Detect dormant bots on Twitter within the network of some given account.
Keep in mind that this is just a hackathon proof of concept. No one is saying that any account bearing these features is necessarily a dormant bot. However, manual classification has proven that even with such naive conditions, around 85% of detected accounts do indeed seem to be inauthentic.
- Max 15 tweets
- Ratio Friends/Followers > 3
- Created after Feb 01 2019
In the file .env
:
- Specify your Twitter credentials:
CONSUMER_KEY=<TWITTER_CONSUMER_KEY>
CONSUMER_SECRET=<TWITTER_CONSUMER_SECRET>
ACCESS_TOKEN=<TWITTER_ACCESS_TOKEN>
ACCESS_TOKEN_SECRET=<TWITTER_ACCESS_TOKEN_SECRET>
- Specify the MongoDB url:
MONGO_URL=mongodb://localhost/TwitterGraphExplorer
- Specify the Twitter handle of the seed user, that is the user from whom the graph exploration will start:
USER_SEED=ndpnt
Install dependencies:
npm install
Insert the seed user:
node firstUserToExplore.js
Start the detector:
node jobsRunner.js
You also can start a web UI to display a counter of dormant bots found:
npm start
As result, the script stores every account matching the given conditions in a twitterusers
collection.
It also stores every encountered account in a backup collection to allow changing features and rerun the detector locally without calling the Twitter API.