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Description
AuraWatcher is an AI-driven tool designed to monitor reputations by analyzing the comment sections of public social media profiles, currently focusing on TikTok, to identify potential reputation threats before they escalate. Rather than relying solely on keyword matching, its advanced language model comprehensively understands nuances like sarcasm, irony, and slang, categorizing comments into various threat types such as harassment, legal risks, boycott calls, and physical threats, while assigning severity scores ranging from 1 to 100 based on severity, reach, and speed of propagation. The tool also features surge detection to identify coordinated attacks and distinguishes between new hostility and older comments that have resurfaced. Users can easily add any public profile using the handle without needing to log in or provide passwords, and the tool checks recent posts at specified intervals, focusing on the most prominent comments. When the monitored activity surpasses user-defined thresholds, alerts are sent via email, browser notifications, or Telegram, complete with easy-to-understand summaries. Additionally, a user-friendly dashboard provides insights into trends, active alerts, resolution times, and the status of each profile being monitored. For agencies and enterprise users, upgraded tiers offer enhanced features like multi-profile management, team collaboration tools, and the ability to integrate with custom systems, ensuring comprehensive reputation oversight across a broader range of profiles. This multifaceted approach empowers users to stay ahead of potential reputation issues effectively.
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
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Pricing Details
$49/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
AuraWatcher
Founded
2026
Country
Poland
Website
aurawatcher.com
Vendor Details
Company Name
Perspective
Website
www.perspectiveapi.com
Product Features
Reputation Management
Campaign Management
Gamification
Response Management
Review Generation
Review Monitoring
Sentiment Analysis
Social Media Metrics
Social Media Monitoring
White Label
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
