Crowdfunding campaigns must display authenticity in order to gain potential backers' trust, yet racial minorities may face bias if they include signals of their racial identity in their pages. There are numerous ways that racial identity can be signaled on crowdfunding platforms, and this work...

Digital platforms have a widely-documented issue with bias, which can impact their bottom line via missed opportunities, bad publicity, or even legal action. There is evidence that bias decreases when a platform conveys a signal of quality for underrepresented groups. This paper studies the...

As people share more of their lives on social media, their consumption and purchase behaviors become increasingly visible to their peers, spawning a new form of digitally-enabled conspicuous consumption. We examine how the ensuing dynamics of social commerce affect these visibility choices. We...

Cryptocurrencies are gaining traction in the financial markets, yet there is widespread concern about the potential for fraud. To continue the growth of cryptocurrencies, cryptocurrency issuers and benchmarking platforms must increase consumers' perceived trust. This research provides insight...

Initial Coin Offerings (ICOs) are increasingly discussed as a viable option for start-up companies to raise capital for new projects. In an ICO, a company issues a virtual coin, similar to bitcoin, to raise money. Investors purchase coins in expectation that these coins and their underlying...

The practical applications of artificial intelligence are expanding into various elements of society, leading to a growing interest in the potential biases of such algorithms. Facial analysis, one application of artificial intelligence, is increasingly used in real-word situations. For example,...

We examine the effects of digital access on the prevalence of democracy and its diffusion via trade, geographical and migration networks across 189 countries between 2000 and 2010. We find that different digital technologies may have varying impacts on freedom while affecting its diffusion via...

Predictive data technology designed to contain the COVID-19 pandemic was not as successful as promised. Data-centric solutions to providing testing and tracing did little to limit the virus’s spread in part because they served only the most visible parts of society. This Article argues for...

This study investigates how online content appropriation is affected by the content type and the social environment, i.e., the norms imposed by the website, and the social relationships. My analysis uses Pinterest data from April and November 2012 with a differences-in-differences methodology to...