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. 2022 Mar 7;6(3):e32752. doi: 10.2196/32752

Table 1.

Engagement with and sentiment of popular tweets about Asperger according to the time points when they were posted and the type of information provided.

Category of engagement Time point when the tweet was posted t testa P value Type of information provided P valueb

Before Musk’s disclosure (n=34), mean (95% CI) After Musk’s disclosure (n=193), mean (95% CI)

Provides information (n=13)c, mean (95% CI) Neutral tweets (n=210)d, mean (95% CI) Contains misinformation (n=4), mean (95% CI)
Comments 254.15 (87.08 to 331.46) 44.88 (–74.63 to 493.16) 3.375 <.001 68.77 (–43.36 to 180.93) 77.96 (30.12 to 125.79) 9.50 (–0.77 to 19.77) .81
Retweets 494.47 (–28.30 to 635.65) 190.80 (–321.57 to 928.91) 1.803 .001 146.66 (–47.94 to 340.86) 246.00 (117.76 to 374.23) 18.25 (–7.29 to 43.79) .59
Likes 7058.00 (1734.96 to 10,443.57) 969.44 (–4483.23 to 16,661.76) 2.756 .001 824.00 (–216.54 to 1864.54) 1980.41 (277.11 to 3683.72) 124.75 (–26.96 to 276.46) .26
Sentiment 0.12 (–1.42 to 1.08) 0.29 (–1.29 to 0.95) 0.272 .22 –1.46 (–3.20 to 0.28) 0.38 (–0.09 to 0.84) 0.00 (–2.60 to 2.60) .21

adf=225.

bP value obtained from the Kruskal-Wallis test.

cExample of a tweet that provides information: “Not all autistic people (including people with Asperger’s diagnoses) are white, male techie types. Some of us are poets. Some of us are even women.”

dExample of a neutral tweet: “Elon Musk reveals he has Asperger’s syndrome during SNL monologue.”