Master's Thesis
Fact-Checking News with Internet Memes
2025
—Key information
Authors:
Supervisors:
Published in
05/26/2025
Abstract
Technological advances such as the internet and social networks disrupted the news ecosystem by reducing constraints on the dissemination of news, compromising journalistic norms of objectivity and ethics. Traditional fact-checking approaches face scalability and slowness issues, reaching only a fraction of users, and often arriving after peak dissemination. Recent literature suggests emotionally evoking content as a potential avenue for effective changes in people’s beliefs. Given memes’ low cognitive effort, humor load, and virality potential, we investigate their effectiveness as a medium for fact-checking. We developed MemeFact, a Retrieval Augmented Generation system that draws contextual information from the Internet Memes Knowledge Graph to automatically generate fact-checking memes. A user study with 110 participants revealed that memes generated by our MemeFact system, using Claude-3.5-Sonnet, surpass human-created ones in coherence, clarity, and persuasiveness metrics, while falling short significantly in hilarity. Our LLM-as-a-judge approach found weak alignment between AI evaluations and human judgment, with AI models systematically providing significantly more positive ratings. Crucially, a study with 313 participants demonstrated that meme-based explanations reduced backfire effects (39.60% compared to 58.18% for textual explanations) while achieving higher rates of false belief correction (49.50% vs 31.82%). Providing contextual information alongside memes proved critical in enhancing credibility. On X, our meme-based posts for correcting misinformation resulted in 7.56% of users deleting their false content. These findings suggest that memes offer a promising pathway for propagating corrections through social networks by counterbalancing the cognitive affective discomfort of belief challenge while effectively correcting false beliefs.
Publication details
Authors in the community:
Sérgio Pinto
ist193614
Supervisors of this institution:
Daniel Jorge Viegas Gonçalves
ist13898
Fields of Science and Technology (FOS)
electrical-engineering-electronic-engineering-information-engineering - Electrical engineering, electronic engineering, information engineering
Publication language (ISO code)
eng - English
Rights type:
Embargoed access
Date available:
03/29/2026
Institution name
Instituto Superior Técnico