1,721,097 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 textObservational 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 textExtracting 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/
Dataset in support of the publication 'ConversationMoC: encoding conversational dynamics using multiplex network for identifying moment of change in mood and mental health classification'
No full textThis dataset contains human annotated Reddit post IDs coded for (a) moment of change in user mood and (b) mental health disorder classification. Dataset contains 11,841 unique users, 963 target user conversation timelines over 12 months and a total of 28,659 posts. Post annotations are serialized in JSON format. Post details (text, username, timestamp) will need to be downloaded directly from Reddit via gthe Reddit API using the Reddit post ID's provided. Full details can be found in the paper and readme of the associated github site.</span
Observational study - how do journalists really verify user generated content?
No full textTo better understand the real-world strategies and workflows employed by journalists the University of Southampton IT Innovation Centre and Deutsche Welle have worked together to conduct an observational study of journalists doing UGC verification. We worked with 3 experienced journalists for a day, filming them and asking them to ‘think aloud’ as they performed several different UGC verification tasks. We watched what they did and asked them why they did i
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