André Bittermann

Very clear illustration of the different effects of alternative visualiaations of the same data
www.nature.com/articles/s44...

Comparison of the covid19_preprints, Rxivist, and PreprintToPaper datasets

I just reviewed the article 'PreprintToPaper dataset: connecting bioRxiv preprints with journal publications' by Badalova, Sienkiewicz and Mayr.

Article: arxiv.org/abs/2510.017...

Review: prereview.org/reviews/1762...

@biorxiv-medrxiv.bsky.social
@prereview.bsky.social
#PublishYourReviews

Researchers are often advised to "reveal the person behind the science" in #scicomm to appear more approachable and trustworthy to their audiences. But does this really work? 🤔 In this short piece for Current Opinion in Psych, I review the recent literature... 👇 1/3
doi.org/10.1016/j.co...

We built the openESM database:
▶️60 openly available experience sampling datasets (16K+ participants, 740K+ obs.) in one place
▶️Harmonized (meta-)data, fully open-source software
▶️Filter & search all data, simply download via R/Python

Find out more:
🌐 openesmdata.org
📝 doi.org/10.31234/osf...

📚 The Status Quo of FAIR Data Sharing in Psychology doi.org/10.23668/psy...

“While data sharing has increased, FAIRness remained limited: datasets were generally findable and interoperable but less accessible and reusable.”

This could not be better timing for my R workshop today (incl. how good practice can contribute to FAIR principles) with @entsresearchgroup.bsky.social ! I shall share with the lab group.
⏰ 1-2pm, today
📍 Teams and UoB 10E 3.2

In a new preprint led by @abitter.bsky.social we tested whether open data is useful for reproducibility and usage based on automated and human assessment of data FAIRness. The short answer is: in the majority of cases not really. For more information 👇

Great work by @abitter.bsky.social @mariogollwitzer.bsky.social @kaisassenberg.bsky.social @t-1m.bsky.social et al. on FAIR data sharing in Psychology.

They also suggest 6 simple checks that can be implemented in the editorial process to improve data FAIRness.

FAIRness differed mainly by repository, with GitHub and OSF showing lower median scores than PsychArchives, Zenodo, and Figshare

How FAIR is shared data in psychology?

We analyzed 11,384 datasets (2013–2024): They're findable, but less reusable!

What relates most to differences in FAIRness? #Repository choice.

👉 Preprint: doi.org/10.23668/psy...

@mariogollwitzer.bsky.social @kaisassenberg.bsky.social #metascience #SciSci

If you're interested in #preregistration but don't know where to start, come and join my preregistration workshop at @unicologne.bsky.social in Cologne on Wednesday! We still have open spots. You can register via the link below. ✨ #OpenScience @frederikaust.com

Important observation by Aaron Tay: Articles published by Elsevier and Springer Nature may be increasingly difficult to find. For many of these articles abstracts are not made openly available, limiting article discoverability, in particular using AI tools.

@barcelonadori.bsky.social @oa2020.org

Lucky Coincidences: Experiencing Serendipity in Museums and Beyond Serendipity is the unintentional, accidental discovery of something new or surprising that feels positive and meaningful for the individual. Four studies (N1 = 1638; N2 = 279; N3 = 520; N4 = 452) exa...

✨ LUCKY COINCIDENCES ✨ Have you ever come across a surprising, accidental discovery that felt meaningful and motivated you to further engage with it?
In our new paper now out in JASP (doi.org/10.1111/jasp...), we explore such serendipitous experiences in museums and beyond. 1/5 🧵

New publication!

Matthew Horsey, Kana Imuta and I integrate insights from social, cognitive, political, and developmental psychology and propose a lifespan model of conspiracy belief formation, from infancy, through childhood and adolescence, into adulthood.

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

How much are LLMs changing the language of academic papers after ChatGPT? A multi-database and full text analysis This study investigates how Large Language Models (LLMs) are influencing the language of academic papers by tracking 12 LLM-associated terms across six major scholarly databases (Scopus, Web of Scienc...

"Across databases, delve (+1,500%), underscore (+1,000%), and intricate (+700%) had the largest increases between 2022 and 2024. Growth in LLM-term usage was much higher in STEM fields than in social sciences and arts and humanities" arxiv.org/abs/2509.09596

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...

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 🧵

Generalization bias in large language model summarization of scientific research | Royal Society Open Science Artificial intelligence chatbots driven by large language models (LLMs) have the potential to increase public science literacy and support scientific research, as they can quickly summarize complex sc...

Generative AI is nearly 5 times less accurate than humans.

"In a direct comparison of LLM-generated and human-authored science summaries, LLM summaries were nearly five times more likely to contain broad generalizations (OR = 4.85, 95% CI [3.06, 7.70])."
royalsocietypublishing.org/doi/10.1098/...

Our trained #ML model can be found on PsychArchives: doi.org/10.23668/psy...

It is ready to be applied to other corpora to identify more translational papers.

Great collaboration with @cspetrule.bsky.social, Viktoria Ritter, Anke Haberkamp, Stefan G. Hofmann & @rief01.bsky.social 🙌

Two comments have been published alongside our paper: one by Allison Letkiewicz and Stewart Shankman, and the other by Timothy Strauman. These comments outline future directions and reaffirm the need for translational psychological research.

psycnet.apa.org/PsycARTICLES...

Happy to share that our #bibliometric analysis of #translational psychological treatment is now published OA in the latest issue of @apajournals.bsky.social's Clinical Psychology: Science and Practice! doi.org/10.1037/cps0...

Terminological inconsistency may threaten the progress of the field!

I'm looking forward to giving a keynote at the PMGS Meta Research Symposium 2025, where I will talk about my meta-scientific work on preregistration and and my experiences of being part of the open science movement as an early career researcher!✨ #OpenScience @zpid.bsky.social

A Cross-Sectional Study of the Completeness of Preregistrations by Psychological Authors From German-Speaking Institutions - Lena Hahn, Andreas Glöckner, Mario Gollwitzer, Jens Hellmann, Jens Lange, S... Preregistering confirmatory research aims at reducing researchers’ degrees of freedom and increasing transparency to ultimately increase replicability. Yet the ...

How complete are preregistrations?

Short answer: 53% include all 6 procedural specifications

Medium answer: 🧵

Long answer: check out my publication with A. Glöckner @mariogollwitzer.bsky.social J. Hellmann, J. Lange, S. Schindler & @kaisassenberg.bsky.social

doi.org/10.1177/2515...

I’m excited to share my first first-authored paper with @abitter.bsky.social in the Journal of Happiness Studies:

“The Emotional Climate of Academia: Exploring Social Media Data as an Indicator of Well‑Being.”

📖 Read it here (OA): link.springer.com/article/10.1...

Victims of Conspiracies? An Examination of the Relationship Between Conspiracy Beliefs and Dispositional Individual Victimhood Conspiracy beliefs have been linked to perceptions of collective victimhood. We adopt an individual perspective on victimhood by investigating the relationship between conspiracy beliefs and the indi....

🚨 Fresh off the press 🚨 Our #TISP spin-off paper on the relationship between #ConspiracyBeliefs and individual #victimhood is now out! doi.org/10.1002/ejsp...
1/8 🧵

Simplifying ethics applications and their evaluation 👍

Leibniz Institute for Psychology (ZPID) provides a free webtool for ethics proposals in collaboration with #Chemnitz #University of #Technology
👉 ethiktool.org/en

Thank you @volkswagenstiftung.de
#ethic #psychology #humanities

A Practical Guide and Case Study on How to Instruct #LLMs for Automated Coding During #ContentAnalysis |@mikefarjam.bsky.social, ‪@hendrikmeyer.bsky.social‬, Meike Lohkamp

journals.sagepub.com...

#GenerativeAI

🚨 Big milestone for Rdatasets 🚨

The web archive now hosts 3400+ free and documented CSV datasets. Fantastic for teaching and testing!

And {Rdatasets} is a new #RStats 📦 for easy download and search

Web archive: vincentarelbundock.github.io/Rdatasets

R 📦: vincentarelbundock.github.io/Rdatasetspkg

Been an absolute pleasure presenting our study @icssi.bsky.social today! Looking forward to the upcoming two days!

Today, my dear colleague @annameret.bsky.social presented our work on data sharing in psychology at @icssi.bsky.social ✨We show that open data is findable, but less reusable.
Preprint coming soon, preregistration available on PsychArchives: doi.org/10.23668/psy...

#Metascience #SciSci #ICSSI2025

Is Bluesky a bubble?

We collected all 1B+ posts since Dec'24.

13% of content is political.

We found high polarization, but also strong imbalance: on most topics, the opposing stance made up just 1–2% of users.

Strongest split: Gaza, Ukraine, Musk & Trump

Link: arxiv.org/abs/2506.03443

🔽

Mapping, understanding and reducing belief in misinformation about electric vehicles - Nature Energy Across four countries, more people agree with misinformation statements about electic vehicles than disagree with them, and conspiracist mentality is the strongest predictor of this agreement. Interac...

🥳New paper on belief in #misinformation about electric vehicles led by Chris Bretter w Sam Pearson, Matthew Hornsey, Belinda Wade & Kevin Winter out in @natenergy.nature.com. Conspiracy beliefs are the strongest predictor and #ChatGPT helps to reduce belief in misinformation
doi.org/10.1038/s415...