activity
20232026
most citedThe Governance of Decentralized Autonomous Organizations: A Study of Contributors' Influence, Networks, and Shifts in Voting Power

11 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CY2026

Voting Biases in Decentralized Autonomous Organization (DAO) Governance

Stefano Balietti, Pietro Saggese, Markus Strohmaier

Decentralized Autonomous Organizations (DAOs) use token-weighted voting to allocate resources, set protocol rules, and legitimate collective decisions. Yet, support in DAO voting i…

cs.CY2025★ 2 cited

Missing the Margins: A Systematic Literature Review on the Demographic Representativeness of LLMs

Indira Sen, Marlene Lutz, Elisa Rogers +2

Many applications of Large Language Models (LLMs) require them to either simulate people or offer personalized functionality, making the demographic representativeness of LLMs cruc…

cs.CL2025

Do Psychometric Tests Work for Large Language Models? Evaluation of Tests on Sexism, Racism, and Morality

Jana Jung, Marlene Lutz, Indira Sen +1

Psychometric tests are increasingly used to assess psychological constructs in large language models (LLMs). However, it remains unclear whether these tests -- originally developed…

cs.CL2025

Persona-driven Simulation of Voting Behavior in the European Parliament with Large Language Models

Maximilian Kreutner, Marlene Lutz, Markus Strohmaier

Large Language Models (LLMs) display remarkable capabilities to understand or even produce political discourse but have been found to consistently exhibit a progressive left-leanin…

cs.CL2024

Local Contrastive Editing of Gender Stereotypes

Marlene Lutz, Rochelle Choenni, Markus Strohmaier +1

Stereotypical bias encoded in language models (LMs) poses a threat to safe language technology, yet our understanding of how bias manifests in the parameters of LMs remains incompl…

cs.SI2023★ 11 cited

The Governance of Decentralized Autonomous Organizations: A Study of Contributors' Influence, Networks, and Shifts in Voting Power

Stefan Kitzler, Stefano Balietti, Pietro Saggese +2

We present a study analyzing the voting behavior of contributors, or vested users, in Decentralized Autonomous Organizations (DAOs). We evaluate their involvement in decision-makin…