Ananya Sen | Source | Alfred Blumstein Associate Professor at Carnegie Mellon University
Ananya Sen
Ananya is an Assistant Professor at Carnegie Mellon University's Heinz College. His research interests centre around platforms with a special focus on the media, innovation and more broadly the digital economy. Ananya uses a variety of empirical techniques to analyze data from field experiments as well as observational data to gain insight into broad research questions.
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Carnegie Mellon University (https://www.cmu.edu/)
Alfred Blumstein Associate Professor
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Algorithmic recommendation technology or human curation? Study of online news outlet suggests both
Recommender systems are machine learning applications in online platforms that automate tasks historically done by people. In the news industry, recommender algorithms can assume the tasks of editors who select which news stories people see online, with the goal of increasing the number of clicks by users, but few studies have examined how the two compare.
Article
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Our work highlights a critical tension between detailed yet potentially narrow information available to algorithms and broad but often unscalable information available to humans. Algorithmic recommendations personalize at scale using information that tends to be detailed but is often temporally narrow and context-specific, while human experts base recommendations on broad knowledge accumulated over a professional career but cannot make individual recommendations at scale.
