Can AI equalize political campaign ads - or will it remain a tool for spreading lies? F rom the comfort of his bed, Jonathan Rinaldi, a political candidate for a city council seat in Queens, New York, tinkered away on his iPhone, prompting an artificial intelligence chatbot to mock up fake news hits and endorsements he had never received. During the campaign last October, Rinaldi shared one of those stories, made to appear real with a CNN logo, on his Facebook and Instagram. It stated that Lynn Schulman, his opponent and an incumbent Democrat, had been "forced to drop out of the race due to a series of critical mistakes". But Schulman had not quit her campaign, and in November, won by a landslide.

Furthermore, weprovethat, under mild assumptions, a slight variation of WQL enjoys desirable theoretical properties in the tabular setting.

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Inthis paper,we provide ageneralization error bound applicable for graph embedding both in linear and hyperbolic spaces under various negative sampling settings that appear in graph embedding.