Abstract

At Graphika, intelligence analysts and computational researchers work together to investigate malicious disinformation campaigns and extremist groups online. Network science and mapping of complex online networks is central to this work. We recently developed a new multi–modal approach to explore the co-evolution of ideas and communities on Twitter during the COVID –19 pandemic. We will describe our methodology and how it employs network science, topic modeling, and statistical analysis to detect the convergence of online communities around specific topical narratives. We will then elaborate how our results lead to new insights about the spread of health mis- and disinformation within conspiratorial communities in the spring and early summer of 2020.

Related Links:

blog: https://graphika.com/posts/q-tips-measuring-the-mainstreaming-of-qanon-during-the-pandemic/

paper: https://arxiv.org/ftp/arxiv/papers/2007/2007.03443.pdf

RECORDING : Please note, this event will be recorded and will be available after the event for an indeterminate period under a CC BY -NC-ND license. Audience members should bear this in mind before joining the webinar or asking questions.