Safiya U. Noble
Data Bias
Invisible Women by
#1 International Bestselle​r Winner of the 2019 Financial Times and McKinsey Business Book of the Year Award Winner of the 2019 Royal Society Science Book Prize Data is fundamental to the modern world. From economic development, to healthcare, to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias, in time, money, and often with their lives. Celebrated feminist advocate Caroline Criado Perez investigates the shocking root cause of gender inequality and research in Invisible Women​, diving into women's lives at home, the workplace, the public square, the doctor's office, and more. Built on hundreds of studies in the US, the UK, and around the world, and written with energy, wit, and sparkling intelligence, this is a groundbreaking, unforgettable exposé that will change the way you look at the world.
Call Number: HQ1237 .C75 2019
Weapons of Math Destruction by
NEW YORK TIMES BESTSELLER * A former Wall Street quant sounds the alarm on Big Data and the mathematical models that threaten to rip apart our social fabric--with a new afterword "A manual for the twenty-first-century citizen . . . relevant and urgent."--Financial Times NATIONAL BOOK AWARD LONGLIST * NAMED ONE OF THE BEST BOOKS OF THE YEAR BY The New York Times Book Review * The Boston Globe * Wired * Fortune * Kirkus Reviews * The Guardian * Nature * On Point We live in the age of the algorithm. Increasingly, the decisions that affect our lives--where we go to school, whether we can get a job or a loan, how much we pay for health insurance--are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules. But as mathematician and data scientist Cathy O'Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination--propping up the lucky, punishing the downtrodden, and undermining our democracy in the process. Welcome to the dark side of Big Data.
Call Number: QA76.9.B45 O64 2016
The Googlization of Everything by
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. He exposes the dark side of our Google fantasies, raising red flags about issues of intellectual property and the much-touted Google Book Search. He assesses Google's global impact, particularly in China, and explains the insidious effect of Googlization on the way we think. Finally, Vaidhyanathan proposes the construction of an Internet ecosystem designed to benefit the whole world and keep one brilliant and powerful company from falling into the "evil" it pledged to avoid.
Call Number: HD9696.8.U64 G669 2011
Right to Be Forgotten
- Google And The Right To Be Forgotten
Forbes, October 3, 2021 - Google wins landmark right to be forgotten case
BBC, September 24, 2019 - digitization: just because you can, doesn’t mean you should
March 20, 2016 by Tara Robertson
The Complexity of Searching
Algorithms of Oppression by
A revealing look at how negative biases against women of color are embedded in search engine results and algorithms Run a Google search for "black girls"--what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls," the results are radically different. The suggested porn sites and un-moderated discussions about "why black women are so sassy" or "why black women are so angry" presents a disturbing portrait of black womanhood in modern society. 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. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance--operating as a source for email, a major vehicle for primary and secondary school learning, and beyond--understanding and reversing these disquieting trends and discriminatory practices is of utmost importance. An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century.
Call Number: ZA4230 .N63 2018
Articles
- UCLA internet studies and race scholar Safiya Noble awarded MacArthur Fellowship
UCLA Newsroom, September 28, 2921 - The Underworld of Online Content Moderation
New Yorker, July 5, 2019 - Social Media’s Silent Filter
The Atlantic, March 8, 2017
