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dc.contributor.authorBernstein, Michael S.
dc.contributor.authorMarcus, Adam
dc.contributor.authorKarger, David R.
dc.contributor.authorMiller, Robert C.
dc.date.accessioned2011-04-04T15:06:01Z
dc.date.available2011-04-04T15:06:01Z
dc.date.issued2010-04
dc.identifier.isbn978-1-60558-929-9
dc.identifier.urihttp://hdl.handle.net/1721.1/62029
dc.description.abstractTo find interesting, personally relevant web content, people rely on friends and colleagues to pass links along as they encounter them. In this paper, we study and augment link-sharing via e-mail, the most popular means of sharing web content today. Armed with survey data indicating that active sharers of novel web content are often those that actively seek it out, we developed FeedMe, a plug-in for Google Reader that makes directed sharing of content a more salient part of the user experience. FeedMe recommends friends who may be interested in seeing content that the user is viewing, provides information on what the recipient has seen and how many emails they have received recently, and gives recipients the opportunity to provide lightweight feedback when they appreciate shared content. FeedMe introduces a novel design space within mixed-initiative social recommenders: friends who know the user voluntarily vet the material on the user's behalf. We performed a two-week field experiment (N=60) and found that FeedMe made it easier and more enjoyable to share content that recipients appreciated and would not have found otherwise.en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machineryen_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/1753326.1753470en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceMIT web domainen_US
dc.titleEnhancing directed content sharing on the weben_US
dc.typeArticleen_US
dc.identifier.citationBernstein, Michael S. et al. “Enhancing directed content sharing on the web.” Proceedings of the 28th international conference on Human factors in computing systems. Atlanta, Georgia, USA: ACM, 2010. 971-980.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.approverKarger, David R.
dc.contributor.mitauthorBernstein, Michael S.
dc.contributor.mitauthorMarcus, Adam
dc.contributor.mitauthorKarger, David R.
dc.contributor.mitauthorMiller, Robert C.
dc.relation.journalProceedings of the 28th International Conference on Human Factors in Computing Systems (CHI '10)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
dspace.orderedauthorsBernstein, Michael S.; Marcus, Adam; Karger, David R.; Miller, Robert C.en
dc.identifier.orcidhttps://orcid.org/0000-0002-0024-5847
dc.identifier.orcidhttps://orcid.org/0000-0002-0442-691X
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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