739 citations · 2.3k across the 35 of their papers we have counts for
5 papers · 1 filter
Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads
Arkaitz Zubiaga, Maria Liakata, Rob Procter +2
As breaking news unfolds people increasingly rely on social media to stay abreast of the latest updates. The use of social media in such situations comes with the caveat that new i…
Microblog Analysis as a Programme of Work
Peter Tolmie, Rob Procter, Mark Rouncefield +2
Inspired by a European project, PHEME, that requires the close analysis of Twitter-based conversations in order to look at the spread of rumors via social media, this paper has two…
Leveraging Textual Features for Best Answer Prediction in Community-based Question Answering
George Gkotsis, Maria Liakata, Carlos Pedrinaci +1
This paper addresses the problem of determining the best answer in Community-based Question Answering (CQA) websites by focussing on the content. In particular, we present a system…
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…