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

    Cite as: Raksit, Joyita (2021): Subjection in the human:non-human encounter tweets and code. Birkbeck College, University of London. doi: https://doi.org/10.18743/DATA.00158

    Description

    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.

    Collection Method

    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

    Data Objects

    Offline / Analogue Data Records

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    External Data Records

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    If you have any questions or would like additional information, please contact us at researchdata@bbk.ac.uk.

    Full Archive

    Metadata

    Dataset Title:

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

    Raksit, Joyita
    School/Department:

    Birkbeck Schools and Research Centres > School of Social Sciences, History and Philosophy > Psychosocial Studies
    Data collection method:

    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
    Collection period:

    FromTo
    1 June 20211 July 2021
    Temporal coverage:

    FromTo
    1 January 20161 July 2020
    Statement on legal, ethical, and access issues:

    Ethical Approval has been provided by Birkbeck Ethics Board, and Twitter authorised this project to use their Academia Research API.
    Depositing User: Joyita Raksit
    Date Deposited: 09 Sep 2021 13:34
    Last Modified: 01 Jul 2022 15:16
    Publisher: Birkbeck College, University of London

    Export / Share Citation

    Cite as: Raksit, Joyita (2021): Subjection in the human:non-human encounter tweets and code. Birkbeck College, University of London. doi: https://doi.org/10.18743/DATA.00158

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