TY - GEN
T1 - Will This Video Go Viral
T2 - 27th International World Wide Web, WWW 2018
AU - Kong, Quyu
AU - Rizoiu, Marian Andrei
AU - Wu, Siqi
AU - Xie, Lexing
N1 - Publisher Copyright:
© 2018 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC BY 4.0 License.
PY - 2018/4/23
Y1 - 2018/4/23
N2 - What makes content go viral Which videos become popular and why others don't Such questions have elicited significant attention from both researchers and industry, particularly in the context of online media. A range of models have been recently proposed to explain and predict popularity; however, there is a short supply of practical tools, accessible for regular users, that leverage these theoretical results. HIPie - an interactive visualization system - is created to fill this gap, by enabling users to reason about the virality and the popularity of online videos. It retrieves the metadata and the past popularity series of Youtube videos, it employs the Hawkes Intensity Process, a state-of-the-art online popularity model for explaining and predicting video popularity, and it presents videos comparatively in a series of interactive plots. This system will help both content consumers and content producers in a range of data-driven inquiries, such as to comparatively analyze videos and channels, to explain and to predict future popularity, to identify viral videos, and to estimate responses to online promotion.
AB - What makes content go viral Which videos become popular and why others don't Such questions have elicited significant attention from both researchers and industry, particularly in the context of online media. A range of models have been recently proposed to explain and predict popularity; however, there is a short supply of practical tools, accessible for regular users, that leverage these theoretical results. HIPie - an interactive visualization system - is created to fill this gap, by enabling users to reason about the virality and the popularity of online videos. It retrieves the metadata and the past popularity series of Youtube videos, it employs the Hawkes Intensity Process, a state-of-the-art online popularity model for explaining and predicting video popularity, and it presents videos comparatively in a series of interactive plots. This system will help both content consumers and content producers in a range of data-driven inquiries, such as to comparatively analyze videos and channels, to explain and to predict future popularity, to identify viral videos, and to estimate responses to online promotion.
KW - channel comparison
KW - identifying future popular videos
KW - interactive visualization
KW - popularity modeling
KW - promotion simulation
KW - video comparison
KW - youtube videos
UR - http://www.scopus.com/inward/record.url?scp=85063916256&partnerID=8YFLogxK
U2 - 10.1145/3184558.3186972
DO - 10.1145/3184558.3186972
M3 - Conference contribution
T3 - The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
SP - 175
EP - 178
BT - The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
PB - Association for Computing Machinery, Inc
Y2 - 23 April 2018 through 27 April 2018
ER -