Behavior Of Social Media Users Research Articles

Information management in social media to promote engagement and physical activity behavior

Social media can be an effective tool to foster values and lifestyles such as physical activity. However, it is still largely unknown what type of social media information helps to promote physical activity practices. This research aims to (1) identify the combination of variables that explain social media engagement in physical activity (SME-PA) and its relationship with physical activity behavior and (2) determine what type of social media content posted on social media could be most effective in promoting physical activity behaviors. Using a quasi-experimental and an experimental study, the findings showed that the conditions of high levels of information availability, social ties, trust in social media information, and opportunity seeking were present and combined in three of the four solutions (77% of the cases). SME-PA was correlated with the intention to improve physical fitness, and the physical shape, the type of benefit associated with physical activity practice and the gender of the person in the photo practicing physical activity were found to be relevant variables for improving the physical activity-related behavior of social media users. Finally, several implications are proposed to improve the administration of social media content for SME-PA.

The power of flattery: Enhancing prosocial behavior through virtual influencers

AbstractWhile prior work suggests the significant role virtual influencers (VIs) can play in addressing social and welfare issues, it remains unclear how they can increase social media users' engagement in prosocial behaviors. The current study examines the role of influencer flattery in driving the prosocial behavior of social media users. Specifically, the research investigates how flattery and humanlike appearance influence the perceived authenticity of VIs and the subsequent prosocial behavior of social media users (Studies 1 and 2). Furthermore, the research substantiates these effects by exploring how flattery and anthropomorphism via humanlike traits impact perceived authenticity and prosocial behavior when social media users witness the influencer praising others (Study 3). Beyond intention to donate (Study 1), the study also investigated its impact on related prosocial behaviors, such as click‐through behavior (Study 2) and the willingness to pay for fundraising merchandise (Study 3). The findings of this research offer concrete implications for nonprofit organizations by demonstrating the persuasive impact of flattery, perceived authenticity, and anthropomorphism in mobilizing public support, donations, and merchandise purchases for social causes.

Digital Economic Transactions in Online Purchase: A Study on Social Media Accounts

Indonesia has great potential for development in the digital economy, but the behavior of social media users has not yet had an impact on it. The purpose of this study was to explore the behavior of social media users in conducting digital economic transactions. The methodusedwasdescriptive qualitative, with eight subjects selected by purposive sampling by prioritizing the credibility of the informant. The results showed that the development of the digital economy was supported by existing technological developments. However, the behavior of social media users is still diverse, some have a positive influence, and some have a negative influence, so there is a need for government intervention in providing a platform, direction, and also supervision in conducting digital translation. Wider public awareness is also needed to improve the digital economy in a more positive direction.
 Keywords: digital economy, social media, user behavior, transactions

Determinants of religious tourists’ social media usage behaviour

ABSTRACT The phenomenon of religion, as a crucial element of human behaviour, is one of the main motives for travelling. Although religious tourism movements are increasing, the behaviour patterns of religious tourists on various communication platforms such as social media have been mostly neglected. The objective of this study is to examine the antecedents of religious tourists’ intention to share tourism experiences on social media, based on the Technology Acceptance Model. The data were collected from 325 international tourists visiting Vatican City. Findings indicated that user experience level with social media influences perceived usefulness and perceived ease of use, which are significant determinants of intention to share tourism experiences on social media. Results also highlighted the negative moderating role of religiosity level on the relationship between these variables. Hereby, the study contributed to the literature by showing that religious tourists represent a heterogeneous market segment having different religiosity levels and social media usage patterns.

The Mediating Role of Public Identity in the Relationship Between Social Media Service Quality and Visitor’s Satisfaction in Palace Museum, China

Purpose: This study presented the incorporation of social media platforms within cultural institutions has brought about a paradigm shift in the manner in which museum visitors interact with their surroundings, thereby facilitating enhanced accessibility to exhibits and cultivating immersive and participatory encounters. The present study aims to explore the implications of social media usage habits and social media usage behaviour on visitor satisfaction within the renowned Palace Museum in China with the present of mediating factor of public identity.
  
 Theoretical framework: This study aims to contribute to the existing body of knowledge by conducting a comprehensive analysis of visitor perceptions and interactions with the social media offerings of the Palace Museum. By examining the influence of social media usage habits and social media usage behaviour on visitor satisfaction, this research seeks to provide valuable insights that can be utilised to enhance the digital museum experience.
  
 Design/methodology/approach: The main research methods adopted in this paper is questionnaire survey. The questionnaire items designed in this study. The questionnaire is mainly designed from the perspective of tourist experience. This paper uses PLS-SEM statistical software to test the reliability analysis of each measurement variable of the questionnaire and carries out cumulative analysis of variance for these measurement variables. PLS-SEM is used to analyse the factors, and the relevant factors and fitting indexes are obtained.
  
 Findings: The attribution of the substantial influence of tourist satisfaction to both the habits of tourist social media usage and their behaviour in utilising social media can be ascribed to a confluence of psychological, social, and informational factors. This discourse explores the rationales behind the pivotal role played by these dual facets of social media involvement in shaping the overall contentment of tourists.
  
 Research, Practical & Social implications: The present framework offers valuable insights into the intricate dynamics that exist between one's virtual presence and their tangible experiences, particularly in the realm of contemporary travel. Through the strategic utilisation of these mechanisms, social media exerts a profound impact on the formation of tourists' expectations, the unfolding of their experiences, and the subsequent reflections thereof, thereby exerting a discernible influence on their overall satisfaction with their travel endeavours.
  
 Originality/value: The study provides valuable insight on the global trend of museums embracing digitalization, the present study provides valuable insights into the optimisation of social media strategies. By focusing on the Palace Museum and its broader implications, this research aims to enhance visitor encounters by fostering greater fulfilment and engagement.

Systematic Literature Review on Driving Factors of COVID-19 Related Fake News Sharing on Social Media

During the COVID-19 pandemic, the news sharing behavior of social media users has exacerbated the proliferation of fake news, contributed to significant negative impacts on the public and society. This study aimed to explore the driving factors of COVID-19 related fake news sharing on social media and identify interventions to combat its dissemination. A systematic literature review under the guideline of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was conducted using various databases, resulting in several key findings. Individual motivations such as information sharing, socialization, altruism, and self-promotion were identified as significant drivers of fake news sharing. Cognitive and emotional factors like trust in online information, perceived information overload, and social media exposure were also predictors of fake news sharing. Cultural and religious factors, as well as news content characteristics, were found to be correlated with COVID-19 fake news sharing. Facebook and WhatsApp emerged as the most commonly used platforms for sharing fake news. To address this issue, collaborative efforts are necessary involving individuals, social media platforms, technological institutions, governments, and public agencies. The study provides comprehensive insights into the driving factors behind COVID-19 related fake news sharing on social media and presents potential interventions to mitigate its spread. These findings can increase public awareness of the underlying reasons for fake news sharing and assist governments and public health institutions in devising strategies to handle fake news during future health crises.

Retracted: Precise Dissemination of E-Commerce Information and Behavior of Social Media Users

Retracted: Precise Dissemination of E-Commerce Information and Behavior of Social Media Users

Correlates of compulsive use of social media and academic performance decrement: A stress-strain-outcome approach

Social media users feel overwhelmed by the amount of information inundated by followers and friends they have on various platforms of social media. They devote a lot of time to maintaining these online connections. This causes social media fatigue and poses a serious risk to social media users' wellbeing and productivity. Students could become victims of compulsive social media usage, which could lead to a decline in their academic performance. With the help of the stress-strain-outcome framework, this study attempts to establish the indirect relationship between compulsive use of social media and academic performance decrement via social media fatigue. Further, this study examined the moderating role of self-control (SC) in the relationship between social media fatigue and its negative effect on academic outcomes, which has not been analyzed so far. The effect of moderated mediation was assessed using the PROCESS Macro. The findings of the study suggest the mediating role of social media fatigue between compulsive use of social media and academic performance decrement. Further, the moderating role of self-control was established between social media fatigue and academic performance decline. The originality of the study lies in associating social media fatigue with decrement in academic performance and showing how self-control is helpful in mitigating its effects. This analysis can be insightful for students and educators who tend to ignore the negative impact of students' over-reliance on social media on their academic performance. The findings suggest that social media overuse by students requires self-regulation and requires careful scrutiny by educators in creating appropriate solutions to lessen social media's detrimental influence on higher education. The research provides useful recommendations for self-control on social media usage behavior.

A prediction model of users' attention transfer in the context of multitopic competition

PurposeMultiple topics often exist on social media platforms that compete for users' attention. To explore how users’ attention transfers in the context of multitopic competition can help us understand the development pattern of the public attention.Design/methodology/approachThis study proposes the prediction model for the attention transfer behavior of social media users in the context of multitopic competition and reveals the important influencing factors of users' attention transfer. Microblogging features are selected from the dimensions of users, time, topics and competitiveness. The microblogging posts on eight topic categories from Sina Weibo, the most popular microblogging platform in China, are used for empirical analysis. A novel indicator named transfer tendency of a feature value is proposed to identify the important factors for attention transfer.FindingsThe accuracy of the prediction model based on Light GBM reaches 91%. It is found that user features are the most important for the attention transfer of microblogging users among all the features. The conditions of attention transfer in all aspects are also revealed.Originality/valueThe findings can help governments and enterprises understand the competition mechanism among multiple topics and improve their ability to cope with public opinions in the complex environment.

Implementation of Wasathiyah Concept for Virtual Communities

<p>This study discusses how the concept of <em>wasathiyah</em> in Surah Al Baqarah 143 is applied in the digitalization era. In some ways, the changes that have occurred are not accompanied by human readiness as social media users. So various problems of religious moderation arise on social media such as shifts in religious authority, distorted understanding of religion, and abnormal behavior of social media users towards religious issues. For this reason, it is necessary to explain the concept of <em>washatiyah</em> in the Qur'an as a digital literacy guide for virtual communities in the era of <em>society </em>5.0 to shape the moderate behavior of social media users. Various previous studies have discussed religious moderation in a normative-traditional context. Therefore it is necessary to apply the <em>wastathiyah</em> which applies to virtual space in this digitalization era. This study uses library data collection, in the form of books and interpretations of verses of the Qur'an, especially surah Al Baqarah verse 143. The results of the study show that first, moderate behavior in surah Al Baqarah 143 <em>tawassuth ,bawazun</em> <em>,</em>and <em>tasamuh</em>. Second, the principle of fairness in commenting on social media must be applied. Third, moderation can be implemented by filtering information before commenting.</p>

Understanding Payment Transaction Behavior of Social Media Users: An Empirical Study on WeChat

Understanding Payment Transaction Behavior of Social Media Users: An Empirical Study on WeChat

Cross cultural Comparative Study on Emotional Analysis of Social Media

With the popularization of social media and the acceleration of globalization, cross-cultural social media research has become an increasingly important research field. This article takes cultural differences as the starting point to explore the use and impact of social media in cross-cultural environments. The study used a combination of quantitative and qualitative methods to collect social media data from users from different cultural backgrounds, and conducted data analysis and comparison. Research has found that users from different cultural backgrounds have significant differences in social media usage behavior, content expression, and interaction methods. At the same time, the use of cross-cultural social media will also have different impacts on users’ cultural identity, social relations and mental health. The research results have certain reference value for promoting cross-cultural communication, enhancing cultural understanding, and improving the effectiveness of social media usage.

Анализ онлайн-поведения российских пользователей новых медиа в периоды политической напряженности в 2020-2021 гг.

The article explores online behavior of social media users during two periods of political tension in 2020-2021 in Russia. Online behavior is considered as one of the principal factors influencing political participation. The author analyses the case of protests, held in Russia in the beginning of 2021. That period of political tension is compared with another one (August-September 2020) when there were no civil protests. The analysis provides evidence that politicization of internet users increased during the period of the protests. It affected both production and consumption of the social media content. Facebook, Twitter, YouTube and TikTok turned out to be the most politicized, their users showed greater involvement in political discourse and greater polarization. The politicization of users increased along with the growth of their interest in certain types of content: live coverage of events those stimulated political tension, as well as personal attitudes to what was happening expressed by public persons and ordinary users (in Twitter). The Facebook audience shows great interest in the media content and status persons commentaries. Telegram, LiveJournal, Instagram users are less politicized and polarized. News and comments of political strategists dominated here during both periods. The study also reveals about 15 media outlets that had the greatest impact on the social media agenda during the analyzed periods. Content analysis of social media does not allow us to judge the cause-and-effect relationships between online and offline mobilization, but suggests that politicized platforms will more likely catalyze protest activity rather than non-politicized ones.

Understanding the Role of Social Media Users’ Self-Presentation on Social Media Marketing and Brand Loyalty Relationship

The study examined users’ self-presentation in social media and its influence on social media marketing effectiveness. Data were obtained from 324 social media marketing customers of fashion brands aged between 18 and 25. Moderation analysis was conducted to establish the hypothesis regarding the effect of social media marketing on brand loyalty conditioned on users’ self-presentation characteristics. The result of the data analysis supported the effect of users’ self-presentation on social media marketing and brand loyalty relationship. The implication of this study will be in segmenting and targeting social media users based on their social media usage behaviour. This study will complement the information obtained through social media text mining and assist in predictive analytics. This article will help marketing organizations in developing their social media marketing strategy.

Research on the dissemination of celebrities' opinions based on speech act theory and potential category analysis.

With the increasingly prominent role of social media in the timeliness and sharing of information dissemination, more and more research has focused on how to further improve user stickiness through social media. However, there is little consideration of the impact of celebrities' views on user behavior in social media. The main goal of this paper is to study the influence of celebrity language style on user communication and opinions dissemination. First, it analyzes the language style characteristics of celebrities' opinions and conducts cross-influence analysis between celebrity language style characteristics and user communication characteristics. Based on speech act theory, this study studies the influence of different language styles of celebrity Microblog on users' communication behavior and then builds a potential category analysis model to subdivide the views of celebrities. The results show that (1) Positive expression is the most common language style element combination of celebrities, and it also shows the most effective communication effect. This shows that users like to see celebrities show an active and positive side to the outside world, can analyze external things, and express their own opinions on these contents; (2) The combination of positive emotion, external attention, and analysis can produce the best communication effect; (3) The emotion of celebrities' opinions will affect the communication emotion of users to a certain extent, and the communication of users will have the development trend of reducing positive emotions and increasing negative emotions. Therefore, positive guidance and the dissemination of positive energy are more needed on public social platforms to minimize or avoid the dissemination of negative emotions.

Exploring the health information seeking behavior of social media users under the background of COVID-19 pandemic: An empirical study based on social cognitive theory.

With the outbreak of COVID-19 in late 2019, people's awareness of actively searching for health information has been growing. Coupled with the promotion of "Internet + medical and health," social media, as an important platform for health information dissemination, has become one of the important information sources for users to obtain health information. However, health information seeking behavior in public health emergencies are quite different from those in daily life. Therefore, the research question of this paper is to explore the influencing factors of health information seeking behavior of social media users in the context of COVID-19. To this end, based on the research framework of social cognition theory, this paper selects six variables to construct a structural equation modeling, including information and platform quality, experience, social support, emotional arousal, self-efficacy, and social media users' health information seeking behavior. The empirical study is carried out by collecting 219 valid questionnaires. The research results show that: (1) Information and platform quality, and use experience have a significant positive effect on emotional arousal; (2) Experience, social support, and emotional arousal have a significant positive effect on self-efficacy; (3) Emotional arousal and self-efficacy have a significant positive effect on social media users' health information seeking behavior. The research provides an important theoretical reference for social media users and operators to cope with the huge demand for health information in the post-COVID-19 era.

Internet Addiction and Social Media Addiction in Medical Faculty Students: Prevalence, Related Factors, and Association with Life Satisfaction.

Internet addiction is a growing behavioral health problem in modern societies. In this study, we aimed to determine the prevalence of internet addiction (IA) and social media addiction (SMA) and their relationship with sociodemographic factors, lifestyle habits, and internet usage patterns among medical students.This cross-sectional study was conducted among 280 medical students in a medical faculty, in Istanbul. Self-report questionnaires comprised sociodemographic status, lifestyle habits, internet and social media usage behavior, the Young Internet Addiction Test-short form (s-IAT), and the Bergen Social media addiction scale.The total prevalence of IA was 16.1% (11.8-20.4%), 17.2% (12.8-21.7%) in males and 14.8% (10.7-19.0%) in females. The total prevalence of SMA was 6.1% (3.3-8.9%), 4.8% (2.3-7.3%) in males and 7.4% (4.3-10.5%) in females. No significant difference was found between the sexes in terms of IA and SMA. IA was higher in grade 3 students than in grade 6 students. Multivariate logistic regression analyses showed that reading books at least once per month, high life satisfaction, performing physical activity at least twice per week, and using the internet for communication purposes were independent preventive factors for IA.The current study shows that IA and SMA are common in medical school students. Moreover, IA is associated with socioeconomic characteristics and lifestyle habits such as reading books, life satisfaction, and physical activity. To protect medical school students from IA and develop healthy behaviors, it is necessary to develop prevention strategies and design and implement awareness and education programs.

Comprehensive Study of User Behavior in Social Media Using Business Process Re-Engineering

Business process re-engineering is the representation of a center-business method of measuring designed to improve product returns, quality, or decreasing expenditures. It usually involves investigate organizational processes, finding inferior or wasteful measures, and identifying techniques to disposing or changing them. As of late online media has gotten universal and essential for social systems administration and substance sharing. Online media have reached a step in which its impact is believed by larger connections nowadays. The organizations have had a vital role to play in rethinking their current economic initiatives and planning new business cycles in globalized marketplaces. Our paper discusses topics such as how web-based media shape market cycles and why they take proactive steps in modern companies. An organization's progress relies on the successful performance of its expected results. These market initiatives are also being contemplated whilst a few aspects are being prepared. The internet media promotes a mixture of individuals from separate places to exchange substances, which acts as an essential and critical feature in the characterization of market measures. Business measures through online media are a unique pattern for the present organizations. As web-based media, a rich pool of data through the successful use of modern systems is created. Businesses will profit immensely from online media and this analysis region is also limited by the field of information technology. Our paper is a little focused on the research carried out in the province.

Precise Dissemination of E-Commerce Information and Behavior of Social Media Users

In order to solve the problem that the e-commerce system provides users with more and more choice information, it makes it difficult for users to find the desired products in a large amount of product information, and a research method for accurate dissemination of e-commerce information and behavior of social media users has been proposed. In order to improve the individual sales method of merchants, a method of multiangle analysis of data is proposed by clustering algorithm and classification algorithm. Research shows that there is a big difference between men and women in the use of WeChat, with women accounting for 70%. It can be seen that the respondents were mainly women. People aged 26-40 account for 62.4%, which matches the main consumer group (26-40 years old) in the industry research report. In terms of monthly disposable income, the median and mode are both between 1,000 and 2,000 yuan, which is related to the age distribution of the respondents. The frequency of online shopping 1-6 times/month accounted for 81.5% of the overall sample, and the online shopping experience for more than 1 year accounted for 98.8%, indicating that the respondents generally have the habit of online shopping. Through experimental analysis, the effectiveness of the improved algorithm is verified. In terms of online shopping consumption accounted for the total consumption, the number of people accounted for one-fifth and one-third. It can be seen that online shopping is an indispensable part of people’s daily consumption.

Affective Political Polarization and Hate Speech: Made for Each Other?

Abundant academic research has shown evidence of the growing polarization across the globe both in general and in terms of affective polarization. Previous research on this topic primarily employed reactive research methods like surveys or experiments, which however do not allow researchers to observe the behavior of the units of analysis in a natural setting. Presents an alternative approach that involves analyzing the observed behavior of social media users and identifying the key polarizing cleavages through the study of hate speech with respect to distinct target groups. We present a novel coding schema for textual data, which includes two components: first, an operationalized definition of hate speech as a phenomenon with at least one of the three elements - insult, discrimination, or aggression; and second, an original coding guide for human coders annotating the use of hate speech. We apply our approach to the analysis of empirical data that includes over 5000 posts on the social media platform VK about the meetings between the Presidents of Russia and Belarus in 2020-2021. After coding the collected data, we performed the empirical analysis that identified two generic cleavages. One is about domestic politics in Belarus and Russia, whereas the other is related to the opposition between these two countries on the one hand, and Western countries on the other. We also found an additional Russian/Belarusian cleavage that is peculiar to the collected dataset. Our methodology also allowed us to identify and analyze the dynamics of macro-groups that were targets of hate speech. Importantly, these results - as any other dynamic aspect of analysis - would be highly challenging in research based on reactive methods. Thereby our results highlight the prospects of applying the proposed methodology to a broad range of textual data, as well as the benefits of exploratory analysis that helps overcome the limitations of survey instruments.