User Activity Analytics on the Social Web of News
نویسنده
چکیده
The proliferation of social media is undoubtedly changing the way people produce and consume news online. Editors and publishers in newsrooms need to understand user engagement and audience sentiment evolution on various news topics. News consumers want to explore public reaction on articles relevant to a topic and refine their exploration via related entities, topics, articles and tweets. I will present MAQSA, a system for social analytics on news. MAQSA provides an interactive topic-centric dashboard that summarizes social activity around news articles. The dashboard contains an annotated comment timeline, a social graph of comments, and maps of comment sentiment and topics. The analysis of both content and user engagement in social media in MAQSA enables the exploration of new ways of immersing users in a news consumption experience.
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