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Women in the midst: an intersectionality study of Canadian climate change, poverty and health media reporting
Authors:
Yaa Serwaa-Akoto Amoah, Leanne M. Lacap, Emily J. Tetzlaff, Mariya Bezgrebelna, Amber J. Fletcher, Lyrique Richards, Zuhal Ahmadi, Glen P. Kenny, Mariam Farooq, Jolly Noor & Sean A. Kidd
Year of publication:
2025
Journal:
Regional Environmental Change
Keywords:
Climate change, poverty, health, women, intersectionality, newspapers
Abstract
Intersectionality is regarded as a valuable analytical tool for understanding the complexities of environmental injustices. With less than a year to meet the decade milestone of the Sustainable Development Goals, there is limited understanding of the intersecting effects of climate change and poverty on women’s health, although studies have shown that women are disproportionately affected by these issues. This study applied an intersectionality lens with a qualitative content analysis to assess the media reporting on climate change, poverty and women’s health in the Canadian print media between September 1, 2015, to September 1, 2024. Articles (n = 69) were analyzed using a coding framework which combined the basic framework for data gathering in journalism (who, when, where, what, how), and the voice, diagnostic and prognostic elements of the Critical Frame Analysis Framework. Within the print media, the problems were framed as reflections of the social inequities women face, issues of government neglect, agency issues and warnings. Solutions were framed as government-level, community-level and individual-level interventions. The results also revealed the inconsistencies in reporting on the intersectionality of the issues, with the highest number of reports coinciding with notable climatic events. By highlighting the linkages between climate change, social equity and gender, this study underscores the need for an intersectionality lens in media reporting and academic research to present a more holistic picture of the impacts of climate change on women and other populations affected by climate change.