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This research aims to explore the psychosocial effects of algorithmic systems on individuals in digital contexts, conceptualizing Algorithmic Alienation.

May 8, 2026BMC PsychologyOpen Access

From algorithms to the self: understanding algorithmic alienation in the digital age

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This research aims to explore the psychosocial effects of algorithmic systems on individuals in digital contexts, conceptualizing Algorithmic Alienation.
Qualitative design with four focus groups (N = 20)
Participants aged 18–30 and 31–50
Data collected via semi-structured interviews and analyzed using reflexive thematic analysis.
Participants recognized algorithmic steering leading to illusory choice, diminishing decision-making habits.
Exposure was linked to identity ambiguity and feelings of emotional discomfort.
Resistance strategies were reported, such as selective content searching and reduced platform use.

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Implication

Qualitative study explores algorithmic effects on identity and decision-making, suggesting increased transparency is needed.

Cite This Study

Arkan et al. (2026) studied this question.

synapsesocial.com/papers/69fd7ec6bfa21ec5bbf0719b https://doi.org/10.1186/s40359-026-04677-1

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From algorithms to the self: understanding algorithmic alienation in the digital age

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Discussion

Implication

Cite This Study

From algorithms to the self: understanding algorithmic alienation in the digital age

Key Points

Discussion

Implication

Cite This Study

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