The PHEME Project computes veracity scores across media, languages, and social networks. Analyzing big data repositories aggregated from context-dependent social media streams poses three major computational challenges: volume, velocity, and variety. This project focuses on a fourth, largely unstudied computational challenge: veracity. It models and verifies phemes (Internet memes with added information on truthfulness or deception) as they spread across media, languages, and social networks.
BVG BEACH CLEANING PROJECTS- ORISSA , ANDAMAN, PORT BLAIR
PHEME Dashboard - Interactive Visual Analytics
1. 1
REVEAL Workshop | Athens, September 2016
PHEME Dashboard
Interactive Visual Analytics
pheme.weblyzard.com
Arno Scharl
MODUL University Vienna
webLyzard technology
www.weblyzard.com www.modul.ac.at/nmt
2. 2
REVEAL Workshop | Athens, September 2016
Dashboard Overview
• Visual Analytics platform to investigate social
perceptions and the evolution of online dialogues;
REST API to embed dashboard elements following a
Visualisation-as-a-Service (VaaS) approach.
• Dashboard Customisation. Adapt content streams
and topic definitions to use case requirements:
– Mental Health Disorders
– Medications
– Pharmaceutical Industry
– Brand Personality
3. 3
REVEAL Workshop | Athens, September 2016
Topic Definition – Mental Health Disorders
14. 14
REVEAL Workshop | Athens, September 2016
Mental Health, Pharmaceutical Industry
pheme.weblyzard.com
US Election 2016 Web Monitor
www.weblyzard.com/us-election
UNEP Live Web Intelligence
www.weblyzard.com/unep-live