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

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorGarimella, Kiranen_US
dc.contributor.authorDe Francisci Morales, Gianmarcoen_US
dc.contributor.authorGionis, Aristidesen_US
dc.contributor.authorMathioudakis, Michaelen_US
dc.contributor.departmentDepartment of Computer Scienceen
dc.contributor.groupauthorAdj. Prof. Gionis Aris groupen
dc.contributor.groupauthorHelsinki Institute for Information Technology (HIIT)en
dc.contributor.organizationQatar Computing Research Instituteen_US
dc.date.accessioned2018-02-09T10:01:21Z
dc.date.available2018-02-09T10:01:21Z
dc.date.issued2019-01-01en_US
dc.description| openaire: EC/H2020/654024/EU//SoBigData
dc.description.abstractPolarized 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.en
dc.description.versionPeer revieweden
dc.format.extent5
dc.format.extent201-205
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationGarimella, 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/10.1145/3041021.3054737en
dc.identifier.doi10.1145/3041021.3054737en_US
dc.identifier.isbn978-1-4503-4914-7
dc.identifier.otherPURE UUID: 8bc5f85e-6564-4124-97c2-faba3eb9de30en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/8bc5f85e-6564-4124-97c2-faba3eb9de30en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85046970009&partnerID=8YFLogxKen_US
dc.identifier.otherPURE LINK: https://doi.org/10.1145/3041021.3054737en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/17148311/p201_garimella.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/29898
dc.identifier.urnURN:NBN:fi:aalto-201802091394
dc.language.isoenen
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/654024/EU//SoBigDataen_US
dc.relation.ispartofWWW International Conference on World Wide Weben
dc.relation.ispartofseriesProceedings of the 26th International Conference on World Wide Web Companionen
dc.rightsopenAccessen
dc.subject.keywordcontroversyen_US
dc.subject.keywordecho chambersen_US
dc.subject.keywordfilter bubbleen_US
dc.subject.keywordpolarizationen_US
dc.subject.keywordtwitteren_US
dc.titleMary, Mary, Quite Contrary: Exposing Twitter Users to Contrarian Newsen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionpublishedVersion
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