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Description
Developing customer care marketing messages that promote a bias-free workplace is essential. Dost identifies toxic language, microaggressions, and unconscious bias in various forms of communication, including text, images, and videos, encouraging users to adjust their messaging accordingly. We have curated a range of resources designed to support you in managing change, enhancing communication, and effectively implementing Dost. This presentation outlines a comprehensive strategy for rolling out Dost, detailing the necessary steps for a successful launch within your organization. It serves as a practical guide for change leaders, offering clear directions on how to effectively introduce Dost to your workplace. Inside this document, you will find all the essential data required to advocate for the adoption of Dost among stakeholders and employees alike. Powered by advanced AI models, Dost specializes in identifying noninclusive language, which is defined based on established research criteria tailored for workplace communication. By utilizing insights gathered from both primary and secondary research, we ensure our AI models are equipped to foster a more inclusive environment. Ultimately, embracing tools like Dost can significantly enhance workplace dynamics and promote a culture of respect and understanding.
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.
API Access
Has API
API Access
Has API
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
Krita.ai
Founded
2020
Country
United States
Website
krita.ai/dost/
Vendor Details
Company Name
Perspective
Website
www.perspectiveapi.com
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
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