Arno Scharl, Ruslan Kamolov, Rod Michael Coronel, Lucas Gerrand, Tim LammarschUNEP Live
UNEP Live is a Web intelligence platform for global environmental indicators and related communication flows. It helps stakeholders to meet environmental goals and foster sustainable development. The platform analyzes public opinion trends on air quality, biodiversity and climate change from news and social media, policy makers, and environmental organizations. Fully integrated into the UNEP Live knowledge management platform, webLyzard helps align and compare relevant articles and postings from these online sources with various environmental indicators.
Organisations: MODUL University Vienna, Department of New Media Technology
Author: Arno Scharl, Ruslan Kamolov, Rod Michael Coronel, Lucas Gerrand, Tim Lammarsch
Date: 01.04.2015 - 31.05.2016
Managed By: MODUL University Vienna
- Title A-Z
- Title Z-A
- Newest Publication
- Oldest Publication
- Newest Modification
- Oldest Modification
Arno Scharl, Alexander Hubmann-Haidvogel, Alistair Jones, Daniel Fischl, Ruslan Kamolov, Albert Weichselbraun, Walter Rafelsberger"Analyzing the public discourse on works of fiction – Detection and visualization of emotion in online coverage about HBO’s Game of Thrones - Emotion and Sentiment in Social and Expressive Media"2016 in: Information Processing & Management. Volume: 52. Issue number: 1 Pages: 129-138
This paper presents a Web intelligence portal that captures and aggregates news and social media coverage about “Game of Thrones”, an American drama television series created for the HBO television network based on George R.R. Martin’s series of fantasy novels. The system collects content from the Web sites of Anglo-American news media as well as from four social media platforms: Twitter, Facebook, Google+ and YouTube. An interactive dashboard with trend charts and synchronized visual analytics components not only shows how often Game of Thrones events and characters are being mentioned by journalists and viewers, but also provides a real-time account of concepts that are being associated with the unfolding storyline and each new episode. Positive or negative sentiment is computed automatically, which sheds light on the perception of actors and new plot elements.
Author(s): Arno Scharl, Alexander Hubmann-Haidvogel, Alistair Jones, Daniel Fischl, Ruslan Kamolov, Albert Weichselbraun, Walter Rafelsberger
Publication date: 1. 2016
Issue number: 1
Electronic version(s), related files and links: http://dx.doi.org/10.1016/j.ipm.2015.02.003
A. Scharl, A. Weichselbraun, M. Göbel, W. Rafelsberger, R. Kamolov"Scalable Knowledge Extraction and Visualization for Web Intelligence - 2016 49th Hawaii International Conference on System Sciences (HICSS)"2016 Pages: 3749-3757
Understanding stakeholder perceptions and assessing the impact of campaigns are key questions of communication experts. Web intelligence platforms help to answer such questions, provided that they are scalable enough to analyze and visualize information flows from volatile online sources in real time. This paper presents a distributed architecture for aggregating Web content repositories from Web sites and social media streams, memory-efficient methods to extract factual and affective knowledge, and interactive visualization techniques to explore the extracted knowledge. The presented examples stem from the Media Watch on Climate Change, a public Web portal that aggregates environmental content from a range of online sources.
Author(s): A. Scharl, A. Weichselbraun, M. Göbel, W. Rafelsberger, R. Kamolov
Publication date: 2016
Electronic version(s), related files and links: http://dx.doi.org/10.1109/HICSS.2016.467
Arno Scharl, David Herring, Walter Rafelsberger, Alexander Hubmann-Haidvogel, Ruslan Kamolov, Daniel Fischl, Michael Föls, A. Weichselbraun"Semantic Systems and Visual Tools to Support Environmental Communication"2015 in: IEEE Systems Journal. Pages: 1-10
Given the intense attention that environmental topics such as climate change attract in news and social media coverage, scientists and communication professionals want to know how different stakeholders perceive observable threats and policy options, how specific media channels react to new insights, and how journalists present scientific knowledge to the public. This paper investigates the potential of semantic technologies to address these questions. After summarizing methods to extract and disambiguate context information, we present visualization techniques to explore the lexical, geospatial, and relational context of topics and entities referenced in these repositories. The examples stem from the Media Watch on Climate Change, the Climate Resilience Toolkit and the NOAA Media Watch—three applications that aggregate environmental resources from a wide range of online sources. These systems not only show the value of providing comprehensive information to the public, but also have helped to develop a novel communication success metric that goes beyond bipolar assessments of sentiment.
Author(s): Arno Scharl, David Herring, Walter Rafelsberger, Alexander Hubmann-Haidvogel, Ruslan Kamolov, Daniel Fischl, Michael Föls, A. Weichselbraun
Publication date: 8. 9. 2015
Electronic version(s), related files and links: http://dx.doi.org/10.1109/JSYST.2015.2466439
Load more results