Social media vs. news media: Analyzing real-world events from different perspectives

Liqiang Wang, Ziyu Guo, Yafang Wang, Zeyuan Cui, Shijun Liu, Gerard de Melo

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

3 Scopus citations

Abstract

For a long time, the news media has played a crucial role not only as an information provider, but also as an influential source of opinion and commentary. Nowadays, platforms such as Twitter provide an alternative to the traditional one-way interaction, enabling users to voice their opinions. Hence, one can obtain a more comprehensive picture of the range of perspectives on real-world events by considering both news and social media sources. In this paper, we compare mainstream news and Twitter data on 18 well-known real-world events from six different categories. We propose the event-based authoring model (EvA), a novel probabilistic model to capture the content characteristics of an event with respect to aspect, category and background word distributions. These results allow us to analyze the real-world events in different perspectives.

Original languageEnglish (US)
Title of host publicationDatabase and Expert Systems Applications - 29th International Conference, DEXA 2018, Proceedings
EditorsGünther Pernul, Sven Hartmann, Hui Ma, Abdelkader Hameurlain, Roland R. Wagner
PublisherSpringer Verlag
Pages471-479
Number of pages9
ISBN (Print)9783319988115
DOIs
StatePublished - 2018
Event29th International Conference on Database and Expert Systems Applications, DEXA 2018 - Regensburg, Germany
Duration: Sep 3 2018Sep 6 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11030 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other29th International Conference on Database and Expert Systems Applications, DEXA 2018
Country/TerritoryGermany
CityRegensburg
Period9/3/189/6/18

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

Keywords

  • News media
  • Real-world event analysis
  • Social media
  • Topic model

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