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From algorithms to the self: understanding algorithmic alienation in the digital age
Burcu Arkan1, Yalçın Kanbay2, Aysun Akçam3
1Psychiatric Nursing Department, Faculty of Health Sciences, Bursa Uludag University, Bursa, Turkey. burcuarkan@uludag.edu.tr.
Algorithmic systems in digital environments can lead to Algorithmic Alienation, characterized by diminished autonomy and identity ambiguity. Participants experienced reduced decision-making and emotional disconnection due to automated content, prompting resistance strategies.
Area of Science:
- Digital Environment Studies
- Human-Computer Interaction
- Psychosocial Research
Background:
- Explores the psychosocial impact of algorithmic systems on individuals.
- Introduces Algorithmic Alienation as a framework for understanding these effects.
Purpose of the Study:
- To investigate the psychosocial effects of algorithmic systems.
- To conceptualize and refine the framework of Algorithmic Alienation.
Main Methods:
- Qualitative design with four focus groups (N=20), ages 18-50.
- Semi-structured interviews in Turkish, analyzed using reflexive thematic analysis.
- Emphasis on researcher reflexivity and analytic dialogue for interpretive depth.
Main Results:
- Participants recognized algorithmic steering and illusory choice.
- Experienced weakened decision-making, reliance on automated content, and identity ambiguity.
- Reported detachment, emotional discomfort, and developed resistance strategies like reducing platform use.
Conclusions:
- Algorithmic environments influence consumption, self-perception, and agency.
- Algorithmic Alienation is a subjective experience of diminished autonomy, blurred identity, and emotional disconnection.
- Highlights the need for algorithmic transparency, digital literacy, and cross-cultural research.
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