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.
@cite_27: The arising knowledge society seems to produce its own digital services. In the last few years, with social live streaming services a new type of synchronous social media emerged. What functions do such services offer? What information need and information behavior do users of this services exhibit? Method: As a heuristic theoretical basis, the Information Service Evaluation ISE model was applied to analyze YouNow as a case study of this kind of new social media. The evaluation is based on an online-survey among YouNow's users as well as observations of the live-streams. Results. YouNow is mainly used by adolescents and young adults. For this group, it is important to interact with friends, be a part of the community and find ways of self-expression. This is exactly what YouNow offers its users. Most of them enjoy the functions of the service. The experience of "flow" was sometimes perceived. Possible law infringements such as copyright and personality rights violations were detected.
@cite_4: In the last few years, a new type of synchronous social networking services (SNSs) has emerged—social live streaming services (SLSSs). Studying SLSSs is a new and exciting research field in information science. What information behaviors do users of live streaming platforms exhibit? In our empirical study we analyzed information production behavior (i.e., broadcasting) as well as information reception behavior (watching streams and commenting on them). We conducted two quantitative investigations, namely an online survey with YouNow users (N
In SLSS users are able to stream their own live shows in real time as broadcasters, and to join the live shows of other users as viewers audience. The audience is able to interact with the streamers through a chat and reward them with virtual rewards, e.g., points, gifts, badges (some of which are purchasable), or money. Also, various SLSS give broadcasters the opportunity to monetize part of the virtual gifts they receive from the audience during their brαodcasts. Users of SLSS employ their own mobile devices (e.g. smartphones, tablets) or their PCs and webcams for broadcasting. In contrast to other social media, SLSS are mostly synchronous @cite_4 @cite_27 , but they can also support asynchronous interactions between users, like direct messages and comments on broadcast video replays.