Research Center of New Media Technology

Research Projects | New Media Technology

The projects of the Research Center for New Media Technology underscore the increasing potential of knowledge extraction and visualization in conjunction with geospatial web technology, which integrates cartographic material with geotagged knowledge repositories and social network data.

  • EPOCH will measure the effects on statistical indicators of events being reported in the news and social media. Innovatively, it will use the measured effects of now past events to predict the future changes expected due to future events detected in the public dialogue. Through the EPOCH dashboard, organizations can identify and thus better prepare for these changes, adapting their communications, marketing and resources accordingly. This will be demonstrated in the domains of purchase price forecasting and public relations. This project is carried out by Modul Technology GmbH.
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  • GENTIO aims for radical innovation in the way we produce, enrich and analyse digital content. The project will develop a flexible Deep Learning Architecture to unify the understanding of text at three fundamental levels: structure, content and context. In the first use case, we will experiment with new methods for communications experts to maximize the impact of data-driven publishing. In the second use case, we will correct and classify noisy output from Optical Character Recognition (OCR) systems. Through multilingual and highly scalable knowledge graph technologies, the envisioned approach will be applicable across numerous domains and regions. This project is carried out by Modul Technology GmbH.
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  • EcoMove. The project develop knowledge-based solutions for efficient and environmentally sustainable movement in cities, providing customized information about available mobility options. Real-time recommendations for delaying, avoiding or taking alternative options will be presented visually to the users – city residents, visitors, and professional stakeholders – in order to prioritize “necessary” mobility. The City of Vienna will serve as the use case, but the developed methods will be generic and applicable to other cities and regions in follow-up projects.
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  • Media Watch on Climate Change. To increase awareness and the availability of environmental information, this project provides a comprehensive and continuously updated account of online media coverage on climate change and related issues. The portal aggregates, filters and visualizes environmental content from the Web sites of various stakeholders in English, French, German and Spanish language. Winner of the Digital Earth 3D Visualization Challenge 2007, held in conjunction with the 5th International Symposium on Digital Earth.
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  • ECOresearch. The interdisciplinary Research Network on Environmental Online Communication brings scientists of different backgrounds together to explore the development, management, promotion and evaluation of networked information systems that advocate sustainability and the protection of natural ecosystems. The network supports the research activities of its members, identifies synergies, coordinates the various projects and helps with resource acquisition.
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  • ReTV aims to provide broadcasters and content distributors with technologies and insights to leverage the converging digital media landscape. By advancing the start of the art in the analysis of this media landscape and providing novel methods to dynamically re-purpose content for an array of media vectors (= all relevant digital channels), a Trans-Vector Platform (TVP) will provide these stakeholders with the ability to “publish to all media vectors with the effort of one”. It will empower broadcasters and consumer brands to continuously measure their brand reputation, and to compute success metrics that predict reach and audience engagement of content and advertisements across vectors. This will allow editors, program planners and communication managers to optimize decision making processes. This project has been carried out by Modul Technology GmbH.
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  • InVID. In video veritas, if we divert the old Latin saying: In video, there is truth! The digital media revlution and the convergence of social media with broadband wired and wireless connectivity are bringing breaking news to online video platforms; and, news organisations delivering information by Web streams and TV broadcast often rely on user-generated recordings of breaking and developing news events shared by social media to illustrate the story. However, in video there is also deception. Access to increasingly sophisticated editing and content management tools, and the ease in which fake information spreads in electronic networks requires reputable news outlets to carefully verify third-party content before publishing it, reducing their ability to break news quickly while increasing costs in times of tight budgets.

    InVID  was set up to build a platform providing services to detect, authenticate and check the reliability and accuracy of newsworthy video files and video content spread via social media. This project has been carried out by Modul Technology GmbH.
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  • DecarboNet. A lack of collective awareness negatively impacts perceived personal efficacy, which hampers efforts to address societal problems. DecarboNet is a multidisciplinary effort to tackle this problem by identifying determinants of collective awareness, translating awareness into behavioural change, and providing novel methods to analyse and visualise the underlying processes. The project’s core innovations are built around a context-specific repository of carbon reduction strategies. To continuously refine this repository, the DecarboNet platform will utilise citizen-generated content in a societal feedback loop that enables an adaptive process of social innovation.
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  • PHEME. Social networks are rife with lies and deception, half-truths and facts. But irrespective of a meme’s truthfulness, the rapid spread of such information through social networks and other online media can have immediate and far-reaching consequences. In such cases, large amounts of user-generated content need to be analysed quickly, yet it is not currently possible to carry out such complex analyses in real time. PHEME will focus on a crucial, but hitherto largely unstudied, challenge: the veracity of content. The project will combine big data analytics with advanced linguistic and visual methods and the results will be suitable for direct application in medical information systems and digital journalism.
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  • UNEP Live. An intelligence portal for global environmental indicators and related communication flows. The UNEP portal helps stakeholders to meet Sustainable Development Goals (SDGs). It analyzes social media postings to extract public opinion trends on air quality, biodiversity and climate change. It also aggregates related content from the Web sites of news media organizations, policymakers and environmental organizations.
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  • uComp. The rapid growth and fragmented character of social media (Twitter, Facebook, blogs, etc.) and publicly available structured data (e.g., Linked Open Data) has led to challenges of how to extract knowledge from such noisy, multilingual sources in a robust, scalable and accurate manner. The goal of this inter-disciplinary project is to address these challenges by developing new methods arising from the Human Computation (HC) paradigm, which harnesses collective intelligence to augment automated methods.
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  • LinkedTV. The project is an integrated and practical approach towards experiencing Networked Media in the Future Internet. The Web’s original success was the underlying hypertext paradigm built into HTML. Hypermedia has been pursued for quite a while as an extension of the hypertext approach towards video information. But it needs complex video analysis algorithms and is still an issue of research. Television Linked To The Web (LinkedTV) provides a novel practical approach to Future Networked Media. It is based on four phases: annotation, interlinking, search, and usage (including personalization, filtering, etc.). The result will make Networked Media more useful and valuable, and it will open completely new areas of application for Multimedia information on the Web.
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  • MediaMixer. While we have already established, traditional markets for complete videos, e.g. in stock footage portals, media libraries or TV archives, where entire videos may be found and purchased for re-use, these markets do not permit the easy purchase or sale of smaller fragments of AV materials. MediaMixer's objective is to set up and sustain a community of video-producers, hosters and redistributors who will be supported in the adoption of semantic multimedia technology to build a European market for media fragment re-purposing and reselling.
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  • Language Quiz. Language Quiz is an interactive real-time quiz in the tradition of games with a purpose that was developed as part of the uComp project. 
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  • Triple-C - Climate Change Collaboratory. The Triple-C project aims to strengthen the relations between Austrian scientists, policy makers, educators, environmental NGOs, news media and corporations - stakeholders who recognize the need for adaptation and mitigation, but differ in worldviews, goals and agendas. The collaboratory manages expert knowledge and provides a platform for effective communication and collaboration.
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  • Information Diffusion across Interactive Online Media. Linguists define 'idiom' as an expression whose meaning is different from the literal meanings of its component words. Similarly, the study of information diffusion promises insights that cannot be inferred from individual network elements. Media monitoring projects often focus on a particular medium or neglect important aspects of the human language. The IDIOM project addresses these gaps to reveal fundamental mechanisms of information diffusion across the media with distinct interactive characteristics.
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  • US Election 2004 Web Monitor. How do international media, the Fortune 1000 and environmental organizations tailor articles to fit their political agenda? To answer this question, the US Election 2004 Web Monitor processes more than 500,000 documents each week – about 125 million words in 11 million sentences. Estimates of attention and attitude towards the presidential candidates complement keywords summarizing key issues associated with each candidate.
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