151 citations · 304 across the 4 of their papers we have counts for
4 papers
Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers
Arkaitz Zubiaga, Elena Kochkina, Maria Liakata +5
Rumour stance classification, defined as classifying the stance of specific social media posts into one of supporting, denying, querying or commenting on an earlier post, is becomi…
Supporting the use of user generated content in journalistic practice
Peter Tolmie, Rob Procter, David William Randall +5
Social media and user-generated content (UGC) are increasingly important features of journalistic work in a number of different ways. However, their use presents major challenges,…
Towards Detecting Rumours in Social Media
Arkaitz Zubiaga, Maria Liakata, Rob Procter +2
The spread of false rumours during emergencies can jeopardise the well-being of citizens as they are monitoring the stream of news from social media to stay abreast of the latest u…
Making the Most of Tweet-Inherent Features for Social Spam Detection on Twitter
Bo Wang, Arkaitz Zubiaga, Maria Liakata +1
Social spam produces a great amount of noise on social media services such as Twitter, which reduces the signal-to-noise ratio that both end users and data mining applications obse…