User:Rita Graca/gradproject/prototyping/twittertrends: Difference between revisions
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===Use existing database=== | ===Use existing database=== | ||
===Scrape from existing website | ===Scrape from existing website=== | ||
(less accurate, abandoned | (less accurate, abandoned |
Revision as of 21:29, 3 December 2019
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.
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
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
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