(Published Paper) Benjamin Shestakofsky and co-author describe the relationship labor that is systematically excised from many platforms’ accounts of what they do and missing from much of the scholarship on platform governance…Read More
The researchers identify four challenges in using data science for human resource (HR) management tasks: the complexity of HR phenomena, constraints imposed by small data sets, fairness, ethical, and legal constraints, and possible adverse employee reactions to management decisions via data-based algorithms. They propose practical responses to these challenges that would be economically efficient and socially appropriate.…Read More
(Outlet: Fast Company) Kartik Hosanagar, AI at Wharton faculty co-director, authors a piece on Michael Kearns, a prominent machine learning researcher, who has emphasized the need for an “algorithmic bill of rights” to address the bias in algorithms used in socially sensitive applications.…Read More
Why are certain pieces of online content more viral than others? The emergence of social media (e.g., Facebook and Twitter) has boosted interest in word-of-mouth and viral marketing. But while it is clear that consumers often share online content, and that social transmission influences product adoption and sales, less is known about why consumers share content or why certain content becomes viral.…Read More
