Jason Weismueller, Richard L. Gruner, Paul Harrigan, Kristof Coussement, Shasha Wang
{"title":"Information sharing and political polarisation on social media: The role of falsehood and partisanship","authors":"Jason Weismueller, Richard L. Gruner, Paul Harrigan, Kristof Coussement, Shasha Wang","doi":"10.1111/isj.12453","DOIUrl":null,"url":null,"abstract":"<p>We explore if misinformation from political elites (i.e., members of the US Congress) and extreme partisan information from media outlets generate greater engagement than accurate information and non-extreme partisan information. We also investigate how exposure to these information types leads to negative emotions (e.g., anger) in individuals and its association with attitude polarisation. To this end, we analysed fact-checked tweets from political elites, tweets from media outlets and replies to those tweets. Together, these tweets received more than 100 000 replies and were shared more than two million times. We also conducted two online experiments. Our field studies reveal that misinformation and extreme partisan information are associated with higher levels of negative emotions and greater engagement than accurate information and non-extreme partisan information. Our data also show that—while negative emotions in response to extreme partisan information are higher among social media users at the ideological extreme than those at the ideological centre—there is no difference in the two groups' level of negative emotions in response to misinformation. The online experiments demonstrate that exposure to misinformation and extreme partisan information elicits stronger negative emotions than exposure to accurate information and non-extreme partisan information. These negative emotions, in turn, contribute to attitude polarisation. Our work makes practical and theoretical contributions concerning social media information sharing, negativity and political polarisation. We also provide future research avenues with associated research questions.</p>","PeriodicalId":48049,"journal":{"name":"Information Systems Journal","volume":"34 3","pages":"854-893"},"PeriodicalIF":6.5000,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/isj.12453","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Systems Journal","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/isj.12453","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
We explore if misinformation from political elites (i.e., members of the US Congress) and extreme partisan information from media outlets generate greater engagement than accurate information and non-extreme partisan information. We also investigate how exposure to these information types leads to negative emotions (e.g., anger) in individuals and its association with attitude polarisation. To this end, we analysed fact-checked tweets from political elites, tweets from media outlets and replies to those tweets. Together, these tweets received more than 100 000 replies and were shared more than two million times. We also conducted two online experiments. Our field studies reveal that misinformation and extreme partisan information are associated with higher levels of negative emotions and greater engagement than accurate information and non-extreme partisan information. Our data also show that—while negative emotions in response to extreme partisan information are higher among social media users at the ideological extreme than those at the ideological centre—there is no difference in the two groups' level of negative emotions in response to misinformation. The online experiments demonstrate that exposure to misinformation and extreme partisan information elicits stronger negative emotions than exposure to accurate information and non-extreme partisan information. These negative emotions, in turn, contribute to attitude polarisation. Our work makes practical and theoretical contributions concerning social media information sharing, negativity and political polarisation. We also provide future research avenues with associated research questions.
期刊介绍:
The Information Systems Journal (ISJ) is an international journal promoting the study of, and interest in, information systems. Articles are welcome on research, practice, experience, current issues and debates. The ISJ encourages submissions that reflect the wide and interdisciplinary nature of the subject and articles that integrate technological disciplines with social, contextual and management issues, based on research using appropriate research methods.The ISJ has particularly built its reputation by publishing qualitative research and it continues to welcome such papers. Quantitative research papers are also welcome but they need to emphasise the context of the research and the theoretical and practical implications of their findings.The ISJ does not publish purely technical papers.