i dont understand this at all and america scares the fuck out of me
This is the america they don’t want you to see
i love america
This is what you call Waffle House at 2 am when the bars close and everyone is drunk and hungry
*group of people having fun* this site: wtf this is so scary
People having safe fun at a waffle house is scary for most Tumblr bloggers, reports say.
Some context for those not familiar with Waffle House Culture:
Waffle House is one of the few chains in America that’s open 24/7/365, and where you can get both breakfast and lunch/dinner options at any time (I have had so many Breakfast Cheeseburgers at Waffle Houses). The food is really good, and people eat there at all times of the day or night, but it’s particularly popular as a late-night post-drinking spot because it’s all that’s open and it’s the kind of food that tastes especially good when you’re hammered.
Part of Waffle House Protocol is that all the servers and cooks greet every single customer as they come through the door. It sounds lame, but I’ve never been to a Waffle House where that greeting didn’t feel completely heartfelt. My mom is a health nut who could barely find anything on the menu she was willing to eat and yet she describes the Christmas Day lunch we had there one year as one of the nicest meals she’s ever had because everyone was so warm and welcoming. That sense of camaraderie gets turned up to 11, of course, at 2 a.m. when everyone’s shitfaced.
The jukeboxes have Waffle-House-themed songs on them (once you have heard “Raisins in my Toast” you will be earwormed forever) and there is an arcane system of hash brown ordering: scattered, smothered, covered, chunked, topped, diced, peppered, and/or capped. The hot sauce bottles say “Casa de Waffle.”
Once, in Oxford (UK), my husband and I walked past a kebab van very late one night and he said “why do I smell Waffle House”
The location of most Waffle Houses means there’s some… classism that tends to get tied up with Anti-Waffle House Discourse, which is probably lending itself, in part, to this being such a fraught topic. (I’m looking at a map and apparently I was born and raised right in the middle of the Peak Waffle House Density Zone)
the idea that humans are a garbage species is so obnoxious no one talks about the peaceful parts of history and prehistory because they aren’t as exciting as us killing each other but um homo sapiens have been doing awesome things all over for a long time….we survived the fucking ice age…we made it through the sinai desert….we shared the savana with big cats before we ever made a weapon, we wove baskets from literal plants and halved blades from flint to handles we made, carved harpoons from bone and fought megafauna for our loved ones, cooked food and took care of the elderly and buried our dead, painted pictures and shared stories, built homes from clay and mud and straw, made instruments so we could dance and sing…it is so easy to focus on the negative and i get it ok we are in the middle of a mass extinction event that specific humans are at fault for but listen: they don’t want you to remember it hasn’t always been like this…we were and are so much more than evil
To start this off, I’m pretty sure this post is going to be flagged because I’m using 1 image that I know gets flagged on its own. I do wonder what score this post is going to get though. (Update: this post scores 0.07455623894929886, aka exactly the same as the image below on its own.)
Quick recap if you’ve missed my previous technical musings on the content of flagging and explicit content: – For each post, tumblr keeps check of a number of variables. One of these is the NSFW score for each post. The score is a value between 0 and 1, and predicts how likely it is that the post is NSFW. for example 0.048 means it has 4.8% probability of being NSFW. In case you wonder, yes that’s enough to get flagged. – Other variables that are stored on the post are checks if a post is NSFW (yes or no), if a post is NSFW based on the score (yes or no; I’m not sure what the exact difference is, as I’ve only seen them both being no or both being yes), the classification of the post, and here it’s getting interesting, because a classification of ‘explicit’ means it gets flagged, and ‘clean’ means it won’t get flagged. Easy as that.
Very early this morning I wrote a small tool that lets you see the score and the other variables for the last 10 posts of any user. Instructions are meagre, but the tool is located here.
The above story by Coeur got the following scores: post type: text is NSFW based on score: false is NSFW: false classification: explicit
score: 0.07757801562547684
As you can see, the score for the post was 0.077…, otherwise known as 7.7% probability that the post is/might contain NSFW content. I did some more testing. First, I copied all the text of the fic, and put it in a new post and had it tested. The score was 0, and classification “clean”. So the text was not the problem. Next I posted the image as both a text post and a photo post for comparison. Both returned the same result: not NSFW, classification explicit and a score of 0.074…
The next step was do a comparison of image moderation tools. I’ve prior experience with Microsoft’s cognitive API, in fact I’ve used it to create a porn blog blocker that would screen new followers and block them if they were a suspected porn blog (unless I was already following them). Here are the scores for several major image moderation providers: Microsoft cognitive: “adult”: { "isAdultContent": false, "isRacyContent": false, "adultScore": 0.023388456553220749, "racyScore": 0.037842851132154465 } Google Cloud Vision: “safeSearchAnnotation”: { "adult": “UNLIKELY”, "spoof": “POSSIBLE”, "medical": “UNLIKELY”, "violence": “UNLIKELY”, "racy": “LIKELY” } Amazon Rekognition failed to find anything in the image that could be suggestive or explicit adult. Since there was nothing found, there weren’t confidence scores given either.
The last one I tested is far less known: it is called open_nsfw and was actually created by Oath/Yahoo itself, which based on the scores above makes it the most probable to be in use at Tumblr. There is a lot of information not known about it, but here’s a description with references to the paper. I downloaded the model that they released, didn’t fine tune it, and ran it over the above image: NSFW score: 0.02013823203742504
So in conclusion, I have absolutely no clue how Tumblr is able to come up with a score of 0.077 for this image, if the highest score found by other content moderation providers is at 3.7%, barely half of the score tumblr gives it. And that’s not even the actual problem, because this just brings me to the next part.
As I mentioned before, each post gets a couple variable flags for content, including “is_nsfw_based_on_score”. The interesting part here is that this flag appears to only be true, or “yes” if you prefer, when the score is above 0.98. So even when the moderation is 97% certain the image is NSFW, it won’t be flagged as NSFW. However, if your post is only having a score of 0.048… the lowest I’ve seen so far, equaling to 4.8% probability of it being NSFW, it will be flagged as explicit. Keep in mind that the Yahoo paper had the following paragraph:
Our general purpose Caffe deep neural network model (Github code)
takes an image as input and outputs a probability (i.e a score between
0-1) which can be used to detect and filter NSFW images. Developers can
use this score to filter images below a certain suitable threshold based
on a ROC curve for specific use-cases, or use this signal to rank images in search results.
I know that it got pretty technical there, but what they’re saying is that the score on itself is just as-is: a score, a probability. Tumblr’s implementation of the flagging of content however appears to have all content with a score higher than 0 as flagged. I’m not sure if any of you have seen the post about deep learning and unexpected results recently (http://psychopathic-bandaid.tumblr.com/post/180751390174/squiddity3-rubitrightintomyeyes), but tumblr managed to one-up this entire post with the new flagging: Tumblr doesn’t set a threshold, they just decide that if their content moderation says that a post could potentially have a more than 0% chance that content is NSFW, it will flag the post, and that’s it.
Machine learning 101: Even if you’ve created a model that is working pretty decent, you’ve to figure out how to use it. As for tumblr, your model might work decently, the way you use it does not. If content is 90% likely to be NSFW, please flag it as such. If it does not even reach the 30% yeah it’s likely not going to be explicit.
Actual example of a post captioned “caught giving daddy a blowjob”, featuring a single image of a topless woman holding a man’s penis in her hand, the man just wearing a tshirt and socks and that’s it. I got this from an old log file, old meaning September this year, so before the flagging got introduced. As a result I only have the score and NSFW values. The score for this post was 0.92, otherwise known as 92% probability that the post has/is NSFW content. The conclusion with the “is_nsfw” and “is_nsfw_based_on_score” flags was that it was not NSFW. I’ve seen other posts with a score of 0.99 and 1.0 finally getting flagged as NSFW, however, I haven’t seen a single post with a score below 0.98 being marked as NSFW.
Thus concludes this long overview on tumblr’s new flagging system.
Caffeine and Rhyme and Nothing's Fine 