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Topics and Sentiments of Public Concerns Regarding COVID-19 Vaccines: Social Media Trend Analysis

Topics and Sentiments of Public Concerns Regarding COVID-19 Vaccines: Social Media Trend Analysis

Given our tweet corpus V∈ F×N, we represented our emotion results as X∈ C×N, where C is number of emotion categories and N is the number of tweets. For each emotion, we computed an embedding vector Eci where i =1,…..,C – 1 and for each tweet, we computed an embedding vector Evj where j = 1,……N using the pretrained sentence BERT model. To populate our emotion matrix, we first computed the VADER sentiment score and assigned the score to the neutral category in our matrix.

Michal Monselise, Chia-Hsuan Chang, Gustavo Ferreira, Rita Yang, Christopher C Yang

J Med Internet Res 2021;23(10):e30765

The Exchange of Informational Support in Online Health Communities at the Onset of the COVID-19 Pandemic: Content Analysis

The Exchange of Informational Support in Online Health Communities at the Onset of the COVID-19 Pandemic: Content Analysis

In investigating the patterns of social support exchange between OHC participants, Zhang and Yang identified four behaviors, including active giving, active receiving, passive giving, and passive receiving [7]. Empathy analysis of OHCs demonstrated that empathy develops through shared experiences [22], and empathy was perceived through effectiveness of information seeking rather than general social support [28].

Wesley Jong, Ou Stella Liang, Christopher C Yang

JMIRx Med 2021;2(3):e27485