Alexander Hubmann-Haidvogel

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Visual techniques provide an intuitive way of making sense of the large amounts of microposts available from social media sources, particularly in the case of emerging topics of interest to a global audience, which often raise controversy among key stakeholders. Micropost streams are context-dependent and highly dynamic in nature. We describe a visual(More)
The advantages and positive effects of multiple coordinated views on search performance have been documented in several studies. This paper describes the implementation of multiple coordinated views within the Media Watch on Climate Change, a domain-specific news aggregation portal available at www.ecoresearch.net/climate that combines a portfolio of(More)
This paper presents the Media Watch on Climate Change, a public Web portal that captures and aggregates large archives of digital content from multiple stakeholder groups. Each week it assesses the domain-specific relevance of millions of documents and user comments from news media, blogs, Web 2.0 platforms such as Facebook, Twitter and YouTube, the Web(More)
This paper presents the 'Media Watch on Climate Change', an interactive Web portal that combines a portfolio of semantic services with a visual interface based on tightly coupled views. The interface enables users to access a repository of environmental knowledge, built by crawling about 300,000 news media articles in weekly intervals. Tagging services(More)
This paper introduces an interactive <i>news flow</i> visualization that reveals emerging topics in dynamic digital content archives. The presented approach combines several visual metaphors and can be easily adapted to present multi-source social media datasets. In the context of this work, we discuss various methods for improving visual interfaces for(More)
In today's interconnected world decisions often need to consider information from various domains. For example, a tourism manager needs to correlate tourist behavior with financial or environmental indicators to make long-term decisions about planning a tourism destination. Statistical data enables a broad range of such cross-domain decision tasks. A(More)