Handbook of Computational Social Science for Policy [PDF]
Language is the medium for many political activities, from campaigns to news reports. Natural language processing (NLP) uses computational tools to parse text into key information that is needed for policymaking.
Zhijing Jin, Rada Mihalcea
semanticscholar +1 more source
Computational Reproducibility in Computational Social Science [PDF]
Open science practices have been widely discussed and have been implemented with varying success in different disciplines. We argue that computational-x disciplines such as computational social science, are also susceptible to the symptoms of the crises,
David Schoch+3 more
semanticscholar +1 more source
Can Large Language Models Transform Computational Social Science? [PDF]
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
doaj +2 more sources
Neural network interatomic potential for the phase change material GeTe [PDF]
GeTe is a prototypical phase change material of high interest for applications in optical and electronic nonvolatile memories. We present an interatomic potential for the bulk phases of GeTe, which is created using a neural network (NN) representation of
G. Sosso+17 more
semanticscholar +1 more source
Modeling and analysis of social phenomena: challenges and possible research directions [PDF]
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
Human social sensing is an untapped resource for computational social science
The ability to ‘sense’ the social environment and thereby to understand the thoughts and actions of others allows humans to fit into their social worlds, communicate and cooperate, and learn from others’ experiences.
M. Galesic+8 more
semanticscholar +1 more source
Group mixing drives inequality in face-to-face gatherings
The emergence of inequality in social interactions can depend on a number of factors, among which the intrinsic attractiveness of individuals, but also group size the presence of pre-formed social ties.
Marcos Oliveira+5 more
doaj +1 more source
Computational appraisal of gender representativeness in popular movies
Gender representation in mass media has long been mainly studied by qualitatively analyzing content. This article illustrates how automated computational methods may be used in this context to scale up such empirical observations and increase their ...
Antoine Mazières+2 more
doaj +1 more source
A Survey of Hybrid Human-Artificial Intelligence for Social Computing [PDF]
Along with the development of modern computing technology and social sciences, both theoretical research and practical applications of social computing have been continuously extended. In particular with the boom of artificial intelligence (AI), social computing is significantly influenced by AI.
arxiv +1 more source
Introducing computational social science for Asia-Pacific communication research [PDF]
Computational social science has caused a shift of research paradigm in social science in general and communication in particular. The special issue brings together a community of active researchers to introduce computational social science for Asia ...
Tai‐Quan Peng+2 more
openalex +2 more sources