Māori End of Life, KineMaster, Ever Given OSINT, More: Monday Evening ResearchBuzz, March 29, 2021


Scoop Culture: Website’s Digital Stories Highlight Care Of Dying Māori Kaumātua. “A new website that focuses on Māori end of life experiences was launched today. Short films showcasing whānau care of kaumātua as they approach death will serve as a key focal point. The site is a response to concerns that Māori are losing knowledge of traditional end of life caregiving tikanga (customs).”


MakeUseOf: How to Edit Videos on Your Phone With KineMaster. “You’ve shot a video using your phone, and now it’s time to edit. But what if you suck at video editing and don’t have the money to hire a professional editor? There’s no need to worry. It’s simple to edit your videos (for free) using KineMaster, a mobile video editor. KineMaster is an easy-to-use editing app with tons of features. Its drag-and-drop features let you edit videos on the go, as well as adding media to it.”

Bellingcat: Suez Canal: Satellite Clues on a Stricken Cargo Ship. “It’s hard to miss. The Ever Given, at 400 metres long, is one of the largest container ships in the world. It is therefore reasonable to assume that it will be easily identifiable with a simple search of satellite imagery. As such, the vessel provides an opportunity to demonstrate how open-source information and satellite imagery can help paint a detailed picture of a developing news story.”


The Scotsman: Artists, poets and language lovers speak out as they face a torrent of online abuse for speaking Scots. “Scottish folk singer Iona Fyfe writes and performs in the Scots language. She explained that she doesn’t receive much abuse for her music, despite singing in Scots, but when she speaks or writes social media updates in the language, that’s when her Twitter feed is hit hard.”

El País: Spain’s social media provocateurs gear up for digital war ahead of Madrid election. “If the May 4 election in Madrid is a war between communism and freedom in the eyes of the political right, [Luis “Alvise” Pérez] is the closest thing they have to a kamikaze. Always prepared to overstep the mark, the Seville-born 31-year-old’s nickname is a frequent trending topic, generating both hatred and admiration. As far as his admirers are concerned, his fearless ability to stir things up is ideal for engaging in cyber-combat on social media, where the new hyper-polarized politics play out and people like Alvise thrive.”


RadioWorld: FCC Can Use New Pirate Radio Fines Starting April 26. “The Federal Register has now published rules that the FCC recently adopted at the direction of Congress in the ‘Preventing Illegal Radio Abuse Through Enforcement (PIRATE) Act.’ The rules take effect April 26….The law also mandated the creation of a publicly accessible online database that lists U.S. stations as well as all entities that have received notice that they are operating a broadcast station without authority.”

BBC: Mafia fugitive caught after posting cooking show on YouTube. “A fugitive Italian gangster’s urge to show off his cooking skills has landed him in jail after seven years on the run. Italian police tracked down Marc Feren Claude Biart, 53, through the culinary videos he had uploaded to YouTube. While he carefully hid his face, he failed to disguise his body tattoos.”

Arab News: Online privacy fears mount as India sets tougher social media controls. “It means that Facebook, Twitter, WhatsApp and other services are more accountable to requests for removal of content and the identification of users who are deemed to have committed illegal acts by authorities. Under the Intermediary Guidelines and Digital Media Ethics Code, social media platforms have to remove content within 36 hours of receiving a legal order and assist law enforcers in probing cybersecurity-related incidents within 72 hours of receiving a request.”


The Diplomat: Beijing Is Getting Better at Disinformation on Global Social Media. “When China-linked networks of social media bots and trolls appeared on the global disinformation scene in 2019, most analysts concluded that their impact and reach were fairly limited, particularly in terms of engagement by real users and relative to more sophisticated actors in this realm, like the Russian regime. As many China watchers anticipated, that assessment now seems to be changing.”

VentureBeat: MIT study finds ‘systematic’ labeling errors in popular AI benchmark datasets. “The field of AI and machine learning is arguably built on the shoulders of a few hundred papers, many of which draw conclusions using data from a subset of public datasets. Large, labeled corpora have been critical to the success of AI in domains ranging from image classification to audio classification. That’s because their annotations expose comprehensible patterns to machine learning algorithms, in effect telling machines what to look for in future datasets so they’re able to make predictions. But while labeled data is usually equated with ground truth, datasets can — and do — contain errors.” Good evening, Internet…

Do you like ResearchBuzz? Does it help you out? Please consider supporting it on Patreon. Not interested in commitment? Perhaps you’d buy me an iced tea. I love your comments, I love your site suggestions, and I love you. Feel free to comment on the blog, or @ResearchBuzz on Twitter. Thanks!

Categories: afternoonbuzz

Leave a Reply