Personalization in crowd-driven annotation for cultural heritage collections

Many cultural heritage institutions are confronted with a big challenge when it comes to adapting the process of registration, annotation and digitization of their collections to meet the new technological demands for providing their collections online with Web and mobile technologies. With limited funding and limited professional resources,...

CaptureBias: Supporting Media Scholars with Ambiguity-Aware Bias Representation for News Videos

In this project we explore the presence of ambiguity in textual and visual media and its influence on accurately understanding and<br/>capturing bias in news. We study this topic in the context of supporting<br/>media scholars and social scientists in their media analysis. Our focus<br/>lies on racial and gender bias as well as framing and the...

A Human in the Loop Approach to Capture Bias and Support Media Scientists in News Video Analysis

Bias is inevitable and inherent in any form of communication. News often appear biased to citizens with dierent political orientations, and understood dierently by news media scholars and the broader public. In this paper we advocate the need for accurate methods for bias identication in video news item, to enable rich analytics capabilities in...

Validation methodology for expert-annotated datasets: Event annotation case study

Event detection is still a difficult task due to the complexity and the ambiguity of such entities. On the one hand, we observe a low inter-annotator agreement among experts when annotating events, disregarding the multitude of existing annotation guidelines and their numerous revisions. On the other hand, event extraction systems have a...

Semantic Web and Human Computation: The status of an emerging field