Title:
Understanding Intrusive Questioning in Online Conversations
Understanding Intrusive Questioning in Online Conversations
Author(s)
Das, Rohit
Advisor(s)
Yang, Diyi
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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.
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Date Issued
2022-05
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Resource Type
Text
Resource Subtype
Undergraduate Thesis