Table 5 Relationship between users’ characteristics and the use of words in different LIWC categories in tweets.

	Insight	Inhibition	Positive emotion	Negative emotion	Moral	Political
	OR (SE)	OR (SE)	OR (SE)	OR (SE)	OR (SE)	OR (SE)
CRT	1.138* (0.025)**	1.133* (0.028)**	0.966 (0.029)	1.124* (0.029)**	1.078* (0.017)**	1.167 (0.056)**
Age	0.955 (0.026)	1.100 (0.031)**	1.118* (0.028)**	0.933* (0.031)	1.081* (0.021)**	1.32* (0.062)**
Gender (female)	0.973 (0.023)	0.991 (0.03)	1.200* (0.025)**	0.953 (0.026)	1.018 (0.02)	0.882* (0.059)
Ethnicity (white)	0.985 (0.018)	0.966 (0.018)	1.068 (0.02)**	0.954* (0.02)	0.964 (0.021)	0.900* (0.041)
Political ideology (conservatism)	0.880* (0.027)**	0.893* (0.032)**	1.079* (0.03)	0.862* (0.03)**	0.945 (0.018)**	0.777* (0.071)**
US residency	1.032 (0.02)	1.074 (0.023)**	0.924* (0.022)**	1.056* (0.024)	1.022 (0.02)	1.245* (0.053)**
Education (college degree)	1.050* (0.025)	0.991 (0.034)	0.961 (0.028)	1.013 (0.028)	1.012 (0.019)	0.994 (0.059)
Income	0.995 (0.026)	1.006 (0.039)	0.945* (0.027)	0.999 (0.029)	0.989 (0.021)	0.970 (0.057)
Log (time to complete the survey)	1.047 (0.026)	1.06* (0.028)	0.935* (0.028)	1.033 (0.028)	1.015 (0.018)	1.153 (0.046)**

Results are generated using logistic regression model predicting if each tweet has at least one word from a given category based on users’ characteristics, including month fixed effects and clustering standard errors on user. Variables coded as follows: gender (0 = male, 1 = female), ethnicity (0 = non-white, 1 = white), political ideology (1 = strong liberal, 5 = strong conservative), US residency (0 = non-US, 1 = US), education level (0 = less than college degree, 1 = college degree or higher), income (1 = lowest income group in the participant’s country, 10 = highest income group in the participant’s country), and time to complete the survey (log-transformed time to complete the survey, in seconds). p values are reported using two-tailed z-test and without adjustment for multi-comparison (*p < 0.05, **p < 0.01, ***p < 0.001; see Supplementary Tables 16–21 for exact p values and adjustment for multi-comparisons). Statistically significant results are shown in bold.

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