Mapping Social Media Misinformation in Bangladesh: Evidence from the FactWatch Dataset

DOI

10.2991/978-2-38476-581-2_18How to use a DOI?

Keywords

Misinformation; Bangla NLP; AI Ethics; Digital Media; Fact-checking

Abstract

The most critical ethical and social challenges to solve during the 21st century arise from misinformation that spreads through digital media. The development of artificial intelligence (AI) technologies brings new methods for identifying and preventing misinformation while transforming content creation, storytelling, and documentation practices. This research investigates more than 1,000 fact-checked Bangla posts from social media, which scientists gathered to study how people share false information about internet rumors and politics, and health and science issues. The study describes the findings through analytics methods and visualization techniques, which demonstrate that internet rumors account for more than one-third of all misinformation, while international events and politics, and altered multimedia content (images and videos) form two other important sources of misinformation. The findings demonstrate how misinformation has become part of digital creativity, media ethics, and cultural representation. The research uses the Ethics, Creativity, and Media Innovation in the Age of AI framework to demonstrate how AI-based fact-checking improves digital literacy and enables better representation of non-English media and responsible content consumption. The study demonstrates that AI-driven media innovation enables organizations to establish sustainable public engagement while safeguarding their cultural heritage. The study establishes a framework that demonstrates how Bangla-language misinformation connects to AI technology and media ethics to secure equal access to justice, social fairness, and sustainable development in the digital age.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Talukder Hasnat Zadid
AU  - Md. Shahriar Imtiaz
AU  - Md. Tahmid Hasan
AU  - Md. Jayed Hasan
AU  - Samiul Alam Rafi
AU  - Md. Mazid-Ul-Haque
PY  - 2026
DA  - 2026/05/30
TI  - Mapping Social Media Misinformation in Bangladesh: Evidence from the FactWatch Dataset
BT  - Proceedings of the International Conference on Challenges and Trends in Arts and Social Sciences (ICCTASS 2025)
PB  - Atlantis Press
SP  - 231
EP  - 237
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-581-2_18
DO  - 10.2991/978-2-38476-581-2_18
ID  - Zadid2026
ER  -