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a tweet by a user (drewcoffman) includes screenshots of multiple fake amazon reviews written by generative ai. the screenshots highlight that the scammer used tools like chatgpt to write fake reviews about a waist trimmer, a book for fifth graders, an aquarium light, and a cookbook. another user (juokaz) spotted a fake review on optima batteries. as mentioned, all the reviews start with the text, "as an ai language model," which clearly indicates the scammer used generative ai to write the user review. meanwhile, problems with generative ai are not just limited to fake reviews, and cybersecurity experts fear that scammers are using chatgpt and other tools to create malware. some tech entrepreneurs, including elon musk, have warned against the wide adoption of generative ai tools. others, including google ceo sundar pichai and microsoft ceo satya nadella, believe that generative ai is going to be a part of society, and users and stakeholders must identify problems at an early stage only.
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"you're going to go there and maybe you'll stay longer to watch 'lord of the rings,' because on prime you can't escape the 'lord of the rings' advertising," she said. "then, that puts amazon in a higher brand category in terms of relevance to your life and it takes on a bigger role in consumers' value perception." the nfl's had its own reasons to take a chance on amazon. for one, "thursday night football" has long been in search of a permanent home, having been on numerous networks - including cbs, nbc, and fox - in less than 10 years.
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product features: for example, product decriptions and sales ranks opinion spam: opinion spamming refers to "illegal" activities (e.g., writing fake reviews) that try to deliberately mislead readers or automated opinion mining and sentiment analysis systems by giving undeserving positive opinions to some target entities in order to promote the entities and/or by giving false negative opinions to some other entities in order to damage their reputation. opinion spam comes in many forms, e.g., fake reviews (also called bogus reviews), fake comments, fake blogs, fake social network postings, deceptions, and deceptive messages. manually spotting such postings is very hard, but there are several pages on the web (see below) which tell people how to spot fake reviews and deceptive messages. to the best of our knowledge, our group was the first in academia to conduct the research to detect fake reviews and reviewers. our first paper was published in 2007, and subsequent papers were published in 2008 and 2010. my textbook web data mining also has a section in chapter 11 discussing the issue (springer, second edition, july 2011; first edition, dec, 2006). the objective of our current project is to detect fake reviews. we have not worked on detecting other forms of spam opinions.
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however, many of the posts identified as misinformation do not violate facebook rules, the spokesman added, without providing any details. an investigation has found 430 pages รขยย followed by 45 million people รขยย using facebook's tools, including virtual "shops" and fan subscriptions, while spreading false information about covid-19 or vaccinations.
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efficient," karp says. "our budget for staff was always going to be small, and so we've amazon review on the site. "we're just trying to build a website that people like, and
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