Even the developer blog over at PerspectiveAPI link seems pretty light on details beyond things like flags for obscenity and sexually explicit content. Source: 5 months ago
Here it is, with a big ‘HOW IT WORKS’ on the front page if you’re into that sort of thing. Source: 5 months ago
To get to the heart of what sets tankies apart, we embarked on an in-depth comparison with other far-left online communities (depicted with a light red in Fig. 2 and 3). We used a range of tools to analyse the topics they discuss and the names they mention, and study their lexical choices by examining the word alignments of tankies with other far-left communities. Subsequently, we assess the toxicity of their... Source: 7 months ago
Prior to shipping our first LLM, we trained two smaller models tested offline for this exact use case. The first was a Logistic Regression model which performed relatively well on a training set containing ~120k labels. The second model was a Gradient Boosted Tree (GBT) model which outperformed the Logistic Regression model on the same training set. The tradeoff was speed both in training and inference time as the... Source: 8 months ago
Disqus is a large public engagement platform which hosts millions of comments per month. They’ve been developing their own technologies to better handle problematic content and help their users moderate. They also leverage Jigsaw’s Perspective API, which paved the way for ModerateHateSpeech. Source: 11 months ago
Your own AI, unless you're using an off-the-shelf API like ChatGPT or Perspective. - Source: dev.to / 11 months ago
Automated Adversarial Testing. Large Language Models use the Perspective API to detect toxicity in their models. - Source: dev.to / 11 months ago
FYI, in conjunction with Perspective API[1], this is the list of words that authors used to determine whether a tweet is considered hateful: https://github.com/dan-hickey1/musk-hate-lexicon/blob/main/hate_keywords.txt. - Source: Hacker News / about 1 year ago
Many large papers with a comments under article model have been automoderated by an NLG API since ~2019, Reddit also took this onboard and rolled it out as a central service a few years later. It appears to have a US centric process which is why users should never discuss Mr Brain's products. Source: over 1 year ago
Https://perspectiveapi.com/ is a good example and one of my favorite sites ever. Source: over 1 year ago
I used an offsite archive service to retrieve the content of your comment, and then put it through the Zeinert classification, my own auto-parser, and for good measure dropped it through the Perspective API models for hate speech, violent threats, and toxic engagement. Source: over 1 year ago
Sounds like they used this or something similar https://perspectiveapi.com/. Source: over 1 year ago
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