AI in the Public Eye: Analysing Social Media Sentiment and Opinion on Artificial Intelligence

Ezekiel Appiah, Amal Htait

Research output: Chapter in Book/Published conference outputChapter (peer-reviewed)peer-review

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 languageEnglish
Title of host publicationProceedings of Machine Learning Research
Subtitle of host publicationProceedings of the UK AI Conference 2024
Place of PublicationUK
Pages1-15
Number of pages15
Volume295
Publication statusPublished - 2025

Keywords

  • Artificial intelligence
  • Social media
  • Natural language processing
  • Topic modelling
  • Public perception

Fingerprint

Dive into the research topics of 'AI in the Public Eye: Analysing Social Media Sentiment and Opinion on Artificial Intelligence'. Together they form a unique fingerprint.

Cite this