{"title":"Online Conspiracy Groups: Micro-Bloggers, Bots, and Coronavirus Conspiracy Talk on Twitter","authors":"H. Greve, H. Rao, P. Vicinanza, Echo Yan Zhou","doi":"10.1177/00031224221125937","DOIUrl":null,"url":null,"abstract":"Conspiracies are consequential and social, yet online conspiracy groups that consist of individuals (and bots) seeking to explain events or a system have been neglected in sociology. We extract conspiracy talk about the COVID-19 pandemic on Twitter and use the biterm topic model (BTM) to provide a descriptive baseline for the discursive and social structure of online conspiracy groups. We find that individuals enter these communities through a gateway conspiracy theory before proceeding to extreme theories, and humans adopt more diverse conspiracy theories than do bots. Event-history analyses show that individuals tweet new conspiracy theories, and tweet inconsistent theories simultaneously, when they face a threat posed by a rising COVID-19 case rate and receive attention from others via retweets. By contrast, bots are less responsive to rising case rates, but they are more consistent, as they mainly tweet about how COVID-19 was deliberately created by sinister agents. These findings suggest human beings are bricoleurs who use conspiracy theories to make sense of COVID-19, whereas bots are designed to create moral panic. Our findings suggest that conspiracy talk by individuals is defensive in nature, whereas bots engage in offense.","PeriodicalId":48461,"journal":{"name":"American Sociological Review","volume":"87 1","pages":"919 - 949"},"PeriodicalIF":7.1000,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Sociological Review","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/00031224221125937","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIOLOGY","Score":null,"Total":0}
引用次数: 4
Abstract
Conspiracies are consequential and social, yet online conspiracy groups that consist of individuals (and bots) seeking to explain events or a system have been neglected in sociology. We extract conspiracy talk about the COVID-19 pandemic on Twitter and use the biterm topic model (BTM) to provide a descriptive baseline for the discursive and social structure of online conspiracy groups. We find that individuals enter these communities through a gateway conspiracy theory before proceeding to extreme theories, and humans adopt more diverse conspiracy theories than do bots. Event-history analyses show that individuals tweet new conspiracy theories, and tweet inconsistent theories simultaneously, when they face a threat posed by a rising COVID-19 case rate and receive attention from others via retweets. By contrast, bots are less responsive to rising case rates, but they are more consistent, as they mainly tweet about how COVID-19 was deliberately created by sinister agents. These findings suggest human beings are bricoleurs who use conspiracy theories to make sense of COVID-19, whereas bots are designed to create moral panic. Our findings suggest that conspiracy talk by individuals is defensive in nature, whereas bots engage in offense.
期刊介绍:
The American Sociological Association (ASA) is a non-profit membership association established in 1905. Its mission is to advance sociology as a scientific discipline and profession that serves the public good. ASA is comprised of approximately 12,000 members including faculty members, researchers, practitioners, and students in the field of sociology. Roughly 20% of the members work in government, business, or non-profit organizations.
One of ASA's primary endeavors is the publication and dissemination of important sociological research. To this end, they founded the American Sociological Review (ASR) in 1936. ASR is the flagship journal of the association and publishes original works that are of general interest and contribute to the advancement of sociology. The journal seeks to publish new theoretical developments, research results that enhance our understanding of fundamental social processes, and significant methodological innovations. ASR welcomes submissions from all areas of sociology, placing an emphasis on exceptional quality.
Aside from ASR, ASA also publishes 14 professional journals and magazines. Additionally, they organize an annual meeting that attracts over 6,000 participants. ASA's membership consists of scholars, professionals, and students dedicated to the study and application of sociology in various domains of society.