The Role of Narratives in DIVE

[This post is based on Maartje Kruijt‘s Media Studies Bachelor thesis: “Supporting exploratory search with features, visualizations, and interface design: a theoretical framework“.]

In today’s network society there is a growing need to share, integrate and search in collections of various libraries, archives and museums. For researchers interpreting these interconnected media collections, tools need to be developed.  In the exploratory phase of research the media researcher has no clear focus and is uncertain what to look for in an integrated collection. Data Visualization technology can be used to support strategies and tactics of interest in doing exploratory research

Dive screenshotThe DIVE tool is an event-based linked media browser that allows researchers to explore interconnected events, media objects, people, places and concepts (see screenshot). Maartje Kruijt’s research project involved investigating to what extent and in what way the construction of narratives can be made possible in DIVE, in such a way that it contributes to the interpretation process of researchers. Such narratives can be either automatically generated on the basis of existing event-event relationships, or be constructed  manually by researchers.

The research proposes an extension of the DIVE tool where selections made during the exploratory phase can be presented in narrative form. This allows researchers to publish the narrative, but also share narratives or reuse other people’s narratives. The interactive presentation of a narrative is complementary to the presentation in a text, but it can serve as a starting point for further exploration of other researchers who make use of the DIVE browser.

Within DIVE and Clariah, we are currently extending the user interface based on the recommendations made in the context of this thesis. You can read more about it in Maartje Kruijt’s thesis (Dutch). The user stories that describe the needs of media researchers are descibed in English and found in Appendix I.

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Crowd- and nichesourcing for film and media scholars

[This post describes Aschwin Stacia‘s MSc. project and is based on his thesis]

There are many online and private film collections that lack structured annotations to facilitate retrieval. In his Master project work, Aschwin Stacia explored the effectiveness of a crowd-and nichesourced film tagging platform,  around a subset of the Eye Open Beelden film collection.

Specifically, the project aimed at soliciting annotations appropriate for various types of media scholars who each have their own information needs. Based on previous research and interviews, a framework categorizing these needs was developed. Based on this framework a data model was developed that matches the needs for provenance and trust of user-provided metadata.

Fimtagging screenshot
Screenshot of the FilmTagging tool, showing how users can annotate a video

A crowdsourcing and retrieval platform (FilmTagging) was developed based on this framework and data model. The frontend of the platform allows users to self-declare knowledge levels in different aspects of film and also annotate (describe) films. They can also use the provided tags and provenance information for retrieval and extract this data from the platform.

To test the effectiveness of platform Aschwin conducted an experiment in which 37 participants used the platform to make annotations (in total, 319 such annotations were made). The figure below shows the average self-reported knowledge levels.

Average self-reported knowledge levels on a 5-point scale. The topics are defined by the framework, based on previous research and interviews.
Average self-reported knowledge levels on a 5-point scale. The topics are defined by the framework, based on previous research and interviews.

The annotations and the platform were then positively evaluated by media scholars as it could provide them with annotations that directly lead to film fragments that are useful for their research activities.

Nevertheless, capturing every scholar’s specific information needs is hard since the needs vary heavily depending on the research questions these scholars have.

  • Read more details in Aschwin’s thesis [pdf].
  • Have a look at the software at , and maybe start your own Filmtagging instance
  • Test the annotation platform yourself at or watch the screencast below

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