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Licensing Hotline: November 2022

Read on for news about Studio Fun s Blippi books, Abrams’s middle grade and graphic novels tied to the classic Nickelodeon horror series Are You Afraid of the Dark?, 80th anniversary tie-ins for The Little Prince, and more.

Valle Jewelers - Batavia, NY 14020

Valle Jewelers - Batavia, NY 14020
thebatavian.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from thebatavian.com Daily Mail and Mail on Sunday newspapers.

Valle Jewelers

Valle Jewelers
thebatavian.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from thebatavian.com Daily Mail and Mail on Sunday newspapers.

More than a bookstore - Sidney Daily News

More than a bookstore By Luke Gronneberg - lgronneberg@sidneydailynews.com An old photo of Kathryn and Sam Resses’ News Stand and Bookstore. Reed Jewelers can be seen next door on the right. A sign advertising Greyhound hangs over the news stand door. Luke Gronneberg | Sidney Daily News A menu sign that Kathryn Rees kept that was left over from when their building used to be the Daisy Cafe. Luke Gronneberg | Sidney Daily News Kathryn Rees, of Sidney, displays one of the original money bags she once used to transport money from the Sidney News Stand and Bookstore across the street to Citizens Baughman National Bank.

Facebook job ads algorithm still discriminates on gender, LinkedIn not so much

Gender bias found in employment adverts despite antisocial network giant s past promises Share Copy Two years after Facebook settled five lawsuits claiming that its employment, housing, and credit ads illegally discriminate, researchers with the University of Southern California have found that the company still serves job ads unfairly, based on gender. In a paper titled Auditing for Discrimination in Algorithms Delivering Job Ads, scheduled to appear at The Web Conference later this month, Basileal Imana, a doctoral student at USC, Aleksandra Korolova, USC assistant professor of computer science, and John Heidemann, USC research professor of computer science, explore bias in algorithmic job ad delivery at Facebook and LinkedIn.

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