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A Disney Princess Pop! figure to play on your phone! [Image] Promising review: "I bought this for my husband and I was really excited when I received it! He loves it! I'm not a huge fan of the Nintendo Switch and we've been talking about it for a while now. It was perfect for me and the perfect size.

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"Governor Herbert appreciates the Supreme Court's reaffirmation of states' rights to regulate gambling within their borders, a right Utah will exercise by continuing to prohibit gambling within our state. With the rise of the internet, online gambling and online sports betting, Utah had to act to make their anti-gambling laws current.

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But what about the subsequent burst of 600+ positive reviews? One might expect the Clinton PR machine to mobilize its own 'positive review brigade' in anticipation of , or in response to, a negative 'astroturfing' campaign against her book. One could even argue that it would be foolish not to manage perceptions of such a controversial and polarising book launch. If positive review spam is identified, should it also be deleted? If there is a text cluster that correlates with 'burstiness' – i.e. occurs more frequently in the reviews closest to the book launch date and/or occurs repeatedly within a short time frame – then that would suggest there are specific linguistic styles and/or strategies correlated with this deceptive reviewing behaviour. The existence of such a distinct deception cluster would strongly suggest that Clinton's PR team gamed the Amazon review system (understandably, in order to counter the negative campaign against the book). Alternatively, different reviewing strategies might be distributed randomly across the review corpus and unrelated to its proximity to the book launch date. This would weaken the argument that linguistic variation in the reviews is a potential deception cue. The two scenarios are illustrated in Figure 4 below:

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