EIN PENIS ERKLÄRT UNS DIE WELT
OMG - was schreibt die da? Is sie jetzt Kampf-Feministin geworden? Was soll der Scheiss?
Tjo - liebe Leute...lests es nach:
https://books.manukagenialis.com/ein-penis-erklart-uns-die-welt
Really interesting essay today by Caroline Criado Perez (if you haven’t read her book, Invisible Women, I highly recommend) on why she doesn’t think imposter “syndrome” exists, but rather that women feeling like imposters is a very rational response to a culture that treats women in many roles as imposters. There’s a perfection trap.
https://open.substack.com/pub/carolinecriadoperez/p/the-perfection-trap?r=18451&utm_medium=ios
#women #bias #data
Cognitive biases: We all have them (yes, even you) 
I've seen a few #statistics today detailing the #gender #bias of #mastodon users.
I've seen figures around 65% male
How are they arriving at these #figures? Almost no one signs up here with the kind of #information that would seem to allow this act of divination.
I can only wonder if they're simply relying on #usernames?
I think the truth is, rather like #matrix and #signal, no one really knows.
I certainly place no credence in what I've read at all.
"Buried in the messages between National Security Adviser Mike Waltz, Defence Secretary Pete Hegseth, and other cabinet members is a horrible demonstration of narrative engineering.
"While the legacy media fixates on ‘classified information’, the real story is actually not the incompetence of these people but instead how they casually discussed spinning the bombing of Yemen—an already battered and famine-ravaged nation—into a palatable story for the American and global public. Let’s have a look":
https://thespectaclemag.substack.com/p/how-to-sell-a-massacre by Deaglan O'Mulrooney 
Cognitive biases: We all have them (yes, even you)
Automating Injustice: “Predictive” policing in #Germany - https://algorithmwatch.org/en/automating-injustice-predictive-policing-germany/ #bias
Algorithmic Policing: When #Predicting Means Presuming Guilty - https://algorithmwatch.org/en/algorithmic-policing-explained/ #bias #ux #paper
"In terms of racial identity, white Americans have had the choice of being something vague, something unraced and separate from race. A capitalized "White" challenges that freedom, by unmasking Whiteness as an American racial identity as historically important as "Blackness" — which it certainly is."
~ Nell Irvin Painter: https://www.wctrib.com/opinion/nell-irvin-painter-why-white-should-be-capitalized-too via @breton
People saw fresh #fruits and #vegetables as healthier than frozen or canned.
- Similar #health ratings helped people realize canned (but not frozen) could be as healthy (Study 1).
- Implicit association tests revealed indirect #bias for fresh over frozen and canned (Study 2).
![9.2. IAT canned versus fresh food condition
There was a significantly slower categorization rate (MDifference-Score = 0.81, SD = 0.30; t(44) = 19.17; p < 0.00001, 95 % CIDScore[0.73, 0.90], r = 0.71) for images of canned items when paired with ‘good’ words, compared to fresh food images. This effect had a large effect size (Cohen's d = 2.74), suggest a strong implicit bias against canned foods.
9.3. IAT frozen versus fresh food condition
There was a significantly slower categorization rate (MDifference-Score = 0.92, SD = 0.25; (t(44) = 24.66; p < 0.00001, 95 % CIDScore[0.85, 0.99], r = 0.72) for images of frozen items when paired with ‘good’ words compared to fresh food images. This effect had a large effect size (Cohen's d = 3.68), indicating a robust implicit bias favouring fresh foods over frozen options.](https://nerdculture.de/system/media_attachments/files/114/239/593/645/760/300/original/e458d02ee43aa41f.jpeg "9.2. IAT canned versus fresh food condition
There was a significantly slower categorization rate (MDifference-Score = 0.81, SD = 0.30; t(44) = 19.17; p < 0.00001, 95 % CIDScore[0.73, 0.90], r = 0.71) for images of canned items when paired with ‘good’ words, compared to fresh food images. This effect had a large effect size (Cohen's d = 2.74), suggest a strong implicit bias against canned foods.
9.3. IAT frozen versus fresh food condition
There was a significantly slower categorization rate (MDifference-Score = 0.92, SD = 0.25; (t(44) = 24.66; p < 0.00001, 95 % CIDScore[0.85, 0.99], r = 0.72) for images of frozen items when paired with ‘good’ words compared to fresh food images. This effect had a large effect size (Cohen's d = 3.68), indicating a robust implicit bias favouring fresh foods over frozen options.")
Surprise surprise:
“AI models miss disease in Black and female patients
Analysis of chest x-rays underscores need for monitoring artificial intelligence tools for bias, experts say”
https://www.science.org/content/article/ai-models-miss-disease-black-female-patients
Liberated from Paywall: https://archive.is/jEcbH
Ugandan Employee Sues UK Company for $15M Over Somalia Abandonment and Bias Claims #CentralAfrica #EastAfrica #Somalia #WestAfrica #15M #abandonment #Bias #claims #company #Employee #Somalia #sues #Ugandan
https://tinyurl.com/2bxdnug2
Reuters, AP Crews Absent From Rare Anti-Hamas Protest in Gaza
Tuesday (March 25), when hundreds of Gazans took to the streets in what appeared to be the largest protest against Hamas since its attack on Israel, Reuters and AP crews were absent — more potential proof that these so-called “journalists” are beholden to or cooperating with the terror group.
Published at #IRRJ: "On the challenges of studying bias in Recommender Systems: The effect of data characteristics and algorithm configuration" by Savvina Daniil, Manel Slokom, Mirjam Cuper, Cynthia Liem, Jacco van Ossenbruggen, and Laura Hollink. #RecSys #Bias #DataSynthesis #Reproducibility
Kulinski's fashion choices are appalling.
but his political takes are accurate and succinct. He swears a lot. but his analysis is sharp and exactly right.
Leading AI tools demonstrate ‘concerning’ bias against Israel and Jews, new ADL study finds
Llama, Meta’s large language model, showed the most ‘pronounced’ bias among GPT, Claude and Gemini
Nope! Not surprised at all!
Lest we forget:
As historian AJP Taylor wryly remarked, the BBC’s first Director General [Baron John] Reith had
"managed to preserve the technical independence of the BBC by suppressing news which the government did not want published. This set a pattern for the future: the vaunted independence of the BBC was secure so long as it was NOT exercised."
Not so @BBC5Live
@BBCRadio4?
In this blog post, Manjusha Kuruppath examines the several forms of bias that a researcher encounters in the written archive.
Read it here! 
Americans have drowned in a sea of right wing propaganda.
Maggie Haberman has been sanewashing everything the orange fascist does and says for a decade.
One day she accidentally reports a truth that he wanted kept secret and he turns on her in a heartbeat.
