Fake News as Discursive Integration: An Analysis of Sites That Publish False, Misleading, Hyperpartisan and Sensational Information

@article{Mouro2019FakeNA,
  title={Fake News as Discursive Integration: An Analysis of Sites That Publish False, Misleading, Hyperpartisan and Sensational Information},
  author={Rachel R. Mour{\~a}o and Craig T. Robertson},
  journal={Journalism Studies},
  year={2019},
  volume={20},
  pages={2077 - 2095}
}
ABSTRACT After the 2016 US presidential election, the concept of fake news captured popular attention, but conversations lacked a clear conceptualization and used the label in elastic ways to describe various distinct phenomena. In this paper, we analyze fake news as genre blending, combining elements of traditional news with features that are exogenous to normative professional journalism: misinformation, sensationalism, clickbait, and bias. Through a content analysis of stories published by… 
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Fighting the Fake: A Forensic Linguistic Analysis to Fake News Detection
  • R. Sousa-Silva
  • Computer Science
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  • 2022
TLDR
A forensic linguistic analysis offake news pieces published in English and in Portuguese, which were collected since 2019 from acknowledged fake news outlets, reveals that fake news pieces employ particular linguistic features, e.g. at the levels of typography, orthography and spelling, and morphosyntax.
Gender Differences in Tackling Fake News: Different Degrees of Concern, but Same Problems
In the current media ecosystem, in which the traditional media coexists with new players who are able to produce information and spread it widely, there is growing concern about the increasing
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