Linking Tweets to News: Is All News of Interest?

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Authors:
  • Tariq Ahmad
  • Allan Ramsay

Abstract

In a world where news is being generated almost continu-
ously by many different news providers on many different platforms, it
would be useful in certain industries to be able to determine how much
of that news is actually being read, which news items are not interest
generating or, indeed, if there are topics being discussed on Twitter that
have not even been reported in the news. Twitter generates vast num-
bers of Tweets daily and has a massive active user base, so it is ideal as
a way of gauging what news people are, or are not, interested in. This
paper proposes a technique to efficiently relate Tweets to news articles
and then to determine which news articles are of interest, which are not,
and what is being discussed on Twitter that is not even in the news.

Bibliographical metadata

Original languageEnglish
Title of host publicationArtificial intelligence : methodology, systems, and applications : 17th International Conference, AIMSA 2016, Varna, Bulgaria, September 7-10, 2016, Proceedings
EditorsChristro Dichev, Gennady Agre
Place of Publication9783319447476
PublisherSpringer Nature
Pages151-161
DOIs
Publication statusPublished - 2016

Publication series

NameLecture Notes in Computer Science
Volume9883