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Analyzing and characterizing political discussions in WhatsApp public groups
[article]
2018
arXiv
pre-print
We present a thorough characterization of what we believe to be the first significant analysis of the behavior of groups in WhatsApp in the scientific literature. Our characterization of over 270,000 messages and about 7,000 users spanning a 28-day period is done at three different layers. The message layer focuses on individual messages, each of which is the result of specific posts performed by a user. The user layer characterizes the user actions while interacting with a group. The group
arXiv:1804.00397v1
fatcat:r7gcmicidreozktnn3eajvujcq