Development of a Text Classification Model to Detect Disinformation About COVID-19 in Social Media: Understanding the Features and Narratives of Disinformation in the Philippines

Hans Calvin Tan; Maria Regina Justina Estuar; Nicole Allison Co; Austin Sebastien Tan; Roland Abao; Jelly Aureus

doi:10.1007/978-3-031-05061-9_27

Development of a Text Classification Model to Detect Disinformation About COVID-19 in Social Media: Understanding the Features and Narratives of Disinformation in the Philippines

Hans Calvin Tan, Maria Regina Justina Estuar, Nicole Allison Co, Austin Sebastien Tan, Roland Abao, Jelly Aureus

Department of Information Systems and Computer Science

Ateneo de Manila University

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

Original language	English
Title of host publication	Social Computing and Social Media
Subtitle of host publication	Design, User Experience and Impact - 14th International Conference, SCSM 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings
Editors	Gabriele Meiselwitz
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	370-388
Number of pages	19
ISBN (Print)	9783031050602
DOIs	https://doi.org/10.1007/978-3-031-05061-9_27
State	Published - 2022
Event	14th International Conference on Social Computing and Social Media, SCSM 2022 Held as Part of the 24th HCI International Conference, HCII 2022 - Virtual, Online Duration: Jun 26 2022 → Jul 1 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13315 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Social Computing and Social Media, SCSM 2022 Held as Part of the 24th HCI International Conference, HCII 2022
City	Virtual, Online
Period	6/26/22 → 7/1/22

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

COVID-19
N-Grams
Philippine disinformation
Social network analysis
TF-IDF
Text classification model

UN SDGs

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

Access to Document

10.1007/978-3-031-05061-9_27

Cite this

Tan, H. C., Estuar, M. R. J., Co, N. A., Tan, A. S., Abao, R., & Aureus, J. (2022). Development of a Text Classification Model to Detect Disinformation About COVID-19 in Social Media: Understanding the Features and Narratives of Disinformation in the Philippines. In G. Meiselwitz (Ed.), Social Computing and Social Media: Design, User Experience and Impact - 14th International Conference, SCSM 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings (pp. 370-388). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13315 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-05061-9_27

Development of a Text Classification Model to Detect Disinformation About COVID-19 in Social Media: Understanding the Features and Narratives of Disinformation in the Philippines. / Tan, Hans Calvin; Estuar, Maria Regina Justina; Co, Nicole Allison et al.
Social Computing and Social Media: Design, User Experience and Impact - 14th International Conference, SCSM 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings. ed. / Gabriele Meiselwitz. Springer Science and Business Media Deutschland GmbH, 2022. p. 370-388 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13315 LNCS).

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

Tan, HC, Estuar, MRJ, Co, NA, Tan, AS, Abao, R & Aureus, J 2022, Development of a Text Classification Model to Detect Disinformation About COVID-19 in Social Media: Understanding the Features and Narratives of Disinformation in the Philippines. in G Meiselwitz (ed.), Social Computing and Social Media: Design, User Experience and Impact - 14th International Conference, SCSM 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. 13315 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 370-388, 14th International Conference on Social Computing and Social Media, SCSM 2022 Held as Part of the 24th HCI International Conference, HCII 2022, Virtual, Online, 6/26/22. https://doi.org/10.1007/978-3-031-05061-9_27

Tan HC, Estuar MRJ, Co NA, Tan AS, Abao R, Aureus J. Development of a Text Classification Model to Detect Disinformation About COVID-19 in Social Media: Understanding the Features and Narratives of Disinformation in the Philippines. In Meiselwitz G, editor, Social Computing and Social Media: Design, User Experience and Impact - 14th International Conference, SCSM 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 370-388. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-05061-9_27

Tan, Hans Calvin ; Estuar, Maria Regina Justina ; Co, Nicole Allison et al. / Development of a Text Classification Model to Detect Disinformation About COVID-19 in Social Media : Understanding the Features and Narratives of Disinformation in the Philippines. Social Computing and Social Media: Design, User Experience and Impact - 14th International Conference, SCSM 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings. editor / Gabriele Meiselwitz. Springer Science and Business Media Deutschland GmbH, 2022. pp. 370-388 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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