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    Understanding Intrusive Questioning in Online Conversations

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    DAS-UNDERGRADUATERESEARCHOPTIONTHESIS-2022.pdf (571.2Kb)
    Author
    Das, Rohit
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    Abstract
    In online mental health platforms, ensuring that vulnerable users receive care without harm is of paramount importance. Our group created a representative, data-driven semantic taxonomy for harmful behaviors that occur on these platforms and then further defined and analyzed one of these behaviors: intrusive questioning, which we found was linked to negative experiences on the platform. Then, after labeling 100k+ messages, we created a model that could identify intrusive questioning with a high accuracy that surpassed a baseline keyword approach.
    URI
    http://hdl.handle.net/1853/66751
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    • School of Computer Science Undergraduate Research Option Theses [197]
    • Undergraduate Research Option Theses [841]

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