Description
yBully is a Chrome extension developed to combat cyberbullying directly on the Twitter platform. Its primary function is to identify and flag tweets that exhibit bullying behavior across all pages viewed within the browser. By automatically detecting these harmful messages, yBully aims to create a safer online environment for its users.
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The extension offers several key features to achieve this goal. It can visually obscure or label tweets identified as bullying, providing a less intrusive way to manage content without outright removal. More proactively, yBully can restrict users from posting further bully tweets, acting as an immediate deterrent. Users also have the ability to report tweets that have been incorrectly predicted as bullying, which is crucial for refining the AI's accuracy.
A unique aspect of yBully is its community-driven approach to improvement. By getting their reported tweets approved, users can increase their trust score. Furthermore, trusted users can directly contribute data to the model during retraining phases. This collaborative effort helps the AI learn and adapt, making its detection capabilities more robust and reliable over time. The extension also provides users with statistics to track their engagement and the impact of their contributions.
This tool is particularly beneficial for individuals who spend significant time on Twitter and wish to mitigate exposure to online harassment. It empowers users to take an active role in fostering a more positive and respectful online community. The extension's focus on detection, restriction, and user-driven improvement makes it a comprehensive solution for addressing cyberbullying on the platform.
- CategoryAI Content Moderation
- Pricing ModelFree
- DeploymentBrowser extension
- PlatformsChrome
yBully's Core Features
Detects cyberbullying tweets on Twitter across all pages.
Blurs or labels tweets identified as bullying.
Restricts users from posting bully tweets.
Allows users to report incorrectly predicted tweets.
Increases user trust score through approved reports.
Trusted users can contribute data for model retraining.
Provides users with statistics on their activity.
Version 1.1.0 updated on June 2, 2022.
How to use yBully?
Install: Add the yBully extension to your Chrome browser.
Configure: Set your preferences for tweet detection and labeling.
Detect: Browse Twitter; the extension will automatically identify bully tweets.
Manage: Choose to blur, label, or restrict users as needed.
Report: Flag any tweets that are incorrectly identified.
Contribute: Earn trust by having your reports approved.
Retrain: Trusted users can opt-in to contribute data for model updates.
Monitor: View your statistics to track usage and impact.
yBully's Use Cases
- Cyberbullying Detection
- Content Moderation
- User Restriction
- AI Model Improvement
- Personalized Safety
- Community Moderation
