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User:Cornell-DNM-Lab

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This is the user account for the ConvoWizard research team at Cornell University. This account is jointly operated by Cristian Danescu-Niculescu-Mizil (faculty) and Jonathan P. Chang (PhD student).

Our team is working on a prototype browser extension "ConvoWizard" which uses AI technology to provide Wikipedia editors with real-time warnings of rising tension within conversations. Specifically, whenever an editor who has ConvoWizard installed replies to a discussion on a talk page or noticeboard, the tool will provide an estimate of whether or not the discussion looks to be getting tense (i.e., likely to deteriorate into incivility), as well as feedback on how the editor’s own draft reply might affect the estimated tension. We envision ConvoWizard as a prototype for a future user-facing tool that Wikipedia editors who frequently engage in discussions could include in their everyday workflow, alongside the many other tools that they already use.

ConvoWizard is based on a tool that we previously piloted on Reddit, so those interested in finding out more can check out NPR's coverage of the study.[1] Also, for those with a technical background in machine learning and/or natural language processing who are interested in more details about the technology, it is introduced in this paper;[2] the model is also open-source and its training data is publicly accessible and documented.

We share Wikipedia’s commitment to transparency and accountability. If you came across this page due to an announcement or discussion thread we posted about the study, and you have thoughts, questions, or concerns, we invite you to voice your feedback on our user talk page, or email us directly.

Notes

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  1. ^ [1] Ayesha Rascoe (2023). "A new AI tool can moderate your texts to keep the conversation from getting tense". NPR Weekend Edition.
  2. ^ [2] Jonathan P. Chang and Cristian Danescu-Niculescu-Mizil (2019). "Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop". Proceedings of EMNLP.