Analysing Fake News through Linguistics: Detecting Manipulation Tactics

Iryna Moyseyenko, Iryna Odobetska, Andrii Kovalenko, Vladyslav Mozalov and Olha Rud

Metaverse Basic and Applied Research, 2025, vol. 4, 162

Abstract: Introduction: The purpose of this study is to look at how fake news in English is written and how it affects people’s opinions. This topic is necessary because disinformation now has a major impact on our views about the COVID-19 pandemic, politics and climate change. Methods: The research includes several strategies like content analysis, discourse analysis, psycholinguistic techniques and comparative analysis. Samples of fake news articles that totaled 75 were selected from different social media sites and were compared with other news stories on the same subjects. Results: It has been shown that fake news often uses strong language, makes exaggerations, states things in a clear way and alludes to respected authorities for support. The most commonly used techniques are playing on people’s fears, changing the facts and using language that divides people. If we compare these articles to authenticate news, we notice many differences in their style, tone and what they try to achieve. Conclusions: Fake news becomes more emotional and easy to share because of the features of language used in them. It points out that developing skills to spot misleading news and creating automated systems to catch misleading content is very important and it asks for further research from experts in other fields.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:metave:v:4:y:2025:i::p:162:id:162

DOI: 10.56294/mr2025162

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