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      考研英语水平的进步，不仅要记单词，还需要阅读外语文献等资料。接下来，小编为2024考研者们，整理出——2024考研英语同源外刊9月:算法破坏了学习方式，供考生参考。

2024考研英语同源外刊9月:算法破坏了学习方式

People’s daily interactions with online algorithms affect how they learn from others, with negative consequences including social misperceptions, conflict and the spread of misinformation, my colleagues and I have found. People are increasingly interacting with others in social media environments where algorithms control the flow of social information they see. Algorithms determine in part which messages, which people and which ideas social media users see.

我的同事和我发现，人们与算法的互动方式影响着他们向他人学习的方式，带来了负面后果，包括社会误解、矛盾、错误信息的散播。人们越来越多地在社交媒体环境中与他人互动，而这是一个由算法控制人们能看到什么社交信息流的世界。算法在一定程度上决定了社交媒体用户会看到哪些信息、哪些人以及哪些想法。

On social media platforms, algorithms are mainly designed to amplify information that sustains engagement, meaning they keep people clicking on content and coming back to the platforms. I’m a social psychologist, and my colleagues and I have found evidence suggesting that a side effect of this design is that algorithms amplify information people are strongly biased to learn from. We call this information “PRIME,” for prestigious, in-group, moral and emotional information.

社交媒体平台上，算法的主要目的是放大那些可以让人们保持使用度的信息，意味着它们会让人们不断点击内容，再重新回到平台上。我是一名社会心理学家，我和我的同事发现有证据表明，这种设计的一个副作用是算法放大了人们存在强烈倾向性选择了解的信息。我们称这些信息为“PRIME”，即声望、内群体、道德和情绪信息。

In our evolutionary past, biases to learn from PRIME information were very advantageous: Learning from prestigious individuals is efficient because these people are successful and their behavior can be copied. Paying attention to people who violate moral norms is important because sanctioning them helps the community maintain cooperation.

在我们过去的进化过程中，从PRIME信息中偏向性地学习是非常有利的:向有声望的人学习是有效的，因为这些人是成功的，他们的行为可以被复制。关注那些违反道德准则的人很重要，因为制裁他们有助于让社区保持合作。

But what happens when PRIME information becomes amplified by algorithms and some people exploit algorithm amplification to promote themselves? Prestige becomes a poor signal of success because people can fake prestige on social media. Newsfeeds become oversaturated with negative and moral information so that there is conflict rather than cooperation.

但是，当PRIME信息被算法放大，一些人利用算法放大来推销自己时，会发生什么呢?声望成为成功的一个不良信号，因为人们会在社交媒体上伪造声望。新闻信息流中充斥着负面和道德信息，因此出现的是冲突而不是合作。

The interaction of human psychology and algorithm amplification leads to dysfunction because social learning supports cooperation and problem-solving, but social media algorithms are designed to increase engagement. We call this mismatch functional misalignment.

我们称这种不匹配为功能性错位。

 

单词：

1.amplify

英/ ˈæmplɪfaɪ /美/ ˈæmplɪfaɪ /

v.放大，扩大(声音);增强，加强;详述，进一步阐明;扩增(基因，DNA序列)

2.engagement

英/ ɪnˈɡeɪdʒmənt /美/ ɪnˈɡeɪdʒmənt /

n.婚约，订婚;约会，约定;交战，战斗;演出任务;聘用，雇用;参加，从事;(与……的)密切关系，(对……的)了解;啮合;(与……的)密切关系，(对……的)了解

3.come back to

返回到

4.prestigious

英/ preˈstɪdʒəs /美/ preˈstiːdʒəs /

adj.有威望的，有声望的

      综上是“2024考研英语同源外刊9月:算法破坏了学习方式”，希望对备战2024考研考生们有所帮助!让我们乘风破浪，终抵彼岸，考研加油!

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