User:Rita Graca/gradproject/prototyping/twittertrends
Twitter trends
API
Cancel culture happens in Twitter through design features such as hashtags and trending topics.
To investigate better this movement, I understood I had to inform myself about which topics/people/things were being cancelled, how was the engagement with this topic, what were the language and strategies used.
1. Using the Twitter API I could get the current trends in the US.
Steps:
- Create a Twitter developer account
- Get keys and tokens from Twitter
- Install Ruby
- Install Twurl
- Install JQ to read JSON
- Use the command line
twurl "/1.1/trends/place.json?id=23424977" | jq
2. I was only interested in the trends related to cancel culture, so I used Python to develop the script a bit more.
Steps:
- use python library Tweepy
- get trends
- look for trends with words related with cancel culture
3. It was useful to save the trends. Instead of saving them in a .txt file, it made more sense to post them back in a Twitter account.
Steps:
- Create a status with the search results (a status is a tweet in the library)
To make it look for trends regularly I created a cron job on my computer.
46 * * * * /usr/local/bin/python3 /Users/0972516/desktop/ritaiscancelled/trends.py
Outcome: The account @CancelledWho looks for trends related to my topic and posts them. This way I can be always monitoring an important topic of my research.
Get trends from historical archive
Use existing database
Scrape from existing website
(less accurate, abandoned)