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Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media
Arkaitz Zubiaga, Maria Liakata, Rob Procter
Breaking news leads to situations of fast-paced reporting in social media, producing all kinds of updates related to news stories, albeit with the caveat that some of those early u…
Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations
Arkaitz Zubiaga, Elena Kochkina, Maria Liakata +2
Rumour stance classification, the task that determines if each tweet in a collection discussing a rumour is supporting, denying, questioning or simply commenting on the rumour, has…
Using Gaussian Processes for Rumour Stance Classification in Social Media
Michal Lukasik, Kalina Bontcheva, Trevor Cohn +3
Social media tend to be rife with rumours while new reports are released piecemeal during breaking news. Interestingly, one can mine multiple reactions expressed by social media us…
Using Fuzzy Logic to Leverage HTML Markup for Web Page Representation
Alberto P. García-Plaza, Víctor Fresno, Raquel Martínez +1
The selection of a suitable document representation approach plays a crucial role in the performance of a document clustering task. Being able to pick out representative words with…
Towards Real-Time, Country-Level Location Classification of Worldwide Tweets
Arkaitz Zubiaga, Alex Voss, Rob Procter +3
In contrast to much previous work that has focused on location classification of tweets restricted to a specific country, here we undertake the task in a broader context by classif…