Fig. 2
From: Harnessing deep learning to monitor people’s perceptions towards climate change on social media
Relative frequency of (a) positive, neutral, and negative posts, (b) posts expressing anger, joy, sadness, fear, surprise, disgust and neutral emotions, and (c) ironic and not ironic posts, between 2010 and 2022. Most users’ sentiments across the analysed period were neutral (> 35% of all relevant posts) or negative (> 39%). Positive sentiments accounted for a minor portion of posts (> 13%). Emotion analysis showed a predominance of neutral emotions (61-74%, depending on the year), with anger, surprise, and joy being the most frequently detected emotions. An increasing trend of anger-related posts was observed, particularly over the last four years. About a quarter of the dataset contained ironic content, showing a steady prevalence over the last decade.
