Assessment of Blame and Responsibility Through Social Media in Disaster Recovery in the Case of #FlintWaterCrisis

Frontiers in Communication

Oz, Talha¹  Bisgin, Halil²  Havens, Rachael² 

[1] Department of Computational and Data Sciences, George Mason University, United States;Department of Computer Science, Engineering, and Physics, University of Michigan-Flint, United States

关键词: Sociology of disasters;    computational social science;    Blame;    responsibility;    Flint water crisis;    Social Media;    big data;   

DOI  :  10.3389/fcomm.2018.00045

学科分类：计算机网络和通讯

来源: Frontiers

【 摘 要 】

Attribution of responsibility and blame are important topics in political science especially as individuals tend to think of political issues in terms of questions of responsibility, and as blame carries far more weight in voting behavior than that of credit. However, surprisingly, there is a paucity of studies on the attribution of responsibility and blame in the field of disaster research. The Flint water crisis is a story of government failure at all levels. By studying microblog posts about it, we understand how citizens assign responsibility and blame regarding such a man-made disaster online. We form hypotheses based on social scientific theories in disaster research and then operationalize them on observational social media data. In particular, we investigate the following phenomena: the source for blame; the partisan predisposition; the concerned geographies; and the contagion of complaining. This paper adds to the sociology of disasters research by exploiting a new, rarely used data source (the social web), and by employing new computational methods (such as sentiment analysis and retrospective cohort study design) on this new form of data. In this regard, this work should be seen as the first step toward drawing more challenging inferences on the sociology of disasters from "big social data''.

【 授权许可】

CC BY