Planet Social Media Research is a feed aggregator for blogs and feeds discussing research involving social media. The scope is intended to cover research in many disciplines — technical, analytic, linguistic, cultural, social, policy, economic, etc. Relevant technical topics include NLP, information extraction, sentiment detection, opinion extraction, community modeling, blog spam, tagging, graph-based modeling and analysis, semantic web applications, data blogging, trust, influence, SNA, event detection, trend/buzz analysis, and machine learning.

[Thanks to Tim Finin of UMBC !]

The site is supported by the UMBC ebiquity research group, which plans to maintain it as a non-commercial and ad-free resource for the research community.

Email suggestions or recommendations for additional blogs or feeds to planet smr@cs.umbc.eduplanet-smr@cs.umbc.edu.

Planet Social Media Research is a feed aggregator for blogs and feeds discussing research involving social media. The scope is intended to cover research in many disciplines — technical, analytic, linguistic, cultural, social, policy, economic, etc. Relevant technical topics include NLP, information extraction, sentiment detection, opinion extraction, community modeling, blog spam, tagging, graph-based modeling [...]