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

TL;DR

This study analyzes European public sentiment on Fourth Industrial Revolution technologies from 2006 to 2019 using NLP on tweets and news, revealing increasing polarization and echo chambers, especially around privacy issues.

Contribution

It provides an empirical baseline of public opinion on 4IR technologies before generative AI, highlighting sentiment dynamics and echo chamber formation across countries and domains.

Findings

Neutral sentiment declined over time.

Approximately 6% of users form echo chambers.

Privacy discussions are most susceptible to echo chambers.

Abstract

This paper establishes an empirical baseline of public sentiment toward Fourth Industrial Revolution (4IR) technologies across six European countries during the period 2006--2019, prior to the widespread adoption of generative AI systems. Employing transformer-based natural language processing models on a corpus of approximately 90,000 tweets and news articles, I document a European public sphere increasingly divided in its assessment of technological change: neutral sentiment declined markedly over the study period as citizens sorted into camps of enthusiasm and concern, a pattern that manifests distinctively across national contexts and technology domains. Approximately 6\% of users inhabit echo chambers characterized by sentiment-aligned networks, with privacy discourse exhibiting the highest susceptibility to such dynamics. These findings provide a methodologically rigorous reference point for evaluating how the introduction of ChatGPT and subsequent generative AI systems has transformed public discourse on automation, employment, and technological change. The results carry implications for policymakers seeking to align technological governance with societal values in an era of rapid AI advancement.