Digital Traces of Interest: Deriving Interest Relationships from Social Media Interactions

Facebook and Twitter have changed the way we consume information, allowing the people we follow to become our “social filters” and determine the content of our information stream. The capability to discover the individuals a user is most interested in following has therefore become an important aspect of the struggle against information overflow. We argue that the people users are most interested in following are not necessarily those with whom they are most familiar. We compare these two types of social relationships – interest and familiarity – inside IBM. We suggest inferring interest relationships from users’ public interactions on four enterprise social media applications. We study these interest relationships through an offline analysis as well as an extensive user study, in which we combine people-based and content-based evaluations. The paper reports a rich set of results, comparing various sources for implicit interest indications; distinguishing between content-rela...

• Type: Journal
• Year: 2011
• Where: ECSCW
• Authors: Michal Jacovi, Ido Guy, Inbal Ronen, Adam Perer, Erel Uziel, Michael Maslenko
• Keywords: ECSCW 2011, Information Overflow, Information Stream, Offline Analysis, Software Engineering