Technological optimism or automation anxiety? mapping discourses on data scientists job displacement by AI

dc.contributor.author
Samokhina, Olga
dc.date.accessioned
2025-11-13T20:18:43Z
dc.date.available
2025-11-13T20:18:43Z
dc.date.issued
2025-11-12T19:21:37Z
dc.date.issued
2025-11-12T19:21:37Z
dc.date.issued
2025
dc.identifier
http://hdl.handle.net/10230/71874
dc.identifier.uri
http://hdl.handle.net/10230/71874
dc.description.abstract
Treball de fi de Màster en Cultura Digital i Mitjans Emergents (DiCEM)
dc.description.abstract
Supervisor: Javier Diaz Noci
dc.description.abstract
The rapid advancement of artificial intelligence caused widespread public discussions concerning its benefits and risks. AI's impact on jobs is one of the central topics in this debate: while some argue that AI leads to workforce displacement, others adopt the augmentation perspective, considering it an opportunity to enhance human capabilities rather than replace them. This research aims to discover the perceptions and sentiments of data scientists - AI practitioners - regarding AI's ability to replace them. To reach this goal, 784 posts shared on LinkedIn - a platform for professional development and networking - were analysed. With LDA topic modeling and zero-shot sentiment analysis, social media discourses around data scientists' job displacement were mapped. The results demonstrate that specialists consider AI an augmenting technology that does not entirely disrupt their profession but nudges them to upskill and evolve. Simultaneously, a few pessimistic viewpoints associated with fear of layoffs and AI agents' functionality were revealed.
dc.format
application/pdf
dc.language
eng
dc.rights
Llicència CC Reconeixement-NoComercial-SenseObraDerivada 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rights
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Intel·ligència artificial
dc.title
Technological optimism or automation anxiety? mapping discourses on data scientists job displacement by AI
dc.type
info:eu-repo/semantics/masterThesis


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