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Tinder will stop banning accounts mentioning Black Lives Matter

Engadget

Dozens of Tinder users were banned from the online dating app after mentioning Black Lives Matter in their profiles, according to Buzzfeed News. Some had added Black Lives Matter hashtags to their profiles, while others encouraged matches to sign petitions or donate to causes. According to BBC, Tinder's guidelines state that accounts can't be used for "promotional purposes," so the company may have been enforcing this rule when banning the accounts. However, it has reversed course, telling Buzzfeed News that it will act upon those terms "in line with our values." A spokesperson said that Tinder has "voiced our support for the Black Lives Matter movement and want our platform to be a place where our members can do the same."


Grindr dating app removes ethnicity filter to support Black Lives Matter

The Guardian

Grindr is removing an "ethnicity filter" from its dating app as part of its support for the Black Lives Matter movement, the company announced on Monday. The controversial feature, limited to those who stump up £12.99 a month for the premium version of the app, allows users to sort search results based on reported ethnicity, height, weight and other characteristics. In a statement posted to Instagram, the company said "We stand in solidarity with the #BlackLivesMatter movement and the hundreds of thousands of queer people of color who log in to our app every day. "We will continue to fight racism on Grindr, both through dialogue with our community and a zero-tolerance policy for racism and hate speech on our platform. As part of this commitment, and based on your feedback, we have decided to remove the ethnicity filter from our next release.


Dating app Grindr removes 'ethnicity filter' allowing users to search for potential partners by race

Daily Mail - Science & tech

Dating app Grindr has said it will remove its'ethnicity filter' that allows users to search potential matches by race. Singletons prepared to pay £12.99-a-month for the'premium' service are currently able to sort users based on their ethnicity, weight, height, and other characteristics. But less than 24 hours after its tweet supporting'Black Lives Matter' received widespread condemnation over the filter, the company has said it will delete it. Protests have rocked the US for six days following the death of George Floyd, who was filmed gasping'I can't breathe' as an officer knelt on his neck in Logan County, West Virginia. Writing on Twitter, the app said: 'As part of our commitment to (Black Lives Matter), we have decided to remove the ethnicity filter from our next release.


Study: Tinder, Grindr And Other Apps Share Sensitive Personal Data With Advertisers

NPR Technology

Dating apps, including Tinder, give sensitive information about users to marketing companies, according to a Norwegian study released Tuesday. Dating apps, including Tinder, give sensitive information about users to marketing companies, according to a Norwegian study released Tuesday. A group of civil rights and consumer groups is urging federal and state regulators to examine a number of mobile apps, including popular dating apps Grindr, Tinder and OKCupid for allegedly sharing personal information with advertising companies. The push by the privacy rights coalition follows a report published on Tuesday by the Norwegian Consumer Council found that 10 apps collect sensitive information including a user's exact location, sexual orientation, religious and political beliefs, drug use and other information and then transmits the personal data to at least 135 different third-party companies. The data harvesting, according to the Norwegian government agency, appears to violate the European Union's rules intended to protect people's online data, known as the General Data Protection Regulation.


The 2018 Survey: AI and the Future of Humans

#artificialintelligence

"Please think forward to the year 2030. Analysts expect that people will become even more dependent on networked artificial intelligence (AI) in complex digital systems. Some say we will continue on the historic arc of augmenting our lives with mostly positive results as we widely implement these networked tools. Some say our increasing dependence on these AI and related systems is likely to lead to widespread difficulties. Our question: By 2030, do you think it is most likely that advancing AI and related technology systems will enhance human capacities and empower them? That is, most of the time, will most people be better off than they are today? Or is it most likely that advancing AI and related technology systems will lessen human autonomy and agency to such an extent that most people will not be better off than the way things are today? Please explain why you chose the answer you did and sketch out a vision of how the human-machine/AI collaboration will function in 2030.



YouTube is changing its algorithms to stop recommending conspiracies

Washington Post - Technology News

YouTube said Friday it is retooling its recommendation algorithm that suggests new videos to users in order to prevent promoting conspiracies and false information, reflecting a growing willingness to quell misinformation on the world's largest video platform after several public missteps. In a blog post that YouTube plans to publish Friday, the company said that it was taking a "closer look" at how it can reduce the spread of content that "comes close to -- but doesn't quite cross the line" of violating its rules. YouTube has been criticized for directing users to conspiracies and false content when they begin watching legitimate news. The change to the company's recommendation algorithms is the result of a six-month-long technical effort. It will be small at first -- YouTube said it would apply to less than 1 percent of the content of the site -- and affects only English-language videos, meaning that much unwanted content will still slip through the cracks.


Dating apps are RACIST and should be redesigned without racial filters, study claims

Daily Mail - Science & tech

Dating apps that allow users to filter their searches by race - or rely on algorithms that pair up people of the same race - reinforce racial divisions and biases, according to a new paper by Cornell University researchers. Researchers called for the apps to be redesigned, and for'racist' algorithms should be reprogrammed. Experts say that amid the huge rise in the usage of dating apps are meaning people are failing to meet diverse potential partners. Cornell researchers called for the apps to be redesigned, and for'racist' algorithms should be reprogrammed. The paper revealed how simple design decisions could decrease bias against people of all marginalized groups.


Why is OK for online daters to block whole ethnic groups?

The Guardian

Sinakhone Keodara reached his breaking point last July. Loading up Grindr, the gay dating app that presents users with potential mates in close geographical proximity to them, the founder of a Los Angeles-based Asian television streaming service came across the profile of an elderly white man. He struck up a conversation, and received a three-word response: "Asian, ew gross." He is now considering suing Grindr for racial discrimination. For black and ethnic minority singletons, dipping a toe into the water of dating apps can involve subjecting yourself to racist abuse and crass intolerance.


#KindrGrindr: Gay dating app launches anti-racism campaign

BBC News

If you're a black or Asian user of gay dating app Grindr, then it's possible you've encountered racism while using it. Some users of the app have said they've come across what they believe are discriminatory statements on other profiles - things like "no blacks and no Asians". Others say they've faced racist comments in conversation with users when they've rejected their advances. Now Grindr has taken a stand against discrimination on its platform and says no user is entitled to tear another down for "being who they are". It's launched the #KindrGrindr campaign to raise awareness of racism and discrimination and promote inclusivity among users.