Social Media Content Research Articles

Peran Jampala dalam Meningkatkan Karakter Islami melalui Optimalisasi Media Sosial Followers Instagram @hwlamongan di Kwarda Hizbul Wathan Lamongan

This study explores the role of Jambore Prestasi Penghela (Jampala) Kwartir Daerah (Kwarda) Hizbul Wathan (HW) Lamongan in increasing engagement and the number of followers of the Instagram account @hwlamongan. Using a qualitative approach through in-depth interviews and observations, this study found that a planned social media management strategy and the use of attractive visual content during Jampala activities significantly increased user interaction and growth in the number of followers. The findings show that peak moments of the event and active participation of participants in social media content are key factors in the spike in engagement. Although challenges in maintaining engagement remain, these results emphasize the importance of activities such as Jampala as an effective digital promotional tool for scouting organizations.

Advancing sentiment classification through a population game model approach

Computational Sentiment Analysis involves the automation of human emotion comprehension by categorizing sentiments as positive, negative, or neutral. In the contemporary digital environment, the extensive volume of social media content presents significant challenges for manual analysis, thereby necessitating the development and implementation of automated analytical tools. To address the limitations of existing techniques, which heavily rely on machine learning and extensive dataset pre-training, we propose an innovative unsupervised approach for sentiment classification. This novel methodology is grounded in game theory concepts, particularly the population game model, offering a promising solution by circumventing the need for extensive training procedures. We extract two textual features from review comments, namely context score and emotion score. Leveraging lexicon databases and numeric scores, this cognitive mathematical framework is language-independent. Competitive results are demonstrated across various domains (hotels, restaurants, electronic devices, etc.), and the efficacy of the proposed work is validated in two languages (English and Hindi). The highest accuracy recorded for the English domain dataset is 89%, while electronic Hindi reviews attain an 84% accuracy rate. The proposed model exhibits domain and language independence, validated through statistical analyses confirming the significance of the findings. The framework demonstrates noteworthy rationality and coherence in its outcomes.

Evaluating Operation Good Food & Beverages, a Black Youth-Driven Public Advocacy Campaign.

Food and beverage (F&B) marketing practices that contradict health guidelines are particularly concerning for children and adolescents, who are developmentally more susceptible than adults to persuasive advertising and to Black communities, due to ethnically-targeted marketing, contributing to higher rates of obesity and other diet-related chronic diseases. Accordingly, here we evaluated Operation Good Food and Beverages (OGF&B), an online social marketing campaign calling for shifting toward more marketing of healthier F&B to Black youth and Black communities. OGF&B was developed and implemented by a multidisciplinary team of academic, advocacy, and advertising partners and active for four months in 2022 during the COVID-19 pandemic. Primary campaign components were social media content (e.g., TikTok, Instagram), and an informational website with a signable petition and a social media toolkit. Our mixed-methods evaluation used qualitative data to contextualize quantitative metrics like online impressions, website visits, and petition signatures. Qualitative data consisted of analysis of social media content and thematic elements from 15 interviews with campaign advisors, youth consultants, and influencers. The campaign achieved 3,148,869 impressions, 3,799 unique website visits, and 1,077 petition signatures. Instagram Reels and content featuring people had higher engagement. Instagram Reels received more likes than static posts or TikTok videos. Interviewees who participated mentioned personal values and community welfare as key motivations. Social media influencers who declined participation noted time constraints and lack of compensation as barriers. Despite pandemic-related restrictions that precluded in-person engagement, this brief campaign implementation period provided useful insights for leveraging OGF&B or similar campaigns.

Digital Publik Relation KEMENSOS dalam Pemanfataan Sosial Media

In the rapidly developing digital era, social media has become a highly effective communication tool for various organizations, including government institutions. This study aims to analyze the digital public relations (PR) strategies of the Indonesian Ministry of Social Affairs (Kemensos) in utilizing social media, as well as to evaluate the effectiveness and challenges faced. This research employs a qualitative method with a case study approach. Data were collected through content analysis of Kemensos' social media, in-depth interviews with Kemensos officials and digital communication experts, and online surveys of the public to evaluate their perceptions and engagement with Kemensos' social media content. The results show that Kemensos implements various digital PR strategies to increase public awareness and participation in social programs. The published content includes information on social programs, education, and important announcements, presented in various formats such as text, images, and videos. However, Kemensos faces several challenges, such as crisis management and reputation management on social media.This study finds that Kemensos' use of social media significantly influences the public's image and trust in the institution. The level of public engagement with Kemensos' content is also quite high, indicating the effectiveness of the implemented digital communication strategies. However, there is a need to improve responsiveness and crisis management in dealing with issues that arise on social media. Based on these findings, this study provides practical recommendations for Kemensos to enhance their digital PR strategies, including improving content quality, better crisis management, and increasing public engagement. This research also contributes to the development of digital public relations strategies in other government institutions, providing insights for academics and communication practitioners.

Peran Media Sosial dalam Mengedukasi Masyarakat Tentang Zakat: Studi Kasus Basnaz SUMUT

This research aims to investigate the role of social media in educating and disseminating information to the public about zakat, by taking the North Sumatra National Zakat Amil Agency (BASNAZ) case study. As the institution responsible for collecting and distributing zakat in the region, BASNAZ has an important role in increasing public awareness and understanding of zakat. Social media has become an important communication channel for BASNAZ to reach a wider audience and strengthen community participation in zakat activities. This research method involves a qualitative approach, by collecting data through interviews with North Sumatra BASNAZ management, observation of their social media content, and analysis of related documents. The data was then analyzed thematically to identify the strategies and best practices used by BASNAZ in using social media for educational purposes about zakat. The research results show that social media has become an effective instrument for BASNAZ North Sumatra in educating the public about zakat. Through platforms such as Facebook, Instagram and Twitter, BASNAZ can convey relevant information about zakat obligations, lessons learned, as well as how to manage and distribute zakat in a way that is easy for the public to understand. In addition, the two-way interaction between BASNAZ and social media users allows for a deeper dialogue on zakat-related issues. However, challenges also arise, including problems with the authenticity of information, limited accessibility for people who do not have internet access, and competition with other content on social media. Therefore, this research also identifies several recommendations to increase the effectiveness of the use of social media in educating the public about zakat, including increasing collaboration with local influencers, developing engaging content, and increasing the use of text-based platforms to reach underserved communities online. The findings of this research have practical implications for BASNAZ and similar organizations in improving their communication strategies through social media, as well as for researchers and practitioners in the fields of marketing communications and zakat education. Apart from that, this research also contributes to the understanding of the role of social media in supporting philanthropic and charitable activities in the digital era.

Motion Graphic Sebagai Media Promosi SMK Telkom 1 Medan Sumatera Utara

The development of information and communication technology (ICT) has brought significant changes in various aspects of life, including in the world of education. Telkom 1 Medan Vocational School, as one of the leading vocational schools in the city of Medan, needs to formulate appropriate promotional strategies to attract the interest of prospective students in the digital era. This research aims to identify appropriate social media content visualizations to attract prospective students at Telkom 1 Medan Vocational School, especially in the city of Medan. This research uses qualitative research methods with a descriptive approach. Data was collected through observation of Telkom Medan Vocational School's social media, in-depth interviews with prospective students, visual analysis of social media content at other vocational schools, and focus group discussions with social media and education experts. The data analysis techniques used are content analysis and thematic analysis. The research results show that the right visualization of social media content to attract prospective Telkom Medan Vocational School students in the city of Medan must have several characteristics, namely Informative, Interesting, Interactive, Relevant and Building a positive image. Visualization of social media content made capable effective promotional strategy to attract prospective students at SMK Telkom 1 Medan in the digital era.

Images of the Present and Possible: Analyzing the Climate Movement Through Its Utopias

The article analyzes utopian thinking within the current climate movement, with a particular focus on the Finnish movement, and develops analysis of contemporary society through utopias. Empirically, it is based on material collected in the context of a protest week called ‘Utopia rebellion’, in Helsinki in 2022. We use material such as statements, blog posts, and social media content produced by climate activists, as they aimed to form an idea of utopian society beyond their demands on climate policy. We argue that in order to understand any utopian vision properly, one needs to understand not only how it conceptualizes the ideal society, but also how it (implicitly) interprets the nature and problems of the existing one, and the function of utopias. From this starting point, we develop an analysis of the movement by looking at its utopias, conceptions of the present, and uses of utopias. In the image of the movement formed this way, the key components emerging from the analyses are related to redefinitions of work, reconnecting with one’s community, and the possibilities of identities to flourish.

A review of black-box adversarial attacks and defenses in machine learning-based malware detection

In recent years, significant advancements have been made in cyber security, particularly through the application of machine learning (ML) methods. ML-based techniques have enhanced system security by effectively distinguishing between malicious and benign objects across various domains, including spam email detection, social media content filtering, intrusion detection systems, and malware detection. This paper focuses on the specific area of ML-based malware detection and its advantages over traditional methods, such as improved accuracy and the ability to generalize to unknown threats. Despite these advancements, ML-based malware detection systems are vulnerable to adversarial attacks, especially in black-box scenarios where the internal workings of the detection model are not accessible. This paper provides a comprehensive review of adversarial attacks on black-box malware detection systems and examines the current defense mechanisms against these attacks. Understanding the challenges and strategies in this field, this review aims to offer insights into enhancing the robustness and security of ML-based malware detection systems.

Strategi Personal Branding Konten Kreator Melalui Media Sosial Tikok

In this digital era, social media, especially TikTok, has become a favored medium among the Indonesian public. TikTok has emerged as one of the social media platforms with a broad reach for sharing various types of information. Many TikTok users have become content creators, utilizing TikTok to disseminate their content. This study aims to determine the communication strategies of film review content creators to build personal branding and secure collaborations with production houses. This research employs qualitative methods and a case study approach. The case study approach is used to provide an in-depth description of how the creator @adhehdyt manages and develops strategies related to personal branding through data collected via interviews, social media content analysis, and the collection of the creator’s documentation.. Keywords: Personal Branding, Tiktok, @adhehdyt, Social Media,Communication

THE ROLE OF SOCIAL MEDIA IN INCREASING RURAL GENERATION Z PARTICIPATION IN THE 2024 ELECTIONS : A STUDY IN SUNGAI ANA VILLAGE, SINTANG DISTRICT

This research investigates the role of social media in increasing the political participation of Generation Z in rural areas, especially Sungai Ana Village, Sintang District during the 2024 General Election. Using a mixed methods approach, this research combines a literature review, survey, in-depth interviews, social media content analysis, and observation participatory to collect comprehensive data. These findings reveal that social media platforms such as Instagram, TikTok, and WhatsApp are very important for increasing political awareness among Generation Z users in Sungai Ana Village, Sintang District. About 91% of respondents rely on social media as their main source of political information, and admit that these platforms help them better understand political issues and candidates. These findings highlight the need for increased media literacy and critical thinking skills to combat the spread of fake news. The study concludes with recommendations for policymakers and stakeholders, emphasizing the importance of improving internet infrastructure in rural areas, promoting educational campaigns on media literacy, and fostering collaboration between governments, educational institutions, and social media platforms to develop effective political education initiatives. By overcoming these challenges and harnessing the potential of social media, Generation Z's political engagement in rural areas, especially in Sungai Ana Village, can be significantly increased, resulting in more active and informed participation in the democratic process

Contrasting Realities: Italian Advertisements and Non-Sexist Linguistic and Social Norms

This research aims to scrutinise whether sexism is confined solely to the Italian advertising domain or extends into the language employed by the general populace and the broader cultural fabric of society. In Italy, despite numerous efforts made over the past decades to eradicate sexism in advertising campaigns, marketers frequently resort to its various manifestations, deeming it a powerful tool for attracting potential consumers. The prevalent utilisation of the female image in a sexist manner, portraying women as objects of desire, remains commonplace. Surprisingly, even renowned influencers aligned with the radical feminist movement often incorporate such tactics in their social media content. Sexism manifests through two principal avenues: firstly, the erotic portrayal of women’s bodies and/or their sensual behaviours, frequently coupled with language expressions encompassing with dual meanings; secondly, the perpetuation and reinforcement of stereotypical gender roles. While the latter has largely diminished in the contemporary era, the former persists prominently. This case study research employs a qualitative analysis approach. Various data sources, including legal documents, historical records, and contemporary media, are critically analysed. The findings suggest that, despite the societal and linguistic rejection of sexism in contemporary Italy, where gender equality prevails across social, economic, and legal realms, the advertising industry continues to rely on such practices heavily.

YouTube Video Clips on Breastfeeding Education and Promotion for Arabic-Speaking Populations: A Social Media Content Analysis.

Background/Objective: Although the benefits of breastfeeding are well-documented and widely recognized, reports indicate that optimal breastfeeding rates are low in Arabic-speaking countries. This is a significant concern given the health benefits associated with breastfeeding for both infants and mothers. Previous research has shown that education interventions can increase breastfeeding knowledge, attitudes, and practices in Arabic-speaking populations. The social media platform YouTube holds significant potential for distributing customized health education for diverse audiences; specifically, this platform has the potential to empower mothers and normalize long-term breastfeeding. The aim of this study was to evaluate the quality of YouTube videos on breastfeeding available in the Arabic language. Methods: We used standard procedures to search YouTube for Arabic breastfeeding videos posted on YouTube in December 2023. Videos were evaluated using the three scales of the DISCERN quality evaluation instrument (reliability, information quality, video quality) and total score. Comparative statistics were generated. Results: In total, 165 videos met the inclusion criteria, with 29.7% in the Education category; 43.6% were in Egyptian Arabic dialect. Almost all (91.75%) of the educational videos had a "medium" quality assessment. Educational videos and those using health professionals had higher quality assessments than those in other categories or done with other speakers. Conclusion: The results of this review suggest that most content on the topic of breastfeeding was of only medium reliability and informational quality. New mothers seeking breastfeeding information or support may be in need of specific problem-solving information at a time when they are living with the often-difficulty reality of caring for a newborn or very young infant. There is a clear need for accurate, culturally congruent information to effectively support breastfeeding in Arabic-speaking countries. Future efforts should focus on improving the quality of online health education content, with implications for public health strategies and policy development.

Shades of presence in post-2011 Tunisia: evolving political positions in feminist and queer activism

ABSTRACT This article rethinks the concept of presence in feminist theory through the empirical study of Tunisian feminist and queer movements after the 2010–11 revolution. Over the past decade, these movements have displayed various forms of mobilisation, revealing different shades of presence/absence. Some strategies focused on gaining visibility within institutions and physical public spaces, while others showed new forms of disembodied, digitally mediated presence/absence. With the recent rise of cyber-authoritarianism, a re-calibration of positions of presence/absence have enriched our understanding of presence. Building on interviews and social media content analysis from 2017 to 2023, the article challenges the widespread notion that physical presence equates to empowerment and absence to disempowerment. It argues that presence and absence are political positions within a spectrum of contention, influenced by political opportunities, and calls for the recognition of multiple, disembodied and hybrid forms of presence/absence.

The Impact of Social Media Content Quality on Brand Awareness and Purchase Intention for OCOP Products among Consumers in Ho Chi Minh City

The Impact of Social Media Content Quality on Brand Awareness and Purchase Intention for OCOP Products among Consumers in Ho Chi Minh City

Exploring the Role of Social Media @asysyirkah.id in Promoting Sharia Investment among Millennial Investors: A Case Study of Asysyirkah Sharia Cooperative

This research aims to explore the role of social media, particularly the @asysyirkah.id account, in promoting Islamic investment among millennial investors, with a focus on Asy-Syirkah Islamic Cooperative. Using a qualitative approach with a case study design, this research analyses how @asysyirkah.id leverages social media platforms to increase awareness, understanding, and participation in Islamic investment. Data were collected through in-depth interviews with the co-operative's social media manager, observation of social media content, and focus group discussions with co-operative members. Data analysis techniques used thematic analysis techniques. Data validity techniques used triangulation, member checking, and audit trail. The results of this study show that social media is a very effective tool for promoting sharia investment among millennials. The role of @asysyirkah.id media can increase engagement, education, and participation in sharia investment while overcoming existing challenges in content management and interaction

Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation Study.

Manually analyzing public health-related content from social media provides valuable insights into the beliefs, attitudes, and behaviors of individuals, shedding light on trends and patterns that can inform public understanding, policy decisions, targeted interventions, and communication strategies. Unfortunately, the time and effort needed from well-trained human subject matter experts makes extensive manual social media listening unfeasible. Generative large language models (LLMs) can potentially summarize and interpret large amounts of text, but it is unclear to what extent LLMs can glean subtle health-related meanings in large sets of social media posts and reasonably report health-related themes. We aimed to assess the feasibility of using LLMs for topic model selection or inductive thematic analysis of large contents of social media posts by attempting to answer the following question: Can LLMs conduct topic model selection and inductive thematic analysis as effectively as humans did in a prior manual study, or at least reasonably, as judged by subject matter experts? We asked the same research question and used the same set of social media content for both the LLM selection of relevant topics and the LLM analysis of themes as was conducted manually in a published study about vaccine rhetoric. We used the results from that study as background for this LLM experiment by comparing the results from the prior manual human analyses with the analyses from 3 LLMs: GPT4-32K, Claude-instant-100K, and Claude-2-100K. We also assessed if multiple LLMs had equivalent ability and assessed the consistency of repeated analysis from each LLM. The LLMs generally gave high rankings to the topics chosen previously by humans as most relevant. We reject a null hypothesis (P<.001, overall comparison) and conclude that these LLMs are more likely to include the human-rated top 5 content areas in their top rankings than would occur by chance. Regarding theme identification, LLMs identified several themes similar to those identified by humans, with very low hallucination rates. Variability occurred between LLMs and between test runs of an individual LLM. Despite not consistently matching the human-generated themes, subject matter experts found themes generated by the LLMs were still reasonable and relevant. LLMs can effectively and efficiently process large social media-based health-related data sets. LLMs can extract themes from such data that human subject matter experts deem reasonable. However, we were unable to show that the LLMs we tested can replicate the depth of analysis from human subject matter experts by consistently extracting the same themes from the same data. There is vast potential, once better validated, for automated LLM-based real-time social listening for common and rare health conditions, informing public health understanding of the public's interests and concerns and determining the public's ideas to address them.

Influence of Word of Mouth and Social Media Content on Livestock Purchasing Decisions Among Millennials and Gen Z in Palembang

Influence of Word of Mouth and Social Media Content on Livestock Purchasing Decisions Among Millennials and Gen Z in Palembang

Visuality peaks, function lasts: an empirical investigation into the performance of iconic architecture on Instagram

PurposeThe purpose of this paper is twofold: first, to propose a methodology to empirically investigate the longitudinal development of social media content concerning buildings characterized by iconic architecture and second, to report on the application of this methodology.Design/methodology/approachWe collected and analyzed empirical data of social media content shared via Instagram between 2011 and 2019 on 16 buildings that can be considered iconic architecture projects. Using an automated pipeline, we collected and processed 264,000 posts and 140,000 images from Instagram for the selected case studies. By studying the posting activity of Instagram users through time series analysis and conducting content analysis of the social media posts by means of both image classification and topic modeling, we report on the development of users’ capturing and reception of the selected case studies on Instagram over time.FindingsFirst, we identify two distinct time patterns of social media content: instantly popular buildings whose popularity fades over time and buildings that gradually gain popularity over time. Second, we distinguish differences in the content of social media posts: some buildings are primarily covered for their architectural features and others for their cultural function and facilities.Originality/valueUsing empirical investigation of Instagram data on iconic architectural projects, we have identified a correlation: buildings primarily posted for their architecture are generally also the ones to gain instant online popularity that subsequently faded over time. In contrast, buildings primarily posted for their function and facilities slowly gained popularity on the social media platform over time.

Impact of Social Media on Cultural Identity in Urban Youth

Purpose: The aim of the study was to assess the impact of social media on cultural identity in urban youth. Materials and Methods: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Social media platforms serve as significant spaces where urban youth engage, express, and negotiate their cultural identities. These platforms provide access to a diverse range of cultural expressions, facilitating the blending and reshaping of traditional and modern cultural elements. Studies have shown that social media influences urban youth by offering a sense of community and belonging, where they can connect with like-minded peers globally, thus fostering a globalized cultural perspective. However, this exposure also poses challenges, such as cultural homogenization and the potential loss of distinct local cultural identities. Additionally, the curated nature of social media content often promotes idealized cultural norms, influencing youth to conform to certain stereotypes and societal expectations. Despite these challenges, social media remains a powerful tool for cultural expression and identity formation, enabling urban youth to navigate and redefine their cultural landscapes in dynamic and innovative ways. Implications to Theory, Practice and Policy: Social identity theory, uses and gratifications theory and cultural convergence theory may be used to anchor future studies on assessing the impact of social media on cultural identity in urban youth. Practically, there is a pressing need for digital literacy programs that educate youth on critical engagement with social media. From a policy perspective, integrating cultural education into school curricula is essential.

COVID-19 vaccine hesitancy: Meaning relations between responses in an epidemiological study and twitter messages

BackgroundVaccine hesitancy is a concerning public health issue, further amplified during the COVID-19 pandemic. Social media is an important player in this context, promoting the dissemination of both information and misinformation. Qualitative studies analyzing the meaning of social media contents in correlation with epidemiological data are scarce, and could aid our understanding of social media's impact on vaccine hesitancy. MethodsIn this study, we identified open-ended responses on reasons to refuse the COVID-19 vaccine collected in an epidemiologic study, and analyzed meaning relations with Twitter posts according to theme categories using a qualitative approach. ResultsAmong responses to open-ended questions on motivations for refusing the COVID-19 vaccine, we identified and analyzed five theme categories: 1. individuality; 2. fear of adverse events/distrust in vaccine safety; 3. political ideologies/aversion to recommendations issued by the State; 4. skepticism about vaccine efficacy; and 5. refusal of non-natural products or interventions. We observed a close correspondence between open-ended responses in the epidemiological study and Twitter posts in all 5 theme categories. The highest outreach of Twitter posts was observed for those in the “individuality” and “fear of adverse the events/distrust in vaccine safety” theme categories. ConclusionsOur study suggests that social media interactions can perpetuate misinformation and hesitant attitudes about vaccines. Social media algorithms can intensify ideologic isolation, and strategies to promote the dissemination of tailored health information among social media users should be implemented to promote an overall understanding of health, particularly those concerning the collective wellbeing.