Software
It was a technological feat that made history, wowed audiences and brought a dead rapper back to life. In April 2012 at the Coachella festival in California, Tupac Shakur took to the stage with Snoop Dogg and Dr. Dre. He'd ...
Apr 15, 2022
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Internet
Twitter users will soon see new warning labels on false and misleading tweets, redesigned to make them more effective and less confusing.
Nov 16, 2021
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Computer Sciences
When images are uploaded to online platforms, they are often tagged with automatically generated labels that indicate what is shown, such as a dog, tree or car. While these labeling systems are often accurate, sometimes the ...
Oct 27, 2020
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Internet
Facebook on Thursday began labelling media organizations whose editorial calls may be under the influence of governments and said ads from those outlets would be blocked later this year.
Jun 4, 2020
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Internet
Twitter said Monday it began tagging "misleading" and "disputed" claims about the coronavirus pandemic in a stepped-up effort to label potentially harmful content.
May 12, 2020
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8
Internet
Instagram on Monday announced it had gone global in its fight against misinformation, expanding its third-party fact-checking network around the world.
Dec 17, 2019
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Consumer & Gadgets
The green lifestyle has been increasingly popular in recent years. According to the 2023 China Consumption Trend Report, 73.8% of customers prioritize buying environmentally friendly products. Tools such as eco-labels are ...
Feb 29, 2024
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Computer Sciences
Crowdsourcing provides an effective and low-cost way to collect labels from crowd workers. Due to the lack of professional knowledge, the quality of crowdsourced labels is relatively low. A common approach to addressing this ...
Oct 30, 2023
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Business
In its bid to curb misinformation, TikTok said on Tuesday it will begin launching a new tool that will help creators label AI-generated content they produce.
Sep 19, 2023
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1
Computer Sciences
Label distribution learning (LDL) is a new learning paradigm to deal with label ambiguity. Compared with traditional supervised learning scenarios, annotation with label distribution is more expensive. Direct use of existing ...
Sep 5, 2023
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