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Published in:
2021 | OriginalPaper | Chapter
Linguistic Approaches to Fake News Detection
Author : Jane Lugea
Published in: Data Science for Fake News
Publisher: Springer International Publishing
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To date, there is no comprehensive linguistic description of fake news. This chapter surveys a range of fake news detection research, focusing specifically on that which adopts a linguistic approach as a whole or as part of an integrated approach. Areas where linguistics can support fake news characterisation and detection are identified, namely, in the adoption of more systematic data selection procedures as found in corpus linguistics, in the recognition of fake news as a probabilistic outcome in classification techniques, and in the proposal for integrating linguistics in hybrid approaches to fake news detection. Drawing on the research of linguist Douglas Biber, it is suggested that fake news detection might operate along dimensions of extracted linguistic features.