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C3DS Seminar Explores Visual Framing of Climate Change Imagery on Twitter

C3DS Seminar Explores Visual Framing of Climate Change Imagery on Twitter

The Centre for Climate Communication and Data Science (C3DS) hosted a seminar on June 26th, 2024, featuring Isaac Bravo from the Technical University of Munich, Germany. Bravo presented his research on the “Visual Framing of Climate Change Imagery on Twitter.”  

The hybrid seminar was held both in person at the University of Exeter’s Streatham Campus and online via Zoom.  

Bravo’s research delves into how the framing of climate change imagery on social media platforms like Twitter influences people’s emotional engagement with the issue. His work also explores how this engagement varies across different regions of the world, where the impacts of climate change are experienced and expressed differently.   Traditional research in this area has often focused on a limited selection of iconic climate change images, primarily using qualitative methods and data from Western countries. Bravo’s study takes a novel computational approach, combining framing theory with automated image and text analysis to analyze millions of images, tweets, and user responses shared on Twitter between 2019 and 2022.   Data collection for the study involved using the search term “climate change/#climatechange” in English, Spanish, German, French, Arabic, Chinese, and Russian. The research team utilized the Contrastive Language-Image Pre-Training model to analyze and classify images, and employed various text analysis techniques to examine people’s emotions in tweet texts and comments.  

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CCVision Network Meeting at C3DS in Exeter

CCVision Network Meeting at C3DS in Exeter

It was great to discuss climate change from various perspective with a network of like-minded scholars. Thank you to the organizers (Claire Banwell) and all attendees for the inspiring discussions! We are looking forward to next year. Photo credits to Veronica White.

Katharina Prasse gave a talk on the opportunities and pitfalls of working with foundation models.

Presentation Slides:

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