This study explores the intricate relationship between emotional cues present in food delivery app reviews, normative ratings, and reader engagement. Utilizing lexicon-based unsupervised machine learning, our aim is to identify eight distinct emotional states within user reviews sourced from the Google Play Store. Our primary goal is to understand how reviewer star ratings impact reader engagement, particularly through thumbs-up reactions. By analyzing the influence of emotional expressions in user-generated content on review scores and subsequent reader engagement, we seek to provide insights into their complex interplay. Our methodology employs advanced machine learning techniques to uncover subtle emotional nuances within user-generated content, offering novel insights into their relationship. The findings reveal an inverse correlation between review length and positive sentiment, emphasizing the importance of concise feedback. Additionally, the study highlights the differential impact of emotional tones on review scores and reader engagement metrics. Surprisingly, user-assigned ratings negatively affect reader engagement, suggesting potential disparities between perceived quality and reader preferences. In summary, this study pioneers the use of advanced machine learning techniques to unravel the complex relationship between emotional cues in customer evaluations, normative ratings, and subsequent reader engagement within the food delivery app context.

The COVID-19 pandemic has fundamentally transformed the global education landscape, compelling institutions to adopt e-learning as an essential tool to sustain academic activities. This research examines the critical impact of e-learning on arts and science college students in Coimbatore, with an emphasis on its influence on their readiness for campus recruitment. Using a survey of 300 students, this study investigates their perceptions of online education, highlighting both its advantages, such as flexibility and accessibility, and its challenges, including engagement barriers and technical limitations. Data was collected through structured questionnaires and analyzed using statistical methods to draw meaningful insights. The research also explores the efficacy of online assessments in recruitment processes and assesses students’ awareness of available e-learning platforms and courses. The urgency of this study lies in addressing the pressing need to optimize digital education models as institutions globally transition toward blended learning post-pandemic. The findings underline the dual potential and limitations of e-learning, concluding with actionable recommendations to enhance its effectiveness, particularly in preparing students for competitive employment opportunities.

The purpose of this study is to investigate different factors associated with remote online home-based learning (thereafter named OHL), including technical system quality, perceived quality of contents, perceived ease of use, and perceived usefulness in relation to the satisfaction of undergraduate students following the post-COVID-19 pandemic in Malaysia. Additionally, the mediating roles of attitude are also investigated. Two hundred questionnaires were distributed using judgmental sampling method and 156 completed responses were collected. The data were subsequently analyzed using PLS-SEM. The findings imply that the OHL system is an effective method although it is challenging to operate. In terms of perceived technical system quality, OHL is currently more gratifying for students; however, some have reported that the quality of the content delivered via the remote system is still unsatisfactory. Moreover, the study found that attitude is a significant determinant of undergraduates’ satisfaction with OHL. This study contributes to the advancement of current knowledge by inspecting the factors of the Undergraduate Level OHL System using the mediating roles of attitude. In terms of underpinning theories, Technology Acceptance Model and Information System Model were employed as the guiding principles of the current study.

Managing the spread of “disinformation” is becoming an increasingly difficult task of our time, with an emphasis on digital marketing and its influence on organizational reputation. This paper aims to analyze the phenomenon of disinformation, with emphasis on the role of digital marketing and the consequent effect on organizational image. Thus, using the systematic literature review methodology, the study defines and categorizes different types of disinformation, namely fake news, misinformation, and propaganda, and how they are spread across different channels. Using the research, it is possible to conclude that digital marketing is more effective in spreading disinformation than traditional media and word-of-mouth; social media management and content marketing are the most effective. The work also evaluates the catastrophic impact of disinformation on an organization’s image, fiscal health, and the trust of its stakeholders. Using the Chi-Square Test for Independence and Logistic Regression, the study determines the factors likely to lead to severe consequences of disinformation campaigns. Last but not least, the paper also suggests ways of preventing the spread of disinformation, which include improved education on the use of digital platforms, better fact-checking systems, and an improved code of ethics in digital marketing.

As social growth and educational concepts continue to evolve, college libraries, as hubs of cultural innovation and inheritance, are crucial in advancing the practice of great traditional culture aesthetic teaching. Based on the special status and resource advantages of college libraries, this paper explores the paths and approaches colleges libraries take in advancing the practice of aesthetic education of excellent traditional culture by combining the connotation and characteristics of excellent traditional culture. With a study of the research and case studies that concentrate on the planning of cultural events, the development of collection resources, and the use of digital innovation, it suggests a workable path. The goal is to give university libraries theoretical direction and useful references so they can carry out the aesthetic education of superior traditional culture.

As the second most polluting industry in the world, the fashion industry has a critical impact on the environment. The development of sustainable fashion is conducive to reducing the environmental pollution caused by the fashion industry. China has the largest consumer market in the world, and the Chinese government and major companies have made considerable contributions to the sustainable development of the fashion industry. However, research regarding young women’s attitudes towards this topic remains under-explored. This study interviewed 30 young women of different ages from different places in China. Based on the theory of planned behavior (TPB), a semi-structured interview was used as a data collection method, and thematic analysis was adopted for data analysis. This paper discusses young Chinese female consumers’ attitudes towards sustainable fashion and analyzes the motivating factors and hindrance factors affecting the consumption intentions of young Chinese female consumers towards sustainable fashion. The research found that young Chinese female consumers generally hold a positive and supportive attitude towards sustainable fashion. Consumers’ perceptions of sustainable fashion, their self-perceptions, and their level of green awareness all significantly impact their attitudes and purchase intentions toward sustainable fashion. Consumers feel low social pressure, and Chinese society demonstrates a high level of acceptance and praise for sustainable concepts. However, the lack of purchasing channels and choices for sustainable fashion in China and the high cost of sustainable fashion products discourage consumers from making purchases. This study will be beneficial as a reference when the Chinese government makes sustainable policies to guide consumers toward sustainable fashion consumption. This study helps enterprises select target markets in China and formulate sustainable fashion marketing strategies and targeted advertising. This study contributes to increasing consumer awareness of sustainable fashion, as well as providing reference and reflective value when consumers purchase sustainable fashion products. Finally, this study will help promote the development process of sustainable fashion in Chinese society, make contributions to reducing the waste of social resources, promoting the recycling of resources, and improving social conditions, and put forward specific solutions and feasible suggestions for the development of sustainable fashion in Chinese society.