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@IKnowTheseWords: A Twitterbot Textual Performance
Author(s) -
xtine burrough
Publication year - 2016
Publication title -
persona studies
Language(s) - English
Resource type - Journals
ISSN - 2205-5258
DOI - 10.21153/ps2016vol2no1art529
Subject(s) - timeline , computer science , social media , vocabulary , process (computing) , world wide web , word (group theory) , popularity , hash function , multimedia , linguistics , psychology , philosophy , archaeology , history , operating system , social psychology , computer security
Twitterbots automate the process of tweeting. They proliferate the social network with messages crafted for hash tags, themes, or replies. @IKnowTheseWords is a bot that I created to assist me in automatically archiving my wordhord from the “OED Word of the Day” database as an online Twitter performance. As such, the bot is a helper-agent that serves words to my Twitter timeline, one day at a time. Consequently, it is essential that I talk back to the bot, letting it know (and anyone else who views these tweets and replies) which words should be included in my personal archive. This process will take years as the bot and I perform the tasks: Tweeting a word from the OED, sorting each word, and capturing those words that are part of my current vocabulary using a Twitter archiving Google spreadsheet. With two “I”s involved in the process of knowing—or not—these words, @IKnowTheseWords speaks predictably and intelligently as a bot and randomly, with culturally specific musings as the “I” who replies to each tweet. In this case study I arrive at a philosophical understanding of how the project made a theoretical pivot as a result of its current processing and performance with emerging media tools.