Online News Aggregators Research Articles

The Performance of Distributed News Aggregators

Originating as a study of the online news aggregator Digg, which relies on user ratings to determine which articles to put on the frontpage, this study evolved into a comprehensive survey of the online news aggregator space. This case study explores the conditions under which crowds are smart, analyzes the bias of several modes of information aggregation, and shows the risk of mob behaviour.

What Can We Learn about Distributed Problem Solving Networks via Web Analysis?

Webmetrics (a method to measure and analyze weblinks) is applied to a subset of news sites: many of them studied in the 'online news aggregators' case study of the Distributed Problem Solving Networks (DPSN) project.

The Efficiency of Constructed Week Sampling for Content Analysis of Online News

This article compares different sampling methods and sample sizes for content analyzing news on an online news aggregator. Consistent with previous research focusing on traditional media, constructed week sampling is more efficient than simple random sampling or consecutive day sampling. However, while a single constructed week allows reliable estimates of content in a population of six months of newspaper editions, at least two constructed weeks, and as many as five constructed weeks, are needed to accurately represent online news content gathered during the same period, depending on the type of variables being analyzed.