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Public sentiments on the fourth industrial revolution: An unsolicited public opinion poll from Twitter

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  • Diletta Abbonato

Abstract

This article explores public perceptions on the Fourth Industrial Revolution (4IR) through an analysis of social media discourse across six European countries. Using sentiment analysis and machine learning techniques on a dataset of tweets and media articles, we assess how the public reacts to the integration of technologies such as artificial intelligence, robotics, and blockchain into society. The results highlight a significant polarization of opinions, with a shift from neutral to more definitive stances either embracing or resisting technological impacts. Positive sentiments are often associated with technological enhancements in quality of life and economic opportunities, whereas concerns focus on issues of privacy, data security, and ethical implications. This polarization underscores the need for policymakers to engage proactively with the public to address fears and harness the benefits of 4IR technologies. The findings also advocate for digital literacy and public awareness programs to mitigate misinformation and foster an informed public discourse on future technological integration. This study contributes to the ongoing debate on aligning technological advances with societal values and needs, emphasizing the role of informed public opinion in shaping effective policy.

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  • Diletta Abbonato, 2024. "Public sentiments on the fourth industrial revolution: An unsolicited public opinion poll from Twitter," Papers 2411.14230, arXiv.org.
  • Handle: RePEc:arx:papers:2411.14230
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    1. Nelson, Richard R. & Sampat, Bhaven N., 2001. "Making sense of institutions as a factor shaping economic performance," Journal of Economic Behavior & Organization, Elsevier, vol. 44(1), pages 31-54, January.
    2. Jacob R. Holm & Daniel S. Hain & Roman Jurowetzki & Edward Lorenz, 2023. "Innovation dynamics in the age of artificial intelligence: introduction to the special issue," Industry and Innovation, Taylor & Francis Journals, vol. 30(9), pages 1141-1155, October.
    3. Edmond Awad & Sohan Dsouza & Richard Kim & Jonathan Schulz & Joseph Henrich & Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2018. "The Moral Machine experiment," Nature, Nature, vol. 563(7729), pages 59-64, November.
    4. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    5. Mohsen Mosleh & David G. Rand, 2022. "Author Correction: Measuring exposure to misinformation from political elites on Twitter," Nature Communications, Nature, vol. 13(1), pages 1-1, December.
    6. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    7. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    8. Weinberg, Bruce D. & Milne, George R. & Andonova, Yana G. & Hajjat, Fatima M., 2015. "Internet of Things: Convenience vs. privacy and secrecy," Business Horizons, Elsevier, vol. 58(6), pages 615-624.
    9. JinHyo Joseph Yun & Zheng Liu, 2019. "Micro- and Macro-Dynamics of Open Innovation with a Quadruple-Helix Model," Sustainability, MDPI, vol. 11(12), pages 1-17, June.
    10. Mohsen Mosleh & David G. Rand, 2022. "Measuring exposure to misinformation from political elites on Twitter," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
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