推特上的网络结构与信息多样性模式

Network Structure and Patterns of Information Diversity on Twitter1

MIS Quarterly · 2018
被引 114
FT 50UTD 24ABS 4★

中文导读

研究分析推特用户分享新闻链接的数据,发现普通用户接触的新闻来源比其接收到的更温和,但少数核心用户表现出极化现象,解释了社交媒体上极化感知的普遍性。

Abstract

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.

社交媒体信息多样性网络结构政治极化回声室效应