Benjamín Garzón,Vincenzo Perri,Lisi Qarkaxhija et al.
Benjamín Garzón et al.
School curricula guide the daily learning activities of millions of students. They embody the understanding of the education experts who designed them of how to organize the knowledge that students should acquire in a way that is optimal fo...
Rumana Lakdawala,Joris Mulder,Roger Leenders
Rumana Lakdawala
Many important social phenomena are characterized by repeated interactions among individuals over time such as email exchanges in an organization or face-to-face interactions in a classroom. To understand the underlying mechanisms of social...
Reducing sexual predation and victimization through warnings and awareness among high-risk users [0.03%]
通过警示和提高意识减少高风险用户中的性侵犯和被害行为
Masanori Takano,Mao Nishiguchi,Fujio Toriumi
Masanori Takano
Online sexual predators target children by building trust, creating dependency, and arranging meetings for sexual purposes. This poses a significant challenge for online communication platforms that strive to monitor and remove such content...
Identification of intimate partner violence from free text descriptions in social media [0.03%]
从社交媒体的自由文本描述中识别亲密伴侣暴力
Phan Trinh Ha,Rhea D&#x;Silva,Ethan Chen et al.
Phan Trinh Ha et al.
Intimate partner violence (IPV) is a significant public health problem that adversely affects the well-being of victims. IPV is often under-reported and non-physical forms of violence may not be recognized as IPV, even by victims. With the ...
Capitalizing on a crisis: a computational analysis of all five million British firms during the Covid-19 pandemic [0.03%]
新冠疫情下的英国500万家企业：危机中的转机——基于大数据的分析研究
Naomi Muggleton,Charles Rahal,Aaron Reeves
Naomi Muggleton
The Covid-19 pandemic brought unprecedented changes to business ownership in the UK which affects a generation of entrepreneurs and their employees. Nonetheless, the impact remains poorly understood. This is because research on capital accu...
Open-source LLMs for text annotation: a practical guide for model setting and fine-tuning [0.03%]
开源LLM文本注释实用指南：模型设置与微调详解
Meysam Alizadeh,Maël Kubli,Zeynab Samei et al.
Meysam Alizadeh et al.
This paper studies the performance of open-source Large Language Models (LLMs) in text classification tasks typical for political science research. By examining tasks like stance, topic, and relevance classification, we aim to guide scholar...
Identifying the factors influencing the development of bilateral investment treaties with health safeguards: a Machine Learning-based link prediction approach [0.03%]
基于机器学习的链接预测方法识别促进包含健康保障的双边投资协定发展的因素
Haohui Lu,Anne Marie Thow,Dori Patay et al.
Haohui Lu et al.
A network analysis approach, complemented by machine learning (ML) techniques, is applied to analyse the factors influencing Bilateral Investment Treaties (BITs) at the country level. Using the Electronic Database of Investment Treaties, BI...
Small-area population forecasting in a segregated city using density-functional fluctuation theory [0.03%]
基于密度泛函波动理论的分隔城市小区域人口预测模型研究
Yuchao Chen,Yunus A Kinkhabwala,Boris Barron et al.
Yuchao Chen et al.
Policy decisions concerning housing, transportation, and resource allocation would all benefit from accurate small-area population forecasts. However, despite the success of regional-scale migration models, developing neighborhood-scale for...
A modelling study to explore the effects of regional socio-economics on the spreading of epidemics [0.03%]
一项研究区域经济社会因素对流行病传播影响的建模研究
Jan E Snellman,Rafael A Barrio,Kimmo K Kaski et al.
Jan E Snellman et al.
Epidemics, apart from affecting the health of populations, can have large impacts on their social and economic behavior and subsequently feed back to and influence the spreading of the disease. This calls for systematic investigation which ...
Yuan Hsiao
Yuan Hsiao
Research indicates that network structure affects the diffusion of a single behavior. However, in many social settings, two or more behaviors may compete for adoption, as in the case of religious competition, social movements and counter-mo...