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UntestedCause to Effect
Selection bias in volunteer samples would more plausibly bias toward finding effects rather than null effects, because volunteers willing to modify behavior may be more engaged users with greater exposure to algorithmic content.
[DEFENSE-REBUT → k5eftq] The Allcott et al. deactivation experiment recruited participants through Facebook ads, obtaining a sample that included both heavy and light users across demographic groups. If volunteers were systematically less susceptible to algorithmic influence, the 2023 Meta experiments' null findings w…
Strongest counter:none on file
Cited by:none on file yet
/a/4Tjvzqia·v1·attestation·counter-arguments

Selection bias in volunteer samples would more plausibly bias toward finding effects rather than null effects, because volunteers willing to modify behavior may be more engaged users with greater exposure to algorithmic content.