Measuring user engagement with low credibility media sources in a controversial online debate [0.03%]
在争议性在线辩论中衡量用户与低可信度媒体来源的互动程度
Salvatore Vilella,Alfonso Semeraro,Daniela Paolotti et al.
Salvatore Vilella et al.
We quantify social media user engagement with low-credibility online news media sources using a simple and intuitive methodology, that we showcase with an empirical case study of the Twitter debate on immigration in Italy. By assigning the ...
Using mobile money data and call detail records to explore the risks of urban migration in Tanzania [0.03%]
利用移动货币数据和通话详情记录探究坦桑尼亚城市移民的风险
Rosa Lavelle-Hill,John Harvey,Gavin Smith et al.
Rosa Lavelle-Hill et al.
Understanding what factors predict whether an urban migrant will end up in a deprived neighbourhood or not could help prevent the exploitation of vulnerable individuals. This study leveraged pseudonymized mobile money interactions combined ...
Mapping state-sponsored information operations with multi-view modularity clustering [0.03%]
基于多视图模块度聚类的国家支持的信息作战分布映射方法研究
Joshua Uyheng,Iain J Cruickshank,Kathleen M Carley
Joshua Uyheng
This paper presents a new computational framework for mapping state-sponsored information operations into distinct strategic units. Utilizing a novel method called multi-view modularity clustering (MVMC), we identify groups of accounts enga...
Modeling international mobility using roaming cell phone traces during COVID-19 pandemic [0.03%]
利用游牧型手机痕迹 modelling国际旅行的COVID-19疫情影响
Massimiliano Luca,Bruno Lepri,Enrique Frias-Martinez et al.
Massimiliano Luca et al.
Most of the studies related to human mobility are focused on intra-country mobility. However, there are many scenarios (e.g., spreading diseases, migration) in which timely data on international commuters are vital. Mobile phones represent ...
Predicting subjective well-being in a high-risk sample of Russian mental health app users [0.03%]
预测俄罗斯精神卫生应用程序用户高风险样本的主观幸福感
Polina Panicheva,Larisa Mararitsa,Semen Sorokin et al.
Polina Panicheva et al.
Despite recent achievements in predicting personality traits and some other human psychological features with digital traces, prediction of subjective well-being (SWB) appears to be a relatively new task with few solutions. COVID-19 pandemi...
Understanding China's urban system evolution from web search index data [0.03%]
基于网页搜索指数数据的中国城市体系演化认识
Hao Guo,Weiyu Zhang,Haode Du et al.
Hao Guo et al.
The spatial inequilibrium phenomenon is apparent during China's rapid urbanization in the past four decades. As the fertility rate decreases and the population ages, this phenomenon will become more critical. To accurately forecast the futu...
Corruption red flags in public procurement: new evidence from Italian calls for tenders [0.03%]
意大利招标公告中的政府采购腐败征兆：新证据
Francesco Decarolis,Cristina Giorgiantonio
Francesco Decarolis
This paper contributes to the analysis of quantitative indicators (i.e., red flags or screens) to detect corruption in public procurement. It presents an approach to evaluate corruption risk in public tenders through standardized ML tools a...
Brexit and bots: characterizing the behaviour of automated accounts on Twitter during the UK election [0.03%]
Brexit与机器人：在英国大选期间推特上自动化账号的行为特征分析
Matteo Bruno,Renaud Lambiotte,Fabio Saracco
Matteo Bruno
Online Social Networks (OSNs) offer new means for political communications that have quickly begun to play crucial roles in political campaigns, due to their pervasiveness and communication speed. However, the OSN environment is quite slipp...
Analysis and classification of privacy-sensitive content in social media posts [0.03%]
社交媒体帖子中敏感隐私内容的分析与分类
Livio Bioglio,Ruggero G Pensa
Livio Bioglio
User-generated contents often contain private information, even when they are shared publicly on social media and on the web in general. Although many filtering and natural language approaches for automatically detecting obscenities or hate...
Sweet tweets! Evaluating a new approach for probability-based sampling of Twitter [0.03%]
基于概率的Twitter抽样方法的有效性评估研究
Trent D Buskirk,Brian P Blakely,Adam Eck et al.
Trent D Buskirk et al.
As survey costs continue to rise and response rates decline, researchers are seeking more cost-effective ways to collect, analyze and process social and public opinion data. These issues have created an opportunity and interest in expanding...