Adaptive cost-sensitive stance classification model for rumor detection in social networks [0.03%]
基于社交网络谣言检测的自适应代价敏感态度分类模型
Zahra Zojaji,Behrouz Tork Ladani
Zahra Zojaji
As online social networks are experiencing extreme popularity growth, determining the veracity of online statements denoted by rumors automatically as earliest as possible is essential to prevent the harmful effects of propagating misinform...
Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study [0.03%]
自动检测和理解COVID-19疫苗接种的感知：一个中东国家的案例研究
Wajdi Aljedaani,Ibrahem Abuhaimed,Furqan Rustam et al.
Wajdi Aljedaani et al.
Introduction: The development of COVID-19 vaccines has been a great relief in many countries that have been affected by the pandemic. As a result, many governments have made significant efforts to purchase and administer ...
Detection and moderation of detrimental content on social media platforms: current status and future directions [0.03%]
社交媒体平台有害内容的检测与管控：现状与未来方向
Vaishali U Gongane,Mousami V Munot,Alwin D Anuse
Vaishali U Gongane
Social Media has become a vital component of every individual's life in society opening a preferred spectrum of virtual communication which provides an individual with a freedom to express their views and thoughts. While virtual communicati...
Multidimensional racism classification during COVID-19: stigmatization, offensiveness, blame, and exclusion [0.03%]
新冠肺炎期间的多维种族分类：污名化、冒犯、责备和排斥
Xin Pei,Deval Mehta
Xin Pei
Transcending the binary categorization of racist texts, our study takes cues from social science theories to develop a multidimensional model for racism detection, namely stigmatization, offensiveness, blame, and exclusion. With the aid of ...
A data-centric artificial intelligent and extended reality technology in smart healthcare systems [0.03%]
以数据为中心的人工智能和扩展现实技术在智慧医疗系统中的应用
Tawseef Ayoub Shaikh,Tabasum Rasool Dar,Shabir Sofi
Tawseef Ayoub Shaikh
Extended reality (XR) solutions are quietly maturing, and their novel use cases are already being investigated, particularly in the healthcare industry. By 2022, the extended reality market is anticipated to be worth $209 billion. Certain d...
Amir Javed,Ruth Ikwu,Pete Burnap et al.
Amir Javed et al.
This paper tests disruption strategies in Twitter networks containing malicious URLs used in drive-by download attacks. Cybercriminals use popular events that attract a large number of Twitter users to infect and propagate malware by using ...
How coordinated link sharing behavior and partisans' narrative framing fan the spread of COVID-19 misinformation and conspiracy theories [0.03%]
协同转发行为和各持己见者的叙述框架如何助推新冠肺炎疫情虚假信息与阴谋论的传播
Anatoliy Gruzd,Philip Mai,Felipe Bonow Soares
Anatoliy Gruzd
This study examines the presence and role of Coordinated Link Sharing Behavior (CLSB) on Facebook around the "America's Frontline Doctors" press conference, and the promotion of several unproven conspiracy theories including the false asser...
Epidemic forecasting based on mobility patterns: an approach and experimental evaluation on COVID-19 Data [0.03%]
基于流动模式的流行病预测：对COVID-19数据的方法及试验评估
Maria Pia Canino,Eugenio Cesario,Andrea Vinci et al.
Maria Pia Canino et al.
During an epidemic, decision-makers in public health need accurate predictions of the future case numbers, in order to control the spread of new cases and allow efficient resource planning for hospital needs and capacities. In particular, c...
Bibliometric analysis of the published literature on machine learning in economics and econometrics [0.03%]
机器学习在经济学和计量经济学文献中的 bibliometric分析
Ebru Çağlayan Akay,Naciye Tuba Yılmaz Soydan,Burcu Kocarık Gacar
Ebru Çağlayan Akay
An extensive literature providing information on published materials in machine learning exists. However, machine learning is still a rather new concept in the fields of economics and econometrics. This study aims to identify different prop...
Mustafa Alassad,Nitin Agarwal
Mustafa Alassad
Focal structures are key sets of individuals who may be responsible for coordinating events, protests, or leading citizen engagement efforts on social media networks. Discovering focal structures that are able to promote online social campa...