activity
20122026
most citedAnalysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads

739 citations · 2.4k across the 93 of their papers we have counts for

collaborators
Showing 2017Show all

6 papers · 1 filter

cs.CL2017★ 151 cited

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…

cs.DL2017

A Longitudinal Assessment of the Persistence of Twitter Datasets

Arkaitz Zubiaga

With social media datasets being increasingly shared by researchers, it also presents the caveat that those datasets are not always completely replicable. Having to adhere to requi…

cs.CL2017★ 25 cited

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…

cs.CL2017★ 607 cited

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…

cs.HC2017★ 1 cited

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,…

cs.CL2017★ 2 cited

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…