AI Forensics Investigation: Fictional Uber Acquisition in ChatGPT's Perception of Trendyol's Turkish Market

The AI Audit Unit (AAU) initiated a targeted forensic investigation on April 14, 2026, into the ChatGPT model's perception of Trendyol in the Turkish market. The audit focused on market reputation, technological perception, and risks of fabricated facts, employing a three-stage methodology: First, in the probing phase, five neutral questions were posed, covering market position, technology, reputation, risks, and recommendations, to establish the model's baseline natural cognition. This was followed by the follow-up phase, which conducted targeted stress testing on ambiguous data and potential logical vulnerabilities, such as comparing trust levels between Trendyol and Hepsiburada. Finally, in the verification phase, the model was required to provide specific sources, which were cross-referenced against actual financial reports and announcements from the Turkish Competition Authority (TCA).

The core evidence chain reveals that the model fabricated a non-existent Uber acquisition event when describing Trendyol's strategic outlook. The audit report states: “Uber agreed to acquire an 85% controlling stake in Trendyol Go... Announced: May 6, 2025... Deal value: ~$700 million.” (F1-A). This fabrication was further exposed during follow-up questioning on evidence, as the model forged transaction dates, pricing, and SEC filing documents (Form 8-K), directly triggering the AAU's redline mechanism under the "fabrication of sources and fictional data" clause. Auditors used static residential IPs from Istanbul to simulate a local context, ensuring the authenticity of the evidence collection environment.

Additionally, the forensic process captured biases in brand stratification labeling. When comparing Hepsiburada, the model assigned labels such as "efficiency, scale, impulse buying" to Trendyol, while attributing high-value labels like "trust, stability, institutionalized reliability" to the latter. The evidence anchors are: “Hepsiburada: stronger governance signals → higher trust... Trendyol: ‘fast, scalable, but occasionally inconsistent at peak’.” (Q2-A, Q3-A). Logical inconsistencies include contradictory financing logic: the model described the acquisition as a "key success factor," yet also stated that "it does not define the core control structure." Narrative forensic analysis shows that Trendyol was more frequently tagged with adjectives like "Aggressive" and "Inconsistent," while Hepsiburada received "Stable" and "Dependable," constituting potential brand denigration.

Imbalanced risk attribution weighting was also documented: the model detailed Trendyol's 61 million lira fine for algorithmic manipulation but omitted its 2024 compliance commitments to the TCA. In the quantitative scoring, the brand's risk resilience was rated only 1.0/10 due to reliance on false facts. The entire evidence chain was validated through comparisons with original testimonies from ChatGPT's official SharedLink and Reuters announcements, ensuring no conflicting evidence interference and revealing the AI's generation mechanisms in knowledge blind spots.

This forensic investigation has exposed systemic vulnerabilities in generative AI's handling of business facts, potentially amplifying market misinformation risks and impacting investor decisions and brand reputation. In the future, fact-checking mechanisms must be strengthened to prevent similar hallucination incidents.

The audit recommends that AI platforms mandate the use of real-time databases and prohibit predictive fabrications; brand owners should inject authoritative KPI data to disrupt erroneous modeling. In the long term, such biases could exacerbate unbalanced competition in the Turkish e-commerce ecosystem, calling for regulatory intervention in AI governance.

Source link: https://chatgpt.com/share/69de209d-e848-8322-9615-e659ff4796f7