Online Social Behavior Research Articles

Relationship Among Elementary and Secondary School Students’ Social Achievement Goals, Online and Offline Social Behaviors, and Social Satisfaction

Relationship Among Elementary and Secondary School Students’ Social Achievement Goals, Online and Offline Social Behaviors, and Social Satisfaction

Social Anxiety, Perceptions of Social Support, and Behavior in Anticipation of Online Peer Interaction

Abstract: Most Americans aged 18–49 use social media ( Atske, 2021 ). The social compensation ( McKenna & Bargh, 2000 ) and social enhancement ( Kraut et al., 2002 ) hypotheses offer two frameworks for understanding online social behavior, yet the evidence for these hypotheses is mixed. Two factors that may be important to consider in the context of online social behavior are social anxiety symptoms ( Weidman et al., 2012 ) and perceived social support ( O’Day & Heimberg, 2021 ). This study aimed to understand how online social behavior may be associated with social anxiety and perceived social support. Participants ( N = 303) completed self-report measures of social anxiety symptoms and perceived social support, as well as a task designed to simulate online social interactions. Participants who mentioned social activities in a mock social media profile had significantly lower social anxiety and significantly higher perceived social support than those who did not. There were no significant associations between social anxiety or perceived social support and the number of people with whom participants expressed interest in interacting. Participants with higher perceived social support indicated that they wanted to maximize their chances of interacting with another person. Overall, these findings provide some support for the social enhancement hypotheses. Further research is needed to disentangle how social anxiety and perceived social support may be relevant to online social behavior.

Family Emotional Expressiveness and Adolescents' Cyberbullying Bystanders: The Mediating Role of Empathy.

The significant influence of family emotional expressiveness (FEE) on adolescents' face-to-face social interactions is well-established. However, there has been limited investigation into potential links between FEE and adolescents' online social behaviors, especially cyberbullying bystander behaviors, which are pivotal in cyberbullying incidents. This study aimed to assess the relative importance of different aspects of FEE (positive FEE vs. negative FEE vs. the Positive-to-Negative ratio) in predicting adolescents' cyberbullying bystander behaviors, and the mediating roles of affective and cognitive empathy in these relationships. A sample of 1,952 adolescents (Mage = 14.18, SD = 1.33) completed questionnaires, including the Family Emotional Expressiveness Questionnaire, Basic Empathy Scale, and Cyberbullying Bystander Behavior Scale. SPSS 26.0 and Mplus 8.3 were used for analysis. (1) Positive FEE exhibited a positive association with protective behavior and a negative association with indifferent behavior. Conversely, negative FEE showed positive associations with reinforcing and indifferent behaviors. However, the Positive-to-Negative ratio did not exhibit significant associations with any of the three bystander behaviors. (2) Negative FEE emerged as relatively more significant than both positive FEE and the Positive-to-Negative ratio in predicting reinforcing and indifferent behaviors. (3) Affective empathy mediated the relationship between positive FEE and reinforcing behavior, while cognitive empathy mediated the relationship between positive FEE and protective and indifferent behaviors. Moreover, cognitive empathy exerted a more influential role than affective empathy in this mediation process. Various aspects of FEE demonstrated distinct relationships with three cyberbullying bystander behaviors, with affective and cognitive empathy playing an important mediating role in the association. This finding holds substantial implications for the development of cyberbullying prevention strategies. Such strategies could target the reduction of negative emotional expression within adolescent families and the cultivation of both cognitive and affective empathy.

Hubungan Kedekatan Personal ARMY terhadap BTS dengan Perilaku Aktivisme Sosial Online

The feeling of personal closeness between fans and their idols is the basis of the parasocial relationship that is often experienced by K-Pop fans, including ARMY and BTS. This parasocial relationship can make fans do anything for their idols, one of which is to carry out acts of social activism on behalf of their fandom and idols. Social activism is a positive behavior that is an action taken with the aim of bringing about change in society. The purpose of this study is to examine whether there is a relationship between ARMY's personal closeness to BTS and ARMY's online social activism behavior. This research was conducted through quantitative methods with sampling techniques using G*power. In the calculation stage, the Statistical Test was carried out with the structural equation model test. The results of statistical analysis using the help of JASP and SMARTPLS, state that the hypothesis that researchers build is accepted. From this it can be concluded that in line with previous research that the personal closeness between ARMY and BTS can be the basis for the behavior of fans, one of which is social activism because the two variables have a significant relationship.

Exploring Public Interest in Limited-Use Areas and Compensation from Airports in Poland: A Google Trends Analysis

Abstract This article evaluates online social behavior regarding the establishment of limited-use areas (LUAs) around the airports in Warsaw and Gdansk. The study relied mainly on an analysis of Google Trends statistics, in particular the dynamics of keyword searches. The article suggests that assessments of online behavior can provide a deeper understanding of social behavior. The study involved an OLS regression analysis and a causal impact analysis of the intervention based on a Bayesian structural time-series model. This article analyses different phases of an information society's activity, from the introduction of LUAs around airports to the deadline for submitting compensation claims. The results indicate that the number of searches for the keyword "compensation" increased significantly after the introduction of LUAs and that RSV decreased after the end of the compensation process, which confirms that the intervention significantly influenced the analyzed time series.

The relationship between intensity of Facebook use, employee effort at work, and counterproductive behaviors

The study explores the interaction between the intensity of Facebook use, the effort exerted by employees in the professional activity and counterproductive behaviors in the workplace. The main aim is to identify if and how frequent use of Facebook during working hours influences employee performance and behavior. By analyzing data collected through questionnaires and interviews, the research aims to determine correlations between the time spent on Facebook and thelevel of employee engagement in work tasks, as well as the occurrence of possible counterproductive behaviors such as procrastination or neglect of responsibilities. The results could provide important insights for managers and human resource specialists in order to develop effective strategies formanaging time and human resources in the work environment, taking into account the impact of social networks. Also, the study could contribute to the academic literature by bringing new insights into the dynamics between online social environments and organizational behavior.

Role of online trust, motivation, and social media usage behaviour on fake news sharing of Zoomers: moderating role of media literacy

Role of online trust, motivation, and social media usage behaviour on fake news sharing of Zoomers: moderating role of media literacy

Role of online trust, motivation, and social media usage behaviour on fake news sharing of Zoomers: moderating role of media literacy

Role of online trust, motivation, and social media usage behaviour on fake news sharing of Zoomers: moderating role of media literacy

Analysis of College Students’ Online Social Media Behavior and Its Impact on Mental Health

Abstract To explore the correlation between college students’ social media behaviors and their mental health in the context of the network era in order to provide some empirical evidence for college students’ mental health education in the new period and new situation. In this paper, we first introduce the attention mechanism to optimize the LSTM network model to extract the features of college students’ online social media behaviors and combine it with the weighted cross-entropy cost function to improve the speed of the model when extracting behavioral features. Then, the fitness function of the genetic algorithm is used to analyze the distance between the feature samples, and the optimal features are selected through the selection strategy and cross-variance operation to obtain the college students’ online social media behavior. The analysis of the impact of social media behavior on mental health found that there is a significant difference in the level of misplaced fear and self-differentiation of students with different average use times of social media (P=0.024<0.05). The score of misplaced fear of students with a use time of less than 1h is only 22.18 points, and the level of self-differentiation reaches 119.86 points. The positive detection rate for depression was 82.61% among students who engaged in negative social media behavior for more than 6 hours. The analysis results of this paper provide reference data for managing college students’ social media behavior and new ideas for improving college students’ mental health.

Research on consumer negative comment behavior based on social support on social commerce platforms

With the increasing of online social behavior, social relationships have an important impact on consumer negative comment behavior (CNCB) on social commerce platforms. Existing studies lack to describe CNCB influenced by social relationships on social commerce platforms from the perspective of well-thought-out planning results, and the proposed structural equation models in previous studies have been difficult to predict CNCB. Hence, this study proposes a new structural equation model (SEM) and artificial neural network (ANN) model to deeply explore and reveal the generation mechanism of CNCB in the context of social commerce platforms based on the theory of planned behavior (TPB). We regard social support as a moderating effect and construct a consumer negative comment planning behavior model (CNCPBM). The results of the data analysis show CNCPBM is supported. This study provides an important theoretical and practical contribution to CNCB, and offers practical management enlightenment for the managers of social commerce platforms.

The Impact of Online Social Behavior on College Student's Life Satisfaction: Chain-Mediating Effects of Perceived Social Support and Core Self-Evaluation.

To examine the influence of social behavior on college students' life satisfaction and the mediating effects of perceived social support and core self-evaluation. 779 college students were investigated with the online social behavior scale, life satisfaction scale, core self-evaluation scale and perceived social support scale. Online social behavior significantly positively predicted the perceived social support and life satisfaction; Perceived social support significantly positively predicted the core self-evaluation and life satisfaction; Core self-evaluation significantly positively predicted life satisfaction; Perceived social support and core self-evaluation have a significant chain mediating effect between online social behavior and life satisfaction. This study confirmed the positive effects of online social behavior on college students, through improving college students' level of perceived social support and core self-evaluation to increase life satisfaction.

Understanding Motivations for Plural Identity on Facebook among Nigerian Users: A Uses and Gratification Perspective for Engaging on Social Network Sites (SNS)

In the context of the increasing proliferation of users on social networking sites (SNS) and the ensuing debate on their benefits and drawbacks, this study examines the interconnection between human behaviors and identity formation on Facebook. We leveraged the concept of plural identity, seeking to identify relationships between online social behaviors and plural identity tendencies. We conceptualize plural identity as a construct spanning the personal and social dimensions of identity, and use these as the core starting points for studying plural identity. Accordingly, the relationships between social-communicative and personal-communicative behaviors involving plural identity on Facebook were investigated. A survey administered to Nigerian Facebook users (N = 429) revealed that social-communicative behaviors (i.e., social support and social interaction) exhibited strong relationships with plural identity on Facebook; similarly, personal-communicative variables (i.e., presentation of the extended self and self-expression) were strongly related to plural identity. This study highlights the role of SNS in satisfying peoples’ social and communication needs, which are interwoven with identity formation.

Modeling information diffusion in social media: data-driven observations.

Accurately modeling information diffusion within and across social media platforms has many practical applications, such as estimating the size of the audience exposed to a particular narrative or testing intervention techniques for addressing misinformation. However, it turns out that real data reveal phenomena that pose significant challenges to modeling: events in the physical world affect in varying ways conversations on different social media platforms; coordinated influence campaigns may swing discussions in unexpected directions; a platform's algorithms direct who sees which message, which affects in opaque ways how information spreads. This article describes our research efforts in the SocialSim program of the Defense Advanced Research Projects Agency. As formulated by DARPA, the intent of the SocialSim research program was "to develop innovative technologies for high-fidelity computational simulation of online social behavior ... [focused] specifically on information spread and evolution." In this article we document lessons we learned over the 4+ years of the recently concluded project. Our hope is that an accounting of our experience may prove useful to other researchers should they attempt a related project.

THREE-DIMENSIONAL EXAMINATION AND GUIDANCE STRATEGIES OF ONLINE BEHAVIOR OF “POST-00S” COLLEGE STUDENTS IN CHINA

The purpose of this work is to elucidate the intergenerational characteristics of online behaviors of Chinese “post-00s” college students, which contain positive and negative factors. To this end, we endeavor to explicate their online behaviors through an empirical viewpoint and a comparative analysis approach. The present paper will outline the intergenerational characteristics of online behaviors from tripartite perspective. First of all, in terms of online social behavior, it evinves the coexistence of diversification and circle stratification, thereby blocking mainstream discourse from intervening. Secondly, in terms of online entertainment behavior, it has increasingly become fanatical and dramatic, impeding the dissemination of mainstream values. Lastly, regarding online learning behavior, it is progressively self-reliant and reciprocal, gradually diminishing intergenerational emotional dependency and shaking the dominant position of mainstream ideology. The dichotomy of their online behaviors is likely to result in the predicament of online behavior anomie, posing challenges to the efficacy of moral education in Chinese tertiary institutions. Confined from the perspective of moral education, to effectively avert the anomie of online behavior among Chinese “post-00” college students, this manuscript will proffer three measures to bolster the efficacy of moral education in Chinese tertiary institutions. One is to augment mainstream discourse intervention and advance online media literacy education. The second is to facilitate the propagation of mainstream values and refine the digital ecosystem. The third pertains to the modernization of moral education’s narrative and spatial structure, culminating in the elevation of mainstream ideology’s prestige.

Social Network Mental Disorders Detection via Online Social Media Mining

Abstract: The rapid growth in popularity of the social networking results in problematicusage. An increasing number of social network mental disorders (SNMDs), like Information Overload, Cyber-Relationship Addiction, and Net Compulsion, are recently mentioned. Mental disorders symptoms are normally observed today passively, which are resulting in delayed clinical process of intervention. In this study, users alleged that mining online social behavior yields an opportunity for active identification of SNMDs in an early stage. It is challenging for finding SNMDs since mental status cannot be directly observed from social activity logs data. This approach, novel and innovative to practice the SNMD detection, is not relying on self-revealing of the mental factors using questionnaires in the Psychology. Depression detection taken from tweets records are processed out after proper preprocessing steps. Moreover, to address the above said problems, this project proposed a new depression detection classification model which use K-Nearest Neighbor and a Support Vector Machine based classification. Python 3.7 is used as the language for project development.

Drunkenness and Regretted Online Social Risk Behaviors: The Role of Social Drinking Motives and Positive Urgency

Background: Alcohol use and the use of social media and other forms of digital communications is characteristic of young adults. The present study prospectively examined the relationship between social drinking motives and positive urgency and the engagement in regretted online social risk behaviors while drunk (having posted on social media, called or texted someone, or been visibly drunk in a photo) among a community sample of young adults. Methods: Using a targeted sampling procedure, we accessed a baseline sample of 360 young adults aged 18–25 years old from the community. Of these, 339 (mean age: 21.1 [SD = 2.21]; female = 50.7%) completed 2-month follow-up measures. Results: Social drinking motives and the tendency to act impulsively under conditions of positive affect (i.e. positive urgency) were measured at baseline, and frequency of regretted online social risk behaviors were measured at follow-up. Results showed that baseline social drinking motives were positively associated with all three regretted online social risk behaviors examined at follow-up. Higher baseline positive urgency scores were associated with a higher frequency of regretted posting on social media and calling or texting someone while drunk at follow-up. Conclusions: Our findings support the inclusion of positive urgency and social drinking motives as key components of preventive interventions aimed at reducing potential negative consequences of using social media and other forms of digital communications while under the effects of alcohol.

Parental Approval, Active Mediation, and Adolescent Online Social Behavior: Differences by Parent-Child Gender Pairs

Adolescents across the globe spend a significant amount of time engaging in online social behavior (OSB). Parents play an important role in influencing adolescent online behavior, however, there is limited understanding about what influences parent’s management of their children’s online behavior. The current study was designed to examine the complex associations between parents’ attitudes about OSB, active parental mediation of adolescent’s online behavior, and adolescent OSB using a diverse U.S. sample. Further, whether these associations are moderated by parent-child gender was examined. Results add insight into how, and under what circumstances fathers and mothers differentially monitor their adolescents’ online behavior and what that means for adolescents’ actual online behavior. Results also provide a preliminary understanding of the role parents’ approval of OSB plays in adolescent OSB and how this association is moderated by parent-child gender. This research helps lay the groundwork for developing strategies targeted toward shaping and/or changing parents’ attitudes about their sons’ and daughters’ OSB in ways that support mediation strategies and responsible adolescent OSB.

The Impact of Violent Online Games on Chinese Adolescents’ Social Relationships

Under the Chinese internet system's anti-addiction policy, online games, particularly those with violent functions, are banned, and some previous research has only examined the harmful effects of online gaming. This study examines the parents' relationship, peer relationship, and romantic relationship levels of teenagers' social relationships from the perspective of violent online games, as well as the gender variations in social relationship positivity. Specifically, Chinese teenagers were split into the violent game and non-violent game groups, gathered the adolescents' social interaction scores in three aspects via questionnaires, and conducted a quantitative study. The data revealed that violent online games had no significant influence on teenagers' moms, peers, or romantic connections, with the exception of their ties with their fathers. This demonstrates that in families affected by violent video games, the relationships between adolescents and their parents warrants further investigation and debate in order to attain healthier parent-child relationships through the examination of the mothers' relationship pattern. In addition, peer relationship and romantic relationship scores of adolescent violent game players revealed that social behavior in violent games does not influence the development of positive social interactions in the real world. In the study of gender differences, it was determined by comparing the overall differences in social relations between males and females with the differences in the violent game group that violent games are the primary factor that boosts males' enthusiasm for social relationships. Consequently, examining the online social behavior of male online violent gamers players could be a breakthrough in enhancing the social relationships of Chinese adolescents.

Effect of Online Social Networking on High School Students Academic Performance

Online Social Networking becoming one of the most popular trends among students around the globe. There is an increasing number of research in the recent years to study this phenomenon and this study is focusing on the implications of the use of Online Social Networking towards the high school students’ academic performance in Malaysia. Achieving excellence grades is vital to the high school students because it generally will give the students a better chance to obtain a good university as well as the opportunity for enrolling for better courses when pursuing their tertiary education. Is the growing use of Online Social Networking applications detrimental to the students’ academic success? Or is the Online Social Networking use behavior among the high school students in Malaysia help them to improve their academic performance? This study shade some light. The study result shows that students’ use of Online Social Networking is positively correlated to the students’ academic performance. This result supporting some of the previous study highlighting the benefits of Online Social Networking to the students.

Higher-order spreading structure in social networks

In the research of network structure, long ties are considered to be a hidden but valuable interaction. In this paper, we innovatively interpret the long ties structure in traditional research as a higher-order information spreading path. It effectively avoids the homogenization of information level and redundancy of network structure. The spreading bridge model based on high-order long ties structure is established accordingly. Modern online social behavior is modeled by establishing spreading expansion rate and spreading diffusion rate to improve model adaptability. The spread dynamics model based on multivariate interactions is developed by combining direct-linked spread as a binary interaction relationship in traditional research with bridge-linked spread. The validity of the model is verified by comparing the model simulation results with real cases.