Befriended to polarise? The impact of friend identity on review polarisation—A quasi-experiment

IF 6.5 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Lin Wang, Chong (Alex) Wang, Xinyan Yao
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引用次数: 0

Abstract

Opinion polarisation in social media has recently become a significant issue. The existing literature mainly attributes polarisation to online friends' informational social influence, that is, users are more likely to interact with others with similar opinions, which leads to the echo chamber effect. However, the impact of social interaction on individual polarisation may also result from normative social influence, which varies with social settings on the platform. In this paper, we leverage a quasi-experiment to investigate the normative social influence of online friends on focal users' review polarity. We use fixed effects and difference-in-differences approaches, along with propensity score matching, to address the potential endogeneity in users' friend function adoption decisions. Our results indicate that adopting the friend function leads users to post less extreme ratings. We further separate the reviews into positive and negative, finding that the reduction in the review polarity for positive reviews is more prominent than for negative ones. Regarding user heterogeneity, our causal forest analysis uncovers that users with a higher engagement level on the platform are less affected by adopting the friend function than those with less engagement. Our study has clear implications for managers and platform designers, highlighting the importance of social function design in reducing social media induced polarisation.

成为朋友导致两极分化?朋友同一性对评价极化的影响——一个准实验
最近,社交媒体中的意见极化成为一个重要问题。现有文献主要将极化归因于在线好友的信息性社会影响,即用户更有可能与观点相似的人互动,从而导致回音室效应。然而,社交互动对个人极化的影响也可能来自规范性社会影响,这种影响随平台上的社交环境而变化。在本文中,我们利用一个准实验来研究网络好友对焦点用户评论极性的规范性社会影响。我们使用固定效应法、差分法以及倾向得分匹配法来解决用户采用好友功能决策中的潜在内生性问题。我们的结果表明,采用好友功能会使用户发布的极端评价减少。我们进一步将评论分为正面评论和负面评论,发现正面评论极性的降低比负面评论更为显著。在用户异质性方面,我们的因果森林分析发现,与参与度较低的用户相比,平台参与度较高的用户受采用好友功能的影响较小。我们的研究对管理者和平台设计者有明显的启示,强调了社交功能设计在减少社交媒体引起的两极分化方面的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information Systems Journal
Information Systems Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
14.60
自引率
7.80%
发文量
44
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.
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