Libby Hemphill

schoolUniversity of Michiganbar_chart#5486 Global Rank

Total Papers

HCI Rank

#5486

Research Areas

Years Active

Recent Publications

Using Off-the-Shelf Harmful Content Detection Models: Best Practices for Model Reuse

Supervised machine learning is a common approach for automated harmful content detection to support content moderation. This approach relies on data annotated by humans to train models to recognize classes of harmful content. For detection tasks, researchers or content moderation communities typically either design th…

CSCW '24CorrespondingSession 3d: Moderating the Digital Sphere

AppealMod: Inducing Friction to Reduce Moderator Workload of Handling User Appeals

As content moderation becomes a central aspect of all social media platforms and online communities, interest has grown in how to make moderation decisions contestable. On social media platforms where individual communities moderate their own activities, the responsibility to address user appeals falls on volunteers f…

CSCW '232nd AuthorModeration III

Remove, Reduce, Inform: What Actions do People Want Social Media Platforms to Take on Potentially Misleading Content?

To reduce the spread of misinformation, social media platforms may take enforcement actions against offending content, such as adding informational warning labels, reducing distribution, or removing content entirely. However, both their actions and their inactions have been controversial and plagued by allegations of…

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