TY - GEN
T1 - Can you believe an anonymous contributor? on truthfulness in yahoo! answers
AU - Pelleg, Dan
AU - Yom-Tov, Elad
AU - Maarek, Yoelle
PY - 2012
Y1 - 2012
N2 - Internet users notoriously take an assumed identity or masquerade as someone else, for reasons such as financial profit or social benefit. But often the converse is also observed, where people choose to reveal true features of their identity, including deeply intimate details. This work attempts to explore several of the conditions that allow this to happen by analyzing the content generated by these users. We examine multiple social media on the Web, specifically focusing on Yahoo! Answers, encompassing more than a billion answers posted since 2006. Our analysis covers discussions of personal topics such as body measurements and income, and of socially sensitive subjects such as sexual behaviors. We offer quantitative proof that people are aware of the fact that they are posting sensitive information, and yet provide accurate information to fulfill specific information needs. Our analysis further reveals that on community question answering sites, when users are truthful, their expectation of an accurate answer is met.
AB - Internet users notoriously take an assumed identity or masquerade as someone else, for reasons such as financial profit or social benefit. But often the converse is also observed, where people choose to reveal true features of their identity, including deeply intimate details. This work attempts to explore several of the conditions that allow this to happen by analyzing the content generated by these users. We examine multiple social media on the Web, specifically focusing on Yahoo! Answers, encompassing more than a billion answers posted since 2006. Our analysis covers discussions of personal topics such as body measurements and income, and of socially sensitive subjects such as sexual behaviors. We offer quantitative proof that people are aware of the fact that they are posting sensitive information, and yet provide accurate information to fulfill specific information needs. Our analysis further reveals that on community question answering sites, when users are truthful, their expectation of an accurate answer is met.
KW - Anonymity
KW - Social question answering
KW - Truthfulness
UR - http://www.scopus.com/inward/record.url?scp=84873617013&partnerID=8YFLogxK
U2 - 10.1109/socialcom-passat.2012.13
DO - 10.1109/socialcom-passat.2012.13
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AN - SCOPUS:84873617013
SN - 9780769548487
T3 - Proceedings - 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust and 2012 ASE/IEEE International Conference on Social Computing, SocialCom/PASSAT 2012
SP - 411
EP - 420
BT - Proceedings - 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust and 2012 ASE/IEEE International Conference on Social Computing, SocialCom/PASSAT 2012
T2 - 2012 ASE/IEEE International Conference on Social Computing, SocialCom 2012 and the 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2012
Y2 - 3 September 2012 through 5 September 2012
ER -