Results 11 to 20 of about 1,551,089 (266)
Data-driven Computational Social Science: A Survey [PDF]
Big 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.
Jun Zhang +4 more
arxiv +3 more sources
Mechanistic models in computational social science [PDF]
Frontiers in Physics, 2015 Quantitative social science is not only about regression analysis or, in general, data inference. Computer simulations of social mechanisms have an over 60 years long history. They have been used for many different purposes—to test scenarios, to test the
Petter eHolme, Fredrik eLiljeros
doaj +2 more sources
Humanities & Social Sciences Communications, 2023 Computational social science is being scrutinised and some concerns have been expressed with regards to the lack of transparency and inclusivity in some of the researches.
Isabelle Bonhoure +4 more
doaj +2 more sources
From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science [PDF]
Journal of Social Computing, 2021 Computational Social Science (CSS), aiming at utilizing computational methods to address social science problems, is a recent emerging and fast-developing field.
Huimin Chen +5 more
openalex +3 more sources
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science [PDF]
International Conference on Language Resources and Evaluation, 2023 Instruction-tuned Large Language Models (LLMs) have exhibited impressive language understanding and the capacity to generate responses that follow specific prompts.
Yida Mu +7 more
openalex +3 more sources
PAR. Public Administration Review, 2023 As a design science, public administration is focused on addressing real‐world problems. However, within public administration argument and evidence on the relevance of academic research to practice agendas is equivocal.
Richard M. Walker +4 more
openalex +2 more sources
The Value of Using Big Data Technologies in Computational Social Science [PDF]
arXiv, 2014 The discovery of phenomena in social networks has prompted renewed interests in the field. Data in social networks however can be massive, requiring scalable Big Data architecture. Conversely, research in Big Data needs the volume and velocity of social media data for testing its scalability.
Eugene Ch’ng
openalex +3 more sources
Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science [PDF]
arXiv.org, 2023 Large Language Models (LLMs) have democratized synthetic data generation, which in turn has the potential to simplify and broaden a wide gamut of NLP tasks.
Veniamin Veselovsky +5 more
semanticscholar +1 more source
Serious Games and AI: Challenges and Opportunities for Computational Social Science [PDF]
IEEE Access, 2023 The gaming industry plays a crucial role in the realm of entertainment within our society. However, from Monopoly to Flight Simulators, serious games have also been appealing tools for learning a new language, conveying values, or training skills.
Jaime P'erez +2 more
semanticscholar +1 more source
Prompt Design Matters for Computational Social Science Tasks but in Unpredictable Ways [PDF]
arXiv.orgManually annotating data for computational social science tasks can be costly, time-consuming, and emotionally draining. While recent work suggests that LLMs can perform such annotation tasks in zero-shot settings, little is known about how prompt design
Shubham Atreja +4 more
openalex +2 more sources