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AECT 2022 Convention Page
X (Twitter)
This multiple case study investigates Twitter conference participants’ online discourse. Twitter archive from a digital conference was collected using its official hashtag. Total 1,782 tweets were analyzed to identify conference participants’ unique activities at the individual level. Subsequently, 373 tweets with replies were analyzed to identify the same types of activity among conversations. Among 293 participants, top five users were selected for this multiple case study. These users’ tweets explain about 21% of initial tweets.
Presenter: Hajeen Choi, Bowling Green State University
Presenter: Ji Yae Bong, Concordia University, Montreal
Presenter: Zhichun Liu, The University of Hong Kong