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Articles 1321 - 1350 of 4827

Full-Text Articles in Computer Sciences

Estimating Stranded Coal Assets In China's Power Sector, Weirong Zhang, Mengjia Ren, Junjie Kang, Yiou Zhou, Jiahai Yuan Apr 2022

Estimating Stranded Coal Assets In China's Power Sector, Weirong Zhang, Mengjia Ren, Junjie Kang, Yiou Zhou, Jiahai Yuan

Research Collection School Of Computing and Information Systems

China has suffered overcapacity in coal power since 2016. With growing electricity demand and an economic crisis due to the Covid-19 pandemic, China faces a dilemma between easing restrictive policies for short-term growth in coal-fired power production and keeping restrictions in place for long-term sustainability. In this paper, we measure the risks faced by China's coal power units to become stranded in the next decade and estimate the associated economic costs for different shareholders. By implementing restrictive policies on coal power expansion, China can avoid 90% of stranded coal assets by 2025.

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The Illusion Of Agency In Human–Computer Interaction, Michael Madary Apr 2022

The Illusion Of Agency In Human–Computer Interaction, Michael Madary

College of the Pacific Faculty Articles

This article makes the case that our digital devices create illusions of agency. There are times when users feel as if they are in control when in fact they are merely responding to stimuli on the screen in predictable ways. After the introduction, the second section of the article offers examples of illusions of agency that do not involve human–computer interaction in order to show that such illusions are possible and not terribly uncommon. The third and fourth sections of the article cover relevant work from empirical psychology, including the cues that are known to generate the sense of agency. …

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A Survey On Modern Deep Neural Network For Traffic Prediction: Trends, Methods And Challenges, David Alexander Tedjopumomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, Kai Qin Apr 2022

A Survey On Modern Deep Neural Network For Traffic Prediction: Trends, Methods And Challenges, David Alexander Tedjopumomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, Kai Qin

Research Collection School Of Computing and Information Systems

In this modern era, traffic congestion has become a major source of negative economic and environmental impact for urban areas worldwide. One of the most efficient ways to mitigate traffic congestion is through future traffic prediction. The field of traffic prediction has evolved greatly ever since its inception in the late 70s. Earlier studies mainly use classical statistical models such as ARIMA and its variants. Then, researchers started to focus on machine learning models due to their power and flexibility. As theoretical and technological advances emerge, we enter the era of deep neural network, which gained popularity due to its …

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Afnd: Arabic Fake News Dataset For The Detection And Classification Of Articles Credibility, Ashwaq Khalil, Moath Jarrah, Monther Aldwairi, Manar Jaradat Apr 2022

Afnd: Arabic Fake News Dataset For The Detection And Classification Of Articles Credibility, Ashwaq Khalil, Moath Jarrah, Monther Aldwairi, Manar Jaradat

All Works

The news credibility detection task has started to gain more attention recently due to the rapid increase of news on different social media platforms. This article provides a large, labeled, and diverse Arabic Fake News Dataset (AFND) that is collected from public Arabic news websites. This dataset enables the research community to use supervised and unsupervised machine learning algorithms to classify the credibility of Arabic news articles. AFND consists of 606912 public news articles that were scraped from 134 public news websites of 19 different Arab countries over a 6-month period using Python scripts. The Arabic fact-check platform, Misbar, is …

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Objective Measure Of Working Memory Capacity Using Eye Movements, James Owens, Gavindya Jayawardena, Yasasi Abeysinghe, Vikas G. Ashok, Sampath Jayarathna Mar 2022

Objective Measure Of Working Memory Capacity Using Eye Movements, James Owens, Gavindya Jayawardena, Yasasi Abeysinghe, Vikas G. Ashok, Sampath Jayarathna

Undergraduate Research Symposium

Human-autonomy teaming (HAT) has become an important area of research due to the autonomous systems being developed for different applications, such as remotely controlled aircraft. Many remotely controlled vehicles will be controlled by automated systems, with a human monitor that may be monitoring multiple vehicles simultaneously. The attention and working memory capacity of operators of remote-controlled vehicles must be maintained at appropriate levels during operation. However, there is currently no direct method of determining working memory capacity, which is important because it is a measure for how memory is being stored for a short term and interacting with long term …

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Pad Beyond The Classroom: Integrating Pad In The Scrum Workplace, Jade S. Weiss Mar 2022

Pad Beyond The Classroom: Integrating Pad In The Scrum Workplace, Jade S. Weiss

USF Tampa Graduate Theses and Dissertations

Purpose: The “story” format used in Scrum ticket writing is confusing to developers and leadsto insufficient ticket content, which lends to miscommunication between team members and administrators, and disrupts workflow from the bottom up. A burgeoning methodology in Technical Writing, Purpose, Audience, Design (PAD) is an alternative ticket format that is easier to teach developers and improves the aforementioned conditions than the existing “story” format. The goal of this paper is to lay out why and how PAD can benefit developers on smaller Scrum teams who are tasked with writing their own tickets. This paper does not offer solutions for …

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Fighting Gerrymandering By Automating Congressional Redistricting, Jacob Jenness Mar 2022

Fighting Gerrymandering By Automating Congressional Redistricting, Jacob Jenness

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

Gerrymandering is a political problem that the United States has had for more than 200 years. Politicians have taken the dull and routine process of drawing congressional districts and turned it into a highly-partisan process. However, with recent improvements in redistricting algorithms, researchers Harry Levin and Sorelle Friedler have introduced their recursive Divide and Conquer Redistricting Algorithm. This algorithm has the potential to automate the process of congressional redistricting, thereby removing the potential for bias. By utilizing a set of partitioning and swapping algorithms, the Divide and Conquer Redistricting Algorithm achieves desirable goals, such as low population deviation, and high …

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Trust In Robotics: A Multi-Staged Decision-Making Approach To Robots In Community, Wenxi Zhang, Willow Wong, Mark Findlay Mar 2022

Trust In Robotics: A Multi-Staged Decision-Making Approach To Robots In Community, Wenxi Zhang, Willow Wong, Mark Findlay

Centre for AI & Data Governance (2019-2025)

Pivoting on the desired outcome of social good within the wider robotics ecosystem, trust is identified as the central adhesive of the HRI interface. However, building trust between humans and robots involves more than improving the machine’s technical reliability or trustworthiness in function. This paper presents a holistic, community-based approach to trust-building, where trust is understood as a multifaceted and multi-staged looped relation that depends heavily on context and human perceptions. Building on past literature that identifies dispositional and learned stages of trust, our proposed Decision to Trust model considers more extensively the human and situational factors influencing how trust …

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Understanding Cybercrime Offending And Victimization Patterns From A Global Perspective, Jin R. Lee Mar 2022

Understanding Cybercrime Offending And Victimization Patterns From A Global Perspective, Jin R. Lee

International Journal of Cybersecurity Intelligence & Cybercrime

Cybercrime research within criminology and criminal justice sciences has increased over the past few decades, improving the knowledge and evidence-base around cybercrime offending and victimization generally. While earlier cybercrime studies were based primarily in the United States, there has been a recent surge in studies using international samples and multidisciplinary approaches to understand cybercrime patterns. The current issue of the International Journal of Cybersecurity Intelligence and Cybercrime consists of four articles that seek to advance our understanding of cybercrime behaviors from a global perspective. To that end, the objective of this paper is to provide a brief overview of the …

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Autonomous, Long-Range, Sensor Emplacement Using Unmanned Aircraft Systems, Adam Plowcha, Justin Bradley, Jacob Hoberg, Thomas Ammon, Mark Nail, Brittany Duncan, Carrick Detweiler Mar 2022

Autonomous, Long-Range, Sensor Emplacement Using Unmanned Aircraft Systems, Adam Plowcha, Justin Bradley, Jacob Hoberg, Thomas Ammon, Mark Nail, Brittany Duncan, Carrick Detweiler

School of Computing: Faculty Publications

Automated, in-ground sensor emplacement can significantly improve remote, terrestrial, data collection capabilities. Utilizing a multicopter, unmanned aircraft system (UAS) for this purpose allows sensor insertion with minimal disturbance to the target site or surrounding area. However, developing an emplacement mechanism for a small multicopter, autonomy to manage the target selection and implantation process, as well as long-range deployment are challenging to address. We have developed an autonomous, multicopter UAS that can implant subsurface sensor devices. We enhanced the UAS autopilot with autonomy for target and landing zone selection, as well as ensuring the sensor is implanted properly in the ground. …

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Broadband Internet Access: Equal Access And Opportunity For All, Erin Kotten, Emily Louks, Matt Frank, Marissa Mammenga Mar 2022

Broadband Internet Access: Equal Access And Opportunity For All, Erin Kotten, Emily Louks, Matt Frank, Marissa Mammenga

Master of Social Work Student Policy Advocacy Briefs

The internet has become the primary way households gain access to daily services, including education, healthcare, employment resources, and transportation. In 2016, the United Nations General Assembly designated internet access a basic human right. Millions of Americans are living in the digital divide. Low-wage workers, people of color, children, older adults, individuals with disabilities, the less educated, rural residents, and limited English-speaking households are among those most affected by lack of broadband access in Minnesota. Those without access experience social and economic inequalities. The COVID-19 pandemic heightened the need for broadband access. Minnesota must end the digital divide that limits …

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Perceptions Of Violations By Artificial And Human Actors Across Moral Foundations, Timothy Maninger, Daniel Burton Shank Mar 2022

Perceptions Of Violations By Artificial And Human Actors Across Moral Foundations, Timothy Maninger, Daniel Burton Shank

Psychological Science Faculty Research & Creative Works

Artificial agents such as robots, chatbots, and artificial intelligence systems can be the perpetrators of a range of moral violations traditionally limited to human actors. This paper explores how people perceive the same moral violations differently for artificial agent and human perpetrators by addressing three research questions: How wrong are moral foundation violations by artificial agents compared to human perpetrators? Which moral foundations do artificial agents violate compared to human perpetrators? What leads to increased blame for moral foundation violations by artificial agents compared to human perpetrators? We adapt 18 human-perpetrated moral violation scenarios that differ by the moral foundation …

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Exploring And Evaluating The Impact Of Covid-19 On Mobility Changes In Singapore, Aldy Gunawan, Linh Chi Tran, Kar Way Tan, I-Lin Wang Mar 2022

Exploring And Evaluating The Impact Of Covid-19 On Mobility Changes In Singapore, Aldy Gunawan, Linh Chi Tran, Kar Way Tan, I-Lin Wang

Research Collection School Of Computing and Information Systems

This paper analyzes the changes in mobility trends due to the impact of the COVID-19 pandemic in Singapore in the six different sectors: Retail and Recreation, Grocery and Pharmacy, Parks, Transit Stations, Workplaces and Residential. The period of observation is from 15 February 2020 to 18 August 2021. The observed patterns obtained from the descriptive data analysis sheds light on the effectiveness of social distancing measures in Singapore as well as the level of compliance among the country’s residents. Correlation analysis is used to explore the relationship between different sectors during the pandemic period. The results reveal a strong sense …

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The Relationship Between Parenting Practices And Cyberbullying Perpetration: The Mediating Role Of Moral Beliefs, Jaeyong Choi, Seungmug (Zech) Lee, Layne Dittmann Mar 2022

The Relationship Between Parenting Practices And Cyberbullying Perpetration: The Mediating Role Of Moral Beliefs, Jaeyong Choi, Seungmug (Zech) Lee, Layne Dittmann

International Journal of Cybersecurity Intelligence & Cybercrime

Criminologists and psychologists have long recognized that parenting practices can affect childhood outcomes and the development of moral beliefs in children. Another body of literature provides evidence that morality is a key cause of antisocial behavior. Yet, a noticeable gap in this line of work has been testing the mediation effects of parenting practices on cyberbullying via moral beliefs. Using a sample of South Korean adolescents, we tested whether moral beliefs mediate the relationships between parenting practices and cyberbullying perpetration. Results show that parental supervision and excessive parenting can influence cyberbullying perpetration and that the impact of parenting practices is …

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Social Construction Of Internet Fraud As Innovation Among Youths In Nigeria, Austin Ayodele Mr., Jonathan Kehinde Oyedeji, Huthman Olamide Badmos Mar 2022

Social Construction Of Internet Fraud As Innovation Among Youths In Nigeria, Austin Ayodele Mr., Jonathan Kehinde Oyedeji, Huthman Olamide Badmos

International Journal of Cybersecurity Intelligence & Cybercrime

The proliferation of internet technologies has shaped interactions in contemporary society. Despite the pivotal importance of the internet to the global economy, it has several negative consequences such as internet fraud. This study examined the perception that young adults in Nigeria hold about internet fraud as an innovative means to economic survival rather than as a criminal enterprise. Robert Merton’s Anomie/Strain Theory (AST) was adopted as the theoretical thrust of the study. Adopting a qualitative data collection method, 15 participants were selected using the non-probabilistic purposive and snowballing techniques while opinions were sampled through in-depth interviews in different locations within …

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Cybersecurity Risk In U.S. Critical Infrastructure: An Analysis Of Publicly Available U.S. Government Alerts And Advisories, Zachary Lanz Mar 2022

Cybersecurity Risk In U.S. Critical Infrastructure: An Analysis Of Publicly Available U.S. Government Alerts And Advisories, Zachary Lanz

International Journal of Cybersecurity Intelligence & Cybercrime

As threat actor operations become increasingly sophisticated and emphasize the targeting of critical infrastructure and services, the need for cybersecurity information sharing will continue to grow. Escalating demand for cyber threat intelligence and information sharing across the cybersecurity community has resulted in the need to better understand the information produced by reputable sources such as U.S. CISA Alerts and ICS-CERT advisories. The text analysis program, Profiler Plus, is used to extract information from 1,574 U.S. government alerts and advisories to develop visualizations and generate enhanced insights into different cyber threat actor types, the tactics which can be used for cyber …

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Human-Algorithm Collaboration Works Best If Humans Lead (Because It Is Fair!), David De Cremer, Jack Mcguire Mar 2022

Human-Algorithm Collaboration Works Best If Humans Lead (Because It Is Fair!), David De Cremer, Jack Mcguire

Research Collection Lee Kong Chian School Of Business

Autonomous algorithms are increasingly being used by organizations to reach ever increasing heights of organizational efficiency. The emerging business model of today therefore appears to be one where autonomous algorithms are gradually expanding their occupation into becoming a leading decision-maker, and humans by default become increasingly more subordinate to such decisions. We address the question of whether this business perspective is consistent with the sort of collaboration employees want to have with algorithms at work. We explored this question by investigating in what way humans preferred to collaborate with algorithms when making decisions. Using two experimental studies (Study 1, n …

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Heterogeneous Attentions For Solving Pickup And Delivery Problem Via Deep Reinforcement Learning, Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang Mar 2022

Heterogeneous Attentions For Solving Pickup And Delivery Problem Via Deep Reinforcement Learning, Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang

Research Collection School Of Computing and Information Systems

Recently, there is an emerging trend to apply deep reinforcement learning to solve the vehicle routing problem (VRP), where a learnt policy governs the selection of next node for visiting. However, existing methods could not handle well the pairing and precedence relationships in the pickup and delivery problem (PDP), which is a representative variant of VRP. To address this challenging issue, we leverage a novel neural network integrated with a heterogeneous attention mechanism to empower the policy in deep reinforcement learning to automatically select the nodes. In particular, the heterogeneous attention mechanism specifically prescribes attentions for each role of the …

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Analyzing The Impact Of Digital Payment On Efficiency And Productivity Of Commercial Banks: A Case Study In China, Haopeng Wang, Aldy Gunawan Mar 2022

Analyzing The Impact Of Digital Payment On Efficiency And Productivity Of Commercial Banks: A Case Study In China, Haopeng Wang, Aldy Gunawan

Research Collection School Of Computing and Information Systems

Digital payment has become one of the most popular payment methods all around the world, especially in countries that witnessed the rapid development of internet. As a traditional financial institution, commercial banks have been impacted by newly developed payment technology since third payment platforms have attracted customers to use the digital payment for daily consumption, transferring, and even investment. This paper focuses on analyzing whether and how the commercial banks in China have been affected by digital payment by using empirical methods. Systematic Generalized Method of Moments (SYS-GMM) is used to test the relationship between the productivity of commercial banks …

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Estimating Financial Information Asymmetry In Real Estate Transactions In China: An Application Of Two-Tier Frontier Model, Ganlin Pu, Ying Zhang, Li-Chen Chou Mar 2022

Estimating Financial Information Asymmetry In Real Estate Transactions In China: An Application Of Two-Tier Frontier Model, Ganlin Pu, Ying Zhang, Li-Chen Chou

Research Collection School Of Computing and Information Systems

This study applies the two-tier stochastic frontier model to estimate the distribution of housing transaction information in Hangzhou, Wenzhou, Ningbo, and Jinhua (four cities in Zhejiang Province, China) during the year 2018, to analyze the difference in the price information acquired by the buyers and sellers in the transaction, and the effect of information asymmetry on the transaction price. The empirical results show that in each city, during the housing transaction process, the supplier has more complete information about house prices than consumers, and can therefore implement price discrimination strategies in setting service prices. Due to the disadvantage in acquired …

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The Impact Of Ride-Hail Surge Factors On Taxi Bookings, Sumit Agarwal, Ben Charoenwong, Shih-Fen Cheng, Jussi Keppo Mar 2022

The Impact Of Ride-Hail Surge Factors On Taxi Bookings, Sumit Agarwal, Ben Charoenwong, Shih-Fen Cheng, Jussi Keppo

Research Collection School Of Computing and Information Systems

We study the role of ride-hailing surge factors on the allocative efficiency of taxis by combining a reduced-form estimation with structural analyses using machine-learning-based demand predictions. Where other research study the effect of entry on incumbent taxis, we use higher frequency granular data to study how location-time-specific surge factors affect taxi bookings to bound the effect of customer decisions while accounting for various confounding variables. We find that even in a unique market like Singapore, where incumbent taxi companies have app-based booking systems similar to those from ride-hailing companies like Uber, the estimated upper bound on the cross-platform substitution between …

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Designing Respectful Tech: What Is Your Relationship With Technology?, Noreen Y. Whysel Feb 2022

Designing Respectful Tech: What Is Your Relationship With Technology?, Noreen Y. Whysel

Publications and Research

According to research at the Me2B Alliance, people feel they have a relationship with technology. It’s emotional. It’s embodied. And it’s very personal. We are studying digital relationships to answer questions like “Do people have a relationship with technology?” “What does that relationship feel like?” And “Do people understand the commitments that they are making when they explore, enter into and dissolve these relationships?” There are parallels between messy human relationships and the kinds of relationships that people develop with technology. As with human relationships, we move through states of discovery, commitment and breakup with digital applications as well. Technology …

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Thoughts On Data-Driven Discursive Logic And Triangulation Of Think Tank, Jianjun Sun, Lei Pei, Yaxue Ma, Yang Li Feb 2022

Thoughts On Data-Driven Discursive Logic And Triangulation Of Think Tank, Jianjun Sun, Lei Pei, Yaxue Ma, Yang Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

The rapid accumulation of data resources and the development of analysis technologies have expanded the scope of think tank research, and prompted think tanks to pay more attention to data intelligence. Meanwhile, higher requirements are put forward on the quality and innovation of the think tank. Facing the development needs of think tanks, i.e., modernization, innovation, and conscientization, this paper demonstrates the change of data-driven think tank researches from the perspective of the information chain. The paper analyzes the urgent need to reshape the discursive logic of the think tank, and discusses the construction scheme of triangulation for data-driven think …

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Comparing Online Surveys For Cybersecurity: Sona And Mturk, Anne Wagner, Anna Bakas, Shelia Kennison, Eric Chan-Tin Feb 2022

Comparing Online Surveys For Cybersecurity: Sona And Mturk, Anne Wagner, Anna Bakas, Shelia Kennison, Eric Chan-Tin

Computer Science: Faculty Publications and Other Works

People have many accounts and usually need to create a password for each. They tend to create insecure passwords and re-use passwords, which can lead to compromised data. This research examines if there is a link between personality type and password security among a variety of participants in two groups of participants: SONA and MTurk. Each participant in both surveys answered questions based on password security and their personality type. Our results show that participants in the MTurk survey were more likely to choose a strong password and to exhibit better security behaviors and knowledge than participants in the SONA …

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In A Digitally Connected World Through Likes, Hashtags And Followers - Advancing Surgical Research Through A Social Media: A Narrative Review, Sabah Uddin Saqib, Qamar` Riaz, Russell Seth Martins, Amna Riaz, Hasnain Zafar Feb 2022

In A Digitally Connected World Through Likes, Hashtags And Followers - Advancing Surgical Research Through A Social Media: A Narrative Review, Sabah Uddin Saqib, Qamar` Riaz, Russell Seth Martins, Amna Riaz, Hasnain Zafar

Department for Educational Development

In this era of modern information technology, the world is now digitally connected through various platforms on social media, which has changed the way medical professionals work, communicate and learn. The use of social media in surgery is expanding, and it is now becoming an essential tool for surgical training, research and networking. Articles, journal clubs and surgical conferences are within reach of everyone regardless of geographical location worldwide. Electronic publications have now resoundingly replaced printed editions of journals. Collaborative research through social media platforms helps collect diverse data, enhancing the research's global generalisability. The current narrative review was planned …

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Usability Of Health-Related Websites By Filipino-American Adults And Nursing Informatics Experts, Kathleen Begonia Feb 2022

Usability Of Health-Related Websites By Filipino-American Adults And Nursing Informatics Experts, Kathleen Begonia

Dissertations, Theses, and Capstone Projects

Filipino-Americans are an understudied minority group with high prevalence and mortality from chronic conditions, such as cardiovascular disease and diabetes. Facing barriers to care and lack of culturally appropriate health resources, they frequently use the internet to obtain health information. It is unknown whether they perceive health-related websites to be useful or easy to use because there are no published usability studies involving this population. Using the Technology Acceptance Model as a theoretical framework, this study investigated the difference between website design ratings by experts and the perceptions of Filipino-American users to determine if usability guidelines influenced the perceived ease …

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What Really Matters?: Characterising And Predicting User Engagement Of News Postings Using Multiple Platforms, Sentiments And Topics, Kholoud K. Aldous, Jisun An, Bernard J. Jansen Feb 2022

What Really Matters?: Characterising And Predicting User Engagement Of News Postings Using Multiple Platforms, Sentiments And Topics, Kholoud K. Aldous, Jisun An, Bernard J. Jansen

Research Collection School Of Computing and Information Systems

This research characterises user engagement of approximately 3,000,000 news postings of 53 news outlets and 50,000,000 associated user comments during 8 months on 5 social media platforms (i.e. Facebook, Instagram, Twitter, YouTube, and Reddit). We investigate the effect of sentiments and topics on user engagement across four levels of user engagement expressions (i.e. views, likes, comments, cross-platform posting). We find that sentiments and topics differ by both news outlets and social media platforms, and both sentiments and topics by the four levels of user engagement expression. Finally, we predict a volume of four user engagement levels for given news content, …

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Combatting Digital Addiction: Current Approaches And Future Directions, Deniz Cemiloglu, Mohamed Basel Almourad, John Mcalaney, Raian Ali Feb 2022

Combatting Digital Addiction: Current Approaches And Future Directions, Deniz Cemiloglu, Mohamed Basel Almourad, John Mcalaney, Raian Ali

All Works

In recent years, the notion of digital addiction has become popular. Calls for solutions to combat it, especially in adolescents, are on the rise. Whilst there remains debate on the status of this phenomenon as a diagnosable mental health condition; there is a need for prevention and intervention approaches that encourage individuals to have more control over their digital usage. This narrative review examines digital addiction countermeasures proposed in the last ten years. By countermeasures, we mean strategies and techniques for prevention, harm reduction, and intervention towards addictive digital behaviours. We include studies published in peer-reviewed journals between 2010 and …

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New-Media Advertising And Retail Platform Openness, Jianqing Chen, Zhiling Guo Feb 2022

New-Media Advertising And Retail Platform Openness, Jianqing Chen, Zhiling Guo

Research Collection School Of Computing and Information Systems

We recently have witnessed two important trends in online retailing: the advent of new media (e.g., social media and search engines) makes advertising affordable for small sellers, and large online retailers (e.g., Amazon and JD.com) opening their platforms to allow even direct competitors to sell on their platforms. We examine how new-media advertising affects retail platform openness. We develop a game-theoretic model in which a leading retailer, who has both valuation and awareness advantages, and a third-party seller, who sells an identical product, engage in price competition. We find that the availability of relatively low-cost advertising through new media plays …

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Including Everyone, Everywhere: Understanding Opportunities And Challenges Of Geographic Gender-Inclusion In Oss, Gede Artha Azriadi Prana, Denae Ford, Ayushi Rastogi, David Lo, Rahul Purandare, Nachiappan Nagappan Feb 2022

Including Everyone, Everywhere: Understanding Opportunities And Challenges Of Geographic Gender-Inclusion In Oss, Gede Artha Azriadi Prana, Denae Ford, Ayushi Rastogi, David Lo, Rahul Purandare, Nachiappan Nagappan

Research Collection School Of Computing and Information Systems

The gender gap is a significant concern facing the software industry as the development becomes more geographically distributed. Widely shared reports indicate that gender differences may be specific to each region. However, how complete can these reports be with little to no research reflective of the Open Source Software (OSS) process and communities software is now commonly developed in? Our study presents a multi-region geographical analysis of gender inclusion on GitHub. This mixed-methods approach includes quantitatively investigating differences in gender inclusion in projects across geographic regions and investigate these trends over time using data from contributions to 21,456 project repositories. …

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