Correction to: Characterizing the roles of bots on Twitter during the COVID‑19 infodemic [0.03%]
Correction to：表征COVID-19信息流行病期间Twitter上机器人账户的作用
Wentao Xu,Kazutoshi Sasahara
Wentao Xu
[This corrects the article DOI: 10.1007/s42001-021-00139-3.]. © Springer Nature Singapore Pte Ltd. 2021.
Published Erratum
Journal of computational social science. 2022;5(1):1095. DOI:10.1007/s42001-021-00144-6 2022
Characterizing the roles of bots on Twitter during the COVID-19 infodemic [0.03%]
新冠肺炎疫情期间推特上机器人账号的作用分析
Wentao Xu,Kazutoshi Sasahara
Wentao Xu
An infodemic is an emerging phenomenon caused by an overabundance of information online. This proliferation of information makes it difficult for the public to distinguish trustworthy news and credible information from untrustworthy sites a...
Simulating language knowledge across the EU: language regimes, language learning and consequences for linguistic disenfranchisement [0.03%]
欧盟的语言知识模拟：语言制度、语言学习及其对语言政治边缘化的后果
Marco Civico
Marco Civico
The objective of this paper is to develop an simulation model able to test different language education orientations and their consequences for the EU population in terms of linguistic disenfranchisement, that is, the inability of citizens ...
Matthew Babcock,Kathleen M Carley
Matthew Babcock
Twitter and other social media platforms are important tools for competing groups to push their preferred messaging and respond to opposing views. Special attention has been paid to the role these tools play in times of emergency and import...
Measuring spatio-textual affinities in twitter between two urban metropolises [0.03%]
测量两大都市之间Twitter上的时空文本联系
Minda Hu,Mayank Kejriwal
Minda Hu
With increasing growth of both social media and urbanization, studying urban life through the empirical lens of social media has led to some interesting research opportunities and questions. It is well-recognized that as a 'social animal', ...
Philippe Collard
Philippe Collard
This paper deals with peer learning and, in particular, with the phenomena of exclusion; it proposes to model a group of learners where everyone has his own behaviour that expresses his way of following a curriculum. The focus is on individ...
Digital media and misinformation: An outlook on multidisciplinary strategies against manipulation [0.03%]
数字媒体与误导信息：跨学科对策展望
Danielle Caled,Mário J Silva
Danielle Caled
This review discusses the dynamic mechanisms of misinformation creation and spreading used in social networks. It includes: (1) a conceptualization of misinformation and related terms, such as rumors and disinformation; (2) an analysis of t...
How does "A Bit of Everything American" state feel about COVID-19? A quantitative Twitter analysis of the pandemic in Ohio [0.03%]
美国俄亥俄州对新冠疫情的态度如何？基于Twitter的量化分析结果
Cantay Caliskan
Cantay Caliskan
COVID-19 has proven itself to be one of the most important events of the last two centuries. This defining moment in our lives has created wide-ranging discussions in many segments of our societies, both politically and socially. Over time,...
#Election2020: the first public Twitter dataset on the 2020 US Presidential election [0.03%]
#Election2020：关于2020年美国大选的第一个公共Twitter数据集
Emily Chen,Ashok Deb,Emilio Ferrara
Emily Chen
Credible evidence-based political discourse is a critical pillar of democracy and is at the core of guaranteeing free and fair elections. The study of online chatter is paramount, especially in the wake of important voting events like the r...
Classifying crime places by neighborhood visual appearance and police geonarratives: a machine learning approach [0.03%]
基于社区视觉外观和警察地叙事的犯罪地点分类：一种机器学习方法
Md Amiruzzaman,Andrew Curtis,Ye Zhao et al.
Md Amiruzzaman et al.
The complex interrelationship between the built environment and social problems is often described but frequently lacks the data and analytical framework to explore the potential of such a relationship in different applications. We address ...