This zine examines 15,042,470 public tweets containing the word “faggot” posted to Twitter between the years of 2006 and 2022 for the word’s usage in all of its facets — the pejorative, the casual, the consensual — across religion, politics, pop culture, and everyday conversation. Machine learning models have been employed to discover the hidden semantic structures within the texts — as well as to identify the sentiment behind each individual text — to arrive at a visual narrative of the reciprocal relationship between societal attitudes and semantic drift in the direction of reclamation within the microcosm of Twitter.
FAGGOT – Data Digest 0001

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Zine Size: A5
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Due to exchange rates between countries and fees we offer an approx zine cost price range so cannot be 100% accurate but was correct at the time of submission to the database.
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