Social Depolarization and Diversity of Opinions—Unified ABM Framework DOI Creative Commons
Paweł Sobkowicz

Entropy, Год журнала: 2023, Номер 25(4), С. 568 - 568

Опубликована: Март 26, 2023

Most sociophysics opinion dynamics simulations assume that contacts between agents lead to greater similarity of opinions, and there is a tendency for having similar opinions group together. These mechanisms result, in many types models, significant polarization, understood as separation groups conflicting opinions. The addition inflexible (zealots) or mechanisms, which drive even further apart, only exacerbates these polarizing processes. Using universal mathematical framework, formulated the language utility functions, we present novel simulation results. They combine tendencies with potentially favoring diverse, non-polarized environments. are aimed at answering following question: How can systems exist stable configurations? framework enables easy introduction, study, effects external “pro-diversity”, its contribution function. Specific examples presented this paper include an extension classic square geometry Ising-like model, modify their dynamic scale-free network system two different promoting local diversity, where structure connecting while keeping stable. Despite differences they show fundamental similarities results terms existence low temperature, stable, locally globally diverse states, i.e., states differing remain closely linked. While do not answer socially relevant question how combat growing polarization observed modern democratic societies, open path towards modeling diminishing activities. These, turn, could act guidance implementing actual depolarization social strategies.

Язык: Английский

Multipolar social systems: Measuring polarization beyond dichotomous contexts DOI Creative Commons
Samuel Martín-Gutíerrez, Juan Carlos Losada, R. M. Benito

и другие.

Chaos Solitons & Fractals, Год журнала: 2023, Номер 169, С. 113244 - 113244

Опубликована: Фев. 16, 2023

Social polarization is a growing concern worldwide, as it strains social relations, erodes trust in institutions, and thus hurts democratic societies. Polarization has been traditionally studied binary conflicts where two groups support opposite ideas. However, many systems, such multi-party democracies, political involve multiple dissenting factions. Despite the prevalence of multipolar there still lack suitable analytical tools to study their patterns. In this work, we introduce new metrics for multidimensional scenarios develop methodology that extracts ideological structure contexts from networks. We propose trace covariance matrix (the total variation) opinion distribution measure global polarization, its eigendecomposition identify directions maximum polarization. Instead using pre-conceived space (conservative vs progressive, liberal authoritarian, etc.), our framework reveals natural axes system. apply quadripolar pentapolar real-world processes, finding non-trivial structures with clear connections underlying context. Our opens avenues understanding multilateral tensions facing challenges unified way.

Язык: Английский

Процитировано

12
Emergence of Polarization in a Sigmoidal Bounded-Confidence Model of Opinion Dynamics DOI
Heather Z. Brooks,

Philip S. Chodrow,

Mason A. Porter

и другие.

SIAM Journal on Applied Dynamical Systems, Год журнала: 2024, Номер 23(2), С. 1442 - 1470

Опубликована: Июнь 11, 2024

Язык: Английский

Процитировано

5
Unraveling polarization: insights into individual and collective dynamics DOI Creative Commons
Kati Kish Bar-On, Eugen Dimant, Yphtach Lelkes

и другие.

PNAS Nexus, Год журнала: 2024, Номер 3(10)

Опубликована: Окт. 1, 2024

Abstract Polarization poses a critical threat to the stability of nations around world, as it impacts climate change, populism, democracy, and global health. This perspective examines conceptual understanding, measurement challenges, potential interventions for polarization. Our analysis highlights distinction interactions between individual collective levels polarization, conceptually, methodologically, in terms interventions. We conclude by pointing out future directions understanding polarization highlighting interrelations other social phenomena.

Язык: Английский

Процитировано

5
Human Crowds as Social Networks: Collective Dynamics of Consensus and Polarization DOI
William H. Warren, J. Benjamin Falandays, Kei Yoshida

и другие.

Perspectives on Psychological Science, Год журнала: 2023, Номер 19(2), С. 522 - 537

Опубликована: Авг. 1, 2023

A ubiquitous type of collective behavior and decision-making is the coordinated motion bird flocks, fish schools, human crowds. Collective decisions to move in same direction, turn right or left, split into subgroups arise a self-organized fashion from local interactions between individuals without central plans designated leaders. Strikingly similar phenomena consensus (collective motion), clustering (subgroup formation), bipolarization (splitting extreme groups) are also observed opinion formation. As we developed models crowd dynamics analyzed networks, found ourselves going down path as social networks. In this article, draw out parallels crowds We show that have mathematical form generate analogous multiagent simulations. suggest they can be unified by common dynamics, which may extended other psychological collectives. Models thus offer means account for appealing priori mental structures.

Язык: Английский

Процитировано

11
Adaptive human behaviour modulates the impact of immune life history and vaccination on long-term epidemic dynamics DOI
Baltazar Espinoza, Chadi M. Saad-Roy, Bryan T. Grenfell

и другие.

Proceedings of the Royal Society B Biological Sciences, Год журнала: 2024, Номер 291(2033)

Опубликована: Окт. 1, 2024

The multiple immunity responses exhibited in the population and co-circulating variants documented during pandemics show a high potential to generate diverse long-term epidemiological scenarios. Transmission variability, immune uncertainties human behaviour are crucial features for predictability implementation of effective mitigation strategies. Nonetheless, effects individual health incentives on disease dynamics not well understood. We use behavioural-immuno-epidemiological model study joint evolution epidemic different Our results reveal trade-off between individuals’ levels behavioural produced. find that adaptive can avoid dynamical resonance by avoiding large outbreaks, producing subsequent uniform outbreaks. forward-looking shows an optimal planning horizon minimizes burden balancing risk–benefit trade-off. compensate differential levels, equalizing scenarios with underlying landscapes. adequately capture complex empirical observed pandemics. tested our US states COVID-19 pandemic. Finally, we explored extensions modelling framework incorporate lockdowns, emergence novel variant, prosocial attitudes pandemic fatigue.

Язык: Английский

Процитировано

3
Mind the gap: A typology of the gap between theory and practice in parliamentary oversight – lessons from the Israeli system DOI
Bell Yosef

Journal of Legislative Studies, Год журнала: 2025, Номер unknown, С. 1 - 27

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

0
American social media users have ideological differences of opinion about the War in Ukraine DOI Creative Commons
William George Nomikos, Dahjin Kim, Gechun Lin

и другие.

Humanities and Social Sciences Communications, Год журнала: 2025, Номер 12(1)

Опубликована: Фев. 2, 2025

Abstract Though ideological differences have long been a ubiquitous feature of American politics, the rise online news and social media has exacerbated divisions between groups. While existing research documented how political preferences manifest online, relatively few studies considered whether extend to discussions foreign policy. We examine this question by analyzing nearly 2 million tweets about war in Ukraine posted Americans during opening stages Russian invasion. first categorize each tweet according user’s leanings estimated network accounts they follow. Then, we apply natural language processing model specifically designed for short texts classify into clusters that hand code substantive topics. find topic distributions conservative, moderate, liberal users are substantively statistically different. further conservatives more likely spread some form misinformation liberals express support Ukraine. Our paper concludes with discussion implications our findings conduct U.S.

Язык: Английский

Процитировано

0
The Effects of Political Exclusion: Threatened Needs and Decreased Affiliation With Increased Anger and Antisocial Inclinations DOI Creative Commons
Katarina E. AuBuchon, Michelle L. Stock,

Emily Raibley

и другие.

Journal of Applied Social Psychology, Год журнала: 2025, Номер unknown

Опубликована: Март 24, 2025

ABSTRACT Social exclusion threatens psychological needs satisfaction, increases anger, and can contribute to group polarization. In two studies, we explored how political (vs. inclusion) influenced American voters' Study 1 ( N = 135, 60.7% Female, 61.5% White; Age M 19.63), young adults were included or excluded in Cyberball from their outgroup. 2 316, 72.5% 63.0% 19.03), Biden Trump supporters ingroup outgroup during the 2020 election. Participants included) reported lower satisfaction (Study 1: 0.29, 2: 0.35), more anger 0.04), less interest affiliation 0.03) increased antisociality 0.01). Ingroup had mixed effects, liberals (Biden supporters) conservatives (Trump differences responses. Political may initiate a cycle of polarization by threatening increasing anger.

Язык: Английский

Процитировано

0
Modernization and Ideological Polarization on a Global Scale DOI Creative Commons
Francesco Rigoli

Cross-Cultural Research, Год журнала: 2025, Номер unknown

Опубликована: Март 25, 2025

Research has shown that modernization changed people’s values. Yet, it remains unknown whether also ideological polarization, namely, the variability of values within population. The paper investigates this question by analysing data from World Value Survey about multiple countries sampled over waves (339 wave-countries). Once was operationalised as per capita gross domestic product, analyses reveal poor display greater polarization in domain economics, gender equality and immigration. This fits with idea are predisposed to because they transitioning towards modernity. Still, domains like abortion divorce, emerged be rich here population is divided between conservative liberal positions, while most people converge on views. These observations clarify multifaceted implications highlight its influence upon political polarization.

Язык: Английский

Процитировано

0
Automated extraction of discourse networks from large volumes of media data DOI
Mario Angst, Nicolas Müller,

Viviane Walker

и другие.

Network Science, Год журнала: 2025, Номер 13

Опубликована: Янв. 1, 2025

Abstract Understanding and tracking societal discourse around essential governance challenges of our times is crucial. One possible heuristic to conceptualize as a network actors policy beliefs. Here, we present an exemplary widely applicable automated approach extract networks from large volumes media data, bipartite graph organizations beliefs connected by stance edges. Our leverages various natural language processing techniques, alongside qualitative content analysis. We combine named entity recognition, linking, supervised text classification informed close reading, novel detection procedure based on models. demonstrate in empirical application tracing urban sustainable transport the Swiss area Zürich over 12 years, more than one million paragraphs extracted slightly less two newspaper articles. test internal validity approach. Based evaluations against manually find support for what call window hypothesis data gathering. The gathering increases if inferences are combined sliding time windows. results show that when leveraging redundancy inertia through windowed aggregation, methods can recover basic structure higher-level structurally descriptive metrics well. also necessity creating high-quality sets reading efforts invested automation should be carefully considered.

Язык: Английский

Процитировано

0