Exploring Double Subjectivity through News Frames in Online News Sources: A Network Approach

Loretta H. Cheeks, Ashraf Gaffar

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

1 Scopus citations

Abstract

The Internet is a major source of online news content. Current efforts are made to unlock latent meaning in online news content using advanced language processing tools and machine intelligence. This necessitates exploring the internal structure of news narratives to cope with the challenges posed by limitations of existing tools. This article explores the conceptualization of Double Subjectivity in news frames as deployed by online news sources. We propose a new perspective by exploring a) a News Frame Issues Network that is useful for describing the structure of online news media and b) formulating an influence model for understanding the dynamics of bias that underpins Double Subjectivity. This research has the potential to inform more intelligent conclusions about narrative text meaning (or semantics) to address real-world socio-environmental issues. We use water insecurity in the Southwestern United States as our contextual case. Our experimental evaluation shows the proposed network and model is an effective approach for advancing what we know about the production of language in narrative text where subjectivity exist.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 11th International Conference on Semantic Computing, ICSC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages24-31
Number of pages8
ISBN (Electronic)9781509048960
DOIs
StatePublished - Mar 29 2017
Event11th IEEE International Conference on Semantic Computing, ICSC 2017 - San Diego, United States
Duration: Jan 30 2017Feb 1 2017

Other

Other11th IEEE International Conference on Semantic Computing, ICSC 2017
CountryUnited States
CitySan Diego
Period1/30/172/1/17

Keywords

  • bias
  • framing
  • natural language processing
  • news source
  • sentiment
  • sentiment analysis
  • social influence
  • Subjectivity
  • subjectivity

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Computer Networks and Communications

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  • Cite this

    Cheeks, L. H., & Gaffar, A. (2017). Exploring Double Subjectivity through News Frames in Online News Sources: A Network Approach. In Proceedings - IEEE 11th International Conference on Semantic Computing, ICSC 2017 (pp. 24-31). [7889499] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSC.2017.50