Table of contents
Toxicity Detection
Perspective is designed to detect toxic language in online conversations, helping to foster healthier discussions by identifying and flagging abusive or harmful comments.
Scalability
Perspective's API can be integrated into various platforms such as social media, forums, and comment sections, allowing for large-scale implementation and monitoring.
Customizability
The API offers adjustable thresholds for determining what constitutes toxicity, allowing developers to tailor it to their specific community standards and needs.
Multi-language Support
Perspective supports multiple languages, which broadens its applicability and usability in diverse global communities.
Continuous Learning
The API benefits from continuous model updates and improvements based on user feedback and new data, making it progressively better at identifying toxic remarks.
Perspective API is considered a valuable tool for its intended purpose, particularly in settings where managing large volumes of user-generated content is necessary. However, like any automated system, it still faces challenges such as false positives/negatives, cultural context recognition, and language nuances. Overall, it is a good choice for enhancing moderation capabilities.
We have collected here some useful links to help you find out if Perspective is good.
Check the traffic stats of Perspective on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Perspective on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Perspective's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Perspective on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Perspective on Reddit. This can help you find out how popualr the product is and what people think about it.
Important framing note for the labeling pass: toxic labels in mod-tool training are typically defined by the channel's own moderation rules, not a universal taxonomy. What a family-friendly channel flags as toxic differs from a gaming-focused one. Build your label schema per-channel or use a community standard like Perspective API categories for initial seeding. - Source: dev.to / about 1 month ago
Analyzes text for toxicity, threats, obscenity, insults, and more https://perspectiveapi.com. - Source: dev.to / 11 months ago
Even the developer blog over at PerspectiveAPI link seems pretty light on details beyond things like flags for obscenity and sexually explicit content. Source: over 2 years ago
Here it is, with a big โHOW IT WORKSโ on the front page if youโre into that sort of thing. Source: over 2 years 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: almost 3 years 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: almost 3 years ago
Disqus is a large public engagement platform which hosts millions of comments per month. Theyโve been developing their own technologies to better handle problematic content and help their users moderate. They also leverage Jigsawโs Perspective API, which paved the way for ModerateHateSpeech. Source: about 3 years ago
Your own AI, unless you're using an off-the-shelf API like ChatGPT or Perspective. - Source: dev.to / about 3 years ago
Automated Adversarial Testing. Large Language Models use the Perspective API to detect toxicity in their models. - Source: dev.to / about 3 years 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 / over 3 years 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 3 years ago
Https://perspectiveapi.com/ is a good example and one of my favorite sites ever. Source: over 3 years 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 3 years ago
Sounds like they used this or something similar https://perspectiveapi.com/. Source: over 3 years ago
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Is Perspective good? This is an informative page that will help you find out. Moreover, you can review and discuss Perspective here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
