The promise and limitations of using GenAI to reduce climate scepticism
摘要
Large language models (LLMs) can support climate literacy by offering accessible, multilingual and personalized climate information. However, the effectiveness of these new communication tools remains unexplored. Here we conducted two studies to examine whether dialogues with LLMs can effectively reduce climate scepticism. In study 1 (n = 949), climate sceptics who engaged in short conversations with ChatGPT showed small but significant increases in pro-environmental action intentions and decreased confidence in their initial sceptical views. In study 2 (n = 333), similar effects were observed and extended to modest reductions in climate scepticism and policy support. It is noteworthy that the effects on reducing scepticism among sceptics are inconsistent across two studies and susceptible to decay over time. Increasing the conversation length from three to six rounds yielded no additional benefit. These mixed findings underscore the need for cautious, evidence-based integration of LLMs into climate communication strategies.