The enormous increase of popularity and use of the WWW has led in the recent years to important changes in the ways people communicate. An interesting example of this fact is provided by the now very popular social annotation systems, through which users annotate resources (such as web pages or digital photographs) with text keywords dubbed tags. Understanding the rich emerging structures resulting from the uncoordinated actions of users calls for an interdisciplinary effort. In particular concepts borrowed from statistical physics, such as random walks, and the complex networks framework, can effectively contribute to the mathematical modeling of social annotation systems. Here we show that the process of social annotation can be seen as a collective but uncoordinated exploration of an underlying semantic space, pictured as a graph, through a series of random walks. This modeling framework reproduces several aspects, so far unexplained, of social annotation, among which the peculiar growth of the size of the vocabulary used by the community and its complex network structure that represents an externalization of semantic structures grounded in cognition and typically hard to access.
Emergent social conventions and collective bias in LLM populations
Department of Mathematics, City St George’s, University of London（伦敦大学数学系）；Computer Science Department, IT University of Copenhagen（哥本哈根IT大学计算机科学系）；Pioneer Centre for AI（人工智能先锋中心）；The Alan Turing Institute, British Library（艾伦·图灵研究所，大英图书馆）
Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models
Université Paris 1 Panthéon-Sorbonne（巴黎第一大学先贤祠-索邦大学）；Université Paris-Saclay（巴黎萨克雷大学）；Institut Jean Nicod（让·尼科德研究所）；Ecole Normale Supérieure（巴黎高等师范学院）；PSL-EHESS-CNRS（巴黎文理研究大学-法国高等社会科学研究院-法国国家科学研究中心）
AI of the People, by the People, for the People: A Social Choice Approach to Collective Control of Artificial Intelligence
Institute of Logic and Computation, TU Wien（逻辑与计算研究所，维也纳技术大学）；Hasso Plattner Institute, University of Potsdam（哈索·platzer研究所，波茨坦大学）；Center for Artificial Intelligence, University of Applied Sciences St. Pölten（人工智能中心，圣波尔滕应用科学大学）
