We present a new dataset for studying conversation disentanglement in movies and TV series. While previous work has focused on conversation disentanglement in IRC chatroom dialogues, movies and TV shows provide a space for studying complex pragmatic patterns of floor and topic change in face-to-face multi-party interactions. In this work, we draw on theoretical research in sociolinguistics, sociology, and film studies to operationalize a conversational thread (including the notion of a floor change) in dramatic texts, and use that definition to annotate a dataset of 10,033 dialogue turns (comprising 2,209 threads) from 831 movies. We compare the performance of several disentanglement models on this dramatic dataset, and apply the best-performing model to disentangle 808 movies. We see that, contrary to expectation, average thread lengths do not decrease significantly over the past 40 years, and characters portrayed by actors who are women, while underrepresented, initiate more new conversational threads relative to their speaking time. 
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                    This content will become publicly available on April 8, 2026
                            
                            Time to politicization: the emergence and effects of politics on science YouTube videos
                        
                    
    
            Increasingly, political tensions are seeping into everyday topics. This imposition of politics can change the flow of and dynamics within conversation. In this mixed-methods study, we address the act of politicizing science on YouTube. Using comment data from educational science videos, we identify the moment of explicit politicization and how this changes the subsequent conversation. Results show that politicization becomes more likely as the thread goes on and once a thread has been politicized, it remains that way. Furthermore, after politicization the toxicity of the subsequent comments increases, “tipping” the conversation about science toward personal accusations and attacks about political identity and partisanship. Qualitative insights reveal common “pathways” to politicization, which can be used to design mitigation strategies. 
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                            - Award ID(s):
- 2106476
- PAR ID:
- 10591184
- Publisher / Repository:
- Routledge
- Date Published:
- Journal Name:
- Journal of Information Technology & Politics
- ISSN:
- 1933-1681
- Page Range / eLocation ID:
- 1 to 17
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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