Main Article Content
Abstract
This study examines the influence of media consumption on climate change perceptions and pro-environmental behaviors in the United States, incorporating demographic variations and trust in media as potential mediating and moderating factors. Using a cross-sectional survey of 548 U.S. adults aged 18 to 35, the study employs the Elaboration Likelihood Model (ELM) to assess how different media sources and processing routes shape climate-related engagement. The findings highlighted that despite extensive climate media coverage, behavioral shifts remain limited, highlighting a critical gap in climate communication effectiveness, such as voting based on climate policies or financial contributions to environmental organizations. The findings also reveal that media exposure alone does not drive climate action, demographics and media tr ust fail to enhance engagement, suggesting other factors like ideology or personal experience play a stronger role. These findings challenge prior research that emphasizes media trust and demographic characteristics as key determinants of climate action. The study highlights the limitations of media exposure in translating awareness into meaningful behavioral change and underscores the need for targeted climate communication strategies.
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Copyright (c) 2025 Patrick James

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References
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- Ballew, M. T., Marlon, J. R., Goldberg, M. H., Maibach, E. W., Rosenthal, S. A., Aiken, E., & Leiserowitz, A. (2022). Changing minds about global warming: Vicarious experience predicts self‐reported opinion change in the USA. Climatic Change, 173(19). https://doi.org/10.1007/s10584-022-03397-w
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- Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information technology acceptance: An elaboration likelihood model. MIS Quarterly, 30(4), 805–825. https://www.jstor.org/stable/25148755
- Boykoff, M. T., & Boykoff, J. M. (2004). Balance as bias: Global warming and the US prestige press. Global Environmental Change, 14, 125-136. https://doi.org/10.1016/j.gloenvcha.2003.10.001
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- Chang, Y.-T., Yu, H., & Lu, H.-P. (2015). Persuasive messages, popularity cohesion, and message diffusion in social media marketing. Journal of Business Research, 68(4), 777–782. https://doi.org/10.1016/J.JBUSR ES.2014.11.027
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- Feldman, L., Myers, T. A., Hmielowski, J. D., & Leiserowitz, A. (2014). The mutual reinforcement of media selectivity and effects: Testing the reinforcing spirals framework in the context of global warming. Journal of Communication, 64(4), 590–611. https://doi.org/10.1111/jcom.12108
- Ferdous, S., & Khatun, M. (2020). News coverage on environmental issues: A Study on print media of Bangladesh. IOSR Journal of Humanities and Social Science (IOSR-JHSS), 25(4), 53–59. https://doi.org/10.9790/0837-2504085359
- Greaves, S., Harvey, C., & Kotera, Y. (2023). Exposure to climate change information on affect and pro-environmental behavioural intentions: A randomised controlled trial. Earth, 4(4), 845-858. https://doi.org/10.3390/earth4040045
- Hadler, M., Klösch, B., Reiter-Haas, M., & Lex, E. (2022). Combining survey and social media data: Respondents' opinions on COVID-19 measures and their willingness to provide their social media account information. Frontiers in Sociology, 7:885784. https://doi.org/10.3389/fsoc.2022.885784
- Hansen, A. (2010). Environment, media and communication. Routledge. https://doi.org/10.4324/9780203860014
- Happer, C., & Philo, G. (2016). New approaches to understanding the role of the news media in the formation of public attitudes and behaviours on climate change. European Journal of Communication, 31(2), 136–151. https://doi.org/10.1177/0267323115612213
- Hauer, M., Evans, J., & Mishra, D. (2016). Millions projected to be at risk from sea-level rise in the continental United States. Nature Climate Change, 6, 691–695. https://doi.org/10.1038/nclimate2961
- Hayes, K., Blashki, G., Wiseman, J., Burke, S., & Reifels, L. (2018). Climate change and mental health: Risks, impacts and priority actions. International Journal of Mental Health Systems, 12, 28. https://doi.org/10.1186/s13033-018-0210-6
- Hoegh-Guldberg, O., Mumby, P. J., Hooten, A. J., Steneck, R. S., Greenfield, P., Gomez, E., Harvell, C. D., Sale, P. F., Edwards, A. J., Caldeira, K., Knowlton, N., Eakin, C. M., Iglesias-Prieto, R., Muthiga, N., Bradbury, R. H., Dubi, A., & Hatziolos, M. E. (2007). Coral reefs under rapid climate change and ocean acidification. Science, 318(5857), 1737-1742. https://doi.org/10.1126/science.1152509
- IPCC. (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Retrieved from https://www.ipcc.ch/report/ar5/syr/
- Kleinberg, S., & Toomey, A. H. (2023). The use of qualitative research to better understand public opinions on climate change. Journal of Environmental Studies and Sciences, 13(3), 367–375. https://doi.org/10.1007/s13412-023-00841-w
- Kopp, R. E., DeConto, R. M., Bader, D. A., Hay, C. C., Horton, R. M., Kulp, S., Oppenheimer, M., Pollard, D., & Strauss, B. H. (2017). Evolving understanding of Antarctic ice-sheet physics and ambiguity in probabilistic sea-level projections. Earth's Future, 5(12), 1217-1233. https://doi.org/10.1002/2017EF000663
- Li, C.-R., Zhang, E., & Han, J.-T. (2021). Adoption of online follow-up service by patients: An empirical study based on the elaboration likelihood model. Computers in Human Behavior, 114, 106581. https://doi.org/10.1016/j.chb.2020.106581
- Moradi, M., & Zihagh, F. (2022). A meta-analysis of the elaboration likelihood model in the electronic word of mouth literature. International Journal of Consumer Studies, 46(5), 1900–1918. https://doi.org/10.1111/ijcs.12814
- Moser, S. C., & Ekstrom, J. A. (2010). A framework to diagnose barriers to climate change adaptation. Proceedings of the National Academy of Sciences, 107(51), 22026-22031. https://doi.org/10.1073/pnas.1007887107
- Newman, N., Fletcher, R., Schulz, A., Andi, S., & Nielsen, R. K. (2020). Reuters Institute digital news report 2020. Reuters Institute for the Study of Journalism. https://doi.org/10.60625/risj-048n-ap07
- NOAA. (2020). Record-breaking Atlantic hurricane season draws to an end. Retrieved from https://www.noaa.gov/media-release/record-breaking-atlantic-hurricane-season-draws-to-end
- Olausson, U. (2018). 'Stop blaming the cows!': How livestock production is legitimized in everyday discourse on Facebook. Environmental Communication, 12(1), 28–43. https://doi.org/10.1080/17524032.2017.1406385
- Painter, J. (2016). Journalistic depictions of uncertainty about climate change. In Oxford Research Encyclopedia of Climate Science. Oxford University Press. https://doi.org/10.1093/acrefore/9780190228620.013.346
- Parmesan, C., & Yohe, G. (2003). A globally coherent fingerprint of climate change impacts across natural systems. Nature, 421, 37-42. https://doi.org/10.1038/nature01286
- Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 123–205. https://doi.org/10.1016/S0065-2601(08)60214-2
- Schäfer, M. S. (2012). Online communication on climate change and climate politics: A literature review. Wiley Interdisciplinary Reviews: Climate Change, 3(6), 527-543. https://doi.org/10.1002/wcc.191
- Schäfer, M. S., & Painter, J. (2021). Climate journalism in a changing media ecosystem: Assessing the production of climate change-related news around the world. WIRES Climate Change, 12(1), 1-20. https://doi.org/10.1002/wcc.675
- Schlosberg, D., Collins, L. B., & Niemeyer, S. (2017). Adaptation policy and community discourse: risk, vulnerability, and just transformation. Environmental Politics, 26(3), 413–437. https://doi.org/10.1080/09644016.2017.1287628
- Schuldt, J.P., & Pearson, A.R. (2023). Public recognition of climate change inequities within the United States. Climatic Change, 176(114). https://doi.org/10.1007/s10584-023-03594-1
- Shahab, M. H., Ghazali, E., & Mohtar, M. (2021). The role of elaboration likelihood model in consumer behaviour research and its extension to new technologies: A review and future research agenda. International Journal of Consumer Studies, 45(4), 664–689. https://doi.org/10.1111/ijcs.12658
- Smith, L. J., & Torn, M. S. (2013). Ecological limits to terrestrial biological carbon dioxide removal. Climatic Change, 118, 89–103. https://doi.org/10.1007/s10584-012-0682-3
- Spektor, M., Fasolin, G. N., & Camargo, J. (2023). Climate change beliefs and their correlates in Latin America. Nature Communications, 14(1), 7241. https://doi.org/10.1038/s41467-023-42729-x
- Strauss, N., Painter, J., Ettinger, J., Doutreix, M. N., Wonneberger, A., & Walton, P. (2022). Reporting on the 2019 European Heatwaves and Climate Change: Journalists’ Attitudes, Motivations and Role Perceptions. Journalism Practice, 16(2-3), 462-485. https://doi.org/10.1080/17512786.2021.1969988
- Tsang, S. J. (2023). Communicating climate change: The impact of animated data visualizations on perceptions of journalistic motive and media bias. Journal of Broadcasting & Electronic Media, 67(2), 161-182. https://doi.org/10.1080/08838151.2023.2182788
- Vogels, E. A. (2019). Millennials stand out for their technology use, but older generations also embrace digital life. Pew Research Center. Available online at https://www.pewresearch.org/fact-tank/2019/09/09/us-generations-technology-use/
- Vrselja, I., Pandžić, M., Rihtarić, M. L., & Ojala, M. (2024). Media exposure to climate change information and pro-environmental behavior: The role of climate change risk judgment. BMC Psychology, 12(262). https://doi.org/10.1186/s40359-024-01771-0
- Wagner, P. M., & Lima, V. (2023, November 27). The interests, ideas, and institutions shaping public participation in local climate change governance in Ireland. Local Environment. https://doi.org/10.1080/13549839.2023.2284946
- Wonneberger, A., Meijers, M. H. C., & Schuck, A. R. T. (2020). Shifting public engagement: How media coverage of climate change conferences affects climate change audience segments. Public Understanding of Science, 29(2), 176-193. https://doi.org/10.1177/0963662519886474
References
Ali, S. H., Foreman, J., Capasso, A., Jones, A. M., Tozan, Y., & DiClemente, R. J. (2020). Social media as a recruitment platform for a nationwide online survey of COVID-19 knowledge, beliefs, and practices in the United States: Methodology and feasibility analysis. BMC Medical Research Methodology, 20(116). https://doi.org/10.1186/s12874-020-01011-0
Anderson, M., & Jiang, J. (2018). Teens, social media & technology 2018. Pew Research Center. Available online at https://www.pewresearch.org/internet/2018/05/31/teens-social-media-technology-2018/
Arbuckle, J. G., Jr., Morton, L. W., & Hobbs, J. (2015). Understanding farmer perspectives on climate change adaptation and mitigation: The roles of trust in sources of climate information, climate change beliefs, and perceived risk. Environment and Behavior, 47(2), 205–234. https://doi.org/10.1177/0013916513503832
Auffhammer, M., & Aroonruengsawat, A. (2012). Erratum to: Simulating the impacts of climate change, prices and population on California’s residential electricity consumption. Climatic Change, 113(2), 1101–1104. https://doi.org/10.1007/s10584-012-0519-0
Bacon, W., & Nash, C. (2012). Playing the media game: The relative (in)visibility of coal industry interests in media reporting of coal as a climate change issue in Australia. Journalism Studies, 13(2), 243-258. https://doi.org/10.1080/1461670X.2011.646401
Ballew, M. T., Marlon, J. R., Goldberg, M. H., Maibach, E. W., Rosenthal, S. A., Aiken, E., & Leiserowitz, A. (2022). Changing minds about global warming: Vicarious experience predicts self‐reported opinion change in the USA. Climatic Change, 173(19). https://doi.org/10.1007/s10584-022-03397-w
Beever, E. A., Ray, C., Wilkening, J. L., Brussard, P. F., & Mote, P. W. (2011). Contemporary climate change alters the pace and drivers of extinction. Global Change Biology, 17(6), 2054-2070. https://doi.org/10.1111/j.1365-2486.2010.02389.x
Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information technology acceptance: An elaboration likelihood model. MIS Quarterly, 30(4), 805–825. https://www.jstor.org/stable/25148755
Boykoff, M. T., & Boykoff, J. M. (2004). Balance as bias: Global warming and the US prestige press. Global Environmental Change, 14, 125-136. https://doi.org/10.1016/j.gloenvcha.2003.10.001
Boykoff, M., Church, P., Katzung, J., Nacu-Schmidt, A., & Pearman, O. (2021). A review of media coverage of climate change and global warming in 2020. Media and Climate Change Observatory. Cooperative Institute for Research in Environmental Sciences, University of Colorado. https://doi.org/10.25810/2nc9-bj43
Brewer, P. R., & Ley, B. L. (2013). Whose science do you believe? Explaining trust in sources of scientific information about the environment. Science Communication, 35(1), 115–137. https://doi.org/10.1177/1075547012441691
CalFire. (2020). 2020 Incident Archive. Retrieved from https://www.fire.ca.gov/incidents/2020/
Carrington, D. (2018, July 27). Extreme global weather is 'the face of climate change' says leading scientist. The Guardian. Available online at https://www.theguardian.com/environment/2018/jul/27/extreme-global-weather-climate-change-michael-mann
Chang, Y.-T., Yu, H., & Lu, H.-P. (2015). Persuasive messages, popularity cohesion, and message diffusion in social media marketing. Journal of Business Research, 68(4), 777–782. https://doi.org/10.1016/J.JBUSR ES.2014.11.027
Ebi, K. L., Balbus, J. M., Luber, G., Bole, A., Crimmins, A., Glass, G., Saha, S., Shimamoto, M. M., Trtanj, J., & White-Newsome, J. L. (2018). Impacts, risks, and adaptation in the United States: Fourth National Climate Assessment. U.S. Global Change Research Program, 2, 572–603. https://doi.org/10.7930/NCA4.2018.CH14
Ejaz, W., Altay, S., Fletcher, R., & Nielsen, R. K. (2024). Trust is key: Determinants of false beliefs about climate change in eight countries. New Media & Society, 1–20. https://doi.org/10.1177/14614448241250302
Feldman, L., Myers, T. A., Hmielowski, J. D., & Leiserowitz, A. (2014). The mutual reinforcement of media selectivity and effects: Testing the reinforcing spirals framework in the context of global warming. Journal of Communication, 64(4), 590–611. https://doi.org/10.1111/jcom.12108
Ferdous, S., & Khatun, M. (2020). News coverage on environmental issues: A Study on print media of Bangladesh. IOSR Journal of Humanities and Social Science (IOSR-JHSS), 25(4), 53–59. https://doi.org/10.9790/0837-2504085359
Greaves, S., Harvey, C., & Kotera, Y. (2023). Exposure to climate change information on affect and pro-environmental behavioural intentions: A randomised controlled trial. Earth, 4(4), 845-858. https://doi.org/10.3390/earth4040045
Hadler, M., Klösch, B., Reiter-Haas, M., & Lex, E. (2022). Combining survey and social media data: Respondents' opinions on COVID-19 measures and their willingness to provide their social media account information. Frontiers in Sociology, 7:885784. https://doi.org/10.3389/fsoc.2022.885784
Hansen, A. (2010). Environment, media and communication. Routledge. https://doi.org/10.4324/9780203860014
Happer, C., & Philo, G. (2016). New approaches to understanding the role of the news media in the formation of public attitudes and behaviours on climate change. European Journal of Communication, 31(2), 136–151. https://doi.org/10.1177/0267323115612213
Hauer, M., Evans, J., & Mishra, D. (2016). Millions projected to be at risk from sea-level rise in the continental United States. Nature Climate Change, 6, 691–695. https://doi.org/10.1038/nclimate2961
Hayes, K., Blashki, G., Wiseman, J., Burke, S., & Reifels, L. (2018). Climate change and mental health: Risks, impacts and priority actions. International Journal of Mental Health Systems, 12, 28. https://doi.org/10.1186/s13033-018-0210-6
Hoegh-Guldberg, O., Mumby, P. J., Hooten, A. J., Steneck, R. S., Greenfield, P., Gomez, E., Harvell, C. D., Sale, P. F., Edwards, A. J., Caldeira, K., Knowlton, N., Eakin, C. M., Iglesias-Prieto, R., Muthiga, N., Bradbury, R. H., Dubi, A., & Hatziolos, M. E. (2007). Coral reefs under rapid climate change and ocean acidification. Science, 318(5857), 1737-1742. https://doi.org/10.1126/science.1152509
IPCC. (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Retrieved from https://www.ipcc.ch/report/ar5/syr/
Kleinberg, S., & Toomey, A. H. (2023). The use of qualitative research to better understand public opinions on climate change. Journal of Environmental Studies and Sciences, 13(3), 367–375. https://doi.org/10.1007/s13412-023-00841-w
Kopp, R. E., DeConto, R. M., Bader, D. A., Hay, C. C., Horton, R. M., Kulp, S., Oppenheimer, M., Pollard, D., & Strauss, B. H. (2017). Evolving understanding of Antarctic ice-sheet physics and ambiguity in probabilistic sea-level projections. Earth's Future, 5(12), 1217-1233. https://doi.org/10.1002/2017EF000663
Li, C.-R., Zhang, E., & Han, J.-T. (2021). Adoption of online follow-up service by patients: An empirical study based on the elaboration likelihood model. Computers in Human Behavior, 114, 106581. https://doi.org/10.1016/j.chb.2020.106581
Moradi, M., & Zihagh, F. (2022). A meta-analysis of the elaboration likelihood model in the electronic word of mouth literature. International Journal of Consumer Studies, 46(5), 1900–1918. https://doi.org/10.1111/ijcs.12814
Moser, S. C., & Ekstrom, J. A. (2010). A framework to diagnose barriers to climate change adaptation. Proceedings of the National Academy of Sciences, 107(51), 22026-22031. https://doi.org/10.1073/pnas.1007887107
Newman, N., Fletcher, R., Schulz, A., Andi, S., & Nielsen, R. K. (2020). Reuters Institute digital news report 2020. Reuters Institute for the Study of Journalism. https://doi.org/10.60625/risj-048n-ap07
NOAA. (2020). Record-breaking Atlantic hurricane season draws to an end. Retrieved from https://www.noaa.gov/media-release/record-breaking-atlantic-hurricane-season-draws-to-end
Olausson, U. (2018). 'Stop blaming the cows!': How livestock production is legitimized in everyday discourse on Facebook. Environmental Communication, 12(1), 28–43. https://doi.org/10.1080/17524032.2017.1406385
Painter, J. (2016). Journalistic depictions of uncertainty about climate change. In Oxford Research Encyclopedia of Climate Science. Oxford University Press. https://doi.org/10.1093/acrefore/9780190228620.013.346
Parmesan, C., & Yohe, G. (2003). A globally coherent fingerprint of climate change impacts across natural systems. Nature, 421, 37-42. https://doi.org/10.1038/nature01286
Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 123–205. https://doi.org/10.1016/S0065-2601(08)60214-2
Schäfer, M. S. (2012). Online communication on climate change and climate politics: A literature review. Wiley Interdisciplinary Reviews: Climate Change, 3(6), 527-543. https://doi.org/10.1002/wcc.191
Schäfer, M. S., & Painter, J. (2021). Climate journalism in a changing media ecosystem: Assessing the production of climate change-related news around the world. WIRES Climate Change, 12(1), 1-20. https://doi.org/10.1002/wcc.675
Schlosberg, D., Collins, L. B., & Niemeyer, S. (2017). Adaptation policy and community discourse: risk, vulnerability, and just transformation. Environmental Politics, 26(3), 413–437. https://doi.org/10.1080/09644016.2017.1287628
Schuldt, J.P., & Pearson, A.R. (2023). Public recognition of climate change inequities within the United States. Climatic Change, 176(114). https://doi.org/10.1007/s10584-023-03594-1
Shahab, M. H., Ghazali, E., & Mohtar, M. (2021). The role of elaboration likelihood model in consumer behaviour research and its extension to new technologies: A review and future research agenda. International Journal of Consumer Studies, 45(4), 664–689. https://doi.org/10.1111/ijcs.12658
Smith, L. J., & Torn, M. S. (2013). Ecological limits to terrestrial biological carbon dioxide removal. Climatic Change, 118, 89–103. https://doi.org/10.1007/s10584-012-0682-3
Spektor, M., Fasolin, G. N., & Camargo, J. (2023). Climate change beliefs and their correlates in Latin America. Nature Communications, 14(1), 7241. https://doi.org/10.1038/s41467-023-42729-x
Strauss, N., Painter, J., Ettinger, J., Doutreix, M. N., Wonneberger, A., & Walton, P. (2022). Reporting on the 2019 European Heatwaves and Climate Change: Journalists’ Attitudes, Motivations and Role Perceptions. Journalism Practice, 16(2-3), 462-485. https://doi.org/10.1080/17512786.2021.1969988
Tsang, S. J. (2023). Communicating climate change: The impact of animated data visualizations on perceptions of journalistic motive and media bias. Journal of Broadcasting & Electronic Media, 67(2), 161-182. https://doi.org/10.1080/08838151.2023.2182788
Vogels, E. A. (2019). Millennials stand out for their technology use, but older generations also embrace digital life. Pew Research Center. Available online at https://www.pewresearch.org/fact-tank/2019/09/09/us-generations-technology-use/
Vrselja, I., Pandžić, M., Rihtarić, M. L., & Ojala, M. (2024). Media exposure to climate change information and pro-environmental behavior: The role of climate change risk judgment. BMC Psychology, 12(262). https://doi.org/10.1186/s40359-024-01771-0
Wagner, P. M., & Lima, V. (2023, November 27). The interests, ideas, and institutions shaping public participation in local climate change governance in Ireland. Local Environment. https://doi.org/10.1080/13549839.2023.2284946
Wonneberger, A., Meijers, M. H. C., & Schuck, A. R. T. (2020). Shifting public engagement: How media coverage of climate change conferences affects climate change audience segments. Public Understanding of Science, 29(2), 176-193. https://doi.org/10.1177/0963662519886474