Aydın Tiryaki (2026)

Recently, I came across a post on Facebook recounting the struggles of great geniuses like Beethoven and Dostoevsky. The text, in an attempt to move readers, completely disregarded historical facts. For instance, the dramatic medical details regarding Beethoven’s family were merely urban legends invented for the sake of a “compelling story.”

Today, a meticulous user can copy such posts and ask an AI to verify their accuracy. However, this “multi-step” process is a form of manual labor that takes time. Furthermore, since millions of users do not go through this trouble, misinformation continues to spread unchecked. Here is my proposal: An “Information Assistant Protocol” that allows verified information to appear directly on the user’s screen before they even leave the post.

1. Transitioning from Manual Verification to “Instant Overlay”

In the current system, reaching the truth requires leaving the app, copying text, and consulting another tool. The proposed model eliminates this burden:

• Seamless Access: The moment a user sees a post, they also see an information note provided by their chosen AI right beneath it.
• The Green Checkmark: A small green checkmark is added next to verified information, establishing trust within seconds.
• Resource Efficiency: Once the AI verifies a widespread lie for one user, it stores the result in its memory. It then delivers this result instantly to millions of others seeing the same post, without generating new processing load.

2. Technical Infrastructure: The “Secure Gateway”

For this system to work, social media giants (Meta, X, WhatsApp, etc.) must open a secure software “gateway” for third-party AIs.

• Freedom of Choice: Users choose which AI (Gemini, ChatGPT, Grok, etc.) will accompany them, rather than being confined to the platform’s own algorithm.
• Limited Authority and Privacy: The AI cannot access the user’s private information; it only analyzes incoming messages as permitted by the user. The audit happens instantly within the interface.

3. Role Distribution by Application

A. Social Media and News Portals (FB, Instagram, X)

To break the cycle of disinformation, such as the years-long “Münir Özkul has passed away” rumors:

• Clickbait Hunting: An “Honest Headline” summarizing the actual content is added right below misleading titles.
• Troll and Misinformation Labels: For baseless claims, a note stating “Not verified by official sources” appears within seconds.
• Visual Audit: A warning label is overlaid directly onto deepfakes or misleading images/videos.

B. Personal Messaging (WhatsApp, Messenger)

• Instant Fact-Checking: When scientifically baseless texts arrive (e.g., “Lemon peel cures cancer”), the AI immediately adds a warning. Communication is not blocked; an information layer is simply added.

C. Email Services (Gmail, Outlook)

• Phishing Shield: It detects fraudulent bank or institutional emails through style and logic analysis.
• Language Simplification: It translates complex official correspondence into plain language that everyone can understand.

4. Democratic Oversight: The Right to Appeal and Feedback

The fact that AI can also err (hallucinate) must not be ignored.

• Error Reporting: If a user disagrees with the AI’s warning, they can appeal via a “Report Error” option and provide their own evidence.
• Two-Way Auditing: This mechanism transforms the system from a one-sided information dictate into a democratic structure where the user also educates the system.

5. Social Contribution: Source and Troll Monitoring

The AI monitors not just the content, but the source, providing feedback to the platforms:

• Systemic Deception Analysis: Sites that consistently use clickbait or troll accounts that coordinate the spread of fake news are identified by the AI.
• Platform Cleanliness Reports: Through the secure gateway, the AI reports these fraudulent structures to the platform management. Thus, platforms gain independent audit data to dry up the sources of disinformation.

Conclusion: A Voluntary Trust Economy

This system is not a mandate but a “race for trust.” Platforms that do not provide this “secure gateway” to their users will lose credibility over time. Users will start saying, “I will not stay on a platform that prevents my Assistant from protecting me,” and companies will eventually join this system due to market pressure. This proposed model positions AI not as an authority, but as a “digital lens” protecting the individual’s own reality.

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A Note on Methods and Tools: All observations, ideas, and solution proposals in this study are the author’s own. AI was utilized as an information source for researching and compiling relevant topics strictly based on the author’s inquiries, requests, and directions; additionally, it provided writing assistance during the drafting process. (The research-based compilation and English writing process of this text were supported by AI as a specialized assistant.)