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Final Project
Page last edited by Sune Lehmann Jørgensen (sljo) 27/11-2014
Overview The purpose of the final project is to measure what makes human Twitter accounts susceptible to follow social bots. Since we're currently infecting Twitter with an army of artificially intelligent social bots, we have a unique opportunity to measure which properties (e.g. age, # of followers, types of hashtags, etc) that make human accounts susceptible to follow social bots.
The data material will be accounts you have attempted to follow, both successfully and unsuccessfully.
The final project is your chance to show what you have learned during the course, so I expect you to use (some of) the skills you have learned during the course, along with basic math and statistics to figure out what characterizes susceptible Twitter users.
Literature There is some literature on the topic. You may use the papers listed below (or anything else you can find on twitter) in order to get ideas on what to measure
Final project, part A. Five minute presentations Present your bot and your plans for understanding susceptibility. In a 3-5 minute presentation for the class. There are two options for presenting. This assignment is due Tuesday November 11th 11:59.
Option A Is a 3-5 minute movie. The movie should
But other than that, there are no constraints. And we do appreciate funny/inventive/beautiful movies, although the academic content is most important. Note that we'll display the movie to the entire class. Evaluation will reflect how well you have managed to achieve the requirements above.
Option A* If you don't like movies, you may also do an old fashioned presentation in the Ignite Format. The talk must contain same elements as the movie described above.
It is possible to include a lot of material into 5 minutes of presentation, so you’ll need to put some effort into developing your idea. We highly recommend practicing the talk before you show up so you’re used to the autoforwarding, etc. Final project, part B. Written report Is a short report. There is no fixed length - the general rule
is that it should be as short and precise as possible (we have to
read a lot of pages, so good, precise writing is rewarded). The
report should also be long enough to clearly explain what you've
done - we cannot give you credit for work we don't know about. In
practice this usually translates to between 6 - 10 pages in the ACM
SIG Proceedings Template (see below), but shorter/longer is also OK
if there is a good reason.
The report should contain the following sections (not
necessarily in the order listed below)
Format:
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