Hannah Overbye-Thompson
@Hannah_Overbye
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PhD candidate @CommUcsb | @UofIllinois alum | I study how people detect, perceive & respond to AI/algorithmic bias. Mostly on BlueSky these days
Joined May 2015
I'm excited to share that I'm officially a Ph.D. candidate 🎉 Meaning I'll be on the job market this fall (gulp). My research explores human-algorithm interaction and the social impact of emerging tech at the intersection of mass communication & decision-making.
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New paper examines algorithmic management (AM) systems identifying 5 perspectives: surveillance/control, neutral tool, agentic boss, socio-technical process, and contradictory unity. AM creates tensions between control vs autonomy, transparency vs opacity, efficiency vs fairness
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New study (2025) introduces the Capability-Personalization Framework to explain when people prefer AI vs humans. Meta-analysis reveals AI appreciation occurs only when AI seems more capable AND personalization is unnecessary; otherwise people show AI aversion
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📢 UCSB Communication is hiring a temporary lecturer! Check it out here 👇.
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So excited to share my research using drift diffusion modeling to understand how algorithmic bias influences decision making in human-in-the-loop contexts at #ica25. Read more about it here 👇.
In the lead up to #ica25, we're highlighting top papers! Today you can read about "Expectation of Algorithm Bias Increases Caution: Implications for Human-in-the-Loop Decisions"
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Absolutely brilliant paper by @WankePan solves a major barrier to drift-diffusion modeling by introducing dockerHDDM: a user-friendly Docker environment with easy installation, Apple chip compatibility, and modern Bayesian tools. The paper is also an excellent introduction to DDM
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New study (2025) shows computer access is the strongest predictor of beneficial internet use, surpassing smartphones & in-home internet. Households with a computer but no internet still fared better than those with internet but no computer
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Incredibly honored to receive the UCSB GSA Excellence in Teaching Award — and even more proud that a third of the winners came from UCSB COMM! Congrats to.Musa Malik, Lindsay Miller, and Alan Crawley 👏
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RT @KylieWoodman1: Przybylski & Orben’s preregistered study provides great support for teens with mental health conditions use social media….
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RT @HCR_Journal: New Pub Alert! . A three-wave panel study by Hyun Suk Kim, Soela Kim, & Eun-Ju Lee finds that greater spending on avatar c….
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Interesting take by the late Daniel Kahneman that algorithmic bias is preferable to human bias because it eliminates noise (i.e., random inconsistency in judgment). But given that many algorithms aren’t static (i.e., LLMs), how true is that?.
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New study shows political affiliation is the best predictor of immigration views in 2020 election. High-income states & areas with more foreign residents showed more pro-immigration views. Anti-immigration tweets cited threats while pro-immigration focused on humanitarian concern
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RT @LaurentH_Wang: My recent study (OA) found that people's perceived surveillance did not differ as a function of exposure to ad transpare….
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New study finds that datafication in newsrooms creates "coopetition" where journalists cooperate & compete. Journalists employ flexible interpretation strategies - embracing data when beneficial (data opportunism) while questioning it when not (data skepticism)
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I have to add, this was a joy to read. Truly very well written with a nuanced interpretation of results.
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