Communications of the ACM - Supporting exploratory search
Videolyzer: quality analysis of online informational video for bloggers and journalists
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Characterizing debate performance via aggregated twitter sentiment
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social pixels: genesis and evaluation
Proceedings of the international conference on Multimedia
Topical summarization of web videos by visual-text time-dependent alignment
Proceedings of the international conference on Multimedia
Beyond search: Event-driven summarization for web videos
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Extraction and interactive exploration of knowledge from aggregated news and social media content
Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive computing systems
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The scale and dynamicity of social media, and interaction between traditional news sources and online communities, has created challenges to information retrieval approaches. Users may have no clear information need or be unable to express it in the appropriate idiom, requiring instead to be oriented in an unfamiliar domain, to explore and learn. We present a novel data-driven visualization, termed Eventscape, that combines time, visual media, mood, and controversy. Formative evaluation highlights the value of emotive facets for rapid evaluation of mixed news and social media topics, and a role for such visualizations as pre-cursors to deeper search.