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This qualitative literature review titled "The Power of Sequence: A Qualitative Analysis of Consumer Targeting and Spillover Effects in Social Media Advertising" investigates the strategic interplay between consumer targeting, the sequencing of advertisements, and the resultant spillover effects within social media marketing. As social media platforms like Facebook and Twitter continue to evolve as vital advertising channels, understanding how to optimize consumer engagement through targeted strategies is essential for brands aiming to maximize their advertising returns. This review synthesizes existing literature on consumer behavior, advertisement sequencing, and information diffusion to establish a comprehensive framework for enhancing the effectiveness of social media campaigns. Findings indicate that strategic sequencing of advertisements can significantly enhance click-through rates and conversions by leveraging positive spillover effects. Moreover, the review identifies best practices for targeting specific demographic groups and suggests that an optimal sequence can lead to substantial budget savings in advertising expenditures. This study contributes valuable insights for marketers seeking to refine their social media advertising strategies and improve overall campaign performance, paving the way for future research in this rapidly evolving field.

This research aims to analyze politeness strategies in online comments on social media, with a focus on the application of Brown and Levinson's politeness theory. Social media as a virtual public space presents challenges in maintaining communication ethics, especially regarding user anonymity and spontaneity. Research data is obtained from online comments on platforms such as Instagram, Twitter, and YouTube, which are relevant to certain public topics. A qualitative approach with pragmatic discourse analysis is used to identify forms of positive politeness, negative politeness and politeness violations.  The research results show that positive politeness strategies are more dominant than negative politeness, especially on emotional topics. Speech act patterns that are often found include illocutionary acts in the form of support or praise, as well as perlocutionary acts that create an emotional response. Cultural factors, discussion topic, level of anonymity, and age of the user influence the application of politeness. The findings also revealed that politeness violations occurred more frequently in controversial discussions.  This research provides practical implications in increasing social media users' awareness of communicating politely. In addition, digital platforms are expected to strengthen moderation features to create a healthier communication space. Further research is recommended to explore the relationship between language politeness and digital conflict in various cultural contexts. 

Educational institutions currently need to be managed competently and deserve attention in today's era. Because, school competition is getting tighter. to influence the decisions of parents and prospective students in accepting new students. Schools need to have the right promotional strategy. Because the more competitive schools are, the more schools must have good and innovative promotional strategies to attract consumer interest. In an era that relies on technology and the target market that currently understands technology, educational institutions are required to adapt to technological developments, one of which is through the implementation of digital marketing-based promotional strategies. Schools can promote through Digital Marketing by using the school website or utilizing social media sites such as Facebook, Instagram, Twitter, TikTok, YouTube, and Whatsapp. The purpose of this study is to examine how digital marketing-based promotional strategies can help schools increase the interest of prospective new students. This study uses a literature study method based on various sources in the form of reference books, research results, or scientific journals. Thus, the use of the right promotional strategy, especially in using school digital marketing, can reach a wider community, school information becomes easily accessible anytime and anywhere, and this school's promotional activities will certainly be more effective and efficient.

Utilizing social media platforms like Facebook, Instagram, and Twitter are media that are considered effective in spreading Islamic da'wah because they are easy to access at anytime and anywhere so that the spread of Islamic da'wah can be done quickly with a wide audience reach. In managing social media, a communication strategy is needed so that the goal of disseminating information can be achieved. The purpose of this study is to ascertain the communication tactics used by the Instagram account @gen.saladin to disseminate da'wah. The method used in this kind of research is qualitative descriptive. Interviews and documentation are used in data collection methods. This study's analysis makes use of Milles and Huberman's methodology, which includes data reduction, data presentation, and findings.The study's findings demonstrate that the communication strategy used by the Instagram account @gen.saladin is predicated on Lasswell's idea of "Who Says What in Which Channel to Whom With What Effect?" and entails actions like gaining a thorough grasp of the target audience, content production interesting and relevant, consistency in posting, active interaction with followers, appropriate use of hashtags and tagging, utilizing Instagram features, regular measurement and evaluation, and collaboration with influencers and other communities.

This research aims to (1) Knowing the differences in self-control among guidance and counseling students at Sanata Dharma University who use social media X (Twitter) based on gender. (2) Determine the level of self-control among guidance and counseling students at Sanata Dharma University who use social media X (Twitter). (3) Knowing the level of self-control among guidance and counseling students at Sanata Dharma University who use social media X (Twitter). Type of quantitative research with a comparative approach. The subjects in this research were BK USD students who used Twitter, totaling 30 male and 30 female students. The questionnaire is based on Averill's self-control theory (in Ghufron and Risnawati, 2010) which has three aspects including: Behavioral control, cognitive control, and control in making decisions. The validity test results obtained a total of 39 valid items.The research results show differences in the level of self-control between guidance and counseling male students and female students who use social media based on the results of Mann Whitney, asymp. the significant value is 0.000 < 0.05, then the Ha (alternative hypothesis) is accepted and the Ho (null hypothesis) is rejected. Male students have lower self-control than female students. Male students tend to have a moderate level of self-control around 21 (70%) and female students tend to have a high level of self-control around 21 (70%).

The growth of the internet has influenced the tourism industry because the internet makes it easier for individuals to obtain reviews about places to visit and because the internet is a tool used by tourist site managers to assess the quality of their offerings. The increase in the number of tourists of almost two million in just three years in West Sumba is proof of this influence. Social media is a tool that people use to interact with each other online; some people have multiple accounts on platforms such as Instagram, WhatsApp, Facebook, Telegram, Twitter, and so on. Tourists can receive recommendations for tourist attractions based on price and type of trip desired through a tourist attraction recommendation system that uses the KNN algorithm. Three factors were used in this research: activity, type of tourism, and type of price. An accuracy of 63.16% is found in the test results using the KNN algorithm and the Rapid Miner application with a K value of 5. The analysis results show that the K-Nearest Neighbor (K-NN) approach can be used as a guideline for recommending tourist destinations to visitors in West Sumba.

This study investigates the pragmatic strategies employed in digital communication, specifically within social media platforms. As the use of social media continues to rise, understanding how users navigate language and meaning in these contexts becomes increasingly vital. Utilizing a qualitative approach, the research analyzes user interactions on platforms such as Twitter, Instagram, and Facebook to identify key pragmatic strategies, including politeness, implicature, and contextual cues. The findings reveal that social media users employ diverse strategies to convey messages effectively in an environment characterized by brevity and immediacy. Additionally, the research highlights significant cultural influences on language use, showcasing variations in communication styles, humour, and politeness norms across different cultural backgrounds. These insights underscore the importance of cultural awareness in fostering effective cross-cultural communication. Ultimately, this research contributes to the field of pragmatics by enhancing our understanding of the interplay between language, culture, and digital communication. The study also offers practical recommendations for social media users to improve their communication effectiveness, facilitating more respectful and meaningful interactions in the digital space. As digital communication evolves, further exploration of emerging trends and challenges in this area is essential for adapting to the dynamic landscape of human interaction.

This paper concerns the analysis of New Word Found on Twitter Using the Process of Word-Formation. The aim of this study is to analyze word-formation on words that have just appeared on social media, especially Twitter. The research used in this analysis is a qualitative research method. Source of research data in the study came from the Twitter app found in captions, comment fields, and retweet quotes. When collecting the data, the researchers used several steps, first searched the data in the Twitter app from captions, comment fields, and retweet quotes. Then, collect data containing word formation and classify the data by type. The data is collected and researchers analyze the type and process of word-formation. The results of this study indicate that there are 5 types of word-formation processes found on Twitter. They were derivation, abbreviation, blending, acronyms, and clipping. Of these types, abbreviations were the most common word-formation on Twitter.

Adolescent health, especially reproductive and sexual health, is important for achieving sustainable development. The environment in which adolescents grow up today continues to change rapidly along with the rapid growth of the technology and information sector. With increasing activity on social media platforms such as Instagram, Facebook, Twitter, and YouTube, adolescents are increasingly exposed to information that can trigger risky behavior (Steinberg, 2019). Adolescents' unpreparedness in facing these changes can lead to various negative behaviors. Reproductive health education is very important to be given to children as early as possible so that children avoid various problems and juvenile delinquency that arise due to a lack of understanding of reproductive health (Tedju, 2019). The purpose of this community service activity is to increase adolescent knowledge, especially about reproductive health. The activity was carried out in Pengkadan District, Kapuas Hulu Regency. Educational activities in the form of counseling using poster media. The counseling was attended by 30 people. In community service, the counseling method was used through poster media for adolescents, then assessed using pre-tests and post-tests to determine whether there was an increase in reproductive health knowledge. The results of Community Service showed an increase in reproductive health knowledge in adolescents after being given counseling.

Twitter has become a social media that is widely used to communicate, communicate information, obtain information, and is often used as a place to discuss issues such as the Israeli-Palestinian conflict. The @erlanishere account is one of the humanitarian activists who regularly posts about the Palestinian situation. The stories presented not only provide information, but also arouse the emotions of the public and raise awareness and solidarity with the suffering of the Palestinian people. So this account is appointed as the Commander of the Netizen Julid Anti-Israeli Special Operations Unit. Only by using the tag, @erlanishere can coordinate netizens to voice the Israeli conflict in Gaza. In this way, the information can spread to netizens throughout Indonesia. The research into @erlanishere's account aims to understand the narrative of Israeli atrocities in Palestine and their impact on public perceptions. Using the critical discourse analysis method by Teun A.Van Dijk, the results of the research on this @erlanishere account were, able to mobilize public support and sympathy for Palestine, through the use of emotional language, visualizing violence, and presenting critical facts about Israeli actions.    

The policy for using the MyPertamina application issued does not rule out the possibility of differences of opinion due to changes in the policy. There are many positive, neutral, and negative responses to the MyPertamina application implementation policy. To see the public's reaction to the MyPertamina application implementation policy, it can be seen through various media, including social media. Twitter is a social network that is widely used by people in Indonesia. The number of Twitter users in Indonesia reached 18.45 million in 2022, making Indonesia the fifth largest Twitter user country in the world. Researchers conducted a sentiment analysis of the search results for tweets containing the keyword "MyPertamina" using the support vector machine algorithm. 382 tweet data were obtained and classified using the support vector machine algorithm. Support vector machine is a supervised learning algorithm for data classification. SVM is very fast and effective in solving text data problems. Text data is suitable for classification with the SVM algorithm because the basic nature of text tends to be high-dimensional. Of the 382 data analyzed, the support vector machine classification using the RBF kernel with parameter C=2 gave the highest accuracy value of 80.51%, precision value of 81%, recall value of 81%, and F1 score value of 80%.

The land title (in Indonesian: sertipikat) is a legal product issued by the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency, while “sertifikat” (spelled with 'f' instead of 'p'), which is the standard term according to KBBI (Indonesian Dictionary). The number of social media users increases every year, resulting in a growing amount of data generated. Big data derived from social media can encompass public perception or societal behaviors. The significant benefits derived from social media analytics provide opportunities to explore and analyze data sources within social media. This study analyzes data from the social media platforms Twitter, Facebook, and Instagram to determine common terms used by the public regarding "sertipikat tanah" (land certificate) and "sertifikat tanah" (land certificate). These platforms were chosen because they provide open data. The use of uncommon terms among the public potentially hinders the government's intended objectives. The final results indicate that despite "sertipikat" being the official legal term, the public is more accustomed to using "sertifikat tanah." The comparison of usage between "sertipikat tanah" and "sertifikat tanah" on Facebook is 11% : 89%, on Instagram 38% : 62%, and on Twitter 70% : 30%, with the majority of "sertipikat tanah" usage on Twitter originating from government accounts.

Universities as institutions providing educational services must be able to adapt to this. Currently, there are many universities that use social media, but not many universities can make optimal use of social media. Promotion is something that every company must do. The main thing in promotion is to create a persuasive message that is effective to attract the attention of consumers. The use of social media for prospective new students. This study aims to decipher the influence of social media use on the number of new students. This research is a quantitative descriptive research. The sample was taken from users of 9 digital platforms Youtube, Facebook, Tik Tok, Instagram, Twitter, Sportify, ClubHouse, Pintrest and Linkedin. Based on the results of the research, the use of digital platforms to increase the number of university students is increasing. This paper seeks to outline how the trend of social media use in universities, what social media platforms can be used in universities and how social informatics is the use of digital social media platforms for universities. 

Islamic da'wah in the era of digital technology has undergone a major transformation with the presence of social media platforms such as Twitter, Instagram, and Facebook. Muhammadiyah, as one of the largest Islamic organizations in Indonesia, seeks to optimize digital media to spread Wasathiyah Islamic values more widely and quickly. The main challenge in digital da'wah is to ensure that the information conveyed remains accurate and does not cause misinformation. Haedar Nashir, Chairman of Muhammadiyah, emphasized the importance of combining fiqh on social media with public ethics, as well as involving the younger generation in digital da'wah to ensure that the message of da'wah remains relevant and acceptable to various levels of society. With an innovative and responsive strategy, Muhammadiyah da'wah is expected to be able to answer the challenges of the times while maintaining Islamic principles in facing the era of disruption.

This article discusses the use of language in communication, specifically focusing on the concept of pragmatics and expanding it to understanding the meaning behind words. This highlights the importance of considering the context in which language is used, as well as the intention of the speaker, to fully understand the message conveyed. This article aims to describe illocutionary speech acts in tweets on the Twitter account of vice presidential candidate Gibran Rakabuming Raka during the 2024 presidential election contestation campaign. This research is a type of qualitative descriptive research, with data in the form of tweets. This research shows the existence of illocutionary speech acts in several tweets on the Twitter account @gibran_tweet. The data collection technique in this research uses the note-taking technique. The research results found that there were 26 illocutionary speech acts with details of 7 assertive speech acts, 5 directive speech acts, 4 expressive speech acts, 6 commissive speech acts, and 4 expressive speech acts. The benefits of this research can be used as a reference for further relevant research.    

Innovation in Hajj and Umrah management through the use of social media holds significant potential to enhance service efficiency and quality. Social media platforms like Facebook, Instagram, Twitter, and WhatsApp can be used to quickly and accurately provide education and information to pilgrims. Organizers can deliver guidelines, health tips, and real-time updates about conditions in the holy land, and respond to pilgrims' questions and complaints more efficiently. This research explores how social media can be integrated into Hajj and Umrah management to improve service quality and risk management, focusing on the role of social media in education, responsiveness, and risk management. The findings indicate that social media is effective in disseminating information and enhancing interaction between organizers and pilgrims, though challenges exist in technology access gaps and the risk of spreading inaccurate information.    

Pada tahun 2024, Indonesia akan menyelenggarakan pemilihan umum serentak yang meliputi pemilihan presiden dan pemilihan wakil rakyat di seluruh Indonesia. Masyarakat menanggapi kejadian ini dengan perasaan campur aduk, membagikan pemikirannya di situs media sosial seperti Twitter. Penelitian analisis sentimen calon presiden Indonesia tahun 2024 dilakukan terkait peristiwa ini. Sebanyak 1458 tweet digunakan dalam penelitian ini. Dengan 40,31% responden menyatakan sikap positif dan 43,46% menyatakan sentimen negatif, temuan analisis menunjukkan keseimbangan antara kedua sentimen tersebut. Menggunakan frasa "calon presiden," program Python di situs web Google Colab mengambil data twitter. Pendekatan K-Nearest Neighbor digunakan dalam proses klasifikasi. Selain itu data latih dibagi 6 : 4. 40% data uji dan 60% data latih. Nilai evaluasi yang diperoleh dari pengujian model dengan teknik K-Nearest Neighbor adalah akurasi sebesar 90,95%, presisi sebesar 62,17%, recall sebesar 62,33%, dan F-Measure sebesar 61,87%.

According to the Jakarta Air Quality Index (AQI US) 12 July 2023, 200 indicates unhealthy air quality with an index value between 151 and 200. This figure even shows that Jakarta is currently the second most polluted city in Southeast Asia. (CNN Indonesia., 2023). This incident gave rise to responses from the public which were expressed via social media Twitter. From this incident, sentiment analysis was carried out regarding Jakarta's air quality. The amount of data used for this research was 500 tweet data. The results of the positive and negative sentiment analysis show that negative sentiment appears more frequently than positive sentiment with a percentage of 7% positive sentiment and 14% negative sentiment, by using the Rstudio application. This method uses the naïve Bayes classifier. Data division in the dataset with training data 1:499 and test data 1:476. It was found that the results of the Accuracy, Precision, Recall, and F1-Score values were Accuracy 87.50%, Precision 87.50 Recall 93.33%, and F1-Score 82.35%.       

In running a company, there will definitely be positive and negative responses expressed by the public. Especially if the company often comes into contact with the community. One company that often comes into contact with the public is a company that operates in the field of goods delivery services. Of course, conditions that require goods delivery services to have direct contact with the public will result in a lot of news about goods delivery services. In order to analyze this news, researchers carried out media monitoring of one of the goods delivery service companies in Indonesia, namely, Anteraja. Media monitoring is a media management activity whose aim is to obtain information related to agencies or companies regarding public reactions to the messages conveyed. Monitoring is carried out by looking for news or information about company developments in the media. This activity was carried out to find out how much influence the news published has and the impact of the resulting news in the form of positive or negative sentiment expressed in the media. In this research, researchers carried out media monitoring of Anteraja using the Ripple10 tool with three steps, namely; (1) Inductive analysis to identify appropriate problems, (2) Data tracking and preparation, and (3) Sentiment analysis.    

The research aims to explore the effects of using social media in second language learning. In today’s digital era, social media has become a significant tool in various aspect of life, including education. This research uses qualitative  methods with in-depth interviews and observations to collect data from 30 high school (high school) student who are learning a second language through social media platforms such as Instagram, twitter, ticktock, and YouTube.The result of the study showed that the use of social media in second language learning had a positive impact on the participants communication skills. Social media allows access to a variety of authentic sources and the opportunity to interact with native speakers, which in turn improves language skills significantly. In addition, participants increased motivating and confidence in using the second language.