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Intensive social media use has become an ingrained phenomenon in the daily lives of college students. Technological developments and high accessibility to digital platforms cause students to spend a significant amount of time interacting virtually. This condition has various psychological implications, one of which is increased anxiety levels. This study aims to determine the relationship between the intensity of social media use and anxiety levels in college students. The method used was a quantitative approach with a correlational design through a survey distributed to a number of student respondents from various study programs. The research instruments included a questionnaire regarding the frequency of social media use and a validated anxiety scale. The results showed a significant relationship between the intensity of social media use and students' anxiety levels. The higher the frequency of social media use, the greater the tendency for students to experience anxiety. Several factors that trigger anxiety include social comparison with other users, the need for validation through the number of "likes" and comments, and the pressure to project an ideal self-image online. Furthermore, most students expressed feelings of anxiety or restlessness when not accessing social media for a certain period of time, indicating psychological dependence. These findings indicate that social media has a significant influence on students' psychological conditions, particularly in triggering anxiety. Therefore, it is crucial for higher education institutions, educators, and parents to provide education on healthy and balanced social media use. Preventive and promotive interventions to support student mental health are essential to mitigate the negative impacts of social media and foster wiser digital behavior in today's technological era.

This study aims to identify the forms of implicature and language styles employed by netizens when commenting on the TikTok account @owner daviena skincare. Using a qualitative descriptive method with a pragmatic approach, this research explores the linguistic phenomena occurring in the comment section of selected posts. Data collection techniques include non-participant observation, attentive listening, note-taking, and documentation. The theoretical framework is based on the concept of implicature, which covers both conventional and non-conventional implicatures. The findings reveal that the comment section displays a variety of implicatures, with the dominant purposes being to offer advice, deliver criticism, and express support toward the content creator. Conventional implicatures appear when the meaning conveyed is closely tied to specific linguistic expressions, while non-conventional implicatures are identified in cases where the intended meaning relies on contextual interpretation. In terms of language style, the majority of comments utilize informal and conversational expressions, characterized by colloquial vocabulary, slang, and abbreviations that are common in online interactions. The analysis also highlights that the interplay between implicature and informal language style reflects the spontaneous and dynamic nature of digital communication on social media. Such interactions not only serve as a platform for engagement but also illustrate how language is adapted to suit the immediacy and brevity of online discourse. The study concludes that understanding implicature in social media contexts is essential for interpreting the underlying meanings beyond the literal content of user comments. Furthermore, the predominance of informal styles demonstrates the influence of digital culture on contemporary language use, particularly among netizens engaged in beauty and skincare communities.

Technological advancements have brought fundamental changes in the way we interact with digital images and photography. One significant milestone in this development is the Photoshop Express Photo Editor, which has become a primary platform for image processing and editing. Datasets are used to analyze sentiment and are utilized during the accuracy testing phase. Based on the testing results, the Convolutional Neural Network (CNN) algorithm achieved an average accuracy value of 86.50%, compared to the Naïve Bayes (NB) algorithm, which achieved an average accuracy value of 75%. The results of the research conclude that the choice of sentiment analysis method should be tailored to the needs and limitations of the system. If a fast, light, and easy-to-understand process is required, the Naive Bayes method is the right choice. However, if accuracy and context understanding are the top priorities, then CNN is a superior approach, although it requires more resources. Additionally, based on the Wordcloud data, it is known that the majority of comments are positive, indicating that the reviews or texts analyzed contain many positive expressions related to quality, usability, and ease of use.

This study critically examines the construction and reproduction of authenticity norms and buffer standards in Indonesian TikTok users’ communication practices. Employing Norman Fairclough’s Critical Discourse Analysis (CDA) framework, the research explores how digital expressions—through captions, comments, and hashtags—reflect power relations, algorithmic logic, and social norms that operate subtly yet effectively. An analysis of five popular TikTok contents reveals that so-called “authentic” expression is not spontaneous honesty but rather a curated and performative construct aligned with algorithmic expectations and community aesthetics. The concept of the buffer standard refers to implicit symbolic boundaries that define which expressions are “acceptable” and which risk social or systemic rejection. The study concludes that freedom of expression in digital spaces like TikTok is always a product of negotiation between user agency, algorithmic pressure, cultural norms, and the commodification of identity.  

This Community Service Program (PKM) was implemented in response to the high usage of social media among students, particularly Instagram, which often becomes a platform for cyberbullying. This phenomenon becomes increasingly complex when students come from diverse cultural backgrounds. Comments or posts considered normal in one culture may be perceived as offensive in another. A lack of cultural sensitivity often triggers digital conflict and bullying, which can negatively impact students' mental health. This PKM aims to improve students’ understanding of the dangers of cyberbullying and the importance of cross-cultural communication ethics. The program began with a pre-test to assess participants' initial knowledge, followed by an interactive seminar discussing the concepts of cyberbullying, digital ethics, and real-life case studies. Students then engaged in group discussions and simulations, where they analyzed problematic digital content and formulated empathetic, constructive responses. At the end of the activity, a post-test was conducted to evaluate the program’s effectiveness. The results showed a significant improvement in students’ awareness and attitudes. This program successfully encouraged students to be more thoughtful and responsible in their online interactions and to become change agents in creating a safer, more inclusive digital environment. The outcomes of this program include a scholarly publication, an educational video disseminated on social media, and quantitative data showing an increase in participants’ knowledge. Overall, this initiative contributes to strengthening multicultural digital literacy among today’s youth.

This Community Service Program (PKM) was implemented in response to the high usage of social media among students, particularly Instagram, which often becomes a platform for cyberbullying. This phenomenon becomes increasingly complex when students come from diverse cultural backgrounds. Comments or posts considered normal in one culture may be perceived as offensive in another. A lack of cultural sensitivity often triggers digital conflict and bullying, which can negatively impact students' mental health. This PKM aims to improve students’ understanding of the dangers of cyberbullying and the importance of cross-cultural communication ethics. The program began with a pre-test to assess participants' initial knowledge, followed by an interactive seminar discussing the concepts of cyberbullying, digital ethics, and real-life case studies. Students then engaged in group discussions and simulations, where they analyzed problematic digital content and formulated empathetic, constructive responses. At the end of the activity, a post-test was conducted to evaluate the program’s effectiveness. The results showed a significant improvement in students’ awareness and attitudes. This program successfully encouraged students to be more thoughtful and responsible in their online interactions and to become change agents in creating a safer, more inclusive digital environment. The outcomes of this program include a scholarly publication, an educational video disseminated on social media, and quantitative data showing an increase in participants’ knowledge. Overall, this initiative contributes to strengthening multicultural digital literacy among today’s youth.

Obesity in women of childbearing age is a growing health problem, not only due to dietary patterns and lack of physical activity, but also due to the influence of social and cultural factors. This study aims to gain a deeper understanding of the experiences, perspectives, and habits of women of reproductive age who are obese within the context of local social and cultural norms. Using a qualitative phenomenological approach, data was collected through in-depth interviews with five primary informants who are obese, as well as triangulation informants from community health workers and healthcare professionals. The results of the study indicate that perceptions of obesity are still predominantly viewed from the perspective of physical appearance rather than health. Social factors such as family eating patterns, snacking habits, comments from others, and lack of physical activity are triggers for obesity. Meanwhile, local culture has a varied influence—some communities are beginning to adopt slim body ideals, while others remain neutral. Obesity also impacts self-confidence, social stigma, and limitations in daily activities. However, most informants expressed hope for a healthier life. This study recommends interventions that consider local cultural values and involve family and community support in obesity prevention effort.

This study explores the politeness strategies used in netizens’ comments on the policy of disbursing regional ASN teacher allowances across three social media platforms: Facebook, TikTok, and Instagram. The research is grounded in the growing phenomenon of public opinion expression in digital spaces, which often reflects varying levels of language politeness. The purpose of this study is to identify the types of politeness strategies used, examine the differences between platforms, and uncover the influencing factors. Employing a descriptive qualitative approach, the study applies Brown and Levinson’s politeness theory. Data were collected from user comments on a speech by President Prabowo Subianto regarding ASN teacher allowance distribution. The findings indicate that negative politeness and impoliteness strategies dominate across all platforms, with varying patterns. Facebook and TikTok featured more direct and sarcastic comments, while Instagram tended to display more indirect and polite expressions. Influencing factors include platform characteristics, the content of the speech, and the personal experiences of users. These findings contribute to digital pragmatics studies and offer practical insights for promoting ethical communication on social media.

This study discusses social media-based English learning strategies in a case study on @glishbygiovana Instagram account. The background of the study is based on the increasing use of social media as a flexible alternative learning tool, especially among the younger generation. The main objective of this study is to analyze the type of content, presentation format, audience interaction, and the impact of reporting English skills on increasing followers. The study utilized a descriptive qualitative method in a case study approach. The results showed that short videos such as stories and comments, educational signatures, and interactive characteristics successfully attracted users' attention and increased active participation in the learning process. The interaction formed between accounting assistants and followers creates a supportive and dynamic learning community. These results suggest that social media, particularly Instagram, can be an effective and enjoyable learning tool when consistently relevant. The effectiveness of this study demonstrates the potential of social media as an adaptive educational platform for modern learning needs and can be used as a model for formal non-classroom English teaching strategies.

This study examines violations of ethical commenting on the Instagram account @Pertamina, in response to a fuel-mixing corruption case that caused state losses of up to one quadrillion rupiah. The research aims to describe forms of unethical comments posted by netizens and analyze them based on Article 28 paragraph (2) of Indonesia’s Electronic Information and Transactions Law (ITE Law). A normative juridical method was used, supported by digital observation, documentation, and note-taking techniques. The results revealed 20 comment samples containing hate speech, insults, threats, and defamation. These comments not only violate digital ethics but also potentially breach Articles 28(2) and 27(3) of the ITE Law. According to Soedikno Mertokusumo's theory of legal objectives, such comments fail to uphold justice, legal certainty, and usefulness, ultimately damaging the digital public space, which should foster healthy and productive communication.

This study uses a qualitative method to analyze content trend strategies in interactive digital marketing that contribute to building consumer loyalty. In today’s highly competitive digital era, companies are required to create strong engagement with consumers through digital platforms such as social media, websites, and applications. Content trends like storytelling, user-generated content, live streaming, and influencer usage have proven to attract audiences and encourage ongoing interaction. This research explores how these trends are applied by various brands and how consumers respond to these approaches over the long term. The findings show that message consistency, emotional value in content, and interactivity are key factors in forming emotional bonds that impact loyalty. Furthermore, two-way engagement between consumers and brands through comments, likes, and sharing features strengthens this relationship. By understanding consumer digital preferences and behaviors, content strategies can be dynamically adapted to maintain loyalty while expanding the relevant market reach.

This study is intended to examine the marketing strategies implemented by horticultural farmers in Serang City by utilizing the Facebook platform, and to find out whether the number of posts and comments can affect sales volume. This study applies a quantitative approach with multiple regression analysis techniques. Data was collected by purposive sampling method through interviews, questionnaires and observations by horticultural farmers in the Facebook community “Petani Serang Banten”, with the number of samples used as many as 9 horticultural farmers. The results of this study show that there is an influence between the independent variables (number of posts and number of comments) on the dependent variable (the level of sales of horticultural commodities). In this study, horticultural farmers are advised to be able to utilize Facebook social media in marketing their agricultural products.

This literature research aims to compile and describe the role of managers in improving employee performance. The method used is the library research method. The data collection method used is the documentation method. The data analysis technique used is content analysis. To maintain the accuracy of the assessment and prevent errors in information in data analysis, cross-library checks are carried out and re-reading the literature and paying attention to the reviewer's comments. The results of this study show that the better the motivation provided by managers, the more significant it can improve employee performance.

In the digital era, social media platforms like Instagram have become critical arenas for public discourse, especially in political communication. This study investigates public sentiment and expressive speech acts in Instagram comments responding to two of President Prabowo’s key policy announcements: the Free Nutritious Meal Program and the policy of direct bank transfers for regional ASN teacher allowances. Guided by Searle’s theory of speech acts, particularly expressive acts such as thanking, complementing, congratulating, deploring, condoling, apologizing, and welcoming, the study analyzes 60 purposively selected comments, 30 for each policy. The findings show that deploring dominates the discourse, with 67% in the meal program post and 73% in the ASN allowance post, indicating prevailing negative sentiment marked by criticism, disappointment, and frustration. Positive speech acts such as complimenting and thanking were present but marginal. These results highlight the importance of transparent policy implementation and the need for improved public communication strategies to address citizen concerns more effectively on digital platforms.  

. This research analyses the transformation of slang among Indonesian youth, particularly on the TikTok platform, as an indicator of shifts in communication and cultural trends. Using a qualitative approach and content analysis, this study focuses on the use of slang in TikTok comments to understand the meaning and context of frequently used terms. We randomly collected data from comments made by TikTok users who actively use slang. The analysis results show that the term "Btw" serves as an opener for a new conversation, "Ultah" is an abbreviation for "Ulang Tahun" (Birthday), "Candu" expresses a deep liking, and "Gemoy" describes something cute or adorable. The use of these terms reflects the rapidly evolving dynamics of language among the younger generation, showing how slang strengthens social interactions in the digital media. This research is expected to provide insights into the mindset and expressions of language speakers on social media, as well as encourage discussions on the preservation of the Indonesian language in the digital era.

This study discusses how experiential quality affects revisit intention at the Goa Batu Kapal tourist attraction in South Solok Regency, which is motivated by the number of visits that have experienced instability and decline in the last 6 months, In  pre-research, we found that 70% of people who visited us may not want to revisit again. Some people also left negative comments on  google reviews. about the Goa Batu Kapal tourist attraction in South Solok Regency. This study employed a purposive sampling technique, which yielded 199 samples, along with a quantitative method using a causal associative approach as the research methodology. A questionnaire with a Likert scale arrangement that has undergone validity and reliability testing is used in the data gathering method. The R-squared results indicate that, with a percentage value of 69.3%, experiencing quality has a significant impact on revisit intention, with other factors accounting for the remaining 30.7%. The results of this study show that the experiencing quality variable has a significant impact on revisit intention, with the hypothesis testing yielding a t-statistic 16.6> 1.96 and a p value 0.00 <0.05. The study concludes that whereas Ho is rejected, Ha is accepted.  

This research discusses the impact of tourist attractions on interest in returning to the Sajuta Janjang in Agam Regency, which is motivated by a significant decrease in the visits every year number, pre-research which states that as many as 72% of visitors are not interested in visiting again and there are still negative comments on Google review about Sajuta Janjang. The method for research used is a technique of quantitative method with a approach in causal associative and the technique for sampling uses a purposive sampling which is determined at 220 samples. The technique for data collection uses a questionnaire prepared on a Likert scale which has been tested for validity and reliability. The technique for data analysis uses PLS-SEM software. The R square results show that tourist attraction has a big influence on interest in returning to visit with a percentage value of 70.5% while the remaining percentage of 29.5% is influenced by other factors. The test of hypothesis results obtained a t-statistic of 48.1 > 1.96 and a p value of 0.00 < 0.05, so the research results indicate that the tourist attraction variable has a significant effect on interest in returning to visit. In this research, the conclusion that Ha was accepted and Ho was rejected.  

This consider points to assess the affect of brand image on customer obtaining behavior in a computerized setting by joining quantitative strategies and counterfeit insights (AI)-based opinion examination. Essential information collection was conducted through an internet overview of 212 respondents matured 21–35 a long time who routinely make online buys, whereas auxiliary information was gotten from 5,000 customer comments on social media and e-commerce destinations. The comes about of the relapse examination appeared that brand image components such as believe (β = 0.37), seen quality (β = 0.31), and passionate association (β = 0.28) have a critical impact on buy purposeful (R² = 0.62, p < 0.01). The discoveries from the estimation investigation appeared that 72% of customer suppositions were positive, supporting the quantitative comes about and underlining the significance of the enthusiastic viewpoint in acquiring choices. This think about contributes to the advancement of hypothesis by combining essential and auxiliary information analyzed utilizing AI innovation, and emphasizing the significance of computerized notoriety and enthusiastic perspectives in forming brand quality. The comes about of this ponder open up unused points of view in creating data-based promoting procedures within the computerized period.

This article aims to find out and understand about julid from a hadith perspective. Julid is an expression that has the meaning of being jealous of the success or enjoyment of other people. In slang, it is called julid, which is done by someone on social media by making comments, statuses or opinions that corner certain people. Meanwhile, this behavior is strictly prohibited by Islamic teachings. Therefore, the author will discuss julid in a hadith perspective. ThisLibrary research is a series of activities related to collecting library data, reading, recording, and processing research materials.

The case involving Seunghan from RIIZE drew widespread attention on social media, particularly on platform X, and triggered various public responses toward SM Entertainment. This study aims to analyze public perceptions of SM Entertainment's reputation through netizen comments on digital platforms. Employing a qualitative approach and participatory observation method, the research examines 15 viral posts made by netizens related to the case. Findings reveal that public opinion is significantly shaped by the pseudo-environment formed on social media. Criticism of SM’s crisis management, disappointment among the fandom, and allegations of supporting bullying emerged as dominant themes. These results highlight the importance of transparency, speed, and social sensitivity in crisis communication in the digital era. The study recommends that entertainment agencies respond more strategically to public opinion in order to preserve their reputation in virtual spaces.