We are pleased to announce two keynote speakers who will address the workshop:
Edgar Meij is a senior scientist at Bloomberg. Before this, he was a research scientist at Yahoo Labs and a postdoc at the University of Amsterdam, where he also obtained his Ph.D. His research focuses on all applications and aspects of knowledge graphs, entity linking, and semantic search.
Until recently, Steve Schifferes was the Director of the Financial Journalism MA at City University London. He has a wide-ranging background in business and finance journalism, both for television and online. He was economics correspondent for BBC News Online, co-ordinating coverage of the credit crunch, the Asian financial crisis, the Enron scandal, and the launch of the euro. He reported from the USA during the sub-prime crisis, the Iraq war and the Obama election and from Bangalore, Shanghai and Detroit on globalisation and its discontents. Professor Schifferes has lectured around the world on the role of the media in the financial crisis.
The workshop will also feature a discussion panel, combining insights from journalism and information retrieval. In addition to the keynote speakers, the panel will also feature:
David Corney spent 15 years in academia, applying machine learning to a variety of real-world problems. These included information extraction from biomedical research papers in collaboration with GSK, and tracking breaking news stories on Twitter as part of the SocialSensor FP7 project. He then joined Signal Media as a data scientist, where he continued to apply machine learning, NLP and IR methods to large-scale media monitoring, via document clustering, topic classification and entity recognition. In January, he joined Factmata as Lead ML/NLP engineer. Factmata is a start-up using machine learning and NLP approaches to identify misinformation and other forms of malicious digital content.
Peter Tolmie is a Principal Research Scientist at the Universität Siegen in Germany. He has conducted ethnographic studies across numerous settings (e.g. retail banking, music production, the TV and film industries, journalism, etc…). Most recently, he has collaborated on the Pheme project, which is focused on establishing the veracity of claims in the internet.
Barbara Poblete is an Assistant Professor at the Computer Science Department of the University of Chile in Santiago. She was a researcher at Yahoo! Labs for 5 years (in Barcelona and Santiago). Currently, her research areas are Web Data Mining, Social Network Analysis and Web IR. She is an Associate Editor for the IEEE Transactions on Knowledge and Data Engineering Journal and Senior PC member for the conferences SIGIR and WWW (and PC member of several other top-tier conferences in her areas). Here work on time-sensitive credibility in microblogging platforms, published in WWW 2011 and in the Internet Research journal (2013), was the first on this particular topic (with +1800 citations), according to Google Scholar and has been featured in mainstream media such as Scientific American Magazine, The Wall Street Journal, Slate Magazine and BBC News, The Huffington Post, BBC News and NPR.