Studies have documented counterproductive results of challenging people’s misbeliefs, as social media participants tend to distribute into polarized groups that limit their exposure to diverse opinions and react negatively to opposite views. Thus, questions are still open on which type of content might be able to shorten the distance between such polarized groups. Identifying the news’ characteristics able to encourage sharing across distant groups is important to elaborate more effective debunking strategies. In our project, we aim to detect what types of news content (e.g., true vs. false news, emotional connotations, topic, etc.) that are more likely to cross boundaries between echo chambers on Facebook through network brokers—users that occupy structural holes between those groups and connect people with divergent ideas. Our findings hope to shed light on news diffusion within and across groups and to support practitioners in the design of posts that can break echo chambers’ barriers.
Professor, IESE Business School, University of Navarra
Lecturer, IESE Business School, University of Navarra
Maria Giulia Trupia
PhD Student, IESE Business School, University of Navarra