Argument

Conclusion

User self-selection is the dominant filter determining content consumption on Facebook, though the 5-8 percent algorithmic reduction in cross-cutting content does not directly bound the affective polarization impact because the hostility dimension of marginal content may matter more than ideological balance.

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Argument

[NARROW-VARIANT] Bakshy, Messing, and Adamic (2015) measured ideological exposure among 10.1 million US Facebook users and found that individual choice had a stronger role than algorithmic ranking in limiting cross-cutting content exposure. Users' click-through choices reduced cross-cutting content consumption by 17% for conservatives and 6% for liberals, while algorithmic ranking reduced it by approximately 5-8%. Eady et al. (2019) found that most US Twitter users are exposed to substantial cross-cutting political content and only a small minority live in tight echo chambers. Therefore (narrowed), User self-selection is the dominant filter determining content consumption on Facebook, though the 5-8 percent algorithmic reduction in cross-cutting content does not directly bound the affective polarization impact because the hostility dimension of marginal content may matter more than ideological balance.

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Premises (3)

  • Bakshy, Messing, and Adamic (2015) measured ideological exposure among 10.1 million US Facebook users and found that individual choice had a stronger role than algorithmic ranking in limiting cross-cutting content exposure.
  • Users' click-through choices reduced cross-cutting content consumption by 17% for conservatives and 6% for liberals, while algorithmic ranking reduced it by approximately 5-8%.
  • Eady et al. (2019) found that most US Twitter users are exposed to substantial cross-cutting political content and only a small minority live in tight echo chambers.

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