André Bittermann
@abitter.bsky.social
Senior researcher @zpid.bsky.social, PhD, psychologist, interested in Metascience, Text as Data, Bibliometrics, Computational Psychology
Pinned
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
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
Reposted by André Bittermann
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...
doi.org/10.1016/j.co...
Redirecting
doi.org
November 3, 2025 at 1:01 PM
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...
doi.org/10.1016/j.co...
Reposted by André Bittermann
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...
▶️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...
October 22, 2025 at 7:34 PM
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...
▶️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...
Reposted by André Bittermann
📚 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.”
“While data sharing has increased, FAIRness remained limited: datasets were generally findable and interoperable but less accessible and reusable.”
The Status Quo of FAIR Data Sharing in Psychology | PsychArchives
PsychArchives is a disciplinary repository for psychological science and neighboring disciplines.
doi.org
October 22, 2025 at 11:52 AM
📚 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.”
“While data sharing has increased, FAIRness remained limited: datasets were generally findable and interoperable but less accessible and reusable.”
Reposted by André Bittermann
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
⏰ 1-2pm, today
📍 Teams and UoB 10E 3.2
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
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
October 21, 2025 at 11:08 AM
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
⏰ 1-2pm, today
📍 Teams and UoB 10E 3.2
Reposted by André Bittermann
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 👇
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
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
October 21, 2025 at 9:50 AM
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 👇
Reposted by André Bittermann
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.
They also suggest 6 simple checks that can be implemented in the editorial process to improve data FAIRness.
October 21, 2025 at 6:08 AM
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.
They also suggest 6 simple checks that can be implemented in the editorial process to improve data FAIRness.
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
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
October 21, 2025 at 5:48 AM
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
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
Reposted by André Bittermann
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
On this wednesday, our dear colleague @lspitzer.bsky.social talks about "Preregistration in Psychology"
#openscience #preregistration #psychology
events.digital-research.academy/event/114/
#openscience #preregistration #psychology
events.digital-research.academy/event/114/
Preregistration in Psychology
Learning Content In my course, you will learn about: What is a preregistration? Why is it important to preregister? How do I create a preregistration? Format 90 min in-person preregistration intro wor...
events.digital-research.academy
October 20, 2025 at 9:06 AM
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
Reposted by André Bittermann
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
@barcelonadori.bsky.social @oa2020.org
[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
October 1, 2025 at 7:16 PM
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
@barcelonadori.bsky.social @oa2020.org
Reposted by André Bittermann
✨ 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 🧵
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
September 22, 2025 at 8:47 AM
✨ 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 🧵
In our new paper now out in JASP (doi.org/10.1111/jasp...), we explore such serendipitous experiences in museums and beyond. 1/5 🧵
Reposted by André Bittermann
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...
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...
September 21, 2025 at 10:19 AM
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...
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...
Reposted by André Bittermann
"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
September 18, 2025 at 3:04 PM
"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
Reposted by André Bittermann
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 🧵
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
September 18, 2025 at 7:56 AM
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 🧵
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 🧵
Reposted by André Bittermann
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/...
"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
May 20, 2025 at 8:42 AM
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/...
"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/...
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!
Terminological inconsistency may threaten the progress of the field!
September 16, 2025 at 12:17 PM
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!
Terminological inconsistency may threaten the progress of the field!
Reposted by André Bittermann
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
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
August 21, 2025 at 1:14 PM
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
Reposted by André Bittermann
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...
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
August 18, 2025 at 11:06 AM
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...
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...
Reposted by André Bittermann
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...
“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...
July 23, 2025 at 7:37 PM
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...
“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...
Reposted by André Bittermann
🚨 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 🧵
1/8 🧵
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
July 18, 2025 at 8:32 AM
🚨 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 🧵
1/8 🧵
Reposted by André Bittermann
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
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
June 26, 2025 at 7:49 AM
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
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
Reposted by André Bittermann
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
journals.sagepub.com...
#GenerativeAI
June 26, 2025 at 6:30 PM
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
journals.sagepub.com...
#GenerativeAI
Reposted by André Bittermann
🚨 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
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
June 6, 2025 at 5:39 PM
🚨 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
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
Reposted by André Bittermann
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
Preprint coming soon, preregistration available on PsychArchives: doi.org/10.23668/psy...
#Metascience #SciSci #ICSSI2025
June 16, 2025 at 7:13 PM
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
Preprint coming soon, preregistration available on PsychArchives: doi.org/10.23668/psy...
#Metascience #SciSci #ICSSI2025
June 16, 2025 at 4:03 PM
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
Preprint coming soon, preregistration available on PsychArchives: doi.org/10.23668/psy...
#Metascience #SciSci #ICSSI2025
Reposted by André Bittermann
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
🔽
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
🔽
June 9, 2025 at 6:37 PM
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
🔽
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
🔽