@inproceedings{10714267,

title = {Visual Analytics - Climate Change in Social Media},

author = {Vanessa Kokoschka and Cristian A. Secco and Kawa Nazemi},

doi = {10.1109/IV64223.2024.00037},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {2024 28th International Conference Information Visualisation (IV)},

pages = {167-173},

abstract = {Climate change is one of the greatest challenges of our time and affects all areas of our society. Climate science is a complex field and the majority of the public does not experience the effects of climate change directly but through media. Social media platforms are among the most important communication channels: millions of people exchange information and interact with content on these platforms every day. For this reason, knowledge about the development of climate communication is relevant for various disciplines, but especially for communication sciences. How social media users interact with content on climate change and what content they consume is important for adapting communication strategies. This enables communicators such as journalists to respond appropriately to user interests and align their content. We contribute with a novel approach to portray climate change behavior of social media, transformer-based speech extraction from web video, transformer-based information extraction and trend analysis, and an interactive visual interface showing topic-specific data and trends.},

keywords = {Climate change;Visual analytics;Social networking (online);Video on demand;Market research;Data visualization;Metadata;Visual analytics;Meteorology;Visual Analytics;Trend Detection;Transformer;Speech to Text;Climate Change;Social Media},

pubstate = {published},

tppubtype = {inproceedings}

}