case_images: PMC11729529_01
case_images: Sentiment analysis of tweets with each sentiment category, ranging from the most negative (-4) to the most positive (+3).
case_images: S2732494X24004716_fig1.jpg
case_images: PMC11729529_01_S2732494X24004716_fig1.jpg
case_images: f1
case_images: Neutral tweets, those with sentiment scores of 0, accounted for 36.0% of the tweets, while positive tweets (tweets with sentiments greater than 0) only accounted for 13.6% of the dataset (Figure 1).
case_images: Emotion analysis of tweets based on 5 emotions: happiness, anger, surprise, sadness, and fear.
case_images: S2732494X24004716_fig2.jpg
case_images: PMC11729529_01_S2732494X24004716_fig2.jpg
case_images: f2
case_images: Anger (36.4%), fear (29.5%), and sadness (18.5%) comprised most of the tweets exhibited by language such as "F[censored] YOUR BIRD FLU PROPAGANDA," "Biden et al. are allowing deadly H5N1 to spread unabated! H5N1 has a 50%-60% fatality rate in people-this is catastrophic!," and "I'm very nervous about H5N1 (and now H5N2) and I'm having the same bad feeling I had before the lockdowns..." In contrast, surprise and happiness made up 9.6% and 5.9%, respectively (Figure 2) as shown by tweets such as "Grateful for health officials in Mexico for transparency," "Really nice map showing where H5N1 has been detect[ed] in mammals in the U.S.," and "San Francisco leads with advanced #H5N1 surveillance in wastewater.