Corpus ID: 15169237

Bias in Hard News Articles from Fox News and MSNBC: An Empirical Assessment Using the Gramulator

@inproceedings{Terwilleger2011BiasIH,
  title={Bias in Hard News Articles from Fox News and MSNBC: An Empirical Assessment Using the Gramulator},
  author={Brock Terwilleger and Philip M. McCarthy and Travis Alan Lamkin},
  booktitle={FLAIRS Conference},
  year={2011}
}
Hard news articles, just like op-ed articles, can reflect a media organization's bias. This study assesses bias in the hard news articles published by Fox News and MSNBC. Indicative linguistic features identified by the Gramulator reveal biases in corpora from the two networks. 
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SHOWING 1-6 OF 6 REFERENCES
Linguistic Inquiry and Word Count (LIWC2007)
  • 2,306
  • PDF
in press. The Gramulator: A Tool for the Identification of Indicative Linguistic Features Applied Natural Language Processing and Content Analysis: Identification, Investigation, and Resolution
  • in press. The Gramulator: A Tool for the Identification of Indicative Linguistic Features Applied Natural Language Processing and Content Analysis: Identification, Investigation, and Resolution
press. Exploring Media Bias with Semantic Analysis Tools: Validation of the Contrast Analysis of Semantic Similarity (CASS). Behavior Research Methods
  • press. Exploring Media Bias with Semantic Analysis Tools: Validation of the Contrast Analysis of Semantic Similarity (CASS). Behavior Research Methods