Abstract
Fact-check spread is usually performed by a plain tweet with just the link. Since it is not proper human behavior, it may cause uncanny, hinder the reader’s attention and harm the counter-propaganda influence. This paper presents a profile of fact-check link spread in Twitter (suiting for TRL-1) and, as an additional outcome, proposes a preliminary behavior design based on it (suiting for TRL-2). The underlying hypothesis is by simulating human-like behavior, a bot gets more attention and exerts more influence on its followers.
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CITATION STYLE
Marcondes, F. S., Almeida, J. J., Durães, D., & Novais, P. (2020). Fact-Check spreading behavior in twitter: A qualitative profile for false-claim news. In Advances in Intelligent Systems and Computing (Vol. 1160 AISC, pp. 170–180). Springer. https://doi.org/10.1007/978-3-030-45691-7_16
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