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Publication Type : Journal Article
Publisher : Heliyon
Source : Heliyon, Volume 10, Issue 3, 15 February 2024, Article number e24727. DOI: 10.1016/j.heliyon.2024.e24727
Campus : Amaravati, Amritapuri
School : School of Business, School of Computing
Center : AmritaCREATE
Year : 2024
Abstract : In the digital age, where information is a cornerstone for decision-making, social media's not-so-regulated environment has intensified the prevalence of fake news, with significant implications for both individuals and societies. This study employs a bibliometric analysis of a large corpus of 9678 publications spanning 2013–2022 to scrutinize the evolution of fake news research, identifying leading authors, institutions, and nations. Three thematic clusters emerge: Disinformation in social media, COVID-19-induced infodemics, and techno-scientific advancements in auto-detection. This work introduces three novel contributions: 1) a pioneering mapping of fake news research to Sustainable Development Goals (SDGs), indicating its influence on areas like health (SDG 3), peace (SDG 16), and industry (SDG 9); 2) the utilization of Prominence percentile metrics to discern critical and economically prioritized research areas, such as misinformation and object detection in deep learning; and 3) an evaluation of generative AI's role in the propagation and realism of fake news, raising pressing ethical concerns. These contributions collectively provide a comprehensive overview of the current state and future trajectories of fake news research, offering valuable insights for academia, policymakers, and industry. © 2024 The Author(s)
Cite this Research Publication : Raman, R., Kumar Nair, V., Nedungadi, P., Kumar Sahu, A., Kowalski, R., Ramanathan, S., Achuthan, K., "Fake news research trends, linkages to generative artificial intelligence and sustainable development goals," Heliyon, Volume 10, Issue 3, 15 February 2024, Article number e24727. DOI: 10.1016/j.heliyon.2024.e24727