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Slipping to the Extreme: A Mixed-Method to Explain How Extreme Opinions Infiltrate Online Discussions

ICWSM 2022 paper: "Slipping to the Extreme: A Mixed-Method to Explain How Extreme Opinions Infiltrate Online Discussions"

Discovering coordinated disinformation via Hawkes processes

ECREA 2021 presentation: "Discovering the Strategies and Promotion Schedules of Coordinated Disinformation via Hawkes Intensity Processes"

We spent six years scouring billions of links, and found the web is both expanding and shrinking

More than a quarter of a century since the first commercial use of the online world, its growth is now slowing down in some key categories.

birdspotter: A toolkit for analyzing and labelling Twitter users

We introduce `birdspotter`, an R tool that models Twitter users' attributes and labels them.

Job Transitions in a Time of Automation and Labour Market Crises

We build a machine learning-based recommender system that can accurately predict the probability of transitioning between occupations.

User Analysis on reshare cascades about COVID-19

In this tutorial, we apply two novel tools (BirdSpotter and Evently) for analyzing Twitter users on a COVID-19 retweet dataset.

Causal Inference: A basic taster

An introduction to the core motivation, underlying theory and practical methodology of causal inference through examples.

evently: simulation, fitting of Hawkes processes

We introduce `evently`, an R package designed for simulating and fitting the Hawkes processes and the HawkesN processes.