Understanding the dimensions and violation of privacy in human-algorithm interaction: A self-determination theory perspective

초록

This study qualitatively investigates user responses to privacy invasion by social media algorithms and identifies the fundamental needs that drive the feelings of privacy violation. In-depth interviews with 17 users in the United States revealed that the dimensions of physical, social, informational, and psychological privacy, originally defined in interpersonal communication, can be extended to human-algorithm interaction and are still deemed to be significant by users. Popular episodes of privacy invasions showed three main themes that privacy violation perceptions are grounded upon: lack of choice, non-interpretability of algorithms, and lack of understanding and respect. The three basic human needs for growth and motivation proposed by the self-determination theory (SDT) - autonomy, competence, and relatedness - are extended to understand why these invasions matter to users.

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