Exoskeleton for the Mind: Exploring Strategies Against Misinformation with a Metacognitive Agent
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Abstract (arXiv)
Misinformation is a global problem in modern social media platforms with few solutions known to be effective. Social media platforms have offered tools to raise awareness of information, but these are closed systems that have not been empirically evaluated. Others have developed novel tools and strategies, but most have been studied out of context using static stimuli, researcher prompts, or low fidelity prototypes. We offer a new anti-misinformation agent grounded in theories of metacognition that was evaluated within Twitter. We report on a pilot study (n=17) and multi-part experimental study (n=57, n=49) where participants experienced three versions of the agent, each deploying a different strategy. We found that no single strategy was superior over the control. We also confirmed the necessity of transparency and clarity about the agent's underlying logic, as well as concerns about repeated exposure to misinformation and lack of user engagement.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 4 of its 55 references that are in the map. First posted on arXiv 18 Apr 2023.
Builds on
4 of 55 references.
References · 4
- 2018Trends in the Diffusion of Misinformation on Social Mediacited by 25
- 2020Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checkingcited by 15
- 2020Encounters with Visual Misinformation and Labels Across Platforms: An Interview and Diary Study to Inform Ecosystem Approaches to Misinformation Interventionscited by 6
- 2021Misinformation Warning Labels: Twitter's Soft Moderation Effects on COVID-19 Vaccine Belief Echoescited by 3
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Citing papers per year: 2023: 1; 2024: 0; 2025: 1.
2 papers.