What drives you to check in on Facebook? Motivations, privacy concerns, and mobile phone involvement for location-based information sharing

The relationship between loneliness and problematic social media usage in Chinese university students: a longitudinal study

BACKGROUND

A significant number of cross-sectional studies have explored the correlation between loneliness and problematic social media use. However, the causal relationship between these two key variables remains controversial, and the developmental relationship over time is unclear.

METHODS

We conducted a one-year longitudinal study with 538 Chinese college students using questionnaires and employing cross-lagged and latent growth models to investigate the causal relationship and developmental dynamics between loneliness and problematic social media use.

RESULTS

The results indicate that (a) loneliness and problematic social media use mutually and positively influence each other, establishing a bidirectional causal relationship; (b) Chinese college students experience a gradual increase in levels of loneliness and problematic social media use during their time in college; and (c) the intercept and slope of loneliness significantly and positively affect the intercept and slope of problematic social media use, and conversely, the intercept and slope of problematic social media use significantly and positively influence the intercept and slope of loneliness.

CONCLUSION

These findings reveal the longitudinal relationship between loneliness and problematic social media use among Chinese college students and offer insights for researchers and educators to intervene in college students' loneliness and problematic social media use from a developmental perspective.

Privacy concerns in social media UGC communities: Understanding user behavior sentiments in complex networks

In a digital ecosystem where large amounts of data related to user actions are generated every day, important concerns have emerged about the collection, management, and analysis of these data and, according, about user privacy. In recent years, users have been accustomed to organizing in and relying on digital communities to support and achieve their goals. In this context, the present study aims to identify the main privacy concerns in user communities on social media, and how these affect users’ online behavior. In order to better understand online communities in social networks, privacy concerns, and their connection to user behavior, we developed an innovative and original methodology that combines elements of machine learning as a technical contribution. First, a complex network visualization algorithm known as ForceAtlas2 was used through the open-source software Gephi to visually identify the nodes that form the main communities belonging to the sample of UGC collected from Twitter. Then, a sentiment analysis was applied with Textblob, an algorithm that works with machine learning on which experiments were developed with support vector classifier (SVC), multinomial naïve Bayes (MNB), logistic regression (LR), random forest, and classifier (RFC) under the theoretical frameworks of computer-aided text analysis (CATA) and natural language processing (NLP). As a result, a total of 11 user communities were identified: the positive protection software and cybersecurity and eCommerce, the negative privacy settings, personal information and social engineering, and the neutral privacy concerns, hacking, false information, impersonation and cookies data. The paper concludes with a discussion of the results and their relation to user behavior in digital environments and an outline valuable and practical insights into some techniques and challenges related to users’ personal data.

Relationship between nomophobia and impulsivity among deaf and hard-of-hearing youth

Excessive use of smartphones is known to be associated with negative social, physical, and psychological outcomes across age groups. A related problem is called “no-mobile-phone phobia” or “nomophobia,” which is an extreme anxiety caused by not having access to a mobile phone. Despite their detrimental effects, smartphone use is highly prevalent among deaf/hard-of-hearing (DHH) individuals owing to their accessibility features. Therefore, it was deemed important to identify the prevalence of nomophobia in DHH youth and to examine the association between impulsivity and nomophobia. Gender-based differences in nomophobia and impulsivity were also examined. Data were collected from 187 DHH youth in Saudi Arabia using the Nomophobia Questionnaire and Barratt Impulsiveness Scale (short form). Findings revealed that 71.65% of the participants experienced severe nomophobia. While, nomophobia was more prevalent among female DHH youth than males, this difference was not observed for impulsivity. A linear regression analysis indicated that higher impulsivity was significantly associated with higher nomophobia in this sample. These findings suggest the importance of helping youth understand the disadvantages of smartphone use, and the consequences of their abuse or addiction to smartphones by incorporating this information into school curricula. Additionally, educating parents may help them monitor their children’s smartphone use more closely.

Information Sharing in Solving an Opium Problem: Multiple-Agency Management with Integration of Online and Offline Channels

Information-sharing projects in public administration need to pay attention to the organizational stability of the network or communities and the satisfaction of civil users. Therefore, the sustainability of processes and outcomes in resolving the multi-agency problem is necessary. This research aims to explore information sharing in the context of a multi-agency network assigned to eradicate opium cultivation and consumption in Thailand. The research found that three dimensions of management are crucial to the performance of a multi-agency network: firstly, the setting of clear goals; secondly, the balancing of benefits and adequate resources; and thirdly, constructive coordination. In addition, this network applies both online and offline channels in the information-sharing process. At the same time, these two channels have their respective strengths and weaknesses. This network can enhance efficiency and cope with any limitations by integrating both channels. This paper argues that the information-sharing strategy that supports a multi-agency network operation should be integrated between online and offline channels. Moreover, the integration of information-sharing methods is key to the success of a digital government taskforce in providing an efficient network for a long-term problem-solving structure.

Privacy Concerns and Information Sharing: The Perspective of the U-Shaped Curve

Privacy concerns are a key predictor of information sharing, yet some critical issues remain unclear. Based on social capital theory, this study argues that the relationship between privacy concerns and information sharing is a U-shaped curve. Users with privacy concerns would not share their private information; however, such users would eventually share their information as long as they trust the website and its members. Furthermore, this study provides a contingency perspective, suggesting that the curvilinear relationship between privacy concerns and information sharing varies with the system evaluation perception and personal motivation levels. The results show that at a high level of system evaluation, the relationship between privacy concerns squared and information sharing is non-significant. In contrast, at a low level of system evaluation, there is a U-shaped relationship between privacy concerns and information sharing. Regarding motivation, the results were congruent with our expectations.

Information-Sharing Behavior on WeChat Moments: The Role of Anonymity, Familiarity, and Intrinsic Motivation

Information-sharing behavior is affected by identity recognition perception. The current study aims to delve into the impact of familiarity and anonymity on information-sharing behavior, and the mediating role of intrinsic motivations on WeChat Moments. We hypothesized a mediator role of intrinsic motivations in the relationship between an individual's perceptions and information sharing. Based on the self-determination theory, a model was created and tested using a sample of 531 frequent users. In this study, these users were asked to use WeChat Moments, the most popular mobile private social networking site in China. The results demonstrate the significance of familiarity and identifiability in an interpersonal relationship, when using social networking sites. Moreover, the influence of perceived anonymity on information-sharing behavior, which is entirely mediated by intrinsic motivation has been validated from an empirical perspective. Our findings extend previous studies by showing the totally mediated effect of perceived anonymity on information-sharing behavior on WeChat Moments and the influential mechanism of intrinsic motivation. The results will inform researchers about the importance of incorporating the interpersonal structural features and intrinsic motivation of social networking sites into future studies on online information-sharing behavior. Important ways to promote attention and share information involve building a familiar relationship with communities and equipping oneself with off-line relations. Final indications for future developments are provided, with a special emphasis on the development of these findings in various social networking sites contexts.

Online Store Locator: An Essential Resource for Retailers in the 21st Century

Most retailers use their websites and social media to increase their visibility, while potential customers get information about these retailers using the Internet on electronic devices. Many papers have previously studied online marketing strategies used by retailers, but little attention has been paid to determine how these companies provide information through the Internet about the location and characteristics of their stores. This paper aims to obtain evidence about the inclusion of interactive web maps on retailers’ websites to provide information about the location of their stores. With this purpose, the store locator interactive tools of specialty retailers’ websites included in the report “Global Powers of Retailing 2015” are studied in detail using different procedures, such as frequency analysis and word clouds. From the results obtained, it was concluded that most of these firms use interactive maps to provide information about their offline stores, but today some of them still use non-interactive (static) maps or text format to present this information. Moreover, some differences were observed among the search filters used in the store locator services, according to the retailer’s specialty. These results provided insight into the important role of online store locator tools on retailers’ websites.

The Behavioral Response to Location Based Services: An Examination of the Influence of Social and Environmental Benefits, and Privacy

Given the importance tourism has in many economies, this research was designed to study how the social and environmental benefits of Location Based Services (LBS) in the tourism sector influence user behavior and thus contribute to sustainable development. The objective has been to study LBS as a solution that makes the deployment of tourism activities easier, more useful and improves attitudes towards it, but in a context where trust in privacy and benefits-based sustainable social and environmental development are key. To achieve this, this research identifies what could be the influence factors in the adoption of mobile applications with Location Based Services from the point of view of the tourism sector, especially if the social and environmental benefits of LBS can help improve usage behavior. We investigated the technological acceptance of LBS in tourism, using Technology Acceptance Model (TAM) as a solid model to explain its adoption. Nine hypotheses were investigated by carrying out a survey of travelers (n = 277) during their visit to Seville (Spain). To test the conceptual model’s hypotheses, the Partial Least Squares (PLS) technique was applied to estimate variance-based structural equations models (SEM).The results of this study indicated that tourists are willing to accept these LBS services within a particular adoption model, where trust in privacy and social and environmental benefits are paramount.

How Online Basic Psychological Need Satisfaction Influences Self-Disclosure Online among Chinese Adolescents: Moderated Mediation Effect of Exhibitionism and Narcissism

Under the basic framework of self-determination theory, the present study examined a moderated mediation model in which exhibitionism mediated the relationship between online basic psychological need satisfaction and self-disclosure on the mobile Internet, and this mediation effect was moderated by narcissism. A total of 296 Chinese middle school students participated in this research. The results revealed that exhibitionism fully mediated the association between online competence need satisfaction and self-disclosure on the mobile net, and partly mediated the association between online relatedness need satisfaction and self-disclosure on the mobile net. The mediating path from online basic psychological need satisfaction (competence and relatedness) to exhibitionism was moderated by narcissism. Compared to the low level of narcissism, online competence need satisfaction had a stronger predictive power on exhibitionism under the high level of narcissism condition. In contrast, online relatedness need satisfaction had a weaker predictive power on exhibitionism.