Word association norms, mutual information, and lexicography
Computational Linguistics
An estimate of an upper bound for the entropy of English
Computational Linguistics
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Coreex: content extraction from online news articles
Proceedings of the 17th ACM conference on Information and knowledge management
How and why people Twitter: the role that micro-blogging plays in informal communication at work
Proceedings of the ACM 2009 international conference on Supporting group work
Meme-tracking and the dynamics of the news cycle
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
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The widespread use of social media is regarded by many as the emergence of a new highway for information and news sharing promising a new information-driven "social revolution". In this paper, we analyze how this idea transfers to the news reporting domain. To analyze the role of social media in news reporting, we ask whether citizen journalists tend to create news or peddle (re-report) existing content. We introduce a framework for exploring divergence between news sources by providing multiple views on corpora in comparison. The results of our case study comparing Twitter and other news sources suggest that a major role of Twitter authors consists of neither creating nor peddling, but extending them by commenting on news.