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please enter your name. matthew also collects emails and sends out a newsletter promoting his books. he has a lead magnet for this in the form of a sloth-based activity book he gives away for free when people sign up.

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started an online sales business from zero, grown to $4.5m revenue in 3 yearsauthor has 456 answers and 4.5m answer viewsupdated 6y craig peckham

the dataset used took about nine months to collect, with the help of ucla undergrads who infiltrated facebook groups where fake reviews are solicited. after identifying sellers and products for which faux reviews were gathered, all reviews were then combined together. the research took about a year, employing techniques from network science, machine learning, and text and image analysis. features derived from the product-reviewer network are especially useful for detecting fake reviews because-in addition to being more predictive than text or metadata features-they are more difficult or costly to manipulate by sellers than text or review timing.