Papers with word choice

2 papers
Media Bias, the Social Sciences, and NLP: Automating Frame Analyses to Identify Bias by Word Choice and Labeling (2020.acl-srw)

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Challenge: slanted news coverage can have negative effects on individuals and society . a system that helps readers to become aware of the differences in media coverage caused by bias is being developed.
Approach: They propose to use natural language processing and deep learning to identify instances of WCL bias and estimate the frames they induce.
Outcome: The proposed system can identify instances of WCL bias and estimate the frames they induce.
In Plain Sight: Media Bias Through the Lens of Factual Reporting (D19-1)

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Challenge: lexical bias stems from content realization, or how things are said, but other forms of bias stem from content selection and organization.
Approach: They use a dataset to analyze news articles annotated with 1,727 bias spans to investigate informational bias.
Outcome: The proposed model shows that informational bias appears more frequently than lexical bias.

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