Appiah, Ezekiel and Htait, Amal (2024). AI in the Public Eye: A Comprehensive Sentiment Analysis of Public Opinion Toward Artificial Intelligence on Social Media Platforms. IN: The Second UK AI Conference 2024. University of Birmingham, 2024-11-22 - 2024-11-22. (Unpublished)
Abstract
Artificial Intelligence (AI) is a rapidly evolving technology with far-reaching implications, and it has sparked intense public discussion on social media platforms. This study conducts a comprehensive sentiment analysis of AI-related posts on Twitter, YouTube, and Reddit from 2017 to 2024, aiming to evaluate public perceptions and attitudes toward AI. Approximately 133,004 social media posts were analysed using a fine-tuned RoBERTa model for sentiment classification, along with Latent Dirichlet Allocation (LDA), n-gram analysis, and word co-occurrence mapping for topic modelling. The findings reveal that a considerable portion of social media users express negative sentiments towards AI (46.09%), followed by neutral sentiments (39.29%) and positive sentiments (14.62%). LDA analysis identified 20 distinct topics, including AI ethics, job impacts, and philosophical implications. Temporal analysis revealed a notable increase in AI-related discourse starting in 2022, accompanied by evolving sentiment patterns. The results reveal a complex landscape of public perception regarding AI, characterised by ongoing concerns about its societal impacts, coupled with a growing interest in the AI's technical aspects. Future research could explore cross-cultural perceptions of AI and examine how direct interactions with AI systems influence public attitudes.
Divisions: | College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Software Engineering & Cybersecurity |
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Additional Information: | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Event Title: | The Second UK AI Conference 2024 |
Event Type: | Other |
Event Location: | University of Birmingham |
Event Dates: | 2024-11-22 - 2024-11-22 |
Last Modified: | 01 Apr 2025 07:12 |
Date Deposited: | 17 Dec 2024 10:16 | PURE Output Type: | Poster |
Published Date: | 2024-11-22 |
Authors: |
Appiah, Ezekiel
Htait, Amal ( ![]() |
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License: Creative Commons Attribution Non-commercial No Derivatives
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