This approach requires sourcing and maintaining accurate information, which means you can't fabricate numbers or exaggerate metrics. AI models increasingly cross-reference claims across sources, and inconsistencies damage credibility. The data you include must be truthful and, where relevant, attributed to primary sources. But when you consistently provide specific, accurate information, you build a reputation as a reliable source that AI models return to repeatedly.
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At the heart of the issue is there is fundamentally no tool that can verify a user’s age without inherently violating a user’s privacy. Any accurate models require extremely invasive measures like biometrics or government IDs—and the IDs are something that even social media companies are hesitant to request because of the ID gap in which 15 million Americans lack any identification, an issue that disproportionally affects Black and Hispanic adults, immigrants, and those with disabilities.，这一点在WPS下载最新地址中也有详细论述
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