Is #SDG13 Trending Online? Insights from Climate Change Discussions on Twitter [0.03%]
气候变迁在社交网站上的影响力分析：以推特为例
Prabhsimran Singh,Surleen Kaur,Abdullah M Baabdullah et al.
Prabhsimran Singh et al.
Anthropogenic activities over the past few decades have led to increased vulnerability of environmental and ecological stability on this planet. Accelerated climate change is one such subset of the environmental problems that threatens the ...
Digital Resilience in Dealing with Misinformation on Social Media during COVID-19: A Web Application to Assist Users in Crises [0.03%]
新冠肺炎疫情期间社交媒体上应对谣言的数字韧性研究——危机中协助用户的应用程序支持
Stefka Schmid,Katrin Hartwig,Robert Cieslinski et al.
Stefka Schmid et al.
In crises such as the COVID-19 pandemic, it is crucial to support users when dealing with social media content. Considering digital resilience, we propose a web app based on Social Network Analysis (SNA) to provide an overview of potentiall...
The Interplay of E-commerce, Resilience and Exports in the Context of COVID-19 [0.03%]
新冠肺炎疫情下的电子商务、韧性与出口之间的相互作用关系分析
Adah-Kole Emmanuel Onjewu,Sundas Hussain,Mohamed Yacine Haddoud
Adah-Kole Emmanuel Onjewu
Scholars have extolled e-commerce as a pathway for sustaining firm operations in the unique circumstances of COVID-19. To add crisis time evidence to the body of work, and based on World Bank Enterprise Survey data, this inquiry interrogate...
Fraud Detection in Mobile Payment Systems using an XGBoost-based Framework [0.03%]
基于XGBoost框架的手机支付系统中的反欺诈技术研究
Petr Hajek,Mohammad Zoynul Abedin,Uthayasankar Sivarajah
Petr Hajek
Mobile payment systems are becoming more popular due to the increase in the number of smartphones, which, in turn, attracts the interest of fraudsters. Extant research has therefore developed various fraud detection methods using supervised...
Impact of Digital Assistant Attributes on Millennials' Purchasing Intentions: A Multi-Group Analysis using PLS-SEM, Artificial Neural Network and fsQCA [0.03%]
数字助理属性对千禧一代购买意向的影响：一种基于PLS-SEM、人工神经网络和fsQCA的多群体分析方法研究
Manu Sharma,Sudhanshu Joshi,Sunil Luthra et al.
Manu Sharma et al.
The rising population of millennials, coupled with Digital Assistants (DA) and online purchasing trends among consumers have gained increasing attention by global marketers. The study evaluates the influence of DA attributes on the purchasi...
Does Fake News in Different Languages Tell the Same Story? An Analysis of Multi-level Thematic and Emotional Characteristics of News about COVID-19 [0.03%]
假新闻的语言差异会改变其内容倾向吗？基于新冠疫情的假新闻多层主题与情感特征分析
Lina Zhou,Jie Tao,Dongsong Zhang
Lina Zhou
Fake news is being generated in different languages, yet existing studies are dominated by English news. The analysis of fake news content has focused on lexical and stylometric features, giving little attention to semantic features. A few ...
A Theory-based Deep-Learning Approach to Detecting Disinformation in Financial Social Media [0.03%]
基于理论的深度学习方法检测金融社交媒体中的虚假信息
Wingyan Chung,Yinqiang Zhang,Jia Pan
Wingyan Chung
The spreading of disinformation in social media threatens cybersecurity and undermines market efficiency. Detecting disinformation is challenging due to large volumes of social media content and a rapidly changing environment. This research...
Scenario-Based Distributionally Robust Unit Commitment Optimization Involving Cooperative Interaction with Robots [0.03%]
基于场景的机器人协同交互分布式鲁棒机组组合优化方法
Xuanning Song,Bo Wang,Pei-Chun Lin et al.
Xuanning Song et al.
With the increasing penetration of renewable energy, uncertainty has become the main challenge of power systems operation. Fortunately, system operators could deal with the uncertainty by adopting stochastic optimization (SO), robust optimi...
Clinton Daniel,Matthew Mullarkey,Manish Agrawal
Clinton Daniel
This research contributes to the knowledge of how Information Systems (IS) researchers can iteratively intervene with practitioners to co-create instructional programs with a framework designed for fast-paced, rapidly changing IS fields suc...
Understanding the Design Elements Affecting User Acceptance of Intelligent Agents: Past, Present and Future [0.03%]
影响用户接受智能代理的设计要素：过去、现在和未来
Edona Elshan,Naim Zierau,Christian Engel et al.
Edona Elshan et al.
Intelligent agents (IAs) are permeating both business and society. However, interacting with IAs poses challenges moving beyond technological limitations towards the human-computer interface. Thus, the knowledgebase related to interaction w...