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[#OSINT] You can use Twint to find indirect relationships between users. By matching the “conversation_id” to multiple queries, you can discover more insight.
For example, let’s say you’re trying to find violent users on Twitter that are threatening an influencer. Twitter only limits you to search for “influencer name” + “violent keyword”. Using Twint, you can search for all “violent keywords” and then match it to influencer mentions
You can also mine replies within Twint. It’s not in the Wiki, but adding “c.To =“ to your python module will allow you to pull tweets sent “to” someone. By finding the accounts that most mention said influencer, you can take this a a step further
It’s important to mention the necessary excel or equivalent skills you have to have to filter this information via csv to make the data usable. This is also the case with json or SQLite.
I’m building a script right now using the Twint library that has a easy to use UI for the explained process above. DM me for details. Github repo coming soon! Thanks for the tips @noneprivacy
