Claas Relotius apologises, as far right says exposure calls all German news into question
Συμφωνήθηκε η ίδρυση δικτύου για τον εντοπισμό «όπλων προπαγάνδας» που αποκρύπτουν ορθές πληροφορίες.
“Thomas Jeffrey Hanks started following you.” It was this beguiling message that set off a bizarre chain of events in August that led to the Hellenic Institute of Cultural Diplomacy believing that American actor Tom Hanks would appear at an event it was organizing in Athens.
Facebook Inc. said it removed 559 pages and 251 accounts that were coordinating the spread of misinformation and spam in the U.S. — and most originated from within the country.
A new algorithm called BigGAN creates detailed photos from scratch, representing a leap forward for AI. But it may come at a steep price.
Facebook, Google, and smaller tech companies are now using machine learning to flag misinformation—but automated systems aren’t reliable enough on their own
«Μετά λύπης μου σας πληροφορώ ότι οι φήμες περί του θανάτου μου είναι κάπως υπερβολικές». Μ’ αυτήν τη φράση είχε αντιδράσει ο Μαρκ Τουέιν όταν δημοσιεύτηκε σε μια εφημερίδα η είδηση ότι πέθανε. Και είχε προβλέψει την πραγματική χρονολογία της αποδημίας του, γράφει η Κατερίνα Τζωρτζινάκη.
He said the search engine is suppressing conservative and “fair” voices.
ANN ARBOR—An algorithm-based system that identifies telltale linguistic cues in fake news stories could provide news aggregator and social media sites like Google News with a new weapon in the fight against misinformation.
The University of Michigan researchers who developed the system have demonstrated that it’s comparable to and sometimes better than humans at correctly identifying fake news stories.
In a recent study, it successfully found fakes up to 76 percent of the time, compared to a human success rate of 70 percent. In addition, their linguistic analysis approach could be used to identify fake news articles that are too new to be debunked by cross-referencing their facts with other stories.