Uncovering Topics Related to COVID-19 Pandemic on Twitter

Han Zheng; Dion Hoe-Lian Goh; Edmund Wei Jian Lee; Chei Sian Lee; Yin-Leng Theng

doi:10.1007/978-3-030-64452-9_28

Uncovering Topics Related to COVID-19 Pandemic on Twitter

Han Zheng^*
, Dion Hoe-Lian Goh
, Edmund Wei Jian Lee
, Chei Sian Lee
, Yin-Leng Theng

^*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

The World Health Organization declared COVID-19 as a pandemic on 11 March 2020 due to its rapid spread worldwide. This work-in-progress paper aims to uncover topics related to COVID-19 discussed on Twitter. Using topic modelling, we analyzed two weeks of tweets (11 March–25 March 2020) in English and found 17 latent topics, covering a broad range of issues such as health and economic impact, political and legislative responses, prevention measures, as well as disruption to individuals’ daily lives. The results of this preliminary study show a helpful step to understand public communications about the virus and thus inform health practitioners to propose effective safety measures against COVID-19. © 2020, Springer Nature Switzerland AG.

Original language	English
Title of host publication	Digital Libraries at Times of Massive Societal Transition - 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, Proceedings
Editors	Emi Ishita, Natalie Lee San Pang, Lihong Zhou
Publisher	Springer, Cham
Pages	307-312
ISBN (Electronic)	9783030644529
ISBN (Print)	9783030644512
DOIs	https://doi.org/10.1007/978-3-030-64452-9_28
Publication status	Published - 2020
Externally published	Yes
Event	22nd International Conference on Asia-Pacific Digital Libraries (ICADL 2020): Digital Libraries at Times of Massive Societal Transition– Collaborating and Connecting Community during Global Change - Virtual, Kyoto, Japan Duration: 30 Nov 2020 → 1 Dec 2020 https://icadl.net/icadl2020/

Publication series

Name	Lecture Notes in Computer Science
Volume	12504
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	22nd International Conference on Asia-Pacific Digital Libraries (ICADL 2020)
Abbreviated title	ICADL2020
Place	Japan
City	Kyoto
Period	30/11/20 → 1/12/20
Internet address	https://icadl.net/icadl2020/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Research Keywords

COVID-19
Topic modelling
Tweets

Access Output

10.1007/978-3-030-64452-9_28

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

Zheng, H., Goh, D. H.-L., Lee, E. W. J., Lee, C. S., & Theng, Y.-L. (2020). Uncovering Topics Related to COVID-19 Pandemic on Twitter. In E. Ishita, N. L. S. Pang, & L. Zhou (Eds.), Digital Libraries at Times of Massive Societal Transition - 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, Proceedings (pp. 307-312). (Lecture Notes in Computer Science; Vol. 12504). Springer, Cham. https://doi.org/10.1007/978-3-030-64452-9_28

Zheng, Han ; Goh, Dion Hoe-Lian ; Lee, Edmund Wei Jian et al. / Uncovering Topics Related to COVID-19 Pandemic on Twitter. Digital Libraries at Times of Massive Societal Transition - 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, Proceedings. editor / Emi Ishita ; Natalie Lee San Pang ; Lihong Zhou. Springer, Cham, 2020. pp. 307-312 (Lecture Notes in Computer Science).

@inproceedings{47ca3ea9f76943d1ad10ac36321511a0,

title = "Uncovering Topics Related to COVID-19 Pandemic on Twitter",

abstract = "The World Health Organization declared COVID-19 as a pandemic on 11 March 2020 due to its rapid spread worldwide. This work-in-progress paper aims to uncover topics related to COVID-19 discussed on Twitter. Using topic modelling, we analyzed two weeks of tweets (11 March–25 March 2020) in English and found 17 latent topics, covering a broad range of issues such as health and economic impact, political and legislative responses, prevention measures, as well as disruption to individuals{\textquoteright} daily lives. The results of this preliminary study show a helpful step to understand public communications about the virus and thus inform health practitioners to propose effective safety measures against COVID-19. {\textcopyright} 2020, Springer Nature Switzerland AG.",

keywords = "COVID-19, Topic modelling, Tweets",

author = "Han Zheng and Goh, \{Dion Hoe-Lian\} and Lee, \{Edmund Wei Jian\} and Lee, \{Chei Sian\} and Yin-Leng Theng",

year = "2020",

doi = "10.1007/978-3-030-64452-9\_28",

language = "English",

isbn = "9783030644512",

series = "Lecture Notes in Computer Science",

publisher = "Springer, Cham",

pages = "307--312",

editor = "Emi Ishita and Pang, \{Natalie Lee San\} and Lihong Zhou",

booktitle = "Digital Libraries at Times of Massive Societal Transition - 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, Proceedings",

note = "22nd International Conference on Asia-Pacific Digital Libraries (ICADL 2020) : Digital Libraries at Times of Massive Societal Transition– Collaborating and Connecting Community during Global Change, ICADL2020 ; Conference date: 30-11-2020 Through 01-12-2020",

url = "https://icadl.net/icadl2020/",

}

Zheng, H, Goh, DH-L, Lee, EWJ, Lee, CS & Theng, Y-L 2020, Uncovering Topics Related to COVID-19 Pandemic on Twitter. in E Ishita, NLS Pang & L Zhou (eds), Digital Libraries at Times of Massive Societal Transition - 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, Proceedings. Lecture Notes in Computer Science, vol. 12504, Springer, Cham, pp. 307-312, 22nd International Conference on Asia-Pacific Digital Libraries (ICADL 2020), Kyoto, Japan, 30/11/20. https://doi.org/10.1007/978-3-030-64452-9_28

Uncovering Topics Related to COVID-19 Pandemic on Twitter. / Zheng, Han; Goh, Dion Hoe-Lian; Lee, Edmund Wei Jian et al.
Digital Libraries at Times of Massive Societal Transition - 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, Proceedings. ed. / Emi Ishita; Natalie Lee San Pang; Lihong Zhou. Springer, Cham, 2020. p. 307-312 (Lecture Notes in Computer Science; Vol. 12504).

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

TY - GEN

T1 - Uncovering Topics Related to COVID-19 Pandemic on Twitter

AU - Zheng, Han

AU - Goh, Dion Hoe-Lian

AU - Lee, Edmund Wei Jian

AU - Lee, Chei Sian

AU - Theng, Yin-Leng

PY - 2020

Y1 - 2020

N2 - The World Health Organization declared COVID-19 as a pandemic on 11 March 2020 due to its rapid spread worldwide. This work-in-progress paper aims to uncover topics related to COVID-19 discussed on Twitter. Using topic modelling, we analyzed two weeks of tweets (11 March–25 March 2020) in English and found 17 latent topics, covering a broad range of issues such as health and economic impact, political and legislative responses, prevention measures, as well as disruption to individuals’ daily lives. The results of this preliminary study show a helpful step to understand public communications about the virus and thus inform health practitioners to propose effective safety measures against COVID-19. © 2020, Springer Nature Switzerland AG.

AB - The World Health Organization declared COVID-19 as a pandemic on 11 March 2020 due to its rapid spread worldwide. This work-in-progress paper aims to uncover topics related to COVID-19 discussed on Twitter. Using topic modelling, we analyzed two weeks of tweets (11 March–25 March 2020) in English and found 17 latent topics, covering a broad range of issues such as health and economic impact, political and legislative responses, prevention measures, as well as disruption to individuals’ daily lives. The results of this preliminary study show a helpful step to understand public communications about the virus and thus inform health practitioners to propose effective safety measures against COVID-19. © 2020, Springer Nature Switzerland AG.

KW - COVID-19

KW - Topic modelling

KW - Tweets

UR - https://www.scopus.com/pages/publications/85097545664

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85097545664&origin=recordpage

U2 - 10.1007/978-3-030-64452-9_28

DO - 10.1007/978-3-030-64452-9_28

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

SN - 9783030644512

T3 - Lecture Notes in Computer Science

SP - 307

EP - 312

BT - Digital Libraries at Times of Massive Societal Transition - 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, Proceedings

A2 - Ishita, Emi

A2 - Pang, Natalie Lee San

A2 - Zhou, Lihong

PB - Springer, Cham

T2 - 22nd International Conference on Asia-Pacific Digital Libraries (ICADL 2020)

Y2 - 30 November 2020 through 1 December 2020

ER -

Zheng H, Goh DHL, Lee EWJ, Lee CS, Theng YL. Uncovering Topics Related to COVID-19 Pandemic on Twitter. In Ishita E, Pang NLS, Zhou L, editors, Digital Libraries at Times of Massive Societal Transition - 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, Proceedings. Springer, Cham. 2020. p. 307-312. (Lecture Notes in Computer Science). Epub 2020 Nov 26. doi: 10.1007/978-3-030-64452-9_28

Uncovering Topics Related to COVID-19 Pandemic on Twitter

Abstract

Publication series

Conference

UN SDGs

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this