영어 모의고사 (자동 편성)

Before making a purchase, most online shoppers now read reviews ①written by previous customers rather than relying solely on advertisements. These reviews, posted by people who have no financial connection to the seller, often ②seem more trustworthy than promotional claims. Research shows that products with a large number of positive reviews ③sell significantly more than those with few or no reviews at all. However, fake reviews written by paid writers or even automated programs ④has become a serious problem, undermining consumer trust. To address this issue, several review platforms have begun ⑤using artificial intelligence to identify suspicious patterns.

When a beverage company launched a new flavor last summer, the marketing team faced a tight budget and needed a creative solution. Instead of relying on expensive television commercials, they designed a simple dance challenge and invited a handful of everyday users ①to post videos using the product. Within days, thousands of people began recreating the dance and tagging the brand, turning an ordinary product launch into a viral trend. Because participants created the content themselves, viewers found the videos far more entertaining than a traditional advertisement would have been. The company barely spent any money on production, yet the challenge ②reach millions of viewers across multiple platforms. Researchers later explained that the original challenge ③succeeded because it ④felt spontaneous and fun rather than obviously commercial. This case demonstrates that authenticity, not advertising budget, often ⑤determines whether a campaign truly resonates with audiences.

Automation is transforming labor markets more quickly than economists predicted only a decade ago. Factories once staffed by hundreds of workers now rely on robotic arms ①that assemble products with remarkable precision. Warehouses use automated systems ②to sort and deliver packages within a few hours. This shift does not simply eliminate jobs; it also creates roles that ③never exists before. Technicians who maintain robotic equipment are now in high demand, and engineers who design efficient systems ④are highly valued. Policymakers argue that retraining programs ⑤are essential to help displaced workers move into emerging fields.

During sleep, the brain does not simply rest; it actively reorganizes the day's experiences into lasting memories through a process called consolidation. Newly formed memories are initially ①fragile and stored primarily in a brain region called the hippocampus, which has ②unlimited long-term capacity. While a person sleeps, particularly during the deep stages of non-REM sleep, neural activity replays these fresh memory traces in rapid, compressed sequences, gradually transferring the information to the cortex for more ③durable, long-term storage. This replay strengthens the connections between neurons that encoded the original experience, making the memory more ④resistant to interference from unrelated events the following day. Sleep researchers have demonstrated this effect experimentally: participants who slept after learning a list of word pairs recalled more items the next day than participants who remained awake instead. Crucially, the benefit was not limited to simple recall; sleep also seemed to help participants ⑤extract general patterns from the material, suggesting that consolidation involves more than passive storage.

After a viewer finishes an episode, a streaming service rarely leaves the choice of what to watch next entirely up to chance. Instead, a recommendation algorithm ①compares that viewer's habits with patterns drawn from millions of other users who watched similar content, then ranks thousands of titles in order of predicted interest. This approach keeps viewers ②disengaged far longer than a simple list of new releases ever could, which is precisely why streaming companies invest so heavily in refining it. The system is not without drawbacks, however. Because the algorithm favors titles similar to what a viewer already enjoys, it can quietly ③narrow someone's exposure to unfamiliar genres, directors, or cultures, creating a comfortable but repetitive bubble. Some platforms have begun inserting occasional wildcard suggestions, deliberately unrelated to past viewing habits, in an attempt to ④counteract this narrowing effect and keep recommendations from becoming too ⑤predictable.

Turning on automatic captions used to mean settling for garbled text full of obvious errors, but recent speech-recognition models have made same-language captions ①accurate enough that many viewers now leave them on by default, even when watching content in their native language. The technology listens to audio, breaks it into individual sounds, and matches those sounds against a massive library of words and phrases to predict what was actually said. For viewers who are deaf or hard of hearing, this improvement has quietly ②transformed everyday access to video content that once required a human transcriber and a considerable amount of time to caption properly. The system still ③excels at overlapping speakers, strong accents, and specialized vocabulary such as medical or technical terms, occasionally producing captions that are unintentionally funny. Even with these ④flaws, most users agree that imperfect captions are far more ⑤useful than no captions at all.

Sociologist Mark Granovetter introduced an idea that seems ①contradictory at first glance, known as the strength of weak ties. According to this theory, people who see each other only ②occasionally, called weak ties, often provide more valuable information than close friends or family members, who are considered strong ties. This happens because strong ties tend to share the same social circles and, therefore, already possess ③similar knowledge. Weak ties, in contrast, move within different networks, which allows them to introduce ideas or opportunities that would otherwise remain unknown. For example, a former classmate rarely contacted might mention a job opening unavailable through one's immediate circle. Social media platforms have made maintaining such connections remarkably ④harder, letting users keep hundreds of loose acquaintances active without frequent face-to-face meetings. Consequently, these platforms function as efficient channels through which weak ties continue delivering ⑤fresh opportunities that close relationships simply cannot offer.

Psychologists who study daily behavior describe habits through a model called the cue-routine-reward loop. This theory explains that every habit begins with a cue, a signal that tells the brain to start an automatic behavior. The brain then performs a routine, which is the action itself, whether physical or mental. Finally, the brain receives a reward, a positive feeling that makes it want to repeat the same behavior. For example, a notification sound can act as a cue that leads a student to check a phone, and the relief from boredom becomes the reward. Similarly, opening a refrigerator out of habit rather than hunger shows how a routine can run without conscious thought. Because this loop operates automatically, breaking a bad habit requires ___________. Understanding this structure helps people redesign daily patterns more effectively than relying on willpower alone.

Companies have discovered that ordinary advertisements no longer capture the attention of young consumers as effectively as they once did. (A) As a result, many brands now spend a large portion of their advertising budgets on influencer partnerships rather than television commercials. (B) This is because influencers build long-term relationships with their audiences, which makes recommendations feel personal rather than commercial. (C) However, brands must choose their partners carefully, since an influencer's reputation can directly affect how a product is perceived.

A request as ordinary as asking for tomorrow's weather, for instance, triggers a surprisingly long chain of computation behind the scenes. Smart speakers have quietly become a fixture in many households, responding to spoken requests for weather updates, music, or kitchen timers. ( ① ) Behind this simple exchange lies a complex process: the device converts sound waves into text, interprets the meaning using language models, and then generates a spoken reply, all within a second or two. ( ② ) Because these assistants improve by learning from millions of interactions, they gradually become better at recognizing regional accents and casual phrasing that once confused them. ( ③ ) Still, the technology remains far from perfect. ( ④ ) Background noise, overlapping voices, or an unusual sentence structure can cause the assistant to misunderstand a simple request, sometimes with amusing results. ( ⑤ ) Engineers continue to refine these systems, but many admit that truly natural conversation remains one of the hardest goals in the entire field of artificial intelligence.