User:Rita Graca/gradproject/prototyping/twittertrends: Difference between revisions
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twurl "/1.1/trends/place.json?id=23424977" | jq | 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.''' | '''2. 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 | ||
'''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.''' | '''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.''' | ||
| Line 30: | Line 32: | ||
Steps: | Steps: | ||
*Create a status with the search results (a status is a tweet in the library) | *Create a status with the search results (a status is a tweet in the library) | ||
'''4. To make it look for trends regularly I created a cron job on my computer.''' | '''4. 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 | 46 * * * * /usr/local/bin/python3 /Users/0972516/desktop/ritaiscancelled/trends.py | ||
'''Outcome:'''</br> | '''Outcome:'''</br> | ||
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. | 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=== | ===Get trends from historical archive=== | ||
Revision as of 21:34, 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.
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)
4. 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)