Table 3 Users’ characteristics and clusters in co-followers’ network, quality of content, and tweeting from news websites.

From: Cognitive reflection correlates with behavior on Twitter

 

(a) Membership in cluster 2

(b) Tweeted news websites?

(c) Quality of news sites shared

 

OR (SE)

OR (SE)

β (SE)

CRT

0.545** (0.208)

1.135* (0.050)

0.078* (0.034)

Age

3.463*** (0.151)

1.389*** (0.051)

−0.013 (0.038)

Gender (female)

16.38*** (0.294)

1.163** (0.050)

0.001 (0.031)

Ethnicity (white)

1.014 (0.239)

1.026 (0.051)

−0.004 (0.04)

Political ideology (conservatism)

1.308 (0.185)

0.784*** (0.050)

−0.177*** (0.046)

US residency

0.923 (0.342)

1.006 (0.049)

−0.078* (0.036)

Education (college degree)

1.498* (0.193)

1.076 (0.051)

0.055 (0.039)

Income

0.230*** (0.232)

0.96 (0.051)

0.025 (0.038)

Log (time to complete the survey)

0.332*** (0.157)

0.857** (0.051)

−0.07* (0.031)

  1. (a) Logistic regression predicting which cluster the account belongs to using the average characteristics of their followers in our sample (threshold of number of followers from our sample K = 25). (b) Logistic regression predicting if the user tweeted from news websites. (c) Linear regression predicting quality of news sources contained in each tweet based on the 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). Variables used in (a) are aggregated over followers characteristics. p values are reported using two-tailed z-test for (a) and (b) and using two-tailed t test for (c) (*p < 0.05, **p < 0.01, ***p < 0.001; see Supplementary Tables 1114 for exact p values and detailed statistical analysis). Statistically significant results are shown in bold.