Social Media Content Research Articles

Information quality and students’ academic performance: the mediating roles of perceived usefulness, entertainment and social media usage

PurposeThis study evaluates the mediating roles of entertainment, perceived usefulness, and social media use on social information (content) and students’ academic performance.MethodologyPrimary data was collected from 445 students at King Khalid University in Saudi Arabia using the snowball sampling strategy was employed. For data analysis, structural equation modeling (PLS-SEM) was used.FindingsEntertainment partly mediates the link between social information quality “content” (IQ) and social media use (SMU) and SMU mediates the link between IQ and student’s academic performance (SAP). Perceived usefulness mediates the link between IQ and SAP. Suggesting that entertainment and perceived usefulness are crucially necessary for inspiring social media content to obtain optimum performance among graduate students. The study was limited to a single academic institution. Therefore, the results of the investigation cannot be generalized as a whole, and cannot track respondents’ social media activity over time. Thus, longitudinal data may be used in future investigations. Practical implicationsThe results of this study indicate that faculties can adapt and adjust their teaching methods and activities to incorporate social media, perceived usefulness, and entertaining content since it affects student performance. Social media (SM) has a significant influence on students’ social and academic performance. Thus, educational stakeholders, such as university authorities, the government, and parents and guardians, should recognize social media as a tool for achieving educational objectives.Originality/valueThe study enhances the application of UTAUT2 by examining how factors that influence the adoption of technology are connected to the subsequent influence of that adoption on students’ learning and conduct.

Collectivism-Based Travel Culture as the Antecedents of Travel FOMO And Intention to Travel Responsibly

As collectivists, Indonesians tend to travel with friends and family. The destination is usually inspired by social media content which then will increase fear-of-missing-out anxiety (FOMO) for traveling because it generates travel intention. A previous study claimed that collectivist culture has a strong correlation with FOMO behavior. This research analyzes the role of collectivism-based travel culture as the antecedent of travel FOMO on Indonesian domestic tourists. High travel intention may lead to high profits for tourism businesses, but the sustainability of the natural habitat of the natural tourism destinations is no less important. Tourists must also increase their intention to travel responsibly when visiting natural destinations to protect nature. This study employed an empirical quantitative research method with 340 sample data of Indonesian domestic tourists. The analysis of statistical data analysis is provided from PLS-SEM. This research is limited to collectivist behavioral observation of Indonesian domestic tourists to natural tourism destinations. Future studies can be conducted on different cultural dimensions and tourism market segmentation. The analysis showed that the collectivism-based travel culture of Indonesian tourists had positive influences on both travel FOMO and intention to travel responsibly individually, but will bring damage if combined.

Social media profiling: The influence of personal and professional social media content on hiring ratings

AbstractThis study integrates identity and situational strength theories into a realistic accuracy model framework to develop and test hypotheses regarding how hiring managers perceive social media (SM) information, and how those perceptions translate into ratings. In Study 1, 310 h professionals rated which SM content they perceive as most useful in assessing applicants on various work‐related constructs. The provided a foundation for Study 2, where 151 h professionals participated in an experimental hiring simulation to understand whether these perceptions of SM information translate into rating behavior. Results indicate that manipulating SM content influenced HR professionals’ ratings of applicants. Non‐job‐related SM content influenced ratings of work‐related constructs more strongly than job‐related content. Professional SM was rated more favorably than personal SM.

Social media content analysis for nutraceuticals and glaucoma.

Google and various social media platforms have content on the therapeutic potential of nutritional supplements for glaucoma, but whether that information is evidence-based has not been analyzed. The current study explores such content for its quality. Criteria of search used were "glaucoma" and "vitamins" or "nutraceuticals" or "nutritional supplements". The first 30 search results on Google for every keyword combination were determined. The top 30 video results on Facebook Watch and YouTube for each keyword combination were selected. The initial 30 posts from Reddit and the top 30 Images on Google Images related to the keyword combination were also examined. Sixty-eight websites on Google, 75 Images from Google, 39 YouTube videos, 12 video results from Facebook Watch, and 19 posts from Reddit were identified and assessed for quality.The average Sandvik scores were 10.86 ± 2.6 (Google webpages), 10.08 ± 1.9 (YouTube videos), 10.62 ± 1.6 (Facebook Watch), and 10.26 ± 2.8 (Posts from Reddit). The average Risk Scores were 0.67 ± 0.9 (videos from YouTube), 0.49 ± 0.8 (webpages on Google), 0.33 ± 0.5 (videos from Facebook Watch), and 0.26 ± 0.5 (Reddit). The mean HON code scores were 5.15 ± 1.5 (YouTube), 6 ± 1.7 (Google webpages), 4.42 ± 1.1 (Facebook Watch), and 3.47 ± 1.8 (Reddit). Many patients who seek information online do not consult their physicians to verify the accuracy of their search results. Thus, with this changing trend, video and online medical content analysis has attracted interest. Search engines and social media platforms may serve as adjuncts for patient counseling in current care models by providing an online educational community. Compared to non-healthcare professionals, the healthcare professionals' information regarding nutraceuticals/nutritional supplements in glaucoma is of higher quality. Most HCPs do not recommend the use of dietary supplements as a complementary treatment for glaucoma, either because of inconclusive/insufficient data or due to contrasting studies that contradict each other. However, literature is building up with each passing day, to support nutritional supplementation as an integrative IOP-independent strategy for glaucoma management. The information provided by healthcare professionals is superior to that offered by non-healthcare professionals. Most HCPs advise against the use of nutritional supplements as an adjunct therapy for glaucoma, either because of inconclusive data or due to contrasting studies that contradict each other.

The Influence of Educational Content on the Benefits of Living in Transit Oriented Development Housing on Instagram @lrtcity on Internal Meaning and Consumer Purchase Interest (A Survey of Instagram @lrtcity Followers)

The development of communication media in Indonesia post-COVID-19 pandemic reflects a significant transformation, particularly in the digital media realm. Instagram can be a powerful tool for brand building, enhancing engagement, and achieving communication goals. The campaigns and educational benefits are the core of the social media content from the @lrtcity account, which not only educates the public but also serves as a promotional platform with a softselling approach. Measuring consumer purchase interest is the ultimate goal of the education delivered through Instagram content, as the primary objective is to drive sales of TOD-concept properties represented by the LRT CITY brand. This research employs a quantitative method based on a positivist approach (classic/objective). The results of this study show that there is a strong and significant positive relationship between Instagram content (X) and internal meaning (Y1), with a correlation coefficient of 0.774. The contribution of Instagram content to internal meaning is 59.9%. Additionally, Instagram content (X) also shows a positive and significant influence on consumer purchase interest (Y2), with a correlation coefficient of 0.834. The contribution of Instagram content to consumer purchase interest is 69.5%.

Content analysis of fluoride-related posts on Instagram

BackgroundThe Internet and social media have become many people’s primary sources of health information. Instagram is one of the most popular social media platforms, and users spend a significant amount of time daily on the platform. Therefore, analyzing oral health-related information shared online can help to identify the requirements of specific groups, assisting in the planning and execution of educational public health actions. As a result, this study was carried out to conduct a qualitative evaluation of fluoride-related content on Instagram in 2022–2023.MethodsUsing hashtags associated with fluoride, a search was conducted on the Instagram application in the Persian language. All fluoride-containing posts were saved, and data was collected thrice at two-month intervals. MAXQDA software version 2020 was used to categorize the collected data content based on type, quality, and quantity.ResultsThe qualitative analysis included 1565 (9.45%) posts with fluoride-related content out of 16,475 total posts. After removing the duplicates, 400 posts remained, among which 282 posts (70.5%) and 118 posts (29.5%) were pro- and anti-fluoride, respectively. After qualitative analysis, 270 codes were examined and categorized into three main themes and eight subthemes: “fluoride sources,” “The advantages and disadvantages of fluoride,” and “Invalid beliefs about fluoride.”ConclusionThe frequency of pro-fluoride use was higher than anti-fluoride posts. However, due to the high prevalence of posts containing false information on fluoride toxicity for health, ineffectiveness on caries prevention, and conspiracy theories, there is a need to improve the quality of information on fluoride by providing scientific and unbiased explanations by professionals online or during dental visits and supervising social media content.

State affect and body image effects of body positive social media content within a female chronic illness sample

Body positivity refers to a movement, popularized on social media, that encourages the normalization and acceptance of bodies diverging from sociocultural ideals, specifically within marginalized communities. Previous studies suggest that briefly viewing body positive social media content may lead to increased body satisfaction and positive affect in young women relative to thin-ideal and appearance-neutral content. Diminished body functionality and appearance change due to chronic illness poses a unique challenge to positive body image in young adults living with chronic illness. Typical body positive social media content may not be useful for this community since chronic illnesses are often not outwardly depicted, so the current study aimed to examine the state effects before and after viewing body positive social media content in a sample of young women (N=201) with at least one self-reported chronic illness. Participants (Mage = 29.4, SD = 6.74; 79.2 % white) were randomly assigned to view one of two sets of 10 images: chronic illness body positive and typical body positive. Participants completed a Visual Analogue Scale (VAS) pre- and post-stimuli exposure. Findings from repeated measures ANOVA revealed significant interaction between time and group for negative affect (F(1198) = 4.402, p =.037) and broad conceptualization of beauty (F(1199) = 4.288, p =.040), such that those exposed to the chronic illness stimuli reported a larger reduction in negative affect and an increase in conceptualization of beauty beyond the non-chronically ill ideal post-exposure. Thus, exposure to body positive social media content inclusive of chronic illness may be more useful in stabilizing affect and promoting greater positive body image within the community. These findings highlight the importance of inclusive body positive portrayals in terms of dimensions beyond weight and shape to account for the effects of diminished body functionality.

Classification of domestic violence Persian textual content in social media based on topic modeling and ensemble learning

ObjectiveDue to the importance of monitoring social networks to categorize domestic violence content and extract practical knowledge for conducting preventive interventions, as well as analyzing the extensive Persian textual content related to domestic violence generated in social networks following the COVID-19 pandemic, primarily, this research aims to create the best domestic violence Persian textual content classification model using topic modeling content at first and then combining algorithms using ensemble learning to achieve the best model performance. MethodBy collecting Persian textual data using hashtags related to domestic violence equally and randomly from Telegram, Twitter, and Instagram networks between April 2020 and April 2023, the content were considered for topic modeling using the LDA algorithm. By extracting the probabilities of each topic for each document in our dataset, we considered the topic that had the highest probability to be a label for that document. Following feature extraction from labeled datasets, the Stacking and Voting ensemble learning methods were applied. ResultThe analysis of 337,287 textual data revealed five topics: family crime news, war violence, women's rights, and violent reactions. Also, compared to the voting method, the stacking method performed better with 96.4577 precision, 96.4499 accuracy, 96.4499 recall, and 96.4475 F-score. ConclusionAccording to the study findings, practical knowledge of the extracted topics can assist mental health centers in making preventive decisions. Moreover, the built model has the most efficient performance among the built models for the multi-class classification of DV texts in the Persian language for social media monitoring.

Social Media Content among MSMEs: A Content Analysis

This study provides a thorough content analysis of previous research and scholarly works on social media usage and its content by micro, small, and medium enterprises (MSMEs). Understanding the many viewpoints and insights found in the literature is crucial, given the growing impact of social media on business dynamics. This study intends to uncover recurrent topics, approaches, trends, and knowledge gaps regarding MSMEs' social media content strategy through a comprehensive review and analysis of previous research. The goal of this research is to provide a thorough understanding of the opportunities and problems faced by MSMEs in creating effective social media content by combining and critically analyzing the corpus of existing work. The analysis's conclusions not only synthesize the body of knowledge now available but also guide future studies and provide valuable suggestions for improving MSMEs' social media initiatives.

From likes to luggage: The role of social media content in attracting tourists

The tourism industry has become increasingly information-driven where tourists need reliable information to make their travel decisions. Social media content creators have emerged as prominent figures in disseminating authentic and credible information about tourist destinations worldwide. However, scant attention has been paid to explore the role of social media content in influencing tourist inflows and tourist engagement with tourism-related content on social media. To fill this gap, the present study utilized three social media analytic tools: VidIQ, Tubebuddy, and Social Blade, to collect data pertaining to tourism-related content across six tourist destinations in the Arabian Gulf region. The results indicate that these six tourist destinations collectively attracted 47 million visitors in a single year while garnering 158 million views on YouTube. Our findings indicate that tourists’ consumption of tourism-related content on YouTube directly relates to the number of tourists visiting a destination. In addition, the present study also finds that destination popularity leads to higher number of video views on YouTube as well as higher numbers of tourists to the destination. Furthermore, the current study delineates the role of content creator characteristics in influencing user engagement with tourism-related content. The present study offers valuable insights for destination management organizations, tourism operators, tourism industry stakeholders, content creators, social media marketing managers and destination brand managers.

Digital family bonds are strengthened through effective communication dynamics on YouTube in Indonesia

General Background: Family communication plays a critical role in maintaining healthy relationships among family members, promoting openness, support, and understanding. Effective communication strengthens family bonds, especially during shared moments such as gatherings. Specific Background: Fadil Jaidi's YouTube channel provides an intriguing case study of family communication, showcasing how members interact and resolve issues. These video interactions offer valuable insights into the dynamics of family communication, particularly in the digital age. Knowledge Gap: Despite the extensive focus on communication in family studies, few have explored how family interactions are represented in social media content, especially YouTube channels, where family moments are broadcast to the public. The role of these platforms in influencing family communication patterns remains underexplored. Aims: This study aims to describe and explain the family communication patterns that occur on Fadil Jaidi's YouTube channel, focusing on openness, support, empathy, positiveness, and equality through content analysis. Results: A qualitative content analysis of five selected videos revealed that family communication on Fadil Jaidi’s channel runs smoothly. The interactions were characterized by 24 scenes: 8 scenes showing openness, 5 scenes of support, 2 scenes of empathy, 6 scenes of positiveness, and 3 scenes of equality. These categories were identified using thematic and syntactic analysis. Novelty: This study is among the first to analyze family communication within a public YouTube context, applying Eriyanto's content analysis framework. It highlights how online platforms can both reflect and influence real-life family dynamics. Implications: The findings suggest that public displays of family communication on social media platforms, like YouTube, can serve as examples for fostering positive interactions in real-life family settings. This research contributes to the understanding of how digital platforms can be used to promote healthy communication in family contexts. Highlights: Family communication on YouTube shows openness, support, empathy, positiveness, equality. Fadil Jaidi’s videos highlight effective family interactions in everyday scenarios. The study reveals digital platforms’ role in shaping family communication dynamics. Keywords: family communication, YouTube analysis, content analysis, social media, qualitative research

Does Social Media Content Quality and Engagement Influence Consumer Satisfaction in the Apparel Industry?

This study examines the influence of social media marketing on consumer satisfaction in the apparel industry, with a focus on key factors such as engagement and content quality. The rapid growth of social media has reshaped the way consumers interact with brands, making it essential to understand how these platforms influence consumer behavior. The research problem centers on determining the impact of social media engagement and the quality of social media content on consumer satisfaction. The study aims to explore these relationships and provide insights into effective social media marketing strategies for apparel brands. Using a descriptive research design, the study was conducted in Coimbatore district with a sample size of 139 respondents identified through convenience sampling. Data was collected using structured questionnaires, and relevant statistical tools, including ANOVA, Correlation Analysis, and Multiple Linear Regression, were used to analyze the data. The findings reveal that frequent interaction with brands and engaging visual content are key drivers of consumer satisfaction. Findings of the study reveals that social media marketing plays a crucial role in shaping consumer behavior in the apparel industry, and brands must refine their strategies to meet consumer needs and enhance satisfaction through consistent, high-quality content.

Keep the Influencers! Exploring How Sacrifice Enhances “Creator Self-Identity” and Providing Practical Recommendations by the Marketing Mix: An Exploratory Study

This study aims to assist social media platforms that rely on user-generated content in identifying effective strategies to motivate and retain high-quality influencers (content creators). The authors employed “participant observation” and “semi-structured in-depth interviews.” Firstly, the primary author engaged in self-media management for nearly 7 years, experiencing and exploring various aspects of influencers’ live as a content creator. Through detailed note-taking and documentation, valuable insider perspectives were provided. Secondly, preliminary interviews with 10 content creators who met the study’s criteria were conducted, and five most representative influencers were selected for further “semi-structured in-depth interviews,” which were recorded and videotaped. The authors compiled all research data, coded it, and analyzed it using “thematic analysis.” The study found that “creator self-identity” constructed during social media content creation helps influencers (content creators) overcome challenges and sustain their efforts. Three methods to strengthen “creator self-identity” were identified: (1) sacrifice, (2) sense-making positive feedback, and (3) identity community interaction. The theoretical contribution of this study lies in the perspective that “moderate self-sacrifice can, in turn, reinforce creators’ self-identity,” enriching existing literature. In terms of practical contributions, the study applied the “marketing mix (6P)” framework with the findings to provide systematic, applicable recommendations for social media platform managers. Finally, the study’s originality and deep insider perspective on the influencer community make it a noteworthy and significant contribution to the field.

MODEL OPTIMALISASI CUSTOMER RELATIONSHIP MANAGEMENT DALAM MENINGKATKAN UNIT ENTRY

This project aims to increase the number of unit entries at OtoXpert Karawang operated by Auto2000 through the optimization of the Customer Relationship Management (CRM) model. The method used in this project is applied research with a qualitative and quantitative approach. Data were collected through interviews, observations, and analysis of relevant documents. The project results show that the implementation of the optimized CRM model can increase the number of inquiries, boost the number of customers making bookings, and optimize the digital marketing process. Strategies such as the use of digital advertising (Meta Ads), optimization of social media content, and the implementation of Flow Charts and SOPs for booking conversion and post-service follow-up, have significantly increased the number of unit entries at OtoXpert Karawang. The conclusion of this project is that the optimization of the CRM model implemented at OtoXpert Karawang successfully enhances the performance of customer relations contributions to unit entry. Recommendations are provided to continuously improve and develop CRM strategies to achieve more optimal results in the future.

S2196 The Truth on Twitter and TikTok: An Analysis of the Quality of Social Media Content Across Platforms

S2196 The Truth on Twitter and TikTok: An Analysis of the Quality of Social Media Content Across Platforms

Living on a Picture: Approaching Images and Life Stories in Social Media

If images were once conceived either as subordination or oppositions of words, the advent of the Internet has started new relationship dynamics between them. Within this digital scenario, vision and textuality intensely intertwine in the form of captions, posts, hyperlinks or other kind of social media content, daily handled by users. In this context, autobiographical narratives will take on a major role, shaping the way in which the subject conceives, forges and registers his or her identity in relation to the reader/viewer. This article aims to address the question, more present than ever, of how certain autobiographical narratives are disseminated through social networks, and how image and narrative dialogue within this framework. By addressing specific cases found on platforms such as Instagram, we will try to elucidate how these publications point to an ambivalent relationship with visual tropes or narratives associated with certain life experiences, either questioning it or contributing to the creation of a collective narrative. A complex interplay of image and narrative that will affect not only how we share life, but also how we understand it and construct it together with others in a changing world.

RELIGIOUS TOLERANCE IN BANDA ACEH AND KEDIRI: CHALLENGES AND OPPORTUNITIES IN DIGITAL SPACE

This research explores religious tolerance in Banda Aceh and Kediri within the context of digital space, focusing on the genealogy, contestation, and development directions of religious tolerance. The aim is to understand the social and cultural dynamics shaping patterns of religious tolerance in these regions and how digital spaces influence interfaith interactions. The methodology employed is a qualitative approach with case study methods, including in-depth interviews, social media content analysis, and participatory observation. The genealogy reveals fundamental differences between Banda Aceh, which exhibits a tolerance pattern influenced by Sharia law and strict norms, and Kediri, which is more inclusive due to its multicultural interactions. In digital spaces, religious contestation reflects tensions between conservative and progressive groups; Banda Aceh tends to uphold traditional values, while Kediri is more open to interfaith dialogue. The findings indicate that digital spaces have significant potential for fostering religious tolerance, though they are also vulnerable to hate speech and polarization. The future of religious tolerance in both regions will heavily depend on how communities and governments manage digital interactions, as well as educational efforts and policies that promote dialogue and interfaith understanding.

Understanding the Role of Communication Ethics in the Flexing Phenomenon on Social Media

In recent years, the phenomenon of flexing on social media has gained significant attention, particularly in the context of communication ethics. Flexing, which involves showcasing luxury, achievements, or expensive possessions to gain recognition, has become prevalent among social media users. This study aims to analyze flexing activities from the perspective of communication ethics, highlighting how ethical considerations can influence the impact of flexing. Using a qualitative approach, this research involved 8 informants who actively engage in flexing on social media. Data were collected through observations of social media content and in-depth interviews with the informants. The findings reveal that flexing serves as a means of self-expression, interaction, and identity formation. Flexing actors utilize various forms of language, such as casual, informative, and professional, to convey their messages and engage with their audience. The study also identifies the motives behind flexing, including personal satisfaction, recognition, inspiration, and self-image building. Despite the potential negative aspects of flexing, such as social comparison and low self-esteem, the research suggests that adherence to communication ethics can mitigate these issues. The results of this study are expected to contribute to digital literacy, promoting ethical communication practices on social media and serving as a reference for policy-making related to social media usage in Indonesia. Through this research, we aim to provide a deeper understanding of the flexing phenomenon and its ethical implications, fostering a more respectful and positive online environment. Keywords: Flexing, communication ethics, social media, qualitative research, influence impact.

Analyzing the impact of investor sentiment on S&P 500 prices using deep learning models

Purpose This study aims to investigate to what extent the predictability of the standard and poor’s 500 (S&P 500) price levels is enhanced by investors’ sentiments extracted from social media content, specifically platform X. Design/methodology/approach Two recurrent neural network (RNN) models are developed. The first RNN model is merely based on historical records and technical indicators. In addition to the variables included in the first RNN model, the second RNN model comprises the outputs of the sentiment analysis, performed using the TextBlob library. The study was conducted between December 28, 2011, and December 30, 2021, over 10 years, to obtain better results by feeding the RNN models with a significant quantity of data by extending the period and capturing an extensive timespan. Findings Comparing the performance of both models reveals that the second model, with sentiment analysis inputs, yields superior outcomes. The mean absolute error (MAE) of the second model registered 72.44, approximately 50% lower than the MAE of the technical model, its percentage value, the mean absolute percentage error, recorded 2.16%, and finally, the median absolute percentage error reached a value of 1.30%. This underscores the significant influence of digital platforms in influencing the behavior of certain assets like the S&P 500, emphasizing the relevance of sentiment analysis from social media in financial forecasting. Originality/value This study contributes to the growing body of literature by highlighting the enhanced predictive power of deep learning models that incorporate investor sentiment from social media, thereby advancing the application of behavioral finance in financial forecasting.

Exploring Large Language Models for Detecting Online Vaccine Reactions.

Social media offers a rich source of real-time health data, including potential vaccine reactions. However, extracting meaningful insights is challenging due to the noisy nature of social media content. This paper explores using large language models (LLMs) and prompt engineering to detect personal mentions of vaccine reactions. Different prompting strategies were evaluated on two LLM models (GPT-3.5 and GPT-4) using Reddit data focused on shingles (zoster) vaccines. Zero-shot and few-shot learning approaches with both standard and chain-of-thought prompts were compared. The findings demonstrate that GPT-based models with carefully crafted chain-of-thought prompts could identify the relevant social media posts. Few-shot learning helped GPT4 models to identify more of the marginal cases, although less precisely. The use of LLMs for classification with lightweight supervised pretrained language models (PLMs) found that PLMs outperform LLMs. However, a potential benefit in using LLMs to help identify records for training PLMs was revealed, especially to eliminate false negatives, and LLMs could be used as classifiers when insufficient data exists to train a PLM.