Résultats de recherche pour « 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.

Este artículo aborda los usos que hacen las y los jóvenes de la aplicación móvil y red social de videos TikTok. Durante el aislamiento causado por la pandemia de COVID-19 se convirtió en la app más descargada y usada. A diferencia de Instagram, TikTok pone en acción a la juventud porque participan activamente de las tendencias que incluyen challenges de baile, actuaciones, tutoriales, entre otros. En esta plataforma coexisten distintos tipos de entretenimiento; sin embargo, su algoritmo secreto pone en duda si visibiliza en mayor medida a jóvenes que cumplen con ciertos estereotipos de belleza.

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.

In the international digital platform market, a handful of US companies enjoy immense cultural, economic and political power.The short form video platform TikTok provides significant competition to these US incumbents but so far policymakers have focused on the geopolitical implications of TikTok.This paper provides a content analysis of government and company sources, issued between April and August 2020, to systematically establish the geopolitics of the TikTok controversy.It is important to identify geopolitical motivations because they can obscure other factors relevant to platform politics, such as the value of competition in a highly concentrated international platform market.The paper concludes by outlining a research agenda for enhancing competition and avoiding the solidification of conventional geopolitical power dynamics in the international digital platform market.

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 (in Chinese: DouYin; formerly known as musical.ly) currently represents one of the most successful Chinese social media applications in the world. Since its founding in September 2016, TikTok has seen widespread distribution, in particular, attracting young users to engage in viewing, creating, and commenting on "LipSync-Videos" on the app. Despite its success in terms of user numbers, psychological studies aiming at an understanding of TikTok use are scarce. This narrative review provides a comprehensive overview on the small empirical literature available thus far. In particular, insights from uses and gratification theory in the realm of TikTok are highlighted, and we also discuss aspects of the TikTok platform design. Given the many unexplored research questions related to TikTok use, it is high time to strengthen research efforts to better understand TikTok use and whether certain aspects of its use result in detrimental behavioral effects. In light of user characteristics of the TikTok platform, this research is highly relevant because TikTok users are often adolescents and therefore from a group of potentially vulnerable individuals.

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.

As much as users and advertisers have flocked to it, TikTok has been a success. To this point, research on TikTok has been concerned with the nature of TikTok texts and the ways that laterally organized networks on TikTok have intermedia interface points. Instead of focusing on the text or the authors, this article argues that Raymond Williams concept of flow is critical for an initial characterization of a social media platform, proposing and implementing a Markov process model for critical media studies of the experience of TikTok flow. The result of this analysis challenges many commonly held ideas about what TikTok “is” and offers evidence that TikTok is television, not social media. We argue that this shift of perspective is important for advancing understanding of this platform.

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.

Social media is widely a common thing for everyday lives now, Even some people cannot live without it. One of the most downloaded applications in 2020 now is TikTok and they change the game in social media with its 15-60 duration videos. No wonder the impact it has on multiple sectors in the world. But can TikTok operate in the education sector? In this article, the writer will analyze Generation Z's behavior towards TikTok used as educational media and activism. The intervention methods used in this article are with literature review. Results found that TikTok can be used as a form of informal education and digital activism. Informal education, it is found that a model of learning and policy is needed to have its effect on activities. To conclude, social media usage in educational sectors is indeed beneficial, but it needs more further research and models for its applications in its activities.