Browsing School of Electronic Engineering and Computer Science by Author "Procter, R"
Now showing items 1-14 of 14
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Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads
Zubiaga, A; Liakata, M; Procter, R; Hoi, GWS; Tolmie, P (PLoS, 2016-03-04)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 information being released piecemeal may ... -
Birds of a feather check together: Leveraging homophily for sequential rumour detection
Lathiya, S; Dhobi, JS; Zubiaga, A; Liakata, M; Procter, R (Elsevier, 2020-09-08)As breaking news unfolds, social media has become the go-to platform to learn about the latest updates from journalists and eyewitnesses on the ground. The fact that anybody can post content in social media during these ... -
Citizen Participation and Machine Learning for a Better Democracy
Procter, R; Arana-Catania, M; van Lier, F-A; Tkachenko, N; He, Y; Zubiaga, A; Liakata, M (ACM, 2021-07-01)The development of democratic systems is a crucial task as confirmed by its selection as one of the Millennium Sustainable Development Goals by the United Nations. In this article, we report on the progress of a project ... -
Detection and Resolution of Rumours in Social Media: A Survey
Zubiaga, A; Aker, A; Bontcheva, K; Liakata, M; Procter, R (ACM, Inc, 2018-06)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., items of information that are unverified at the time ... -
Discourse-aware rumour stance classification in social media using sequential classifiers
Zubiaga, A; Kochkina, E; Liakata, M; Procter, R; Lukasik, M; Bontcheva, K; Cohn, T; Augenstein, I (2018) -
Evaluating the generalisability of neural rumour verification models
Kochkina, E; Hossain, T; Logan, RL; Arana-Catania, M; Procter, R; Zubiaga, A; Singh, S; He, Y; Liakata, M (2023) -
Gaussian Processes for Rumour Stance Classification in Social Media
Lukasik, M; Bontcheva, K; Cohn, T; Zubiaga, A; Liakata, M; Procter, R (2019) -
A longitudinal analysis of the public perception of the opportunities and challenges of the Internet of Things
Zubiaga, A; Procter, R; Maple, C (PLoS, 2018-12-20)The Internet of Things (or IoT), which enables the networked interconnection of everyday objects, is becoming increasingly popular in many aspects of our lives ranging from entertainment to health care. While the IoT brings ... -
Microblog Analysis as a Program of Work
Tolmie, P; Procter, R; Rouncefield, M; Liakata, M; Zubiaga, A (Association for Computing Machinery (ACM), 2018-01-18) -
Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims
Arana-Catania, M; Kochkina, E; Zubiaga, A; Liakata, M; Procter, R; He, Y (2022) -
PANACEA: An Automated Misinformation Detection System on COVID-19
Zhao, R; Arana-Catania, M; Zhu, L; Kochkina, E; Gui, L; Zubiaga, A; Procter, R; Liakata, M; He, Y; The 17th Conference of the European Chapter of the Association for Computational (2023-01-01)In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection. Our fact-checking module, which is supported by novel ... -
Political Homophily in Independence Movements: Analyzing and Classifying Social Media Users by National Identity
Zubiaga, A; Wang, B; Liakata, M; Procter, R (2019) -
Towards Real-Time, Country-Level Location Classification of Worldwide Tweets
Zubiaga, A; Voss, A; Procter, R; Liakata, M; Wang, B; Tsakalidis, A (2017) -
WISC at mediaeval 2017: Multimedia satellite task
Tkachenko, N; Zubiaga, A; Procter, R; MediaEval (2017-09-13)© 2017 author/owner(s). This working note describes the work of the WISC team on the Multimedia Satellite Task at MediaEval 2017. We describe the runs that our team submitted to both the DiRSM and FDSI subtasks, as well ...