2024年全国高考·模拟调研卷(一)1英语XN答案

2023-12-24 13:42:54 14℃

2024年全国高考·模拟调研卷(一)1英语XN答案正在持续更新，本期2024衡中同卷单元卷答案网为大家整理了相关试题及答案，供大家查缺补漏，高效提升成绩。

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DNowadays,people are increasingly interacting with others in social media environmentswhere algorithms control the flow of social information they see.People's interactions with onlinealgorithms may affect how they learn from others,with negative consequences including socialmisperceptions,conflict and the spread of misinformation.On social media platforms,algorithms are mainly designed to amplify (informationthat sustains engagement,meaning they keep people clicking on content and coming back to theplatforms.There is evidence suggesting that a side effect of this design is that algorithms amplifyinformation people are strongly biased(偏向的)to leam from.We call this information“PRIME”,for prestigious,in-group,moral and emotional information.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 theirbehavior can be copied.Paying attention to people who violate moral norms is important becausepunishing them helps the community maintain cooperation.But what happens when PRIMEinformation becomes amplified by algorithms and some people exploit (algorithmamplification to promote themselves?Prestige becomes a poor signal of success because peoplecan fake prestige on social media.News become filled with negative and moral information sothat there is conflict rather than cooperation.The interaction of human psychology and algorithm amplification leads to disfunctionbecause social learning supports cooperation and problem-solving,but social media algorithmsare designed to increase engagement.We call it functional mismatch.One of the key outcomes offunctional mismatch is that people start to form incorrect perceptions of their social world,whichoften occurs in the field of politics.Recent research suggests that when algorithms selectivelyamplify more extreme political views,people begin to think that their political in-group andout-group are more sharply divided than they really are.Such "false polarization"might be animportant source of greater political conflict.So what's next?A key question is what can be done to make algorithms facilitate accuratehuman social learning rather than exploit social learning biases.Some research team is workingon new algorithm designs that increase engagement while also punishing PRIME information.This may maintain user activity that social media platforms seek,but also make people's socialperceptions more accurate.高三英语第7页（共12页）囊糕扫描全能王创建

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