Social Media, Social Control, and the Politics of Public Shaming
Bibliographic Data
| ID | 3763616 |
|---|---|
| Authors | Jennifer Forestal (0000-0003-1153-0552, Loyola University Chicago, corresponding author) |
| Year | 2024 |
| Volume | 118 |
| Issue | 4 |
| Pages | 1704-1718 |
| Publication date | 2024-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Political Science Review (JOURNAL) |
| Journal identifiers | ISSN: 0003-0554 • E-ISSN: 1537-5943 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0003055423001053 |
| OpenAlex | W4388074060 |
| Language | EN |
| Citations received | 6 |
| References cited | 60 |
While there is disagreement over the value of public shaming, scholars largely agree that social media introduce pathologies. But while scholars rightly identify the effects of online public shaming (OPS), they misidentify the cause. Rather than solely a problem of scale, OPS's effects are also shaped by the network structure within which they take place. In this article, I argue that the social conditions necessary for productive public shaming are more likely to obtain in a closed social network structure. Using the cases of Twitter, Wikipedia, and Reddit, I show how the design of social media platforms facilitates different network structures among users, with differing results for OPS. In evaluating OPS by way of network structure, I argue, we can not only better understand why OPS works productively in some cases and not in others, but also derive lessons for how to deploy, discuss, and respond to it more effectively
Control (management · Internet privacy · Political science · Politics · Public relations · Social media · Social network (sociolinguistics · Sociology · Value (mathematics · Computer Science · Hate Speech and Cyberbullying Detection · Law · Misinformation and Its Impacts · Wikis in Education and Collaboration
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| Unique citing works | 6 |
|---|---|
| Citations per year | 6 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |