Juliane Stiller

Juliane Stiller erforscht das Informationsverhalten und die digitalen Kompetenzen von geflüchteten Menschen in Deutschland während ihrer Jobsuche und beruflichen Orientierung im Internet. Sie untersucht, wie Geflüchtete Informationen zu unterschiedlichen Schwierigkeitsgraden online suchen und nutzen, und ordnet ihre digitalen Fähigkeiten systematisch ein. Für Unternehmen und öffentliche Institutionen relevant sind daraus Erkenntnisse über Barrieren und Potenziale bei der digitalen Integration von Geflüchteten in den Arbeitsmarkt sowie über zielgerichtete Unterstützungsangebote. Sie kombiniert quantitative und qualitative Methoden, um ein umfassendes Bild des Informationsverhaltens zu zeichnen.

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• DARIAH-EU: Workshop on Impact Factors and Success Criteria

  Quelle ↗

• Understanding the Information Seeking Behaviour and Digital Skills of Refugee Migrants during the Job Seeking Process

  Quelle ↗

  The proposed study examines the information seeking behaviour of refugee migrants in Germany while pursuing a job, a training position, or following an educational path on the Internet. Competencies of refugees are positioned on the digital skill scale and analysed how they approach information-seeking tasks with different difficulty levels on the Internet. The study triangulates quantitative and qualitative methods and contributes to a better understanding of the varying degrees of digital skills of migrant refugees that can be used to design targeted courses and curricula that address online deficits. This will enable refugees to benefit from the many opportunities that arise through the Internet and its services, improving chances for labour market integration.

• Europeana – a Search Engine for Digitised Cultural Heritage Material

  2017

  Datenbank-Spektrum · DOI

• Automatic Enrichments with Controlled Vocabularies in Europeana: Challenges and Consequences

  2014

  Lecture notes in computer science · DOI

• Ambiguity of Queries and the Challenges for Query Language Detection

  2010

  edoc Publication server (Humboldt University of Berlin) · DOI

  In this paper, a sample set of 510 simple searches from the TEL action log 2009 is analyzed for query content and query language. More than half of the queries are for named entities, which has consequences for query language disambiguation. A manual identification of query language finds that often a definite language cannot be determined, because many named entities are not translated. Problems and challenges for query category and language identification are discussed. Further analysis shows that IP address and interface language are not very strong indicators for determining the query language.