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overbye.bsky.social
PhD candidate @ UC Santa Barbara Comm | I study how people detect, perceive & respond to AI/algorithmic bias | On the market! https://www.hannahoverbye.com/
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Want to learn about drift diffusion modeling (DDM) but not sure where to begin? I put together a short, non-technical intro + curated links to help you get started 👇🧪 🔗 www.hannahoverbye.com/home/drift-d...

Very happy to see that @overbye.bsky.social’s fantastic work on detecting bias in human-in-the-loop algorithms was awarded a top paper in @icacsab.bsky.social this year. Incredibly interesting, rigorous, and timely research! #ica25

Everyone go see Erick present our work on algorithmic bias and risk. He is fantastic! #ICA25

Important Notice!! 😳 Due to @overbye.bsky.social receiving a Top Paper Award from the Communication Science and Biology (CSAB) Interest Group at #ICA25, I’ll now be presenting on behalf of her and our wonderful mixed-methods team: Ceciley Zhang and @laurentwang.bsky.social. Drop by and say hi! 👋🏽

@rachaelkee.bsky.social blowing us all away with her project at @hackingcommsci.bsky.social. Super impressive project with the goal of collecting high-throughput sleep and media data ✨😴📺 #ICA25

Great presentation by @kyliewoodman.bsky.social on fMRI analysis at @hackingcommsci.bsky.social. I am always blown away by how clearly Kylie is able explain complex topics #ICA25

📢 UCSB Communication is hiring a temporary lecturer! Check it out here 👇 recruit.ap.ucsb.edu/JPF02966 #CommSky #AcademicSky

Headed to #ICA25? I’d love to connect over research! DM me or say hi if you're around 👋 Let’s find time to chat 📚☕

🌟 A huge congratulations to @overbye.bsky.social for earning the Edwin Schoell Award for Excellence in Graduate Teaching, the department’s top recognition for exceptional teaching. A deserved recognition of her contributions across the board, supporting undergrads, grads, and faculty 👏📘

Looking forward to sharing our findings on when people perceive algorithmic bias as a risk and how that shifts depending on the type of algorithm involved #ICA25

Excited to share some thoughts about how we can use media effects theories to understand the impact of algorithmic bias at #ICA25. Hope to see some of you there!

So excited to share my research on how algorithmic bias influences decision making in human-in-the-loop contexts at #ICA25. Read more about it here 👇

Absolutely brilliant paper by @wankepan.bsky.social that 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 DDMs 🧪

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; device quality explained additional variance 🧪 #commsky

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 @musamalik.bsky.social , Lindsay Miller, and Alan Crawley 👏

Our final graduate student in our Meet the Lab series is @overbye.bsky.social. Hannah's work focuses on improving human-algorithm partnerships, understanding workarounds to AI bias, and building appropriate trust in algorithmic systems 🤖 You can read more about her work at www.hannahoverbye.com

Study by @janpfa.bsky.social found people can tell true from false news across 40 countries, n=194,438; true news was rated as more accurate than false news. Political concordance didn't affect discernment; people are not gullible of news they agree with but are skeptical of news they disagree with🧪

🧪 www.nature.com/articles/s41...

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? open.spotify.com/episode/3slK...

New study (2025) shows political affiliation is the strongest predictor of immigration views in 2020 election. High-income states and areas with more foreign residents showed more pro-immigration views. Anti-immigration tweets cited threats while pro-immigration focused on humanitarian concerns 🧪

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New study finds that datafication in newsrooms creates "coopetition" where journalists cooperate & compete. While data illuminate work outcomes journalists employ flexible interpretation strategies - embracing data when beneficial (data opportunism) while questioning it when not (data skepticism) 🧪

Excellent study by @vukasin.bsky.social (2025) finds US liberals trust scientists more than conservatives across all fields. Despite generally high trust levels overall, the gap is largest for climatologists. 5 interventions failed to increase trust, suggesting attitudes resistant to interventions 🧪

After nearly 6 years, I'm delighted to share a new paper in Journal of Media Psychology: "Media Neuroscience on a Shoestring 2.0". We studied cooperation using AR & low-cost EEG hyperscanning (doi.org/10.1027/1864...). 🧵Here’s how it started, what we found, & why it matters

New study (2025) finds LLM "AMIE" shows promise for assisting with medical diagnoses. Clinicians using this LLM achieved modestly better accuracy (51.7% vs 36.1%) in challenging case studies, while AMIE alone performed well (59.1% accuracy vs 33.6% for unassisted doctors) 🧪 doi.org/10.1038/s415...

Excellent overview by Fabris et al. (2025) of how algorithms are used in hiring, and the different ways these algorithms can unintentionally lead to discrimination 🧪 doi.org/10.1145/3696...

Finally got the plaque from NCA's masters education section, thanks @rnevshep.bsky.social

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. #commsky #AcademicSky

Study by Geiß, @christinaviehmann.bsky.social & Kelly shows inflation of crisis coverage in newspapers 1785-2020, with crisis labeling increasing faster than crisis waves. Why? Government expansion, mediatization of politics & crisis frame sponsor activity drive increases, not critical conditions 🧪

Hey hey hackers, this year’s #hackica25 is happening at the College of Media, Communication and Information in Boulder ⛰️ Huge thanks to our hosts 🫶 Registration is still open—come join us in the mountains!

Just read an excellent study by Kordzadeh & Ghasemaghaei that provides an overview of algorithmic bias research & proposes a framework linking biased outputs to user perceptions & behaviors. Key takeaway: we need more research on how bias influences human-algorithm dynamics🧪 doi.org/10.1080/0960...

Just registered! I highly recommend anyone who is thinking about going to #ICA25 to sign up for the hackathon, especially first time attendees and new grads as #hackica25 is a great place to make friends and learn some cool stuff 🚀

Want to know more about algorithmic bias but don't want to read a full book or journal article? I just found this piece by Nicol Turner Lee, Paul Resnick & Genie Barton that is an excellent overview of what algorithmic bias is, why it matters & current solutions 🧪 www.brookings.edu/articles/alg...

Congratulations Kylie! It was truly a wonderful talk 🥳

Study shows algorithmic bias detection is challenging - only ~41% of participants recognized bias in a hiring algorithm, favoring German over Turkish applicants. Noticing the bias reduced attitudes towards both algorithms generally and the hiring algorithm specifically 🧪 doi.org/10.3389/fpsy...

Study shows machine learning transparency affects user trust - when systems disclosed they were learning from users, they were viewed as helpful rather than privacy threats, regardless of performance quality. Why? Cues about AI learning triggered "helper heuristic," reducing frustration 🧪