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This PR introduces the full implementation of our methods from the paper: Time is On My Side: Dynamics of Talk-Time Sharing in Video-chat Conversations, along with a detailed demo showcasing our analysis and results.

In the paper, we present a computational framework to measure how talk-time is distributed between speakers throughout a conversation—capturing both the overall conversation-level balance and the fine-grained dynamics that lead to it.

The demo first applies our method to the CANDOR corpus, highlighting conversational patterns in video-chat settings. We then extend the analysis to Supreme Court oral arguments to demonstrate the method's adaptability across different conversational domains.

Our approach surfaces patterns in how speakers alternate dominance, engage in back-and-forths, or maintain relatively equal control of the floor. We show that even when conversations are similarly balanced overall, their temporal talk-time dynamics can lead to diverging speaker experiences. This framework can be extended to a wide range of dialogue settings, including multi-party and role-asymmetric interactions.

For full details and further discussion, please see the original paper: Time is On My Side: Dynamics of Talk-Time Sharing in Video-chat Conversations

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