Libby Hemphill, PhD

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ORCID: 0000-0002-3793-7281

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About Me

Social media has some very real toxicity challenges, like harassment and cyberbullying, that diminish its utility for collective and democratic efforts, and I study human-AI content moderation to address those challenges (NSF Grant, Belfer Fellowship, Mozilla Grant, Nayar Prize). I also study data curation, especially how we evaluate (a) the impacts of data reuse and (b) investments in curating and disseminating research data. My work has been funded by the National Science Foundation, the Institute for Museum and Library Services, the Nayar Prize, Mozilla, the Anti-Defamation League, Amazon, and DiscoverText.

I have a few titles at the University of Michigan:

Work with Me

Thank you for your interest! I’m recruiting postdocs through the Michigan Data Science Fellows program:

The Michigan Data Science Fellows program is now accepting applications for the 2023 cohort. I’d be willing to mentor someone interested in using computational approaches to understand social media experiences of historically marginalized populations. These projects would fit the Enhancing Scientific and Societal Impact or Measuring and Improving Society themes for the program. For instance, projects in this space grow from seeds like: what’s the difference in viewership and promotion for fashion YouTubers of different races? What rates of content deletion do women and nonbinary folks face compared to men on Reddit? How do the demographics of the labelers influence supervised machine learning models for toxicty detection?

Candidates and mentors must apply jointly by January 15. Email me by December 31 if you’re interested in applying together.

Current Funded Research Projects

Get in Touch

Email is best.

Publications

Here’s a PDF of my CV and some recent publications:

Data Curation and Archiving

Social Media, Content Moderation, and Extremism

Political Communication in Social Media

Working Papers

Some of my work that’s not (yet) published. These are workshop papers, papers under review, and/or longer versions of papers for conferences that review only abstracts during submission.

You can find more at