User self-selection quantitatively dominates algorithmic filtering in determining ideological exposure on Facebook, and direct experimental tests of the algorithmic increment beyond homophily find no significant effect on affective polarization, supporting the conclusion that the incremental algorithmic contribution does not meet the 10 percent threshold.

[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 quantitatively dominates algorithmic filtering in determining ideological exposure on Facebook, and direct experimental tests of the algorithmic increment beyond homophily find no significant effect on affective polarization, supporting the conclusion that the incremental algorithmic contribution does not meet the 10 percent threshold.

• 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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• Are there other events or causes that could account for the presence of the sign?Open
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