Media Studies

Recent studies demonstrate that machine learning algorithms can discriminate based on classes like race and gender. In this work, we present an approach to evaluate bias present in automated facial analysis algorithms and datasets with respect to phenotypic subgroups. Using the dermatologist approved Fitzpatrick Skin Type classification system, we characterize the gender and skin type distribution of two facial analysis benchmarks, IJB-A and Adience.

The era of Big Data has begun. Computer scientists, physicists, economists, mathematicians, political scientists, bio-informaticists, sociologists, and other scholars are clamoring for access to the massive quantities of information produced by and about people, things, and their interactions. Diverse groups argue about the potential benefits and costs of analyzing genetic sequences, social media interactions, health records, phone logs, government records, and other digital traces left by people. Significant questions emerge.

The Arab Uprisings of 2011 can be seen as a turning point for media and information studies scholars, many of whom newly discovered the region as a site for theories of digital media and social transformation. This work has argued that digital media technologies fuel or transform political change through new networked publics, new forms of connective action cultivating liberal democratic values. These works have, surprisingly, little to say about the United States and other Western colonial powers’ legacy of occupation, ongoing violence and strategic interests in the region.

In the beginning, the World Wide Web was exciting and open to the point of anarchy, a vast and intimidating repository of unindexed confusion. Into this creative chaos came Google with its dazzling mission—“To organize the world’s information and make it universally accessible”—and its much-quoted motto, “Don’t be evil.” In this provocative book, Siva Vaidhyanathan examines the ways we have used and embraced Google—and the growing resistance to its expansion across the globe.

If you wanted to build a machine that would distribute propaganda to millions of people, distract them from important issues, energize hatred and bigotry, erode social trust, undermine respectable journalism, foster doubts about science, and engage in massive surveillance all at once, you would make something a lot like Facebook. Of course, none of that was part of the plan.

In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color.

This book examines Zoombombing, the racist harassment and hate speech on Zoom.

Digitization has transformed the way we interact with our social, political and economic environments. While it has enhanced the potential for citizen agency, it has also enabled the collection and analysis of unprecedented amounts of personal data. This requires us to fundamentally rethink our understanding of digital citizenship, based on an awareness of the ways in which citizens are increasingly monitored, categorized, sorted and profiled.

Since the 1960s, a significant effort has been underway to program computers to “see” the human face—to develop automated systems for identifying faces and distinguishing them from one another—commonly known as Facial Recognition Technology. While computer scientists are developing FRT in order to design more intelligent and interactive machines, businesses and states agencies view the technology as uniquely suited for “smart” surveillance—systems that automate the labor of monitoring in order to increase their efficacy and spread their reach.

The Panoptic Sort was published in 1993. Its focus was on privacy and surveillance. But unlike the majority of publications addressing these topics in the United States at the time that were focused on the privacy concerns of individuals, especially those related to threats associated with government surveillance, that book sought to direct the public toward the activities of commercial firms.