Analyzing public opinion on artificial intelligence using sentiment analysis and data visualization
DOI:
https://doi.org/10.70577/ASCE/353.370/2025Keywords:
Artificial intelligence; public opinion; sentiment analysis; data visualization; social perceptions; regulatory policies; education; technological ethics.Abstract
The study offers an in-depth exploration of society's perceptions and emotions towards artificial intelligence (AI), highlighting a duality between optimism for its applications and concern for its implications. Using natural language processing techniquesto analyze a wide range of digital texts and data visualization techniques to represent the findings, this research identifies key trends and patterns in public opinion about AI. The results reveal a split in public perception: on the one hand, there is significant enthusiasm for the potential benefits of AI in sectors such as healthcare, education and industry, reflected in positive sentiments and optimistic expectations. On the other hand, there is evident concern about the associated risks, including job loss, privacy issues and ethical issues related to automated decisions. The research underscores the importance of effective communication about AI that balances the exposure of its benefits and risks, and highlights the need for educational and regulatory policies and strategies that promote responsible technological development. The implementation of these measures is crucial to align the advancement of AI with society's expectations and values, encouraging constructive dialogue about its future. This study makes a valuable contribution to the understanding of how society perceives AI, providing a basis for informed actions by developers, policy makers and educators. By highlighting both the hopes and concerns of the population, it emphasizes the need for a balanced and ethical approach in the development and implementation of AI technologies.
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Copyright (c) 2025 Oscar Danilo Gavilánez Alvarez, John Javier Cruz Garzón, Cristian Luis Inca Balseca
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
