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Description
The presence of toxicity in online environments presents a significant hurdle for both platforms and content creators. This form of abuse and harassment can stifle crucial perspectives in discussions, often pushing already marginalized individuals away from participating in these conversations. To address this issue, publishers, platforms, and users can leverage the capabilities of Perspective across various applications, such as comment sections, forums, or any text-driven interactions. Developers customize and implement Perspective to cater to diverse audiences, ensuring adaptability. Moderators benefit from Perspective by efficiently prioritizing and assessing flagged comments for appropriateness. Additionally, the tool provides valuable feedback to users who engage in posting harmful remarks. Furthermore, developers can create functionalities that allow readers to filter out unwanted comments, such as the option to conceal them. Ultimately, Perspective has been found to enhance user engagement by fostering safer dialogues and empowering individuals to contribute more positively online, thereby promoting a healthier digital community overall. The ongoing challenge of online toxicity necessitates innovative solutions like Perspective to ensure that all voices can be heard without fear of harassment.
Description
A tailored neural network has been developed to efficiently triage reported online content. For an extended period, social media platforms have depended on users to flag abusive behavior, hate speech, and various forms of online harm. These reports are forwarded to moderation teams that assess each one on a case-by-case basis. Many platforms encounter an overwhelming number of reports daily, with a significant portion being resolved without any further action. However, reports that involve urgent matters—such as threats of suicide, violent acts, terrorism, or child exploitation—run the risk of being overlooked or not addressed promptly. This delay can lead to serious legal repercussions as well. Under the German law known as NetzDG, social media platforms are obligated to eliminate reported hate speech and unlawful content within a 24-hour timeframe, or they could incur fines reaching up to 50 million euros. As similar regulations regarding reported content are emerging in countries like France, Australia, and the UK, the need for effective moderation techniques is becoming increasingly critical. With Two Hat’s Predictive Moderation product, platforms have the capability to develop a specialized AI model that learns from the consistent decisions made by their moderation teams, thereby improving response times and accuracy in handling urgent reports. This innovation not only enhances user safety but also helps platforms navigate the complex landscape of legal compliance effectively.
API Access
Has API
API Access
Has API
Integrations
Jigsaw
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Perspective
Website
www.perspectiveapi.com
Vendor Details
Company Name
Two Hat
Founded
2012
Country
Canada
Website
www.twohat.com/predictive-moderation-template/
Product Features
Content Moderation
Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
Product Features
Content Moderation
Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation