\thechapter Introduction
Table 6: 20-top topics of user’s interests
['[BOLD] Topic', '[BOLD] Sub-Topics', '[BOLD] #Users']
We extracted the information about topics of interests for active users using the Who Likes The produced topics are derived from the list of friends (other users the user is following) of each user. Then, we sort the produced topics based on their frequency to obtain the 20 most common topics from Twitter users, including them as binary variables (1 if the user is interested in this topic, 0 otherwise). We manually cleaned several top topic labels following the same procedure as nilizadeh2016twitter. Therefore, we merge topics like businesses and biz, group topics into similarity (e.g. celebrities and famous, actors and actor), and remove some topics like best, br, bro, new.