In Botwatch, users publish records indicating whether they think others are bots and records indicating trust in a user’s scores. By analyzing this network, we can create useful signals to help users distinguish between bots and humans. Such a signal would consider your trust relations and output a personalized estimated bot score for a target user. There’s an example at the end of this proposal, but you don’t need to read it to know how it should work. If all the people you trust agree that someone is a bot or human, it should agree. If the people you trust have mixed opinions, perhaps the formula should be uncertain. Naturally, misplaced trust will result in inaccurate results. The hope, though, is that with sufficient scores and well-placed trust, these heuristics will correlate with the truth.
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v35:CShape[0x80008] = Const CShape(0x80008)
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The US has promised to bolster financial protection and potentially provide military escorts, and announced on Friday that it would roll out maritime reinsurance for the Persian Gulf region. The facility will cover losses up to about $20 billion “on a rolling basis”, according to a statement.
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