Effects of Microblog Comments on Chinese User's Sentiment with COVID-19 Epidemic Topics

Hao He; Ziqi Guo; Jiajie Zhan; Pingfan Fan; Yihe Xia; Meng Wang; Qinwei Liu; Zhe Chen

doi:10.1007/978-3-031-06050-2_17

Effects of Microblog Comments on Chinese User's Sentiment with COVID-19 Epidemic Topics

Hao He
, Ziqi Guo
, Jiajie Zhan
, Pingfan Fan
, Yihe Xia
, Meng Wang
, Qinwei Liu
, Zhe Chen^*

^*Corresponding author for this work

School of Economics and Management

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Social media is one of the most significant sources of information in modern people’s life. Due to the large quantity of user base and public opinions, when people read a blog post, the different tendencies of comments may affect their views on the event to a certain extent. This paper, taking the COVID-19 epidemic as an example, investigated the impact of Weibo (a popular social software in China) comments on readers’ sentiments. In this paper, text mining technology was adopted to collect data including the blogs and the comments under each blog, and the NLPIR-Parser platform was used to analyze the sentiment of the comments. Finally, the conclusion that the sentiments of other comments tend to follow the sentiments of the first comments was drawn. Based on the research results, this paper also gave some enlightenment on social media management and suggestions of public opinions oversight.

Original language	English
Title of host publication	Cross-Cultural Design. Applications in Business, Communication, Health, Well-being, and Inclusiveness - 14th International Conference, CCD 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings
Editors	Pei-Luen Patrick Rau
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	230-240
Number of pages	11
ISBN (Print)	9783031060496
DOIs	https://doi.org/10.1007/978-3-031-06050-2_17
State	Published - 2022
Event	14th International Conference on Cross-Cultural Design, CCD 2022 Held as Part of the 24th HCI International Conference, HCII 2022 - Virtual, Online Duration: 26 Jun 2022 → 1 Jul 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13313 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Cross-Cultural Design, CCD 2022 Held as Part of the 24th HCI International Conference, HCII 2022
City	Virtual, Online
Period	26/06/22 → 1/07/22

Keywords

COVID-19 epidemic
China
Microblog
Sentiment analysis
Text mining

Access to Document

10.1007/978-3-031-06050-2_17

Cite this

He, H., Guo, Z., Zhan, J., Fan, P., Xia, Y., Wang, M., Liu, Q., & Chen, Z. (2022). Effects of Microblog Comments on Chinese User's Sentiment with COVID-19 Epidemic Topics. In P.-L. P. Rau (Ed.), Cross-Cultural Design. Applications in Business, Communication, Health, Well-being, and Inclusiveness - 14th International Conference, CCD 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings (pp. 230-240). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13313 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-06050-2_17

He, Hao ; Guo, Ziqi ; Zhan, Jiajie et al. / Effects of Microblog Comments on Chinese User's Sentiment with COVID-19 Epidemic Topics. Cross-Cultural Design. Applications in Business, Communication, Health, Well-being, and Inclusiveness - 14th International Conference, CCD 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings. editor / Pei-Luen Patrick Rau. Springer Science and Business Media Deutschland GmbH, 2022. pp. 230-240 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Social media is one of the most significant sources of information in modern people{\textquoteright}s life. Due to the large quantity of user base and public opinions, when people read a blog post, the different tendencies of comments may affect their views on the event to a certain extent. This paper, taking the COVID-19 epidemic as an example, investigated the impact of Weibo (a popular social software in China) comments on readers{\textquoteright} sentiments. In this paper, text mining technology was adopted to collect data including the blogs and the comments under each blog, and the NLPIR-Parser platform was used to analyze the sentiment of the comments. Finally, the conclusion that the sentiments of other comments tend to follow the sentiments of the first comments was drawn. Based on the research results, this paper also gave some enlightenment on social media management and suggestions of public opinions oversight.",

keywords = "COVID-19 epidemic, China, Microblog, Sentiment analysis, Text mining",

author = "Hao He and Ziqi Guo and Jiajie Zhan and Pingfan Fan and Yihe Xia and Meng Wang and Qinwei Liu and Zhe Chen",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 14th International Conference on Cross-Cultural Design, CCD 2022 Held as Part of the 24th HCI International Conference, HCII 2022 ; Conference date: 26-06-2022 Through 01-07-2022",

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He, H, Guo, Z, Zhan, J, Fan, P, Xia, Y, Wang, M, Liu, Q & Chen, Z 2022, Effects of Microblog Comments on Chinese User's Sentiment with COVID-19 Epidemic Topics. in P-LP Rau (ed.), Cross-Cultural Design. Applications in Business, Communication, Health, Well-being, and Inclusiveness - 14th International Conference, CCD 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13313 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 230-240, 14th International Conference on Cross-Cultural Design, CCD 2022 Held as Part of the 24th HCI International Conference, HCII 2022, Virtual, Online, 26/06/22. https://doi.org/10.1007/978-3-031-06050-2_17

Effects of Microblog Comments on Chinese User's Sentiment with COVID-19 Epidemic Topics. / He, Hao; Guo, Ziqi; Zhan, Jiajie et al.
Cross-Cultural Design. Applications in Business, Communication, Health, Well-being, and Inclusiveness - 14th International Conference, CCD 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings. ed. / Pei-Luen Patrick Rau. Springer Science and Business Media Deutschland GmbH, 2022. p. 230-240 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13313 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - He, Hao

AU - Guo, Ziqi

AU - Zhan, Jiajie

AU - Fan, Pingfan

AU - Xia, Yihe

AU - Wang, Meng

AU - Liu, Qinwei

AU - Chen, Zhe

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AB - Social media is one of the most significant sources of information in modern people’s life. Due to the large quantity of user base and public opinions, when people read a blog post, the different tendencies of comments may affect their views on the event to a certain extent. This paper, taking the COVID-19 epidemic as an example, investigated the impact of Weibo (a popular social software in China) comments on readers’ sentiments. In this paper, text mining technology was adopted to collect data including the blogs and the comments under each blog, and the NLPIR-Parser platform was used to analyze the sentiment of the comments. Finally, the conclusion that the sentiments of other comments tend to follow the sentiments of the first comments was drawn. Based on the research results, this paper also gave some enlightenment on social media management and suggestions of public opinions oversight.

KW - COVID-19 epidemic

KW - China

KW - Microblog

KW - Sentiment analysis

KW - Text mining

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Cross-Cultural Design. Applications in Business, Communication, Health, Well-being, and Inclusiveness - 14th International Conference, CCD 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings

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He H, Guo Z, Zhan J, Fan P, Xia Y, Wang M et al. Effects of Microblog Comments on Chinese User's Sentiment with COVID-19 Epidemic Topics. In Rau PLP, editor, Cross-Cultural Design. Applications in Business, Communication, Health, Well-being, and Inclusiveness - 14th International Conference, CCD 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 230-240. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-06050-2_17