739 citations · 2k across the 31 of their papers we have counts for
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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…
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Leon Derczynski, Kalina Bontcheva, Maria Liakata +3
Media is full of false claims. Even Oxford Dictionaries named "post-truth" as the word of 2016. This makes it more important than ever to build systems that can identify the veraci…
Detection and Resolution of Rumours in Social Media: A Survey
Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva +2
Despite the increasing use of social media platforms for information and news gathering, its unmoderated nature often leads to the emergence and spread of rumours, i.e. pieces of i…
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,…
Political Homophily in Independence Movements: Analysing and Classifying Social Media Users by National Identity
Arkaitz Zubiaga, Bo Wang, Maria Liakata +1
Social media and data mining are increasingly being used to analyse political and societal issues. Here we undertake the classification of social media users as supporting or oppos…