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Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses
Published on: September 28, 2018
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Durably reducing conspiracy beliefs through dialogues with AI
Thomas H Costello1,2, Gordon Pennycook3, David G Rand1
1Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA.
Science (New York, N.Y.)
|September 12, 2024
Summary
Personalized dialogues using generative AI significantly reduced conspiracy beliefs by 20%. This effect persisted for two months and generalized to other conspiracy theories, showing evidence-based interventions can be effective.
Area of Science:
- Psychology
- Artificial Intelligence
- Social Science
Background:
- Conspiracy beliefs are persistent, often fulfilling psychological needs and resisting counterevidence.
- Previous attempts to correct these beliefs have been limited by insufficiently compelling or tailored evidence.
Purpose of the Study:
- To evaluate if personalized, evidence-based dialogues powered by generative AI can effectively reduce conspiracy beliefs.
- To assess the durability and generalizability of such interventions.
Main Methods:
- Engaged 2190 individuals identified as conspiracy believers in personalized dialogues using GPT-4 Turbo.
- Focused dialogues on specific conspiracy theories to provide tailored, compelling counterevidence.
Main Results:
- A significant reduction of approximately 20% in conspiracy belief was observed post-intervention.
- The reduction in belief persisted for two months and generalized across various conspiracy theories.
- Intervention also impacted unrelated conspiracy beliefs and shifted behavioral intentions.
Conclusions:
- Generative AI-powered, personalized evidence-based dialogues can effectively reduce conspiracy beliefs.
- Compelling and tailored evidence is crucial for revising entrenched conspiracy theories.
- These findings highlight a promising avenue for addressing misinformation and conspiracy ideation.
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