Results 1 to 10 of about 11,191,782 (263)

Can Generative AI improve social science? [PDF]

open access: yesProc Natl Acad Sci U S A
Generative AI that can produce realistic text, images, and other human-like outputs is currently transforming many different industries. Yet it is not yet known how such tools might influence social science research.
Bail CA.
europepmc   +2 more sources

AI for social science and social science of AI: A Survey [PDF]

open access: yesarXiv
Recent advancements in artificial intelligence, particularly with the emergence of large language models (LLMs), have sparked a rethinking of artificial general intelligence possibilities. The increasing human-like capabilities of AI are also attracting attention in social science research, leading to various studies exploring the combination of these ...
Ruoxi Xu   +7 more
arxiv   +2 more sources

Can Large Language Models Transform Computational Social Science? [PDF]

open access: yesInternational Conference on Computational Logic, 2023
Large language models (LLMs) are capable of successfully performing many language processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify and explain social phenomena like persuasiveness and political ideology ...
Caleb Ziems   +5 more
semanticscholar   +1 more source

The Influence of Social Networks on Human Society [PDF]

open access: yes, 2021
This report gives a brief overview of the origin of social networks and their most popular manifestation in the modern era - the Online Social Networks (OSNs) or social media. It further discusses the positive and negative implications of OSNs on human society. The coupling of Data Science and social media (social media mining) is then put forward as a
arxiv   +1 more source

Using social and behavioural science to support COVID-19 pandemic response

open access: yesNature Human Behaviour, 2020
The COVID-19 pandemic represents a massive global health crisis. Because the crisis requires large-scale behaviour change and places significant psychological burdens on individuals, insights from the social and behavioural sciences can be used to help ...
J. V. Bavel   +42 more
semanticscholar   +1 more source

Modeling and analysis of social phenomena: challenges and possible research directions [PDF]

open access: yesEntropy 2022, 24, 491, 2022
This opening editorial aims to interest researchers and encourage novel research in the closely related fields of sociophysics and computational social science. We briefly discuss challenges and possible research directions in the study of social phenomena, with a particular focus on opinion dynamics.
arxiv   +1 more source

Computational Social Science and Sociology.

open access: yesThe Annual review of sociology, 2020
The integration of social science with computer science and engineering fields has produced a new area of study: computational social science. This field applies computational methods to novel sources of digital data such as social media, administrative ...
Achim Edelmann   +3 more
semanticscholar   +1 more source

A Bibliometric Perspective of Social Science Scientific Communities of Pakistan and India [PDF]

open access: yesarXiv, 2022
In this study, we use research publication data from the field of social science to identify collaboration networks among social science research communities of India and Pakistan. We have used Scopus database to extract information of social science journals for both countries India and Pakistan.
arxiv  

Data-driven Computational Social Science: A Survey [PDF]

open access: yesBig Data Research, 2020, 2020
Social science concerns issues on individuals, relationships, and the whole society. The complexity of research topics in social science makes it the amalgamation of multiple disciplines, such as economics, political science, and sociology, etc. For centuries, scientists have conducted many studies to understand the mechanisms of the society.
arxiv   +1 more source

On the Representation and Construction of Equitable Social Welfare Orders [PDF]

open access: yesMathematical Social Sciences, Volume 107, September 2020, Pages 17-22, 2020
This paper examines the representation and explicit description of social welfare orders on infinite utility streams. It is assumed that the social welfare orders under investigation satisfy upper asymptotic Pareto and anonymity axioms. We prove that there exists no real-valued representation of such social welfare orders.
arxiv   +1 more source

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