Skip to the content.

Does the users interact with each other?

This was one of our research questions, and a lead where it was possible to find some patterns in whether one can detect if a user is a troll. If you want to skip to that part, click here.

Distribution of all users

DIstribution of the users that interact and have interactions

Disclaimer: The number of users that have been interacted with by others are skewed in this plot. The green bars could and should probably be a little bit higher, especially remarked in the bucket (0,10]. This is because the number of times a tweet is retweeted, quoted or replied to is wrong a few places. Check out our notebook if you want to learn more. The blue bars still account for what it is meant to be.

Cumulative distribution of how the trolls interact to other trolls

Cumulative distribution

To interpret this visualization:

In conclusion, yes they do interact with each other, and some of them does it a whole lot. As we saw in how we made the tag of bot-likely users, many users also tweet exactly the same content as well, meaning that users also are connected in other forms than through interactions.

Since he trolls clearly are interacting as an unit, we divided them into a range of categories to try to find out how normal users could detect them.

Since the user with under 10 tweets are almost invisible to most of normal Twitter users and only half of them have ever interacted as well, we remove them for the main categorization of users. Most people will never even see those trolls, and users that never get more than ten tweets are likely not impacting Twitter users at all.

Therefore the next analysis will contain users that have a minimum of capability of impacting the general discussion, since they are or have been active at all, with that definition only being reaching a number of over 10 tweets.

More on this on this page.


Was this interesting? Check out our other analysis:

Back to start page