Hi!
I'm Anna Beers. I am a Visting Postdoctoral Fellow for International Academic Freedom at the University of Tuebingen, where I am doing comparative reseach on how far-right media interacts with technological cultures, including influencer/creator culture and emerging algorithmic technologies frequently referred to as "AI."" I received my PhD from the University of Washington's Human-Centered Design and Engineering program (HCDE). From 2024-2025, I was a postdoctoral researcher at the University of North Carolina at Chapel Hill's Center for Information, Technology, and Public Life.
I research social media influencers, science communication, and right-wing extremism on social media using network science, machine learning, and mixed methods. More specifically, I focus on understanding how different social media influencers in United States digital politics work together and against each other to produce the "news" we see online, with a particular emphasis on where this process breaks down. I have published first-author work in venues such as Science Advances, Information, Communication, and Society, ICWSM, The Journal of Online Trust and Safety, AoIR, and others.
Before my PhD, I worked at the Quantitative Translational Imaging Lab (QTIM) at the Martinos Center for Biomedical Imaging. My work at the QTIM focused on machine learning as applied to medical imaging scans, as well as software development for the imaging program 3D Slicer and the Python package DeepNeuro. Before that, I was an undergraduate at Brown University in the Environmental Studies department researching historical records of climate change in the North Atlantic ocean. In between, I have worked for non-profit organizations in research and fundraising capacities.
You can see a full list of publications on my Google Scholar profile, my CV at this link, and some of my coding projects on my Github account.
Want to reach me? Send an email to anna dot beers at philosophie dot uni-tuebingen dot de. You can also send a message via LinkedIn or Twitter, and I'll get back to you when I can.
I'm Anna Beers. I am a Visting Postdoctoral Fellow for International Academic Freedom at the University of Tuebingen, where I am doing comparative reseach on how far-right media interacts with technological cultures, including influencer/creator culture and emerging algorithmic technologies frequently referred to as "AI."" I received my PhD from the University of Washington's Human-Centered Design and Engineering program (HCDE). From 2024-2025, I was a postdoctoral researcher at the University of North Carolina at Chapel Hill's Center for Information, Technology, and Public Life.
I research social media influencers, science communication, and right-wing extremism on social media using network science, machine learning, and mixed methods. More specifically, I focus on understanding how different social media influencers in United States digital politics work together and against each other to produce the "news" we see online, with a particular emphasis on where this process breaks down. I have published first-author work in venues such as Science Advances, Information, Communication, and Society, ICWSM, The Journal of Online Trust and Safety, AoIR, and others.
Before my PhD, I worked at the Quantitative Translational Imaging Lab (QTIM) at the Martinos Center for Biomedical Imaging. My work at the QTIM focused on machine learning as applied to medical imaging scans, as well as software development for the imaging program 3D Slicer and the Python package DeepNeuro. Before that, I was an undergraduate at Brown University in the Environmental Studies department researching historical records of climate change in the North Atlantic ocean. In between, I have worked for non-profit organizations in research and fundraising capacities.
You can see a full list of publications on my Google Scholar profile, my CV at this link, and some of my coding projects on my Github account.
Want to reach me? Send an email to anna dot beers at philosophie dot uni-tuebingen dot de. You can also send a message via LinkedIn or Twitter, and I'll get back to you when I can.