NETWORK STRUCTURE AND PATTERNS OF INFORMATION DIVERSITY ON TWITTER

成果类型:
Article
署名作者:
Shore, Jesse; Baek, Jiye; Dellarocas, Chrysanthos
署名单位:
Boston University; Hong Kong University of Science & Technology
刊物名称:
MIS QUARTERLY
ISSN/ISSBN:
0276-7783
DOI:
10.25300/MISQ/2018/14558
发表日期:
2018
页码:
849-+
关键词:
social media big data online PARTICIPATION COMMUNICATION segregation analytics search news
摘要:
Social media have great potential to support diverse information sharing, but there is widespread concern that platforms like Twitter do not result in communication between those who hold contradictory viewpoints. Because users can choose whom to follow, prior research suggests that social media users exist in echo chambers or become polarized. We seek evidence of this in a complete cross section of hyperlinks posted on Twitter, using previously validated measures of the political slant of news sources to study information diversity. Contrary to prediction, we find that the average account posts links to more politically moderate news sources than the ones they receive in their own feed. However, members of a tiny network core do exhibit cross-sectional evidence of polarization and are responsible for the majority of tweets received overall due to their popularity and activity, which could explain the widespread perception of polarization on social media.
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