The Effect of Platform Intervention Policies on Fake News Dissemination and Survival: An Empirical Examination

Ka Chung Ng, Jie Tang, Dongwon Lee

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Fake news on social media has become a serious problem, and social media platforms have started to actively implement various interventions to mitigate its impact. This paper focuses on the effectiveness of two platform interventions, namely a content-level intervention (i.e., a fake news flag that applies to a single post) and an account-level intervention (i.e., a forwarding restriction policy that applies to the entire account). Collecting data from China’s largest social media platform, we study the impact of a fake news flag on three fake news dissemination patterns using a propensity score matching method with a difference-in-differences approach. We find that implementing a policy of using fake news flag influences the dissemination of fake news in a more centralized manner via direct forwards and in a less dispersed manner via indirect forwards, and that fake news posts are forwarded more often by influential users. In addition, compared with truthful news, fake news is disseminated in a less centralized and more dispersed manner and survives for a shorter period after a forwarding restriction policy is implemented. This study provides causal empirical evidence of the effect of a fake news flag on fake news dissemination. We also expand the literature on platform interventions to combat fake news by investigating a less studied account-level intervention. We discuss the practical implications of our results for social media platform owners and policymakers.

Original languageEnglish
Pages (from-to)898-930
Number of pages33
JournalJournal of Management Information Systems
Volume38
Issue number4
DOIs
Publication statusPublished - 2 Jan 2022

Keywords

  • Fake News
  • Fake News Dissemination
  • Fake News Flag
  • Fake News Online
  • Forwarding Restriction Policy
  • Online Disinformation
  • Platform Policies
  • Quasi-Experiment

ASJC Scopus subject areas

  • Management Information Systems
  • Computer Science Applications
  • Management Science and Operations Research
  • Information Systems and Management

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