Ars Technica: Up to 9.5 million net neutrality comments were made with stolen identities

Ars Technica: Up to 9.5 million net neutrality comments were made with stolen identities. “The New York attorney general’s office is widening an investigation into fraudulent net neutrality comments, saying it estimates that up to 9.5 million comments were submitted using stolen identities.”

Wired: These New Tricks Can Outsmart Deepfake Videos—for Now

Wired: These New Tricks Can Outsmart Deepfake Videos—for Now. “For weeks, computer scientist Siwei Lyu had watched his team’s deepfake videos with a gnawing sense of unease. Created by a machine learning algorithm, these falsified films showed celebrities doing things they’d never done. They felt eerie to him, and not just because he knew they’d been ginned up. ‘They don’t look right,’ he recalls thinking, ‘but it’s very hard to pinpoint where that feeling comes from.’ Finally, one day, a childhood memory bubbled up into his brain. ”

CTV News: With grid now crowdsourced, digital maps can steer you wrong

CTV News: With grid now crowdsourced, digital maps can steer you wrong. “For centuries, people have relied on maps to figure out where they are and where they’re going. But today’s digital maps — seemingly more precise than ever –aren’t always as dependable as they appear.”

‘Tech giants must do more’: ACCC slams Facebook, Google for fake ads (Brisbane Times)

Brisbane Times: ‘Tech giants must do more’: ACCC slams Facebook, Google for fake ads. “Digital giants Facebook and Google have been urged to ‘do more’ to crack down on fake advertisements claiming celebrities are endorsing a product after a four-fold increase in complaints to the competition regulator.”

Syracuse University: ORI Grant Funds Automated Tool to Detect Potential Fraud in Scientific Papers

Syracuse University: ORI Grant Funds Automated Tool to Detect Potential Fraud in Scientific Papers. “The Office of Research Integrity in the U.S. Department of Health and Human Services has awarded funding to a School of Information Studies (iSchool) professor to further automate the detection of fraudulent material in scientific papers. A grant of $149,310 has been awarded to Daniel Acuna, assistant professor. His project aims to advance the detection process by developing tools and systems, including scalable software and infrastructure and statistical feedback, to be used by integrity investigators. The award was presented for his project, “Methods and Tools for Scalable Figure Reuse Detection with Statistical Certainty Reporting.” Acuna plans to develop a data-searching tool that will boost the scale at which articles are automatically searched to detect figure reuse, thus finding cases of potential inauthenticity and inappropriate reuses much more quickly and across broader repositories of information. “

AZ Central: Fake military recruiting websites duped millions of students, potential recruits

AZ Central: Fake military recruiting websites duped millions of students, potential recruits. “At least 13 fake military recruitment websites tricked potentially millions of people into giving their contact information to telemarketers, according to a complaint by the Federal Trade Commission. The sites falsely claimed they would not share personal information.”