FAKE NEWS DETECTION ON TWITTER PROJECT REPORT.

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Authors: Kamal Acharya
Cited by: 0

Abstract

The project is concerned with identifying a solution that could be used to detect and filter out sites containing fake news for purposes of helping users to avoid being lured by clickbaits. It is imperative that such solutions are identified as they will prove to be useful to both readers and tech companies involved in the issue.

Fields of Study & Subjects

Misinformation and Its Impacts Spam and Phishing Detection Hate Speech and Cyberbullying Detection

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 February 2026
Language
EN
Document type
Dataset