Really thought-provoking piece from Jana Dombrowski and @sabinetrepte.bsky.social! β³
www.tandfonline.com/doi/full/10....
Really thought-provoking piece from Jana Dombrowski and @sabinetrepte.bsky.social! β³
www.tandfonline.com/doi/full/10....
The SPECIEs Lab (Psychology department - UArizona) is looking for a postdoctoral fellow to join the team (please share)!
Start date: Summer-Fall 2026
Review: until filled
Duration: 3-years
Materials: 1-2 page cover letter, CV, 2-3 reference contacts
Send materials to: dguevarabeltran@arizona.edu
This plot shows the number of users in the Study 1 sample that self-described as 'addicted' to Instagram versus those who were 'at risk' of clinical addiction. The ratios for the addiction symptom scale are 9:371 and for the perceived addiction 69: 311, suggesting a much greater proportion of users self-perceive as addicted than are actually addicted to Instagram
Excited to see these studies (finally) published in Scientific Reports! π¨
S1: More social media users perceived themselves as addicted than met clinical addiction criteria.
S2: Increasing perceived addiction hurt perceived control over use and increased self-blame for overuse.
Thread below... π§΅
π£ Digital Research Community!
The new UK Adolescent Health Study will follow 100k young people (8β18yrs) for 10+ years. Please share what digital technology measures you think it should include.
Please complete this survey (by 24th November 2025 @ 9AM): cambridge.eu.qualtrics.com/jfe/form/SV_...
Do you teach #rstats? Do your students complain about how lame and old-fashioned dplyr is? Don't worry: I have the solution for you: github.com/hadley/genzp....
genzplyr is dplyr, but bussin fr fr no cap.
Is social media dying? How much has Twitter changed as it became X? Which party now dominates the conversation?
Using nationally representative ANES data from 2020 & 2024, I map how the U.S. social media landscape has transformed.
Here are the key take-aways π§΅
arxiv.org/abs/2510.25417
We built the openESM database:
βΆοΈ60 openly available experience sampling datasets (16K+ participants, 740K+ obs.) in one place
βΆοΈHarmonized (meta-)data, fully open-source software
βΆοΈFilter & search all data, simply download via R/Python
Find out more:
π openesmdata.org
π doi.org/10.31234/osf...
π‘Pub alert π‘
Why do users stop a media activity?
Today I presented "101 reasons to stop: A systematic review of media cues for disengagement" at #CHIGreece2025 ποΈ
The full paper - the 3rd of my PhD thesis - is now available #openaccess at
dl.acm.org/doi/10.1145/...
Summary below β¬οΈ
Great position paper on challenges (and possible solutions) on theorizing in media psychology by @adrianmeier.bsky.social and @dpossler.bsky.social in the first panel of #mediapsych25 #MePsy25
More mainstream psychology, but C. Sedikides and collaborators may have a paper
What are social media? Seems obvious, right? #TikTok? Definitely. #LinkedIn? Sure. #Facebook? Yes. #YouTube? Well⦠maybe less clear?
In our @everydaymedialab.bsky.social project(lead @larawolfers.bsky.social) we suggest a framework for researchers #transparency
academic.oup.com/anncom/advan...
A key axiom in media effects research is that effects are nuanced, varied, and indirect. Although this is true ontologically, asking for ever-more βnuancedβ analyses of media effects is problematic epistemologically as it stands in the way of more insightful, falsifiable, and robust theorizing. For this reason, we advocate a shift in research priorities and propose four guidelines for future research: 1. Value description; 2. Prioritize regularities; 3. Formalize models; 4. Unify theories. A collective effort along these lines will allow for better cumulative theorizing and, in turn, a stronger understanding and explanation of media effects.
New Preprint: "A Simple Future For Media Effects"
@lennertcoenen.bsky.social, @yesuncomm.bsky.social, & I critically discuss our field's current emphasis on complexity.
Instead, we argue to value description, prioritize regularities, formalize models, and unify theories.
osf.io/preprints/os...
People often overestimate how many others share their viewsβa phenomenon known as the false consensus effect.
In a new article in @ispp-pops.bsky.social, @clandwehr.bsky.social, Philipp Harms and I show that this tendency is associated with stronger populist attitudes: doi.org/10.1111/pops....
Call for collaborators!
We are launching the Replicability Project: Health Behavior (RPHB) to replicate a sample of findings relevant to public health, epidemiology, health policy, and behavioral science.
Teams receive funding for conducting replication studies.
Details: www.cos.io/rphb
Thanks for organizing! @ericabailey.bsky.social
I found an asymmetry in how people perceive themselves vs others on social media. The findings suggest that misperceptions derived from social media may extend beyond morality/politics toward how we view persons. Presenting data blitz @ Authenticity Precon
@spspnews.bsky.social #socialpsych #spsp
Preprint available: www.researchgate.net/publication/...
Bad weather causes people to use social media more.
Evidence in new psych science paper by @keltonminor.bsky.social @estebanmoro.bsky.social Nick Obradovich, including evidence within individuals overtime. journals.sagepub.com/doi/10.1177/...
Are age restrictions really the best we can do? Or are there better ways to improve the impact of social media on youth well-being? Join us in finding out! Iβm seeking a PhD student to support the collaborative PROMISE project πͺπΊ More info: www.commsci.rw.fau.eu/team/job-pos... Thanks for sharing!
New paper out in @ScienceMagazine! In 8 studies (multiple platforms, methods, time periods) we find: misinformation evokes more outrage than trustworthy news, when it does it's shared more + ppl are less likely to read before sharing. w/ @killianmcl1 @Klonick @mollycrockett π§΅π