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Use of Large Language Models to Assess the Likelihood of Epidemics From the Content of Tweets: Infodemiology Study

Use of Large Language Models to Assess the Likelihood of Epidemics From the Content of Tweets: Infodemiology Study

Investments in automated content screening of microblog posts, as well as other public social media, blog, and forum data, may be warranted as an additional channel of potentially useful information for disease outbreak surveillance. Such methods could be particularly useful for other nonreportable conditions. Our findings are subject to several limitations beyond those inherent in the selection of our 9 countries.

Michael S Deiner, Natalie A Deiner, Vagelis Hristidis, Stephen D McLeod, Thuy Doan, Thomas M Lietman, Travis C Porco

J Med Internet Res 2024;26:e49139

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Article has an altmetric score of 4

Public Opinion About COVID-19 on a Microblog Platform in China: Topic Modeling and Multidimensional Sentiment Analysis of Social Media

Public Opinion About COVID-19 on a Microblog Platform in China: Topic Modeling and Multidimensional Sentiment Analysis of Social Media

First, based on the API interface for the Sina microblog, data from COVID-19–related microblog comments from July 1, 2020, to June 1, 2021, which was in the middle of the COVID-19 pandemic, were obtained and preprocessed. Second, we considered the characteristic of low granularity as well as short words in the microblog comments [22].

Feipeng Guo, Zixiang Liu, Qibei Lu, Shaobo Ji, Chen Zhang

J Med Internet Res 2024;26:e47508

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Article has an altmetric score of 2