Follow Datanami:

Tag: fake news

At a National Laboratory, AI Tackles Misinformation & More

In a world that is slowly recovering from the COVID-19 pandemic and a country that is slowly recovering from the 2020 election, misinformation is an increasingly urgent topic, with issues like vaccination and election in Read more…

How AI Accelerates the Fight Against Fake News

Microchips in coronavirus vaccines. Pedophile rings in pizza restaurants. Jewish space lasers. The Internet--bless its heart--has always suffered from its share of wacky wingnuts and conspiracy theories. But in the wake Read more…

AI Squares Off Against Fake News

In 2016, “fake news” was the Oxford English Dictionary’s Word of the Year. Thousands upon thousands of fake stories had plagued the internet throughout the U.S. presidential election – some shared millions and mi Read more…

Facing Up to Image Fakery

The folks who transformed digital imagery nearly three decades ago with the introduction of Adobe Photoshop are now using deep neural networks to help detect doctored faces and other faked imagery. Add newer social me Read more…

The AI That Writes Fake News

Following the 2016 presidential election, real journalists worked to expose the fake news that human charlatans wrote and spread across the Internet for the LOLS and for profit. But the bigger threat on the fake news fro Read more…

ML Enlisted to Slow the Spread of Fake News

As should be obvious by now, traditional fact-checking methods have failed to stop “fake news” from spreading like wildfire via social media circuits. While platforms like Facebook (NASDAQ: FB) are developing new Read more…

‘Dual-Use’ AI Poses New Security Threats

While the genie may already be out of the bottle, the rapid growth and broad availability of AI and machine learning technology along with a growing list of development tools is prompting critics to highlight future secu Read more…

Fake News, AI, and the Search for Truth

Multiple weaknesses were exposed in public institutions in connection with last year's election. First, cybercriminals tried to hack the outcome, then pollsters failed to read voter sentiment accurately. Finally, fake ne Read more…

Datanami