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题型:阅读理解-阅读单选 难度:0.65 引用次数:74 题号:14397261

You can tell a lot about people's general state of mind based on their social media feeds. Are they always tweeting about their biggest annoyances or posting pictures of particularly cute kitties? In a similar fashion, researchers are turning to Twitter for clues about the overall happiness of entire geographic communities.

What they're finding is that regional variation in the use of common phrases produces predictions that don't always reflect the local state of well being. But removing from their analyses just three specific terms — good, love and LOL — greatly improves the accuracy of the methods.

“We're living in a crazy COVID-19 era. And now more than ever, we're using social media to adapt to a new normal and reach out to the friends and family that we can't meet face-to-face.” Kokil Jaidka studies computational linguistics at the National University of Singapore. “But our words aren't useful just to understand what we, as individuals, think and feel. They're also useful clues about the community we live in.”

One of the simpler methods that many scientists use to analyze the data involves correlating words with positive or negative emotions. But when those records are compared with phone surveys that assess regional well-being, Jaidka says, they don't paint an accurate picture of the local zeitgeist.

Being able to get an accurate read on the mood of the population is no laughing matter.

“That's particularly important now, in the time of COVID, where we're expecting a mental health crisis and we're already seeing in survey data the largest decrease in subjective well-being in 10 years at least, if not ever.”

To find out why, Jaidka and her team analyzed billions of tweets from around the United States. And they found that among the most frequently used terms on Twitter are LOL, love and good. And they actually throw the analysis off. Why the disconnect?

“Internet language is really a different beast than regular spoken language. We've adapted words from the English vocabulary to mean different things in different situations.” says Jaidka. “Take, for example, LOL. I've tweeted the word LOL to express irony, annoyance and sometimes just pure surprise. When the methods for measuring LOL as a marker of happiness were created in the 1990s, it still meant laughing out loud.”

"There are plenty of terms that are less misleading," says Jaidka. "Our models tell us that words like excited, fun, great, opportunity, interesting, fantastic and those are better words for measuring subjective well-being."

1. The researchers turn to social media feeds to________.
A.help with the analysis of people's subjective well-being
B.locate the most-frequently used words
C.prove the disconnect between language and emotions
D.make the prediction method more effective
2. How did Jaidka know the analysis wasn't accurate?
A.It didn't reflect the mood of the entire geographic community
B.It didn't match the assessment result of the phone surveys.
C.It didn't consider the features of Internet language.
D.It didn't take the regional variations into account.
3. Which of the following statements will Jaidka most probably agree with?
A.Face-to-face communication is needed to ensure happiness.
B.Internet use is to blame for the decrease in subjective well-being.
C.Internet language should be abandoned as a source of scientific analysis.
D.Less misleading words should be used in assessing subjective well-being.

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【推荐1】About a billion birds die from flying into buildings each year in North America. Suspicions have been that birds may regard the open areas behind glass as safe passageways. Or they may mistake the reflected trees for the real thing.

Researchers would like to reduce collisions, which requires a solid understanding about what makes a bird more or less likely to die by crashing into a building in the first place.

“There was relatively little known at a broad scale. Previous studies were at one small study site.'' Jared Elmore, a graduate student in natural resource ecology and management at Oklahoma State University. So he and his colleagues used a previously created data set of building collisions for birds at 40 sites throughout Mexico, Canada and the U.S.

The first finding was obvious: bigger buildings with more glass kill more birds. But the details were more remarkable. "We found that life history predicted collisions. Migrants(候鸟), insect-eaters and woodland-inhabiting species collided more than their counterparts(同类).”

Most migratory species travel at night, when lights near buildings can distract or disorient(使迷失方向)them. And Elmore thinks that insect-eating birds might be attracted to buildings because their insect prey(猎物)is attracted to the lights. He suspects that woodland species get tooled by the reflections of trees and bushes in the windows. The results are in the journal Conservation Biology.

By understanding which birds are more likely to collide with buildings, researchers can perhaps determine the best way to adapt buildings, or their lighting, to help prevent such accidents. And by knowing risks, along with migration timing and behavior, building managers can better predict when birds are at their greatest danger - and improve lighting strategics accordingly.

Elmore's next project will use radar to help predict bird migrations. " I think that would maybe go a long way in terms of providing information to people, to the public, to building managers, on when they can get the most benefit in terms of lights-out policies."

1. What is the possible reason for birds' crashing into buildings?
A.They didn't see the buildings.
B.They took reflections for reality.
C.They assumed the windows to be open.
D.They considered buildings as safe routes.
2. What is Jared Elmore's study different from the previous ones?
A.It created a new data set.
B.It went beyond national borders.
C.It covered a wider range of sites.
D.I’ll studied some specific bird species.
3. What was the most noticeable finding of Jared Elmore's study?
A.Migratory species travel at night.
B.Birds tend to be misled by glasses.
C.Bigger buildings cause more collisions.
D.Birds living habits give rise to collisions.
4. Which of the following can help reduce bird collision?
A.Adjust the lightening system.
B.Attach radars to each building.
C.Adopt strict lights-out policies.
D.Ban using glasses on buildings.
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【推荐2】Do you have skinny genes? And I’m not talking about the pants you wore in college but can’t fit into anymore. No,skinny genes are factors found in folks who are naturally thin. And researchers have just identified one that appears to tell the body’s tissue to burn more fat.

“We all know these people who can eat whatever they want but never gain any weight. ”

Josef Penninger is a geneticist at the University of British Columbia. He says that individuals who are effortlessly thin may hold the key to understanding obesity. See, scientists interested in learning how we control our weight have traditionally focused on the things that make you fat, like diet or metabolism(新陈代谢). “But not really studied why people actually stay skinny. So we thought we’d just turn around the fields and study genetics of thinness. ”

Penninger and his colleagues started out by searching a database maintained by a genome center in Estonia for its most thin registrants. And they weeded out people who were listed as having anorexia(厌食症)or other conditions that change body fat. Then they looked for genetic markers that track with these Skinny Petes.

One gene, in particular, caught their eye: ALK, or the gene for anaplastic lymphoma kinase, is a stretch of DNA whose mutant(突变体)form has been associated with human cancers.

“But its normal function had never been established.” So the scientists made mutant fruit flies and mutant mice. “To really show that the gene associated with thinness in humans makes also flies and mice skinny. And that’s exactly what we found. ”But the mutant gene doesn’t cause the animals to eat less. “We found that ALK acts in our brains and what it does: it allows our body to burn more calories per same food we eat.” So the brain tells fat cells to burn more of the fat they have socked away.

“People, mice and, we believe, also flies stay skinny. So this mechanism is evolutionarily conserved from insects to humans and, we believe, opens up an entirely new field of thinness.” There are already drugs that prevent the cancer-causing form of ALK, which means that ALK is what scientists call a druggable target. “So maybe one day we can indeed develop a pill which keeps us thin.”

1. What did the previous study focus on?
A.Skinny genes.B.Subjects’daily routines.
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2. What does the underlined phrase mean in Para. 4?
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A.It is a gene to burn fat.B.It is unique to wild creatures.
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4. What is the researchers’ attitude towards the new direction of the study?
A.Optimistic.B.Conservative.C.Doubtful.D.Hopeless.
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【推荐3】If the benefits of physical activity were made into a pill, everyone would be on it. Studies show that moving improves nearly every aspect of health: boosting sleep, strength, and mental well-being. Still, most people don’t exercise nearly enough. According to data published in 2023, less than a third of U.S. adults get the government-recommended amount of physical activity in their free time: at least 20 minutes of moderate-intensity aerobic exercise per day, plus a couple of muscle-strengthening sessions each week.

Why is it so tough to get people to do something so good for them? Physical limitations, health problems and modern life are certainly factors for many people. But research suggests there’s another factor: our brains don’t want us to exercise. For most of human existence, people had to be physically active to carry out the basic functions of life, such as finding food. Humans evolved (进化) to tolerate a high level of activity-but also to conserve energy for when movement was unnecessary, explains Daniel Lieberman, a human evolutionary biologist. As a society, we no longer move much in daily life, but the evolutionary instinct (本能) to conserve energy remains, Lieberman says. “That voice ‘I don’t want to exercise,’ is completely normal and natural,” he says.

Physical-activity researcher Matthieu Boisgontier demonstrated that phenomenon in a 2018study. He gave people control of a digital avatar (化身) while they were connected to brain-activity monitors. They were instructed to move the avatar away from images of sedentary (久坐的) behavior that appeared on screen and toward images of physical activity. The study found that avoiding sedentary behavior took more brain power, suggesting that we have an “automatic tendency” to pick relaxing over moving.

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A.DoubtfulB.Reserved.C.Approving.D.Opposed.
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