Annotation process


In the past phase of the project we’ve been focussing (amonst others) on the manual annotation process. Finally, it’s are getting along well. It has been quite a struggle appropriately placing the entity stamps, having the computerized annotations in the back of our heads (even though this shouldn’t be influential…)

Computer-wise, it’s now a matter of figuring out do we deal with the relative and absolute dates and times in the text, with reference to the publication date of the article.

Hopefully we can finalize the first article batch next week in order to start an evaluation!

Going for Gold…


Fascinating to see how worlds collide in where computer scientists and social scientists are working together to see how we can make sense of large datasets to understand activist groups’ tactics and their targets’ responses.

Clearly, not a question for which a ready-made package is available so we’re working hard to assemble helpful tools and to provide some well-coded bits of data to serve as gold standards for the tools. Once again we note how complicated language can be – but we’re making progress, using a sample data set on that gives enough food for (coding) thought…


Thanks for flying Viz

Historically, whenever we wanted to convey large amounts of potentially complex information to others, we would write it down using a copious amount of text. While this has worked fairly well for many centuries – and in fact still does for many types of information – it is not necessarily the most efficient nor the most enticing method to convey information. But what alternative is there then?

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Welcome to the MONA project blog

Social scientists studying the activity of activist organizations are faced with an overwhelming amount of possibly biased and out of context source material.

The MONA project aims at developing a tool that gathers source material (e.g. news articles, blog posts), extracts events and their properties (e.g. actors, locations, timestamps) from these materials, analyzes links between events, and visualizes the results. By doing this, MONA attempts to alleviate the aforementioned problems.

Through this blog the MONA project team will keep you up-to-date on the progress of the project.