Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study
BackgroundStudying COVID-19 misinformation on Twitter presents methodological challenges. A computational approach can analyze large data sets, but it is limited when interpreting context. A qualitative approach allows for a deeper analysis of content, but it is labor-intensi...
Main Authors: | Iris Thiele Isip Tan, Jerome Cleofas, Geoffrey Solano, Jeanne Genevive Pillejera, Jasper Kyle Catapang |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2023-06-01
|
Series: | JMIR Formative Research |
Online Access: | https://formative.jmir.org/2023/1/e41134 |
Similar Items
-
Identifying misinformation on Twitter with a support vector machine
by: Supanya Aphiwongsophon, et al.
Published: (2020-09-01) -
Characterizing Discourse and Engagement Across Topics of Misinformation on Twitter
by: Dominika Nadia Wojtczak, et al.
Published: (2023-01-01) -
Identifying and characterizing scientific authority-related misinformation discourse about hydroxychloroquine on twitter using unsupervised machine learning
by: Michael Robert Haupt, et al.
Published: (2021-05-01) -
Dynamics and characteristics of misinformation related to earthquake predictions on Twitter
by: Irina Dallo, et al.
Published: (2023-08-01) -
Machine Learning in Detecting COVID-19 Misinformation on Twitter
by: Mohammed N. Alenezi, et al.
Published: (2021-09-01)