Message from Editors-in-Chief

We are thrilled to present the 1st issue of the 5th volume of the Journal of Social Computing, featuring a diverse array of research papers that delve into pivotal issues at the intersection of technology, society, and economics in the context of social computing.Each paper offers solutions and insights into critical societal challenges, contributing to our understanding of complex socio-technical phenomena and paving the way for change.In the realm of Sustainable Technologies and Environmental Management, "Turning Trash into Treasure: Developing an Intelligent Bin for Plastic Bottle Recycling" by Sirajam Munira et al. introduces an intelligent bin equipped with a detection-based reward system, offering a novel approach to tackling plastic waste accumulation.This paper not only presents a technological solution but also pilots the potential to incentivize sustainable behavior in facing environmental challenges.Similarly, "Media Power Measuring via Emotional Contagion" by Xue Lin et al. presents a novel framework for evaluating media influence, shedding light on mechanisms through which media shape public opinion dynamics.By analyzing emotional contagion among media sources, the authors provide insights into the dynamics of media power and its implications for collective discourse.Shifting focus to Economic Dynamics and Financial Predictions, "Predicting Credit Bond Default with Deep Learning: Evidence from China" by Ning Zhang et al. demonstrates the efficacy of deep learning techniques in forecasting credit bond defaults.This research contributes to advancements in predictive modeling and manifests implications for risk management practices in financial markets.Similarly, "Interregional Value-Added Tax in the Era of E-Commerce: Tax Policy Design Based on Big Data from Online Retailing" by Yu Chen et al. offers valuable insights into tax policy adjustments necessary for addressing regional disparities in the digital economy.By leveraging big data from online retailing, the authors propose policy adjustments that can promote tax equity and support economic development.In the Transportation Behavior Modeling and Guidance Systems cluster, "Network Evolution Analysis of Vehicle Road-Driving Behavior Strategies and Design of Information Guidance Algorithm" by Tong Lyu et al. provides an analysis of driving behaviors, essential for optimizing traffic management systems and improving road safety measures.By examining the dynamics of driving behavior, the authors offer practical insights to inform the design of effective guidance algorithms for enhancing transportation efficiency and safety.Additionally, "Multifaceted Disparities Associated with Translator Earnings: A Quantitative Study of Upwork Profiles" by Tyler Horan sheds light on the complex determinants influencing earnings in the translation industry.Through quantitative analysis of Upwork profiles, the author uncovers multifaceted disparities correlated with demographic variables, contributing to a deeper understanding of labor dynamics in the digital age and highlighting the need for equitable policies in the gig economy.We extend our appreciation to the authors for their contributions and to our reviewers, associate editors, and editorial office staff for their efforts in maintaining standards of scholarly excellence.It is through their dedication and expertise that we continue to uphold the mission of the Journal of Social Computing (jOsOcO) to foster interdisciplinary research that shapes a more informed, equitable, and sustainable future.We encourage our readers to engage with these papers, explore the findings, and consider their implications for academia, industry, and policymaking.Together, let us continue to advance interdisciplinary research and drive its implications for positive change.