The Research Brief is a short take about interesting academic work.
The big idea
My colleagues and I used artificial intelligence to analyze hundreds of thousands of dialogues on cable news programs in order to better understand the nature of interruptions in political discussions. We found that women get substantially fewer opportunities to speak in those settings than men, and perhaps as a result they tend to interrupt more often than men.
Analyzing interruptions at this scale provides meaningful insights into subtle conversational dynamics and how they vary across race, gender, occupation and political orientation. In addition to gender differences, we found that across CNN, Fox News and MSNBC, conversations between people who hold opposite political beliefs are riddled with far more intrusive and unfriendly interruptions than those between people who share a political affiliation.
I’m a computer scientist who uses AI to study social science questions. In collaboration with student AI researchers from Carnegie Mellon University, we developed AI methods that reliably distinguish intrusive and unfriendly interruptions from those that are benign. Intrusive interruptions aim to take over a conversation or stifle the speaker, and benign interruptions aim to support the speaker with helpful information or indications of agreement.
Through a year-long effort, we analyzed 625,409 dialogues containing interruptions found in 275,420 transcripts from the three cable news networks spanning January 2000 and July 2021. We found that female speakers on the networks got out an average of 72.8 words per chance to speak compared to 81.4 for male speakers. We also found that female speakers interrupted in 39.4% of dialogues compared to 35.9% for male speakers. However, the women had a better ratio of benign to intrusive interruptions than the men did: 85.5% to 75.4%.