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The Citizen IS the Journalist: Automatically Extracting News from the Swarm

  • João Marcos de Oliveira
  • Peter A. Gloor
Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)

Abstract

User generated content has become a major trend in today’s journalistic ecosystem, where in many cases news arrive on social media platforms even before they reach mainstream media. Due to today’s hyperconnected society, this type of event is becoming more frequent, and “news-like” information is being produced all over the Internet on blogs, posted on Facebook or Twitter, Wikipedia, or any other platform that allows users to share their ideas and experiences. In this chapter, we describe SwarmPulse, a system that extracts news by combing through Wikipedia and Twitter to extract newsworthy items. We measured the accuracy of SwarmPulse comparing it against the Reuters and CNN RSS feeds and the Google News feed. We found precision of 83 % and recall of 15 % against these sources.

Keywords

News Item Twitter User News Channel Breaking News Match Strength 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Federal University of Juiz de ForaJuiz de ForaBrazil
  2. 2.MIT Center for Collective IntelligenceCambridgeUSA

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