8 citations · 14 across the 4 of their papers we have counts for
4 papers
Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling
Yida Mu, Peizhen Bai, Kalina Bontcheva +1
Large language models (LLMs) with their strong zero-shot topic extraction capabilities offer an alternative to probabilistic topic modelling and closed-set topic classification app…
Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic
Ye Jiang, Xingyi Song, Carolina Scarton +2
The spreading COVID-19 misinformation over social media already draws the attention of many researchers. According to Google Scholar, about 26000 COVID-19 related misinformation st…
MP Twitter Engagement and Abuse Post-first COVID-19 Lockdown in the UK: White Paper
Tracie Farrell, Mehmet Bakir, Kalina Bontcheva
The UK has had a volatile political environment for some years now, with Brexit and leadership crises marking the past five years. With this work, we wanted to understand more abou…
Vindication, Virtue and Vitriol: A study of online engagement and abuse toward British MPs during the COVID-19 Pandemic
Tracie Farrell, Genevieve Gorrell, Kalina Bontcheva
COVID-19 has given rise to malicious content online, including online abuse and hate toward British MPs. In order to understand and contextualise the level of abuse MPs receive, we…