Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

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Fake Data and AI: Debunking Fake News to Educate and Enhance Media Literacy – A Study

Authors
Kavita Soni1, *, Rekha Shelke1
1College of Journalism and Mass Communication, MGM University, Aurangabad, India
*Corresponding author. Email: ksoni@mgmu.ac.in
Corresponding Author
Kavita Soni
Available Online 1 May 2023.
DOI
10.2991/978-94-6463-136-4_20How to use a DOI?
Keywords
Fake News; Debunking; Artificial Intelligence; Machine Learning
Abstract

Everyone in this modern and technology-prone era relies on various online news sources for quick access of information. In addition, with the rise in popularity of social networking sites, within a short span of time, rumors circulate quickly among millions of users. Fake news is a threat to democratic societies and political systems by fostering hatred through a variety of methods, including satirical or fake data, imposter information, created content, fake links, false context, and manipulated content spread through social media platforms such as WhatsApp, Facebook, and Twitter [1] (Quandt, 2018). To halt the dissemination of fake content in emerging nations like India, it has become the need of the hour to educate every person about the debunking of false information, thus resulting in digital media literacy. The research paper is a study that is descriptive in nature, and it explores and analyses various available digital tools and technology for debunking virtual reality and fake news in the media. The study reveals that in India rise in machine based digital literacy is required to be familiar with reliable artificial intelligence supported fact-checking mechanisms to make people aware of the styles and techniques available for easily identifying and debunking fake news.

Copyright
© 2023 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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Volume Title
Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
Series
Advances in Computer Science Research
Publication Date
1 May 2023
ISBN
978-94-6463-136-4
ISSN
2352-538X
DOI
10.2991/978-94-6463-136-4_20How to use a DOI?
Copyright
© 2023 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.

Cite this article

risenwbib
TY  - CONF
AU  - Kavita Soni
AU  - Rekha Shelke
PY  - 2023
DA  - 2023/05/01
TI  - Fake Data and AI: Debunking Fake News to Educate and Enhance Media Literacy – A Study
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 201
EP  - 213
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_20
DO  - 10.2991/978-94-6463-136-4_20
ID  - Soni2023
ER  -