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Design and Deployment of a Personalized News Service

AI Magazine

AI technology was employed to present the right information efficiently to each reader and to reduce radically the workload of curators. The system went through three implementation cycles and processed more than 20 million news stories from about 12,000 Really Simple Syndication (RSS) feeds on more than 8000 topics organized by 160 curators for more than 600 registered readers. This article describes the approach, engineering, and AI technology of the system. It is hard to keep up on what matters. The limiting factor is not the amount of information available but our available attention (Simon 1971).


Design and Deployment of a Personalized News Service

AI Magazine

From 2008-2010 we built an experimental personalized news system where readers subscribe to organized channels of topical information that are curated by experts. AI technology was employed to efficiently present the right information to each reader and to radically reduce the workload of curators. The system went through three implementation cycles and processed over 20 million news stories from about 12,000 RSS feeds on over 8000 topics organized by 160 curators for over 600 registered readers. This paper describes the approach, engineering and AI technology of the system.


Lurie

AAAI Conferences

Auditing algorithms has emerged as a methodology for holding algorithms accountable by testing whether they are fair. This process often relies on the repeated use of a platform to record inputs and their corresponding outputs. For example, to audit Google search, one repeatedly inputs queries and captures the received search pages. The goal is then to discover, in the collected data, patterns that will reveal the secrets'' of algorithmic decision making. This knowledge discovery process makes some algorithm auditing tasks great applications for data mining techniques. In this paper, we introduce one particular algorithm audit, that of Google's Top stories. We describe the process of data collection, exploration, and analysis for this application and share some of the gleaned insights. Concretely, our analysis suggests that Google might be trying to burst the famous filter bubble'' by choosing less known publishers for the 3rd position in the Top stories.


The News that Matters to You: Design and Deployment of a Personalized News Service

AAAI Conferences

With the growth of online information, many people are challenged in finding and reading the information most important for their interests. From 2008-2010 we built an experimental personalized news system where readers can subscribe to organized channels of information that are curated by experts. AI technology was employed to radically reduce the work load of curators and to efficiently present information to readers. The system has gone through three implementation cycles and processed over 16 million news stories from about 12,000 RSS feeds on over 8000 topics organized by 160 curators for over 600 registered readers. This paper describes the approach, engineering and AI technology of the system.


The Great Facebook Crash

Slate

The first months of Donald Trump's presidency were a fraught and chaotic time in American politics. But in an age of shrinking newsrooms, early 2017 was a bright spot for online news publishers, especially those with some Facebook savvy. People were hungry for political news, commentary, and analysis, and Facebook fed them a steady diet of it. It was where conservatives gathered to crow and liberals went to commiserate and organize. Slate--yes, the publication you're reading right now--got more than 85 million clicks that originated from external sites and apps in January 2017 alone. Almost a third of them--28 million--came from Facebook.