c, et al.: Operational Validation of Large-Language-Model Agent Social Simulation: Evidence from Voat v/technology https://arxiv.org/abs/2508.21740 https://arxiv.org/pdf/2508.21740 https://arxiv.org/html/2508.21740
Operational Validation of Large-Language-Model Agent Social Simulation: Evidence from Voat v/technology
https://arxiv.org/abs/2508.21740
Rough first version of the paper is on ArXiv: arxiv.org/abs/2508.21740
Full paper with robustness analysis up in a few weeks.
Fails: Identity persistence, long-term coherence, true preferential attachment. ❌
Memoryless setup prevents identity formation; network core is more difuse, no agent differentiation in stylistic alignment.
Can LLM agents reproduce online community dynamics?
We simulated Voat's v/technology community with YSocial and uncensored LLM.
Simulation reproduces: activity patterns, network topology, toxicity distributions + decent topic coverage ✅
100% AI generated :)
MADOC paper accepted at #ICWSM 25!
Looking forward to share more insights from the dataset in Copenhagen.
The dataset will be updated soon: bug fixes and additional sentiment scores.
🚨New method in studying old relations! 🚨
Are Dark Triad traits differently related to self-reported and task-performance domains of emotional functioning?
👇
t.co/Wxi9MdrMWW
Thanks to Beata Grabovac and @atomashevic.bsky.social for the fruitful collaboration
Apply to the "Software and Data for Supporting Network Science" satellite workshop at @netsciconf.bsky.social before Feb. 7th! Got some cool network data or software to share? This is the satellite for you! Submission form at netsci.nascol.net/cfa
PostDoc at Central European University in
#datasci #netsci #compsocsci #inclusive 🏳️🌈🇪🇺
@weareceu.bsky.social
We have released the first version of MADOC!
Huuge dataset with ~9M posts, 236M comments, and 23M users from Reddit, Voat, Bluesky, and Koo.
MADOC mixes benign and controversial/banned communities, ideal for the study of hate speech, user migrations, and community moderation.
If you want to take a quick look at (subset) of MADOC, Python and R packages are available:
pypi.org/project/pyma...
github.com/atomashevic/...
Dataset is available on Zenodo:
zenodo.org/records/1463...
Preprint describing MADOC is on ArXiv:
arxiv.org/abs/2501.12886
We have released the first version of MADOC!
Huuge dataset with ~9M posts, 236M comments, and 23M users from Reddit, Voat, Bluesky, and Koo.
MADOC mixes benign and controversial/banned communities, ideal for the study of hate speech, user migrations, and community moderation.
🎉Thrilled to share our new paper!
We tested cross-national validity of the Machiavellian Approach and Avoidance Questionnaire (MAAQ) across Germany, Canada, United Kingdom, and Serbia 👇
www.tandfonline.com/doi/full/10....
this looks perfect 😍
ssh into server and you can do meaningful work + have strong, strong retro vibes!
So many new people on here! Who should I follow?
I tried to narrow it down at least a little with #rstats
johannesbgruber.eu/post/2024-11...
The success of every online social platform depends on the quality of cat content.
Zlatko says hello to Bluesky 🐈
go.bsky.app/MMeFFH6
transforEmotion 0.1.5 in live on Github and CRAN.
github.com/atomashevic/...
- Resolved Youtube download issues by switching to pytubefix library
- Added rag function for retrieval-augmented generation using various transformer models.
transforEmotion 0.1.5 in live on Github and CRAN.
github.com/atomashevic/...
- Resolved Youtube download issues by switching to pytubefix library
- Added rag function for retrieval-augmented generation using various transformer models.
New version of "Dynamic Exploratory Graph Analysis of Emotions in Politics" is up on PsyArXiv!
We switch from CNN to CLIP with transforEmotion and now we have a clear two-dimensional network of emotion co-occurence.
Preprint: osf.io/preprints/ps...
Github: github.com/atomashevic/...
📢New preprint📢
As researchers embrace the next revolution in computational social science, the arrival of GLLMs (generative AI), there is a critical need for open-source alternatives. We introduce one with (r)Ollama and explain why it is important!
arxiv.org/abs/2404.07654
🚨 Blog post:
Lost in Transformation: The Horror and Wonder of Logit
I use the analogy of 🗺️↔️🌏 to clarify why logit is such a good model for binary outcomes.
tl; dr: OLS works on flat maps; logit works on globes.
statsky polisky econsky academicsky
www.robertkubinec.com/post/flat_ea...
But package is primarily built for #Rstats users with limited or zero knowledge of #Python.
The package mimics and simplifies the usage of transformers library in Python, so you can perform inference, run small tasks in a few lines of R code without worrying what is happening in the background.
I'm mostly working on emotion detection in videos, so I'm looking to enhance the package with more transformer-based model: speech to text, emotional recognition in speech...
The idea is to have a complete pipeline to process video and extract multiple time series of emotion scores.
Haven't posted here in a while, so here's a small update.
I've spent last few months developing and mantaining transforEmotion #Rstats package
github.com/atomashevic/...
It's a package for sentiment analysis for text, image and video in R using HuggingFace #transformers API
My body is not a temple its a deep space station occupying both a strategically pivotal location and also near an actual (celestial) temple.
Systematic replications across multiple social sciences www.nature.com/articles/d41... #openscience
☀️ It was really sunny in Novi Sad yesterday. We enjoyed a photoshoot for the IDIOMATIC project and had our last get-together before I depart for the US.