Exploring Anti-rumor Behaviors in Mega Projects on Sina Weibo: A Text Mining Analysis

Chen Shen; Xiangyu Li

doi:10.1007/978-981-99-3626-7_128

Exploring Anti-rumor Behaviors in Mega Projects on Sina Weibo: A Text Mining Analysis

Chen Shen^*
, Xiangyu Li

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Conflicts caused by mega projects (MPs) always generate strong public opposition and pose significant threats to social harmony. Combined with ubiquitous online access, the spread of online rumors is unparalleled. However, rumor rebuttal on social media has been largely overlooked in engineering sociology. This study attempts a cross-disciplinary approach by crawling data related to anti-rumors of a representative MP from Sina Weibo to identify anti-rumor topics and online stakeholders, and investigates the effectiveness of anti-rumor strategies. The results suggest that the sentiment-based echo chamber effect is not significantly present in both participant and strategy networks. Anti-rumor messages of traditional media and elites are effective, while that of self-media are mainly ineffective. Meanwhile, anti-rumor strategies have different effectiveness in three frameworks. Refutation and guide strategies are effective in the assessment and risk perception framework, sarcastic and disbelief strategies are counterproductive in the risk perception and progress framework, while interrogatory strategy has opposite effects in the assessment and risk perception framework. This research can contribute to developing a systematic understanding of anti-rumor communication and provide recommendations for authorities to intervene social conflicts caused by MPs. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

Original language	English
Title of host publication	Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate
Editors	Jing Li, Weisheng Lu, Yi Peng, Hongping Yuan, Daikun Wang
Place of Publication	Singapore
Publisher	Springer
Pages	1660-1672
ISBN (Electronic)	978-981-99-3626-7
ISBN (Print)	978-981-99-3625-0
DOIs	https://doi.org/10.1007/978-981-99-3626-7_128
Publication status	Published - 2023
Event	27th International Symposium on Advancement of Construction Management and Real Estate (CRIOCM 2022) - Hybrid, Hong Kong, China Duration: 5 Dec 2022 → 6 Dec 2022 https://fac.arch.hku.hk/criocm/conference2022/ https://link.springer.com/book/10.1007/978-981-99-3626-7

Publication series

Name	Lecture Notes in Operations Research
ISSN (Print)	2731-040X
ISSN (Electronic)	2731-0418

Conference

Conference	27th International Symposium on Advancement of Construction Management and Real Estate (CRIOCM 2022)
Place	Hong Kong, China
Period	5/12/22 → 6/12/22
Internet address	https://fac.arch.hku.hk/criocm/conference2022/ https://link.springer.com/book/10.1007/978-981-99-3626-7

Research Keywords

anti-rumor
LDA
mega projects
social media
stakeholder
strategy

Access Output

10.1007/978-981-99-3626-7_128

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

Shen, C., & Li, X. (2023). Exploring Anti-rumor Behaviors in Mega Projects on Sina Weibo: A Text Mining Analysis. In J. Li, W. Lu, Y. Peng, H. Yuan, & D. Wang (Eds.), Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate (pp. 1660-1672). (Lecture Notes in Operations Research). Springer . https://doi.org/10.1007/978-981-99-3626-7_128

Shen, Chen ; Li, Xiangyu. / Exploring Anti-rumor Behaviors in Mega Projects on Sina Weibo : A Text Mining Analysis. Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate. editor / Jing Li ; Weisheng Lu ; Yi Peng ; Hongping Yuan ; Daikun Wang. Singapore : Springer , 2023. pp. 1660-1672 (Lecture Notes in Operations Research).

@inproceedings{50914d16d7194a9eba4b6bcfbae2cf13,

title = "Exploring Anti-rumor Behaviors in Mega Projects on Sina Weibo: A Text Mining Analysis",

abstract = "Conflicts caused by mega projects (MPs) always generate strong public opposition and pose significant threats to social harmony. Combined with ubiquitous online access, the spread of online rumors is unparalleled. However, rumor rebuttal on social media has been largely overlooked in engineering sociology. This study attempts a cross-disciplinary approach by crawling data related to anti-rumors of a representative MP from Sina Weibo to identify anti-rumor topics and online stakeholders, and investigates the effectiveness of anti-rumor strategies. The results suggest that the sentiment-based echo chamber effect is not significantly present in both participant and strategy networks. Anti-rumor messages of traditional media and elites are effective, while that of self-media are mainly ineffective. Meanwhile, anti-rumor strategies have different effectiveness in three frameworks. Refutation and guide strategies are effective in the assessment and risk perception framework, sarcastic and disbelief strategies are counterproductive in the risk perception and progress framework, while interrogatory strategy has opposite effects in the assessment and risk perception framework. This research can contribute to developing a systematic understanding of anti-rumor communication and provide recommendations for authorities to intervene social conflicts caused by MPs. {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.",

keywords = "anti-rumor, LDA, mega projects, social media, stakeholder, strategy",

author = "Chen Shen and Xiangyu Li",

year = "2023",

doi = "10.1007/978-981-99-3626-7\_128",

language = "English",

isbn = "978-981-99-3625-0",

series = "Lecture Notes in Operations Research",

publisher = "Springer ",

pages = "1660--1672",

editor = "Jing Li and Weisheng Lu and Yi Peng and Hongping Yuan and Daikun Wang",

booktitle = "Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate",

note = "27th International Symposium on Advancement of Construction Management and Real Estate (CRIOCM 2022) ; Conference date: 05-12-2022 Through 06-12-2022",

url = "https://fac.arch.hku.hk/criocm/conference2022/, https://link.springer.com/book/10.1007/978-981-99-3626-7",

}

Shen, C & Li, X 2023, Exploring Anti-rumor Behaviors in Mega Projects on Sina Weibo: A Text Mining Analysis. in J Li, W Lu, Y Peng, H Yuan & D Wang (eds), Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate. Lecture Notes in Operations Research, Springer , Singapore, pp. 1660-1672, 27th International Symposium on Advancement of Construction Management and Real Estate (CRIOCM 2022), Hong Kong, China, 5/12/22. https://doi.org/10.1007/978-981-99-3626-7_128

Exploring Anti-rumor Behaviors in Mega Projects on Sina Weibo: A Text Mining Analysis. / Shen, Chen ; Li, Xiangyu.
Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate. ed. / Jing Li; Weisheng Lu; Yi Peng; Hongping Yuan; Daikun Wang. Singapore: Springer , 2023. p. 1660-1672 (Lecture Notes in Operations Research).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Exploring Anti-rumor Behaviors in Mega Projects on Sina Weibo

T2 - 27th International Symposium on Advancement of Construction Management and Real Estate (CRIOCM 2022)

AU - Shen, Chen

AU - Li, Xiangyu

PY - 2023

Y1 - 2023

N2 - Conflicts caused by mega projects (MPs) always generate strong public opposition and pose significant threats to social harmony. Combined with ubiquitous online access, the spread of online rumors is unparalleled. However, rumor rebuttal on social media has been largely overlooked in engineering sociology. This study attempts a cross-disciplinary approach by crawling data related to anti-rumors of a representative MP from Sina Weibo to identify anti-rumor topics and online stakeholders, and investigates the effectiveness of anti-rumor strategies. The results suggest that the sentiment-based echo chamber effect is not significantly present in both participant and strategy networks. Anti-rumor messages of traditional media and elites are effective, while that of self-media are mainly ineffective. Meanwhile, anti-rumor strategies have different effectiveness in three frameworks. Refutation and guide strategies are effective in the assessment and risk perception framework, sarcastic and disbelief strategies are counterproductive in the risk perception and progress framework, while interrogatory strategy has opposite effects in the assessment and risk perception framework. This research can contribute to developing a systematic understanding of anti-rumor communication and provide recommendations for authorities to intervene social conflicts caused by MPs. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

AB - Conflicts caused by mega projects (MPs) always generate strong public opposition and pose significant threats to social harmony. Combined with ubiquitous online access, the spread of online rumors is unparalleled. However, rumor rebuttal on social media has been largely overlooked in engineering sociology. This study attempts a cross-disciplinary approach by crawling data related to anti-rumors of a representative MP from Sina Weibo to identify anti-rumor topics and online stakeholders, and investigates the effectiveness of anti-rumor strategies. The results suggest that the sentiment-based echo chamber effect is not significantly present in both participant and strategy networks. Anti-rumor messages of traditional media and elites are effective, while that of self-media are mainly ineffective. Meanwhile, anti-rumor strategies have different effectiveness in three frameworks. Refutation and guide strategies are effective in the assessment and risk perception framework, sarcastic and disbelief strategies are counterproductive in the risk perception and progress framework, while interrogatory strategy has opposite effects in the assessment and risk perception framework. This research can contribute to developing a systematic understanding of anti-rumor communication and provide recommendations for authorities to intervene social conflicts caused by MPs. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

KW - anti-rumor

KW - LDA

KW - mega projects

KW - social media

KW - stakeholder

KW - strategy

UR - https://www.scopus.com/pages/publications/85212477818

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85212477818&origin=recordpage

U2 - 10.1007/978-981-99-3626-7_128

DO - 10.1007/978-981-99-3626-7_128

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-981-99-3625-0

T3 - Lecture Notes in Operations Research

SP - 1660

EP - 1672

BT - Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate

A2 - Li, Jing

A2 - Lu, Weisheng

A2 - Peng, Yi

A2 - Yuan, Hongping

A2 - Wang, Daikun

PB - Springer

CY - Singapore

Y2 - 5 December 2022 through 6 December 2022

ER -

Shen C , Li X. Exploring Anti-rumor Behaviors in Mega Projects on Sina Weibo: A Text Mining Analysis. In Li J, Lu W, Peng Y, Yuan H, Wang D, editors, Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate. Singapore: Springer . 2023. p. 1660-1672. (Lecture Notes in Operations Research). Epub 2023 Aug 5. doi: 10.1007/978-981-99-3626-7_128

Exploring Anti-rumor Behaviors in Mega Projects on Sina Weibo: A Text Mining Analysis

Abstract

Publication series

Conference

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this