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Description

Safeguard Your Social Media Reputation: Comment Bounce serves as your protective barrier on social media, automatically sifting through comments to eliminate negativity and spam. It swiftly detects harmful comments or those that mimic spam, preventing them from tarnishing your content and hindering constructive engagement. Have you ever noticed how a spam link on your advertisement can deter potential interactions? When users perceive your entire post as "spammy," they are far less inclined to engage. Similarly, if someone posts a negative remark about your product in your ads, it can significantly reduce engagement not only with that ad but also with your entire brand. Consider the hours spent manually removing or hiding unwelcomed comments from your ads or posts on your business accounts due to their negativity. You likely spend more time on this task than you should. Do you understand the importance of this issue? Protect your brand's integrity today and foster a more positive online presence!

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

Screenshots View All

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Screenshots View All

Integrations

Facebook

Integrations

Facebook

Pricing Details

$10 per month
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

Comment Bounce

Founded

2024

Country

United States

Website

www.commentbounce.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

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

Alternatives

Alternatives

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