Decoding Romanian labour protests: insights from a topic modeling approach

Labour protests in Romania have been shaped by a complex interplay of historical political transitions, economic transformations, and shifts in trade union influence. This article provides an in-depth exploration of recent labour mobilisations, focusing on the industrial actions that took place between 2021 and 2022, a period marked by post-COVID-19 economic recovery and legislative reforms. Using natural language processing (NLP) techniques, this study analyses press releases from Romania’s official news agency to identify recurring themes and patterns in union-led protests. The findings highlight key drivers of labour unrest, including wage stagnation, chronic underfunding in the public sector, particularly in education and healthcare, and broader governance concerns. Furthermore, this study situates these protests within Romania’s evolving socioeconomic and political landscape, providing a comprehensive contextual analysis. By integrating historical perspectives with computational analysis, this research offers a nuanced understanding of contemporary labour movements in Romania and their implications for industrial relations and social policy.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2025-05-07
DOI
https://doi.org/10.1057/s41599-025-04976-9
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
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article

Decoding Romanian labour protests: insights from a topic modeling approach

Ciprian Pânzaru, Gabriela Negoiță
Humanities and Social Sciences Communications
Computational and Text Analysis Methods
article

Decoding Romanian labour protests: insights from a topic modeling approach

Ciprian Pânzaru, Gabriela Negoiță
article en

Abstract

Labour protests in Romania have been shaped by a complex interplay of historical political transitions, economic transformations, and shifts in trade union influence. This article provides an in-depth exploration of recent labour mobilisations, focusing on the industrial actions that took place between 2021 and 2022, a period marked by post-COVID-19 economic recovery and legislative reforms. Using natural language processing (NLP) techniques, this study analyses press releases from Romania’s official news agency to identify recurring themes and patterns in union-led protests. The findings highlight key drivers of labour unrest, including wage stagnation, chronic underfunding in the public sector, particularly in education and healthcare, and broader governance concerns. Furthermore, this study situates these protests within Romania’s evolving socioeconomic and political landscape, providing a comprehensive contextual analysis. By integrating historical perspectives with computational analysis, this research offers a nuanced understanding of contemporary labour movements in Romania and their implications for industrial relations and social policy.

Humanities and Social Sciences CommunicationsVol. 12(1)
West University of Timişoara (RO)
Decent work and economic growth
Openalex Percentile: Top 86%
Computational and Text Analysis Methods
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