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| ==Twitter trends==
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| === API ===
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| Cancel culture happens in Twitter through design features such as hashtags and trending topics.</br>
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| 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.
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| '''1. Using the Twitter API I could get the current trends in the US.'''
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| Steps:
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| *Create a Twitter developer account
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| *Get keys and tokens from Twitter
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| *Install Ruby
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| *Install Twurl
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| *Install JQ to read JSON
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| *Use the command line
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| twurl "/1.1/trends/place.json?id=23424977" | jq
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| '''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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| Steps:
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| *Use Python library Tweepy
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| *Get trends
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| *Look for trends with words related with cancel culture
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| '''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.'''
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| Steps:
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| *Create a status with the search results (a status is a tweet in the library)
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| '''4. To make it look for trends regularly I created a cron job on my computer.'''
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| 46 * * * * /usr/local/bin/python3 /Users/0972516/desktop/ritaiscancelled/trends.py
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| '''Outcome:'''</br>
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| 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.
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| <source lang="python">
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| #!/usr/bin/python
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| import tweepy
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| import key # this is a pyhton file with my API passwords
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| import time
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| # using the passwords to OAuth process, authentication
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| auth = tweepy.OAuthHandler(key.consumer_key, key.consumer_secret)
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| auth.set_access_token(key.access_token, key.access_token_secret)
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| api = tweepy.API(auth)
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| trends1 = api.trends_place(23424977) # american woeid id
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| trends = set([trend['name'] for trend in trends1[0]['trends']]) # just getting the name, not timestamp, author, etc.
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| trendsLower = [item.lower() for item in trends] # makes everything lowercase, important for then to match with cancelwords.txt
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| trendsLine = '\n'.join(trendsLower) # makes it more readable, puts the names with line breaks
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| #print(trendsLine)
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| cancelwords = ["cancelled", "canceled", "cancel", "isoverparty", "booed", "boycott"]
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| #print(cancelwords)
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| for line in trendsLine.splitlines():
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| #print(line)
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| for word in cancelwords:
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| if word in line:
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| try:
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| status = "Who are we fighting today? " + line
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| print(status)
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| api.update_status(status) # Creates a tweet, a status is a tweet
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| time.sleep(5)
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| except tweepy.TweepError as e: # the error is occuring when the last status is the same
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| print("ups, you already tweeted this")
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| break
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| # time.sleep(3600) # so the script will wait 1h to run again if catches error
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| </source>
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| [[File:Bot timeline.png|400px|thumb|left|Outcome]]
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| <br clear=all>
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| ===Get trends from historical archive===
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| ===Use existing database===
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| ===Scrape from existing website===
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| (less accurate, abandoned)
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