Culturally adaptive ai videos reduce women health misinformation beliefs
Durably Reducing Belief in Women's Health Misinformation Through Culturally Adaptive AI Videos
Human-Computer Interaction
Summary
Health misinformation harms women more, especially when tied to community beliefs. The authors tested videos made by AI where the presenter looks like the local community to help reduce false beliefs among women in suburban India. They found these tailored videos cut wrong beliefs by 30%, almost double the effect of generic videos, and this effect lasted for weeks. The biggest improvements were on beliefs deeply connected to social blame, not on basic medical facts.
What this means in practice
- •For health communication teams: Use AI-generated videos featuring culturally matched presenters to reduce health misinformation in low-literacy communities by increasing trust and recall.
- •For public health campaign planners: Design culturally adaptive video content specifically targeting socially embedded health myths to improve belief correction durability in women’s health programs.
Authors
Anku Rani, Kokil Jaidka, Shruti Sharma, Pragya Mahajan, Manisha Wadhwa, Andrew B. Lippman, Pattie Maes, Paul Pu Liang
Abstract
Health misinformation disproportionately harms women, yet interventions rarely address the community norms that sustain false beliefs. We test whether culturally adaptive AI-generated video in which the presenter looks like someone from her community reduces misinformation belief among low-literacy women in suburban India. In a field experiment (N=434), participants watched an AI-generated video featuring either an adaptive or neutral presenter. The culturally adaptive presenter reduced misinformation belief by 30%, nearly twice the reduction produced by the neutral presenter compared to the non-intervention control condition. Post-experiment interviews suggest women recalled the neutral condition as a generic video but recognized the adaptive presenter. Gains persisted for three weeks. The adaptive advantage was largest for beliefs reinforced by community, such as blaming women for infertility, and negligible for medical knowledge gaps, such as understanding vaccines. These findings demonstrate the potential of culturally adaptive AI interventions to counter socially embedded health misinformation.