Knowledge sharing and Yahoo Answers: Everyone knows something
dc.contributor.author | Adamic, Lada A. | |
dc.contributor.author | Zhang, Jun | |
dc.contributor.author | Bakshy, Eytan | |
dc.contributor.author | Ackerman, Mark S. | |
dc.date.accessioned | 2008-03-04T21:47:05Z | |
dc.date.available | 2008-03-04T21:47:05Z | |
dc.date.issued | 2008-04 | |
dc.identifier.citation | WWW 2008, Beijing, China, 2008. <http://hdl.handle.net/2027.42/58015> | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/58015 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=18154556&dopt=citation | en_US |
dc.description.abstract | Yahoo Answers (YA) is a large and diverse question-answer forum, acting not only as a medium for sharing technical knowledge, but as a place where one can seek advice, gather opinions, and satisfy one's curiosity about a countless number of things. In this paper, we seek to understand YA's knowledge sharing activity. We analyze the forum categories and cluster them according to content characteristics and patterns of interaction among the users. While interactions in some categories resemble expertise sharing forums, others incorporate discussion, everyday advice, and support. With such a diversity of categories in which one can participate, we nd that some users focus narrowly on speci c topics, while others participate across categories. This not only allows us to map related categories, but to characterize the entropy of the users' interests. We nd that lower entropy correlates with receiving higher answer ratings, but only for categories where factual expertise is primarily sought after. We combine both user attributes and answer characteristics to predict, within a given category, whether a particular answer will be chosen as the best answer by the asker. | en_US |
dc.description.sponsorship | ARI Intel Research National Science Foundation (0325347) | en_US |
dc.format.extent | 2921641 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | en_US |
dc.publisher | ACM | en_US |
dc.subject | Online Communities | en_US |
dc.subject | Expertise Sharing | en_US |
dc.title | Knowledge sharing and Yahoo Answers: Everyone knows something | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Information and Library Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Information, School of | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.identifier.pmid | 18154556 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/58015/1/fp840-adamic.pdf | |
dc.owningcollname | Information, School of (SI) |
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