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Working paper
Accounting for 'Racism': Responses to Political Predicaments in Two States
In: State politics & policy quarterly: the official journal of the State Politics and Policy Section of the American Political Science Association, Band 7, Heft 3, S. 235-255
ISSN: 1532-4400
How do people explain their behavior in socially unacceptable political situations? Exploring this question will give us insight into how the public responds to and frames collective decisions regarding controversial topics. We analyze accounts of the outcomes of racially sensitive statewide referenda in two states to understand the public responses to such political predicaments. Distinguishing four broad categories of these accounts -- denials, justifications, excuses, and confessions -- we find some clear-cut differences in their use between proponents and opponents of the ballot measures. These results have implications for political thought and dialogue regarding politically-sensitive issues and other heated policy issues. We also discuss how the different account dynamics in these two cases presaged subsequent political developments in these states, which might provide insights into why some such cases continue to be fiercely contested while others fade from public debate. Adapted from the source document.
Accounting for "Racism": Responses to Political Predicaments in Two States
In: State politics & policy quarterly: the official journal of the State Politics and Policy section of the American Political Science Association, Band 7, Heft 3, S. 235-255
ISSN: 1946-1607
How do people explain their behavior in socially unacceptable political situations? Exploring this question will give us insight into how the public responds to and frames collective decisions regarding controversial topics. We analyze accounts of the outcomes of racially sensitive statewide referenda in two states to understand the public responses to such political predicaments. Distinguishing four broad categories of these accounts—denials, justifications, excuses, and confessions—we find some clear-cut differences in their use between proponents and opponents of the ballot measures. These results have implications for political thought and dialogue regarding politically-sensitive issues and other heated policy issues. We also discuss how the different account dynamics in these two cases presaged subsequent political developments in these states, which might provide insights into why some such cases continue to be fiercely contested while others fade from public debate.
The Role of Influential Actors in Fostering the Polarized COVID-19 Vaccine Discourse on Twitter: Mixed Methods of Machine Learning and Inductive Coding
Background: Since COVID-19 vaccines became broadly available to the adult population, sharp divergences in uptake have emerged along partisan lines. Researchers have indicated a polarized social media presence contributing to the spread of mis- or disinformation as being responsible for these growing partisan gaps in uptake. Objective: The major aim of this study was to investigate the role of influential actors in the context of the community structures and discourse related to COVID-19 vaccine conversations on Twitter that emerged prior to the vaccine rollout to the general population and discuss implications for vaccine promotion and policy. Methods: We collected tweets on COVID-19 between July 1, 2020, and July 31, 2020, a time when attitudes toward the vaccines were forming but before the vaccines were widely available to the public. Using network analysis, we identified different naturally emerging Twitter communities based on their internal information sharing. A PageRank algorithm was used to quantitively measure the level of "influentialness" of Twitter accounts and identifying the "influencers," followed by coding them into different actor categories. Inductive coding was conducted to describe discourses shared in each of the 7 communities. Results: Twitter vaccine conversations were highly polarized, with different actors occupying separate "clusters." The antivaccine cluster was the most densely connected group. Among the 100 most influential actors, medical experts were outnumbered both by partisan actors and by activist vaccine skeptics or conspiracy theorists. Scientists and medical actors were largely absent from the conservative network, and antivaccine sentiment was especially salient among actors on the political right. Conversations related to COVID-19 vaccines were highly polarized along partisan lines, with "trust" in vaccines being manipulated to the political advantage of partisan actors. Conclusions: These findings are informative for designing improved vaccine information communication ...
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