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dc.contributor.authorMatias, Jorge Nathan
dc.contributor.authorSzalavitz, Sarah
dc.contributor.authorZuckerman, Ethan
dc.date.accessioned2020-08-25T20:02:46Z
dc.date.available2020-08-25T20:02:46Z
dc.date.issued2017-02
dc.identifier.isbn9781450343350
dc.identifier.urihttps://hdl.handle.net/1721.1/126808
dc.description.abstractNetworked gatekeepers on social media increasingly influence which people and groups receive media attention. Many unknowingly direct much greater attention to men than to women. Can technologies support these gatekeepers to follow their own values of equality? Theories of value consistency suggest that confronting people with inconsistencies between values and behavior can prompt behavior change. In this paper, we introduce FollowBias, a novel system that offers feedback on the percentage of women that users follow on Twitter. We conduct field deployments of FollowBias with 61 and 78 participants, exploring differences between their values and behavior, their explanations of those differences, and their changes in behavior. In the first, FollowBias users had a 45 percentage point greater chance of increasing the percentage of women followed over one week. In the second, we fail to find an effect. We also offer findings on political and ethical trade-offs in designing systems for behavior change toward equality.en_US
dc.language.isoen
dc.publisherACM Pressen_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2998181.2998287en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceACMen_US
dc.titleFollowBiasen_US
dc.title.alternativeSupporting Behavior Change toward Gender Equality by Networked Gatekeepers on Social Mediaen_US
dc.typeArticleen_US
dc.identifier.citationMatias, J. Nathan et al. "Supporting Behavior Change toward Gender Equality by Networked Gatekeepers on Social Media." Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, February 2017, Portland, Oregon, USA, ACM Press, February 2017 © 2017 ACMen_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Civic Mediaen_US
dc.relation.journalProceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computingen_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-08-06T16:09:39Z
dspace.date.submission2019-08-06T16:09:40Z


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