Publication Search

The rise of reflective content on YouTube underscores the need for pragmatic research that investigates not only what is said but also the effects of speech on audiences (perlocution). This study aims to analyze the speech act forms associated with perlocutionary effects on Henny Kristianus’s YouTube channel, focusing on the theme of maturity of mind, and to map observable indicators in viewers’ responses. A qualitative descriptive approach with pragmatic content analysis was employed. Data were drawn from transcripts of two videos and corresponding audience comments. The analysis identified three dimensions: (1) types of illocutions (advice, invitation, warning, empathetic assertion), (2) rhetorical/multimodal devices (metaphor, personal narrative, reflective question, call to action), and (3) observable perlocution indicators (attitude change, behavioral intention, emotional support). The findings show that empathetic and reflective utterances most frequently produce perlocutionary effects such as cognitive clarification, behavioral intention, and social reinforcement among viewers. These results suggest that the perlocutionary strength in digital discourse is influenced by the harmony between linguistic strategy, message depth, and communicated maturity values. Theoretically, this research enriches Indonesian digital pragmatics studies. Practically, it provides educators and content creators with insights to design ethical, persuasive, and character-building educational discourse.

This study aims to examine the shift of utterances from criticism to hate speech in digital communication related to the Iran-United States-Israel conflict in 2026 on social media. The study focuses on the transformation of the functions and meanings of users’ comments, which initially appear as opinions or criticism but gradually evolve into expressions that contain elements of hate speech. This research employed a descriptive qualitative method, using a pragmalinguistic approach to interpret the meanings of utterances based on linguistic context, speaker intention, and surrounding social circumstances. The data were obtained from users’ comments on posts shared on Instagram and TikTok through observation and documentation. The collected data were then analyzed by classifying utterances into several categories, including criticism, emotional criticism, offensive speech, personal attack, and hate speech. The findings reveal that the transformation of utterances into hate speech occurs gradually rather than instantly. Initially, evaluative criticism tends to shift due to the increasing use of emotional, sarcastic, and derogatory language, eventually developing into personal attacks, negative labeling, and even dehumanization toward certain groups. These findings indicate that social media may amplify the emergence of hate speech by providing users with broader opportunities to express emotions freely. Therefore, the pragmasemantic approach is considered relevant in understanding the dynamics of meaning transformation in digital communication.

Sentiment analysis on social media is widely used to represent public perceptions of sports performance, particularly in international competitions. This study aims to analyze the sentiment of YouTube user comments regarding the performance of the Indonesian National Football Team during the FIFA World Cup 2026 Asian Qualifiers. The data were collected from user comments on videos related to the matches and analyzed using a machine learning–based sentiment analysis approach. Sentiment classification was performed using the Naive Bayes algorithm. The results indicate that the proposed approach is able to effectively identify public sentiment toward the national team’s performance during the qualification matches. The findings of this study are expected to provide insights into public perceptions and contribute to sentiment analysis research in the field of sports.

In today's digital era, social media has become an integral part of everyday life, especially for younger generations such as students. Platforms like Instagram, TikTok, Twitter, and Facebook facilitate fast and interactive communication, but often encourage the use of informal language such as abbreviations or emojis. This contrasts with the demands of the academic world. This study aims to analyze the influence of social media use on students' language styles in the academic world. The research method used was quantitative, namely observation. Observations were conducted to determine students' communication patterns on digital platforms (such as class WhatsApp group chats and comments on social media). The results showed a strong tendency to use slang, non-standard abbreviations, and code-mixing, carried over from social media habits into formal academic contexts. This phenomenon has contributed to the erosion of the boundaries between informal and formal language styles among students. This study concludes the need to strengthen formal language literacy to maintain professional communication in the academic world.

The phenomenon of Fear of Missing Out (FOMO) has become increasingly prominent among Generation Z due to the high intensity of social media use. Social media serves not only as a communication tool but also as a space for identity construction and the pursuit of social validation. Exposure to influencer content portraying ideal lifestyles, social achievements, and trending activities encourages individuals to remain constantly connected in order to avoid feeling left behind in digital communities. This study aims to analyze the influence of social media influencer content on the level of FOMO among Generation Z. The research employs a qualitative descriptive approach using a literature review method by examining relevant national and international academic journals published within the last five years. Data were analyzed by identifying patterns linking influencer content exposure, psychological mechanisms of FOMO, and its impact on Generation Z’s behavior and psychological well-being. The findings indicate that influencer content significantly contributes to social comparison processes and increases the need for digital validation, such as likes and comments, which are perceived as indicators of social acceptance. This condition strengthens FOMO tendencies and leads to excessive digital engagement, consumptive behavior, and psychological pressure. The discussion highlights that social media algorithms further intensify this cycle by repeatedly promoting popular and viral content. In conclusion, influencer content plays a crucial role in intensifying FOMO among Generation Z, emphasizing the importance of digital literacy and critical awareness to mitigate its negative effects.

The advancement of digital technology has made computer literacy and language comprehension increasingly important. Playing games has become a daily habit for young children. Scratch is an innovative and child-friendly platform. This community service program aims to introduce basic programming concepts to sixth-grade students of Bulupasar Elementary School, Kediri, using the Scratch platform. This program adopts the Direct Instruction method, also known as hands-on learning. This one-day session involved 43 students who underwent a structured process consisting of a pre-test, material delivery, hands-on practice, such as using code blocks, introducing sprites, and creating a simple game, which was explained clearly and structured. During the project implementation phase, each student successfully created a simple animation project with the theme "Catch the Apple" and then conducted practical exercises to try it out on their own with direct guidance. This community service activity was successful, according to the analysis of the pre-test and post-test results. The resources used to create the simple game showed positive results and confirmed the importance of introducing children to the digital world from an early age. Qualitative evaluations revealed positive responses from all participants. Student comments reflected high enthusiasm for learning to code, with the majority expressing a desire to continue exploring Scratch independently. Several students expressed interest in creating future projects, suggesting the program has potential for implementation in other schools to encourage early introduction to programming and help prepare them for the future in an era of ever-evolving technology.

This study examines the dynamics of public criticism of Shin Tae-yong's dismissal by PSSI as a phenomenon of digital communication that shows the tension between freedom of expression and the legal limits of hate speech. The background of this research stems from the intensity of netizens' reactions, which developed into collective moral pressure and had the potential to enter the realm of insults and hostility, as reflected in various comments, news reports, and verbal disputes involving public figures. This study aims to analyze how criticism, media framing, and netizen responses interact with the regulations of the ITE Law, particularly Article 28 paragraph (2), which is often used in reporting hate speech. The methods used are a normative juridical approach and case studies with document analysis, news reports, and academic literature techniques to identify patterns of digital expression and their legal relevance. The results of the study show that public criticism of Shin Tae-yong not only reflects performance evaluation, but also contains emotional, social identity, and moral dimensions that are reinforced by media framing and digital culture. The discussion confirms that the shift from criticism to hate speech occurs when public expression is not managed ethically, while law enforcement on hate speech articles still faces interpretation problems. In conclusion, this verbal dispute reflects the complexity of Indonesia's digital democracy and the urgency of legal reform

Football in Indonesia is not merely a sport but a social phenomenon that triggers massive public emotional engagement. Every result of the Indonesian National Team, particularly in prestigious events such as the FIFA World Cup Qualifiers, often generates waves of opinion in digital spaces filled with criticism, support, and disappointment. The failure of the Indonesian National Team in the 2026 FIFA World Cup Qualifiers has become an important momentum to systematically understand public perception. The purpose of this study is to identify the distribution of public sentiment and to reveal the main issues most frequently discussed through keyword visualization, thereby providing an overview of societal reactions. This research utilizes 971 comments from the TikTok platform as the primary dataset, collected through a crawling process and processed using text mining stages before being classified with a sentiment analysis method. The findings indicate a sentiment distribution dominated by Neutral at 63.67%, Negative at 32.36%, and Positive at 3.97%. The word cloud visualization highlights dominant keywords such as “Pecat” (Dismiss), “Evaluasi” (Evaluation), and “PSSI” (Indonesian Football Association), reflecting public criticism of managerial aspects, although positive words such as “Semangat” (Spirit) and “Dukung” (Support) also appear, emphasizing supporter loyalty. These results contribute to an empirical understanding of the issues most highlighted by the public and the distribution of collective emotions, which can serve as a basis for PSSI and stakeholders in formulating communication strategies, policy evaluations, and improvements to the national football management system.

This study aims to analyze the influence of influencers and electronic word of mouth  (e-WOM) on the purchase decision of Bika Ambon Ahun in Medan City. The rapid development of social media has transformed how consumers obtain information and make purchasing decisions, making influencers and e-WOM essential components in shaping consumer perceptions and behavior. This research employs an associative quantitative method with data collected through questionnaires distributed to consumers who were familiar with the product through social media. The data were analyzed using partial (t-test) and simultaneous (F-test) analyses to examine the strength of the relationship between the independent variables and the purchase decision. The findings indicate that influencers have a positive and significant effect on purchase decisions, as consumers perceive influencer review content to be credible, engaging, and persuasive. Likewise, e-WOM demonstrates a positive and significant influence, supported by consumer trust in online reviews, comments, and recommendations that serve as strong social proof before making a purchase. Simultaneously, both influencers and e-WOM contribute 68.4% to the variation in purchase decisions, while the remaining 31.6% is influenced by other external factors. These results emphasize that the combined influence of influencers and e-WOM generates a synergistic effect that strengthens consumer interest, trust, and confidence in purchasing local products such as Bika Ambon Ahun. The study implies the importance for businesses to optimize digital marketing strategies by collaborating with credible influencers and encouraging positive online reviews as a means to reinforce consumer purchase decisions.  

This study examines sarcastic utterances by netizens on TikTok during the 2024 Gorontalo Regional Election, focusing on their forms, functions, and influencing factors. The research analyzed comments on TikTok videos related to the election, specifically those containing sarcasm, selected purposively. Using a qualitative descriptive approach, the study categorized sarcastic utterances into four forms: (1) action sarcasm, (2) trait sarcasm, (3) result-of-action sarcasm, and (4) advisory sarcasm. The functions of these utterances include expressing opinions, prohibition, information, emphasis, rejection, commands, and statements. The study also identified two main factors influencing the use of sarcasm: emotional outbursts and disappointment toward the candidate pairs. The findings suggest that sarcasm is employed as a medium for expressing attitudes, emotions, and political judgments in digital discourse. This research highlights the role of sarcastic speech acts in the political conversation on social media during election campaigns.

This study examines Terra Drone Indonesia's implementation of management dialogue in addressing crisis communication following a fire at the company's office building. The incident sparked a wave of negative sentiment on Instagram, marked by increased public comments assessing occupational safety, data security, and the company's transparency in conveying information related to the legal process. The study used a qualitative approach with a case study method to understand how the company developed a crisis communication strategy through official statements published on social media. Data were analyzed based on dialogic elements of communication, particularly empathy for victims, humanitarian commitment, and the company's position and normative and defensive stance in affirming legal handling and compliance measures. The results show that the company attempted to balance an empathetic narrative to mitigate public pressure with a defensive strategy to maintain institutional legitimacy. However, the dynamics of public opinion on Instagram indicate that the company's response has not fully met the expectations of two-way communication. This is evident in the dominance of one-way communication patterns and the lack of technical clarifications needed by the public, thus creating a productive economic outlook. Overall, dialogic management has been implemented responsively, but has not been optimal in building a space for dialogue and public trust as a whole.

This study aims to describe users' experiences and perceptions regarding the presence of malicious comments on social media, particularly on TikTok and Instagram. Data were collected through an online questionnaire using Google Forms containing eight open-ended questions, then analyzed using a descriptive qualitative approach through thematic analysis. The results showed that all respondents had and frequently encountered malicious comments, especially on viral content or creator accounts with large followings. The most common forms of malicious comments included body shaming, insults, defamation, and belittling and demeaning comments. Respondents expressed various emotional reactions such as discomfort, sadness, anger, and pity, although a small number felt normal due to their familiarity with the phenomenon. Factors that drive someone to make malicious comments include following the crowd (FOMO), envy, personal dislike, and the ease of expressing negative opinions on social media. Malicious comments also impact user comfort, with most feeling disturbed and uncomfortable. Respondents' responses to malicious comments included ignoring, responding positively to reprimands, blocking accounts, or reporting the comments. Respondents also proposed several efforts to reduce malicious comments, such as limiting or closing the comment section and increasing education regarding social media ethics. Overall, this study confirms that malicious comments are a common phenomenon on social media and need to be addressed through better personal awareness and digital literacy.

This study examines the commodification of women’s bodies within environmental campaign content on digital media, focusing on a video produced by Pandawara Group that addresses textile waste issues. Although the campaign aims to raise ecological awareness, the visual emphasis on a female body particularly the exposure of a bra redirected public attention from environmental messages to sexualized interpretations in the comment section. This research aims to analyze how such meaning shifts occur through representation and audience interpretation. Using Sara Mills’ Critical Discourse Analysis, this study focuses on subject–object positioning and reader positioning in both visual and verbal elements of the content. The data consist of one campaign video and selected public comments on TikTok, analyzed qualitatively. The findings reveal that women are positioned as visual objects rather than active subjects within the discourse, while audiences are constructed as observers of the female body instead of interpreters of environmental issues. The recurring use of the phrase “content that unites the nation” further legitimizes sexualized readings and reinforces dominant gendered discourse. Importantly, the study finds that such interpretations are reproduced not only by male audiences but also by female users, indicating the internalization of dominant visual culture in digital spaces. This study contributes to gender and media studies by demonstrating that environmental campaigns are not free from gender bias and that visual representation plays a crucial role in shaping unintended meanings within social campaigns.

Traditional arts in Indonesia face a growing threat not from physical displacement, but from algorithmic distortion. This study examines how social media algorithms shape and distort public perception of Indonesian traditional arts — specifically jaranan and barongan — through the lens of Van Dijck's (2013) popularity principle: the principle that content distribution is determined by interaction volume rather than cultural value. Employing qualitative thematic content analysis, this study analyzes comments on five viral social media videos sourced from YouTube and TikTok, each depicting riots or tension at traditional art performances. Findings demonstrate that the popularity principle operates consistently and cumulatively across all five samples: algorithmically provocative titles, emotional polarization in comment sections, and micro-behavioral signals such as watch duration and replay collectively function as interaction signals that drive the platform to distribute riot content far more widely than culturally substantive footage. The consequences extend beyond perception: event organizers suffer long-term reputational and economic damage, while collective stereotypes — associating jaranan with violence and disorder — become sufficiently entrenched to surface spontaneously in unrelated contexts. A comparative analysis of a Kangen Band concert video reveals that these stereotypes have already achieved the status of cultural reference points. This study argues that strategic resistance is possible: the same algorithmic logic that amplifies negative content can be deployed to circulate culturally rich content, provided that artists, communities, and government commit to producing content designed to generate high-quality interaction. The challenge is to transform social media from a distorting mirror into an instrument of cultural preservation.

Creative writing plays an important role in developing students’ imagination, self- expression, and language competence in the digital era. However, many learners still struggle with generating ideas, maintaining motivation, and gaining confidence in writing. This study aims to analyze how the use of Wattpad, viewed through the Social Constructivist framework, can enhance students’ creative writing skills, motivation, and confidence. This research applies a qualitative descriptive approach supported by survey data from 30 high school students who actively use Wattpad. The results show that 95.7% of respondents have used Wattpad before, with most of them using it to read and learn from other writers. A total of 60.9% of respondents stated that reading other writers’ works was the most helpful for improving their writing, while 17.4% highlighted peer comments and feedback as additional support. Despite its benefits, 43.5% of students mentioned difficulty in organizing ideas as their main challenge. Open-ended responses revealed that positive feedback and community interaction on Wattpad helped increase students’ motivation and confidence in writing. The discussion emphasizes that the social interaction and feedback features of Wattpad foster collaborative learning, aligning with Vygotsky’s concepts of scaffolding and the Zone of Proximal Development. These findings suggest that integrating Wattpad into writing instruction can effectively enhance students’ creativity, critical thinking, and confidence in producing literary works.

Paid online matchmaking services that have developed through Facebook use consumer profiles to promote and find partners. This practice raises legal issues, particularly those related to consumer protection and the risk of digital harassment—also known as cyberbullying—in the form of derogatory, discriminatory, or offensive comments about consumers' personal standards that are displayed publicly. The purpose of this study is to assess the legal liability of business actors for cyberbullying when operating online matchmaking services and to assess the extent to which legal protection tools are available to consumers. This study uses a normative legal approach, utilizing case studies of legislation and conceptual studies on the practice of paid matchmaking services on social media. The results of the study show that businesses are required to guarantee the safety, comfort, and protection of consumer rights in all digital-based commercial activities, including managing content and interacting with people on social media. Non-material losses, such as psychological pressure and abuse of consumer dignity, are caused by a lack of supervision and a lack of moderate comment mechanisms. Therefore, regulations on personal data protection must be strengthened, content moderation responsibilities must be determined, and legal accountability mechanisms for business actors in the digital ta'aruf business must be made clear.

The development of digital technology has encouraged the government to utilize social media as an effective means of public communication. The Ministry of Agriculture is one institution that actively uses Instagram to convey information, build a positive image, and interact with the public. This study aims to determine the Public Relations strategy in managing the Instagram social media account @kementerianpertanian. This study uses the Public Relations strategy theory from Cutlip and Center, which consists of four stages: problem identification, planning and programming, communication and action, and evaluation. The research method used is a descriptive qualitative approach, with data collection techniques through in-depth interviews and documentation of the Ministry of Agriculture's Public Relations team. The results show that the Ministry of Agriculture's Public Relations has implemented a planned communication strategy, starting from planning informative and educational content, utilizing Instagram features such as reels, stories, and live to increase interaction, to routine evaluation based on engagement data (likes, shares, comments, and saves). This strategy also adapts to social media trends and audience needs. Public Relations actively responds to user questions and comments to maintain two-way communication. However, challenges such as negative comments, limited resources, and changes in the Instagram algorithm are obstacles that still need to be overcome. Overall, the implemented strategy has successfully supported the improvement of the image and transparency of public information within the Ministry of Agriculture.

The development of social media platforms like TikTok has created new spaces for digital economic activities, including the practive of thrifting, which has now become a trend among the public. However, government policies that block these activities have sparked various public reactions. This study aims to analyze public sentiment regarding the issue of thrifting bans on the TikTok platform using the Bidirectional Long Short-Term Memory (Bi-LSTM) method. This method was chosen because it can understand text context from both directions, allowing it to capture deeper semantic meaning. The dataset consist of 4,000 TikTok user comments collected through a crawling process. The research stages include data preprocessing, sentiment labeling, splitting training and test data, training the Bi-LSTM model, and evaluating performance using accuracy, precision, recall, and F1-score metrics. The research results show that the Bi-LSTM model achieved an accuracy of 86.15%, with stable classification performance and minimal error rate. These findings indicate that Bi-LSTM is effective for sentiment analysis of public opinions on Indonesian language social media, particularly on context specific policy issues. Further development can be carried out by adding pre-trained embeddings or attention mechanisms to improve the model’s performance.

This study examines the phenomenon of code-mixing among Generation Z in Banjarmasin, particularly in The comments section of TikTok content, which has become a primary digital expression space for young People. The aim of this study was to identify the forms, patterns, and social and cultural factors underlying This linguistic practice. Using descriptive qualitative methods with listening and note-taking techniques, Information was collected from comments on two TikTok posts on the accounts @BudRab and @Fazarbungaz. The findings indicate that the code-mixing that occurred was dominated by the insertion Of Banjarese elements into Indonesian (Banjar-Indonesian code-mixing), as well as a mixture of Banjarese, Indonesian, and English (Outer Code-mixing and Mixed Code-mixing). The forms of code-mixing found Included the insertion of Banjarese words, phrases, and lexical items such as kd (kada), makai, and mun. An analysis of the functions of code-mixing shows that this practice has a dual role: referential (for specific Local contexts), directive (to guide conversations), emotive/expressive (to indicate emotional closeness, for Example, longitude), and most importantly, as a marker of digital identity and cultural solidarity among Banjar speakers in the digital realm. This phenomenon confirms that social media serves as a new, flexible and essential space for the Banjar language to survive and negotiate with global and national languages. This study contributes to sociolinguistics by mapping the dynamics of language evolution among Gen Z in A digital context, highlighting the creative and social aspects of code-mixing.

The rise of social media has made TikTok one of the platforms where public discussions quickly develop, especially when dealing with issues involving public figures. Cases of infidelity often receive strong reactions, and many users express their emotions through comments that spread widely and shape public conversation. This study aims to examine the emotional expressions of netizens in responding to an infidelity case involving a public figure on TikTok, particulary on the account @nyatamedia. A descritive qualitative approach was applied, using documentation and content analysis to identify the forms and meanings of netizen comments contain a range of emotions such as anger, dissapointment, disgust, empathy, sadness, fear, sarcasm, and social criticism. Anger and dissapointment show rejaction of the infidelity, while empathy and sadness reflect concern for the affected party. The comments contain personal views and criticism related to social conditions, especially those connected to public perceptions of marriage. Based on these findings, social media appears to serve as a space where people express their feelings and opinions about events that attract public attention.