Information Behavior on Social Live Streaming Services

Scheibe, Katrin; Fietkiewicz, Kaja J.; Stock, Wolfgang G.

doi:10.1633/jistap.2016.4.2.1

Cited by 135 publications

(115 citation statements)

References 20 publications

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“…While interactive communication between broadcasters and viewers was impossible in traditional broadcasting networks, it is possible in real-time on live-streaming services on a wireless network [9,10]. Live streaming enables direct communication between streamers and viewers and aims to exploit interactivity among viewers [11].…”

Section: Live-streaming Servicementioning

confidence: 99%

Factors Affecting the Popularity of Video Content on Live-Streaming Services: Focusing on V Live, the South Korean Live-Streaming Service

Ham

Lee

2020

Sustainability

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Naver V Live, a South Korean live-streaming service, showcases video contents specific to the entertainment industry, such as K-pop and music. On V Live, K-pop stars and their fans can interact directly in a natural way, and V Live provides high-quality video content with novel topics. This study has identified key characteristics of video content that affect its popularity. A total of 620 video contents of five leading Star channels were classified on the basis of production company, type of video content, and whether it was live-streamed or not. The popularity of video content was measured by the number of comments, hearts, and views. To control potential bias, additional variables were set as control variables—such as the number of channel subscribers, mini-album sales, if the video content was previewed, and cumulative number of days since the video content was uploaded. For analysis, a hierarchical linear regression was conducted. The findings suggest future directions in video content planning.

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Section: Live-streaming Servicementioning

confidence: 99%

Factors Affecting the Popularity of Video Content on Live-Streaming Services: Focusing on V Live, the South Korean Live-Streaming Service

Ham

Lee

2020

Sustainability

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“…Other work explored the demographics of users on live streaming services and what makes such stream engaging. Scheibe et al [28] analyzed information production and reception behavior on YouNow, revealing that YouNow streams were mostly made by adolescents for adolescents. Lottridge et al [18] studied the live streaming practices and motivations of teens, highlighting that teens were streaming like taking a long-form selfie, showing one's self and life, to engage with small group of friends.…”

Section: General Live Streamingmentioning

confidence: 99%

You Watch, You Give, and You Engage

Xia

Heo

et al. 2018

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

231

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Despite gaining traction in North America, live streaming has not reached the popularity it has in China, where livestreaming has a tremendous impact on the social behaviors of users. To better understand this socio-technological phenomenon, we conducted a mixed methods study of live streaming practices in China. We present the results of an online survey of 527 live streaming users, focusing on their broadcasting or viewing practices and the experiences they find most engaging. We also interviewed 14 active users to explore their motivations and experiences. Our data revealed the different categories of content that was broadcasted and how varying aspects of this content engaged viewers. We also gained insight into the role reward systems and fan group-chat play in engaging users, while also finding evidence that both viewers and streamers desire deeper channels and mechanisms for interaction in addition to the commenting, gifting, and fan groups that are available today.

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“…Having access to a large dataset of Inke, a Chinese SLSS, [10] identified several patterns in the users, e.g., fast interest shifts, user dedication to broadcasters as well as the locality bonds between users. 3 https://github.com/nlykousas/asonam2018. [11] analyzed traffic patterns and user characteristics of YouNow.…”

Section: A Social Live Streaming Servicesmentioning

confidence: 99%

Adult Content in Social Live Streaming Services: Characterizing Deviant Users and Relationships

Lykousas

Patsakis

Gómez

2018

2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

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Social Live Stream Services (SLSS) exploit a new level of social interaction. One of the main challenges in these services is how to detect and prevent deviant behaviors that violate community guidelines. In this work, we focus on adult content production and consumption in two widely used SLSS, namely Live.me and Loops Live, which have millions of users producing massive amounts of video content on a daily basis. We use a pre-trained deep learning model to identify broadcasters of adult content. Our results indicate that moderation systems in place are highly ineffective in suspending the accounts of such users. We create two large datasets by crawling the social graphs of these platforms, which we analyze to identify characterizing traits of adult content producers and consumers, and discover interesting patterns of relationships among them, evident in both networks.

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Information Behavior on Social Live Streaming Services

Cited by 135 publications

References 20 publications

Factors Affecting the Popularity of Video Content on Live-Streaming Services: Focusing on V Live, the South Korean Live-Streaming Service

Factors Affecting the Popularity of Video Content on Live-Streaming Services: Focusing on V Live, the South Korean Live-Streaming Service

You Watch, You Give, and You Engage

Adult Content in Social Live Streaming Services: Characterizing Deviant Users and Relationships

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