Fake News Detection with Urdu Data Set

This paper investigates how fake news in Urdu language can be identified on social media content. There has been increasing usage of social media and the new is ubiquitous and spread daily over the social media. It is very difficult to identify original news from a fake news. As we all know, billions of users are using social media from all over the world and they spread all types of news. It is very difficult to identify if a news is fake or real and this poses serious concerns as the ultimate objective of the original poster may be malicious.

Authors

Publication Details

Journal
Societal Transformation AI and Big Data Journal
Published
2024-12-31
DOI
https://doi.org/10.20547/aibd.242201
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00
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article

Fake News Detection with Urdu Data Set

Umer Bin Siddiq, Muhammad Bilawal Raheem
Societal Transformation AI and Big Data Journal
Misinformation and Its Impacts
article

Fake News Detection with Urdu Data Set

Umer Bin Siddiq, Muhammad Bilawal Raheem
article en

Abstract

This paper investigates how fake news in Urdu language can be identified on social media content. There has been increasing usage of social media and the new is ubiquitous and spread daily over the social media. It is very difficult to identify original news from a fake news. As we all know, billions of users are using social media from all over the world and they spread all types of news. It is very difficult to identify if a news is fake or real and this poses serious concerns as the ultimate objective of the original poster may be malicious.

Societal Transformation AI and Big Data Journal
Openalex Percentile: Top 50%
Misinformation and Its Impacts
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Fake News Detection with Urdu Data Set — Umer Bin Siddiq, Muhammad Bilawal Raheem · Societal Transformation AI and Big Data Journal (2024) | TGRS Research Map | TGRS