Automated Trust Estimation in Developing Open News Stories: Combining Memento & Provenance

Nowadays news is omnipresent and citizens rely on consuming "breaking" news events whenever they want, wherever they are, on whatever device in their immediate surroundings. But these users get overwhelmed by too many individual and disconnected pieces of information, and cannot situate the news in a proper context. Consequently, current open news aggregator solutions lack the means to uniquely identify developing news stories, nor do they provide means to do trust estimation on the provenance of all their gathered news resources, such that these citizens could build a complete and weighted picture of the assembled information for themselves. In order to do so, one needs to solve (1) the issue of getting persistent URI\´s per developing news story, (2) the issue of getting valid, lasting temporal enrichments of versioned news items, and finally (3) the issue of openly publishing provenance information of developing news stories on the Web to enable automatic trust estimation. Our proposed news architecture is able to do automated trust estimation on developing open news stories by extending the Memento paradigm with Linked Open Data provenance information.