User:Rita Graca/gradproject/prototyping/twittertrends: Difference between revisions

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Cancel culture happens in Twitter through design features such as hashtags and trending topics.</br>
Cancel culture happens in Twitter through design features such as hashtags and trending topics.</br>
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.
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.
Using the Twitter API I could get the current trends in the US.
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   twurl "/1.1/trends/place.json?id=23424977" | jq
   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.
I was only interested in the trends related to cancel culture, so I used Python to develop the script a bit more.
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*get trends
*get trends
*look for trends with words related with cancel culture
*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.
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.

Revision as of 21:30, 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)