For now though, I just want to learn how to make a twitter bot.
There are many ways to do this. I'll try different ways until I'm very familiar with making Twitter bots.
Create a twitter bot using Python.
The aim is to create a twitter bot that will find top data scientists to follow, and retweet the best tweets among their tweets.
The bot should be generalizable to other fields.
In other word, a bot that can follow most informative people of a specific field and retweet their tweets. This can help people get information easier without having to figure out who to follow.
Let's call it Bod for now. Bod stands for "Bot of data science".
Bod looks for its friends tweets that have existed for at least 24 hours but no more than 48 hours. Bod ignores any retweets and reply-tweets, and gives a popularity score to each tweet. Bod will then retweet the top 5 tweets. It does this every day.
Popularity is measured by the ratio of the combined counts of likes and retweets to the number of followers.
- Dealing with tweets that are replies to other tweets
- Should the popularity scores get combined or what?
- There are quality reply-tweets, but dealing with them requires aggregating related tweets somehow and potentially violating the time constraint that ensures the freshness of the tweets.
- Cannot auto-follow people. This part is done manually at the moment
- At some point, Bod needs to grow up and know how to find good people to follow by itself.
This is what make Bod a robot. It's running on Azure.