activity
20032026
most citedSystematic Biases in LLM Simulations of Debates

42 citations · 109 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CL2026

The Role of AI in Online Reviews

Valeria Lerman, Oren Rigbi, Yaniv Dover

The rapid adoption of large language models (LLMs) creates new opportunities for strategic content generation on online platforms, including potentially harmful forms of manipulati…

cs.HC2025

Confident-Knowledge Diversity Drives Human-Human and Human-AI Free Discussion Synergy and Reveals Pure-AI Discussion Shortfalls

Tom Sheffer, Alon Miron, Asael Sklar +2

Conversations transform individual knowledge into collective insight, enabling collaborators to solve problems more accurately than they could alone. Whether dialogues among large…

cs.SI2025

Tell me who its founders are and I'll tell you what your online community looks like: Online community founders' personality and community attributes

Yaniv Dover, Shaul Oreg

Online communities are an increasingly important stakeholder for firms, and despite the growing body of research on them, much remains to be learned about them and about the factor…

cs.CL2025

A closer look at how large language models trust humans: patterns and biases

Valeria Lerman, Yaniv Dover

As large language models (LLMs) and LLM-based agents increasingly interact with humans in decision-making contexts, understanding the trust dynamics between humans and AI agents be…

cs.CL2025★ 2 cited

Can (A)I Change Your Mind?

Miriam Havin, Timna Wharton Kleinman, Moran Koren +2

The increasing integration of large language models (LLMs) based conversational agents into everyday life raises critical cognitive and social questions about their potential to in…

cs.CL2024★ 42 cited

Systematic Biases in LLM Simulations of Debates

Amir Taubenfeld, Yaniv Dover, Roi Reichart +1

The emergence of Large Language Models (LLMs), has opened exciting possibilities for constructing computational simulations designed to replicate human behavior accurately. Current…