We build theoretical models to investigate how content gets online attention, who adopts it, and who can influence the process.
evently, an R package designed for simulating and fitting the Hawkes processes and the HawkesN processes.
We develop methods to detect and address weaponised disinformation and problematic content (hate speech, misinformation, conspiracy theories, anti-minority rhetoric).
birdspotter, an R tool that models Twitter users’ attributes and labels them.
Our research proposes adaptative and personalised methods to help workers transition into new occupations by accounting for their experience and personality profiles.