Summary:
- The article discusses a study that used machine learning to analyze over 100,000 scientific abstracts and identify trends in the language used to describe scientific findings.
- The study found that the language used to describe positive and negative findings has become more polarized over time, with researchers being more likely to use stronger, more emotive language to describe their results.
- The authors suggest that this trend towards more dramatic language could be influencing how scientific findings are perceived and communicated, and they call for researchers to be more mindful of the language they use when reporting their work.