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...
Fast meta-analytic approximations for relational event models: applications to data streams and multilevel data [0.03%]
快速元分析在关系事件模型中的近似应用：数据流和多水平数据的应用
Fabio Vieira,Roger Leenders,Joris Mulder
Fabio Vieira
Large relational-event history data stemming from large networks are becoming increasingly available due to recent technological developments (e.g. digital communication, online databases, etc). This opens many new doors to learn about comp...
Did the public attribute the Flint Water Crisis to racism as it was happening? Text analysis of Twitter data to examine causal attributions to racism during a public health crisis [0.03%]
大众是否将弗林特水危机归咎于种族主义？对推文数据进行文本分析以检验公众在卫生危机期间归因于种族主义的说法。
Neslihan Bisgin,Halil Bisgin,Daniel Hummel et al.
Neslihan Bisgin et al.
The Flint Water Crisis (FWC) was an avoidable public health disaster that has profoundly affected the city's residents, a majority of whom are Black. Although many scholars and journalists have called attention to the role of racism in the ...
You are how (and where) you search? Comparative analysis of web search behavior using web tracking data [0.03%]
你是你搜索的方式和地点？利用网络追踪数据比较分析网络搜索行为
Aleksandra Urman,Mykola Makhortykh
Aleksandra Urman
In this article, we conduct a comparative analysis of web search behaviors in Switzerland and Germany. For this aim, we rely on a combination of web tracking data and survey data collected over a period of 2 months from users in Germany (n ...
COCO: an annotated Twitter dataset of COVID-19 conspiracy theories [0.03%]
COCO：COVID-19阴谋论推特数据集及其标注
Johannes Langguth,Daniel Thilo Schroeder,Petra Filkuková et al.
Johannes Langguth et al.
The COVID-19 pandemic has been accompanied by a surge of misinformation on social media which covered a wide range of different topics and contained many competing narratives, including conspiracy theories. To study such conspiracy theories...
Perception of COVID-19 vaccination among Indian Twitter users: computational approach [0.03%]
印度推特用户对COVID-19疫苗接种的认知：计算方法
Prateeksha Dawn Davidson,Thanujah Muniandy,Dhivya Karmegam
Prateeksha Dawn Davidson
Vaccination has been a hot topic in the present COVID-19 context. The government, public health stakeholders and media are all concerned about how to get the people vaccinated. The study was intended to explore the perception and emotions o...
Geo-sentiment trends analysis of tweets in context of economy and employment during COVID-19 [0.03%]
新冠肺炎背景下基于地理位置的推特文本情绪及其与经济和就业数据的相关性研究
Narendranath Sukhavasi,Janardan Misra,Vikrant Kaulgud et al.
Narendranath Sukhavasi et al.
To effectively design policies and implement measures for addressing problems faced by people during these difficult times of pandemic, it is critical to have a clear vision of the problems people are freely talking about. One of the ways i...
Centre assessment grades in 2020: a natural experiment for investigating bias in teacher judgements [0.03%]
中心评估成绩：一项用于研究教师判断中的偏差的自然实验
Louis Magowan
Louis Magowan
The COVID-19 pandemic meant that, in 2020, students in England were unable to sit their examinations and instead received predicted grades, or "centre assessment grades" (CAGs), from their teachers to allow them to progress. Using the Gradi...
An AI-based framework for studying visual diversity of urban neighborhoods and its relationship with socio-demographic variables [0.03%]
基于AI的城市邻里视觉多样性及其与社会人口统计变量关系的研究框架
Md Amiruzzaman,Ye Zhao,Stefanie Amiruzzaman et al.
Md Amiruzzaman et al.
This study presents a framework to study quantitatively geographical visual diversities of urban neighborhood from a large collection of street-view images using an Artificial Intelligence (AI)-based image segmentation technique. A variety ...
A scoping review on the use of natural language processing in research on political polarization: trends and research prospects [0.03%]
自然语言处理在政治极化研究中的应用：趋势和研究前景的范围审查
Renáta Németh
Renáta Németh
As part of the "text-as-data" movement, Natural Language Processing (NLP) provides a computational way to examine political polarization. We conducted a methodological scoping review of studies published since 2010 (n = 154) to clarify how ...