How climate movement actors and news media frame climate change and strike: evidence from analyzing Twitter and news media discourse from 2018 to 2021

Author
Boulianne, Shelley
Faculty Advisor
Date
2022
Keywords
climate strike , news reporting , Twitter , protest targets
Abstract (summary)
Twitter enables an online public sphere for social movement actors, news organizations, and others to frame climate change and the climate movement. In this paper, we analyze five million English tweets posted from 2018 to 2021 demonstrating how peaks in Twitter activity relate to key events and how the framing of the climate strike discourse has evolved over the past three years. We also collected over 30,000 news articles from major news sources in English-speaking countries (Australia, Canada, United States, United Kingdom) to demonstrate how climate movement actors and media differ in their framing of this issue, attention to policy solutions, attribution of blame, and efforts to mobilize citizens to act on this issue. News outlets tend to report on global politicians’ (in)action toward climate policy, the consequences of climate change, and industry's response to the climate crisis. Differently, climate movement actors on Twitter advocate for political actions and policy changes as well as addressing the social justice issues surrounding climate change. We also revealed that conversations around the climate movement on Twitter are highly politicized, with a substantial number of tweets targeting politicians, partisans, and country actors. These findings contribute to our understanding of how people use social media to frame political issues and collective action, in comparison to the traditional mainstream news outlets.
Publication Information
Chen, K., Molder, A. L., Duan, Z., Boulianne, S., Eckart, C., Mallari, P., & Yang, D. (2022). How climate movement actors and news media frame climate change and strike: evidence from analyzing Twitter and news media discourse from 2018 to 2021. The International Journal of Press/Politics. https://doi.org/10.1177/19401612221106405
DOI
Notes
Item Type
Article
Language
English
Rights
Attribution-NonCommercial (CC BY-NC)