Assesses journalism students' feelings of being spied on by digital platforms, indicating a need for ethical training.
Background: The growing use of big data and algorithmic personalisation in political communication has intensified concerns about surveillance, privacy, and manipulation. Although previous research has examined these issues among the general public, much less is known about how journalism students—future professionals who have grown up in data-fied environments—perceive them. This study investigates the extent to which these students feel ‘spied on’ by digital platforms and online media, how such perceptions influence their trust in media, platforms and political actors, and what attitudes they hold regarding the ethical use of data in journalism. (2) Methods: Based on a survey of 222 journalism students, the research analyses perceptions of digital surveillance, awareness of political microtargeting, and attitudes toward the ethical use of audience data in journalism practice. A qualitative component, through focus groups, complements the survey by exploring ethical reflections on algorithmic tracking and journalistic responsibility. (3) Results: The findings reveal a widespread distrust of social networks and political actors and a more moderate scepticism toward the news media. Students express strong ethical concerns about data use and algorithmic personalisation, particularly in political communication and in relation to their future professional roles. (4) Conclusions: The study suggests that journalism students show critical awareness of algorithmic personalisation. Their perceptions highlight the need for academic training in transparency, consent, and accountability in data-driven practices.
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Fernández-Barrero et al. (2026) studied this question.
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