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      <p>Bio. Dr Miriam Fernandez is a Senior Research Fellow at the Knowledge Media Institute (KMi),
Open University, and a member of KMi's Social Data Science Group. Before joining KMi, she
was research associate at Universidad Autonoma de Madrid, Spain and software engineer
(internship) at Google Zurich, Switzerland. Her research is at the intersection of the Web Science
(WS) and Semantic Web communities (SW), where she has contributed with more than 100
peerreviewed articles in various leading conferences and journals. She has extensive expertise in
leading EU and national projects. She frequently participates in organising committees and
editorial boards of the top SW and WS conferences, recently being program co-chair of the
International Semantic Web conference in 2017, and serving as editor for the Journal of Web Semantics.
Dr. Fernandez is the Athena SWAN champion for KMi, leading key initiatives to increase
equality diversity in higher education.</p>
      <p>Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons</p>
      <p>License Attribution 4.0 International (CC BY 4.0).</p>
      <p>Targeting Societal Challenges by analysing social media data.</p>
      <p>Senior Research Fellow at the Knowledge Media Institute
Abstract. The Social Web has become one of the largest human information and communication
systems in history, impacting the lives of billions of people around the world. This social
phenomenon is transforming the world in ways that were never imagined, shaping how we
communicate and share information, how we engage with others, or how we elect governments. In
this talk we discuss how, by mining this unprecedented resource, we can help targeting societal
challenges, with a particular focus on the problems of radicalisation and misinformation.</p>
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