\thechapter Introduction
Table 10: Differences between tweets from male and female users based on linguistic measures. μ(male) and μ(female) are the median value of the feature for male and female respectively. Statistical significance is count based on Wilcoxon rank sum tests. Linguistic features are extremely significant except from hear (*:=significant) based on p-values.
['[EMPTY]', '[ITALIC] μ( [ITALIC] male)', '[ITALIC] μ( [ITALIC] female)', 'z']
In order to show how demographic groups differ from each other in both gender and race domains, this section presents the absolute difference between groups with respect to various categories of linguistic measures. Additionally, we correlate the produced linguistic features with gender using Wilcoxon rank sum significance tests. On the other hand, males express anger (z=4.733) in their tweets. From social/personal Concerns perspective there is a clear trend on the usage of these features by females more than by males. Also, the predominance of features like friends, social, health, and body show that females express more social and personal concerns in their writing than males. The only feature in this group that is more present in males’ writing is achievement (z=65.265)