Social Media Interactions Research Articles

Proposed Model to Find Most Prominent Node in Social Media Network for Cyber Crime Detection Using Modified Cluster Walktrap and Analytical Hierarchy Process

Proposed Model to Find Most Prominent Node in Social Media Network for Cyber Crime Detection Using Modified Cluster Walktrap and Analytical Hierarchy Process

A discussion on social media addiction from the perspective of social psychology in the relationship between college students and teachers based on biological evolution models

This study explores the biomechanical mechanisms of social media addiction, with a particular focus on its long-term effects on brain function and hand muscle control. By combining neurobiological and biomechanical models, this article analyzes how social media use enhances user dependency by activating the brain’s reward system, particularly the dopamine system, and leads to muscle fatigue and precision adaptation through repeated hand movements such as sliding and clicking. The dopamine release model we proposed reveals temporal changes in dopamine during social media interactions, further influencing users’ behavioral patterns and self-control abilities. Based on the muscle fatigue model, we demonstrate the adaptation process of hand muscles during continuous repetitive operations, resulting in improved hand accuracy but also accelerating the accumulation of fatigue. In addition, the prefrontal cortex activity model suggests that long-term social media use may weaken an individual’s impulse regulation function by reducing self-control. To verify these biomechanical effects, we have demonstrated through experiments that the SVD recommendation algorithm exhibits significant advantages over traditional recommendation algorithms in improving operational accuracy, reducing reaction time, and alleviating muscle fatigue. The experimental results show that the SVD model not only improves the accuracy of the recommendation system, but also optimizes the interaction experience between users and the platform, effectively reducing the biomechanical and cognitive burden.

Me, myself, and I: Self-presentation, self-esteem, and uses and gratifications on Facebook, LinkedIn, and TikTok

Empirical evidence has suggested a positive correlation between authentic self-presentation on social media and improved mental health and well-being. False self-presentation, conversely, may bring about negative outcomes to subjective and psychological well-being. Our study examines the different selves that users present, as well as factors influencing self-presentation, on social media platforms. Results from 392 survey responses suggest that, first, users present themselves differently on Facebook, LinkedIn, and TikTok; generally, they tend to present their real and ideal selves more than the false selves. Second, users seek significantly different uses and gratifications from different social media platforms (e.g., maintaining existing relationships on Facebook, meeting new people and socializing on LinkedIn, or entertainment purposes on TikTok); nevertheless, education and information is a common motivation for social media use. Third, social media uses and gratifications, social media usage, and self-esteem are influential factors of users’ self-presentation on social media. The dynamics of these influential factors, however, differ across platforms. Theoretical implications, as well as empirical suggestions to enhance the quality of social media interactions, are further discussed.

A Content Analysis of Digital Marketing Strategies of Formula Companies and Influencers to Promote Commercial Milk Formula in Hong Kong.

This study examines the compliance of the digital marketing strategies used by formula companies and social media influencers in promoting commercial milk formula (CMF) for infants and young children with the International Code of Marketing of Breast-milk Substitutes (International Code) and the Hong Kong Code of Marketing of Formula Milk and Related Products, and Food Products for Infants & Young Children (HK Code). Content analyses on influencers' posts, websites and social media sites of five major formula companies were conducted to identify the digital marketing strategies used, evidence of product cross-promotion, and compliance with the International and HK Codes. Statistical analyses were performed to assess the associations between marketing strategies and social media interactions (likes/comments/shares). The findings revealed widespread noncompliance to the two codes by both influencers and formula companies. Of 1036 influencer (n = 493) and formula company (n = 543) materials mentioned products covered by the Codes, all influencer materials and 95% of company materials violated at least two provisions of the Codes. Persistent brand promotion and cross-promotion strategies were observed in CMF marketing in Hong Kong, with tactics such as parents' sharing, showing images of happy children and families, and celebrity endorsements leading to higher social media interactions. The extensive CMF promotion by influencers and the covert cross-promotion and brand promotion are of particular concern given the lack of regulation in this area. The study calls for a comprehensive review and introduction of legalisation in Hong Kong to govern CMF marketing, ensuring enforcement as outlined in the Convention on the Rights of the Child.

Millennials’ use of social media and its impact on communication skills

ABSTRACT The current research endeavors to investigate the possible correlation between social media usage and self-perception of success in both written and oral communication among the Millennial cohort. The sample comprised 429 individuals aged between 18 and 25, who were subjected to a survey that aimed to elicit their self-perception of communication practices and media usage. Statistical analyses of the data revealed that there is no discernible association between the number of social media sites used, frequency of checking, or frequency of posting on social media, and the oral and written communication skills of Millennials. Notably, the number of friends on social media was also found to have no influence on perceived written skills. Nevertheless, the study found significant impacts of social media usage and interactions on some facets of oral communication, such as vocal confidence, articulation, and eye contact. Given that Millennials constitute one of the largest generational cohort in history, their influence on both the society and the business realm is profound.

Features of Medan's Millennials and Z-Gens as Social Media Users

Objectives: The study aimed at examining two generations behavior (Generation Y and Generation Z), especially on social media. The respondents are Gen Y and Gen Z in Medan City, North Sumatra Province, Indonesia. The study focuses on similarities and differences in digital communication behavior between these two generations on social media. Stakeholders such as the government that formulates public policies, industry, politicians, and so on, need to map and understand what the characteristics of social media users are their citizens. Methods: The researchers used quantitative methods with descriptive statistical analysis techniques with a total of 400 respondents. Data was collected using questionnaires and analyzed using the statistical utility SPSS. Results: Research has shown that Generation Y prefers Facebook, while Generation Z prefers Instagram and YouTube. Both generations spend 30–60 minutes on social media, especially at night. While the level of caution on social media tends to appear in Gen Z. A significant difference between the two generations can be seen in the topics they post on social media, Gen Y posts topics about family more often. Meanwhile, Gen Z posts more about achievements. But in terms of how to communicate with each other, these two generations are no different. The majority of these two generations interact online every day with their friends, be it through social media, chat applications, or gaming. Conclusions: Social media interaction has replaced interaction in the real world. Generation Y and Generation Z, as social media users, develop different communication behaviors compared to the other older generations.

Stakeholder engagement in carbon reduction engineering: A perspective analysis of production optimization leveraging social-media interactions

Stakeholder engagement in carbon reduction engineering: A perspective analysis of production optimization leveraging social-media interactions

Social Media Marketing in Banking: Measuring Engagement and Customer Acquisition in Cameroon

Gaining new clients is extremely difficult for Cameroon's banking sector, especially in the digital era. This study looks into how social media marketing affects Cameroon's banking sector's ability to acquire new clients. The main contention is that social media marketing can be a useful strategy for banks looking to expand their clientele. This study aims to investigate the connections among customer acquisition, influencer alliances, content quality, and social media engagement in Cameroon's banking sector. To investigate the associations between the variables, a multiple regression analysis is used as part of a quantitative research strategy. The study's findings suggest that, in the banking sector, social media engagement and content quality are important indicators of client acquisition. According to the study's conclusions, Cameroonian banks ought to give social media interaction and high-quality content top priority when developing their marketing plans. The study advances our knowledge of the connections between social media marketing and customer acquisition in the banking sector and offers guidance to Cameroonian banks looking to use social media marketing to attract new clients.

THE INFLUENCE OF SOCIAL MEDIA INTERACTION ON VISITING DECISION IN INDONESIA (CASE STUDY: SURVEY TO ACTIVE FOLLOWERS OF FOLK INDONESIA INSTAGRAM ACCOUNT)

This study was prepared with the aim of knowing how much influence Instagram social media interactions have on the visiting decisions of followers of the Indonesian Folk account (@folkindonesia) in Indonesian tourist destinations. The approach used is a quantitative approach with a purposive sampling data collection method, which was conducted by distributing questionnaires to 144 active followers of Folk Indonesia accounts who meet the criteria. Data analysis was conducted using simple linear regression analysis. The results showed that Social Media Interaction (X) that occurs on Folk Indonesia accounts has an influence on Visiting Decision (Y) of 62.2%. Thus, the results show that the most common reason for following Folk Indonesia is because they like the uploads, which is shown through the quality of the visual content (photos and videos) uploaded. This in turn plays a role in influencing the visiting decision made by its followers.

Entrepreneurs’ self-efficacy and business opportunity identification during COVID-19: the moderating role of social media interactions

ABSTRACT Since the coronavirus disease 2019 (COVID-19) outbreak, there has been a progressive increase in the number of entrepreneurial exits. Interestingly, there have also been success stories of entrepreneurs who succeeded in taking advantage of this crisis to transform themselves, such as by adapting business models and revolutionizing entrepreneurship practices. Although clouded by various uncertainties and setbacks, promising opportunities exist in the market for entrepreneurs to discover and tap into. Drawing upon social cognitive theory, this study provides an explanation for why some entrepreneurs may be more successful than others in their search for business opportunities during difficult times such as the COVID-19 pandemic. Our multiple regression analyses of a sample of 405 microentrepreneurs from Japan during the pandemic highlight three notable findings. First, there is a positive association between entrepreneurial self-efficacy and business opportunity identification. Importantly, this positive association becomes stronger when entrepreneurs are also actively involved in digital communities with other entrepreneurs, which can be determined by their experience with a unified sense of community and their engagement in collaborative knowledge creation. Both theoretical and practical implications are discussed.

Antara Idola dan Konsumsi: Hubungan Parasocial Relationship dengan Perilaku Konsumtif Penggemar K-pop di Surabaya

Social media interactions allow fans to feel closer and more connected to their idols, even though these interactions are only virtual and one-sided, known as parasocial relationships. This relationship can build an emotional bond between idols and fans, which can encourage fans to spend money as a form of support for their idols, such as purchasing merchandise, albums, concert tickets, or branded items worn by the idols. This study aims to determine the relationship between parasocial relationships and consumptive behavior among K-pop fans in Surabaya. The research uses a correlational quantitative method with 256 K-pop fans in Surabaya as respondents, selected using purposive sampling with criteria explained during the data collection. The research scales used include a consumptive behavior scale with a Cronbach's alpha value of 0.941 and a parasocial relationship scale with a Cronbach's alpha value of 0.921, indicating good psychometric quality. Data analysis was performed using the Pearson Product Moment parametric correlation technique with the IBM SPSS 25.0 for Windows software. The results of the study show a significant positive relationship between parasocial relationships and consumptive behavior. Therefore, the hypothesis in this study is accepted. This means that the higher the parasocial relationship behavior, the higher the consumptive behavior among K-pop fans in Surabaya. Keywords: Consumptive Behaviour, Parasocial Relationships, K-pop Fans

Impact of Social Media on Political Campaigns: Management, Strategies and Results

Introduction: The relevance of this topic is that social media has become a crucial tool for communication and political campaigns. As a significant portion of society now resides in the online space, it is crucial to study the strategies and outcomes of using social media in politics to understand the impact of these platforms on public opinion and electoral processes. Analysing this issue enables the identification of significant trends and the development of approaches for the optimal use of social media in a political context. This research aims to comprehensively analyse and systematise the strategies used in political campaigns on social media. Additionally, it seeks to evaluate the influence of these strategies on public opinion and electoral processes. Objectives: The study aims to uncover the critical aspects of social media usage in politics, identify vital strategies, assess their impact on voters, and examine the formation of political leaders' images. The objective also includes studying the positive and negative aspects of using social media in political campaigns and determining opportunities for optimising this processin line with legalandso cialre quirements. Methods: There search methodology in volvesan alysing literary our cesto identify critical theories and concepts related to social media interaction with political campaigns. Case studies are used to explore actual examples of social media usage in political campaigns. Expert surveys are conducted to gather specialist opinions. The content analysis method is applied to thoroughly study textual and visual content on social media during political campaigns. This approach aims to comprehensively analyse the impact of social media on political campaign sand determine the factors that contribute toits effectiveness. Results: The article reveals strategies for influencing social media on political campaigns based on obtained data. It highlights key aspects of their impact, such as interactivity, microtargeting, and the use of viral content. The research also considers legal and sociological aspects of this phenomenon, including the regulation of social campaigns and criteria for the acceptability or unacceptability of certain strategies. Conclusions: Thearticleanalyses social media's influence on political campaigns, exploring different strategies for utilising these platforms and their outcomes. Various methods, such as literature analysis, case studies, expert surveys, and content analysis, have enabled the systematisation of knowledge about the interaction between social media and political campaigns. Various aspects that influence the effectiveness of social media usage in politics have been identified, including microtargeting, viral content, and interactivity. The text discusses different types of political campaigns, such as electoral, lobbying, and socio-activist, providing the reader with a deep understanding and contextualisation of the issue.

A Cross-Sectional Study on the Relationship Between Social Media Use and Frailty Among the Older People in Japan.

This study investigates the relationship between social media use and frailty in older adults, focusing on the influence of social media engagement and various frailty-related factors. A survey was conducted with 103 participants aged 65 and above, who completed a questionnaire on their social media usage, psychological well-being, dietary habits, physical activity, sleep patterns, and social interactions. Frailty was assessed using the Kihon Checklist, categorizing participants into non-frailty, pre-frailty, and frailty groups. The analysis was conducted using ordinal logistic regression to examine the relationship between social media usage and other frailty-related factors (e.g., psychological factors, sociality, diet, and exercise) with frailty status. The findings revealed that social media engagement was significantly associated with frailty status, with higher levels of engagement linked to reduced frailty. Specifically, participants who reported higher levels of social media interaction also reported better psychological well-being, increased social interaction, and greater engagement in physical and leisure activities. These results suggest that social media use may have a positive impact on frailty, potentially by enhancing social connectivity and promoting healthier lifestyle choices in older adults. Further research is needed to explore the mechanisms through which social media can mitigate frailty and promote healthy aging.

Classroom data science: data and dataing for making sense of multivariate plant growth

Abstract What is considered data and how it is communicated publicly is rapidly changing. Participation in society involves multiple opportunities to engage with complex statistical concepts in media, in personal health, and regarding climate change. Children also are engaging with evolving data types in social media interactions and in educational contexts where they are the data. Yet little time is spent in classrooms supporting children to explore and make their own data decisions about various data types. This study investigates the role that fourth graders’ use of graphing conventions played in supporting their conceptual development of: non-traditional data and dataing during one lesson. The author hopes to contribute a new perspective in conceptualising dataing as enculturating statistical practices around data that involves multiple features, to communicate key information, involving tools for engaging with statistics to communicate a story. In this case study, a video clip presented an entrance point in exploring multivariate data (multiple variables). Video observation and student graphs revealed insights into children’s data and dataing experiences and processes involved with multivariate data, supported by a classroom culture that valued statistical processes as a creative and meaningful, story-telling endeavour. When students were tasked with representing plant growth using a graph, displays included a wide range of variables such as patterns of leaf growth and qualitative stages of plant growth. Engaging with multivariate data in exploratory ways supported students in this study to play with graphing conventions, establishing local mathematical practices involving non-traditional data.

The effect of positive and negative daily social media emotional experiences on older adults’ subjective age: Unveiling the negativity bias in WhatsApp groups

Social media has become instrumental for older adults in maintaining social connections, which are an integral component of older adults’ well-being. However, little is known about how daily positive/negative social media emotional experiences are associated with older adults’ subjective views of aging. The current study examined daily emotional experiences related to WhatsApp groups and their association with subjective age (feeling younger/older than one’s chronological age). Data were collected from 42 Israeli older adults who confirmed daily WhatsApp usage ( Mage = 74.30, SD = 8.39). Participants reported their daily WhatsApp emotional experiences in family/other groups and daily subjective age over 14 consecutive days, resulting in 557 completed reports. Results demonstrated that on days older adults reported negative WhatsApp group emotional experiences they felt older. Positive emotional experiences were associated with feeling younger solely when these experiences were reported in relation to family WhatsApp groups. Time-lagged models further indicated that only negative (but not positive) WhatsApp emotional experiences on a given day predicted an older subjective age the following day. The results underscore the significance of daily social media emotional experiences in shaping older adults’ daily subjective age. They also indicate the presence of a negativity bias effect in social media interactions among older adults.

Social Media and Knowledge Sharing: Impact on Academic Development in Public Universities of Kanpur

Background ContextEducation have been profoundly impacted by social networking, which has completely changed the way we acquire and exchange information. Since social media is interactive, it makes learning more effective by giving people a forum for conversations and information sharing. Social media platforms have significantly influenced how individuals interact and exchange information, impacting educational practices by enabling students to share and access knowledge more effectively. This shift is particularly relevant in academic environments where collaborative learning and resource accessibility are crucial. Knowledge GapDespite extensive social media usage among students, limited research addresses its specific impacts on academic growth in public universities, especially in regional contexts like Kanpur, India. This study seeks to fill this gap by exploring how social media supports academic development, focusing on factors like trust, collaboration, communication, and perceived benefits. MethodsUsing a cross-sectional survey design, data were collected through structured questionnaires from students across three major public universities in Kanpur. Structural Equation Modeling (SEM) was applied to examine the relationships between social media use and academic outcomes, emphasizing mediating factors such as family and technological support. Key FindingsThe analysis shows that social media interactions notably enhance academic development by building trust, fostering collaboration, and promoting effective knowledge sharing. Support from family and access to technology further strengthen these benefits, positively influencing students’ academic engagement and performance. ImplicationsThese findings suggest that educational institutions should consider integrating digital collaboration tools into their academic frameworks and support policies that enhance family and technological access. Such initiatives can help students leverage social media effectively for academic growth, making it a valuable educational resource. Future research might expand on these insights through longitudinal studies to capture evolving academic-social media dynamics.

From Pakho Chau to Joker Xue: A Multidimensional Comparison of Concert Marketing Strategies

As the impact of the pandemic gradually weakens, the global economy has entered a downturn period. However, cultural consumption, especially the concert market, has shown a strong trend of recovery. Concerts, as a unique outlet for emotional release, carry the expectations of countless people. The shocking music and gorgeous stages bring people unparalleled emotional value and become a panacea for soothing the soul. Precisely because of this, this phenomenon deserves our in-depth exploration. This research focuses on two singers with unique stylesJoker Xue and Pakho Chauand discusses the marketing strategy issues faced by entertainment companies in the face of competition in their concert markets. Through market research, analysis of fan behavior, and data from past concert cases, it is found that Joker Xue has a wide fan base thanks to his unique humorous style and soulful songs, and it is suitable to strengthen social media interaction and topic marketing for him. Pakho Chau, on the other hand, has attracted a large number of fans by virtue of his influence in the Cantonese-speaking regions and solid singing skills. His marketing strategy can focus on regional promotion and offline event marketing. Based on the above analysis, this article suggests that entertainment companies comprehensively apply diversified online and offline strategies to enhance their market competitiveness. This research provides theoretical and practical support for dealing with the competition in the star concert market and helps entertainment companies gain an advantage and maximize their commercial interests in the fierce competition

Cultural sustainability through social networks: a moderated mediation model exploring the psychological dimensions of cultural dissemination.

The present study examines the role of social network diversity in fostering cultural sustainability among Chinese social media users. Utilizing a quantitative methodological approach, data was gathered from a sample of 1,200 active users across various Chinese social media platforms. Participants completed surveys assessing the diversity of their cultural interactions on these platforms, their levels of cultural empathy, cultural adaptability, and the sustainability of cultural practices. The findings indicate that greater diversity in social media interactions is significantly associated with higher levels of cultural empathy, which in turn enhances both cultural adaptability and sustainability. Furthermore, psychological flexibility was found to moderate these relationships, suggesting that individuals with higher flexibility are better able to leverage diverse interactions into sustainable cultural practices. These results emphasize the potential of social media as a tool for cultural preservation and adaptation in the face of globalization. Implications for policy makers and social media platforms center on fostering environments that support diverse cultural exchanges to enhance cultural sustainability. This research contributes to the understanding of how digital interactions can influence the long-term maintenance and adaptation of cultural heritage in a rapidly changing world.

Explainable AI-based suicidal and non-suicidal ideations detection from social media text with enhanced ensemble technique

This research presents a novel framework for distinguishing between actual and non-suicidal ideation in social media interactions using an ensemble technique. The prompt identification of sentiments on social networking platforms is crucial for timely intervention serving as a key tactic in suicide prevention efforts. However, conventional AI models often mask their decision-making processes primarily designed for classification purposes. Our methodology, along with an updated ensemble method, bridges the gap between Explainable AI and leverages a variety of machine learning algorithms to improve predictive accuracy. By leveraging Explainable AI’s interpretability to analyze the features, the model elucidates the reasoning behind its classifications leading to a comprehension of hidden patterns associated with suicidal ideations. Our system is compared to cutting-edge methods on several social media datasets using experimental evaluations, demonstrating that it is superior, since it detects suicidal content more accurately than others. Consequently, this study presents a more reliable and interpretable strategy (F1-score for suicidal = 95.5% and Non-Suicidal = 99%), for monitoring and intervening in suicide-related online discussions.

AFFILIATE MARKETING STRATEGIES TOWARDS CUSTOMER ENGAGEMENT AND SALES CONVERSION OF APPAREL PRODUCT AMONG WORKING-CLASS MILLENNIALS

This study determined the impact of affiliate marketing strategies on customer engagement, repeat engagement, sales conversion, and key performance metrics such as social media engagement, click-through rate (CTR), and time spent on page, specifically targeting workingclass millennials. The researchers employed non-probability sampling methods, including purposive, quota, and convenience sampling techniques, selecting 150 participants who were familiar with affiliate marketing and actively purchased apparel products online. The findings revealed that most participants were aged 28-30 years, predominantly female, married, and had a monthly income ranging from Php 15,001 to Php 20,000. Affiliate marketing strategies significantly enhanced customer engagement, with social media interactions and influencer promotions fostering strong connections between consumers and brands. Metrics such as social media engagement, CTR, and time spent on page indicated that well-executed campaigns effectively drive traffic, keep customers engaged, and encourage repeat transactions. Influencers played a critical role in fostering repeat engagement and customer loyalty through consistent promotions and personalized content. Ultimately, the study concluded that affiliate marketing strategies successfully convert customer interest into purchases, increasing both immediate and repeat transactions through trusted recommendations and clear calls to action.