DATALAB Talk: Adversarial coordination
NB: This event has passed
DATALAB hosts talks on a regular basis where researchers present their project, knowledge and results. This time, Associate Professor at the Aarhus University, Riccardo Fusaroli will focus on the dynamics of collective engagement on Twitter during US presidential debates.
The key issue will be:
How can social media mining and NLP be used to understand large scale social phenomena?
About the talk
Riccardo will discuss the role of conflict in the collective dynamics of attentional entrainment and information-spreading on Twitter and the surprising ways in which humans collectively coordinate during mediatic events. The talk will highlight massive collective entrainment in Twitter behaviours and assess competing hypotheses on the role played by displayed dominance, emotional tone and partisanship. Riccardo will [spoiler!] argue that intergroup competition is the main drive between such unprecedented massive coordination.
The study that the talk bases on relies on systematic mining and statistical modeling of the tweets produced during the 2012 and 2016 US presidential elections. The topic is fun, and crosses many disciplines. This means you’re probably going to learn something new and contribute too.
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