Project Details :
Uncovering Correlated Activity on French Twitter
Laboratory : LSIR | Semester | Proposal |
Description:
It’s time to put the detective hats on and venture forth! Digital Sherlocks to the rescue!
France has seen major events in last 3 years, a brand new leader, a movement to depose this brand new leader and a victory of a not so brand new leader.
All meddled with trolls and bots which we will expose in this fun project!
Briefly you will do the following:
- Uncover content promoters with correlated activity.
- Identify which content they promote.
- Come up with a framework to track such correlated activity in an automated fashion relying on free Twitter API.
- Study the potential impact of artificial promoting. (Optional)
Potential resources: https://arxiv.org/pdf/1707.00086.pdf
Deliverables: datasets, codebase, results of analysis, a nice presentations with visualizations that you can do interpretations on.
Requirements: Data analysis skills in Python and Pandas and interest in the topic. French language is required.
Contact: | Tugrulcan Elmas |