Disinformation from Above: An NLP-Based Analysis of Sentiment and Narrative Strategies in Drone-Aided Disinformation Campaigns

This study employs natural language processing (NLP) techniques to analyze how drone-related disinformation influences emotional framing and narrative structures. Based on 116 fact-checking cases, the results indicated that fear is the predominant emotion, followed by anger as a secondary emotion, while other emotions occur only sporadically. Most texts appear neutral or informational on the surface, but their details reveal hidden threats and signals of risk. Consequently, a two-layer strategy of "surface neutrality and deep manipulation" has been developed. This study suggests an initial direction for observation that can help clarify the implications of drone disinformation in media literacy, policy practice, and information warfare research.