Mary, Mary, Quite Contrary: Exposing Twitter Users to Contrarian News

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Journal Title
Journal ISSN
Volume Title
Conference article in proceedings
Date
2019-01-01
Major/Subject
Mcode
Degree programme
Language
en
Pages
5
201-205
Series
Proceedings of the 26th International Conference on World Wide Web Companion
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 network, 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 understand why and how these would play out in terms of the retweet network. Our demo (https://users.ics.aalto.fi/kiran/reducingControversy/ homepage) provides one of the first steps in developing automated tools that help users explore, and possibly escape, their echo chambers. The ideas in the demo can also help content providers design tools to broaden their reach to people with different political and ideological backgrounds.
Description
| openaire: EC/H2020/654024/EU//SoBigData
Keywords
controversy, echo chambers, filter bubble, polarization, twitter
Other note
Citation
Garimella , K , De Francisci Morales , G , Gionis , A & Mathioudakis , M 2019 , Mary, Mary, Quite Contrary: Exposing Twitter Users to Contrarian News . in 26th International World Wide Web Conference 2017, WWW 2017 Companion . ACM , Switzerland , pp. 201-205 , International World Wide Web Conference , Perth , Australia , 03/04/2017 . https://doi.org/10.1145/3041021.3054737