ClimateVisions
Combining social science and computer vision expertise, this project aims to understand which climate change-related images prevail on social media and what kind of reactions and emotions they elicit in debates among social media users.
Source: ClimateTV dataset (Prasse et al., 2023)
![feature image](/climatevisions/images/diagram-project-home_huba87a623d68cf3b9fcc91a9579bcee06_438415_1110x0_resize_lanczos_3.png)
Source: Own visualization
Our research methods
We combine social media research with automated image analyses. Among others we use the following methods:
- Image & Text Classification
- Sentiment Analysis
- Image Manipulation Detection
- Image Clustering
- Text Analysis
![feature image](/climatevisions/images/data_hu819139dbadde44aa5525830ce00ecf0f_16708_437x209_resize_q90_h2_lanczos_3.webp)
Source: Own visualization
Our data
We use social media from X, formely Twitter, for our analyses. To this end, we have downloaded material encompassing:
- All content shared in the years 2019 - 2022.
- English, German, French, Spanish, Arabic, Chinese, and Russian.
- Image, video, text, user reactions, and user replies.
![feature image](/climatevisions/images/tool-box-04_hu9eb33e63a99ee991cd907f6bacffdc56_35239_1110x0_resize_lanczos_3.png)
Source: Own visualization
Our toolbox
We will make the methods we employed easy accessible for other social science research project in creating a toolbox.
- Comprehensive documentation of all methods.
- Enable social sciences to employ automated methods during analyses.
- Open source.
![feature image](/climatevisions/images/Logos%20EU-02_hue76232c693368cadb508b7691e026fcc_143996_1110x0_resize_lanczos_3.png)
The ClimateVisions project is co-financed by the European Union and the Bundesministeriums für Bildung und Forschung (BMBF).