Social Media Semantics: Enhancing Manipulated Media Detection Through An Artificial Intelligence Weakness
Regina M. Luttrell, Jason Davis, Carrie Welch
Syracuse University
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摘要与影响
As fake news and disinformation continue to proliferate in digital journalism, the development of artificial intelligence (AI) analytics to identify synthetic content inconsistencies is increasingly important. This study explores trained AI analytics’ struggle to detect semantic gaps within AI-generated media. Findings reinforce human semantic capabilities and a direction for detection tools. AI analytics designed for semantic detection-related tasks are evaluated through the application of the Theory of Content Consistency, with insights for combatting social media news truth erosion.
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学术脉络
学科主题
社会科学Misinformation and Its Impacts
Hate Speech and Cyberbullying Detection · Sentiment Analysis and Opinion Mining
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