iiinova — where your digital self keeps evolving

Reposted by Ryan Moore

Ben Lyons @benlyons.bsky.social · 23/09/2026

I’m excited to be on a panel at the Trust & Safety Research Conference @techimpactpolicy.bsky.social on Oct 1, w @ryanmoore.bsky.social, @nadiabrashier.bsky.social & Doug Shadel. We'll be talking all about older adults & untrustworthy info online. #TSRConf #TrustAndSafety #OnlineSafety #TechPolicy

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Ross Dahlke @rossdahlke.bsky.social · 27/05/2026

New work with @ryanmoore.bsky.social in @digitaljournalism.bsky.social examines Americans' exposure to Pink Slime websites--partisan websites that masquerade as local news--and compares consumption levels to untrustworthy and genuine local news websites doi.org/10.1080/2167...

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Ryan Moore @ryanmoore.bsky.social · 17/03/2026

Excited to visit @uwsjmc.bsky.social to present recent work on short educational videos to improve older adults' digital literacy and information diets, featuring behavioral outcomes in web browsing data and a large-scale field experiment on YouTube. Thanks @rossdahlke.bsky.social for hosting!

An image of a flyer advertising Ryan Moore's upcoming talk entitled "Short Educational Videos Improve Older Adults' Digital Literacy and Information Diets at Scale," held from 1-2pm on March 20 in 5055 Vilas Hall.

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Richard Huskey @richardhuskey.bsky.social · 19/11/2025

Excited to announce the third annual Comm Horizons @ucdavis.bsky.social Conference: Communication in the Age of AI and Algorithms Featuring cutting-edge research and keynotes from Jeff Hancock and @angelhwang.bsky.social Hope you'll submit and share! communication.ucdavis.edu/horizonconf2...

communication.ucdavis.edu

Comm Horizons @ UCD 2026: Communication in the Age of AI and Algorithms

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Ben Lyons @benlyons.bsky.social · 08/07/2025

Updated "Exposure to low-credibility online health content...", now w YouTube data: Older adults consume less YT, but a higher proportion is low-cred. Dubious political news ex is linked w low-cred health ex.. suggests shared consumption profile spans topics + platforms osf.io/preprints/os...

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Tiago Ventura @tiagoventura.bsky.social · 07/10/2025

How common are “survey professionals” - people who take dozens of online surveys for pay - across online panels, and do they harm data quality? Our paper, FirstView at @politicalanalysis.bsky.social, tackles this question using browsing data from three U.S. samples (Facebook, YouGov, and Lucid):

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Stanford Tech Impact and Policy Center @techimpactpolicy.bsky.social · 18/06/2025

Share your voice! Under two weeks left to submit commentary articles to the Journal of Online Trust & Safety for the Trust & Safety Research Conference proceedings in Sept. Authors of accepted commentaries are invited to present at the conference. DEADLINE JULY 1st 🔗 tsjournal.org/index.php/jo...

Cover art of the Journal of Online Trust & Safety showing an abstract blue background of light trails and titles of articles

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Stanford Tech Impact and Policy Center @techimpactpolicy.bsky.social · 25/04/2025

Five days left to apply to present your research at the always sold out 2025 Trust & Safety Research Conference! Got an idea for a research presentation, participant-organized panel, science fair-styled poster or workshop? Show us what you got: Apply: cyber.fsi.stanford.edu/content/trus...

Ronald Robertson standing at a podium, moderating a lightning talk with a panel of presenters speaking to a seated audience

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Harry Yan @harryyan.bsky.social · 18/04/2025

“Detecting Synthetic, Doubting Authentic: AI Attribution Bias for Political Imagery” 📍 Full preprint: osf.io/preprints/os... 🧵 Here’s what we found about how #GenAI is reshaping trust in political visuals during elections: (1/)

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Casey Newton @caseynewton.bsky.social · 25/02/2025

NEW: Google used to warn you when you were seeing low-quality search results. Then, in the weeks leading up to the 2024 election, the company quietly turned that warning off www.platformer.news/google-data-...

The researchers collected their first data in October 2023 and March 2024. Initially, they were struck by how inconsistently Google showed its warnings. A deep learning model they built to analyze the queries suggested that the warnings should have appeared between 29 and 58 times as often as they did in practice. For motivated conspiracy peddlers, they were easy to evade: just adding quotation marks or a single letter to a query was typically enough to make the banner disappear.

The researchers were beginning to collect additional data last September when they discovered something unexpected: Google had stopped showing low-quality banners entirely, weeks before early voting began, without disclosing it.

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Jan Pfänder @janpfa.bsky.social · 21/02/2025

Out in @naturehumbehav.bsky.social Can people tell true from false news? Yes! Our meta-analysis shows that people rate true news as more accurate than false news (d = 1.12) and were better at spotting false news than at recognizing true news (d = 0.32). www.nature.com/articles/s41...

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Richard Huskey @richardhuskey.bsky.social · 08/01/2025

🚨 Join us for #CommHorizons25, hosted by the Department of Communication @ucdavis.bsky.social! Theme: Media, Health, & Society: Exploring Wellbeing Across Lifespans & Diverse Communities Keynotes: Drs. Dana Mastro & @davidmmarkowitz.bsky.social. Info: communication.ucdavis.edu/horizonconf2...

Three books, colored yellow, red, and blue, between a pair of over-the-ear headphones.

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Ross Dahlke @rossdahlke.bsky.social · 11/12/2024

Very happy to say that I passed my PhD dissertation defense, "The Public Sphere in Private Spaces: Politics, News, and Misinformation in Personal Messaging Applications." Grateful for my advisor, committee, and everyone at Stanford

The Public Sphere in Private Spaces: Politics, News, and Misinformation in Personal Messaging Applications

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Tiziano Piccardi @tiziano.bsky.social · 25/11/2024

New paper: Do social media algorithms shape affective polarization? We ran a field experiment on X/Twitter (N=1,256) using LLMs to rerank content in real-time, adjusting exposure to polarizing posts. Result: Algorithmic ranking impacts feelings toward the political outgroup! 🧵⬇️

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Richard Fletcher @richardfletcher.bsky.social · 23/11/2024

New article in Journal of Communication looking at changes to trust in news across 46 countries in the last 10 years. Trust in news declined in just over half of countries. It decreased more in countries where TV news use has declined, and/or where social media news use has grown. A thread:

academic.oup.com

The link between changing news use and trust: longitudinal analysis of 46 countries

Abstract . Changing levels of public trust in the news are of deep concern to both researchers and practitioners. We use data from 2015 to 2023 in 46 count

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NPR @npr.org · 22/11/2024

Nearly half a dozen institutions of higher education announced plans this week to make tuition free for undergraduates whose families make below a certain income threshold, starting in fall 2025.

npr.org

University of Texas, MIT and others announce free tuition for some undergraduates

Nearly half a dozen institutions of higher education announced plans this week to make tuition free for undergraduates whose families make below a certain income threshold, starting in fall 2025.

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Andrew Przybylski @shuhbillskee.bsky.social · 28/11/2023

Excited to share our latest study (feat. @matti.vuorre.com) on Internet & global mental health. We find major shifts in tech and minor variations in well-being across two decades. We aim to describe these trends in the full paper: journals.sagepub.com/doi/10.1177/... #DigitalWellbeing #InternetAge

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Martin Saveski @msaveski.bsky.social · 13/11/2024

[Please reshare] I’m recruiting PhD students to work with me at UW! I’m looking for students passionate about developing new *social media algorithms*, both broadly and within the scope of this NSF grant: tinyurl.com/395yfphd More info: faculty.washington.edu/msaveski/ cc @uwischool.bsky.social

UW campus, Drumheller Fountain and Rainier Vista.

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Ross Dahlke @rossdahlke.bsky.social · 12/11/2024

✨New from @ryanmoore.bsky.social me @peterforberg.bsky.social & Hancock in #CSCW2024. We take a mixed-methods approach to studying American's exposure to QAnon, finding those on the political extremes are most likely to be exposed, but with distinct types of consumers dl.acm.org/doi/10.1145/...

The Private Life of QAnon: A Mixed Methods Investigation of Americans' Exposure to QAnon Content on the Web

Figure 4. Quantitative clusters of those exposed to QAnon websites

Figure 7. Participant 909's QAnon website consumption

Figure 8. Participant 405's Qanon website consumption

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Ross Dahlke @rossdahlke.bsky.social · 29/11/2023

🚨New from me, Kumar, Durumeric & Hancock. We use web-browsing data (N = 21M) to quantify the (in)accessibility of misinformation and news visits, finding that conservative misinformation is most likely to be inaccessible to researchers via scraping doi.org/10.1177/08944393231218214

Quantifying the Systematic Bias in the Accessibility and Inaccessibility of Web Scraping Content From URL-Logged Web-Browsing Digital Trace Data. Abstract:Social scientists and computer scientists are increasingly using observational digital trace data and analyzing these data post hoc to understand the content people are exposed to online. However, these content collection efforts may be systematically biased when the entirety of the data cannot be captured retroactively. We call this often unstated assumption the problematic assumption of accessibility. To examine the extent to which this assumption may be problematic, we identify 107k hard news and misinformation web pages visited by a representative panel of 1,238 American adults and record the degree to which the web pages individuals visited were accessible via successful web scrapes or inaccessible via unsuccessful scrapes.

Note: Hard news webpages: χ2(3) = 745.6, p < .001; Misinformation webpages: χ2(3) = 13.1, p = .005. Distribution of websites in each accessibility category. Accessible websites are those in which the web scrape is successful. Inaccessible websites are those in which the web scrape is unsuccessful. Accessible websites are further categorized into unrestricted content in which the content is not restricted or returns an error, restricted websites in which the content sits behind a paywall, login page, or some other error message on the web page itself, and errors in which the web server returns an HTTP status code greater than 400.

Figure 1. Accessibility category metrics over time.

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Ciara Greene @ciaragreene.bsky.social · 16/11/2023

Delighted to see this paper published at HKS Misinformation Review with Gillian Murphy (not yet on BlueSky!) and a fantastic group of post docs and RAs. This was a huge review examining all misinfo studies published since 2016 misinforeview.hks.harvard.edu/article/what...

Screenshot of title page for article “What do we study when we study misinformation? A scoping review of experimental research (2016-2022)”

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Reposted by Ryan Moore

Ross Dahlke @rossdahlke.bsky.social · 06/11/2023

Excited to be presenting my research on misinformation exposure and effects tomorrow for Democracy Day at Stanford w/ @ryanmoore.bsky.social & Stanford Data Science

Is it fake? Understanding misinformation in politics.

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