Detecting Filter Bubbles in Ongoing News Stories.
Giang Binh Tran, Eelco Herder · 2015
Abstract. In this paper, we analyze differences in perspective between timelines created by news agencies from various countries. By employing methods for date and headline selection, which have been extensively evaluated in previous work, we show several types of bias that exist in the media landscape. As users typically select only a small number of news sources to follow, they necessarily experience at least some ‘tunnel vision’, which is commonly associated with the so-called ‘filter bubble’. By recognizing and emphasizing the peculiarities of the users’ self-selected news sources, we can help them to break out of the bubble. 1