4,315 research outputs found
Social media analytics are evolving: from twitter-based crisis mapping to large-scale real-time situation assessment with trust and credibility analysis
No full textUoS Data Rescue
No full textUoS_Data_Rescue Dataset is a dataset of 1,113 historical logbooks with 594,000 annotated text cells, tackling challenges like handwritten entries, aging artifacts, and intricate layouts.
Cite: Singh, L.G. Middleton, S.E. Tabular Context-aware Optical Character Recognition and Tabular Data Reconstruction for Historical Records, International Journal on Document Analysis and Recognition (IJDAR), 2025</span
Real-time crisis mapping of natural disasters using social media
No full textThe proposed social media crisis mapping platform for natural disasters uses locations from gazetteer, street map, and volunteered geographic information (VGI) sources for areas at risk of disaster and matches them to geoparsed real-time tweet data streams. The authors use statistical analysis to generate real-time crisis maps. Geoparsing results are benchmarked against existing published work and evaluated across multilingual datasets. Two case studies compare five-day tweet crisis maps to official post-event impact assessment from the US National Geospatial Agency (NGA), compiled from verified satellite and aerial imagery sources
Observational study - how do journalists really verify user generated content
No full textThe importance of user generated content (UGC) in journalism is growing relentlessly [1] [2] [3]. Smartphones have high quality cameras able to take excellent eyewitness images, record videos of events as they happen and even stream videos in real-time. Eyewitness media will often appear on Social Networks before any mention occurs on mainstream news channel
Semi-automated extraction of attributed verification and debunking reports from social media
No full textBenchmarking Knowledge-assisted Kriging for Automated Spatial Interpolation of Wind Measurements
No full textAbstract - We have benchmarked a novel knowledge-assisted kriging algorithm that allows regions of spatial cohesion to be specified and variograms calculated for each region. The variogram calculation itself is automated and spatial regions are created via offline automated segmentation of either expert-drawn Google Earth polygons or NASA altitude data. Our use-case is to create wind interpolation grids for input into a bathing water quality model of microbial contamination. We benchmark our knowledge-assisted kriging algorithm against 7 other algorithms on UK met-office wind data (189 sensors). Our wind estimation results are comparable, but not better than ordinary kriging, but the kriging error maps are much sharper and reflect the known spatial features better. These results are very promising when considering it is an automated approach and allows on-demand datasets to be selected and thus real-time interpolation of previously unknown measurements. Automation is important in progressing towards a pan-European interpolation service capability
Extracting attributed verification and debunking reports from social media: MediaEval-2015 trust and credibility analysis of image and video
No full textJournalists are increasingly turning to technology for pre-filtering and automation of the simpler parts of the verification process. We present results from our semi-automated approach to trust and credibility analysis of tweets referencing suspicious images and videos. We use natural language processing to extract evidence from tweets in the form of fake & genuine claims attributed to trusted and untrusted sources. Results for team UoS-ITI in theMediaEval 2015 Verifying Multimedia Use task are reported. Our 'fake' tweet classifier precision scores range from 0.94 to 1.0 (recall 0.43 to 0.72), and our 'real' tweet classifier precision scores range from 0.74 to 0.78 (recall 0.51 to 0.74). Image classification precision scores range from 0.62 to 1.0 (recall 0.04 to 0.23). Our approach can automatically alert journalists in real-time to trustworthy claims verifying or debunking viral images or video
TRIDEC and REVEAL projects: geoparsing and geosemantic knowledge model for trust and credibility analysis
No full textInterface agents: A review of the field
No full textThis paper reviews the origins of interface agents, discusses challenges that exist within the interface agent field and presents a survey of current attempts to find solutions to these challenges. A history of agent systems from their birth in the 1960s to the current day is described, along with the issues they try to address. A taxonomy of interface agent systems is presented, and today's agent systems categorized accordingly. Lastly, an analysis of the machine learning and user modelling techniques used by today's agents is presented
REVEAL Project overview - trust and credibility analysis
No full textObjectives- Enable users to reveal hidden ‘modalities’ such as reputation, influence or credibility of information- Approach - Modality Extraction and Analysis- Real-time modality extraction- On-demand analytics capabilities- Event-driven architecture using RabbitMQ to communicate- Processing based on a scalable STORM cluster (real-time) & standalone HTTP services (on-demand)- Journalism Use Case- Newsgathering - Find newsworthy content and evidence to help verify this content- Enterprise Use Case- Forums - Identify and help newbies, track product feedback & sentiment & emerging trends<br/
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