ArgumentativeEssay

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Introduction
... Online reviews are divided into reviews where direct sales and reservations are related, sites that collect only reviews, and consumer reviews on social media such as blogs (Kim 3). Online reviews seem to be easily accessed; however, as astronomical amounts of data can be obtained through online space, false review problems assume more serious aspects along with Internet’s strengths. Therefore, we need to question the reliability of online reviews instead of unconditionally accepting them. ...

본문 - 문제상황 제시
... Additionally, not only consumers but store owners are damaged by false or malicious reviews. For instance, the use of food delivery apps increased in Korea due to COVID-19. Many reviews were written about restaurants, but among them, some of those reviews included exaggeration and false information, which was written intently for adverse results to the store. Some customers remarked that the store offered spoiled food and raised sanitary problems at review, which turned out to be false (Yang). ...

본문 - 해결방법 제시
... To suggest a specific solution to regulate false reviews, I think a system that filters out reviews written by AI should be widely applied, along with photo or card history authentication. Recently, Naver set up a keyword review system called My Place Review reorganizing its star-rating review system since October 2021 (Naver My Place Blog). A keyword-oriented descriptive review system is introduced rather than a number-oriented evaluation rating 1 to 5 stars. ...

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