The full programme will be made available as soon as possible.
Gabriella Pasi, University of Milano-Bicocca
Ludo Waltman, CWTS
More information on the keynote speakers below:
University of Milano-Bicocca
Assessing Information Credibility in the Social Web
In the scenario of the Social Web, where a large amount of User Generated Content is diffused through Social Media without any form of trusted external control, the risk of running into misinformation is not negligible. For this reason, assessing the credibility of “potential” information constitutes a fundamental issue. Credibility is a quality perceived by individuals, who are not always able to discern with their own cognitive capabilities genuine information from fake one. For this reason, in the last years several approaches have been proposed to automatically assess credibility of UCG in Social Media. Most of them are based on data-driven approaches, based on machine learning techniques, but recently also model-driven approaches are emerging. Model-driven approaches aim at defining a predictive model based on an analysis of the problem and of the identified objects and their features; in particular, approaches relying on a Multi Criteria Decision Making paradigm constitute a way to compute an overall credibility assessment associated with a given information (posts and blogs) by separately evaluating each feature connected to each alternative, and by subsequently aggregating the single assessments into a global one. Several classes of aggregation operators can be employed to obtain the overall credibility estimate, thus modeling distinct behaviors of the considered process. Furthermore, some aggregation operators allow model the interaction between criteria. In this lecture an overview of model driven approaches will be presented, and their application to some real problems will be illustrated.
Gabriella Pasi is Full Professor at the Department of Informatics, Systems, and Communication of the University of Milano-Bicocca (Milan, Italy). Within DISCo she leads the Information Retrieval Lab. Her main research activities are related to Information Retrieval and Information Filtering. In recent years she has addressed the issues of contextual search and user modeling. She is also conducting research activities related to the analysis of user-generated content on social media. She has published more than 200 papers in International Journals and Books, and on the Proceedings of International Conferences. She is involved in various activities for the evaluation of research. She is Associate Editor and member of the Editorial Board of several international journals, and she has delivered keynote talks/plenary lectures at international conferences related to her research interests. She has participated in the organization of numerous International events, in both roles of organization and program chair.
Centre for Science and Technology Studies (CWTS), Leiden
Scientific information retrieval: Challenges and opportunities
The way in which researchers retrieve scientific literature is outdated, leading to major inefficiencies in the research process. When searching for scientific literature, search results are often ranked in naïve ways that provide little help in identifying the most relevant documents. Moreover, while scientific documents have the important feature of being connected to each other by citation links, search systems hardly take advantage of these links. The lack of innovation in scientific information retrieval is partly due to the closed nature of citation data sources. I will discuss ongoing efforts to create openly available sources of citation data. In addition, I will provide an overview of recent developments in the field of scientometrics, relying on visualization, network analysis, and text mining techniques, that can be used to develop innovative approaches to scientific information retrieval.
Ludo Waltman is deputy director of the Centre for Science and Technology Studies (CWTS) at Leiden University. At CWTS he leads the Quantitative Science Studies research group. Ludo is co-developer of the popular VOSviewer software for bibliometric visualization (www.vosviewer.com). In addition, Ludo serves as Editor-in-Chief of Journal of Informetrics, one of the leading journals in the field of scientometrics.