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Coverage of Bay Area Anti-Asian Violence Is Missing a Key Element

Slate

In San Francisco, Mayor London Breed announced this week that the city's police would patrol predominantly Asian neighborhoods more frequently, following the killings of eight people at spas in Atlanta. Tuesday's events in Georgia have ratcheted up anxieties in the Asian American communities in the Bay Area, following a full year of crimes against community members, including a string of assaults of Asian American elders--most recently, septuagenarian Pak Ho, who was robbed and killed near Lake Merritt last week. Some (not all) of the video evidence of anti-Asian attacks in the Bay Area has featured Black perpetrators. I spoke with Claire Jean Kim, a professor of political science and Asian American studies at the University of California, Irvine, who has previously written a book about Black-Korean community relations in New York City and is finishing up a new one: Asian Americans in an Anti-Black World. I asked Kim to give some historical context for the Bay Area attacks and to critique how the media has been doing in covering the racial dimensions of these crimes. Our conversation has been edited and condensed for clarity.


'Don't call me BAME': Why some people are rejecting the term

BBC News

"'Don't worry, you'll do well because you're BAME,' 'BAME is the new trend,' 'Everyone is looking for a BAME actor to add to their books.'" When 24-year-old Nicole Miners first heard the term - which stands for black, Asian and minority ethnic - she was at drama school. "Being a British East Asian actor, or just a person, this was something that really aggravated me," she says. "The'A' in'BAME' means Asian, which, in itself, is a very broad term.


ePluribus: Ethnicity on Social Networks

AAAI Conferences

We propose an approach to determine the ethnic breakdown of a population based solely on people's names and data provided by the U.S. Census Bureau. We demonstrate that our approach is able to predict the ethnicities of individuals as well as the ethnicity of an entire population better than natural alternatives. We apply our technique to the population of U.S. Facebook users and uncover the demographic characteristics of ethnicities and how they relate. We also discover that while Facebook has always been diverse, diversity has increased over time leading to a population that today looks very similar to the overall U.S. population. We also find that different ethnic groups relate to one another in an assortative manner, and that these groups have different profiles across demographics, beliefs, and usage of site features.


Affirmative Action Won, But Now It Faces a Far Bigger Threat

Mother Jones

Samuel Alito knows how to play the long game. The Supreme Court justice might find himself increasingly authoring dissents for the minority side of the eight-member court, following the February death of Justice Antonin Scalia, but that doesn't keep him from trying to move the ball on ideological issues he cares about. In his opinions, he has invited activists to bring new anti-union cases and advanced a far more radical interpretation of religious freedom than the court has ever recognized. And on Thursday, in his lengthy dissent in a major affirmative action case, he seemed to lay the groundwork to bolster two other cases making their way to the court that could prove far more threatening to the use of race in college admissions. Thursday's surprise ruling in Fisher v. University of Texas upheld the use of race in admissions at the University of Texas, in a case brought eight years ago by Abigail Fisher, who claimed she was shut out of the flagship state university because she was white.


A Privacy Dustup at Microsoft Exposes Major Problems for A.I.

#artificialintelligence

The results you get when you search for an image on Google have something in common with Siri's ability to listen to your commands. All of these features are fed by enormous piles of data. These datasets might contain thousands of pictures of faces or gigabytes of audio logs of human speech. They are the raw material used by nearly everyone who wants to work with A.I., and they don't come cheap. It takes expertise and investment to build them.