22 citations · 38 across the 3 of their papers we have counts for
6 papers
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…
Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus
Xingyi Song, Johann Petrak, Ye Jiang +3
The explosion of disinformation accompanying the COVID-19 pandemic has overloaded fact-checkers and media worldwide, and brought a new major challenge to government responses world…
RP-DNN: A Tweet level propagation context based deep neural networks for early rumor detection in Social Media
Jie Gao, Sooji Han, Xingyi Song +1
Early rumor detection (ERD) on social media platform is very challenging when limited, incomplete and noisy information is available. Most of the existing methods have largely work…
Online Abuse of UK MPs from 2015 to 2019: Working Paper
Mark A. Greenwood, Mehmet E. Bakir, Genevieve Gorrell +3
We extend previous work about general election-related abuse of UK MPs with two new time periods, one in late 2018 and the other in early 2019, allowing previous observations to be…
Bio-YODIE: A Named Entity Linking System for Biomedical Text
Genevieve Gorrell, Xingyi Song, Angus Roberts
Ever-expanding volumes of biomedical text require automated semantic annotation techniques to curate and put to best use. An established field of research seeks to link mentions in…
A Deep Neural Network Sentence Level Classification Method with Context Information
Xingyi Song, Johann Petrak, Angus Roberts
In the sentence classification task, context formed from sentences adjacent to the sentence being classified can provide important information for classification. This context is,…