Search Results for « TikTok »

TikTok has been criticized for its low privacy standards, but little is known about how its adolescent users protect their privacy. Based on interviews with 54 adolescents in Switzerland, this study provides a comprehensive understanding of young TikTok users' privacy management practices related to the creation of videos. The data were explored using the COM-B model, an established behavioral analysis framework adapted for sociotechnical privacy research. Our overall findings are in line with previous research on other social networks: adolescents are aware of privacy related to their online social connections (social privacy) and perform conscious privacy management. However, we also identified new patterns related to the central role of algorithmic recommendations potentially relevant for other social networks. Adolescents are aware that TikTok's special algorithm, combined with the app's high prevalence among their peers, could easily put them in the spotlight. Some adolescents also reduce TikTok, which was originally conceived as a social network, to its extensive audio-visual capabilities and share TikToks via more private channels (e.g., Snapchat) to manage audiences and avoid identification by peers. Young users also find other creative ways to protect their privacy such as identifying stalkers or maintaining multiple user accounts with different privacy settings to establish granular audience management. Based on our findings, we propose various concrete measures to develop interventions that protect the privacy of adolescents on TikTok.

Social media platforms such as Facebook and Twitter are used for social activism purposes, and TikTok is no different. We conducted 9 qualitative semi-structured interviews with social activists who recently posted their videos on TikTok to understand. This study presents an initial look into why TikTok is used by social activists, and what processes they use to carry out this work. The interviews revealed the following main patterns: (1) content creation practices are typical and expected, (2) motivation and inspiration for posting social activist content comes from a wide range of personal sources, (3) social activism has communities on TikTok that provides encouragement and discussion, (4) engagement and interaction with other activists and viewers is a crucial part of content creation as well as social activism, and (5) the main driving force behind picking TikTok over other platforms is the ability to spread messages much farther with less effort. These findings provide insight into the unique factors that TikTok brings for social activists and corroborates previous findings in understanding how social activists use social media for their purposes.

TikTok is now a massive platform, and has a deep impact on global events. Despite preliminary studies, issues remain in determining fundamental characteristics of the platform. We develop a method to extract a representative sample of >99% of posts from a given time range on TikTok, and use it to collect all posts from a full hour on the platform, alongside all posts from a single minute from each hour of a day. Through this, we obtain post metadata, video media, and comments from a close-to-complete slice of TikTok, and report the critical statistics of the platform. Notably, we estimate a total of 269 million posts produced on the day we looked at, that 18% of videos on the platform feature children, and that at least 0.5% of posts contain artificial intelligence-generated content.

TikTok has skyrocketed in popularity over recent years, especially among younger audiences. However, there are public concerns about the potential of this platform to promote and amplify harmful content. This study presents the first systematic analysis of conspiracy theories on TikTok. By leveraging the official TikTok Research API we collect a longitudinal dataset of 1.5M videos shared in the U.S. over three years. We estimate a lower bound on the prevalence of conspiratorial videos (up to 1000 new videos per month) and evaluate the effects of TikTok's Creativity Program for monetization, observing an overall increase in video duration regardless of content. Lastly, we evaluate the capabilities of state-of-the-art open-weight Large Language Models to identify conspiracy theories from audio transcriptions of videos. While these models achieve high precision in detecting harmful content (up to 96%), their overall performance remains comparable to fine-tuned traditional models such as RoBERTa. Our findings suggest that Large Language Models can serve as an effective tool for supporting content moderation strategies aimed at reducing the spread of harmful content on TikTok.

Industri kopi khususnya bisnis coffee shop di Indonesia saat ini sedang mengalami peningkatan yang cukup signifikan, fenomena tersebut mendorong para pelaku usaha untuk melakukan komunikasi pemasaran dengan memanfaatkan setiap media komunikasi yang ada, seperti yang dilakukan oleh akun TikTok @fugolcoffeeroasters yang memanfaatkan konten TikTok sebagai alat komunikasi pemasaran. Penelitian ini bertujuan untuk menganalisis peran dari konten TikTok yang digunakan sebagai alat komunikasi pemasaran digital, studi kasus pada akun TikTok @fugolcoffeeroasters. Dengan menggunakan metode penelitian kualitatif deskriptif dan pendekatan analisis konten serta penggunaan model komunikasi pemasaran AIDA (Awareness, Interest, Desire) dalam proses analisisnya, sumber data dikumpulkan melalui konten TikTok pada akun @fugolcoffeeroasters yang dijadikan sebagai data primer dan data sekunder yang didapat melalui wawancara dengan informan yang telah membeli produk Fugol setelah melihat tayangan konten TikTok. Fugol Coffee Roasters merupakan brand yang bergerak pada industri kopi, produknya utamanya berupa biji kopi dan minuman yang berbahan dasar kopi. Hasil dari penelitian ini, menunjukkan bahwa konten TikTok berhasil dimanfaatkan sebagai alat komunikasi pemasaran dan mendorong audiens untuk melakukan pembelian produk setelah menonton tayangan TikTok pada akun @fugolcoffeeroasters.

TikTok currently is the fastest growing social media platform with over 1 billion active monthly users of which the majority is from generation Z. Arguably, its most important success driver is its recommendation system. Despite the importance of TikTok's algorithm to the platform's success and content distribution, little work has been done on the empirical analysis of the algorithm. Our work lays the foundation to fill this research gap. Using a sock-puppet audit methodology with a custom algorithm developed by us, we tested and analysed the effect of the language and location used to access TikTok, follow- and like-feature, as well as how the recommended content changes as a user watches certain posts longer than others. We provide evidence that all the tested factors influence the content recommended to TikTok users. Further, we identified that the follow-feature has the strongest influence, followed by the like-feature and video view rate. We also discuss the implications of our findings in the context of the formation of filter bubbles on TikTok and the proliferation of problematic content.

TikTok menjadi salah satu media sosial yang banyak digunakan untuk mengekspresikan diri, terutama melalui tren dance yang secara masif diikuti oleh para penggunanya. Salah satu akun yang menarik perhatian adalah @gana_buna, yang menampilkan konten dance anak laki-laki dan menimbulkan respon beragam dari audiens. Sebagian audiens menilai bahwa anak laki-laki tersebut memiliki bakat menari, sementara sebagian lainnya menilai gerakan yang ditampilkan terlalu luwes sehingga dianggap bertentangan dengan maskulinitas yang mereka pahami. Penelitian ini menggunakan pendekatan kualitatif dengan teori analisis resepsi Stuart Hall untuk melihat bagaimana audiens memaknai konten dance tersebut, melalui tiga kategori pembacaan: dominan-hegemonik, negosiasi, dan oposisi. Data penelitian diperoleh melalui wawancara mendalam dengan 10 pengguna TikTok. Hasil penelitian menunjukkan bahwa konten dance @gana _buna berkontribusi dalam membentuk persepsi audiens terkait identitas gender sang anak laki-laki. Namun demikian, sebagian besar audiens lebih memandang konten tersebut sebagai ruang ekspresi yang diciptakan oleh ibu sang anak untuk menyalurkan bakat dan hobinya, tanpa menghubungkannya dengan maskulinitas ataupun melihatnya sebagai bentuk penentangan terhadap maskulinitas.