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Twitter is a social media that provides information for its users. Interactions on Twitter may increase the amount of data from its users. Business development cannot be separated from product competition between business actors. One way for companies to win the competition is to know the purchasing power of customers. A product's selling power can be known one way or another through user interaction on Twitter. User-generated content (UGC) results from data on Twitter. UGC data can be used to determine the product supply scheme taken by laptop products in this study. The method used to analyze the interaction is Social Network Analysis (SNA) by comparing the properties of the network. Social network modeling on UGC data was carried out on three laptops: Lenovo v14, Asus ZenBook S, and Acer Swift 3. From the graph visualization, it was found that Acer excels in two properties, namely "Size" and "Average Degree." Meanwhile, the Asus ZenBook S dominates the "Modularity" property.

One of the digital media frequently used by business practitioners for promotion is Instagram. Instagram is utilized as a promotional medium due to its more appealing interface compared to Facebook or Twitter. Instagram is an application for capturing, editing, and sharing photos within the Instagram user community. The research was conducted using a descriptive quantitative approach. Research data was collected through a questionnaire distributed randomly to 99 respondents who were followers of the "Fanaya Catering" social media account. The research results indicate that the use of social media has a positive impact on increasing the sales revenue of catering products.

The Halal Product Assurance Agency (BPJPH) is an agency under the auspices of the Ministry of Religion with the task of ensuring the halalness of products in Indonesia. BPJPH has become a public concern after establishing the new halal logo. On February 10, 2022 the new halal logo was ratified by the Head of BPJPH, Muhammad Aqil Irham. This has become a topic of public discussion either directly or through social media, one of which is social media twitter. The number of opinion tweets about the change of the halal logo can be used as a data source to obtain information about public opinion on the change of the halal logo through sentiment analysis. Sentiment analysis can be done by machine learning approach, one of these is the SVM algorithm . In this research, oversampling and undersampling are applied to handle data that has an unbalanced sentiment class. The results showed that the Support Vector Machine (SVM) model using oversampling training data got the highest accuracy, recall, precision, and f1-score, namely 71% accuracy, 67% precision, 61% recall, and 61% f1-score while training using undersampling training data has the lowest performance, namely getting 56% accuracy, 51% precision, 57% recall, and 52% f1-score.

The current development of internet technology around the world is increasingly sophisticated, all levels of society can enjoy the benefits of this internet. The existence of social media has now become a primary need that cannot be separated from human life. The presence of increasingly diverse social media has become a place for young K-Pop fans to cyberbully on various applications, one of which is Twitter. The selection of topics in this article aims to find out the motives or reasons behind these young K-Pop fans carrying out acts of cyberbullying. In research on this topic, the author will use qualitative methods by collecting non-participatory observational data and in-depth interviews with two informants, whom the author has traced and indeed indicated to be perpetrators of cyberbullying on social media Twitter. The results of the study found that the motives of young KPOP fans to carry out cyberbullying on Twitter social media were due to the nature of fanaticism towards idols, feeling annoyed and angry when they saw posts/tweets that vilified idols, jealousy or envy of other idol fans, lack of understanding of ethics and norms -norms of behavior on social media, and feel satisfied and happy if they feel they have won the debate.

In today's digital era, we often hear or see the use of slang words, both among teenagers and adults. We often find slang words on social media users, one of which is Twitter. The rapid development of communication technology in this digital era, so that social media is very easy to access, in general social media such as twitter most of its users are teenagers. In the end, it has a major influence on how to interact in social life both in cyberspace and the real world. Some experts state that the characteristics of the generation in the current era are different from the previous generation, one of the reasons is because the current generation was born and grew up in a modern environment and surrounded by digital technology. This study aims to identify the various forms of slang found in captions and comment columns on social media twitter.  The data in this study is in the form of slang words obtained by applying observation methods with screenshot and record techniques. The data sources used were @collegemenfess Twitter social media accounts and @kdrama_menfess. The results in this study are various forms of slang words in the form of (1) mager, (2) bucin, (3) baper, (4) gabut, (5) bm, (6) gaje, (7) gercep, (8) mode. The analysis showed mixed results, but most of the participants stated that they got slang words to interact with in social circles and obtained those slang words from memes and other social media. 

Penelitian ini membahas kajian sosilinguistik, tepatnya analisis penggunaan campur kode pada laman Twitter Collegemenfess. Laman Twitter ini merupakan salah satu auto base dengan pengikut terbanyak di Indonesia. Penelitian dilakukan dengan metode deskriptif kualitatif. Setelah dilakukan penelitian, ditemukan penggunaan campur kode pada cuitan di Collegemenfess. Data yang ditemukan berupa sepuluh campur kode ke luar dan lima campur kode ke dalam. Penggunaan campur kode yang ditemukan berupa kata dasar, frasa, istilah dan kalimat. Penggunaan campur kode ke luar yang ditemukan yakni pada bahasa Inggris, lalu penggunaan campur kode ke dalam ditemukan pada bahasa Jawa, Sunda, dan Medan. Dapat disimpulkan, pengguna auto base Collegemenfess dalam berinteraksi di Twitter sering kali menggunakan campur kode untuk menyampaikan maksudnya.