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Is Danmaku an Effective Way for Promoting Event based Social Network?

Authors:

Li Xu,

Xiaofeng GaoAuthors Info & Claims

CSCW '17 Companion: Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

Pages 319 - 322

https://doi.org/10.1145/3022198.3026347

Published: 25 February 2017 Publication History

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Abstract

Recently, a new type of social network called event-based social network(EBSN) is emerging to promote real-time online to offline social interactions. On the other hand, Danmaku (Danmu) is becoming increasingly popular on video sharing sites in Asia. Danmu creates a one to many social experiences suitable for EBSNs. It enables real-time commentary and serves as a valuable source for further analyzing social networks. In this poster, we use Danmu to create real-time online to offline event based social network. A method for analyzing user's activity via Danmu is proposed. Finally, we conclude that Danmu is effective in promoting EBSN by presenting the results of analyzing Danmu contents gathered by a social network App called "USee" on three social events.

References

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Chen, Y., Gao, Q. and Rau, P.L.P. 2015. Understanding Gratifications of Watching Danmaku Videos-Videos with Overlaid Comments. In International Conference on Cross-Cultural Design 153--163. a. UPD of a new student welcome soiree S1 b. UPD of a new student welcome soiree S2 c. UPD of a graduation soiree S3 Figure 5: UPD Charts of three events. Each Chart has four lines of UPD generated by Top K (10,30,50 and 100) keywords.

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Cited By

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Guan ZZhang PGu HLu TLiu BGu N(2024)JargonFM: A Framework With Multiple Interpretation Modes for Jargon Understanding in Online CommunitiesIEEE Transactions on Computational Social Systems10.1109/TCSS.2023.328167411:2(1853-1864)Online publication date: Apr-2024
https://doi.org/10.1109/TCSS.2023.3281674
Tang YZhang H(2023)Fine-Grained Sentiment Analysis of Online-Offline Danmaku Based on CNN and AttentionComputer Supported Cooperative Work and Social Computing10.1007/978-981-99-2356-4_16(194-206)Online publication date: 13-May-2023
https://doi.org/10.1007/978-981-99-2356-4_16
Zhang XCao GZhang XCao G(2021)Related WorkEvent Attendance Prediction in Social Networks10.1007/978-3-030-89262-3_2(5-10)Online publication date: 24-Sep-2021
https://doi.org/10.1007/978-3-030-89262-3_2
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Index Terms

Is Danmaku an Effective Way for Promoting Event based Social Network?
1. Human-centered computing
  1. Collaborative and social computing

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Published In

CSCW '17 Companion: Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

February 2017

472 pages

ISBN:9781450346887

DOI:10.1145/3022198

General Chairs:
Charlotte P. Lee
University of Washington
,
Steve Poltrock
Retired
,
Program Chairs:
Louise Barkhuus
Stockholm University and Cornell Tech
,
Marcos Borges
Universidade Federal do Rio de Janeiro
,
Wendy Kellogg
IBM T.J. Watson Research Center

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 25 February 2017

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Science and Technology Department of Jiangsu Province

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CSCW '17

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SIGCHI

CSCW '17: Computer Supported Cooperative Work and Social Computing

February 25 - March 1, 2017

Oregon, Portland, USA

Acceptance Rates

CSCW '17 Companion Paper Acceptance Rate 183 of 530 submissions, 35%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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CSCW '25

Sponsor:
sigchi

Computer-Supported Cooperative Work and Social Computing

October 18 - 22, 2025

Bergen , Norway

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Guan ZZhang PGu HLu TLiu BGu N(2024)JargonFM: A Framework With Multiple Interpretation Modes for Jargon Understanding in Online CommunitiesIEEE Transactions on Computational Social Systems10.1109/TCSS.2023.328167411:2(1853-1864)Online publication date: Apr-2024
https://doi.org/10.1109/TCSS.2023.3281674
Tang YZhang H(2023)Fine-Grained Sentiment Analysis of Online-Offline Danmaku Based on CNN and AttentionComputer Supported Cooperative Work and Social Computing10.1007/978-981-99-2356-4_16(194-206)Online publication date: 13-May-2023
https://doi.org/10.1007/978-981-99-2356-4_16
Zhang XCao GZhang XCao G(2021)Related WorkEvent Attendance Prediction in Social Networks10.1007/978-3-030-89262-3_2(5-10)Online publication date: 24-Sep-2021
https://doi.org/10.1007/978-3-030-89262-3_2
YANG B(2020)Learning Alone yet Together: An Exploratory Study of the Interaction through Online Danmaku Videos2020 IEEE Learning With MOOCS (LWMOOCS)10.1109/LWMOOCS50143.2020.9234326(100-104)Online publication date: 29-Sep-2020
https://doi.org/10.1109/LWMOOCS50143.2020.9234326
Wu QSang YHuang Y(2019)DanmakuACM Transactions on Social Computing10.1145/33294852:2(1-24)Online publication date: 20-Jun-2019
https://dl.acm.org/doi/10.1145/3329485
Bai QHu QGe LHe L(2019)Stories That Big Danmaku Data Can Tell as a New MediaIEEE Access10.1109/ACCESS.2019.29090547(53509-53519)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2909054
Wu QSang YZhang SHuang YForte APrilla MVivacqua AMüller CRobert L(2018)Danmaku vs. Forum CommentsProceedings of the 2018 ACM International Conference on Supporting Group Work10.1145/3148330.3148344(209-218)Online publication date: 7-Jan-2018
https://dl.acm.org/doi/10.1145/3148330.3148344
Sun YLi JZhen YTang YHu QHe L(2018)USee: An Online-Offline Hybird Danmaku Social System2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD))10.1109/CSCWD.2018.8465286(253-258)Online publication date: May-2018
https://doi.org/10.1109/CSCWD.2018.8465286

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