Argument

Conclusion

[dryrun-2026-05-04] Confounding factors—including pre-existing homophily, cable-television exposure, partisan elite polarization, and demographic sorting—do not fully account for the observed growth in affective polarization, leaving room for algorithmic effects.

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Argument

Guess et al. (2023) experimentally removed reshared content from Facebook feeds during the 2020 US election, substantially reducing political-news exposure but finding no detectable polarization effect. Resharing is the feature most associated with viral spread and algorithmic amplification on Facebook. Therefore, [conclusion #7]. (Warrant: Absence of polarization effects from removing the most algorithmically-amplified feature provides strong evidence the amplification mechanism is not a significant causal driver.)

⟨ ⟩Argument from Lack of Evidence (Negative Evidence)Concludes that a proposition is (defeasibly) false because, if it were true, evidence for it should by now have been fou

Premises (2)

  • Guess et al. (2023) experimentally removed reshared content from Facebook feeds during the 2020 US election, substantially reducing political-news exposure but finding no detectable polarization effect.
  • Resharing is the feature most associated with viral spread and algorithmic amplification on Facebook.

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Pending critical questions (5)

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  • Is the absence of positive evidence strong enough to justify concluding ¬A, or only to justify withholding belief in A?Open
  • Is the absence of evidence due to absence of investigation rather than to A's being false?Open
  • Could disconfirming or null findings have been suppressed, unpublished, or systematically under-reported (file-drawer / publication bias)?Open
  • Has the investigative regime actually been adequate (well-funded, well-powered, well-designed) to detect E if A were true?Open
  • Could A be true but produce only a weak signal that escapes detection at the prevailing statistical thresholds?Open

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