mirror of
https://github.com/AJaySi/ALwrity.git
synced 2026-04-25 08:55:58 +03:00
[GH-ISSUE #241] ALwrity AI Hallucination Detector with Exa.ai #161
Labels
No labels
AI Content Agents
AI Content Strategy
AI Content planning
AI Marketing Tools
AI SEO
AI personalization
AI writer
ALwrity Copi-lot
Alwrity web search
Anthropic
DeepSeek
Gemini AI
Integration
LLM
OnBoarding
OnBoarding
RAG knowledgebase Memory
bug
documentation
enhancement
good first issue
help wanted
invalid
openai
pull-request
No milestone
No project
No assignees
1 participant
Notifications
Due date
No due date set.
Dependencies
No dependencies set.
Reference
starred/ALwrity#161
Loading…
Add table
Add a link
Reference in a new issue
No description provided.
Delete branch "%!s()"
Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?
Originally created by @AJaySi on GitHub (Sep 7, 2025).
Original GitHub issue: https://github.com/AJaySi/ALwrity/issues/241
Originally assigned to: @AJaySi on GitHub.
https://github.com/AJaySi/ALwrity/pull/240
@AJaySi commented on GitHub (Sep 7, 2025):
@DikshaDisciplines
LinkedIn Fact Check Feature - User Guide
Overview
The LinkedIn Fact Check feature is an AI-powered tool that helps you verify the accuracy of factual claims in your LinkedIn posts before publishing. This feature uses advanced artificial intelligence and real-time web search to analyze your content and provide confidence scores for each verifiable claim.
Why Use Fact Check?
How to Use the Fact Check Feature
Step 1: Generate or Write Your LinkedIn Post
Step 2: Select Text for Fact Checking
Examples of good text to fact-check:
Step 3: Access the Fact Check Menu
Step 4: Start the Fact Check Process
Step 5: Review the Results
The fact-check results will appear in a comprehensive modal with the following sections:
Summary Section
Key Insights
Detailed Claims Analysis
Each claim is analyzed individually with:
Claim Header:
Analysis Details:
Source Information:
Understanding the Results
Confidence Scores
Assessment Types
✅ Supported
❌ Refuted
⚠️ Insufficient Information
Best Practices
What to Fact-Check
What NOT to Fact-Check
Tips for Better Results
Interpreting Source Information
Source Quality Indicators
Using Source Excerpts
Troubleshooting
Common Issues
Menu Doesn't Appear
"No Verifiable Claims Found"
Low Confidence Scores
"Error During Verification"
Getting Help
Privacy and Security
Data Handling
Source Links
Limitations
What Fact Check Cannot Do
Accuracy Considerations
Examples
Good Example: Verifiable Claim
Selected Text: "The global AI market is projected to reach $1.8 trillion by 2030"
Result: ✅ Supported (90% confidence)
Poor Example: Opinion Statement
Selected Text: "Our AI solution is the most innovative in the market"
Result: ⚠️ Insufficient Information (30% confidence)
Conclusion
The LinkedIn Fact Check feature is a powerful tool for maintaining credibility and accuracy in your professional content. By following these guidelines and best practices, you can ensure your LinkedIn posts are well-researched, trustworthy, and professional.
Remember: Fact-checking is a tool to enhance your content quality, not a replacement for good judgment and professional responsibility. Always use the results as guidance while maintaining your own critical thinking about the information you share.
For technical support or questions about this feature, please contact our support team.