Tweeting Blame in a Federalist System
Attributions for Disaster Response in Social Media Following Hurricane Sandy
Bibliographic Data
| ID | 10763593 |
|---|---|
| Authors | Kristine Laura Canales (University of North Carolina at Charlotte), Joellen V Pope (0000-0003-2239-1594, University of North Carolina at Charlotte), Cherie D Maestas (University of North Carolina at Charlotte), Cherie Maestas (0000-0001-7443-7772, University of North Carolina at Charlotte, corresponding author) |
| Year | 2019 |
| Volume | 100 |
| Issue | 7 |
| Pages | 2594-2606 |
| Publication date | 2019-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Science Quarterly (JOURNAL) |
| Journal identifiers | ISSN: 0038-4941 • E-ISSN: 1540-6237 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/ssqu.12669 |
| OpenAlex | W2946317747 |
| Language | EN |
| Citations received | 9 |
| References cited | 34 |
Objective Attribution of responsibility for government performance in a federalist system is challenging but necessary for democratic accountability. We identify competing hypotheses for how attributions for government performance might arise in social media and test our expectations using data drawn from Twitter following Hurricane Sandy. Method We use a novel linguistic approach to measure blame attributions in text and compare patterns of blame attributions toward multiple levels of government over time. Results Social media blame attributions emerge at the outset of the storm and are more likely to center on federal actors, followed by local actors. State actors received the least blame. We find similar patterns in retweets. Conclusion Our results suggest that social media privileges attributions that target broadly salient national political actors; however, social media accounts of disaster may make it easier for the public to assess performance of local and state government
Accountability · Attribution · Blame · Federalist · Government (linguistics) · Political science · Politics · Public relations · Social media · Sociology · State (computer science) · Disaster Management and Resilience · Law · Psychology · Public Relations and Crisis Communication · Social Media and Politics · Social Psychology
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| Unique citing works | 9 |
|---|---|
| Citations per year | 1,29 |
| Citation span | 2019 - 2025 (7) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 8 |