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<p>Misinformation about electric vehicles (EVs) poses significant challenges to the global transition to energy efficient transportation. We investigated the prevalence of misinformation about EVs, predictors of misinformation endorsement and two potential interventions for reducing its impact. Surveys across four countries (Studies 1 and 2, <i>N</i> = 6,341) revealed that more respondents agreed with misinformation statements about EVs than disagreed with them. Conspiracy mentality emerged as the strongest predictor of such beliefs, whereas education played no role. In Study 3 (<i>N</i> = 1,500) we tested two interventions—a fact sheet and dialogues with artificial intelligence (ChatGPT)—for reducing belief in misinformation and increasing pro-EV policy support and purchase intentions. Both strategies showed modest effectiveness immediately post-intervention, and positive effects on misinformation beliefs remained significant at a 10-day follow-up. Our results highlight the prevalence of EV misinformation, the role of mistrust in shaping it and the potential for conventional and novel informational strategies to reduce it.</p>

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Mapping, understanding and reducing belief in misinformation about electric vehicles

  • 期刊论文

  • 发表日期：

    2025年6月9日

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  • Christian Bretter,
  • Samuel Pearson,
  • Matthew J. Hornsey,
  • Sarah MacInnes,
  • Kai Sassenberg,
  • Belinda Wade,
  • Kevin Winter

摘要

Misinformation about electric vehicles (EVs) poses significant challenges to the global transition to energy efficient transportation. We investigated the prevalence of misinformation about EVs, predictors of misinformation endorsement and two potential interventions for reducing its impact. Surveys across four countries (Studies 1 and 2, N = 6,341) revealed that more respondents agreed with misinformation statements about EVs than disagreed with them. Conspiracy mentality emerged as the strongest predictor of such beliefs, whereas education played no role. In Study 3 (N = 1,500) we tested two interventions—a fact sheet and dialogues with artificial intelligence (ChatGPT)—for reducing belief in misinformation and increasing pro-EV policy support and purchase intentions. Both strategies showed modest effectiveness immediately post-intervention, and positive effects on misinformation beliefs remained significant at a 10-day follow-up. Our results highlight the prevalence of EV misinformation, the role of mistrust in shaping it and the potential for conventional and novel informational strategies to reduce it.