Corrigendum to 'Technostress causes cognitive overload in high-stress people: Eye tracking analysis in a virtual kiosk test'; Information Processing & Management 59 (2022) 103093 /6 [0.03%]
“技术压力会导致高压力人群的认知超载：虚拟自助服务终端测试中的眼动分析”一文中的一处勘误/6
Se Young Kim,Hahyeon Park,Hongbum Kim et al.
Se Young Kim et al.
[This corrects the article DOI: 10.1016/j.ipm.2022.103093.]. © 2023 The Authors.
Published Erratum
Information processing & management. 2023 Jul;60(4):103346. DOI:10.1016/j.ipm.2023.103346 2023
Liesbeth Allein,Marie-Francine Moens,Domenico Perrotta
Liesbeth Allein
A news article's online audience provides useful insights about the article's identity. However, fake news classifiers using such information risk relying on profiling. In response to the rising demand for ethical AI, we present a profiling...
Public opinion changing patterns under the double-hazard scenario of natural disaster and public health event [0.03%]
自然灾害与公共卫生事件双重威胁下的公众意见演化规律研究
Zilin Xie,Wenguo Weng,Yufeng Pan et al.
Zilin Xie et al.
In the context of the COVID-19 epidemic, a "double-hazard scenario" consisting of a natural disaster and a public health event occurring simultaneously is likely to arise. Focusing on this double-hazard scenario, this study developed a new ...
Configurational patterns for COVID-19 related social media rumor refutation effectiveness enhancement based on machine learning and fsQCA [0.03%]
基于机器学习和fsQCA的新冠肺炎相关社交媒体谣言辟谣效果增强构念模式研究
Zongmin Li,Ye Zhao,Tie Duan et al.
Zongmin Li et al.
Infodemics are intertwined with the COVID-19 pandemic, affecting people's perception and social order. To curb the spread of COVID-19 related false rumors, fuzzy-set qualitative comparative analysis (fsQCA) is used to find configurational p...
Gender and sex bias in COVID-19 epidemiological data through the lens of causality [0.03%]
透过因果关系的视角看COVID-19流行病学数据中的性别和性别的偏差问题
Natalia Díaz-Rodríguez,Rūta Binkytė,Wafae Bakkali et al.
Natalia Díaz-Rodríguez et al.
The COVID-19 pandemic has spurred a large amount of experimental and observational studies reporting clear correlation between the risk of developing severe COVID-19 (or dying from it) and whether the individual is male or female. This pape...
Characterizing the dissemination of misinformation on social media in health emergencies: An empirical study based on COVID-19 [0.03%]
卫生紧急情况中社交媒体虚假信息传播特征研究——以COVID-19为例
Cheng Zhou,Haoxin Xiu,Yuqiu Wang et al.
Cheng Zhou et al.
The dissemination of misinformation in health emergencies poses serious threats to public health and increases health anxiety. To understand the underlying mechanism of the dissemination of misinformation regarding health emergencies, this ...
Optimism and pessimism analysis using deep learning on COVID-19 related twitter conversations [0.03%]
利用深度学习对与COVID-19相关的推特对话进行乐观和悲观分析
Guillermo Blanco,Anália Lourenço
Guillermo Blanco
This paper proposes a new deep learning approach to better understand how optimistic and pessimistic feelings are conveyed in Twitter conversations about COVID-19. A pre-trained transformer embedding is used to extract the semantic features...
Analyzing the impact of social networks and social behavior on electronic business during COVID-19 pandemic [0.03%]
分析COVID-19大流行期间社交网络和社交行为对电子商务的影响
Cheng Luo
Cheng Luo
The Covid-19 pandemic caused substantial changes, particularly concerning marketing, which led to high digital use. Social networking enables people to communicate easily with others and provides marketers with many ways to interact with co...
Do you see what I see? Images of the COVID-19 pandemic through the lens of Google [0.03%]
你看到我所看到的吗？通过谷歌镜头看COVID-19疫情的画面
Monica Lestari Paramita,Kalia Orphanou,Evgenia Christoforou et al.
Monica Lestari Paramita et al.
During times of crisis, information access is crucial. Given the opaque processes behind modern search engines, it is important to understand the extent to which the "picture" of the Covid-19 pandemic accessed by users differs. We explore v...
Junxiao Xue,Yabo Wang,Yichen Tian et al.
Junxiao Xue et al.
During the outbreak of the new Coronavirus (2019-nCoV) in 2020, the spread of fake news has caused serious social panic. Fake news often uses multimedia information such as text and image to mislead readers, spreading and expanding its infl...