Instagram versus Snapchat: Self-expression and privacy concern on social media

Adolescents' Drinking Behavior Off- and Online: Disentangling Exposure Effects and Selective Exposure in Networked Communication Structures

This article applies a network approach to better understand the often-demonstrated link between adolescents' drinking behavior and their exposure to alcohol-related content on social media. Focusing on social dynamics among adolescents and their peers, we investigate the causes and consequences of exposure to individual peers who share alcohol-related content online. Drawing on social network literature and the perspective of networked communication online, we distinguish between exposure effects and selective exposure as the two core dynamics that can explain the association between drinking behavior and exposure to alcohol-related content online. Based on a two-wave network survey among adolescents aged 14 to 17 (n = 277), we applied a longitudinal network analysis to test both dynamics simultaneously. The findings indicate no exposure effects but robust evidence for selective exposure. This means that drinking adolescents are more likely to become exposed to peers who post alcohol-related content. The stochastic actor-oriented model hereby controls for rivaling explanations, such as the tendency to be exposed to friends, classmates, and peers of the same gender. In addition to these empirical findings, we discuss the value of the network approach, outlining the implications for future research and prevention strategies.

Roles of Brand Benefits and Relationship Commitment in Consumers' Social Media Behavior around Sustainable Fashion

As climate change continues, environmental sustainability has become a popular topic among brands and consumer groups. The fashion industry has detrimental impacts on the natural environment; however, little is known about how brand benefits can help sustainable fashion brands develop relationships with consumers and promote consumer behavior. This study focuses on Instagram to investigate how consumers' perceived brand benefits predict relationship commitment, electronic word-of-mouth (eWOM), and purchase intention. Prior studies have overlooked the possible effects of various benefits. This study outlines five benefits of sustainable fashion brands: inner self-expression, social self-expression, warm glow, green, and economic benefits. Results from a survey of sustainable fashion brand followers on Instagram showed that eWOM positively related with economic benefits and negatively with warm glow and green benefits. Findings further indicated a mediating effect of relationship commitment between benefits and consumers' behavior. Lastly, the level of environmental attitude influenced the mediating impact of relationship commitment. The implications of these findings are discussed, and suggestions for future research are provided.

The predictors of mobile government services adoption through social media: A case of Chinese citizens

This research studied the factors accounting for Chinese citizens’ behavioral adoption of mobile government services via social media platforms. Social media innovations have empowered governments to better interact and stay in touch with citizens, and thus understanding citizens’ adoption of government services via social media will enable policymakers to leverage social media to better meet the service requirements of citizens. Drawing upon the Chinese mobile-government context, this research framework was made on the Technology Acceptance Model (TAM) while the analysis of data was completed with Smart PLS by the use of the SEM procedure. The analysis has surprisingly discovered that perceived usefulness (PU) does not predict the adoption of mobile government services through social media. However, perceived information quality was significant in determining both the PU and adoption behavior. It was also shown that factors such as perceived security, perceived mobility, trendiness, and interactivity were all significant determinants of both the perceived usefulness and adoption intention respectively. The research and managerial consequences of the study outcomes on m-government development and diffusion are thoroughly considered.

Privacy concerns toward short-form video platforms: Scale development and validation

Privacy concerns can effectively predict behavioral intention between users and short-form video platforms, but existing studies lack of multidimensional scales to measure privacy concerns towards short-form video platforms. To this end, this study took privacy concerns theory as the theoretical foundation to develop and validate a multidimensional privacy concerns scale in short-form video platforms by referring to the development of Smith, Milberg and Burke' multidimensional scale of concerns for information privacy (CFIP), Sheehan and Hoy's multidimensional scale of privacy concerns, Malhotra, Kim and Agarwal's Internet users' information privacy concerns (IUIPC) scale, and Hong and Thong's Internet privacy concerns (IPC) multidimensional scale. In this research, three representative short-form video platforms, TikTok, Kuaishou and Xigua, were selected as research samples. The multidimensional privacy concerns scale was refined by qualitative interviews and open-ended questionnaires et al. and tested by item analysis, exploratory factor analysis, confirmatory factor analysis, and discriminant validity et al. The results show that the privacy concerns scale towards short-form video platforms consists of three dimensions: collection concerns, awareness concerns, and usage concerns. And the multidimensional scale developed in this study has good reliability, convergent validity, and content validity, which can help guide short-form video platforms to take targeted measures to manage privacy concerns in business practices and provide a basis for future empirical studies on privacy concerns.

Love in the Time of Corona: Predicting Willingness to Engage in Sexting During the First COVID-19-Related Lockdown

When the COVID-19 pandemic began, in early 2020, lockdowns limited the options for physical intimacy and many resorted to technology-mediated forms of intimacy such as sexting. However, it is unclear what predicted willingness to engage in sexting during the lockdown. The present study filled this gap by investigating COVID-19-related social isolation, privacy concerns, age, and gender as predictors of willingness to engage in sexting. We further examined an interaction of COVID-19-related social isolation and privacy concerns on willingness to engage in sexting. We conducted online surveys with 494 young adults (Study 1) and with a quota-based sample of 437 adults (Study 2) in Austria. In both studies, negative binomial regressions revealed a positive effect of COVID-19-related social isolation on willingness to engage in sexting. Privacy concerns hindered young adults in Study 1 from engaging in sexting but not relatively older adults in Study 2. However, in neither study did privacy concerns moderate the effect of COVID-19-related social isolation on willingness to engage in sexting: Even individuals with high privacy concerns were more willing to sext under conditions of social isolation, suggesting that the need for intimacy outweighed the need for privacy protection. Gender had no effect in either study, indicating that men and women used sexting to cope with the unprecedented COVID-19-related situation.

Love in the Time of Corona: Predicting Willingness to Engage in Sexting During the First COVID-19-Related Lockdown

When the COVID-19 pandemic began, in early 2020, lockdowns limited the options for physical intimacy and many resorted to technology-mediated forms of intimacy such as sexting. However, it is unclear what predicted willingness to engage in sexting during the lockdown. The present study filled this gap by investigating COVID-19-related social isolation, privacy concerns, age, and gender as predictors of willingness to engage in sexting. We further examined an interaction of COVID-19-related social isolation and privacy concerns on willingness to engage in sexting. We conducted online surveys with 494 young adults (Study 1) and with a quota-based sample of 437 adults (Study 2) in Austria. In both studies, negative binomial regressions revealed a positive effect of COVID-19-related social isolation on willingness to engage in sexting. Privacy concerns hindered young adults in Study 1 from engaging in sexting but not relatively older adults in Study 2. However, in neither study did privacy concerns moderate the effect of COVID-19-related social isolation on willingness to engage in sexting: Even individuals with high privacy concerns were more willing to sext under conditions of social isolation, suggesting that the need for intimacy outweighed the need for privacy protection. Gender had no effect in either study, indicating that men and women used sexting to cope with the unprecedented COVID-19-related situation.

Research on the Path of Network Opinion Expression in AI Environment for College Students

Network interaction has evolved into a grouping paradigm as civilization has progressed and artificial intelligence technology has advanced. This network group model has quickly extended communication space, improved communication content, and tailored to the demands of netizens. The fast growth of the network community on campus can assist students in meeting a variety of communication needs and serve as a vital platform for their studies and daily lives. It is investigated how to extract opinion material from comment text. A strategy for extracting opinion attitude words and network opinion characteristic words from a single comment text is offered at a finer level. The development of a semiautonomous domain emotion dictionary generating technique improves the accuracy of opinion and attitude word extraction. This paper proposes a window-constrained Latent Dirichlet Allocation (LDA) topic model that improves the accuracy of extracting network opinion feature words and ensures that network opinion feature words and opinion attitude words are synchronized by using the location information of opinion attitude words. The two-stage opinion leader mining approach and the linear threshold model based on user roles are the subjects of model simulation tests in this study. It is demonstrated that the two-stage opinion leader mining method suggested in this study can greatly reduce the running time while properly finding opinion leaders with stronger leadership by comparing the results with existing models. It also shows that the linear threshold model based on user roles proposed in this paper can effectively limit the total number of active users who are activated multiple times during the information diffusion process by distinguishing the effects of different user roles on the information diffusion process.

Self-disclosure in public and private groups of people with mental illnesses in Facebook

Purpose

The Internet enables various voices and opinions that previously did not participate in the community discourse to express themselves. People with mental illnesses make use of social networks to advance their special needs in varied ways. The study aims to examine the nature of the discourse that takes place in public and private groups of people with mental illnesses.

Design/methodology/approach

The research corpus consisted of the content of 615 messages taken from public and private groups of people with mental illnesses in Facebook. Linguistic parameters (the total number of words, the number of words in the first person) were examined for each message. Two skilled judges classified the messages on a self-disclosure scale to determine the degree of disclosure of personal information, thoughts and emotions.

Findings

The results of the study indicate that the messages published in public groups are longer than the messages in private groups; however, the level of personal disclosure in messages written in private groups is deeper than in messages written in public groups. In addition, the level of self-disclosure in opening posts was found to be greater than the level of self-disclosure in comments.

Practical implications

In the study, the authors focus on the ways people in excluded populations make use of virtual tools to advance both their personal and social needs.

Originality/value

The study is innovative, as it explores the discourse of people with mental illnesses in public and private groups on Facebook.

Young users' social media addiction: causes, consequences and preventions

Purpose

Social media addiction has been an ongoing topic of debate for platform developers, well-being and mental health experts. There is a limited understanding of the factors leading to the addiction of young social media users, the consequences of experiencing addiction, and the measures/mechanisms used by parents and platform providers to limit/prevent problematic social media use amongst young users. This systematic review aims to provide a comprehensive overview of the literature concerning these issues.

Design/methodology/approach

The Preferred Reporting Items for Systematic Reviews (PRISMA) protocol was used to evaluate and present the results. A total of 45 studies were screened and independently reviewed against predetermined criteria for eligibility.

Findings

The results revealed four categories of young users' addiction to social media networks (social, technological, behavioural and mental). Several prevention approaches directed at parents and platform providers were discussed.

Originality/value

This study offers important insights for health policy makers, platform providers, parents and researchers on designing interventions addressing social media addiction amongst young users. It also provides an in-depth understanding of the conceptualization of social media addiction and suggestions on possible actions to prevent it.

Ephemerality in Social Media: Unpacking the Personal and Social Characteristics of Time Limit Users on WeChat Moments

Social media platforms increasingly give users the option of ephemerality through settings that delete or hide posted content after a set period of time. Many individuals apply these settings to manage their posting history and, in turn, reduce concerns about self-presentation. Despite the growing popularity of this feature, few studies have empirically explored it. This study examines the Time Limit setting on WeChat Moments as an example and investigates how users using the Time Limit setting differ from nonusers in terms of personal characteristics (demographics, personality traits, psychological factors, and previous behavioral patterns) and social characteristics (audience size and audience diversity). Compared with nonusers, users using Time Limit setting scored significantly higher on posting frequency and privacy setting use and scored significantly lower on audience size. We also examine how personal and social characteristics vary between user groups with different degrees of ephemerality (i.e., low, medium, or high). Our findings show that users using the Time Limit setting who scored higher on measures of life changes, self-monitoring, posting frequency, and audience size and lower on perceived stress were more likely to opt for the low (i.e., 6months) rather than the medium (i.e., 1month) or high (i.e., 3days) degree of ephemerality. Our work contributes to the understanding of ephemerality settings on social media platforms and provides insights that help practitioners design more effective platforms.

Private Self-Consciousness and Self-Monitoring on Instagram: The Mediating Effect of Internal Locus of Control and Self-Concept

Past studies examining the direct relationship between private self-consciousness and online self-presentation behavior have not met with much success. The aim of this study was to examine the direct relationship between private self-consciousness and self-monitoring as well as the indirect relationship between these two variables through the mediation of locus of control and self-concept among Instagram users. Besides investigating locus of control and self-concept independently, serial mediation of locus of control and self-concept in the relationship between private self-consciousness and self-monitoring was also examined. A sample of 309 university students was conveniently drawn from three private universities in Kuala Lumpur, Malaysia. Participants completed a survey that collected data on private self-consciousness, internal locus of control, self-concept, self-monitoring on Instagram and relevant demographic data. Results of this study showed that there is no direct relationship between private self-consciousness and self-monitoring on Instagram. Independently, locus of control was found to mediate the relationship between private self-consciousness and self-monitoring while self-concept did not. The serial-multiple mediation test supported the mediating role of locus of control and self-concept on this relationship. These indirect relationships contribute to our understanding of the underlying mechanism through which private self-consciousness influences self-monitoring on Instagram.

Methods for Social Media Monitoring Related to Vaccination: Systematic Scoping Review

Background

Social media has changed the communication landscape, exposing individuals to an ever-growing amount of information while also allowing them to create and share content. Although vaccine skepticism is not new, social media has amplified public concerns and facilitated their spread globally. Multiple studies have been conducted to monitor vaccination discussions on social media. However, there is currently insufficient evidence on the best methods to perform social media monitoring.

Objective

The aim of this study was to identify the methods most commonly used for monitoring vaccination-related topics on different social media platforms, along with their effectiveness and limitations.

Methods

A systematic scoping review was conducted by applying a comprehensive search strategy to multiple databases in December 2018. The articles’ titles, abstracts, and full texts were screened by two reviewers using inclusion and exclusion criteria. After data extraction, a descriptive analysis was performed to summarize the methods used to monitor and analyze social media, including data extraction tools; ethical considerations; search strategies; periods monitored; geolocalization of content; and sentiments, content, and reach analyses.

Results

This review identified 86 articles on social media monitoring of vaccination, most of which were published after 2015. Although 35 out of the 86 studies used manual browser search tools to collect data from social media, this was time-consuming and only allowed for the analysis of small samples compared to social media application program interfaces or automated monitoring tools. Although simple search strategies were considered less precise, only 10 out of the 86 studies used comprehensive lists of keywords (eg, with hashtags or words related to specific events or concerns). Partly due to privacy settings, geolocalization of data was extremely difficult to obtain, limiting the possibility of performing country-specific analyses. Finally, 20 out of the 86 studies performed trend or content analyses, whereas most of the studies (70%, 60/86) analyzed sentiments toward vaccination. Automated sentiment analyses, performed using leverage, supervised machine learning, or automated software, were fast and provided strong and accurate results. Most studies focused on negative (n=33) and positive (n=31) sentiments toward vaccination, and may have failed to capture the nuances and complexity of emotions around vaccination. Finally, 49 out of the 86 studies determined the reach of social media posts by looking at numbers of followers and engagement (eg, retweets, shares, likes).

Conclusions

Social media monitoring still constitutes a new means to research and understand public sentiments around vaccination. A wide range of methods are currently used by researchers. Future research should focus on evaluating these methods to offer more evidence and support the development of social media monitoring as a valuable research design.

How Can Adolescents Benefit from the Use of Social Networks? The iGeneration on Instagram

In the last few years, Instagram has been a topic of much contention, as it has been shown to be associated with both risks and benefits for young users. This study explores the influence of the use of Instagram on adolescents' constructions of self and interpersonal experience. Forty Italian adolescents aged between 11 and 16 years were interviewed and completed repertory grids. The results showed that the adolescents' self-construction and distance from others were mostly influenced by receiving, or not receiving, positive feedback, rather than by using Instagram itself. Specifically, there was an increase in self-acceptance and social desirability after receiving a "like" and an increase in social isolation after receiving no "likes". The regression model also showed a decrease in self-acceptance on Instagram in the case of female adolescents, and in participants who edited photos. These findings are useful for understanding the constant need for approval adolescents require today and could be used as a guiding tool for future studies and intervention policies. The present study offers an innovative methodology that refers to the relevant dimensions of adolescents' self-construction rather than investigating the more general relationship between personality traits and social networks' use.

Using Web-Based Social Media to Recruit Heavy-Drinking Young Adults for Sleep Intervention: Prospective Observational Study

Background

Novel alcohol prevention strategies are needed for heavy-drinking young adults. Sleep problems are common among young adults who drink heavily and are a risk factor for developing an alcohol use disorder (AUD). Young adults, interested in the connection between sleep and alcohol, are open to getting help with their sleep. Therefore, sleep interventions may offer an innovative solution. This study evaluates social media advertising for reaching young adults and recruiting them for a new alcohol prevention program focused on sleep.

Objective

This study aims to evaluate the effectiveness and cost of using Facebook, Instagram, and Snapchat advertising to reach young adults who drink heavily for a sleep intervention; characterize responders’ sleep, alcohol use, and related concerns and interests; and identify the most appealing advertising content.

Methods

In study 1, advertisements targeting young adults with sleep concerns, heavy alcohol use, or interest in participating in a sleep program ran over 3 months. Advertisements directed volunteers to a brief web-based survey to determine initial sleep program eligibility and characterize the concerns or interests that attracted them to click the advertisement. In study 2, three advertisements ran simultaneously for 2 days to enable us to compare the effectiveness of specific advertising themes.

Results

In study 1, advertisements generated 13,638 clicks, 909 surveys, and 27 enrolled volunteers in 3 months across the social media platforms. Fees averaged US $0.27 per click, US $3.99 per completed survey, US $11.43 per volunteer meeting initial screening eligibility, and US $106.59 per study enrollee. On average, those who completed the web-based survey were 21.1 (SD 2.3) years of age, and 69.4% (631/909) were female. Most reported sleep concerns (725/909, 79.8%) and an interest in the connection between sleep and alcohol use (547/909, 60.2%), but few had drinking concerns (49/909, 5.4%). About one-third (317/909, 34.9%) were identified as being at risk for developing an AUD based on a validated alcohol screener. Among this subsample, 8.5% (27/317) met the final criteria and were enrolled in the trial. Some volunteers also referred additional volunteers by word of mouth. In study 2, advertisements targeting sleep yielded a higher response rate than advertisements targeting alcohol use (0.91% vs 0.56% click rate, respectively; P<.001).

Conclusions

Social media advertisements designed to target young adults with sleep concerns reached those who also drank alcohol heavily, despite few being concerned about their drinking. Moreover, advertisements focused on sleep were more effective than those focused on drinking. Compared with previous studies, cost-effectiveness was moderate for engagement (impressions to clicks), excellent for conversion (clicks to survey completion), and reasonable for enrollment. These data demonstrate the utility of social media advertising focused on sleep to reach young adults who drink heavily and recruit them for intervention.

Using FQFD and FGRA to Enhance the Advertising Effectiveness of Cross-Regional E-Commerce Platforms

The thriving development of cross-regional e-commerce has gradually increased online marketing activities and consumers’ intention to shop online. The objective of this paper to find solutions for improving the advertising effectiveness has therefore become very important. In this article, an integrating method of fuzzy quality function deployment (FQFD) and fuzzy grey relational analysis (FGRA) was proposed to identify solutions for improving the advertising effectiveness. Based on this method, the house of quality (HoQ) to facilitate investigation of the 17 advertising effectiveness needs and 10 feasible technical improvements were presented. Through the questionnaire survey of platform users, the importance and satisfaction of the attributes of advertising needs were obtained. After that, a fuzzy relationship matrix was constructed to link technical improvements and advertising effectiveness needs in a fuzzy decision environment. Finally, the priority of technical improvements regarding improving advertising effectiveness were obtained. The results show that the proposed method can help decision makers of cross-regional e-commerce to improve advertising effectiveness effectively, so that they can effectively use resources to design advertisements that meet user needs.