Ozan Kuru
@ozankuru.bsky.social
270 followers 780 following 49 posts
Assistant Professor, National University of Singapore Bio: https://discovery.nus.edu.sg/18898-ozan-kuru Google Scholar: https://scholar.google.com/citations?user=T6KRMogAAAAJ&hl=en ResearchGate: https://www.researchgate.net/profile/Ozan-Kuru
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Reposted by Ozan Kuru
poqjournal.bsky.social
Do different survey modes affect respondents' discomfort?

As live-video surveys become commonplace, Okon et al. shed light on what this means for data collection.

Read now: doi.org/10.1093/poq/...
Reposted by Ozan Kuru
absolutely-not.bsky.social
i looked at the methodology for this and it is
a. sex addiction counseling group in texas did a surveymonkey and extrapolated the results to the entire us population which is the sort of research design that earns you an ff on an intro methods class (the extra f is for extra effort), and
b. p-hacked
the-independent.com
Nearly a third of Americans have had a ‘romantic relationship’ with an AI bot, new survey says
1 in 3 Americans have had a ‘romantic relationship’ with an AI bot, new survey says
www.independent.co.uk
Reposted by Ozan Kuru
dingdingpeng.the100.ci
A lot of psych is already conducted with online convenience samples & ppl are probably excited about silicon samples bc it would allow them to crank out more studies for even less 💸

How about we reconsider the idea that sciencey science involves collecting own data.
www.science.org/content/arti...
AI-generated ‘participants’ can lead social science experiments astray, study finds
Data produced by “silicon samples” depends on researchers’ exact choice of models, prompts, and settings
www.science.org
Reposted by Ozan Kuru
chanda.blacksky.app
YES! THIS on GenAI!

Please read this absolutely splendid piece of writing that had me cheering, a little bit weepy, and writing in the margins:

"An extraordinary amount of money is spent by the AI industry to ensure that acquiescence is the only plausible response. But marketing is not destiny."
Large Language Muddle | The Editors
The AI upheaval is unique in its ability to metabolize any number of dread-inducing transformations. The university is becoming more corporate, more politically oppressive, and all but hostile to the ...
www.nplusonemag.com
Reposted by Ozan Kuru
tabouchadi.bsky.social
Now out in @cpsjournal.bsky.social. In our new article, @denis-cohen.bsky.social @thmskrr.bsky.social and I show that where local rent prices increase more, residents with lower incomes become more likely to support the radical right AfD.

journals.sagepub.com/doi/10.1177/...
Reposted by Ozan Kuru
caulfieldtim.bsky.social
The Truth is Out There! www.ualberta.ca/en/newtrail/... via @ualbertalaw.bsky.social

Nice piece on my recent book. 🙏

My advice on avoiding harmful bunk:

1) Don’t be too cynical
2) Watch for emotional triggers
3) Read beyond the headline
4) Beware of “sciencey” language
5) Avoid the Galileo gambit
The Truth is Out There, and We Trust It
www.ualberta.ca
ozankuru.bsky.social
"While accurate information and social support were shared, a notable part of commercial messages and AH treatments offered for COVID-19 included misleading and unverified claims."
Reposted by Ozan Kuru
jamiecummins.bsky.social
Can large language models stand in for human participants?
Many social scientists seem to think so, and are already using "silicon samples" in research.

One problem: depending on the analytic decisions made, you can basically get these samples to show any effect you want.

THREAD 🧵
The threat of analytic flexibility in using large language models to simulate human data: A call to attention
Social scientists are now using large language models to create "silicon samples" - synthetic datasets intended to stand in for human respondents, aimed at revolutionising human subjects research. How...
arxiv.org
Reposted by Ozan Kuru
magdalenasaldan.bsky.social
#NewPaper is out! With #NucleoMEPOP coauthors Claudia Lagos and @karengheza.bsky.social, led by the amazing Isabel Pavez in @jmcquarterly.bsky.social ❤️

journals.sagepub.com/doi/10.1177/...

Thread below 👇
Reposted by Ozan Kuru
conradhackett.bsky.social
Americans who say there's a lot of discrimination against people who are:
In US illegally 57%
Transgender 48%
Gay or lesbian 37%
Black 36%
Muslim 34%
Hispanic 34%
Jewish 30%
Immigrants in US legally 29%
Women 22%
Asian 21%
Religious 17%
Older 16%
Evangelical 13%
White 12%
Men 10%
Atheist 7%
Chart shows Majorities of Americans say many groups in U.S. society face at least some discrimination  Large majorities of Americans say numerous groups in the United States face at least some discrimination, including immigrants, transgender people and members of different racial and religious groups.   About eight-in-ten (82%) say immigrants who are in the U.S. illegally experience a lot of or some discrimination – including 57% who say they face a lot of discrimination, according to a new Pew Research Center survey of U.S. adults.  That is the highest share for any group among 20 included in the survey. Still, there is a widespread belief that many other societal groups also are discriminated against:  77% say people who are transgender face at least some discrimination, with 48% saying this group experiences a lot of discrimination. 74% say Muslims in the U.S. face a lot of or some discrimination, while a similar share (72%) say Jews face at least some discrimination. Roughly a thi
Reposted by Ozan Kuru
taberez.bsky.social
I am pleased to share the latest issue of The International Journal of Press/Politics, which features Special Issue articles from the 2023 #IJPP conference, University of Edinburgh & several open access articles.

Link journals.sagepub.com/toc/HIJ/curr...
Reposted by Ozan Kuru
simonchauchard.bsky.social
Missed it in august! But this (with @sumitra.bsky.social) also is out at @bjpols.bsky.social

We map how religious beliefs and identities affect the endorsement of falsehoods, and use an experiment in India to test. More to do on the contextual drivers of misinfo, but this is a start. Check it :)
bjpols.bsky.social
NEW -

The Religious Roots of Belief in Misinformation: Experimental Evidence from India - cup.org/472gDEr

- @simonchauchard.bsky.social & @sumitra.bsky.social

#OpenAccess
BJPolS abstract discussing the role of religion in misinformation and polarization, specifically within the context of India. The text highlights methods and findings from a study exploring how religious identities can amplify or reduce the effects of misinformation.
Reposted by Ozan Kuru
stewartcoles.bsky.social
New study examines how people evaluate online ads as "political": source cues, message strength (i.e., persuasive intent), and uncongenial messages. All addressed by the politically relevant media model (PRMM) and why asking if a media text is "political" may not be the best measure.
Reposted by Ozan Kuru
olivia.science
I collected some materials on critical AI from my perspective; hope it's useful: olivia.science/ai

"CAIL is as an umbrella for all the prerequisite knowledge required to have an expert-level critical perspective, such as to tell apart nonsense hype from true theoretical computer scientific claims"
Reposted by Ozan Kuru
margaretrroller.bsky.social
For the first time, a special issue of @poqjournal.bsky.social devoted to #qualitative research! The 2025 special issue: Qualitative Research: Advancing the Social & Behavioral Sciences - Articles using a quality approach to study the vulnerable, sensitive topics & QDA bit.ly/POQQRissue
Public Opinion Quarterly Makes History with This 2025 Special Issue
For the First Time, a Special Issue of Public Opinion Quarterly Devoted to Qualitative Research Qualitative Research: Advancing the Social & Behavioral Sciences Public Opinion Quarterly has bee…
bit.ly
Reposted by Ozan Kuru
golareh.bsky.social
ICYMI: If you’re working or are planning on working with Google Trends Data for research, make sure to read this article by @floriankeusch.bsky.social & co-authors. They explore common pitfalls, incl. construct validity and reliability, and show how to improve data quality to enhance robustness.
The (mis)use of Google Trends data in the social sciences - A systematic review, critique, and recommendations
Researchers increasingly use aggregated search data from Google Trends to study a wide range of phenomena. Although this new data source possesses som…
www.sciencedirect.com
Reposted by Ozan Kuru
devinasarwatay.bsky.social
Fab researchers at the National Literacy Trust launched new research asking: What does AI mean for the future of literacy?

New findings offer insight into how young people & teachers use genAI & whether literacy skills can support a more critical approach

More: literacytrust.org.uk/ai-and-literacy
Reposted by Ozan Kuru