Question at position 34 What do social media companies claim?they can predict mood shifts among teenagersthey can predict mood swings in baseball playersthey can predict mood shifts in parents of transgender youththey can predict mood swings among domestic pets such as dogthey can predict SAT scores of teenagers

Question

BlackTom AI · Accepted Answer

The question asks us to evaluate what social media companies claim they can predict, and we have five options to consider.
Option 1: 'they can predict mood shifts among teenagers' — This aligns with public claims by some social media analytics discussions that platforms can analyze user data to infer mood or emotional states in teen users. The reasoning here is that mood shifts in a specific demographic (teens) are a plausible target for mood-related analytics given high engagement and a lot of textual and behavioral signals, even though the accuracy and ethics are contested.
Option 2: 'they can predict mood swings in baseball players' — While mood and performance analytics exist in sports, this option generalizes a claim about predicting mood swings in a professional athlete group. Social media companies typically frame predictions around their own user base rather than a specialized sports cohort, making this claim less aligned with their typical publicly stated capabilities.
Option 3: 'they can predict mood shifts in parents of transgender youth' — This is a highly specific and sensitive demographic. Public claims by social media firms rarely center on such narrowly defined parental groups, and this option risks conflating targeted external analytics with platform-intended user analytics. This makes the claim less plausible as a general statement they make.
Option 4: 'they can predict mood swings among domestic pets such as dog' — Inferring mood in animals is another domain (often studied in veterinary science and behavior), but social media companies typically focus on human user data rather than animal mood assessment, so this option does not fit their common messaging.
Option 5: 'they can predict SAT scores of teenagers' — Predicting standardized test scores from social media data would require inferences about cognitive ability and schooling, which is not a standard claim social platforms present. Additionally, SAT scores are a structured outcome not primarily derived from general mood analytics, making this claim unlikely in their stated capabilities.
In evaluating the options, the one that most plausibly reflects a claim that social media companies articulate about their analytic focus—centered on human mood states within a user base—appears to be the first option, while the others describe targets or outcomes that are not typically framed as platform capabilities or are outside the common scope of their stated analytics.

查看解析

登录即可查看完整答案

类似问题

Companies can find out a lot about customers by listening to (and monitoring) what they say on their social networks, blogs, review sites, and so on. One technique that firms use to monitor such activity is called

NRC lexicon maps emotions but not sentiment:

VADER lexicon can analyze acronyms and initializations:

Lexicons differ in (select one best answer):

Lexicon in opinion mining and sentiment analysis is defined as (select one best answer):

The unsupervised machine learning approach to sentiment analysis is based on:

更多留学生实用工具

考试浏览器助手

风格化写作助手

论文查重助手

文献引用助手

课堂转译助手

课堂笔记助手

Quiz搜索助手

学校历年真题

智能刷题助手

智能匹配练习

希望你的学习变得更简单