id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_u4ffrj3lbndn5l6msbd6yagame	Dimitar Nikolov	Measuring online social bubbles	2015	14	.pdf	application/pdf	6782	1309	3	relates to the diversity of information accessed by individual users through an analysis of To study the diversity of information exposure we use a massive collection of Web clicks Figure 1 Diversity of information sources accessed through different online channels. (D) Social media traffic generated by a collection of users. clicking on a link from a search engine, email client, or social media site, and going to one To measure diversity of information exposure in the context of news, we created a separate targets in the click collection, yielding the news dataset used in our analysis. of diversity on number of clicks is different for each category of traffic. Figure 4 illustrates the top targets of traffic from search and social media on a diversity measurements based on anonymous traffic data do not distinguish between users, Figure 4 Top websites that are targets of 40% of clicks for search (A) and social media (B).	./cache/work_u4ffrj3lbndn5l6msbd6yagame.pdf	./txt/work_u4ffrj3lbndn5l6msbd6yagame.txt