Over the past two decades, online news headlines have become longer, more negative, and increasingly use features linked to clickbait. This shift is widespread across outlets of all political leanings and journalistic quality.
www.nature.com/articles/s41...
"Pro-AfD posts dominated the partisan content we were shown from accounts we didn't follow on TikTok and X" jumpshare.com/s/tqzgE7gQ2Q...
“Torrenting from a corporate laptop doesn’t feel right”: Meta emails unsealed
A photo of Aaron Swartz (1986-2013) when he was 19.
Last month, Meta admitted to torrenting a controversial large dataset known as LibGen, which includes tens of millions of pirated books. But details around the torrenting were murky until yesterday, when Meta's unredacted emails were made public for the first time. The new evidence showed that Meta torrented "at least 81.7 terabytes of data across multiple shadow libraries through the site Anna’s Archive, including at least 35.7 terabytes of data from Z-Library and LibGen," the authors' court filing said. And "Meta also previously torrented 80.6 terabytes of data from LibGen."
Meta illegaly downloaded 80+ terabytes of books from LibGen, Anna's Archive, and Z-library to train their AI models.
In 2010, Aaron Swartz downloaded only 70 GBs of articles from JSTOR (0.0875% of Meta). Faced $1 million in fine and 35 years in jail. Took his own life in 2013.
For anyone who's curious, here's what those differences look like throughout the day:
Great piece and if the WSJ op ed page is willing to run it, maybe the dam is breaking a bit on the unscientific moral panic over teens and smartphones. @candiceodgers.bsky.social @mimbs.bsky.social
Bar chart showing excess mortality of Americans aged 25-44, in 2011-2023, broken into causes of death. The chart shows a big growth over time, especially from drug deaths, "other natural causes," and transport-related deaths (car collisions), as well as from Covid-19 in 2021.
Line graph showing the relative (proportional) excess mortality of Americans aged 25-44, in 2011-2023, broken into causes of death. The graph shows big growth in "other natural causes," transport deaths (car collisions), alcohol-related deaths, and homicide.
New today:
Death rates for Americans aged 25-44 have been rising since 2010. Their mortality is now 70% higher than it would be had pre-2011 mortality declines continued.
w Rafeya Raquib, Katie Berry, Keeley Morris, & @astokespop.bsky.social
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jamanetwork.com/journals/jam...
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Purging vital public data at CDC. How it started (yesterday from wayback machine), how it's going www.cdc.gov/yrbs/index.h...
I'm sure certain measures won't be 😕
At least we have atusdata.org... but what about future releases? I wonder if IPUMS will even get them?
Census website? :(
Long Doan, @lsayer.bsky.social, and I have a new paper comparing the time use patterns of MTurk and Prolific respondents, and we show how they both differ from contemporaneous data collected by the American Time Use Survey (ATUS): journals.sagepub.com/doi/epub/10....
Young in their teens and 20s, especially men, are spending more time alone than in previous generations. They ""now hang out about as much as someone 10 years older than them did in the past."
Interesting data from @jburnmurdoch.bsky.social
www.ft.com/content/2305...
Good Thursday Morning to Everyone! Im super excited to share this fresh out article "Looking beyond marital status: What we can learn from relationship status measures" with @gaylekaufman.bsky.social Open access at JMF: doi.org/10.1111/jomf...
Rostock is a beautiful town! I highly suggest Otto's Restaurantschiff for lunch. It's right next to the institute.
New paper out in @ScienceMagazine! In 8 studies (multiple platforms, methods, time periods) we find: misinformation evokes more outrage than trustworthy news, when it does it's shared more + ppl are less likely to read before sharing. w/ @killianmcl1 @Klonick @mollycrockett 🧵👇
Yep, that's what I meant. And no worries.
I meant distinguishing non-cohabiting partnered from single. So few surveys provide that measure. I'm just curious if you know any that might capture that distinction.
You and me both!
Hey Philip, do you know of any nationally representative datasets that break the Single category into partnered and un-partnered?
Having just jumped ship from Twitter/X, perhaps now is a good time to repost my thoughts on social media transparency (which Bluesky does right) and disinformation: thehill.com/opinion/tech...
#disinformation
