-cleavage weak ties).”

    From How to study democratic backsliding (2024) · cites this paper as Simonson et al., 2024

    Section 6.4, “Sharing Stories with Non-Black Friends” (page unavailable), says that Black individuals’ stories of harm were important in mobilizing non-Black protesters. It does not establish story-sharing as the primary mechanism for the protests or limit the finding to White protesters. It also says this effect was particularly notable for strong ties, contrary to the citing sentence’s description of cross-cleavage weak ties. (LLM, conf=0.90)

    Experimental — accuracy not yet measured

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  167. Zhao, Dingxin. 1998. "Ecologies of Social Movements." American Journal of Sociology 103(6):1493-1529. References https://doi.org/10.1017/9781009415842 Published online by Cambridge University Press

Cited by

Sorted by citations

Authors
Simonson, M. D., Block Jr, R., Druckman, J. N., Ognyanova, K., & Lazer, D. M. J.
Affiliations
  • Hebrew University of Jerusalem (IL)
  • University of Rochester (US)
  • Rutgers, The State University of New Jersey (US)
  • Northwestern University (US)
ORCID
Venue
Cambridge University Press eBooks
Publisher
Cambridge University Press
Published
2024-01-24
DOI
10.1017/9781009415842
OpenAlex
W4391151776
Cited by
17
References
17
Citations by year
2026: 4 · 2025: 6 · 2024: 6 · 2023: 1
FWCI
13.74
Type
book
Language
en
Open access
Licence
Locations
  • Cambridge University Press eBooks (publishedVersion, cc-by-nc)
  • Directory of Open access Books (OAPEN Foundation) (submittedVersion, other-oa)
Funders
  • National Science Foundation (2029292, 2116465, 2116458, 2029792, 2116189)
  • John S. and James L. Knight Foundation
  • Amazon Web Services
Topics
  • Social Sciences › Sociology and Political Science › Race, History, and American Society
  • Social Sciences › Sociology and Political Science › Social Movements and Cultural Identity
  • Social Sciences › Communication › Social Media and Politics
Keywords
Black Lives Matter, social movement mobilization, interpersonal networks, weak ties, social media, racism, civil rights movement, racial homogeneity, protest participation

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.

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