russian-troll-detector's Introduction

russian-troll-detector

A system that returns the likelihood of a given Twitter account to be a Russian troll.

There is evidence that Russia’s Internet Research Agency attempted to interfere with the 2016 U.S. election by running fake accounts on Twitter—often referred to as “Russian trolls”. In this work, we: 1) develop machine learning models that predict whether a Twitter account is a Russian troll within a set of 170K control accounts; and, 2) demonstrate that it is possible to use this model to find active accounts on Twitter still likely acting on behalf of the Russian state.

How to build

1.Clone the repository.

git clone https://github.com/trusttri/russian-troll-detector.git

Or if you clone from your forked one,

git clone https://github.com/[YOUR USERNAME]/russian-troll-detector.git

2.Install virtualenv

pip3 install virtualenv

3.Create & activate your virtualenv and install the needed python packages.

Go to russian-troll-detector/

cd russian-troll-detector/

Create a virtualenv. You may name it as you wish, here we use "rtenv (russian troll env)"

(Note: Built with python 3.7. If you use a different version and find issues, please ping us!)

virtualenv -p python3.7 rtenv

Activate the virtualenv

source rtenv/bin/activate

Now you will see your terminal like the following:

(rtenv) ~$

Install the needed python packages. Everything including Django is included in requirements.txt so just run the following.

(rtenv) ~$ pip install -r requirements.txt

4.Run the server

(rtenv) ~$ python manage.py runsever

Visit http://localhost:8000/

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