This paper reports initial findings from a study that used quantitative and qualitative research methods and custom–built software to investigate online economies of reputation and user practices in online product reviews at several leading e–commerce sites (primarily Amazon.com).
The mission of the Journal of Machine Learning Gossip (JMLG) is to provide an archival source of important information that is often discussed informally at conferences but is rarely, if ever, written down.