What question did this study set out to answer?

This work aims to compare various artificial intelligence techniques in detecting misinformation and disinformation on social media, particularly Twitter.

April 26, 2026Open Access

Repository Copy of: Using and Comparison of Artificial Intelligence Techniques to Detect Misinformation and Disinformation on Twitter

Key Points

This work aims to compare various artificial intelligence techniques in detecting misinformation and disinformation on social media, particularly Twitter.
Comparison of different artificial intelligence techniques
Analysis of detection effectiveness using Twitter data
Specific techniques showed varied effectiveness in detecting misinformation
Detection accuracy rates were assessed, though numerical outcomes were not included

Abstract

This record is a repository-preserved copy of an article originally published in The European Journal of Research and Development by Orclever Science it is not the version of record, and Zenodo is not the publisher of this work. Version of Record (primary publication): https://doi.org/10.56038/ejrnd.v4i2.467 Publisher: Orclever Science & Research Group. Journal: The European Journal of Research and Development. For citation, please use the Crossref DOI and the journal citation above — not the Zenodo DOI.

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