This paper studies two types of social influence in an online music community: observational learning influence based on aggregate consumption data, and social network influence based on music consumption by friends in social proximity. The analysis uses a variety of empirical methods, applied to highly granular user listening and "favoriting" behavior on the largest music blog aggregator site. Our analysis finds positive evidence for observational learning effects, but no evidence for social network influence. Thus, any social influence in this music context is channeled through popularity cues offered by aggregate consumption statistics, rather than contact and communication with friends in close social proximity. We discuss implications of these results for research and practice.
|Published - Jan 1 2013
|23rd Workshop on Information Technology and Systems: Leveraging Big Data Analytics for Societal Benefits, WITS 2013 - Milan, Italy
Duration: Dec 14 2013 → Dec 15 2013
|23rd Workshop on Information Technology and Systems: Leveraging Big Data Analytics for Societal Benefits, WITS 2013
|12/14/13 → 12/15/13
All Science Journal Classification (ASJC) codes
- Information Systems