Weekly Link Roundup: Charleston, Voting Rights, and Marriage Equality!

This week on the interwebs:

  • The Supreme Court legalized gay marriage in all 50 states. Yeeeees!
  • Congressional Democrats introduce a new bill designed to bolster the gutted Voting Rights Act. From the article: “The 2016 election will be the first in 50 years where voters will not have the full protections of the VRA, which adds urgency to the congressional effort. Since the Shelby decision, onerous new laws have been passed or implemented in states like North Carolina and Texas, which have disenfranchised thousands of voters, disproportionately those of color. In the past five years, 395 new voting restrictions have been introduced in 49 states, with half the states in the country adopting measures making it harder to vote. “If anybody thinks there’s not racial discrimination in voting today, they’re not really paying attention,” Senator Leahy said.”
  • Don’t know what to watch this weekend? Indiewire collected a list of 115 films by and about women of color, following a Twitter conversation led by Ava DuVernay (who’s just been tapped to direct Marvel’s Black Panther!)
  • From The Toast: an interview with a slavery specialist who guides historical tours, and an interesting look in an arena of “heritage tourism.”
  • Don’t let the Charleston massacre get lost in the 24-hour news cycle. From the African American Intellectual History Society: a powerful syllabus that collects op-eds to spur further discussion and a wealth of resources on South Carolina, Confederate history, the Confederate flag and its symbolic legacy, and the history of American racism.
  • A particularly powerful piece that’s worth reading from the syllabus above: ways in which our racially fraught, violent history, which is sometimes framed as something antiquated, is in fact persistently present. A warning that this is a fairly upsetting read. But then again, so is being a victim of racism.
  • Finally: do computers dream? Google’s neural image recognition software gives us an idea of what “AI inception” might look like.
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