NewsEye is an inter- and multi-disciplinary project, advancing the state of the art in digital humanities and computer science. All of the project’s research tasks will progress the fields beyond the state of the art, and throughout the developed NewsEye processing pipeline unify disparate tools and components into a single methodology in a manner never before attempted.

Humanities scholars, high school teachers and the general public have been using digital resources for decades for different learning objectives. For these different interests, the Europeana project has, for example, made readily available a range of newspapers sources. However, while the availability of digitized materials is growing, their use in education from the perspective of automated processes and help of computer science is still very limited. Also, in more advanced digital humanities work the problem that new methods are not made available to a larger audience is still seen as a limitation. This is what NewsEye will change.

The overall ambition of NewsEye is to ease the access to and the interpretation of massive digitized collections of newspapers by achieving the NewsEye goals described here, allowing researchers and the interested public to develop richer interpretations of the past.

  • For the libraries and their users, this will significantly improve the value of their newspaper collections, digitized with massive and costly efforts over the last few decades.
  • Researchers in humanities will get tools to quantitatively validate and produce new findings based on quantitative data that could so far not be exploited at this scale. It is to be expected that the tools and techniques envisaged in NewsEye will lead to the endorsement of already existing interpretations, but will also bring up different and new concepts, topics and ideas due to the much better accessibility of data and the automated reports and analyses provided.