Bridging ideologies: analyzing the use of moral language and framing in social media discourse on climate change by U.S. congress members through computational approaches

Abstract The discourse on climate change transcends scientific discussions and policy debates, often incorporating moral language and ethical considerations. This study explores framing strategies in political persuasion and the underlying moral foundations associated with climate change by combining computational methods and critical discourse analysis of tweets from 111th-117th U.S. Congresses members. The aim is to map out the bipartisan trends in the use of moral language and framing concerning climate change issues, thereby enriching the understanding of public opinion dynamics and the evolving partisan divide on climate action. Our findings reveal an intensifying partisan polarization in framing. Contrary to the expected moral divide, we uncover a bipartisan agreement on the moral foundation of care and fairness, and a consistent cross-party employment of moral language associated with frames over time. The interplay between generic frames and moral foundations suggests the potential for collective action on climate change across the political spectrum.

Authors

Institutions

Publication Details

Journal
Climatic Change
Published
2025-03-01
DOI
https://doi.org/10.1007/s10584-025-03898-4
Citations
4
Primary Topic
Climate Change Communication and Perception
Type
article
Field-Weighted Citation Impact
16.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bridging ideologies: analyzing the use of moral language and framing in social media discourse on climate change by U.S. congress members through computational approaches

Yin Zhang, Sheng Zou, Yunya Song, Jonathon P. Schuldt et al.
4 citations
Climatic Change
Climate Change Communication and Perception
16.81
article

Bridging ideologies: analyzing the use of moral language and framing in social media discourse on climate change by U.S. congress members through computational approaches

Yin Zhang, Sheng Zou, Yunya Song, Jonathon P. Schuldt, Jun Li, Ziwei Wang, Y. Connie Yuan
article en
4 citations

Abstract

Abstract The discourse on climate change transcends scientific discussions and policy debates, often incorporating moral language and ethical considerations. This study explores framing strategies in political persuasion and the underlying moral foundations associated with climate change by combining computational methods and critical discourse analysis of tweets from 111th-117th U.S. Congresses members. The aim is to map out the bipartisan trends in the use of moral language and framing concerning climate change issues, thereby enriching the understanding of public opinion dynamics and the evolving partisan divide on climate action. Our findings reveal an intensifying partisan polarization in framing. Contrary to the expected moral divide, we uncover a bipartisan agreement on the moral foundation of care and fairness, and a consistent cross-party employment of moral language associated with frames over time. The interplay between generic frames and moral foundations suggests the potential for collective action on climate change across the political spectrum.

Climatic ChangeVol. 178(3)
Hong Kong Baptist University (HK), Hong Kong University of Science and Technology (HK), Cornell University (US), Fudan University (CN)
Hong Kong Baptist University
Openalex Percentile: Top 1%
Climate Change Communication and Perception
16.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Bridging ideologies: analyzing the use of moral language and framing in social media discourse on climate change by U.S. congress members through computational approaches — Yin Zhang, Sheng Zou, et al. · Climatic Change (2025) | TGRS Research Map | TGRS