Ryan Moore
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ryanmoore.bsky.social
Ryan Moore
@ryanmoore.bsky.social
400 followers 470 following 1 posts
Assistant Professor @ UT Austin School of Information

website: https://ryanmoore.science/
Posts Replies Media Videos
Reposted by Ryan Moore
richardhuskey.bsky.social
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...
Comm Horizons @ UCD 2026: Communication in the Age of AI and Algorithms
communication.ucdavis.edu
November 19, 2025 at 4:35 PM
Reposted by Ryan Moore
benlyons.bsky.social
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...
July 8, 2025 at 7:59 PM
Reposted by Ryan Moore
tiagoventura.bsky.social
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):
October 7, 2025 at 6:49 PM
Reposted by Ryan Moore
techimpactpolicy.bsky.social
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
June 18, 2025 at 4:13 PM
Reposted by Ryan Moore
techimpactpolicy.bsky.social
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
April 25, 2025 at 3:23 PM
Reposted by Ryan Moore
harryyan.bsky.social
“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/)
April 18, 2025 at 9:11 PM
Reposted by Ryan Moore
caseynewton.bsky.social
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.
February 25, 2025 at 1:46 AM
Reposted by Ryan Moore
janpfa.bsky.social
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...
February 21, 2025 at 10:33 AM
Reposted by Ryan Moore
richardhuskey.bsky.social
🚨 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.
January 8, 2025 at 4:37 PM
Reposted by Ryan Moore
rossdahlke.bsky.social
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 Data & Procedure Committee group picture Abstract
December 11, 2024 at 10:56 PM
Reposted by Ryan Moore
tiziano.bsky.social
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! 🧵⬇️
November 25, 2024 at 8:32 PM
Reposted by Ryan Moore
richardfletcher.bsky.social
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:
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
academic.oup.com
November 23, 2024 at 7:50 AM
Reposted by Ryan Moore
npr.org
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.
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.
www.npr.org
November 22, 2024 at 9:26 PM
Reposted by Ryan Moore
shuhbillskee.bsky.social
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
November 28, 2023 at 7:42 AM
Reposted by Ryan Moore
msaveski.bsky.social
[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.
November 13, 2024 at 9:10 AM
Reposted by Ryan Moore
rossdahlke.bsky.social
✨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
November 12, 2024 at 6:55 PM
Reposted by Ryan Moore
rossdahlke.bsky.social
🚨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. Figure 2
November 29, 2023 at 6:14 PM
Reposted by Ryan Moore
ciaragreene.bsky.social
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)”
November 16, 2023 at 12:02 AM
Reposted by Ryan Moore
rossdahlke.bsky.social
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.
November 6, 2023 at 3:17 PM