We measure the gap between elected representatives and their constituents in the discourse they generate online — the topics they emphasise, the sentiment they use, and the degree …
Using data from the Nextdoor neighbourhood social network, we show how offline socio-economic inequalities surface in online local discussion: in topic choice, reporting intensity, …
A quantitative study of how Reddit's volunteer moderators coped with the COVID-19 information surge: which rules changed, which communities tightened or loosened, and how the …
An early look at how offline socio-economic inequalities surface in online local social networks, presented as a poster at IMC 2022. The companion full paper later appeared at …
A longitudinal study of COVID-19-related WhatsApp forwards collected from public groups in Pakistan, characterising the kinds of content people shared, how misinformation …
The worldwide spread of COVID-19 prompted extensive online discussions, creating an infodemic on social media platforms such as WhatsApp and Twitter. We present the first analysis …
COVID-19, an infectious disease caused by the SARS-CoV-2 virus, was declared a pandemic by the World Health Organisation in March 2020. We systematise ongoing data science …