18. Supporting Children and Teens Socialization

From Adolescents' Eyes: Assessing an Indicator-Based Intervention to Combat Misinformation on TikTok
説明

Misinformation poses a recurrent challenge for video-sharing platforms (VSPs) like TikTok. Obtaining user perspectives on digital interventions addressing the need for transparency (e.g., through indicators) is essential.

This article offers a thorough examination of the comprehensibility, usefulness, and limitations of an indicator-based intervention from an adolescents' perspective.

This study (N=39; aged 13-16 years) comprised two qualitative steps: (1) focus group discussions and (2) think-aloud sessions, where participants engaged with a smartphone-app for TikTok.

The results offer new insights into how video-based indicators can assist adolescents' assessments. The intervention received positive feedback, especially for its transparency, and could be applicable to new content. This paper sheds light on how adolescents are expected to be experts while also being prone to video-based misinformation, with limited understanding of an intervention's limitations.

By adopting teenagers' perspectives, we contribute to HCI research and provide new insights into the chances and limitations of interventions for VSPs.

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For Me or Not for Me? The Ease With Which Teens Navigate Accurate and Inaccurate Personalized Social Media Content
説明

Social media apps present personalized content to users. Such content is often described as "for you,'' raising questions about the relationship between users' sense of "self'' and the "you'' that is represented. Answering such questions is pressing in the case of teen users whose identities are still forming. Thus we ask, "What do teens think about the relationship between personalized content and their sense of self?'' We interviewed teens aged 13 to 17 (n = 15) about their experiences with personalized content on social media. Participants so routinely saw themselves accurately reflected in personalized content that they noted the occasional inaccuracy with surprise, while simply scrolling past it. Our findings point to: the normalization of data doubles in the form of personalized content; and teens' indifference to inaccuracies presented by such data doubles.

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Wrist-bound Guanxi, Jiazu, and Kuolie: Unpacking Chinese Adolescent Smartwatch-Mediated Socialization
説明

Adolescent peer relationships, essential for their development, are increasingly mediated by digital technologies. As this trend continues, wearable devices, especially smartwatches tailored for adolescents, is reshaping their socialization. In China, smartwatches like XTC have gained wide popularity, introducing unique features such as "Bump-to-Connect'' and exclusive social platforms. Nonetheless, how these devices influence adolescents' peer experience remains unknown. Addressing this, we interviewed 18 Chinese adolescents (age: 11---16), discovering a smartwatch-mediated social ecosystem. Our findings highlight the ice-breaking role of smartwatches in friendship initiation and their use for secret messaging with local peers. Within the online smartwatch community, peer status is determined by likes and visibility, leading to diverse pursuit activities (eg., chu guanxi, jiazu, kuolie) and negative social dynamics. We discuss the core affordances of smartwatches and Chinese cultural factors that influence adolescent social behavior, and offer implications for designing future wearables that responsibly and safely support adolescent socialization.

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ChaCha: Leveraging Large Language Models to Prompt Children to Share Their Emotions about Personal Events
説明

Children typically learn to identify and express their emotions by sharing stories and feelings with others, particularly family members. However, it is challenging for parents or siblings to have effective emotion communication with children since children are still developing their communication skills. We present ChaCha, a chatbot that encourages and guides children to share personal events and associated emotions. ChaCha combines a state machine and large language models (LLMs) to keep the dialogue on track while carrying on free-form conversations. Through an exploratory study with 20 children (aged 8-12), we examine how ChaCha prompts children to share personal events and guides them to describe associated emotions. Participants perceived ChaCha as a close friend and shared their stories on various topics, such as family trips and personal achievements. Based on the findings, we discuss opportunities for leveraging LLMs to design child-friendly chatbots to support children in sharing emotions.

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‘A Teaspoon of Authenticity’: Exploring How Young Adults BeReal on Social Media
説明

BeReal is the latest social media platform to tout itself as a more authentic space for connection. The app notifies users at a random time each day and gives users two minutes to post an image from their smartphone’s front- and back-facing cameras. While prior work has theorized authenticity on social media and studied how various user populations enact authenticity, more research is needed to understand whether and how specific design features afford authenticity. We conducted a walkthrough of the BeReal app and interviewed 31 young adults about their experiences on BeReal. We found that participants approached authenticity in two ways—as extemporaneous interaction and as comprehensive self-presentation—and that BeReal harnesses the affordances of visibility, editability, availability, and persistence in a way that enables the former more than the latter. Based on our findings, we offer four recommendations for designers and researchers who seek to support authenticity online.

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