From climate-change alarms and “tripledemic” concerns to the Bulletin of Atomic Scientists’ Doomsday Clock, we are awash in dire warnings.
News and social media alert us daily to the dangers of everything from nefarious politicians to natural disasters. All of these warnings — some sincere, some manufactured — are lighting up not only our smartphones but also our brains, prompting us to ask how all the “threat talk” might be affecting us psychologically and socially.
To cut through the hysteria and improve our understanding of credible threats, we and our colleagues have created a “threat dictionary” that uses natural language processing to index threat levels from mass communication channels. In research published in the Proceedings of the National Academy of Sciences, we demonstrate the tool’s use both in identifying invisible historical threat patterns and in potentially predicting future behavior. (The tool is publicly available to anyone who wants to measure the degree of threat language present in any English-language text.)
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