Insight4News: Connecting News to Relevant Social Conversations

  • Bichen Shi
  • Georgiana Ifrim
  • Neil Hurley
Conference paper

DOI: 10.1007/978-3-662-44845-8_38

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8726)
Cite this paper as:
Shi B., Ifrim G., Hurley N. (2014) Insight4News: Connecting News to Relevant Social Conversations. In: Calders T., Esposito F., Hüllermeier E., Meo R. (eds) Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2014. Lecture Notes in Computer Science, vol 8726. Springer, Berlin, Heidelberg

Abstract

We present the Insight4News system that connects news articles to social conversations, as echoed in microblogs such as Twitter. Insight4News tracks feeds from mainstream media, e.g., BBC, Irish Times, and extracts relevant topics that summarize the tweet activity around each article, recommends relevant hashtags, and presents complementary views and statistics on the tweet activity, related news articles, and timeline of the story with regard to Twitter reaction. The user can track their own news article or a topic-focused Twitter stream. While many systems tap on the social knowledge of Twitter to help users stay on top of the information wave, none is available for connecting news to relevant Twitter content on a large scale, in real time, with high precision and recall. Insight4News builds on our award winning Twitter topic detection approach and several machine learning components, to deliver news in a social context.

Keywords

news tracking social media Twitter summarization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Bichen Shi
    • 1
  • Georgiana Ifrim
    • 1
  • Neil Hurley
    • 1
  1. 1.Insight Centre for Data AnalyticsUniversity College DublinDublinIreland

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