Sentence examples for gender users from inspiring English sources

For male users we observe a more balanced pattern, while we still find that users with many friends prefer to befriend opposite gender users.

Also in line with offline studies [34], the tendency to form knit groups of same gender users is specially high for young teenagers, and decreases with age, with a sharper pattern for female users.

For instance, when you play Candy Crush Saga on Facebook currently the most popular game on the social network the developer, King, has access to what Facebook describes as "your basic information," which includes your name, profile picture, gender, user I.D., friends, and "any other information you made public".

Included metrics include demographic information like user gender, user engagement times, and A/B testing.

This includes detailed data of demographics based on geographic location, age groups, gender, user engagement times and other variables.

As casual and social gaming on FacebooKontagentes to rise, Kontagent's deeplatformics will be able to capitalize on this givesh.

As we've written in the past, Kontagent's real-time platform gives Facebook app developers, game studios and publishers detailed data of demographics based on geographic location, age groups, gender, user engagement times, social event interaction and other variables.

Kontagent's platform gives Facebook app developers, game studios and publishers detailed data of demographics based on geographic location, age groups, gender, user engagement times, social event interaction and other variables.

The gender of users and non-users was similar (χ2 = 0.15, df 1, p = 0.696) as were the average ages of users and non-users (respectively mean = 38.0 years and 36.8 years; t = 0.78, df 126, p = 0.44).

In subgroup analysis with gender, HD users still reported significantly higher euphoria after onset and usual use of MA than LMD users, no matter male or female, with all P values smaller than 0.01.

A study commissioned by tech website Mashable has found that in the US and Australia, far more men than women have been verified, likely disproportionate to the gender of users.