Lightnews — Scholar-powered news

Reposted by André Bittermann

Ludo Waltman @ludowaltman.bsky.social · 7d

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

Aaron Tay @aarontay.bsky.social · 7d

[blogged] The Petrol Tank for AI Discovery Might be Running Dry as Publishers close access to scholarly content such as abstracts due to AI incentives aarontay.substack.com/p/the-petrol... - an analysis of OpenAlex abstract coverage changes for Elsevier & Springernature

The Petrol Tank for AI Discovery Might be Running Dry as Publishers close access to scholarly content such as abstracts due to AI incentives

Elicit.com, Consensus, and Undermind.ai are among the new leading comprehensive cross-disciplinary “AI-powered academic search engines” today.

aarontay.substack.com

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Marlene Altenmüller @marlephie.bsky.social · 17d

✨ 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 🧵

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...

doi.org

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Kinga Bierwiaczonek @kbierwiaczonek.bsky.social · 17d

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...

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Andrey Lovakov @lovakov.bsky.social · 20d

"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

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...

arxiv.org

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Jamie Cummins @jamiecummins.bsky.social · 21d

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

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Andrey Lovakov @lovakov.bsky.social · May 20

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/...

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...

royalsocietypublishing.org

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André Bittermann @abitter.bsky.social · 22d

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 🙌

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André Bittermann @abitter.bsky.social · 22d

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...

APA PsycNet

psycnet.apa.org

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André Bittermann @abitter.bsky.social · 22d

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!

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Lisa Spitzer @lspitzer.bsky.social · Aug 21

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

Daniel Lakens @lakens.bsky.social · Aug 20

The full program for the PMGS Meta Research Symposium 2025 is online: docs.google.com/document/d/1... If you are interested in causal inference, systematic review, hypothesis testing, and preregistration, join is October 17th in Eindhoven! Attendance is free!

Meta Research Symposium 2025 PMGS

PMGS Meta Research Symposium 2025 16-17 October 2025, TU/e Eindhoven Conference website: https://paulmeehlschool.github.io/workshops/ Program Day 1 - Pre-Symposium Mini-Workshop Time Activity…

docs.google.com

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Lena Hahn @lenahahn.bsky.social · Aug 18

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...

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 ...

doi.org

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Sarah Müller @sarahmlr.bsky.social · Jul 23

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...

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Marlene Altenmüller @marlephie.bsky.social · Jul 18

🚨 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...
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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....

doi.org

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Leibniz-Institut für Psychologie (ZPID) @zpid.bsky.social · Jun 26

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

Ethiktool - Main page

ethiktool.org

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Bob E Hayes @bobehayes.bsky.social · Jun 26

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

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Vincent Arel-Bundock @vincentab.bsky.social · Jun 6

🚨 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

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Anna @annameret.bsky.social · Jun 16

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

André Bittermann @abitter.bsky.social · Jun 16

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

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André Bittermann @abitter.bsky.social · Jun 16

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

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Ali S. @finaali.bsky.social · Jun 9

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

🔽

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Kai Sassenberg @kaisassenberg.bsky.social · Jun 9

🥳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...

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...

doi.org

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Mark A. Hanson @hansonmark.bsky.social · Jun 10

New from The Strain Team:
🎊 Springer Nature Discovers MDPI 🎊

Springer Nature has spawned a copycat journal series called "Discover" mimicking #MDPI journal titles and citation behaviours. We even made a browser game to prove it (see 🔗).

Gross! 😀 1/n

#ResearchIntegrity #SciPub #AcademicSky

Spinger Nature Discovers MDPI – The Strain on Scientific Publishing

Home page for the paper ‘The Strain on Scientific Publishing’ by Mark A Hanson, Dan Brockington, Paolo Crosetto and Pablo Gomez Barreiro

the-strain-on-scientific-publishing.github.io

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André Bittermann @abitter.bsky.social · Jun 7

Related to the simple contagion: We had examined the academic Twitter migration to Mastodon using social impact theory (doi.org/10.23668/psy...), and found that the number of sources was more important than the influence of single researchers or the similarity between followers and followees.

Social Influence in the Academic Twitter Migration to Mastodon: A Computational Psychology Approach | PsychArchives

doi.org

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André Bittermann @abitter.bsky.social · Jun 7

Really cool work, and impressing matching procedure. Are you planning to share the account links between X, Bluesky, and OpenAlex? Like an extended Mongeon dataset; that would be awesome for future research on academic solcial networks 🙂

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Prashant Garg @prashantgarg.bsky.social · Jun 3

1/ 🚨 Hot off the press! Our study “Political Expression of Academics on Social Media” with @trfetzer.com is now peer-reviewed & live in Nature Human Behaviour @nature.com 🎉. Thread 👇

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Jay Van Bavel, PhD @jayvanbavel.bsky.social · Jun 4

An analysis of ~100,000 academics finds that a small subset of academics generate majority of social media posts.

That vocal minority can skew how the public—and even journalists—infer “academic consensus,” potentially fueling false perceptions. www.nature.com/articles/s41...

Political expression of academics on Twitter - Nature Human Behaviour

An analysis of nearly 100,000 academics on Twitter reveals strong progressive stances on climate and social issues, driven by a small, vocal subset. The study highlights potential gaps between academi...

www.nature.com

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