Moa is a platform that uses consent boundaries for anonymous yet targeted ally discovery in PhD advising discussions.
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4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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UNVERDICTED 4representative citing papers
Reddit communities can be predicted to become hateful or dangerous months in advance using machine learning on changes in user base and discourse topics.
The dissertation proposes three methods to counter misattunements in youth social media design and develop youth-grounded criteria for supportive platforms.
Reflections on how uncritical acceptance of LLM answers violates Grice's Maxim of Quality and Lemoine's Maxim of Innocence while flawed detection tests risk mislabeling human work as AI-generated.
citing papers explorer
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Enabling Sensitive Conversations with Consent Boundaries: Moa, a Platform for Discussing PhD Advising Relationships
Moa is a platform that uses consent boundaries for anonymous yet targeted ally discovery in PhD advising discussions.
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To Act or React: Investigating Proactive Strategies For Online Community Moderation
Reddit communities can be predicted to become hateful or dangerous months in advance using machine learning on changes in user base and discourse topics.
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Problem Space Attunement in Youth Social Media Design
The dissertation proposes three methods to counter misattunements in youth social media design and develop youth-grounded criteria for supportive platforms.
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Epistemic reflections on AI answering our questions: overwatch, erudite, logician, interlocutor
Reflections on how uncritical acceptance of LLM answers violates Grice's Maxim of Quality and Lemoine's Maxim of Innocence while flawed detection tests risk mislabeling human work as AI-generated.