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Volume 2 Issue 4, Oct-Dec 2024

The Global Fact-Checking Ecosystem: Organizational Models, Effectiveness Evidence, and Sustainability Challenges in Combating Digital Misinformation

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Author: Aryan Manna, Aarzoo, Dr. Sundeep Katevarapu Abstract Background: The global fact-checking ecosystem has expanded from 44 organizations in 2014 to over 400 by 2024, yet confronts fundamental challenges to both effectiveness and sustainability. Generative AI has dramatically widened the production asymmetry between misinformation generation and human verification capacity. The continued influence effect documented by […]

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Deepfake Detection and Trust Reconstruction in Digital News Ecosystems: A Mixed-Methods Investigation of Verification Frameworks and Credibility Restoration

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Author: Raunak Sharma, Dr. Sundeep Katevarapu, Aarzoo Abstract Background: The proliferation of AI-generated synthetic media has created an unprecedented challenge to information authenticity and public trust. Somoray et al. (2025) found human deepfake detection accuracy averages 55.54 percent, not above chance, in a meta-analysis of 56 studies with 86,155 participants. A 2025 scoping review documented

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Automation, Labor Displacement, and the Future of Journalism Work: A Mixed-Methods Analysis of Artificial Intelligence’s Impact on the Journalistic Workforce Across Twelve Countries

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Author: Madhav Menon, Dr. Sundeep Katevarapu, Aarzoo Abstract Background: The impact of artificial intelligence on employment represents one of the most consequential economic and social questions of the twenty-first century, and in journalism this question carries particular democratic significance because the journalistic workforce produces the public interest information upon which democratic governance depends. The United

Automation, Labor Displacement, and the Future of Journalism Work: A Mixed-Methods Analysis of Artificial Intelligence’s Impact on the Journalistic Workforce Across Twelve Countries Read More »

Ethical Governance of Artificial Intelligence in Journalism: Accountability Frameworks, Transparency Standards, and the Preservation of Democratic Press Functions

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Author: Ishika Rawal, Prof. (Dr.) Ruhi Lal, Dr. Sundeep Katevarapu Abstract Background: The rapid integration of artificial intelligence into journalism has created a governance vacuum that threatens the ethical foundations of democratic press practice. While technology companies develop AI tools with increasing sophistication and newsrooms adopt them with growing urgency driven by economic pressure and

Ethical Governance of Artificial Intelligence in Journalism: Accountability Frameworks, Transparency Standards, and the Preservation of Democratic Press Functions Read More »

Artificial Intelligence and the Transformation of News Production: An Empirical Investigation of Human-AI Collaboration in Contemporary Newsrooms

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Author:Dr. Ruhi Lal, Dr. Sundeep Katevarapu Abstract Background: The integration of artificial intelligence into journalism represents one of the most consequential technological transformations in the history of news media. From algorithmic content generation and automated fact-checking to AI-assisted investigative research and predictive audience analytics, AI systems are increasingly embedded within every stage of the journalistic

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