Assessing Partisan Traits of News Text Attributions

@article{Martel2019AssessingPT,
  title={Assessing Partisan Traits of News Text Attributions},
  author={Logan Martel and Edward Newell and Drew B. Margolin and Derek Ruths},
  journal={ArXiv},
  year={2019},
  volume={abs/1902.02179}
}
On the topic of journalistic integrity, the current state of accurate, impartial news reporting has garnered much debate in context to the 2016 US Presidential Election. In pursuit of computational evaluation of news text, the statements (attributions) ascribed by media outlets to sources provide a common category of evidence on which to operate. In this paper, we develop an approach to compare partisan traits of news text attributions and apply it to characterize differences in statements… 

References

SHOWING 1-10 OF 39 REFERENCES
Assessing the Verifiability of Attributions in News Text
TLDR
This paper develops a new NLP task: determining the verifiability of an attribution based on linguistic cues, and operationalizes the notion of verifiable as a score between 0 and 1 using human judgments in a comparison-based approach.
Modeling Factuality Judgments in Social Media Text
TLDR
It is seen that readers are indeed influenced by such framing devices — and there is no evidence that they consider other factors, such as the source, journalist, or the content itself, when assessing readers’ assessment of the certainty of quoted content.
Media bias in presidential elections: a meta‐analysis
A meta-analysis considered 59 quantitative studies containing data concerned with partisan media bias in presidential election campaigns since 1948. Types of bias considered were gatekeeping bias,
Appraising through someone else’s words: The evaluative power of quotations in news reports
This article explores the inclusion of external voices in news reports, especially looking at the way these are exploited for appraising purposes. It is argued that attributions are not evaluation
The Evolution of Objective and Interpretative Journalism in the Western Press
A content analysis of 2,422 political news stories from national and regional newspapers examines the different ways in which the hard-news paradigm has been adopted in the United States, Great
Measuring Media Bias: A Content Analysis of Time and Newsweek Coverage of Domestic Social Issues, 1975–2000*
Objective. This study is an effort to produce a more systematic, empirically‐based, historical‐comparative understanding of media bias than generally is found in previous works. Methods. The research
Effect of Source Attribution on Perception of Online News Stories
Are quoted sources in online news as psychologically meaningful us those in printed and broadcast news? A within-subjects experiment was designed to answer this question. On a web site, forty-eight
CREDBANK: A Large-Scale Social Media Corpus With Associated Credibility Annotations
TLDR
CREDBANK is a corpus of tweets, topics, events and associated human credibility judgements designed to bridge the gap between machine and human computation in online information credibility in fields such as social science, data mining and health.
Evaluation and stance in war news : a linguistic analysis of American, British and Italian television news reporting of the 2003 Iraqi war
Introduction, Haarman and Lombardo 1. Mark up and the narrative structure of TV news, Marchi (University of Siena and Cardiff University) and Venuti (University of Naples Frederico II, Italy) 2. The
A Database of Attribution Relations
TLDR
The collection and further annotation of a database of over 9800 attributions relations from the Penn Discourse TreeBank is presented to build a large and complete resource that fills a key gap in the field and enables the training and testing of robust attribution extraction systems.
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