Media manipulation detection: Challenges and perspectives
Submitted: 2025-09-28
|Accepted: 2025-10-25
|Published: 2025-11-20
Copyright (c) 2025 Journal of Computer-Assisted Linguistic Research
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Keywords:
mass media, manipulation detection, logical fallacies, ambiguity, biased framing
Supporting agencies:
Immanuel Kant Baltic Federal University
Abstract:
The article deals with the issue of mass media manipulation and presents a prototype of an innovative browser extension specifically designed to identify biases and manipulative techniques across various dimensions, including lexical, syntactic, and pragmatic levels. This tool is designed not only to detect subtle forms of manipulation embedded within media narratives but also to empower users with an insightful understanding of these tactics. The primary objective of this program is to inform users regarding the potential threats linked with consuming media content, such as news articles or analytical political materials. By meticulously scrutinizing the language employed in these texts, the extension aims to uncover the underlying agendas that may distort public perception. The strategy involves the incorporation of an optimal combination of features, such as detection of emotionally charged vocabulary, biased framing, unsourced claims, ambiguities, and more. The article analyzes both the advantages and the drawbacks of the current approach and provides suggestions for further improvement of the future program.
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