Social Media Experience Research Articles

Social Media Experiences of LGBTQ+ People: Enabling Feelings of Belonging

Social Media Experiences of LGBTQ+ People: Enabling Feelings of Belonging

Age variation among U.S adults in social media experiences and beliefs about who is responsible for reducing health-related falsehoods: Secondary analysis of national survey (Preprint)

Age variation among U.S adults in social media experiences and beliefs about who is responsible for reducing health-related falsehoods: Secondary analysis of national survey (Preprint)

Scalable Action Mining Hybrid Method for Enhanced User Emotions in Education and Business Domain

Education sector ,Business field,Medical domain and SocialMedia,huge amounts of data in a single day . Mining this data can provide a lot of meaningful insights on how to improve user experience in social media, users engage in these domains collect and cherish the data as they hope to find patterns and trends and the golden nuggets that help them to accomplish their goal. For example: How to improve student learning; how to increase business profit ability; how to improve user experience in social media; and how to heal patients and assists hospital administrators. Action Rule Miningmines actionable patterns which are hidden in various datasets. Action Rules provide actionable suggestions on how to change the state of an object from an existing state to a desired state for the benefit of the user. There are two major frameworks in the literature of Action Rule mining namely Rule-Based method where the extraction of Action Rules is dependent on the pre-processing step of classification rule discovery and Object-Based method where it extracts the Action Rules directly from the database without the use of classification rules.Hybrid Action rule mining approach combines both these frame works and generates complete set of Action Rules. The hybrid approach shows significant improvement in terms computational performance over the Rule-Based and Object-Based approach. In this work we propose a novel Modified Hybrid Action rule method with Partition Threshold Rho, which further improves the computational performance with large datasets.

A systematic review and meta-analysis of factors and outcomes of digital citizenship among adolescents

ABSTRACT This study systematically reviewed 46 studies on adolescent digital citizenship searched by November 2022 and synthesized that (a) the predictors of adolescents’ levels of digital citizenship include demographic (e.g., gender and computer use experience), individual (e.g., social networking use and Internet skills) and psychological (e.g., Internet self-efficacy and Internet attitudes) factors, and (b) digital citizenship (including digital citizenship levels and education) influences students’ online behaviour and learning such as English writing performance and subject knowledge acquisition. A subsequent meta-analysis of the effect of each predictor on adolescent digital citizenship showed that Internet self-efficacy was the strongest predictor of digital citizenship levels, followed by computer self-efficacy, social media experience and Internet skills, while the effect of digital citizenship education revealed a small to moderate effect on reducing negative online behaviour. Implications for future research on digital citizenship and educational programmes for digital citizenship are discussed.

"Post or Perish"? An Early Career Researcher's Guide to Using Social Media.

Social media usage has soared in the last decade, with the majority of adults having an account on at least one platform. Sites such as LinkedIn, X, and TikTok allow users to share content using different forms, for example, written or video, long form or short form. Social media can be used by researchers to forge collaborations, rapidly disseminate new research, and demonstrate societal impact. This opinion piece aims to highlight the value of social media, in particular for early career researchers, and offer suggestions on how early career researchers can strategically use social media to build a network and an online presence. We reflect on our own experiences of social media and include some of the reasons we have been deterred from it in the past, such as fear of making a mistake, being misunderstood, or painted as being an overconfident "know it all." As the demonstration of impact and engagement becomes ever more important in grant applications and job security, social media competency is a powerful professional skill that will be important for all scientists.

The Influence Of Remote Work On Innovation Work Behavior With Work Life Behavior And Technostress As Moderating Variables

Currently, the advent of presence technology has significantly transformed human lifestyle patterns. Technological advancements have brought about changes and innovations in work systems, leading to the creation of new tools that simplify user experiences in social media. The aim of of this research is to examine and analyze the influence of remote work on innovative work behavior, with work-life balance and technostress as intervening variables. This research method uses research quantitative using a sampling technique, namely purposive sampling. Meanwhile, samples studied as many as 209 respondents which consists of employees and freelancers from technology-based companies in Surakarta. Who participated in filling out 36 online survey questions via Google form. The methodology in the current research combined the use of the Smart-PLS analysis tool version 3.0 software application with the structural equation model (SEM). The results of this research: Innovative work behavior has a substantial and beneficial effect on the remote work variable. Work-life balance suffers greatly from the remote work variable. Technostress has a substantial impact on the remote work variable. The work-life balance variable substantially and favorably influences innovative work behavior. Innovation work behavior has a profoundly beneficial effect on the technostress variable. Through work-life balance, mediation confirms that remote work has an enormous and beneficial effect on innovative work behavior, as supported by the statistical t-value. Through technostress, mediation exhibits that remote work has a favorable and noteworthy impact on innovative work behavior.

Consciousness of undergraduate students in Nigerian universities about security risks of online social networking

This study was designed to examine the consciousness of undergraduate students in Nigerian universities about the security risks of online social networking. Data was collected from 336 students using Qualtrics, an online survey tool. To a large extent, 53.4% of the respondents reported concerns about the specific data that other social media users could possess about them due to their participation in social networking. As high as 72.6% reported that they are aware of pretenders in the OSN; they are very vigilant in adding people to their friends’ list and seriously consider security (75.9%) before posting their photos to avoid exploitation. Indices of the security consciousness are not as high. Except for social media experience (p=0.112) and past privacy invasion (p=0.209), the rest of the variables explained the security risk consciousness of the students.

Unraveling the Social Media Experience: A Captivating Exploration of Uses and Gratifications Theory

Unraveling the Social Media Experience: A Captivating Exploration of Uses and Gratifications Theory

Building Open Pedagogy in Community Colleges

This qualitative study examines open pedagogy as a critical instructional strategy in online community college settings to increase opportunities for authentic interactions that support student persistence. Discourse analysis was used to understand how community college students (n=78) perceive and connect with different aspects of open pedagogy activities. The study's findings underscore the students' awareness of their audience in online settings, their value of collaborative efforts to design digital materials, and the significance of acknowledging the digital learning context. Despite many students choosing to share their work publicly, challenges related to sharing work publicly were illuminated across reflective questionnaire responses. To address these issues, the study recommends enhancing media literacy, providing group collaboration options, and emphasizing institutional support. Further research should explore the influence of social media experiences and AI tools on the public sharing of open pedagogy activities. Ultimately, by embracing open pedagogy in online learning contexts while considering individual student identities and perceptions, community college settings can enhance online interactions, engagement, and student persistence.

A multi-theoretical view on social media continuance intention: Combining theory of planned behavior, expectation-confirmation model and consumption values

This research introduces an innovative multi-theoretical model that combines Expectation-Confirmation Theory, Theory of Consumption Values, and Theory of Planned Behavior.The model sheds light on the intricate determinants influencing users' intentions to continue engaging with social media platforms as a post-adoptive behavior. Drawing upon data collected from 425 valid survey responses, this study affirms the effectiveness of this combined model in predicting users' intentions to persist in using social media and emphasizes the central importance of the Theory of Planned Behavior constructs. The theory of Planned Behavior emerges as the primary driver shaping users' intention for continued social media use, surpassing the significance of the Theory of Consumption Values and Expectation-Confirmation Theory constructs. Furthermore, this study enriches our comprehension of the profound importance of all types of consumption values in the social media context, unveiling a hierarchy of these values and their varying impact on users' intentions to maintain their social media engagement. By embracing users' perspectives across a diverse array of social media platforms, this research enhances the generalizability and applicability of its findings, ensuring their relevance in diverse social media contexts. Additionally, the study delves into the moderating role of social media experience, unveiling intriguing dynamics in user behavior and elucidating the distinctions between experienced and less experienced users in their social media usage patterns. The paper explores the theoretical, methodological, practical, and social implications of these findings.

Belonging, responsibility and reflexivity: mediated intimacy among Finnish nonbinary and trans social media users

ABSTRACT Platforms are essential spaces for gender and sexual minorities to develop identities and build connections. However, even though social media activism has itself been a recurrent unit of analysis, less is known about the ways in which the everyday use of social media facilitates political agency as a form of subjectivity. This article examines the experiences of Finnish nonbinary and trans social media users through a conceptual focus on mediated intimacy. The conceptualisation sheds light on how divergent discourses and institutional sites interweave private and public domains through media, influencing subjectivity. An unstructured diary interview method is utilised to understand the participants’ specific experiences and guide the participants to a better awareness of the feelings sparked by daily media use. Three modes of political subjectivity— belonging, responsibility and reflexivity—are identified. These modes are used to discuss how non-cisgender users navigate their experiences in data-driven media. Emphasis is placed on how the processes of reflecting on one’s gender identity often involves the broader political milieu.

Following mega sports events on social media impacts Gen Z travelers’ sports tourism intentions: the case of the 2022 Winter Olympic Games

ABSTRACT Social media engagement theory provides a theoretical perspective for understanding customers’ social media experiences. However, research on how the social media experience related to mega sports events influences the sports tourism behavior of Gen Z travelers is lacking. Sports tourism is defined as traveling away from home for non-commercial purposes in order to attend or take part in sports events. The current research aims to explore how the experience of following mega sports events on social media would affect Gen Z travelers’ sports tourism decision-making. We chose the 2022 Winter Olympic Games as the research context. Semi-structured interviews were carried out with 20 Chinese Gen Z respondents in June and July 2022. The results revealed four overarching themes that explained the impact of the social media experience of the 2022 Winter Olympic Games on Gen Z consumers’ sports travel intentions: the attractiveness of winter sports, the image of the athletes, the appeal of the event venues, and the content generated by other social media users.

Social Determinants of Health: Healthcare managers’ COVID-19 experiences of poor governance, poverty and social media on health interventions

ObjectivesThe COVID-19 pandemic has highlighted many barriers to healthcare including structural factors like poverty and governance, and intermediary factors such as service delivery, especially in low and middle-income countries where resources are limited. Social Determinants of Health like poverty, governance and access to basic services significantly affect the effectiveness of health interventions. This study aimed to explore healthcare managers’ experiences of delivering health interventions during the COVID-19 pandemic in Gauteng Province, South Africa, using the Social Determinant of Health lens. Study designExploratory qualitative study. MethodsOnline in-depth interviews were conducted with senior healthcare managers at the Gauteng Department of Health, to explore their experiences during COVID-19, using open-ended questions. The data was saturated with 13 respondents and was analyzed thematically and inductively in NVivo 10. ResultsWe identified four interrelated themes that adversely impacted health interventions from the manager's COVID-19 experiences: poor governance through non-service delivery, government distrust, poverty within communities and the influence of social media on societal values. ConclusionThe failure of the government to deliver community services leads to public distrust and in turn has a spill-over effect which constitutes a barrier to healthcare. COVID-19 has reaffirmed that poverty, poor governance and societal values (influenced by social media) are structural Social Determinants of Health that exacerbates the vulnerability of the poor during outbreaks. Poor governance and poverty limit behavioral options, trust and the effectiveness of health interventions. Social support is needed to assist the poor and vulnerable during outbreak. Finally, while social media messages negatively influenced health-seeking behaviors during COVID-19, they are also a potential tool to counter disease infodemics.

Negative social media experiences and lower self-efficacy are associated with depressive symptoms

Abstract Background Social media are an integral part of adolescents’ daily lives, and reviews have suggested an overall small association between more social media use and mental health problems. However, researchers have commonly investigated social media use solely in a time use perspective, rendering nuances in adolescents’ social media experience less well explored. This study examined depressive symptoms in adolescents in relationship to time spent on social media, negative social media-related experiences, and general self-efficacy. Methods Cross-sectional data collected in a national survey of adolescents aged 13-19 years in Norway, Ungdata 2021 (n = 139841), was used. Depressive symptoms were measured with a six-item scale based on the Depressive Mood Inventory. Associations with depressive symptoms were analyzed with multivariate linear regression analyses. Results Time spent on social media was associated with depressive symptoms (β = 0.09, p < 0.001). However, negative social media-related experiences were more strongly associated with depressive symptoms (β ranging 0.09-0.22, all p < 0.001), and their inclusion weakened the initial association between time on social media and depressive symptoms. General self-efficacy was directly associated with lower symptom levels (β=-0.29, p < 0.001) but did not change the associations between social media use and depressive symptoms. Conclusions The findings imply that not only time spent on social media, but in particular negative social media-related experiences, are related to depressive symptoms in Norwegian adolescents. General self-efficacy is an important resource for adolescents’ mental health. Public health initiatives should include efforts to monitor and prevent negative events related to adolescents’ social media use, as well as efforts to increase adolescents’ general self-efficacy. Key messages • Negative social media-related experiences are related to depressive symptoms in Norwegian adolescents. • Public health initiatives may focus on monitoring and preventing negative social media-related experiences among adolescents.

Behind the screens: What underlies the experience of social media as a stressor among adolescents

Abstract Background Social media (SOME) use has been linked to psychological problems in some studies, but the results are mixed. Digital stress may explain the link between SOME and mental health, but the underlying components that constitute the subjective stress experience that may stem from SOME use remain uncertain. Different conceptualizations of digital stress have been proposed, and frequent suggestions include aspects of availability stress, approval anxiety, fear of missing out (FOMO) and time-wasting. Method A survey was conducted with 3568 students (62% girls) at upper secondary schools, to explore potential underlying components related to SOME as a perceived stressor among Norwegian adolescents. The study used linear regression models to analyze predictors of SOME as a stressor, grouped into two main composite measures: ‘FOMO and affected by use’ and ‘Addiction and interference'. In a nested longitudinal sample (n = 432), a first-differencing model was estimated to test the longitudinal associations between the factors and SOME as a perceived stressor. Results SOME was perceived as a stressor at least sometimes for 31 % of the adolescents, with 16 % for girls and 6 % of boys reporting SOME as a considerable stressor. Collectively, ‘FOMO and affected by use’ and ‘Addiction and interference’ explained 38% of the variance SOME as a perceived stressor. In longitudinal analyses, a one unit increase in the composite score ‘FOMO and affected by use’ yielded a 0.52 (p < 0.001) standard deviation increase in SOME as a perceived stressor, while the corresponding estimate was 0.30 (p < 0.001) for ‘Addiction and interference'. Conclusions Our findings highlight important aspects of SOME use that may underlie the subjective stress experience - both in cross-sectional and longitudinal analyses. Our results are consistent with previous findings and indicate that those aspects are important targets for action for both girls and boys. Key messages • Our study sheds light on the components that contribute to social media as a perceived stressor among adolescents, highlighting important targets for action. • The findings suggest that fear of missing out, affected by use, subjective addiction and interference are significant predictors of social media stress, with implications for both girls and boys.

Cross-platform spam messages classification based on the multiple machine learning algorithms

The proliferation of spam messages has had a detrimental impact on users' experience of emails and social media. Consequently, it is imperative to implement effective spam filtering mechanisms to enhance online experiences. Internet companies have leveraged machine learning algorithms to detect and thwart spam messages. Given the multitude of popular social media platforms, it is critical to evaluate the efficacy of prevalent machine learning algorithms across diverse online platforms. This study seeks to assess the performance of Support Vector Machine, Linear Regression, and Random Forest on social media. To this end, datasets containing spam and non-spam messages sourced from YouTube comment sections and Twitter will be procured. The text data will be transformed using a vectorizer to enable interpretation by machine learning models. Three models employing SVM, Linear Regression, and Random Forest will be trained and deployed to test their effectiveness. The models will be applied to detect spam messages in the test dataset, YouTube comment set, and Tweet set. The performance of the models will be evaluated based on accuracy, F1 score, and precision score. The findings indicate that the models' performance on various social media datasets is not satisfactory, as there is a significant reduction in accuracy.

Social Support-Seeking Strategies on Social Media at the Intersection of Lesbian, Gay, Bisexual, Transgender, and Queer Identity, Race, and Ethnicity: Insights for Intervention From a Qualitative Study.

Lesbian, gay, bisexual, transgender, and queer (LGBTQ+) individuals experience a disproportionately higher prevalence of mental health challenges when compared to their heterosexual and cisgender counterparts. Moreover, they exhibit increased engagement with social media platforms relative to their peers. Understanding the intersectional dynamics of their identities is crucial in elucidating effective and safe approaches to garnering social support through social media channels. This exploration holds significance for informing future research endeavors and shaping targeted interventions to address the unique mental health needs of LGBTQ+ individuals. The purpose of this study was to explore the strategies used by Black, Hispanic, and non-Hispanic White LGBTQ+ young adults to acquire social support from social media. The study aimed to examine how these strategies may differ by race and ethnicity. We conducted semistructured interviews with LGBTQ+ young adults aged between 18 and 30 years recruited in the United States from social media. Of 52 participants, 12 (23%) were Black, 12 (23%) were Hispanic, and 28 (54%) were non-Hispanic White. Thematic analysis was used to analyze the collected data. The analysis uncovered both divergent and convergent strategies among participants of different races and ethnicities. Black and Hispanic young adults exhibited a preference for connecting with individuals who shared similar identities, seeking safety and tailored advice. Conversely, non-Hispanic White participants demonstrated minimal preference for identity-based advice. Seeking support from anonymous sources emerged as a strategy to avoid unwanted disclosure among Hispanic participants. Furthermore, all participants emphasized the importance of content filtering with family members to cultivate positive and supportive social media experiences. This study sheds light on the strategies used by LGBTQ+ individuals of different racial and ethnic backgrounds to seek social support from social media platforms. The findings underscore the importance of considering race and ethnicity when examining social support-seeking behaviors on social media in LGBTQ+ populations. The identified strategies provide valuable insights for the development of interventions that aim to leverage social support from social media to benefit the mental health of Black, Hispanic, and non-Hispanic White LGBTQ+ young adults.

Why Haven’t You Texted Me Back? Adolescents’ Digital Entrapment, Friendship Conflict, and Perceived General Health

ABSTRACT Objective Many adolescents feel pressure to be constantly available and responsive to others via their smartphones and social media. This phenomenon has been understudied using quantitative methods, and no prior study has examined adolescents’ specific stress about meeting digital availability expectations within a best friendship, or entrapment. The present study offers an important preliminary examination of this unique digital stressor in a developmental context by examining prospective associations between digital entrapment, psychosocial adjustment, and health in adolescence. Method Students in a rural, lower-income school district in the southeastern US (n = 714; 53.8% female; 45.9% White, 22.7% Black, 24.0% Hispanic/Latino) completed self-report measures of digital entrapment, perceived general health, friendship conflict, and depressive symptoms at two timepoints, one year apart. Results Digital entrapment, which 76.3% of the sample reported experiencing, was associated prospectively with higher levels of friendship conflict and worse perceived general health one year later among boys, but not girls. Findings suggest that digital entrapment is an extremely common experience for adolescents that may disproportionally affect boys. Entrapment was not prospectively associated with depressive symptoms. Conclusions Results offer insight into how boys may have different social media experiences significant to their development and health, while much work exploring gender differences in social media use thus far has elucidated negative effects for girls. Boys may perceive and respond to novel social norms of digital environments differently such that digital entrapment has the potential to be detrimental to their friendships and health.

Utilize the Relationship Between Artificial Intelligence (AI) on Short Video Platforms and Users Self-conception to Guide Marketing Strategies

Artificial intelligence is widely used in social media. When users use social media, AI has a positive or negative impact on users' self-perceptions. 2022 Jeff Hancock's crystal framework theory of algorithms indicates that short video platforms influence users' self-perceptions: know me well, real self, and community. The primary purpose of this study is to establish the relationship between artificial intelligence on social media and users' self-perceptions by drawing on Jeff Hancock's self-concept theory. The relationship between the two can be used to optimize the existing marketing strategy of advertising products on social media and to optimize the experience of social media users while effectively promoting the marketing products positively.

Exploring Cyber Harassment among Youth Who Use Social Media

This is an anthropological research which studies cyber harassment on social media among the young people of University of Dhaka. Cyber harassment is an umbrella term and consists several harassing behaviors. There is no concrete definition of it. In general, it is defined as intentional and repeated behavior that is directed to someone through the digital platforms in order to disturb, harm or scare them. Social media is a digital communication platform which is used most by almost all age group around the world. In our country, young people are the main user of social media platforms. So, this study is very relevant in the context of our country to understand cyber harassment. Anthropological methods and its core theoretical tenets which encourage in-depth study of any issue have provided a good framework to this research. This study uses both qualitative and quantitative methods including ten in-depth interviews and a questionnaire based online survey with fifty informants. The present study observes young user’s perception regarding cyber harassment, the nature of cyber harassment from user’s personal experience in social media. Several factors like technical skills, knowledge regarding social media, gender, capital, social network etc. play a great role in shaping their perception. This study also illuminates young people’s understanding of cyber harassment, reasons behind their mild or severe dichotomy of harassment and activities that are considered as cyber harassment by them. This study also explores the nature and extent of cyber harassment from young people’s personal experience on social media. It also observes user’s awareness on personal security through the safety measures they follow to stay safe and the strategies they take after facing cyber harassment on social media. The whole study has been analyzed using Arjun Appadurai’s Technoscapes theory, Pierre Bourdieu’s theory of capital and symbolic violence. This study concludes with a summary of the whole research, some additional opinion of the participants about this research and the role of anthropologists to work in this issue.