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Platform workers not by chance: Exploring the digital labour markets in Italy with machine learning and explainable
Clara Punzi1,2, Valeria Cirillo3, Dario Guarascio4
1Faculty of Science, Scuola Normale Superiore, Pisa, Italy.
Plos One
|June 30, 2026
Summary
Digital platform work in Italy is stratified, with older workers facing economic vulnerability. Platform jobs often supplement precarious income, not a last resort, but an adaptive strategy for jobseekers.
Area of Science:
- Socioeconomics
- Labour Economics
- Digital Economy
Background:
- Digital labour platforms offer flexibility but raise concerns about work quality and inequality.
- Italy's labour market is fragmented with prevalent non-standard employment.
Purpose of the Study:
- Examine the economic and social dimensions of digital platform labour in Italy.
- Identify factors influencing participation and segmentation within the platform workforce.
- Analyze the role of platform work in Italy's fragmented labour market.
Main Methods:
- Utilized official survey data from 2018 and 2021.
- Applied advanced machine learning (ML) and explainable artificial intelligence (XAI) techniques.
- Explored demographic, occupational, and economic predictors of platform work.
Main Results:
- Platform work in Italy is heterogeneous and stratified, reflecting existing labour market fragmentation and regional disparities.
- Economic vulnerability is higher among older workers, not the youngest, due to job instability and income decline.
- Platform work is linked to non-standard employment vulnerabilities (unstable contracts, gender inequality) and acts as income supplementation.
Conclusions:
- Digital platform work in Italy is not a last resort but an adaptive strategy for those with moderate financial strain.
- The COVID-19 pandemic amplified platform work's role as a fallback for the unemployed amidst economic stress.
- Platform work reinforces existing labour market inequalities and vulnerabilities.
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