Exposing Twitter Users to Contrarian News
Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis,, Michael Mathioudakis

TL;DR
This paper presents a visualization tool for Twitter retweet networks related to controversial topics and proposes a method to expose users to contrarian content to reduce polarization.
Contribution
It introduces a visualization tool for understanding polarized discussions and a solution to expose users to contrarian views to mitigate echo chambers on Twitter.
Findings
Visualization helps understand polarization structure
Contrarian content exposure can reduce echo chambers
Demo tool facilitates exploration of controversial discussions
Abstract
Polarized topics often spark discussion and debate on social media. Recent studies have shown that polarized debates have a specific clustered structure in the endorsement net- work, which indicates that users direct their endorsements mostly to ideas they already agree with. Understanding these polarized discussions and exposing social media users to content that broadens their views is of paramount importance. The contribution of this demonstration is two-fold. (i) A tool to visualize retweet networks about controversial issues on Twitter. By using our visualization, users can understand how polarized discussions are shaped on Twitter, and explore the positions of the various actors. (ii) A solution to reduce polarization of such discussions. We do so by exposing users to information which presents a contrarian point of view. Users can visually inspect our recommendations and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSocial Media and Politics · Misinformation and Its Impacts · Complex Network Analysis Techniques
