JOURNAL ARTICLE

The Roles of Media Platforms, Political Orientation and Climate Change Belief in Pro-Environmental Behaviors: Cross-Cutting Versus Like-Minded Exposure in the United States and South Korea.

  • Published In: International Journal of Public Opinion Research, 2024, v. 36, n. 4. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Lee, Seo Yoon; Lee, Heejae; Park, Sunho 3 of 3

Abstract

This article examines how information acquisition on YouTube and traditional broadcast news influences climate change beliefs, risk perception, and pro-environmental behaviors, with a focus on the moderating role of political orientation and a cross-national comparison between the United States and South Korea. The study found that in the U.S., conservatives who rely more on broadcast news exhibit stronger beliefs in climate change and greater engagement in pro-environmental behaviors, while YouTube use showed no significant effect on beliefs regardless of political orientation. In South Korea, political orientation did not significantly moderate these relationships, and YouTube use was positively associated with climate change belief, reflecting less politicization of the issue. The findings highlight differences in media effects shaped by the politicization of climate change and suggest broadcast news may incidentally expose U.S. conservatives to climate change information, potentially fostering greater risk perception and environmental action.

Additional Information

  • Source:International Journal of Public Opinion Research. 2024/12, Vol. 36, Issue 4, p1
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2024
  • ISSN:0954-2892
  • DOI:10.1093/ijpor/edae050
  • Accession Number:182369036
  • Copyright Statement:Copyright of International Journal of Public Opinion Research is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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