KLIMA-MEMES
The Impact of Humorous Communication on Political Decision-Making in the Climate Change Context
The research project KLIMA-MEMES at the LMU Munich explores the question of what influence humorous-intended memes texts, images, and videos – shared online on platforms such as Instagram and TikTok – have on political decision-making. As part of the project, we collect data from various social media platforms during the UN World Climate Conferences 2023 (COP28) and 2024 (COP29) to analyze the content using manual and automated methods.
The interdisciplinary consortium project brings together researchers from the fields of Computational Communication Science, Computational Linguistics, and Computer Vision.
RECent News And Events
June 17, 2025 | New Paper on Climate Communication in the Hybrid Media System
New publication from the project published in Media and Communication. Research from the KLIMA-MEMES project has been published in a special issue on Journalism in the Hybrid Media System.
June 16, 2025 | Talks at ICA Conference 2025 in Denver
Simon Lübke attended the Annual Conference of the International Communication Association (ICA) in Denver. He presented a comparative study on different stakeholders‘ climate communication as well as the strategies of right-wing populist parties’social media strategies.
June 15, 2025 | Poster at CVPR 2025 in Nashville
Johannes Schusterbauer attended the IEEE/CVF Conference on Computer Vision and Pattern Recognition in Nashville. He presented research from the Computer Vision working group on a new framework for transfering knowledge from diffusion models to flow matching.
June 10, 2025 | Workshop Media & Climate Change in Boulder
Simon Lübke participated in a workshop hosted at the Colorado University in Boulder on Media & Climate Change. The workshop brought together researchers from communication science to discuss approaches to study climate communication.
For an overview of all project news and events, please click on the following link:
The KLIMA-MEMES project is funded by the Bavarian Research Institute for Digital Transformation.
