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dr tech

TechScape: Why Elon Musk is taking trying to mute anti-hate-speech group | Technology | The Guardian - 0 views

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    "Censorship, or rather his stance against it, is a key reason why Elon Musk bought Twitter for $44bn last year. His social media company's lawsuit against an anti-hate speech group refers to censorship, or variations on the word, eight times. But for critics of his complaint against the Center for Countering Digital Hate (CCDH), it is Musk who is doing the censoring. "The intent is definitely to get the centre to shut up. That's the whole point of this suit, to prevent the centre from exercising any speech that Musk doesn't like," says Prof Brian Quinn from Boston College law school."
dr tech

(1) How Technology is "Downgrading Humans" (Tristan Harris X Capgemini) - YouTube - 0 views

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    "Tristan Harris presents on 1) why humans as a species are vulnerable to technology, 2) why it's so hard to solve the issues of social media algorithms, artificial intelligence, and exponential tech, and 3) what it will take to come together to avoid these existential threats."
dr tech

Social Internet Is Dead. Get Over It. - On my Om - 0 views

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    "Their research, published in Science, found that misinformation is '70 percent more likely to be retweeted on Twitter than the truth,' and that the fake news 'reached 1,500 people about six times faster than the truth.'" About 126,000 rumors were spread by ∼3 million people. False news reached more people than the truth; the top 1% of false news cascades diffused to between 1,000 and 100,000 people, whereas the truth rarely diffused to more than 1000 people. Falsehood also diffused faster than the truth. The degree of novelty and the emotional reactions of recipients may be responsible for the differences observed. (via Science)"
dr tech

AI tidies up Wikipedia's references - and boosts reliability - 0 views

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    "Wikipedia lives and dies by its references, the links to sources that back up information in the online encyclopaedia. But sometimes, those references are flawed - pointing to broken websites, erroneous information or non-reputable sources. A study published on 19 October in Nature Machine Intelligence1 suggests that artificial intelligence (AI) can help to clean up inaccurate or incomplete reference lists in Wikipedia entries, improving their quality and reliability."
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