AI and Cybersecurity in Investigative Journalism: A Literature Review

Abstract

This literature review examines the intersection of artificial intelligence (AI) and cybersecurity in the context of investigative journalism. The use of AI technologies in investigative journalism has revolutionized the way journalists analyze data and uncover stories, while also posing new challenges in cybersecurity and the detection of deepfakes. The academic literature highlights the importance of training journalists in cybersecurity best practices, investing in AI technologies, and detecting and debunking deepfakes to safeguard the integrity of journalistic work. By integrating AI and cybersecurity measures into newsrooms, journalists can better protect themselves against cyber threats and combat misinformation, ensuring the continued relevance and credibility of journalism in the digital age. Keywords: Artificial Intelligence, Cybersecurity, Investigative Journalism, Deepfakes, Data Analysis, Misinformation, News Organizations, Cyber Threats, Journalism Integrity. Journal Reference Format: Ademola, O.E. & Somorin, K. (2024): AI and Cybersecurity in Investigative Journalism: A Literature Review. Social Informatics, Business, Politics, L:aw, Environmental Sciences & Technology Journal. Vol. 10, No. 1. Pp 9-16. www.isteams/socialinformaticsjournal. dx.doi.org/10.22624/AIMS/SIJ/V10N1P3