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Fig 1.

Components of affective polarization.

(a) Affective component: no relation between disagreement and hostility on the left, strong correlation between disagreement and hostility on the right. (b) Social distance component: individuals are randomly connected in the left graph, whereas there are distinguishable, politically aligned communities in the right graph.

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Fig 1 Expand

Fig 2.

Affective component (hostility distribution).

From top to bottom: network where the node color reflects opinion, from –1 (blue), passing 0 (white), to + 1 (red); scatter plot with disagreement on the x-axis and hostility on the y-axis; values of , , , EMDo,y,G, SAIo,y,G, and POLEy,G. The results (in parentheses) denote the lower and upper bound of the 95% confidence interval across 100 repetitions of the experiment.

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Fig 2 Expand

Fig 3.

Affective component (disagreement distribution).

Same legend as Fig 2.

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Fig 3 Expand

Fig 4.

Social distance component.

Same legend as Fig 2.

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Fig 4 Expand

Table 1.

Summary of the synthetic experiments.

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Table 1 Expand

Fig 5.

COVID-19 debate on Twitter.

For each week between February and July 2020, the figure shows: (A) the overall level of affective polarization (), (B) the affective component (), and (C) the social distance component (). (B) and (C) provide a decomposition of the overall affective polarization score shown in (A).

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Fig 5 Expand