ORCID
Regina Luttrell: 0000-0003-2328-7414 | Jason Davis: 0000-0002-0265-2219 | Carrie Welch: 0009-0000-8339-4225
Document Type
Article
Date
2025
Keywords
Artificial intelligence; Attribution; Journalism; Misinformation; Disinformation
Language
english
Disciplines
Film and Media Studies
Description/Abstract
Continued access to genuine, verified news is important in providing news audiences with information about events of social importance. Sophisticated methods of detection and attribution must be applied to counter the proliferation of AI-generated mis- and disinformation and uphold journalistic values. This study examines the complexities of transparency in journalism and AI in relation to source attribution. While various AI analytics claim performance capabilities on specific tasks related to media detection, there remains a need for a standard evaluative framework that can comparatively measure the success of these various analytics. This paper explores how the Theory of Content Consistency (ToCC) can be leveraged as a framework to facilitate validation of AI analytics attempting to detect misattributed and manipulated media.
Recommended Citation
Regina Luttrell et al., Telecommunications Policy, https://doi.org/10.1016/j.telpol.2025.103053
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
