Cross-Textual Analysis of COVID-19 Tweets: On Themes and Trends Over Time

Joseph Marvin Imperial; Angelica De La Cruz; Emmanuel Malaay; Rachel Edita Roxas

doi:10.1007/978-981-16-2380-6_71

Cross-Textual Analysis of COVID-19 Tweets: On Themes and Trends Over Time

Joseph Marvin Imperial, Angelica De La Cruz, Emmanuel Malaay, Rachel Edita Roxas

National University, Philippines

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Abstract

In the context of worldwide events such as natural calamities and pandemics, understanding the sentiments of the people, in general, can pave way for intervention initiatives in public health, service, and security. Likewise, Twitter provides a platform where people can publicly share their thoughts and sentiments in the form of tweets. In this paper, we realize the importance of public data found on Twitter and focus on understanding how Filipinos react as the timeline of events occur in the Philippines during the COVID-19 pandemic. We perform analyses in two main aspects: identification of prominent themes and its trend of usage over time. Results show that Filipinos (a) express positive emotions such as love, hope, and longing, (b) raise concerns over health and testing, and (c) share their experience as main themes of discussion on Twitter. Cross-referencing our results with previous work dealing with thematic analysis on other natural disasters such as earthquakes and typhoons shows that the positive and hopeful mindset is consistent amongst Filipinos.

Original language	English
Title of host publication	Proceedings of 6th International Congress on Information and Communication Technology, ICICT 2021
Editors	Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	813-821
Number of pages	9
ISBN (Print)	9789811623790
DOIs	https://doi.org/10.1007/978-981-16-2380-6_71
Publication status	Published - 30 Sept 2022
Event	6th International Congress on Information and Communication Technology, ICICT 2021 - Virtual, Online Duration: 25 Feb 2021 → 26 Feb 2021

Publication series

Name	Lecture Notes in Networks and Systems
Volume	236
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	6th International Congress on Information and Communication Technology, ICICT 2021
City	Virtual, Online
Period	25/02/21 → 26/02/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

Covid
Philippines
Themes
Time
Tweets

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

UN SDGs

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

Access to Document

10.1007/978-981-16-2380-6_71

Cite this

Imperial, J. M., De La Cruz, A., Malaay, E., & Roxas, R. E. (2022). Cross-Textual Analysis of COVID-19 Tweets: On Themes and Trends Over Time. In X.-S. Yang, S. Sherratt, N. Dey, & A. Joshi (Eds.), Proceedings of 6th International Congress on Information and Communication Technology, ICICT 2021 (pp. 813-821). (Lecture Notes in Networks and Systems; Vol. 236). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-2380-6_71

Cross-Textual Analysis of COVID-19 Tweets: On Themes and Trends Over Time. / Imperial, Joseph Marvin; De La Cruz, Angelica; Malaay, Emmanuel et al.
Proceedings of 6th International Congress on Information and Communication Technology, ICICT 2021. ed. / Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi. Springer Science and Business Media Deutschland GmbH, 2022. p. 813-821 (Lecture Notes in Networks and Systems; Vol. 236).

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Imperial, JM, De La Cruz, A, Malaay, E & Roxas, RE 2022, Cross-Textual Analysis of COVID-19 Tweets: On Themes and Trends Over Time. in X-S Yang, S Sherratt, N Dey & A Joshi (eds), Proceedings of 6th International Congress on Information and Communication Technology, ICICT 2021. Lecture Notes in Networks and Systems, vol. 236, Springer Science and Business Media Deutschland GmbH, pp. 813-821, 6th International Congress on Information and Communication Technology, ICICT 2021, Virtual, Online, 25/02/21. https://doi.org/10.1007/978-981-16-2380-6_71

Imperial JM, De La Cruz A, Malaay E, Roxas RE. Cross-Textual Analysis of COVID-19 Tweets: On Themes and Trends Over Time. In Yang XS, Sherratt S, Dey N, Joshi A, editors, Proceedings of 6th International Congress on Information and Communication Technology, ICICT 2021. Springer Science and Business Media Deutschland GmbH. 2022. p. 813-821. (Lecture Notes in Networks and Systems). Epub 2022 Sept 30. doi: 10.1007/978-981-16-2380-6_71

Imperial, Joseph Marvin ; De La Cruz, Angelica ; Malaay, Emmanuel et al. / Cross-Textual Analysis of COVID-19 Tweets : On Themes and Trends Over Time. Proceedings of 6th International Congress on Information and Communication Technology, ICICT 2021. editor / Xin-She Yang ; Simon Sherratt ; Nilanjan Dey ; Amit Joshi. Springer Science and Business Media Deutschland GmbH, 2022. pp. 813-821 (Lecture Notes in Networks and Systems).

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Cross-Textual Analysis of COVID-19 Tweets: On Themes and Trends Over Time

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this