Hi!
I'm Anna Beers. I am a postdoctoral researcher at the University of North Carolina's Center for Information, Technology, and Public Life. I received my PhD from the University of Washington's Human-Centered Design and Engineering program (HCDE), while working at the Center for an Informed Public.
I research social media influencers, science communication, and right-wing extremism on social media using network science, machine learning, and mixed methods. I was advised by Kate Starbird and Emma S. Spiro. 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, ICWSM, The Journal of Online Trust and Safety, AoIR, and others.
Before my PhD, I worked at the Quantitative Translational Imaging Lab 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 albeers at unc dot edu. 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 postdoctoral researcher at the University of North Carolina's Center for Information, Technology, and Public Life. I received my PhD from the University of Washington's Human-Centered Design and Engineering program (HCDE), while working at the Center for an Informed Public.
I research social media influencers, science communication, and right-wing extremism on social media using network science, machine learning, and mixed methods. I was advised by Kate Starbird and Emma S. Spiro. 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, ICWSM, The Journal of Online Trust and Safety, AoIR, and others.
Before my PhD, I worked at the Quantitative Translational Imaging Lab 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 albeers at unc dot edu. You can also send a message via LinkedIn or Twitter, and I'll get back to you when I can.