Eric Hehman
LightNews LightNews
banner
erichehman.bsky.social
Eric Hehman
@erichehman.bsky.social
2.3K followers 200 following 220 posts

prejudice, person perception at McGill | https://prejudicemap.org

Videos
Psychology 43%
Neuroscience 16%
Posts Replies Media Videos
Pinned
erichehman.bsky.social
Eric Hehman @erichehman.bsky.social · 14d
New paper led by Kelsey Neuenswander looking at perceptual exposure to fat/thin bodies and anti-fat attitudes.
www.nature.com/articles/s44...
Perceptual exposure influences body size perceptions and anti-fat attitudes - Communications Psychology
Repeated visual exposure to bodies of varying sizes alters cognitive representations of weight and may influence anti-fat attitudes over time.
www.nature.com

Reposted by Mark J. Brandt, Eric Hehman

iscon.bsky.social
ISCON @iscon.bsky.social · 1d
ISCON and PMIG call for nominations for the Ostrom Award for Career Contribution to Social Cognition.

Eligibility: 25 years post PhD (awards are not given posthumously).

More detail here:
www.socialcognition.net/ostrom-award

1/2
Ostrom Award | Home
www.socialcognition.net

erichehman.bsky.social
Eric Hehman @erichehman.bsky.social · 1d
Applications considered beginning on April 24 and continue on a rolling basis until the position is filled.

Would appreciate a share!
Also I'll be at SPSP in a few weeks, please reach out if you want to chat about the position

Reposted by Gordon Pennycook, Linda J. Skitka, Mark J. Brandt , and 5 more

erichehman.bsky.social
Eric Hehman @erichehman.bsky.social · 1d
Postdoc position!

Myself and @jordanaxt.bsky.social are seeking applications for a shared post-doctoral researcher at McGill, beginning Fall 2026.

Topic area broadly centered on intergroup dynamics, prejudice, discrimination

Full description here: hehmanlab.org/ad
1/2
ad
hehmanlab.org

Reposted by Eric Hehman, Colin Tucker Smith

jenikubota.bsky.social
Jeni Kubota @jenikubota.bsky.social · 2d
About 10 years ago, I set out to better understand the drivers of radicalization and deradicalization into white supremacy. Work from our endeavors is starting to come out, and I am no longer concerned about sharing it.

I want to share the findings from one of these studies, published last March. 🧵

erichehman.bsky.social
Eric Hehman @erichehman.bsky.social · 6d
Then again, my brain lets me drink

Reposted by Mark J. Brandt, David Chester

erichehman.bsky.social
Eric Hehman @erichehman.bsky.social · 6d
New paper on planned missingness. Recently been liking the approach of planned missingness in a survey -> FIML to estimate constructs.

psycnet.apa.org/fulltext/202...
psycnet.apa.org

Reposted by Jordan Axt, Melanie C. Green

erichehman.bsky.social
Eric Hehman @erichehman.bsky.social · 8d
McGill is hiring a faculty lecturer in social psychology, in a (non-adjunct) permanent teaching position.

Please consider being my colleague, Montreal is really great: mcgill.wd3.myworkdayjobs.com/en-US/McGill...
Faculty Lecturer - Department of Psychology
Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position at ...
mcgill.wd3.myworkdayjobs.com

erichehman.bsky.social
Eric Hehman @erichehman.bsky.social · 14d
The followup longitudinal experiment provides causal evidence that exposure to thin bodies leads to an increased likelihood of categorizing bodies as fat, while exposure to fat bodies reduces this likelihood.

erichehman.bsky.social
Eric Hehman @erichehman.bsky.social · 14d
Study 2 is particularly cool, capitalized on France's ban of underweight models in 2015 to test the possibly causal relationship between the policy and anti-fat attitudes (which decrease after the ban).

erichehman.bsky.social
Eric Hehman @erichehman.bsky.social · 14d
This paper is pretty neat because it combines correlational (regional variation), quasi, and experimental work to examine anti-fat attitudes.
Can see regional variation in anti-fat attitudes here prejudicemap.org which correlate with regional obesity rates
Prejudice Map
prejudicemap.org

Reposted by Linda J. Skitka

erichehman.bsky.social
Eric Hehman @erichehman.bsky.social · 15d
This figure and the size of the correlation continues to blow me away

Reposted by Brian A. Nosek, Andrew K Przybylski, Ingo Rohlfing , and 1 more

vtraag.bsky.social
Vincent Traag @vtraag.bsky.social · 17d
📣 Our introduction to structural causal models in science studies is now published:
doi.org/10.1162/QSS....

@tklebel.bsky.social and I tried to make our introduction as accessible as possible. We illustrate the theory by three case studies based on a simulated model of Open Science. 🧵(1/6)

Reposted by Mark J. Brandt, Eric Hehman, Jill A. Jacobson , and 1 more

natehaines.bsky.social
Nathaniel Haines @natehaines.bsky.social · 17d
1/9 New blog is live! This is part 2 of a series—last time we looked at the Dunning-Kruger effect, now we are digging in to Implicit vs Explicit attitudes and the Implicit Association Test. To start, of course we need a good meme...

haines-lab.com/post/part-2-...

Reposted by Mark Rubin, Eric Hehman

gordonhodsonphd.bsky.social
Gordon Hodson @gordonhodsonphd.bsky.social · 22d
#AcademicSky #PrejudiceResearch

New paper out by Paolini et al. on habit-ruptures in intergroup contact

www.nature.com/articles/s44...

(If you like that, our also team has a related paper in press at American Psychologist, led by Rose Meleady)
psycnet.apa.org/record/2026-...
Towards a habit-rupture model of intergroup contact in everyday settings - Nature Reviews Psychology
The literature assumes that intergroup contact is naturally occurring, positive and consistently associated with positive outcomes, but these premises are inconsistent with everyday intergroup contact...
www.nature.com

Reposted by Brian A. Nosek, Eric Hehman

datarescueproject.org
Data Rescue Project #DataRescue @datarescueproject.org · 23d
Looking for data that the government is pulling down? We may have it backed up for you. Check our portal: portal.datarescueproject.org

Know of data being taken down or worried about a data source? Let us know: baserow.datarescueproject.org/form/r7V1c44...

erichehman.bsky.social
Eric Hehman @erichehman.bsky.social · Jan 10
I appreciate the sharing jay van bavel

Reposted by Elizabeth Stokoe, Calvin K. Lai, David Chester , and 2 more

jayvanbavel.bsky.social
Jay Van Bavel, PhD @jayvanbavel.bsky.social · Jan 8
We should no longer trust data collected on MTurk
link.springer.com/article/10.3...

My guess is that other online data is going to drop in quality due to LLMs. This is going to be an existential crisis for the behavioral sciences.

erichehman.bsky.social
Eric Hehman @erichehman.bsky.social · Jan 7
It only finds him ok!

erichehman.bsky.social
Eric Hehman @erichehman.bsky.social · Jan 7
63% (!!) of the emails asking me about applying to my lab this year started with verbatim "I hope this email finds you well."

Was not the case last year.

Reposted by Brian A. Nosek, Calvin K. Lai, Kate A. Ratliff , and 1 more

projectimplicit.bsky.social
Project Implicit @projectimplicit.bsky.social · Jan 6
Project Implicit is a research nonprofit behind tools millions use to understand bias. Like many public science orgs, sustaining this work has become increasingly difficult. We are at risk of closing without additional support.

Help protect this impt work by donating here: 4agc.com/donate/impli...

Reposted by Jonathan Portes, Anna O. Law, Gordon Pennycook , and 20 more

mclem.org
Michael Clemens @mclem.org · Jan 6
A new paper by George Borjas—who served this past year in the Trump White House designing some of its anti-immigration policies—claims to display evidence of ideological bias among researchers who study immigration.

doi.org/10.1126/scia...

🧵 Thread—>

Reposted by Eric Hehman

markusbrauer.bsky.social
Markus Brauer @markusbrauer.bsky.social · Jan 6
🚨 New paper out in PSPB! 🚨 We found that an “Inclusivity Page” that instructors in the intervention condition added to their course syllabi resulted in better grades among students from marginalized groups. journals.sagepub.com/doi/10.1177/...
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
journals.sagepub.com

Reposted by Robb Willer, Eric Hehman

ericdknowles.bsky.social
Eric Knowles @ericdknowles.bsky.social · Jan 4
For researchers interested in semantic change over years and decades...

I've created a toolkit — lexichron — for measuring long-term shifts in word meanings using Google Ngrams and other corpora (e.g., COHA, COCA).

Here's the public GitHub repo:
github.com/eric-d-knowl...

🧵
GitHub - eric-d-knowles/lexichron
Contribute to eric-d-knowles/lexichron development by creating an account on GitHub.
github.com

Reposted by Eric Hehman

fartinvanburen.bsky.social
Fartin Van Buren @fartinvanburen.bsky.social · Dec 30
What if we had law journals run by people who weren’t literal law students

erichehman.bsky.social
Eric Hehman @erichehman.bsky.social · Dec 28
I have todd heathertons toaster. Def weird but makes a good toast.
mattsargent.bsky.social Matt Sargent @mattsargent.bsky.social · Dec 28
My mentor James Sellars once asked me "Who are your influences?" I said John Cage. He vaguely gestured toward his patio: "Those are John Cage's houseplants."
jowiph.bsky.social Jon Phillips @jowiph.bsky.social · Dec 28
"I own William Faulker's cake knife," a sentence that is both straightforward and true, and yet sounds completely deranged

Reposted by Eric Hehman

mattsargent.bsky.social
Matt Sargent @mattsargent.bsky.social · Dec 28
My mentor James Sellars once asked me "Who are your influences?" I said John Cage. He vaguely gestured toward his patio: "Those are John Cage's houseplants."
jowiph.bsky.social Jon Phillips @jowiph.bsky.social · Dec 28
"I own William Faulker's cake knife," a sentence that is both straightforward and true, and yet sounds completely deranged

Reposted by Eric Hehman

afhayes.bsky.social
Andrew F. Hayes @afhayes.bsky.social · Dec 18
Associate or Full professor not working in Canada? Canada (McGill) wants you.
handle.invalid McGill University @handle.invalid · Dec 18
McGill is recruiting top-tier researchers working abroad through the federally funded Canada Impact+ Research Chairs program, addressing global and national challenges. The first round is due in early 2026.

Learn more and submit your candidacy: https://mcgill.ca/x/5Zh
McGill’s Arts Building on campus, featuring its stone façade and green dome, with the McGill flag raised and autumn foliage surrounding the building.

Reposted by Alexander Wuttke, Cameron Brick, Ian Hussey , and 3 more

ruben.the100.ci
Ruben C. Arslan @ruben.the100.ci · Dec 18
Finally, @bjoernhommel.bsky.social's and my paper introducing the SurveyBot3000 is officially out in AMPPS. It's a fine-tuned language model that guesstimates correlations between survey items from text alone. Not perfectly, but useful for search, for example.
journals.sagepub.com/doi/10.1177/...
Fig. 3. Scatter plots of the synthetic and empirical estimates, validation study (Stage 2). Showing N = 30,135 item-pair correlations, N = 257 scale reliabilities, and N = 1,568 scale-pair correlations for (top) the pretrained SBERT model and (bottom) the fine-tuned SurveyBot3000 model. SBERT = all-mpnet-base-v2 model. Fig. 4. Prediction error of the synthetic estimates, validation study (Stage 2). Our prediction model allowed the error term to vary freely according to the predictor, the synthetic estimate. The thin-plate splines show that some synthetic estimates were predictably more accurate. Fig. 5. Accuracy by domain. Accuracy differed across domains. SurveyBot3000 accuracy (colored) was always higher than SBERT accuracy (gray). Results were largely consistent whether accuracy of items was tested (left, circle) within domains or (right, cross) across domains. Fig. 1. Multistep training procedure for the SurveyBot3000, which produces synthetic estimates of interitem correlations. (a) Pretraining base model (SBERT). (b) Fine-tuning SurveyBot3000. (c) Validation. SBERT = all-mpnet-base-v2 model.

Reposted by Robert Böhm, Brady T. West, Brendan Nyhan , and 43 more

sabrinanorwood.bsky.social
Sabrina Norwood @sabrinanorwood.bsky.social · Dec 16
Did you know that from tomorrow, Qualtrics is offering synthetic panels (AI-generated participants)?

Follow me down a rabbit hole I'm calling "doing science is tough and I'm so busy, can't we just make up participants?"
Text reads: About synthetic panels Recruiting the right participants for a study can be difficult. You may not get the exact demographics you need, and the shorter the deadline, the less sure you can be that everyone will answer on time. One possible solution can be to use synthetic panels. Synthetic panels are powered by a first party proprietary AI model developed here at Qualtrics. Our synthetic panel is trained on thousands of responses from a variety of demographic backgrounds in order to more accurately predict how certain populations would respond to a survey. Our synthetic panel is based on the United States General Population, and is only available in English. This panel comes with ready-made quotas and target breakouts in order to represent your chosen population and make it easy to launch your survey right away. Text reads: Question-writing best practices To get the most reliable and actionable results from synthetic audiences, consider these question-writing best practices: Ask forward-looking and attitudinal questions. Synthetic panels perform best with perceptions, preferences, and intent-based questions. For example, “How likely are you to try…?” Synthetic panels are less applicable for studies on past behaviors, detailed recall, brand recall, or awareness questions. For example, “When did you last visit…?” Text reads: Discussion The current study aimed to conduct a meta-analysis of the TPB when applied to health behaviours which addressed the limitations of previous reviews by including only prospective tests of behaviour, applying RE meta-analytic procedures, correcting correlations for sampling and measurement error, and hierarchically analysing the effect of behaviour type and sample and methodological moderators. Some 237 tests were identified which examined relations amongst model components. Overall the analysis indicated that the TPB could explain 19.3% of the variance in behaviour and 44.3% of the variance in intention across studies. This level of prediction of behaviour is slightly lower than that of previous meta-analytic reviews which have found between 27% (Armitage & Conner, 2001; Hagger et al., 2002) and 36% (Trafimow et al., 2002) of the variance in behaviour to be explained by intention and PBC.