Context Comparison of Bursty Events in Web Search and Online Media

In this paper, we conducted a systematic comparative analysis of language in different contexts of bursty topics, including web search, news media, blogging, and social bookmarking. We analyze (1) the content similarity and predictability between contexts, (2) the coverage of search content by each context, and (3) the intrinsic coherence of information in each context. Our experiments show that social bookmarking is a better predictor to the bursty search queries, but news media and social blogging media have a much more compelling coverage. This comparison provides insights on how the search behaviors and social information sharing behaviors of users are correlated to the professional news media in the context of bursty events.

• Type: Journal
• Year: 2010
• Where: EMNLP
• Authors: Yunliang Jiang, Cindy Xide Lin, Qiaozhu Mei
• Keywords: EMNLP 2010, Natural Language Processing, Social, Social Blogging Media, Systematic Comparative Analysis