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Crowding Out the Crowd: The Transformation of Network Disaster Communication Patterns on Weibo

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Crowding Out the Crowd: The Transformation of Network Disaster Communication Patterns on Weibo. / Chen, Lixiong; Buscher, Monika; Hu, Yang.
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management. Blacksburg, VA: Virginia Tech, 2020. p. 472-479.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Chen, L, Buscher, M & Hu, Y 2020, Crowding Out the Crowd: The Transformation of Network Disaster Communication Patterns on Weibo. in ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management. Virginia Tech, Blacksburg, VA, pp. 472-479.

APA

Chen, L., Buscher, M., & Hu, Y. (2020). Crowding Out the Crowd: The Transformation of Network Disaster Communication Patterns on Weibo. In ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 472-479). Virginia Tech.

Vancouver

Chen L, Buscher M, Hu Y. Crowding Out the Crowd: The Transformation of Network Disaster Communication Patterns on Weibo. In ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management. Blacksburg, VA: Virginia Tech. 2020. p. 472-479

Author

Chen, Lixiong ; Buscher, Monika ; Hu, Yang. / Crowding Out the Crowd : The Transformation of Network Disaster Communication Patterns on Weibo. ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management. Blacksburg, VA : Virginia Tech, 2020. pp. 472-479

Bibtex

@inproceedings{28cf6cf5e33540e494922ea4118dcdb0,
title = "Crowding Out the Crowd: The Transformation of Network Disaster Communication Patterns on Weibo",
abstract = "There is a surge in people turning to social media in disasters in China. In the 2010 Yushu earthquake, 5,979 Weibos were posted. Almost 10 years on, in the 2019 Yibin earthquake it was 17,495. This study presents a Social Network Analysis of the dynamics of this growth, taking the six major Chinese earthquakes of this decade as a case study. By constructing relationship matrices, the research reveals a transformation of networked crisis communication patterns on Weibo. We show how communication relationships between verified organisational users, government agencies, verified individual users (such as celebrities) and unverified ordinary users have changed, and we observe that government agencies are {\textquoteleft}crowding out the crowd{\textquoteright} of other users. We consider key aspects and the ethical complexities of this phenomenon.",
keywords = "Weibo, transformation, crowding out, crisis communication, mobilities",
author = "Lixiong Chen and Monika Buscher and Yang Hu",
year = "2020",
month = jun,
day = "30",
language = "English",
isbn = "97819493732745",
pages = "472--479",
booktitle = "ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management",
publisher = "Virginia Tech",

}

RIS

TY - GEN

T1 - Crowding Out the Crowd

T2 - The Transformation of Network Disaster Communication Patterns on Weibo

AU - Chen, Lixiong

AU - Buscher, Monika

AU - Hu, Yang

PY - 2020/6/30

Y1 - 2020/6/30

N2 - There is a surge in people turning to social media in disasters in China. In the 2010 Yushu earthquake, 5,979 Weibos were posted. Almost 10 years on, in the 2019 Yibin earthquake it was 17,495. This study presents a Social Network Analysis of the dynamics of this growth, taking the six major Chinese earthquakes of this decade as a case study. By constructing relationship matrices, the research reveals a transformation of networked crisis communication patterns on Weibo. We show how communication relationships between verified organisational users, government agencies, verified individual users (such as celebrities) and unverified ordinary users have changed, and we observe that government agencies are ‘crowding out the crowd’ of other users. We consider key aspects and the ethical complexities of this phenomenon.

AB - There is a surge in people turning to social media in disasters in China. In the 2010 Yushu earthquake, 5,979 Weibos were posted. Almost 10 years on, in the 2019 Yibin earthquake it was 17,495. This study presents a Social Network Analysis of the dynamics of this growth, taking the six major Chinese earthquakes of this decade as a case study. By constructing relationship matrices, the research reveals a transformation of networked crisis communication patterns on Weibo. We show how communication relationships between verified organisational users, government agencies, verified individual users (such as celebrities) and unverified ordinary users have changed, and we observe that government agencies are ‘crowding out the crowd’ of other users. We consider key aspects and the ethical complexities of this phenomenon.

KW - Weibo

KW - transformation

KW - crowding out

KW - crisis communication

KW - mobilities

M3 - Conference contribution/Paper

SN - 97819493732745

SP - 472

EP - 479

BT - ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management

PB - Virginia Tech

CY - Blacksburg, VA

ER -