TY - GEN
T1 - The perception of others
T2 - 17th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2014
AU - Jacovi, Michal
AU - Guy, Ido
AU - Kremer-Davidson, Shiri
AU - Porat, Sara
AU - Aizenbud-Reshef, Netta
PY - 2014/1/1
Y1 - 2014/1/1
N2 - The emergence of social media allows people to interact with others all over the world. During interaction, people leave many traces behind that can reveal things about themselves, or about how they perceive others: having many followers may indicate that one is an influencer; forum answers that gain high ranking, are likely to testify for expertise; people who gain high ranking in eCommerce sites are likely to be trustworthy. In this paper, we examine whether public online traces can be used for inferring the reputation of a person as perceived by others in relation to trustworthiness, influence, expertise, and impact. We describe a study performed on indicators of reputation that employees leave in a rich organizational social media platform. We compare different indicators, and report the results of an extensive user study with over 500 participants who provided their perception of thousands of others through a set of hypothetical scenarios.
AB - The emergence of social media allows people to interact with others all over the world. During interaction, people leave many traces behind that can reveal things about themselves, or about how they perceive others: having many followers may indicate that one is an influencer; forum answers that gain high ranking, are likely to testify for expertise; people who gain high ranking in eCommerce sites are likely to be trustworthy. In this paper, we examine whether public online traces can be used for inferring the reputation of a person as perceived by others in relation to trustworthiness, influence, expertise, and impact. We describe a study performed on indicators of reputation that employees leave in a rich organizational social media platform. We compare different indicators, and report the results of an extensive user study with over 500 participants who provided their perception of thousands of others through a set of hypothetical scenarios.
KW - Enterprise
KW - Expertise
KW - Influence
KW - Reputation
KW - Social media
KW - Trust
KW - Workplace
UR - http://www.scopus.com/inward/record.url?scp=84899015709&partnerID=8YFLogxK
U2 - 10.1145/2531602.2531667
DO - 10.1145/2531602.2531667
M3 - Conference contribution
AN - SCOPUS:84899015709
SN - 9781450325400
T3 - Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
SP - 756
EP - 766
BT - CSCW 2014 - Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing
PB - Association for Computing Machinery
Y2 - 15 February 2014 through 19 February 2014
ER -