output
20122024
most citedDESPOT: Online POMDP Planning with Regularization

182 citations

Showing cs.SIShow all

6 papers · 1 filter

cs.SI2022★ 12 cited

Promoting and countering misinformation during Australia's 2019-2020 bushfires: A case study of polarisation

Derek Weber, Lucia Falzon, Lewis Mitchell +1

During Australia's unprecedented bushfires in 2019-2020, misinformation blaming arson resurfaced on Twitter using #ArsonEmergency. The extent to which bots were responsible for dis…

cs.SI2021★ 14 cited

Exploring the effect of streamed social media data variations on social network analysis

Derek Weber, Mehwish Nasim, Lewis Mitchell +1

To study the effects of Online Social Network (OSN) activity on real-world offline events, researchers need access to OSN data, the reliability of which has particular implications…

cs.SI2020

A method to evaluate the reliability of social media data for social network analysis

Derek Weber, Mehwish Nasim, Lewis Mitchell +1

To study the effects of Online Social Network (OSN) activity on real-world offline events, researchers need access to OSN data, the reliability of which has particular implications…

cs.SI2020★ 4 cited

Popularity and Centrality in Spotify Networks: Critical transitions in eigenvector centrality

Tobin South, Matthew Roughan, Lewis Mitchell

The modern age of digital music access has increased the availability of data about music consumption and creation, facilitating the large-scale analysis of the complex networks th…

cs.SI2020★ 20 cited

#ArsonEmergency and Australia's "Black Summer": Polarisation and misinformation on social media

Derek Weber, Mehwish Nasim, Lucia Falzon +1

During the summer of 2019-20, while Australia suffered unprecedented bushfires across the country, false narratives regarding arson and limited backburning spread quickly on Twitte…

cs.SI2018

SMERC: Social media event response clustering using textual and temporal information

Peter Mathews, Caitlin Gray, Lewis Mitchell +2

Tweet clustering for event detection is a powerful modern method to automate the real-time detection of events. In this work we present a new tweet clustering approach, using a pro…