Abstract
Artificial Intelligence (AI), a rapidly evolving technology with far-reaching implications, has become a widely discussed topic on social media platforms. This study conducted a comprehensive sentiment analysis of posts discussing AI topics on Twitter, YouTube and Reddit from 2017 to 2024 to evaluate public perceptions and attitudes toward AI. A total of 133,004 social media posts were analysed using a fine-tuned RoBERTa model for sentiment classification, alongside Latent Dirichlet Allocation (LDA), n-gram, and word co-occurrence mapping for topic modelling. The analysis revealed that 46.09% of the posts express negative sentiments about AI, followed by 39.29% neutral and 14.62% positive sentiments. LDA uncovered 20 key topics, including AI ethics, job impacts, and philosophical implications. Temporal analysis revealed a significant surge in AI-related discourse from 2022 onward, with evolving sentiment patterns. These findings suggest a complex landscape of public AI perception, reflecting persistent concerns about societal impacts alongside increasing interest in AI’s technical aspects.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of Machine Learning Research |
| Subtitle of host publication | Proceedings of the UK AI Conference 2024 |
| Place of Publication | UK |
| Pages | 1-15 |
| Number of pages | 15 |
| Volume | 295 |
| Publication status | Published - 2025 |
Keywords
- Artificial intelligence
- Social media
- Natural language processing
- Topic modelling
- Public perception