Using Statistics to Increase Both Hope About Solving Climate Change and Acceptance/Concern About Global Warming
統計を用いて気候変動解決への希望と地球温暖化への受容・懸念を高める (AI 翻訳)
Leela Velautham, Michael Ranney
🤖 gxceed AI 要約
日本語
本研究は、226名の米国人を対象に、太陽光発電や省エネ、肉食削減などの気候変動解決策に関する統計を推定させた後、驚くべき正しい数値をフィードバックする介入を行った。その結果、気候変動への希望と地球温暖化の受容・懸念が統計的に有意に上昇した。この結果は、有効で驚きのある統計情報が気候変動信念を修正できることを示し、希望と解決策をバランスよく伝えるメッセージングの重要性を示唆する。
English
This study conducted an experiment with 226 Americans who estimated statistics on climate solutions (solar, efficiency, reduced meat) and then received surprising numeric feedback. The intervention significantly increased participants' hope about humanity's ability to tackle climate change and their acceptance/concern about global warming. The findings demonstrate that surprising, valid statistics can modify climate change beliefs and suggest that climate messaging should balance danger communication with hopeful solution information.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の気候変動コミュニケーションにおいても、統計情報を用いた希望喚起の手法は有用であり、企業の脱炭素戦略やSSBJ開示への理解促進に応用可能性がある。ただし、本論文は日本固有の文脈ではない。
In the global GX context
Globally, this paper reinforces that effective climate communication should combine risk awareness with hopeful solution statistics to increase public engagement. It provides an evidence-based intervention that can be adapted by policymakers and communicators worldwide to boost climate action support.
👥 読者別の含意
🔬研究者:Provides empirical evidence on the role of surprising statistics in changing climate hope and beliefs, contributing to climate communication research.
🏢実務担当者:Communication teams can use this intervention design to improve climate change messaging by incorporating surprising solution statistics.
🏛政策担当者:Suggests that policy communication should include hopeful solution statistics to increase public acceptance and concern.
📄 Abstract（原文）
Hope is an important emotion for fostering action regarding global warming (GW). This article’s experiment utilizes (a) a cognitive hope theory that combines agency and pathways-thinking and (b) prior (numerically driven inferencing) research on how estimating germane quantities, followed by surprising numeric feedback, impacts one’s beliefs and decision-making. We designed and assessed a short intervention that focally had 226 Americans estimate quantities regarding the impact/uptake of three GW solutions: sustainable (e.g., solar) electrification, energy efficiency (e.g., recycling), or reduced meat consumption. Changes in climate-change hope and GW beliefs represented the intervention’s effectiveness. (Nationalism, etc., were also assessed.) The intervention was generally successful—statistically significantly increasing participants’ (1) hope about humanity’s ability to tackle climate change and (2) GW acceptance/concern. Our results demonstrate climate-change hope’s close relationship with various constructs (particularly, acceptance of GW’s reality)—and that central facts can quickly modify such hope. We further replicated findings that core/surprising statistics can spawn environmental conceptual changes. Our results additionally support earlier-identified phenomena that people revise GW beliefs upon encountering salient, valid, surprising information. The findings (a) increase our laboratory’s (now 12) ways in which brief materials will boost GW acceptance/concern, and (b) imply that GW messaging should balance climate-dangers explications with hopeful solutions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/educsci16060853first seen 2026-06-23 05:22:34
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。