Subjection in the human:non-human encounter tweets and code

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dissertation-code.zip

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declarationSetClusterResults.zip

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declarationDataSet.zip

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controlDataSet.zip

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controlSetClusterResults.zip

full_archive archive 112 disk0/00/00/01/58 2021-09-09 13:34:29 2026-04-14 11:12:21 2021-09-09 13:34:29 data_collection show Raksit Joyita Subjection in the human:non-human encounter tweets and code SS psysoc public The data was collected as part of a dissertation project for the MA Psychoanalytic Studies 2020-2021. The project is entitled "Subjection in the human:non-human encounter". The purpose is to understand the emotional and psychological reactions of a human encountering a non-human, and how it affects their process of subjection. The Twitter Academia API was used to search for tweets with the phrase "you are a bot", and the surrounding "threads" of the tweets were collected for contextual conversation data. The tweets were transformed into semiotic tweets which accentuated the psycholinguistics markings of the text using a series of original techniques detailed in the java code named dissertation-code. The transformed tweets were then clustered using K-means algorithm to try and decipher the range of emotional reactions twitter users had when realising they were encountering a bot. The results of the clustering are in the data set, as well as the code used to perform the clustering. 2021-09-03 Birkbeck College, University of London 10.18743/DATA.00158 yes 2031-09-09 Student data. Check if still linked/used. metadata_and_data_files The Twitter Academia API was used to search for tweets with the phrase "you are a bot"; 122299 tweets from June 2016 to June 2021 were collected, these are named the declaration set. The code to collect the data is available in the data under the "dissertation code" folder - java was used to pull data from twitter's academic API. The surrounding "threads" of the tweets were collected for contextual conversation data; 112294 tweets were collected, and they are named the control set. The results of the clustering are also enclosed, the process used to create the clusters are in the java code uploaded Ethical Approval has been provided by Birkbeck Ethics Board, and Twitter authorised this project to use their Academia Research API. 2021-06-01 2021-07-01 2016-01-01 2020-07-01