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This blog post discusses a recent large-scale Twitter dataset and its potential applications in research. The dataset consists of over 375 million tweets collected over 24 hours in 2022 by 80 scholars. The data provides a valuable reference point for future research projects and presents exciting research opportunities, including examining harmful online content and identifying cultural differences. The full dataset is hosted on GESIS Archive, and potential API limitations could restrict its access in the future.

The term “social bot” is commonly used to describe various degrees of automation in social networks by third parties, whether actual or imagined. While the social bot phenomenon was previously used in 2016 and 2017 to explain manipulation in the context of the Brexit referendum or the election of Donald Trump, the term has now also become a buzzword used to discredit discussion partners in public debates.