Convergence of Media Flows: Challenges to Journalism in the Verification of Synthetic Video Content
Convergence of Media Flows: Challenges to Journalism in the Verification of Synthetic Video Content

Author(s): Desislava Sotirova
Subject(s): Social Sciences, Media studies, Communication studies
Published by: Факултет по журналистика и масова комуникация, Софийски университет „Св. Кл. Охридски”
Keywords: AI; verification; synthetic content; journalism; trust
Summary/Abstract: This paper examines the transformative shifts in journalism driven by the widespread integration of GenAI in modern media. The digital convergence requires new, effective solutions for the verification process of facts, images, and especially videos. The rise of sophisticated deepfake videos complicates the gatekeeping role of journalists. Increasingly, first-hand information and the personalization of both the journalist and the media outlet remain pivotal for audience trust. By analyzing current limitations of existing detection tools for deepfakes, this study explores how newsrooms should adapt their workflows to preserve public trust. This paper explains how deepfake videos could be exposed through a combination of metadata and visual clues. It offers a practical framework for newsrooms to implement tools for technical proof.

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