Tootfinder

Trying out a new setup to write with markdown (diving into the murky world of modal editors), and `harper-ls` keeps flagging my sentences when they get longer than 40 words.
Imagining writing a sociology paper with no sentences over 40 words is giving me a good chuckle but also making me think about the relative inaccessibility of academic writing.
(part of the issue is that in-text citations count toward the sentence length. And yes, I've managed to turn off the long-sentenc…

Statistical inference of heterogeneous treatment effects using semiparametric single-index model
Jichang Yu, Wenjing Chang, Peichao Yu, Lijun Chen, Yuanshan Wu
https://arxiv.org/abs/2507.13594

Statistical inference of heterogeneous treatment effects using semiparametric single-index model
In recent years, with the rapid development of science and technology, heterogeneous treatment effects have emerged as a focal research topic in statistics, econometrics, and sociology. This paper investigates HTE through semiparametric single-index models based on doubly robust estimation. Departing from conventional approaches, we neither impose boundedness constraints on the link function in single-index models nor restrict its support range. By employing the sieve method to approximate the …

freshmen: Zeggelink's freshmen (1999)
Snapshots of friendships among freshmen majoring in Sociology at the University of Groningen, collected five times over the 1998-1999 year. The direction of an edge indicates that student i is friends with student j, and the edge weight gives their friendship level from 1 (best friend) to 5 (troubled relation). Metadata include gender, age, program type, and smoking behavior.
This network has 34 nodes and 1156 edges.
Tags: Social, O…

Large Language Models for History, Philosophy, and Sociology of Science: Interpretive Uses, Methodological Challenges, and Critical Perspectives
Arno Simons, Michael Zichert, Adrian W\"uthrich
https://arxiv.org/abs/2506.12242

Large Language Models for History, Philosophy, and Sociology of Science: Interpretive Uses, Methodological Challenges, and Critical Perspectives
This paper explores the use of large language models (LLMs) as research tools in the history, philosophy, and sociology of science (HPSS). LLMs are remarkably effective at processing unstructured text and inferring meaning from context, offering new affordances that challenge long-standing divides between computational and interpretive methods. This raises both opportunities and challenges for HPSS, which emphasizes interpretive methodologies and understands meaning as context-dependent, ambigu…

The Israeli Sociological Society was suspended from cooperation w/ the International Sociological Association. #ISS #Sociology This sends “a problematic signal by isolating academic organizations under political pressure instead of protecting them.”
👇

Perspectives on How Sociology Can Advance Theorizing about Human-Chatbot Interaction and Developing Chatbots for Social Good
Celeste Campos-Castillo, Xuan Kang, Linnea I. Laestadius
https://arxiv.org/abs/2507.05030

Perspectives on How Sociology Can Advance Theorizing about Human-Chatbot Interaction and Developing Chatbots for Social Good
Recently, research into chatbots (also known as conversational agents, AI agents, voice assistants), which are computer applications using artificial intelligence to mimic human-like conversation, has grown sharply. Despite this growth, sociology lags other disciplines (including computer science, medicine, psychology, and communication) in publishing about chatbots. We suggest sociology can advance understanding of human-chatbot interaction and offer four sociological theories to enhance extan…

What Can Robots Teach Us About Trust and Reliance? An interdisciplinary dialogue between Social Sciences and Social Robotics
Julien Wacquez (ETIS, CNRS), Elisabetta Zibetti (CHART), Joffrey Becker (ENSEA, ETIS), Lorenzo Aloe (ETIS, CHART), Fabio Amadio (LARSEN), Salvatore Anzalone (CHART), Lola Ca\~namero (ETIS, CY, CNRS, ENSEA), Serena Ivaldi (LARSEN, LORIA - AIS)

What Can Robots Teach Us About Trust and Reliance? An interdisciplinary dialogue between Social Sciences and Social Robotics
As robots find their way into more and more aspects of everyday life, questions around trust are becoming increasingly important. What does it mean to trust a robot? And how should we think about trust in relationships that involve both humans and non-human agents? While the field of Human-Robot Interaction (HRI) has made trust a central topic, the concept is often approached in fragmented ways. At the same time, established work in sociology, where trust has long been a key theme, is rarely br…

freshmen: Zeggelink's freshmen (1999)
Snapshots of friendships among freshmen majoring in Sociology at the University of Groningen, collected five times over the 1998-1999 year. The direction of an edge indicates that student i is friends with student j, and the edge weight gives their friendship level from 1 (best friend) to 5 (troubled relation). Metadata include gender, age, program type, and smoking behavior.
This network has 34 nodes and 1156 edges.
Tags: Social, O…

I am slowly but surely enjoying Reiner Keller's "Sociology of knowledge approach to discourse". I highly appreciate the level of care towards what is identified/extracted and taken for real. However, as with any other sociological framework, the position of the analyst remains problematic.
Even if one masters the analytical practice, communicating it remains problematic, as language must be used to do so. Traditionally, sociologists attempt to find a new form of language, which often becomes increasingly abstract and incomprehensible.
I wonder what the alternative would be: expressing analytical insights in every possible language or discursive logic (which is practically impossible), or at least in those connected to the analysis. Language translation or 'elif' could be examples of this. However, I also consider 'speaking in your terms' when communicating with individuals from different backgrounds.
#ADSK #Sociology #DiscourseAnalysis

The Decline and Fall of Christianity in America (Daniel N. Gullotta/The Bulwark)
https://www.thebulwark.com/p/american-christianity-decline-christian-smith-sociology-evangelical-catholic-mainline-christian-smith-religion-obsolete-review
http://www.memeorandum.com/250701/p43#a250701p43

We're recruiting on our MSc Sociology and Data Analytics for next September at the University of Limerick @…

This MSc offers in depth knowledge of sociological analysis, research… | Faculty of Arts, Humanities and Social Sciences, University of Limerick
This MSc offers in depth knowledge of sociological analysis, research methods and social science analytics - including high level training in data, data science, and data mining, and a range of sequenced topics that include crime, law, and deviance, culture and media, health and well-being, political analysis and social movements, and stratification and social inequality. The combination of high level training in research methods and robust exposure to core topics in Sociology and the Social …

Understanding the Effect of Knowledge Graph Extraction Error on Downstream Graph Analyses: A Case Study on Affiliation Graphs
Erica Cai, Brendan O'Connor
https://arxiv.org/abs/2506.12367

Understanding the Effect of Knowledge Graph Extraction Error on Downstream Graph Analyses: A Case Study on Affiliation Graphs
Knowledge graphs (KGs) are useful for analyzing social structures, community dynamics, institutional memberships, and other complex relationships across domains from sociology to public health. While recent advances in large language models (LLMs) have improved the scalability and accessibility of automated KG extraction from large text corpora, the impacts of extraction errors on downstream analyses are poorly understood, especially for applied scientists who depend on accurate KGs for real-wo…

Agent-based modeling and the sociology of money: some suggestions for refining monetary theory using social simulation
Eduardo Coltre Ferraciolli, Tanya V. Ara\'ujo
https://arxiv.org/abs/2506.22318

Agent-based modeling and the sociology of money: some suggestions for refining monetary theory using social simulation
The institution of money can be seen as a foundational social mechanism, enabling communities to quantify collectively regulate economic processes. Money can be said, indeed, to constitute the micro-macro link in economics. This paper reviews influential views on the nature of money in economics and sociology, contrasting them to the relatively limited findings of recent agent-based models of "the emergence of money". Noting ample room for novel combinations of sociological and formal methods t…

Interested in how #architecture can be understood sociologically?
In this podcast hosted by Alon Schwartz, I'm discussing how architecture can integrate human needs and usage processes in workplaces
So much fun to rise to the deep and challenging questions Alon threw at me

space design with Kerstin sailer- Sociology and Architecture
עיצוב מרחב עם אלון שוורץ · Episode

A Benchmarking Framework for Network Classification Methods
Joao V. Merenda, Gonzalo Travieso, Odemir M. Bruno
https://arxiv.org/abs/2506.06513 https://

A Benchmarking Framework for Network Classification Methods
Network classification plays a crucial role in the study of complex systems, impacting fields like biology, sociology, and computer science. In this research, we present an innovative benchmark dataset made up of synthetic networks that are categorized into various classes and subclasses. This dataset is specifically crafted to test the effectiveness and resilience of different network classification methods. To put these methods to the test, we also introduce various types and levels of struct…

AI-Reporter: A Path to a New Genre of Scientific Communication
Gerd Gra{\ss}hoff
https://arxiv.org/abs/2507.05903 https://arxiv.org/p…

AI-Reporter: A Path to a New Genre of Scientific Communication
The AI-Reporter represents a paradigmatic shift in scientific publication practice. This document demonstrates through a concrete case study how our system transforms academic presentations into publication-ready chapters -- in less than three minutes. Using Arno Simons' lecture on Large Language Models from the ``Large Language Models for the History, Philosophy, and Sociology of Science'' workshop (NEPI) as an example, we show how technological innovation bridges the gap between ephemeral pre…

freshmen: Zeggelink's freshmen (1999)
Snapshots of friendships among freshmen majoring in Sociology at the University of Groningen, collected five times over the 1998-1999 year. The direction of an edge indicates that student i is friends with student j, and the edge weight gives their friendship level from 1 (best friend) to 5 (troubled relation). Metadata include gender, age, program type, and smoking behavior.
This network has 34 nodes and 1156 edges.
Tags: Social, O…

freshmen: Zeggelink's freshmen (1999)
Snapshots of friendships among freshmen majoring in Sociology at the University of Groningen, collected five times over the 1998-1999 year. The direction of an edge indicates that student i is friends with student j, and the edge weight gives their friendship level from 1 (best friend) to 5 (troubled relation). Metadata include gender, age, program type, and smoking behavior.
This network has 34 nodes and 1156 edges.
Tags: Social, O…

Epitome: Pioneering an Experimental Platform for AI-Social Science Integration
Jingjing Qu, Kejia Hu, Jun Zhu, Wenhao Li, Teng Wang, Zhiyun Chen, Yulei Ye, Chaochao Lu, Aimin Zhou, Xiangfeng Wang, James Evan
https://arxiv.org/abs/2507.01061

Epitome: Pioneering an Experimental Platform for AI-Social Science Integration
The integration of Large Language Models (LLMs) into social science experiments represents a transformative approach to understanding human-AI interactions and their societal impacts. We introduce Epitome, the world's first open experimental platform dedicated to the deep integration of artificial intelligence and social science. Rooted in theoretical foundations from management, communication studies, sociology, psychology, and ethics, Epitome focuses on the interactive impacts of AI on indivi…

Bayesian Modeling for Aggregated Relational Data: A Unified Perspective
Owen G. Ward, Anna L. Smith, Tian Zheng
https://arxiv.org/abs/2506.21353 https://…

Bayesian Modeling for Aggregated Relational Data: A Unified Perspective
Aggregated relational data is widely collected to study social network theory. It has been used to address a variety of key problems in fields such as sociology, public health and economics. ARD models enable researchers to estimate the size of hidden populations, estimate personal network sizes, understand global network structures and fit complex latent variable models to massive network data. Many of the successes of ARD models have been driven by the utilisation of Bayesian modeling, which …

Properties and Expressivity of Linear Geometric Centralities
Paolo Boldi, Flavio Furia, Chiara Prezioso
https://arxiv.org/abs/2506.19670 https://

Properties and Expressivity of Linear Geometric Centralities
Centrality indices are used to rank the nodes of a graph by importance: this is a common need in many concrete situations (social networks, citation networks, web graphs, for instance) and it was discussed many times in sociology, psychology, mathematics and computer science, giving rise to a whole zoo of definitions of centrality. Although they differ widely in nature, many centrality measures are based on shortest-path distances: such centralities are often referred to as geometric. Geometric…