azure thorns

またこっちにも載せるの忘れてましたが猫の日の落描きを...

リチねこさん

WAKA-SAMA

#twstファンアート
#twistedwonderland

ジャミカリ

The ultimate bebegorl 🔥🔥🔥🎀🍰
#idiashroud #idiafanart #twistedwonderland #twstfanart

#Yumeship #twst #twistedwonderland #malleusdraconia #malleus #art

illust twst floyd mer-form

🦈！

illust twst

深海の魔女

ねこのひ🐾

illust Idia Shroud twst

イデア氏🔥練習 髪の毛描くの楽しい

冬の事情🍩

🍳

ハーネスラギ🍩

ねこちゃん()なラギくん

⋆.˚ ☾⭒.˚

#idia #twst #twistedwonderland #ツイステ

some mom bods #twst

I feel like Deuce Spade’s Magicam is just Jackass. Like the most absurd videos you’ve ever seen of him and Ace + other freshman doing the most physically dangerous stupid shit possible. Occasional Cater feature totally eating dirt on his skateboard.

Article: The political effects of X’s feed algorithm Abstract: Feed algorithms are widely suspected to influence political attitudes. However, previous evidence from switching off the algorithm on Meta platforms found no political effects1. Here we present results from a 2023 field experiment on Elon Musk’s platform X shedding light on this puzzle. We assigned active US-based users randomly to either an algorithmic or a chronological feed for 7 weeks, measuring political attitudes and online behaviour. Switching from a chronological to an algorithmic feed increased engagement and shifted political opinion towards more conservative positions, particularly regarding policy priorities, perceptions of criminal investigations into Donald Trump and views on the war in Ukraine. In contrast, switching from the algorithmic to the chronological feed had no comparable effects. Neither switching the algorithm on nor switching it off significantly affected affective polarization or self-reported partisanship. To investigate the mechanism, we analysed users’ feed content and behaviour. We found that the algorithm promotes conservative content and demotes posts by traditional media. Exposure to algorithmic content leads users to follow conservative political activist accounts, which they continue to follow even after switching off the algorithm, helping explain the asymmetry in effects. These results suggest that initial exposure to X’s algorithm has persistent effects on users’ current political attitudes and account-following behaviour, even in the absence of a detectable effect on partisanship.

Figure 2. ITT estimates of feed-setting changes on engagement and political attitudes. ITT effect estimates of switching the algorithm on and off (in s.d.). Left, effect of moving from the chronological to the algorithmic feed for users initially on the chronological feed. Right, effect of moving in the opposite direction for users initially on the algorithmic feed. For each outcome, the results of two specifications are reported. Blue, unconditional estimates with robust s.e., controlling only for the initial feed setting and, where applicable, pre-treatment outcome levels. Orange: conditional estimates, controlling for pre-treatment covariates using GRFs; 90% and 95% CIs are reported. Numerical effect sizes and P values correspond to the conditional estimates (all tests are two-sided). The unit of observation is respondent. From top to bottom, sample sizes are n = 4,965, n = 3,337, n = 4,965, n = 4,965, n = 4,596, n = 4,596 and n = 4,850. Tests are described in Methods. Supplementary Information Table 2.16 reports the exact numerical point estimates, s.e., CIs and sample sizes for every specification. All outcomes are standardized. Additional results are presented in Supplementary Information section 2. PCA, first principal component from principal component analysis.

X's algorithm is in fact doing what you think it's doing. www.nature.com/articles/s41...

エペジャク

節分！！
#twstファンアート

🐺　14/22完成ッ🎶

オバブロ🦁
#twstファンアート #ツイステファンアート

idk what to use for my pfp but for now I draw Epel since he's my first twst oshi 🍎

Idia Shroud at a desk with a laptop, wearing headphones, saying "CAN YOU LOCK TF IN."

thanks idia

エー監

トラポラ落書き

재밌다

surely not just drawing this for myself surely not

#twst #cater

美味しかったねかれるちゃぺっれぺのチョコ🍫