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- W4328005907 abstract "In recent years, live streaming has become a popular leisure activity for many people, and the main income of live streamers comes from virtual gifts sent by the viewers on the online platforms. In live streaming rooms hosted on the online platforms, viewers can send danmaku, i.e., broadcasting messages, in the chat channels, and can purchase and send virtual gifts to the streamers. And, the value of virtual gifts sent by the viewers directly affects the streamers' income. However, only a few studies focused on the connection between the danmaku information and the viewers' gifting behaviors. Different from traditional video reviews, danmaku makes it easier for the viewers to see the comments and responses from other viewers, and thus enables the more convenient communication between the viewers. At the same time, the viewers can be easily influenced by danmaku information sent by other viewers through the live streaming chat channels. It is thus reasonable to assume that the gift sending behaviors are closely related to the danmaku information. This study aims to explore how danmaku data can be used to predict the gifting behaviors of viewers. In this research, we collected over 9.5 million danmaku data from 500 live streaming rooms on Douyu.com platform. Specifically, we proposed a novel model that integrates multiple types of semantic information from danmaku, including sentiment, topics, as well as information on the viewers, and used these information to predict the value of virtual gifts sent by the viewers. The results showed that the gifting behaviors of viewers can be well predicted with the feature variables extracted from the danmaku data." @default.
- W4328005907 created "2023-03-22" @default.
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- W4328005907 date "2022-08-01" @default.
- W4328005907 modified "2023-09-26" @default.
- W4328005907 title "Predicting Virtual Gifting Behaviors in Live Streaming Using Danmaku Information" @default.
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- W4328005907 doi "https://doi.org/10.1109/bigcom57025.2022.00032" @default.
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