高中英语阅读理解CD篇心理机制类说明文

中小学教育资源及组卷应用平台 高考英语阅读CD篇：心理机制说明文深度阅读 Ⅰ心理机制说明文命题特征 Ⅱ心理机制说明文深度阅读之语篇结构 此类说明文的语篇结构一般为：现象/问题 → 研究/分析 → 结论/启示 2026浙江首考C篇结构 Human beings have always loved reviews: word of mouth has long been regarded as one of the most valuable marketing tools available to a company. Consumers enjoy reading and giving reviews. However, the problem is that a lot of the reviews are fake (假的). Shabnam Azimi and Alexander Krasnikov of Loyola University of Chicago and Kwong Chan of Northeastern University recently published a study on fake reviews. The study used a data set of 1,600 reviews of Chicago hotels. Some of them were real; others were fake. The reviews were presented to 400 subjects. Each subject got eight reviews to read: a balanced set of two positive fake, two positive real, two negative fake and two negative real, presented in a random order. The reviews were written by real people who were given information about the hotel. The results show that consumers generally trust negative reviews more than positive ones. Moreover, we humans tend to assume that positive reviews might be fake. “Overall, negative reviews are less common. So, we pay more attention to them. When a negative review is fake, we get tricked,” Azimi says. When it came to faking a review, length was important to believability, as was detail. A long negative review of a hotel complete with lots of information, tended to convince participants. A lengthy, positive review, on the other hand, was regarded as suspicious, and participants tended to trust writers that kept their glowing reviews short. Emotion was also important in convincing readers—or the lack of emotion, at least. Azimi says study participants tended not to trust reviews where the writers expressed their feelings in a big way. The more dispassionate that negative write-up, the more likely it was to take the reader in. The fake reviews written for Azimi's study were put together by humans, but increasingly, fake reviews are being written by AI, which makes them look more real. Though many companies use algorithms (算法) to weed out fake reviews, Azimi points out that the machines are programmed by humans, and given our limited ability to spot fake reviews, this isn't a good sign. 28. Which aspect of the study does paragraph 2 mainly talk about Its design. B. Its findings. C. Its purposes. D. Its significance. 答案：A.根据语篇结构可知，第二段主要讲述研究设计。 2025浙江首考D篇结构 As new technologies take on increasingly humanlike qualities, there’s been a push to make them genderless. “People are stereotyping (形成刻板印象) their gendered objects in very traditional ways,” says Ashley Martin, a Stanford associate professor of organizational behavior. Removing gender from the picture altogether seems like a simple way to fix this. Yet as Martin has found in her work, gender is one of the fundamental ways people form connections with o ... ...