I study politicians, non-profit organizations, and television fans to understand how people use social media to organize, discuss, and enact social change. 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.
Social media has some very real toxicity challenges, like harassment and cyberbullying, that diminish its utility for collective and democratic efforts, so I work on curbing those too (Belfer Fellowship, Mozilla Grant, Nayar Prize).
I have a few titles at the University of Michigan:
From 2010 - 2017, I was a faculty member in the Humanities Department and directed the Collective Action and Social Media Lab at Illinois Institute of Technology.
Work with Me
Thank you for your interest! I’m not recruiting student RAs right now.
I am a faculty mentor in the 2021 Michigan Data Science Fellows Program. It’s a two-year program, and a fellow who works with me with have a co-mentor in UMSI and join research communities in the Institute for Research on Women and Gender and/or Digital Studies Institute.
I’m looking for someone interested in using computational approaches to understand social media experiences of historically marginalized populations. 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 April 23. Email me by March 31 if you’re interested in applying together.
Current Funded Research Projects
Get in Touch
Email is best.
Here’s a PDF of my CV, and a few recent publications:
- Hemphill, L., Million, A. J., & Erickson, I. (2021). How nonprofits use Facebook to craft infrastructure. First Monday. https://doi.org/10.5210/fm.v26i3.10265
- Hemphill, L., Hedstrom, M. L., & Leonard, S. H. (2020). Saving social media data: Understanding data management practices among social media researchers and their implications for archives. Journal of the Association for Information Science and Technology, 3, 34. https://doi.org/10.1002/asi.24368
- Hemphill, L., Russell, A., & Schöpke-Gonzalez, A. M. (2020). What Drives U.S. Congressional Members’ Policy Attention on Twitter? Policy & Internet. https://doi.org/10.1002/poi3.245
- Hemphill, L., and Schöpke-Gonzalez, A.M. (2020) Two Computational Models for Analyzing Political Attention in Social Media. International AAAI Conference on Web and Social Media (ICWSM 2020), 260-271.
- Im, J., Chandrasekharan, E., Sargent, J., Lighthammer, P., Denby, T., Bhargava, A., Hemphill, L., Jurgens, D., & Gilbert, E. (2020). Still out there: Modeling and Identifying Russian Troll Accounts on Twitter. 12th ACM Conference on Web Science, 1–10. https://doi.org/10.1145/3394231.3397889 (* Best Paper Runner-up)
- Hemphill, L. and Shapiro, M.A. (2019) Appealing to the Base or to the Moveable Middle? Incumbents’ Partisan Messaging Before the 2016 U.S. Congressional Elections. Journal of Information Technology and Politics. doi: 10.1080/19331681.2019.1651685
- Jurgens, D., Chandrasekharan, E., and Hemphill, L. (2019) A Just and Comprehensive Strategy for Using NLP to Address Online Abuse. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). Florence, Italy.
- Liu, P., Guberman, J., Hemphill, L., & Culotta, A. (2018). Forecasting the presence and intensity of hostility on Instagram using linguistic and social features. In Proceedings of the 12th International Conference on Web and Social Media. Stanford, CA, USA.
- Shapiro, M.A. and Hemphill, L. (2017). Politicians and the Policy Agenda: Does Use of Twitter by the U.S. Congress Direct New York Times Content? Policy and Internet . doi: 10.1002/poi3.120
- Hemphill, L., Culotta, A., & Heston, M. (2016). #Polar Scores: Measuring Partisanship Using Social Media Content. Journal of Information Technology & Politics. 13(4). doi: 10.1080/19331681.2016.1214093
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.
- Hemphill, L., Million, A.J., and Erickson, I. (2018) Crafting Moral Infrastructures: How Non-profits Use Facebook to Survive
- Hemphill, L., Leonard, S.H., and Hedstrom, M. (2018) Developing a Social Media Archive at ICPSR
- Hemphill, L. (2018) More Specificity, More Attention to Social Context: Reframing How We Address ‘‘Bad Actors’’
- Hemphill, L., Culotta, A., and Heston, M. (2013) Framing in Social Media: How the US Congress Uses Twitter Hashtags to Frame Political Issues
You can find more at
- Deep Blue (Michigan’s institutional repository)
- arXiv.org (open access e-prints)
- SSRN (though I won’t post new papers here now that Elsevier owns it)