Communication and Media Codes Journal

A JOURNAL OF THE DEPARTMENT OF MASS COMMUNICATION, UNIVERSITY OF NIGERIA, NSUKKA

Misinformation and Disinformation in the Era of Social Media: scaling fact-checking with Artificial Intelligence

Author(s) Name:
Idama, Vivian & Okpoko, Chinwe PhD, Department of Mass Communication, University of Nigeria, Nsukka, Nigeria idamavivian482@gmail.com
Year of Publication:
2024
Volume:
Vol. 1. August, 2024

Abstract

In the rapidly evolving landscape of social media, the dissemination of information has reached unprecedented levels, giving rise to a significant challenge – the rampant spread of misinformation and disinformation. This paper delves into the critical role that Artificial Intelligence (AI) plays in scaling fact-checking processes to combat the growing threat to reliable information. The sheer volume of content on social media platforms makes manual fact-checking an insurmountable task. AI technologies, leveraging natural language processing and machine learning algorithms, offer a scalable solution to identify, analyze, and counteract misleading information. These systems can quickly sift through vast amounts of data, flagging potentially false claims and highlighting areas that require human verification. By training AI models on diverse datasets encompassing various topics, languages, and cultural nuances, the technology becomes adept at discerning context and detecting patterns associated with misinformation. This adaptability is crucial in an era where misleading narratives can evolve rapidly, making it challenging for traditional fact-checking methods to keep pace. Moreover, AI-driven fact-checking is not confined to reactive measures; it can also predict potential misinformation trends. By analyzing historical data and monitoring online conversations, AI models can proactively identify emerging false narratives, enabling quicker responses to prevent the widespread dissemination of inaccurate information. However, challenges persist, including biases in AI algorithms and the need for ongoing refinement to keep up with evolving tactics employed by purveyors of misinformation. Striking a balance between automation and human oversight is crucial to ensuring the accuracy of fact-checking outcomes. In conclusion, this paper highlights the imperative of integrating AI into the fact-checking process to effectively combat misinformation and disinformation in the social media era. The combination of AI’s scalability and predictive capabilities, coupled with human expertise, provides a comprehensive approach to preserving the integrity of information in our interconnected digital society. Keywords: artificial intelligence, fact-checking, social media, journalism, misinformation

Editorial Team

Editor-in-Chief

Prof. Michael O. Ukonu

Deputy Editor-in-Chief

Dr Blessing Chinweobo-Onuoha

Associate Editors

Prof. L.I. Anorue

Prof. J. Wogu

Prof. G. Ezeah

Prof. C.C. Okpoko

Review

Dr Chidiebere Nwachukwu

Dr Ozioma Nwokedi

Dr Victor Nwogbo

Dr Belinda Anyakoha

Dr Uchenna Eze

Dr Ike Ugbor

Secretary

Dr Stephen Ogbodoh

Design Editor

Dr Ike Elike

Business Manager

Dr Martin Ezugwu

Editorial Consultants

Prof. Nnanyelugo Okoro, Department of Mass Communication, University of Nigeria, Nsukka, Enugu State

Professor Sunny Udezeh, Department of Mass Communication, Enugu State University of Science and Technology, Enugu, Enugu State

Professor Ezekiel Asemah, Vice Chancellor’s Office, Glorious Vision University, Benin, Edo State

Professor Jude Terna Kur, Department of Information Science and Media Studies, Federal University of Technology, Minna, Niger State

Prof. Rotimi Williams Olatunji, School of Communications, Lagos State University, Ojo, Lagos State

Prof Walter Ihejirika  

Dr. Chukwujekwu Charles Onwuka Department of Sociology, Chukwuemeka Odumegwu Ojukwu University, Igbariam Campus. Email: cc.onwuka@coou.edu.ng
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