Behavior Of Internet Users Research Articles

Mixed Poisson Processes with Dropout for Consumer Studies

We adapt the classical mixed Poisson process models for investigation of consumer behaviour in a situation where after a random time we can no longer identify a customer despite the customer remaining in the panel and continuing to perform buying actions. We derive explicit expressions for the distribution of the number of purchases by a random customer observed at a random subinterval for a given interval. For the estimation of parameters in the gamma–Poisson scheme, we use the estimator minimizing the Hellinger distance between the sampling and model distributions, and demonstrate that this method is almost as efficient as the maximum likelihood being much simpler. The results can be used for modelling internet user behaviour where cookies and other user identifiers naturally expire after a random time.

Combating Web Tracking: Analyzing Web Tracking Technologies for User Privacy

Behind everyday websites, a hidden shadow world tracks the behavior of Internet users. Web tracking analyzes online activity based on collected data and delivers content tailored to users’ interests. It gathers vast amounts of information for various purposes, ranging from sensitive personal data to seemingly minor details such as IP addresses, devices, browsing histories, settings, and preferences. While Web tracking is largely a legitimate technology, the increase in illegal user tracking, data breaches, and the unlawful sale of data has become a growing concern. As a result, the demand for technologies that can detect and prevent Web trackers is more important than ever. This paper provides an overview of Web tracking technologies, relevant research, and website measurement tools designed to identify web-based tracking. It also explores technologies for preventing Web tracking and discusses potential directions for future research.

Applications of Google Trends as a Data Source for Statistical Models

As technology advances, there is a growing number of potential data sources that can provide an alternative to traditional surveys. An example of this is the real time search popularity data made available through Google Trends. This type of data makes it possible to study public opinion, behaviour and attitudes in society or forecast economic phenomena. A definite advantage of using search popularity data is the immediate availability and low cost of obtaining such data. Also of significance is the fact that the Google Trends tool allows for direct research into the behaviour of Internet users, and not just their declarations as in the case of a survey. This can make a difference if respondents consider one of the answers to be more morally correct. Nevertheless, the use of Google Trends requires selecting correct search topics and terms to be included in the study and an awareness of the fact that the research sample is limited to Google search engine users. The paper will present the advantages and disadvantages of Google Trends and review its usefulness as a data source especially in times of higher market volatility.

Exploring the impact of internet usage on individuals’ social status discordance: evidence from China

This study examines the impact of internet usage frequency and behavior on social status discordance using CSS2021 data, and adopts a causal random forest model to test the heterogeneity of the impact of internet usage on social status discordance. The results reveal a clear inconsistency between objective and subjective social status among Chinese residents. In addition, increasing internet usage frequency can make actors more inclined to underestimate their social status. Moreover, capital enhancement through the internet significantly reduces the likelihood of status inflation. Finally, individuals with higher social status are less likely to have an upward bias in status cognition than those with lower social status when they use the internet frequently and use it for capital enhancement. These findings advance our understanding of social status identification among Chinese residents and provide different perspectives for studying social stratification in the digital age.

Examining the Internet Usage Behavior of Adolescents After the Covid-19 Pandemic

Examining the Internet Usage Behavior of Adolescents After the Covid-19 Pandemic

Study of the Pattern of Internet Use and Internet-related Behavior among Medical College Students

Background: In today’s day and age, the Internet has had unarguably the largest impact on everyday human life. It would be appropriate to designate/name this age as the “Internet Age.” Internet use is facilitating notable improvements in many fields but with increasing use of the internet, many individuals are becoming preoccupied with the internet, unable to control their use, and jeopardizing their employment and personal relationships. We have evaluated the patterns of Internet use among medical students and the changes in behavior pattern observed in students. Materials and Methods: In this cross-sectional study at a tertiary care teaching hospital, a questionnaire was used to collect information about the various aspects and patterns of Internet usage and Internet-related behavior among students. Results: One hundred undergraduate medical students participated in the current study. Students spent more than 17 h/week using the Internet. The time spent on the Internet for work and study-related purposes was equal to time spent on socializing. The questionnaire on feelings and experiences on Internet use indicated addiction and habituation/dependency on the Internet and guilt among some students for Internet addiction. Some students who are addicted to the Internet sought aid from different sources to reduce their dependency on the Internet. Conclusion: Self-control, restricting the use of the Internet for other than study, work and professional purposes, motivation to the disciplined use of the Internet, and the mentoring facility could help reduce Internet addiction in undergraduate medical students.

Different impacts of hedonic and utilitarian personal Internet usage behaviour on well‐being and work engagement: A daily examination

AbstractPast research suggests that personal Internet usage (PIU) at work can carry both costs and benefits for employees, but offers no explanation for these mixed results. In this research, we argue that the competing findings might be due to the existence of different types of PIU. We take a daily approach and propose that hedonic PIU (HPIU, i.e. relaxing oneself) benefits employees' end‐of‐workday well‐being and work engagement while utilitarian PIU (UPIU, i.e. solving others' problems) hinders their well‐being and work engagement. We test our theorizing using three studies. In Study 1, we summarized previous PIU studies and relied on machine learning methods to classify the 618 PIU activities identified in prior studies. We found that prior research mixed HPIU and UPIU and might reach different conclusions. In Study 2, we condensed the PIU activity list in Study 1 and developed measurement scales of HPIU and UPIU. In Study 3, we analysed 1063 multi‐wave daily inputs from 125 employees and found that on a daily basis, HPIU benefits employees' well‐being by fostering a state of recovery, while UPIU impedes well‐being and work engagement by inducing a state of depletion. Moreover, supervisor support for employees' personal behaviours strengthens the beneficial effect of HPIU.

Relationship Among Internet Use, Social Support and Financial Well-Being: Based on the Empirical Survey

Based on the analysis of survey data of left-behind children in rural areas of Guizhou Province, this paper studies the happiness of left-behind children and explores its interaction and impact with Internet usage behavior and social support. This study uses a sample size of 336 to study the relationship between Internet use, social support and subjective well-being of left-behind children through descriptive statistical analysis. The findings show that economic status has a statistically significant impact on financial well-being, and that the impact of life satisfaction on well-being increases as satisfaction levels increase. However, the frequency and duration of Internet use did not have a significant impact on subjective well-being. On the contrary, research found that content preferences have a positive impact on social support and subjective well-being of left-behind children. Information-based network use can bring more social support, thus improving the life satisfaction of left-behind children. Finally, family support had a significant predictive effect on left-behind children’s subjective well-being. Future research can further explore the complex relationship between left-behind children’s Internet use, social support and subjective well-being, especially comparative studies in different regions and different cultural backgrounds, to comprehensively understand the formation mechanism of left-behind children’s well-being.

Digital Literacy and Inclusive Growth: Examining Digital Empowerment of Female Students in Lahore

The digital economy has created various entrepreneurship opportunities for women in Pakistan. E-commerce platforms and online marketplaces have enabled women to start their own businesses, reach a larger customer base, and overcome traditional gender-based constraints. The ability to operate businesses from home has also provided flexibility, allowing women to balance their work and family responsibilities. The primary objective is to explore the digital empowerment status of female students in Lahore. This study utilizes a modified scale for the dependent variable, focusing on the dimensions of digital awareness, legal understanding, and economic aspects of digital empowerment. To investigate digital empowerment, the questionnaire is distributed to gather data from 390 female students of both public and private universities in Lahore, Pakistan. Data is analyzed using Smart-PLS 4 and SPSS, while graphical analysis is done through R studio. Frequency, mean, standard deviation, and percentage of variables are calculated for data analysis. Confirmatory factor analysis CFA is used to evaluate the hypotheses. The results reveal that the majority of the 65.3% of respondents have a medium level of digital empowerment. Income has a positive and significant impact on digital empowerment. Digital literacy skills, digital training, and internet skills have positive and significant impact on digital empowerment. Independent variables are considered as important factors in promoting digital empowerment among female students. Institutions and discipline negatively and significantly influence digital empowerment. Additionally, the study examines female students' access to a digital device and their internet usage behavior. Results show that 25.9% of respondents do not have access to the device at home. This research endeavors to pave the way for policy formulation aimed at empowering young female students with essential digital literacy skills that align with international standards.

Internet Addiction and Sleep Quality in Students of SMA Negeri (Public Senior High School) 9 Manado

Sleep is vital for cell regeneration and repair in the human body. Adequate sleep, typically 7-8 hours per day, is crucial for adolescents, as its deficiency can impact various aspects of their lives including physical health, academic performance, school activities, and concentration. However, numerous factors, such as internet addiction, can disrupt sleep quality. Internet addiction, characterized by excessive and uncontrollable internet usage, is particularly prevalent among adolescents and has been linked to sleep disturbances. This study aimed to investigate the relationship between internet addiction and sleep quality among students at SMA N 9 Manado (Public Senior High School). Employing quantitative research methods and correlation analysis, data were collected from 110 active students at SMA N 9 Manado using quota sampling techniques. The Internet Addiction Test (IAT) and the Pittsburgh Sleep Quality Index (PSQI) were utilized as measurement scales. Statistical analyses including the Kolmogorov-Smirnov test, one-way ANOVA test, and Pearson's Product-Moment correlation coefficient were performed. The findings revealed a significant positive correlation (r = 0.533, p < 0.05) between internet addiction and sleep quality among students at SMA N 9 Manado, indicating that higher levels of internet addiction were associated with poorer sleep quality. This underscores the need for interventions aimed at reducing internet addiction among students, with an emphasis on fostering self-awareness regarding internet usage behaviors. Such interventions hold promise for improving the sleep quality and overall well-being of adolescents.

Access to technology, internet usage, and online health information-seeking behaviors in a racially diverse, lower-income population.

This study examined access to technology, internet usage, and online health information-seeking behaviors, in a racially diverse, lower-income population. Data were obtained via a cross-sectional survey of low-income communities in Houston, Los Angeles, and New York between April and August 2023. Binary responses to the following online health information-seeking behaviors, internet and technology access, were examined: using the internet to (i) understand a medical diagnosis, (ii) fill a prescription, (iii) schedule a healthcare appointment, (iv) email communication with a healthcare provider, and (v) access electronic health records and medical notes. 41% of survey respondents identified as non-Hispanic Black individuals, 33% as non-Hispanic White individuals, and 22% as Hispanic individuals. 69% reported a pre-tax annual household income of less than $35,000. 97% reported ownership/access to a smart device; 97% reported access to reliable internet. In the past year, only 59% reported using the internet to better understand their medical diagnosis, 36% reported filling a prescription online, 47% scheduled a medical appointment online, 47% viewed electronic health records online, and 56% emailed healthcare providers. Female sex, higher incomes, and having at least a bachelor's degree were significantly associated with all five online health information-seeking attributes. Despite high technology adoption rates, we observed suboptimal online health information-seeking behaviors. This underutilization has potential adverse implications for healthcare access and use given the documented advantage of HIT. Efforts to increase health information-seeking behaviors should explore the identification of HIT barriers, and patient education to increase familiarity and usage in this population.

Adaptation of the Indonesian version of the online cognition scale to measure problematic internet use

The internet can make everyday life more accessible; however, it can also cause problematic behavior. It is essential to prevent the negative impact of problematic internet use on daily activities, whether in educational settings, work, social life, or general functioning. This research aims to adapt the Online Cognition Scale (OCS) to the Indonesian language. The number of samples involved in this research was 195 people between the ages of 18-25 years old. This study tested the psychometric properties through content validity tests and obtained S-CVI/Ave results of 0.92 The CFA model fit test index results are within the acceptable value for all goodness of fit indices, with factor loadings between 0.752 - 0.912 for each dimension and 0.318 - 0.882 for each item. There is one invalid item that is eliminated in the Indonesian version of OCS. The coefficient is 1.057, and the coefficient for the four dimensions ranges from 0.770 to 0.878. The coefficient for the four dimensions also moves from 0.792 to 0.881, and the item-total correlation correction test is within the range of 0.427 - 0.702. This measuring tool is used to get an overview of problematic internet usage behavior in Indonesia.

Hubungan antara Subjective Well-Being dengan Problematic Internet Use pada Mahasiswa

The ever-growing internet can encourage students to experience the phenomenon of problematic internet use. This study aims to provide empirical evidence between the relationship between subjective well-being and problematic internet use in college students. This study is a correlational study of 272 students in West Sumatra. Data were collected using Diener's subjective well-being measurement tool and Caplan's generalized problematic internet use-2 (GPIUS2) which has been adapted into Indonesian. The sampling technique used was purposive sampling. Hypothesis testing using Spearman correlation showed a positive and significant relationship between subjective well-being and problematic internet use in students with r=0, 218 and a significant level of p=0.000 (p<0.05). The direction of the positive relationship means that the higher the subjective well-being, the higher the problematic internet use in students, on the other hand, the lower the subjective well-being, the lower the problematic internet use in students. These results indicate that students' high happiness is associated with strong Internet usage behavior, and the results of this study differ from previous studies.

Exploring the Path of Informatization Construction of Civic Education in Colleges and Universities in the Era of Melting Media

Abstract The development of informatization has increasingly become the transformation direction of the Civic Education in colleges and universities in the new media era. This paper outlines the path of civic and political information technology, in conjunction with campus networks in general, and presents a series of support mechanisms for information technology. Taking S university as a research case, firstly, Fractal Brownian motion is used to scientifically characterize the traffic of campus network users. The network group characteristics are estimated through the determination of the Hurst coefficient. Secondly, the Apriori algorithm is used to extract the association rules of online behaviors hidden in these traffic features to explore the relationship between online behaviors in time series. Finally, by combining the above features and association rules, we developed subspace clustering techniques for college students’ campus Internet usage behavior. We proposed a path for ideological education based on the clustering results. The results show that the online behavior of different students on campus shows significant differences. Class A students like to stay up late on weekends, and the number of such students online fluctuates slightly from 14:30 to 23:30. Class B students generally prefer to go online during the daytime. Class C students also have some students who stay up late, but the average duration is not long, with a maximum of 766 seconds. Class D students all stay up all night, and the peak of the mean value of the online duration occurs at 4:30. Class D students all stay up all night, and the peak of the mean value of the online duration occurs at 4:30. Category D students need to be given more attention in the management of political education.

Pengaruh Cyber-loafing terhadap Produktivitas dan Kinerja Tenaga Pendidikan Menggunakan Pendekatan Fenomenologi

Cyber-loafing behavior, which is internet usage behavior that is not related to work, can hurt employee productivity and performance in the organization. This research aims to determine the impact of cyber-loafing on the productivity and performance of educational staff. The method used in this study was a phenomenological approach to measure the phenomenon of cyber-loafing behavior in the human resources aspect. The data collection technique used interview techniques with research informants at the state and private universities in Surabaya. The results show that cyber-loafing behavior influences the productivity and performance of education staff in their work environment. These findings can be the basis for educational institutions to control and supervise internet use by their employees.

SOCIAL MEDIA: IMPACT ON BUSINESS ACTIVITY

Social media is extremely popular among users all over the world. Social media is becoming not only a means of communication, but also a powerful platform for conducting business. The purpose of the research is to analyze the use of modern social media tools and determine their impact on the purchasing behaviour of Internet users and the effectiveness of online business.The paper analyzes the features and trends in social media use, as well as the reasons for their growing popularity among users around the world. An analysis of the social media influence on business development was carried out and several significant advantages were identified, in particular: expansion of information sources about the company’s activities, coverage of a larger target audience, reduction of company costs, implementation of advertising and promotion of product sales, etc. The effective use of modern social media tools and the latest methods of economic and psychological influence on the purchasing behaviour of users has been analyzed. It was determined that there is a close relationship between the effectiveness of business development in social media and the use of social media marketing (SMM) tools, Internet advertising, customer relationship management (CRM), SEO optimization of websites, mobile applications, the use of virtual reality, etc.Based on the research, a strategy for conducting business in social media is proposed, which involves: 1) determining the target audience for effective positioning of products and the correct choice of the social network; 2) definition and coordination of the company’s long-term goals in its offline and online activities; 3) generation of high-quality unique content and constant work on its filling; 4) selection of social media tools to increase the effectiveness of attracting potential customers, sales promotion and automation of business processes; 5) conducting media analytics, i.e. monitoring the effectiveness of business activities in social media.

An Analysis of the Influence of K-pop on the Development of Feminism in China

In China, in recent years, feminist content has been on the rise on social media platforms, and many female social media users have begun to recognize and support feminist views. In China, K-pop music and idol, which are also more widely known, have also influenced the perceptions and thoughts of many Internet users. This paper focuses on the influence of K-pop on Chinese social media users perceptions of feminism. The research methodology of post-subcultural and transcultural studies will help this paper study the changes in K-pop culture and feminist concepts. The conclusion of the study is that the behavior and speech of K-pop fans and the content of the songs in K-pop culture can influence the concepts and behaviors of Chinese Internet users and K-pop fans, and as a result, K-pop culture has contributed to the development of feminism in China.

Linguistic Features of Multilingual Hate Speech in the Online “Bardagulan”

"Bardagulan" is the slang used in the Philippines to describe an online dispute wherein Filipino netizens trade hate speech. The term was derived from the Tagalog word "Bardagul" which means conflict and is now employed to denote differing viewpoints (Yaneza, 2022). During the 2022 Presidential Election, a variety of hate speech was heard and seen, prompting the researcher to determine the linguistic characteristics of hate speech on Philippine social media. To demonstrate the complexity of hate speech in the Philippines, the researcher devised a research question centered on various linguistic features such as form, type, social aggression, impoliteness strategies, and the structure of hate speech to improve the understanding of how hate speech functions in actual online social discourse. It is crucial that all social media users possess knowledge regarding the linguistic features that distinguish hate speech, so that they may effectively report unpleasant remarks posted online. Multimodality and content analysis were also utilized to analyze 190 specimens of hate speech since the researcher considers hate speech as a multimodal phenomenon. This study suggests that the distinctive linguistic characteristics of multilingual "Bardagulan" hate speech contribute to the challenges encountered in eradicating hatred within the realm of Philippine social media. It was found that social media users in the Philippines employ grammatical and linguistic innovations to conceal profanity and circumvent digital content censorship. Moreover, the primary results indicate that behavior of Filipino internet users displayed via impoliteness in words, images, and emojis promote the proliferation of hate speech since they have a propensity to engage in confrontational discourse, with an aim to persuade the audience and to defend their own points of view.

Analyzing the Influence of Internet Usage Behavior on Spectator Sports Consumption Among College Students: An Empirical SEM Study Based on the SOR Model

<p>In light of China’s burgeoning sports competition and performance sector, the evident shift towards diverse sports consumption preferences underscores an urgent need to refine the current consumption structure. Notably, the underdeveloped ornamental sports consumption sphere impedes the evolution of this structure. This study, focusing on the pivotal demographic in the sports event consumption market—college students, deploys a questionnaire-based approach to explore patterns in ornamental sports consumption, internet usage behavior, perceived value associated with ornamental sports, and trust towards this mode of consumption. Leveraging the Stimulus-Organism-Response (SOR) model and integrating various theories, we constructed hypothetical models. Utilizing structural equation modeling, we probed the intricate relationships among these variables through path analysis. This empirical investigation specifically scrutinized the impact of college students’ internet behavior on their spectator sports consumption, extending to the intermediary roles played by the perceived value and trust related to ornamental sports. Key findings indicate: (1) A direct positive correlation exists between college students’ internet behaviors and their affinity for spectator sports. (2) The perceived value of ornamental sports acts as a mediator between students’ internet activities and their consumption behaviors. (3) Trust in ornamental sports consumption mediates the relationship between internet usage and consumption patterns.</p> <p> </p>

The realization and application of the data analysis platform of netizen behavior based on Hive

With advances in mobile technology and mobile Internet applications, smart mobile devices, such as smartphones and tablets, have become increasingly popular, and the number of Internet users worldwide continues to grow. In the Internet era, the amount of data is growing exponentially and companies must be able to harness the value of the vast amount of data. Data platforms must integrate massive amounts of data collection, storage, computation and analysis to meet these opportunities and challenges. In this study, the log data of Internet users browsing websites are analyzed and the technologies used in the platform are briefly described. Finally, a draft platform for analyzing offline Internet user behavior data is proposed, taking into account the current common needs of different industries, while incorporating some innovations. Three modules are designed and implemented: data collection, data warehouse and data visualization. The user's data is mainly collected by the data collection module. The data warehouse is mainly responsible for cleaning, modeling and analyzing the data. As part of the data visualization module, the result data from the ADS layer is used as a template to create tables in MySQL, export the results to MySQL periodically using the Sqoop tool, and visualize the data using the data visualization tool. With Flume, Kafka and Sqoop, HDFS is used as the data storage framework, Hive is used as the storage tool, and Spark is used as the Hive computation engine to build the platform in a large context to analyze Internet user behavior.