Framework, data and results of the twitter analysis of "social bots, fake news and filter bubbles"
The core of the twitter scraper is in the
example 1: Searching for Hashtags/Words
What about the other data?
Well, I was sure it would be much easier to publish the data. But basically there are 3 problems:
- I’m not allowed to publish raw data, because it violates the Twitter Developer Guidelines.
- I couldn’t find cheap storage.
- It's hard work, I usually try to focus on 20 projects simultanously, so I don't know what you need.
At least I published the metadata of 1.6 million german Twitter accounts: https://zenodo.org/record/1135171
So here is the deal:
If you need anything else, or if necessary data, code or documentation is missing, just open a GitHub issue and I’ll try to fix that!