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We present an opinion dynamics model framework discarding two common assumptions in the literature: (a) that there is direct influence between beliefs of neighbouring agents, and (b) that agent belief is static in the absence of social…

物理与社会 · 物理学 2023-05-17 Benedikt V. Meylahn , Christa Searle

Warning: this paper contains content that may be offensive or upsetting. Language has the power to reinforce stereotypes and project social biases onto others. At the core of the challenge is that it is rarely what is stated explicitly, but…

计算与语言 · 计算机科学 2020-04-27 Maarten Sap , Saadia Gabriel , Lianhui Qin , Dan Jurafsky , Noah A. Smith , Yejin Choi

The growing prevalence of conversational voice interfaces, powered by developments in both speech and language technologies, raises important questions about their influence on human communication. While written communication can signal…

计算机与社会 · 计算机科学 2025-06-10 Éva Székely , Jūra Miniota , Míša , Hejná

Speech and voice conditions can alter the acoustic properties of speech, which could impact the performance of paralinguistic models for affect for people with atypical speech. We evaluate publicly available models for recognizing…

机器学习 · 计算机科学 2025-08-01 Jaya Narain , Amrit Romana , Vikramjit Mitra , Colin Lea , Shirley Ren

Multi-agent models often describe populations segregated either in the physical space, i.e. subdivided in metapopulations, or in the ecology of opinions, i.e. partitioned in echo chambers. Here we show how the interplay between homophily…

物理与社会 · 物理学 2017-02-23 Michele Starnini , Mattia Frasca , Andrea Baronchelli

This paper presents the results of computational experiments on the effects of social influence on individual and systemic behavior of situated cognitive agents in a product-consumer environment. Paired experiments were performed with…

社会与信息网络 · 计算机科学 2012-04-17 Russell C. Thomas , John S. Gero

We examine the effect of noise on societies of agents using an agent-based model of evolutionary norm emergence. Generally, we see that noisy societies are more selfish, smaller and discontent, and are caught in rounds of perpetual…

多智能体系统 · 计算机科学 2024-11-28 Stavros Anagnou , Daniel Polani , Christoph Salge

In this work, we consider a multi-population system where the dynamics of each agent evolve according to a system of stochastic differential equations in a general functional setup, determined by the global state of the system. Each agent…

概率论 · 数学 2025-07-24 Giuseppe D'Onofrio , Anderson Melchor Hernandez

Languages emerge and change over time at the population level though interactions between individual speakers. It is, however, hard to directly observe how a single speaker's linguistic innovation precipitates a population-wide change in…

计算与语言 · 计算机科学 2021-06-04 Richard A Blythe , William Croft

In this paper, we inspect well-known population genetics and social dynamics models. In these models, interacting individuals, while participating in a self-organizing process, give rise to the emergence of complex behaviors and patterns.…

种群与进化 · 定量生物学 2012-07-11 Sven Banisch , Tanya Araújo

Opinion dynamics of a group of individuals is the change in the members' opinions through mutual interaction with each other. The related literature contains works in which the dynamics is modeled as a continuous system, of which behavioral…

动力系统 · 数学 2018-01-01 F. Ataş , A. Demirci , C. Özemir

Pervasive voice interaction enables deceptive patterns through subtle voice characteristics, yet empirical investigation into this manipulation lags behind, especially within major non-English language contexts. Addressing this gap, our…

人机交互 · 计算机科学 2025-08-04 Shuning Zhang , Han Chen , Yabo Wang , Yiqun Xu , Jiaqi Bai , Yuanyuan Wu , Shixuan Li , Xin Yi , Chunhui Wang , Hewu Li

We introduce an agent-based model for co-evolving opinion and social dynamics, under the influence of multiplicative noise. In this model, every agent is characterized by a position in a social space and a continuous opinion state variable.…

动力系统 · 数学 2022-10-05 Natasa Djurdjevac Conrad , Jonas Köppl , Ana Djurdjevac

Persuasion through conversation has been the focus of much research. Nudging is a popular strategy to influence decision-making in physical and digital settings. However, conversational agents employing "nudging" have not received…

人机交互 · 计算机科学 2025-03-07 Stephen Pilli , Vivek Nallur

Current bias evaluations in Instruction Text-to-Speech (ITTS) often rely on univariate testing, overlooking the compositional structure of social cues. In this work, we investigate gender bias by modeling prompts as combinations of Social…

信号处理 · 电气工程与系统科学 2026-03-24 Kuan-Yu Chen , Yi-Cheng Lin , Po-Chung Hsieh , Huang-Cheng Chou , Chih-Fan Hsu , Jeng-Lin Li , Hung-yi Lee , Jian-Jiun Ding

Statistical mechanics has proven to be able to capture the fundamental rules underlying phenomena of social aggregation and opinion dynamics, well studied in disciplines like sociology and psychology. This approach is based on the…

物理与社会 · 物理学 2016-01-13 Andrea Guazzini , Daniele Vilone , Franco Bagnoli

In performative prediction, predictions guide decision-making and hence can influence the distribution of future data. To date, work on performative prediction has focused on finding performatively stable models, which are the fixed points…

机器学习 · 计算机科学 2021-06-17 John Miller , Juan C. Perdomo , Tijana Zrnic

This paper introduces a new model of continuous opinion dynamics with random noise. The model belongs to the broad class of so called bounded confidence models. It differs from other popular bounded confidence models by the update rule,…

适应与自组织系统 · 物理学 2011-06-02 P. Nyczka

While lobbying has been demonstrated to have an important effect on public opinion and policy making, existing models of opinion formation do not specifically include its effect. In this work we introduce a new model of lobbying-driven…

Text does not fully specify the spoken form, so text-to-speech models must be able to learn from speech data that vary in ways not explained by the corresponding text. One way to reduce the amount of unexplained variation in training data…