Article

Addressing climate change skepticism and inaction using human-AI dialogues

2025-07-15

Abstract excerpt

<p>We ask whether facts and evidence - tailored by an AI model to address each person’s specific concerns - can address climate skepticism and inaction. Participants first described their main climate change reservation. The most prevalent were the belief that climate change has natural causes (15%), feeling overwhelmed by the problem (10%), and concerns about the economic consequences of climate policies (8%). Pa...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 08eff370-ac2c-5266-852d-1f09c3613e79
DOI: 10.31234/osf.io/mqcwj_v2

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Addressing climate change skepticism and inaction using human-AI dialoguesDOI 10.31234/osf.io/mqcwj_v2Read

Addressing climate change skepticism and inaction using human-AI dialoguesSemantic proximity Read

Dissecting the persuasiveness of AI writing in climate change articles: Emotion frames, perceived message qualities, and linguistic traitsSemantic proximity Read

How convincing are AI-generated moral arguments for climate action?Semantic proximity Read

Communicating Planetary Health: A Mixed-Methods Study on Trust in Communicators in the Climate and Health DomainsSemantic proximity Read

“Real proof instead of over hyped up bullshit”: Exploring what would change people’s minds about climate change using OpenAI’s GPTSemantic proximity Read

Dialogues with Large Language Models reduce conspiracy beliefs even when the AI is perceived as humanSemantic proximity Read

Conversational AI reduces conspiracy beliefs even when perceived as humanSemantic proximity Read

A conceptual framework for emotion regulation and global climate change solutionsSemantic proximity Read