Tweeting for Health Using Real-time Mining and Artificial Intelligence–Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter
BackgroundDigital misinformation, primarily on social media, has led to harmful and costly beliefs in the general population. Notably, these beliefs have resulted in public health crises to the detriment of governments worldwide and their citizens. However, public health offi...
| 出版年: | Journal of Medical Internet Research |
|---|---|
| 主要な著者: | Plinio Pelegrini Morita, Irfhana Zakir Hussain, Jasleen Kaur, Matheus Lotto, Zahid Ahmad Butt |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
JMIR Publications
2023-06-01
|
| オンライン・アクセス: | https://www.jmir.org/2023/1/e44356 |
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