Hannah Overbye-Thompson

@overbye.bsky.social

Incoming Assistant Professor at MSU ComArtSci AD + PR | I study how people detect, perceive & respond to AI/algorithmic bias https://www.hannahoverbye.com/

Hey #ICA26! Tomorrow, catch our student Sylo de Vegvar present her work "Transgender and Cisgender Social Media Users through a Diffusion of Innovations Lens": 15:00–16:15 in Room 1.43 (CTICC1, Level 1). It's her first ICA, so stop by and say hi! 👋🥳

Hey y'all! Very pleased to announce that we'll be hosting Communication Science Futures again in East Lansing later this year. The conference in 2024 was a blast, and we're looking forward to running it back! Keynote speaker: James Pennebaker Submission deadline: June 5th. → commscifutures.com

Home | Communication Science Futures

Communication Science Futures is a conference aimed at addressing pressing issues and opportunities in the interdisciplinary, social...

commscifutures.com

New year, new chapter! I am incredibly excited to share that starting in fall 2026, I'll be joining Michigan State University as a tenure-track Assistant Professor in Advertising + PR. A big thank you to everyone who has been extra kind during my job market year & Go Green! 💚🤍

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I've noticed w/research it's often hard to find validated measures of constructs without hobbling together scales from multiple papers; now when possible I try to contribute by validating scales. Below is a scale that I hope is helpful that measures the perceptual attributes of DOI + reinvention 🧪

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New study (2025) examines if people can detect bias in AI training data. Key finding: Training data cues were largely ineffective; users relied on AI performance instead to judge bias + consistent with prior work on AI bias, the majority of participants failed to notice any bias in training data 🧪

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New study by Aquino et al. provides a fabulous look at differing opinions about algorithmic bias held by healthcare professionals. 72 experts had 3 key disagreements: whether bias exists (most say yes, some no), who's responsible for fixing it & whether to include race/ethnicity data in AI systems 🧪

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New study by @drjt.bsky.social examines if attention control explains the 🔗 between inspection time tasks and intelligence. Key finding: attention control fully mediated the inspection time-intelligence relationship + people with better sustained attention showed less performance decline over time 🧪

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After a great summer teaching Social Networks at UCSB, I wanted to share 4 of my favorite network examples we explored in class 🧪🧵 1. Who Will Be the Next Pope? 2. The Hidden Network of Trees 🌳 3. The Beer Graph 🍺 4. The Oracle of Bacon 🥓🎬

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New study (Campbell & Hawkins, 2025) examines why people expect news to find them on social media (vs seeking it out). Key finding: when people habitually scroll social media w/out thinking + believe algorithms/lack of control drive SM usage, they're more likely to rely on incidental news exposure 🧪

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New paper by Zhang et al. 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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