My research applies computational methods to track and study the spread of narratives on social media discourse. Using a hybrid methodology that combines machine learning with human-led content analysis, I investigate how misinformation and conspiratorial narratives emerge and propagate through online networks.  I also conduct social network analysis to examine online political mobilization, which can influence coordinated actions in the real world. 

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My work can be described as infodemiology ("information epidemiology"), but instead of examining sequences of amino acids to track the spread of viruses, I use sequences of letters to track narratives.

 

See the Journal of Medical Internet Research (JMIR) Infodemiology for further description on the field, where I also serve as an associate editor.