Claudia Wagner

Claudia Wagner
Computational Social Science, Data Mining, Text Mining, Network theory and dynamics, Web Science, Semantic Web
claudia dot wagner at gesis dot org OR clwagner at uni-koblenz dot de
Work address:
Computational Social Science Department,
GESIS - Leibniz Institute for Social Sciences
Unter Sachsenhausen 5-7,
Cologne, Germany
Brief Bio:

Currently I am a Post Doctoral Researcher at the Computational Social Science Department at GESIS - Leibniz Institute for the Social Sciences and an Adjunct Lecturer at the University of Koblenz-Landau. My work focuses around exploring to what extent digital traces can be used to learn about the interests, knowledge, habits and biases of individuals and social groups and how new technologies may impact them. My research interests include data mining, natural language processing and social and behavioural theories.

Previously, I did my master and my PhD in Computer Science at Graz University of Technology and worked as a research assistant at JOANNEUM RESEARCH in Graz, Austria. From February 2013 until April 2013 I was interning at HP labs where I was part of the Social Computation Research group. In summer 2011, I worked at the Augmented Social Cognition Group at Xerox PARC where I worked with Les Nelson and Peter Pirolli on creating topical expertise model of Twitter users. From October 2008 to February 2009 and in March and April 2011, I was an intern at the Knowledge Media Institute (KMi), Open University, where I worked with Enrico Motta, Matthew Rowe and Harith Alani on analyzing relations between different types of user activities and semantics.

Post-Doctoral Research:

Social Scientists are interested in how people think/feel/behave in social situations (social psychology), relate to each other (sociology), govern themselves (political science), handle wealth (socio-economics) and create culture (anthropology). In my post doctoral research I investigate how computational methods together with new types of observational data (e.g., user generated content, server log data or search query logs) can be used to support social scientists. Further, I am interested in quantifying the impact of the online world in the offline world, especially in the context of social issues. How can we assess the societal consequences of algorithms and systems? How do social inequalities manifest online and why are they exaggerated online?

Inequalities and Bias: In this work we investigate gender and ethnic inequalities in Wikipedia and propose methods to quantify these inequalities and biases and make them transparent. Further, we aim to understand algorithmic consequences of these inequalities and develop novel methods to adress them.

Food: In this project we explore to what extent the information access behavior of users in online recipe platforms can be used to as a proxy for studying dietary patterns in Europa. We explore questions such as: In which regions do people eat especially healthy? Where and when do people consume most sugar or fat? Do these online observations which we obtain via unobtrusive research methods relate with offline observations (e.g., regional health statistics) which we obtain from reactive-research methods? To what extent doe gender-specific differences exist in the type of food pictures men and women upload? What may explain those differences?

Political Discourse: In this project we investigate political discourse in Twitter. We are mainly interested in understanding to what extent the political ecosystem is reflected on Twitter and how social and semantic structures of politicians evolve over time -- i.e., how they change before, during and after elections.

PhD Research:

Social streams are aggregations of data that are produced by a temporal sequence of users' activities conducted in an online social environment like Twitter or Facebook where others can perceive the manifestation of these activities. Although previous research shows that social streams are a useful source for many types of information, most existing approaches treat social streams as just another textual document and neglect the fact that social streams emerge through user activities. This thesis sets out to explore potential relations between the user activities which generate a stream (and therefore impact the emergent structure of a stream) and the semantics of a stream.

My thesis introduces a network-theoretic model of social streams which allows to formally describe social streams and the structures which emerge from them. Further, several structural stream measures which allow to compare different social streams and a novel measure for assessing the stability of emerging structures of social streams are presented in this work. In several empirical studies my thesis explores if a relation between semantics and user activities exists and if so to what extent this relation can be exploited for (1) the creation of semantic annotations of social streams and users and (2) the prediction of users' future activities in social streams.

Grants, Fellowships and Awards :
Teaching and Talks:
Program and Organization Committee Memberships and Reviewing:
  • PC of World Wide Web Conference 2015 (WWW2015)
  • PC of the International Conference on Web and Social Media 2015 (ICWSM2015)
  • Workshop Chair of the International Conference on Web and Social Media 2015 Workshop Chair at ICWSM 2015
  • PC of the International Conference on Computational Social Science (ICCSS2015)
  • PC of the 6th International Conference on Social Informatics (SocInfo)
  • PC of the ACM Web Science conference (WebSci)
  • Reviewer for the journal:Social Networks - An International Journal of Structural Analysis
  • PC of the Sixth ASE International Conference on Social Computing
  • PC of the COOL workshop at WWWW 2014
  • PC of the Web Science Track at WWWW 2014
  • Reviewer for the Journal of the American Society for Information Science and Technology
  • Reviewer for the Journal of Web Semantics
  • PC of the IEEE International Conference on Cyber, Physical and Social Computing
  • PC of the Poster and Demo Track of the ESWC2013
  • PC of the Mining, Modeling and Recommending 'Things' in Social Media Workshop (MSM'13)
  • PC of the Positive and Negative Sides of Social Media Workshop (Pansom2013)
  • PC of the 3rd Workshop on Making Sense of Microposts (#MSM2013) at WWW 2013
  • PC of AAAI 2012, AI and Web Track
  • PC of the 1st International Workshop on Multimodal Crowd Sensing
  • PC of the 2nd workshop on Making Sense of Microposts at WWW2012
  • Reviewer of the Journal Semantic Web: Interoperability, Usability, Applicability
  • PC of the ACM Hypertext 2011, Social Media Track
  • PC of the Personal Semantic Data on the Desktop and on the Web co-located with ESWC2011
  • PC of the Making Sense of Microposts Workshop (MSM2011) co-located with ESWC2011
  • PC of the 1st Workshop on Trust and Privacy on the Social and Semantic Web co-located with ESWC2010 (SPOT2010)
  • PC of the Social Networks Interoperability, 1st International Workshop 2009(SNI2009)
  • PC of the 9th International Conference on Knowledge Management and Knowledge Technologies (I-KNOW 2009)