Core Users Research Articles

Development of a Cybercrime Information Management System

This study implements and evaluates a Cybercrime Information Management System (CIMS) designed to enhance cybercrime reporting, investigation, and resolution. Through a pilot test involving law enforcement personnel, IT administrators, and volunteer users, the system’s performance was measured across three core metrics incident detection accuracy, response time, and user satisfaction. Results indicate a 92% accuracy rate for identifying cybercrime incidents and an average response time of 2.1 seconds, demonstrating a marked improvement over traditional manual methods. A 4.4 (±0.6) user satisfaction rating further highlights the system’s usability and perceived data security. Comparative analysis also revealed a rise in cybercrime reporting from 30 to 110 cases, accompanied by a decrease in average case resolution time from 15 to 7 days and an increase in closure rate from 43% to 68%. Qualitative feedback underscored enhanced ease of use, bolstered data security confidence, and more efficient administrative workflows. Despite challenges related to interoperability with legacy systems, staff training, and long-term maintenance, the CIMS’s positive outcomes suggest that ongoing refinements such as mobile integration, expanded threat intelligence, and international collaboration can fortify cybercrime prevention and response on a broader scale.

Scientists, but deny science? Climate change sceptics networks on YouTube led by scientists

Introduction. Climate change debates have divided our society more than ever. Despite most scientists believing in anthropogenic climate change, a small group of people with scientific knowledge and reasoning are denying it. Method. In this paper, we collect YouTube video comments’ data to study the content posted by climate change sceptical scientists and their impact on comment social networks. Analysis. We apply natural language processing and social networks analyses to study those comments and networks. Results. We find that denying scientists question the validity of anthropogenic climate change using objective terms such as ‘Co2’, ‘history’, ‘data’, etc., while non-scientists rarely mention these terms, instead frequently using words like ‘money’, ‘truth’. Scientists-led social networks are also more structured with significant core users, while non-scientists-led networks have smaller and fragmented groups, indicating scientists-led discussions on climate change are more stable and consistent. Conclusions. Scientists who deny human-caused climate change cast greater influence on the climate change denying social networks. Their opinions using more scientific terms cause the networks to be more centralized and form more consistent patterns.

When engagement meets departure: how social capital, social engagement and social support impact churn within online health communities

PurposeOnline health communities can be both supportive and vulnerable and highly rely on stable engagement from core members. Understanding the factors affecting core member churn is vital. This study examines a hair-loss-related online health community, taking a meso-level community approach. It investigates how users’ potential social capital, proactive social engagement and received social support in the community influence their churn.Design/methodology/approachThis study collected the complete dataset spanning 13 years from a hair-loss-related online health community in mainland China. It identified 4,270 core users with over ten posted messages each, along with their associated text. Social network analysis and survival analysis were then used to calculate user node centrality and create a hazard model for user churn.FindingsThe findings indicate that increased social capital and social support can help prevent churn. However, higher social engagement alone does not directly reduce users’ likelihood to withdraw. Instead, users are more likely to stay in the community when highly engaged if they also receive substantial social support. Social support emerges as a critical factor in this mechanism.Originality/valueThis study innovatively adopts a meso-level community perspective, investigating user churn within an online health community for individuals with a self-limiting condition – hair loss. The research probes the interactive effects of user engagement and social support on churn within the online health community. Advice on sustaining member participation is given based on the findings as well as Chinese culture.

A Study on the User Perception Analysis of Sports Wearable Using Textmining

This study explored consumer perceptions of sports wearables, focusing on the growing demand for personal health monitoring. Utilizing the Textom platform, key keywords were extracted from data collected between August 2023 and July 2024. Text mining identified significant keywords, which were refined, and 50 key terms were selected for frequency analysis. The matrix file generated was used for semantic network analysis, and centrality indicators were calculated, followed by CONCOR analysis to categorize keywords into groups based on structural equivalence. The analysis revealed that Wearable, Sports, and Watch were the most frequent keywords, underscoring their importance in the sports sector. Semantic network analysis showed high centrality for these keywords, reflecting their significant role in the sports wearable ecosystem. CONCOR analysis categorized the keywords into five groups: core technology, market influence, user experience, brand impact, and performance enhancement. These findings provide valuable insights for industry development and market strategies. Academically, this study suggests further research on the convergence of wearable technology with sports, and the development of models predicting consumer preferences. Practically, it emphasizes the need for technological innovation, enhanced user experience, and strengthened brand value in product development. The study’s limitations include data scope, suggesting future research should expand data sources and integrate qualitative approaches for a deeper understanding of consumer perceptions, alongside long-term studies on wearable device impacts.

Development of a Web-Based Educational Management System for a Technology Vocational High School in Banda Aceh, Indonesia

This study explores developing and implementing a web-based Management Information System (MIS) tailored for SMK Negeri 2 Banda Aceh, a vocational school in Indonesia. To enhance administrative efficiency and address unique challenges in vocational education, the system centralizes tasks such as attendance tracking, academic record management, and internship coordination. Employing the waterfall model, this project proceeded through structured phases, including requirements analysis, system design, development, and usability testing. A sample of 50 users, comprising students, teachers, and school operators, evaluated the system based on usability, interface design, and information clarity through a questionnaire, yielding high satisfaction scores. Reliability testing and correlation analysis revealed strong internal consistency across questionnaire items and identified critical factors influencing user satisfaction, such as interface appeal and effective error resolution. The results indicate that the system meets core user needs and contributes to a streamlined, user-friendly school management process. With implementation planning, user training, and ongoing maintenance, this MIS offers a sustainable solution that can serve as a model for vocational schools across Indonesia, showcasing the potential of digital solutions in advancing educational administration and supporting career readiness in vocational education.

User Sentiment Analysis of the Shared Charging Service for China’s G318 Route

Shared charging services have gained popularity for their contribution to green travel. Accurately identifying the core factors that influence user experience (UX) not only enhances service quality and optimizes user satisfaction, but also promotes the dissemination of green travel concepts. However, the influencing factors and their mechanisms vary significantly across regions, particularly along the Chengdu–Lhasa (G318) route, which features large elevation changes, diverse climatic conditions, rugged terrain, and frequent geological disasters, making the influencing factors particularly complex. This study analyzes comment texts from 38 shared charging stations along the G318 route in the e-Charging APP, totaling 15,214 comments. A comprehensive approach is employed, including high-frequency word analysis, term frequency–inverse document frequency (TF-IDF) comparison, co-occurrence semantic network and co-word matrix feature correlation analysis, Latent Dirichlet Allocation (LDA) topic modeling, and sentiment analysis. This multifaceted analysis explores core themes, user viewpoints, and sentiments in the comments, focusing on users’ perspectives on service quality, usage experience, and environmental impact of the charging stations. The findings indicate that charging speed, service attitude, environment, operational status of hardware and software, and pricing are key factors influencing user sentiment. Users have a high demand for the perfection of supporting facilities of shared charging stations, directly affecting user satisfaction and indirectly influencing the brand image and market competitiveness of enterprises.

Quality Evaluation and Optimization of Idle Goods Swap Platform Based on Grounded Theory and Importance–Performance Analysis

Given economic downturns and environmental concerns, promoting innovative consumption patterns is urgently needed. Swap is a promising collaborative consumption pattern that redistributes ownership of goods without using money. In the past, no research has focused on swap platform quality due to a lack of empirical resources. Therefore, this study aims to construct theoretical methods for evaluating and optimizing the quality of swap platforms. Analyzing consumer characteristics and motivations, the study creates a user profile that guides swap platforms’ market positioning. Then a quality evaluation model for swap platforms is constructed to identify areas for improvement. Data were collected from core users of a start-up swap platform in Shanghai, including 20 in-depth interviews and 180 survey questionnaires. The findings reveal that the main consumers in Shanghai’s swap market are highly educated women aged 20 to 40, with upper-middle incomes. They are motivated by functional, charitable, economic, and hedonic factors. Using grounded theory and the IPA method, this study developed a quality evaluation model for swap platforms, consisting of 18 indicators that clearly distinguish areas of weakness and strengths. This study provides valuable insights into the methodological research of quality evaluation for swap platforms and offers practical suggestions for their optimization.

Fighting Misinformation on Social Media: An Empirical Investigation of the Impact of Prominence Reduction Policies

Misinformation has dire implications for both public welfare and the operational aims of user-generated content platforms. As a result, platforms have adopted various content moderation policies aimed at decreasing the volume and impact of misinformation. However, implementing new platform policies runs the risk of decreasing user contribution and alienating core users, and results regarding the efficacy of such policies are mixed. Herein, we empirically assess a prominence reduction policy applied to a problematic group that is high in misinformation. The goal of this policy is to reduce the visibility of misinformation on the platform (rather than deleting misinformation or banning users). The results show that while prominence reduction diminishes misinformation dissemination in the focal group, this method also results in a spillover of misinformation to topically related spaces. This spillover is short-lived and driven primarily by a small set of problematic users. As misinformation is not contagious, we find that this spillover to external groups diminishes over time. Finally, prominence reduction is found to have no impact on non-misinformation contribution on the studied platform. The findings of this study have important implications for platform operations and provide useful recommendations for managers regarding effective ways to reduce the spread of misinformation.

Service System Design of a Community-Shared Medicine Station

Increasing health awareness has led to a rise in household medication storage, but problems of medication waste and expired medication contamination have been highlighted. We conducted in-depth interviews and developed user personas to comprehensively analyse users’ drug storage behaviours and motivations. Using a semiotic approach to product architecture design and the analytic hierarchy process (SAPAD-AHP) model, we explored core user needs. Additionally, we identified improper disposal of expired medication at home as a significant environmental issue. We propose a community-shared medicine service model aimed at reducing medication waste and pollution through sharing and recycling resources. This model enhances the utilisation of medical equipment, offers users convenient and eco-friendly health services, and promotes sustainable development.

A Hierarchical Authorization Reversible Data Hiding in Encrypted Image Based on Secret Sharing

In the current distributed environment, reversible data hiding in encrypted domain (RDH-ED) cannot grant corresponding privileges according to users’ identity classes. To address this issue, this paper proposes a hierarchical authorization structure embedding scheme based on secret image sharing (SIS) and users’ hierarchical identities. In the first embedding, the polynomial coefficient redundancy generated in the encryption process of the SIS is utilized by the image owner. For the second, the participants are categorized into two parts. One is core users with adaptive difference reservation embedding, and the other is ordinary users with pixel bit replacement embedding. At the time of reconstruction, more than one core user must provide pixel differences, which grants more privileges to core users. The experimental results demonstrate that the average embedding rate (ER) of the test images is 4.3333 bits per pixel (bpp) in the (3, 4) threshold scheme. Additionally, the reconstructed image achieves a PSNR of +∞ and an SSIM of 1. Compared to existing high-performance RDH-ED schemes based on secret sharing, the proposed scheme with a larger ER maintains strong security and reversibility. Moreover, it is also suitable for multiple embeddings involving multilevel participant identities. In conclusion, the results underscore the efficacy of our technique in achieving both security and performance objectives within a complex distributed setting.

Library user digital profiling: The structural and functional approach. (Part I)

This is the first of two articles on the problem. The theoretical significance of the article lies in the demonstration of the potential of library user digital profiles (DP). The author examines the following problem components: a) user DP structure with specifying the layers – subject, object, domain, communications, and b) layer function – identification, clusterization, filtration, and collaboration. For each layer, the dominant factors are identified that enable to model, structure and use DPs for proactive meeting of library users’ information demands. The practical value of the study lies in the DP development and application for services personalization: proactive building awareness of new acquisitions, digital user support and curation, support of research projects; reconciling library collection and the demands of core user groups (collection structure enhancement, changing of the policy of acquisitions, cataloguing, and library services promotion); need-demand interdependence through using DP information, which makes acquisitions and services more efficient; and accommodation of library activities with local community’s plans and expectations.

Effectiveness of a positive psychology and mindfulness-based app on mental health for parents of children with a neurodevelopmental disorder: study protocol of a pragmatic international randomized controlled trial

IntroductionParents of children with a neurodevelopmental disorder (NDD) experience more stress than parents of typically developing children. In a cocreation process with experts and parents, a low-threshold application that uses exercises based on the principles of positive psychology and mindfulness was developed. This application, called “Adappt,” aims at enhancing the ability to adapt of the parents and caregivers of children with NDDs and at supporting their mental health. This protocol describes the evaluation study of the effectiveness of Adappt, its core working mechanisms and user experiences.MethodA pragmatic international multicenter randomized controlled trial will compare the effectiveness of Adappt with a (delayed) waitlist control condition. At least 212 parents or primary caregivers of children younger than 18 years diagnosed with or suspected of a NDD will be randomly assigned to the intervention or waitlist control condition. Participants are excluded if they have severe anxiety or depression levels or are in treatment for mental health issues. Measures will be collected online at baseline, post-intervention (1 month after baseline), and 4 and 7 months after baseline. The primary outcome is the improvement in generic sense of ability to adapt as measured with the Generic Sense of Ability to Adapt Scale (GSAAS; (Front Psychol 14:985408, 2023)) at 4-month follow-up. Secondary outcomes are mental well-being, (parental) distress, and client satisfaction with “Adappt.”DiscussionResults of this study will contribute to knowledge on the effectiveness of a low-threshold application for parents of children with a NDD in multiple countries. If the application is found to be effective in improving mental health, recommendations will be made for implementation in health care.Trial registrationThis study is registered on clinicaltrials.gov (NCT06248762) on February 8, 2024, and the Open Science Framework (https://osf.io/5znqv).

Paths of knowledge sharing of core and periphery users in online health communities: social support perspective

Paths of knowledge sharing of core and periphery users in online health communities: social support perspective

Augmenting Trust in Robo Advisor Experiences Through Thoughtful UX Design

These tech-savvy investments are an easy part of the future of financial advice - but how well consumers can trust them is just as important. In this paper, we consider how deliberate design can build trust in robo-advisor platforms through their user experience. In this post, we look at the vital elements of a trustful user experience by going through core design principles and user interaction strategies. We aim to understand the users’ attitudes and behavior towards robo-advisors by an intensive review of the current literature and a thorough methodology. What is persuasive is a combination of transparency, usability, and having personalized interactions that our results show are very conducive to building trust. The research will also involve designing a UX and developing a prototype evaluated with the help of feedback and performance metrics. The results show a substantial bettering of user trust and satisfaction, demonstrating the crucial role that UX design has in the competitive development of robo-advisor entries.

Regional comparison of socio-demographic variation in urban E-scooter usage

In recent years we have witnessed explosive growth in the shared, free-floating, electric scooter industry. While still controversial in many North American cities, a number of large e-scooter operators have managed to carve out a piece of the urban transportation landscape. As these vehicles shift from novelty services to increasingly reliable modes of short personal travel, the discussion has turned to investigating who exactly benefits from these micromobility services and who are being left behind. Though population surveys have been administered to identify the socio-demographic characteristics of e-scooter riders in the past, little work has linked these characteristics through trips, or investigated the regional variation in these demographic factors. In this work we explore the variability and similarities in e-scooter rider characteristics across three major U.S. cities. To accomplish this, we apply a Moran’s Eigenvector Spatial Filtering linear regression model and compare our results to more commonly used spatial regression approaches. Our results indicate that the spatial filtering approach outperforms other methods in identifying socio-demographic characteristics of e-scooter users, across multiple regions. We find that many socio-demographics associated with e-scooter usage are regionally variant, despite younger users making up the core user base in all cities. There are variations in usage based on gender, income, and race across cities with Black and Hispanic populations remaining underserved. The implications of these findings are discussed.

Virtual space experience design of grand canal cultural heritage landscape: Panoramic interaction and guided tour algorithm

<h3>This work presents the application of interactive virtual reality (IVR) technology in the preservation and presentation of cultural heritage (CH) for China’s Grand Canal. The Grand Canal is a historical engineering marvel and an icon in Chinese cultural and economic development. This work addresses the need for the enhancement of traditional methods for CH education and preservation through immersive and interactive experiences. In this study, an IVR system is developed that is tailored to represent China’s Grand Canal with the objective of providing users with historical accuracy and better engagement. The IVR experience is designed based on core user experience (UX) principles to maintain usability, accessibility, and engagement. Key features of the model include panoramic interactions, higher participation, and realistic representations through better graphic rendering and 3-D modelling. A guided tour algorithm was employed for personalized and adaptive UX to increase user satisfaction. The findings found after the IVR implementation through the sourced feedback reveal that the IVR system has improved user engagement, comprehension, satisfaction, and immersion compared to traditional touring methods. The statistical analysis, including comparative analysis, cross-tabulation, and correlation tests, supported these conclusions.</h3>

Who are the best voluntary disseminators on social networking sites? An exploration based on panel data from twitter

PurposeUsers' voluntary forwarding behavior opens a new avenue for companies to promote their brands and products on social networking sites (SNS). However, research on voluntary information disseminators is limited. This paper aims to bring an in-depth understanding of voluntary disseminators by answering the following questions: (1) What is the underlying mechanism by which some users are more enthusiastic to voluntarily forward content of interest? (2) How to identify them? We propose a theoretical model based on the Elaboration-Likelihood Model (ELM) and examine three types of factors that moderate the effect of preference matching on individual forwarding behavior, including personal characteristics, tweet characteristics and sender–receiver relationships.Design/methodology/approachVia Twitter API, we randomly crawled 1967 Twitter users' data to validate the conceptual framework. Each user’s original tweets and retweeted tweets, profile data such as the number of followers and followees and verification status were obtained. The final corpus contains 163,554 data points composed of 1,634 valid twitterers' retweeting behavior. Tweets produced by these core users' followees were also crawled. These data points constitute an unbalanced panel data and we employ different models — fixed-effects, random-effects and pooled logit models — to test the moderation effects. The robustness test shows consistency among these different models.FindingsPreference matching significantly affects users' forwarding behavior, implying that SNS users are more likely to share contents that align with their preferences. In addition, we find that popular users with lots of followers, heavy SNS users who author tweets or forward other-sourced tweets more frequently and users who tend to produce longer original contents are more enthusiastic to disseminate contents of interest. Furthermore, interaction strength has a positive moderating effect on the relationship between preference matching and individuals' forwarding decisions, suggesting that users are more likely to disseminate content of interest when it comes from strong ties. However, the moderating effect of perceived affinity is significantly negative, indicating that an online community of individuals with many common friends is not an ideal place to engage individuals in sharing information.Originality/valueThis work brings about a deep understanding of users' voluntary forwarding behavior of content of interest. To the best of our knowledge, the current study is the first to examine (1) the underlying mechanism by which some users are more likely to voluntarily forward content of interest; and (2) how to identify these potential voluntary disseminators. By extending the ELM, we examine the moderating effect of tweet characteristics, sender–receiver relationships as well as personal characteristics. Our research findings provide practical guidelines for enterprises and government institutions to choose voluntary endorsers when trying to engage individuals in information dissemination on SNS.

IMPROVING USER EXPERIENCE THROUGH GREENPEACE WEBSITE UI/UX REDESIGN WITH THINKING DESIGN METHOD

Greenpeace, an organization dedicated to addressing environmental concerns, particularly the Climate Crisis, urges both the government and corporations to take responsibility for extensive land clearing for business purposes without implementing preventive measures. This lack of action poses potential negative consequences for Indonesia, especially in the economic sector. Despite ongoing issues arising from the Climate Crisis, there is still a dearth of government initiatives and community support. To address this, Greenpeace employs its website as an informational platform, providing details about areas impacted and the actions it takes to improve the Earth. In an effort to enhance the user experience in navigating Greenpeace's activities, the author and their team undertook a redesign of the website using Design Thinking as a method. Design Thinking, a problem-solving process centered on user interests and innovation, involves stages such as empathizing, defining, ideating, prototyping, and testing. The author mapped out problems during the empathize stage based on user experiences, defined core user issues in the define stage, expressed solutions in the ideate stage, implemented web design in the prototype stage, and, in the testing stage, assessed the success of the design in resolving problems and meeting user needs. The research outcomes are presented in the form of a prototype with a UI/UX design, developed by aligning with user needs through the Design Thinking method to provide a solution for user challenges when interacting with the Greenpeace website.

A many objective commercial recommendation algorithm via Game-Based core node extraction

A many objective commercial recommendation algorithm via Game-Based core node extraction

Case Study of Bilibili's Marketing Techniques

In today's era, streaming media is becoming more and more prevalent and dominating the entertainment worldwide. Among them, streaming video platforms are the most popular. Take bilibili for example, it is a video platform that is very hot within China. Although bilibili has been in business for more than a decade and has a regular young user base and brand recognition, there are many issues behind the seemingly smooth sailing that cannot be ignored. These issues include bilibili's positioning, community, video content and finances, all of which have an impact on its operations. As a nascent streaming platform, bilibili has a variety of marketing models as well as marketing tools. This paper will analyze bilibili's marketing model, marketing tools and strategies using the SWOT and 4P models, and make decisions about the problems the company is experiencing. After analyzing according to various models, bilibili's marketing means is mainly to serve the Z-era crowd as the main target group, and for the characteristics of the Z-era crowd, users can access user-generated content on B station, and the platform also includes a close-knit community. These two locations will be used by B station in an effort to monetize and profit from the traffic. And bilibili attracts the love of fixed groups with its unique secondary yuan-oriented style, achieving a long-lasting emotional maintenance with core users.