iiinova — where your digital self keeps evolving

Reposted by Hannah Overbye-Thompson

Quantitude the Podcast @quantitude.bsky.social · 01/09/2026

S8E01 The True Crimes of Null Hypothesis Significance Testing Patrick and Greg find it deeply unfair that the podcast hasn’t grown popular enough to fund a Quantitude jet. So they try to make it a true crime podcast, and revisit the case of Null Hypothesis Significance Testing.

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Hannah Overbye-Thompson @overbye.bsky.social · 15/06/2026

And that's a wrap on graduation weekend; I am officially done with my PhD 🥳

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Reposted by Hannah Overbye-Thompson

UCSB Media Skill Lab @mediaskill.bsky.social · 06/06/2026

We are so excited to announce that @overbye.bsky.social has been awarded the James J. Bradac Award for Outstanding Graduate Student Research from the UCSB Department of Communication! 🏆 This honor recognizes significant contributions to the field of human communication. Congratulations! 🎉

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Reposted by Hannah Overbye-Thompson

UCSB Media Skill Lab @mediaskill.bsky.social · 06/06/2026

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! 👋🥳

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Reposted by Hannah Overbye-Thompson

Quantitude the Podcast @quantitude.bsky.social · 03/06/2026

For those who are interested, here is an 8-minute TED talk style talk that I (Greg Hancock) gave a couple of months ago on using your quantitative aptitude and attitude — your Quantitude. youtu.be/jWxfHsRyLEk?...

youtu.be

Using Our Quantitative Aptitude—and Attitude—to Question Information in the World Around Us

YouTube video by UMD College of Education

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Reposted by Hannah Overbye-Thompson

Jacob T. Fisher @jacobtfisher.online · 18/03/2026

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

commscifutures.com

Home | Communication Science Futures

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

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Reposted by Hannah Overbye-Thompson

Mark Boukes @markboukes.bsky.social · 24/02/2026

Does “mass communication” still exist — and if so, what should it mean today? In this Forum for @jmcquarterly.bsky.social, we reflect on that question: "The Necessary Evolution of Mass Communication Research in a Fragmenting Media Landscape." Open-access: doi.org/10.1177/1077...

The Necessary Evolution of Mass Communication Research in a Fragmenting Media Landscape:

With the ongoing evolution of media channels, debates over the concept of mass communication have been reignited. When we live in a society of filter bubbles and AI-generated content, the very notion of a large uniform audience has been undermined. Indeed, the process of mass communication looks different today than in the early days of the field, which naturally affects how to define and measure media effects. In this forum, leading communication scholars provide arguments as to whether we should keep using the term “mass communication,” adapt its definition, or develop entirely new concepts that better reflect our fragmenting media environment.

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Reposted by Hannah Overbye-Thompson

hackingcommsci @hackingcommsci.bsky.social · 10/02/2026

Good news! 🎉 The registration issue has been resolved — everything should now work smoothly. 🔗 Direct link: www.icahdq.org/event/Hackat... 🗓 Registration is open until April 5, 2026 Looking forward to seeing you at the ICA Hackathon 2026 @SU School for Data Science and Computational Thinking! 🚀💡

icahdq.org

International Communication Association

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Chokely Carmichael🥋 @stewartcoles.bsky.social · 21/01/2026

🚨New pub alert!🚨 Now available open-access in @hcr-journal.bsky.social, I show how endorsements of entertainment media from ingroup members, particularly inpartisans, affect exposure intentions, with differential effects across racial lines. #PolComm #PoliSci #Politics #MediaStudies 🧵

Current explanations for political divides in entertainment media use identify divergent preferences for or evaluations of content. According to the theory of normative social behavior (TNSB), extratextual information such as cues about the audience may also influence exposure intentions due to viewers’ perceptions of ingroup norms. Social media users discuss and form communities around entertainment content while conveying partisan and racial identities. A preregistered experiment exposed Black and White partisans (N = 1,259) to tweets in which a television show was endorsed by co- or out-partisans who were racial in- or out-group members. Exposure intentions were stronger when endorsement came from co-partisans; however, this effect was stronger for White partisans. Treatment effects were mediated by perceived ingroup norms and perceptions of how much of the audience consisted of ingroup members. Implications of multiple identities (i.e., race and partisanship) for the TNSB and the study of partisan entertainment divides are discussed.

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Hannah Overbye-Thompson @overbye.bsky.social · 31/12/2025

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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Hannah Overbye-Thompson @overbye.bsky.social · 16/10/2025

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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Hannah Overbye-Thompson @overbye.bsky.social · 14/10/2025

Fabulous study by @felix-dietrich.de @aliciaernst.bsky.social @rkreling.bsky.social et al., examining how algorithmic curation affects music streaming UX. Key finding: More algorithmic recommendations = less enjoyment, BUT listening sessions w/algorithmic curation were perceived as more novel 🧪

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Hannah Overbye-Thompson @overbye.bsky.social · 09/10/2025

New study (2025) examines how AI autonomy affects user agency and attitudes. Key finding: AI autonomy triggers psychological reactance through threats to freedom, BUT personalization benefits cancel this out + users with higher agency feel more threatened by autonomous AI 🧪 doi.org/10.1080/0883...

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Hannah Overbye-Thompson @overbye.bsky.social · 23/09/2025

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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Hannah Overbye-Thompson @overbye.bsky.social · 03/09/2025

New paper (2025) by @len-s.bsky.social proposes the PMSIS model: parents can use racially diverse entertainment media + "foreground co-viewing" + active mediation to improve children's intergroup socialization 🧪 doi.org/10.1093/annc... Great work Sovannie 👏👏👏 #commsky

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Hannah Overbye-Thompson @overbye.bsky.social · 29/08/2025

New study by @janadreston.bsky.social @anneo.bsky.social & @germanneubaum.bsky.social reveals how users understand algorithms. Key findings: 71% have a basic understanding of algorithms but only 33% can explain how they work; users see themselves as passive actors when interacting with algorithms 🧪

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Hannah Overbye-Thompson @overbye.bsky.social · 27/08/2025

Personally, I had a lot of fun on this project. It was my first time leading a mixed-methods study and an all-student team. I hope this research is useful for informing design, policy, and education efforts that help people feel more empowered in the algorithmic age.

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Hannah Overbye-Thompson @overbye.bsky.social · 27/08/2025

Demographics mattered too: 👩‍🦱 Women & people of color often described avoidant attitudes—seeing risks but feeling powerless. Which makes sense, as they are often the target of algorithmic bias 👨 White men sometimes saw systemic risks but reported higher efficacy.

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Hannah Overbye-Thompson @overbye.bsky.social · 27/08/2025

Qual findings: ⚠️ Risks clustered around mental health, privacy, fairness, and polarization. 💡 Efficacy beliefs were split into: Powerlessness, Strategic consumption (user tactics) & Collective responsibility (policy, regulation, audits)

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Hannah Overbye-Thompson @overbye.bsky.social · 27/08/2025

Quant findings: 📊 People saw organizational algorithms as riskier than personal ones. 📊 But they also felt less able to mitigate bias in those systems. In other words, the higher the stakes, the less control people feel.

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Hannah Overbye-Thompson @overbye.bsky.social · 27/08/2025

Drawing from the Risk Perception Attitude framework, we studied how people think about algorithmic bias in both: - Organizational algorithms (e.g., hiring, healthcare, policing) - Individual-use algorithms (e.g., search engines, facial filters)

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Hannah Overbye-Thompson @overbye.bsky.social · 27/08/2025

Excited to share my new paper with @garciaerick.bsky.social Xinyi Zhang & @laurentwang.bsky.social. We ask: Do people see algorithmic bias as a risk—and do they feel capable of addressing it? Answer... It depends! More below 👇🧪 #commsky doi.org/10.1080/1044...

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Hannah Overbye-Thompson @overbye.bsky.social · 21/08/2025

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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Hannah Overbye-Thompson @overbye.bsky.social · 21/08/2025

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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Reposted by Hannah Overbye-Thompson

UCSB Media Skill Lab @mediaskill.bsky.social · 05/08/2025

🎉 Huge congrats to our team @overbye.bsky.social, Kristy Hamilton and @jacobtfisher.online for receiving a Top Student Paper award in the Communication & Social Cognition Division at #NCA25! 🏆

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Hannah Overbye-Thompson @overbye.bsky.social · 04/08/2025

4. The Oracle of Bacon 🥓🎬 A classic: plug in any actor and see how many steps it takes to reach Kevin Bacon (or any other actor). Based on co-appearances in films. oracleofbacon.org

oracleofbacon.org

The Oracle of Bacon

Kevin Bacon numbers, link any actor to any other, the Center of the Hollywood Universe, and more

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Hannah Overbye-Thompson @overbye.bsky.social · 04/08/2025

3. The Beer Graph 🍺 Curious how Lagers relate to Stouts? This interactive network lets you explore how beers are connected by taste, aroma, and appearance. Fun use of similarity graphs! seekshreyas.github.io/beerviz/

seekshreyas.github.io

Beer Viz | Discover beers, & say cheers!

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Hannah Overbye-Thompson @overbye.bsky.social · 04/08/2025

2. The Hidden Network of Trees 🌳 Trees communicate underground using fungal networks; sharing nutrients, warning of threats, and shaping forest life. A lovely example of why we study two-mode networks 🍄📡 www.youtube.com/watch?v=DUqE...

youtube.com

How trees secretly talk to each other - BBC World Service

YouTube video by BBC World Service

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Hannah Overbye-Thompson @overbye.bsky.social · 04/08/2025

1. Who Will Be the Next Pope? Network science can help us predict it. The Network Conclave project mapped connections between cardinals; before Robert Prevost was selected, we could see he had the highest eigenvector centrality (i.e., he knew important others). 👑🌐 www.unibocconi.it/en/news/netw...

unibocconi.it

In the Network of the Conclave - Bocconi University

How network science can help us understand who will be the next Pope. The study by Soda, Iorio, and Rizzo reveals how status, information and alliances influence the papal election.

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Hannah Overbye-Thompson @overbye.bsky.social · 04/08/2025

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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Hannah Overbye-Thompson @overbye.bsky.social · 01/08/2025

New from @kyliewoodman.bsky.social "baseline levels of psychopathology were significantly associated with an increased risk of developing gaming disorder 1 year later. However, there was no significant association between gaming disorder and the development or worsening of psychopathology." 🧪

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Hannah Overbye-Thompson @overbye.bsky.social · 01/08/2025

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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Hannah Overbye-Thompson @overbye.bsky.social · 27/07/2025

Taken together, I hope these contributions make it easier to: • Frame algorithmic bias more clearly • Talk about how people respond to it in everyday life • Study that behavior with more precision Thanks for reading! 5/5 🧵

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Hannah Overbye-Thompson @overbye.bsky.social · 27/07/2025

Finally, the paper offers an example for thinking about when and how to study workarounds to algorithmic bias, depending on whether algorithmic bias is real, perceived, or both, which I hope can serve as a starting point for examining bias in various sociotechnical contexts. 4/5 🧵

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Hannah Overbye-Thompson @overbye.bsky.social · 27/07/2025

The paper proposes the concept of “workarounds” to describe how individuals respond to biased systems. Algorithmic bias workarounds are goal-driven attempts by users to overcome, bypass, or reduce perceived or existing algorithmic bias, which is something we lack consistent language for. 3/5 🧵

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Hannah Overbye-Thompson @overbye.bsky.social · 27/07/2025

One of the challenges I've had when studying the effects of algorithmic bias is getting a high-level picture of how bias enters algorithms. Here I offer a simple breakdown of where/how bias can arise across different stages of development as well as some domains where we commonly see bias 2/5 🧵

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Hannah Overbye-Thompson @overbye.bsky.social · 27/07/2025

Excited to share my new work aimed at making algorithmic bias easier to study w/3 key contributions • Clear overview of how/where algorithmic bias arises • Workarounds as a concept for user adaptation • Framework for analyzing bias that is real, perceived, or absent 1/5 🧵🧪 doi.org/10.1007/s001...

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Hannah Overbye-Thompson @overbye.bsky.social · 24/07/2025

For anyone on the Communication job market this year S. Rutherford McEwan has put together an excellent spreadsheet for 2025-2026 openings. Highly recommend checking it out (whether you're applying or hiring): docs.getgrist.com/rHppfvPrMDQd... #commsky #academicsky #communication

docs.getgrist.com

Comm Job Spreadsheet 2025-2026 - Grist

A modern, open source spreadsheet that goes beyond the grid

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