From:  Behavioral signature of the Algorithmic Self in AI-filtered digital environments

 Behavioral signature of the Algorithmic Self (ASBSS domains), classification of ASS, and Pearson correlation analysis with ASS.

VariableMean ± SD/n (%)Scale range
Algorithm-optimized self-presentation28.7 ± 5.38–40
Content modification for visibility21.4 ± 4.86–30
Engagement maximization behaviors18.2 ± 4.15–25
Emotional regulation based on algorithm feedback14.9 ± 3.24–20
Identity flexibility toward algorithms17.5 ± 3.95–25
Overall ASS classification
    Low78 (18.5%)0–49
    Moderate176 (41.7%)50–69
    High168 (39.8%)70–100
Pearson Correlation Analysisr [95% CI]p-value
Algorithmic Exposure Score (AES)0.62 [0.55–0.68]< 0.001
    Daily screen time0.48 [0.40–0.55]< 0.001
    Social comparison0.55 [0.48–0.61]< 0.001
    Algorithmic trust0.51 [0.43–0.58]< 0.001
    Platform count0.39 [0.31–0.46]< 0.001
    FoMO0.24 [0.14–0.33]0.002
    Self-esteem–0.41 [–0.49 – –0.32]< 0.001
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ASBSS total score normalized to a 0–100 scale for interpretability. Pearson correlation coefficients represent bivariate associations between ASS and continuous predictor variables.