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[Commlist] toolkit instant messaging data published

Mon Nov 23 14:47:11 GMT 2020



New toolkit for collecting naturalistic instant messaging data and running controlled experiments


Gregory Mills ((g.j.mills /at/ rug.nl)) and his colleagues have just released a toolkit for collecting naturalistic instant messaging data, as well as running controlled experiments on algorithmically mediated conversation.

The toolkit runs as a bot on the Telegram network, which participants connect to using the Telegram app on their mobile phones. Since all messages between participants are mediated via the toolkit, data is instantly available for analysis - there is no need for participants to send in their data. The toolkit allows high levels of experimental control: Participants can be dynamically assigned to different groups, and experimental instructions (e.g. images, texts, questionnaires) can be sent automatically by the toolkit to the participants in their chat window.

The toolkit allows high-levels of experimental control over the content and timing of participants’ turns. Turns can be selectively reordered, or blocked, e.g. to investigate the effects of shadowbanning. The toolkit also allows individual words, phrases, emoticons, etc. to be filtered from participants' turns. This technique can also be used to insert "spoof" turns into the dialogue, that appear, to participants to originate from each other - allowing direct testing of hypotheses about how participants respond to specific prompts.

In addition, the toolkit provides a set of customizable, (non-Telegram ) chat interfaces for investigating how different interfaces affect online conversations.


The toolkit is open-source and is downloadable at:

http://cogsci.eecs.qmul.ac.uk/diet/

Gregory Mills ((g.j.mills /at/ rug.nl))






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