This paper develops a theoretical model to study the economic incentives for a social media platform to moderate user-generated content. We show that a self-interested platform can use content moderation as an effective marketing tool to expand its installed user base, to increase the utility of its users, and to achieve its positioning as a moderate or extreme content platform. …Read More
He shared insights into the intersection of government policy with business affairs, and the role of the U.S. as a beacon of innovation.…Read More
Social media platforms now start largely relying on artificial intelligence (AI) technologies to automatically detect and remove UGC believed to be harmful.…Read More
This study focuses on how data analytics talent in firms can have an effect on firms’ return on their technology investment. Especially with the rise of social media, cloud computing, as well as many other technologies that can capture detailed digital trace about various human interactions, we hope to understand how some firms can capture the value of the data and gain competitive advantage while some could not.…Read More
Most digital communication platforms store content and allow users to see it multiple times. Despite the benefits that recording content holds for both users and companies, many applications delete it after it was seen by the receiver (i.e., ephemeral communication channels). …Read More
Gina Bianchini, CEO and Founder of Mighty Networks, discusses how her company aims to offer an alternative to the social media giants by creating localized, niche networks that create strong relationships between communities and local businesses.…Read More
How do social interactions shape collective action, and how are they mediated by the availability of networked information technologies? To answer these questions, we study the Temperance Crusade, one of the earliest instances of organized political mobilization by women in the U.S. …Read More
We study the impact of network overlap — the overlap in network connections between two users — on content sharing in directed social media platforms. We propose a hazards model that flexibly captures the impact of three different measures of network overlap (i.e., common followees, common followers and common mutual followers) on content sharing.…Read More
We describe the effect of social media advertising content on customer engagement using data from Facebook. We content-code 106,316 Facebook messages across 782 companies, using a combination of Amazon Mechanical Turk and Natural Language Processing algorithms.…Read More
In this project, we explore the impact of startup firms’ social media activities on their entrepreneurial financing performance. Social media can mitigate information problems in entrepreneurial financing in two ways.…Read More
More than ever before, companies have at their disposal immense streams of customer data. Professor Kartik Hosanagar highlights how companies can make use of this data to attract customers online.…Read More
The nature, speed and process of innovation are undergoing radical change in recent years due to radical technology innovations that have transformed how people communicate and collaborate. The two key innovations in recent years are mobile technology and social networking.…Read More
