영어 모의고사 (자동 편성)

Modern advertising increasingly relies on personal data ①collected from users' browsing habits, search histories, and social media activity. Companies argue that this approach benefits consumers by showing advertisements that are more relevant to their actual interests. However, many critics contend that this level of tracking raises serious concerns about privacy, since users rarely understand how extensively their behavior ②is being monitored. Some algorithms can predict purchasing decisions before consumers themselves are consciously aware of them, ③which feel unsettling to many people. Furthermore, personalized advertising can trap users in a narrow bubble, repeatedly showing them similar products and ④limiting their exposure to alternatives. Supporters counter that consumers who dislike targeted ads can simply ⑤adjust their privacy settings.

When the body fights off an infection, the immune system relies heavily on ①adequate sleep to function effectively. During deep sleep, the body produces and releases cytokines, proteins ②that help regulate immune responses and coordinate the fight against harmful invaders. People who consistently sleep fewer than six hours a night ③shows measurably weaker antibody responses after vaccination compared with those who sleep seven or eight hours. Chronic sleep deprivation also appears ④to promote low-grade inflammation throughout the body, a state that has been linked to a higher risk of heart disease. Rather than being a passive state, sleep functions as an active period during which the immune system ⑤repairs itself and prepares for future threats.

As technology continues to reshape nearly every profession, the idea of finishing education after graduation ①has become outdated. Workers who once expected their initial training to last an entire career now find that skills can become obsolete within just a few years. Many professionals now take short online courses, attend workshops, or ②earn new certifications while continuing to work full-time. Companies that support this kind of continuous education often benefit as well, since employees ③bring fresh knowledge back into their daily tasks. Critics argue that constant learning can be exhausting and ④difficultly to balance with personal responsibilities. Nevertheless, most career experts insist that those who resist ongoing education risk ⑤falling behind their peers.

Team sports place athletes in a uniquely social form of competition, one where individual skill alone ①rarely determines the outcome of a match. Sports psychologists have long studied why some groups of talented individual players fail to perform as a cohesive unit while other, less individually skilled teams consistently ②exceed expectations. Trust among teammates appears to be a ③decisive factor, since players who believe their teammates will reliably fulfill their roles are more willing to take the calculated risks that winning often requires. Clear and consistent communication during high-pressure moments further reduces the hesitation and confusion that can ④unravel a team's coordination in front of a crowd. Interestingly, researchers have found that teams which deliberately build informal social bonds off the field tend to display better on-field cohesion, suggesting that chemistry can ⑤easily be manufactured through drills alone.

Open a music streaming app on any given morning, and a personalized playlist is usually already waiting, assembled overnight from songs the algorithm predicts will match a listener's current mood. This prediction relies on far more than genre alone; the system studies skip rates, replay counts, and even the time of day a song is typically played to build a remarkably ①detailed profile of individual taste. Listeners often ②praise the feature for introducing them to artists they never would have searched for on their own, effectively acting as a tireless music scout working around the clock. Musicians, meanwhile, have mixed feelings about this shift in how audiences discover new music. A song that the algorithm decides not to promote may ③thrive among listeners no matter how well it was written, meaning that an artist's success can depend as much on pleasing an algorithm as on pleasing an ④actual audience, a dependence some musicians find deeply ⑤unsettling.

For centuries, dreams have fascinated scientists and philosophers alike, yet no single theory fully explains why the sleeping brain generates such vivid and often bizarre experiences. One prominent idea suggests that dreaming helps the brain process emotional experiences, _______________. Another theory proposes that dreams serve a more practical function, allowing the brain to rehearse responses to threats without any real danger, a kind of nightly simulation that may have offered early humans a survival advantage. Still other researchers argue that dreaming is simply a byproduct of the brain organizing memories, with vivid imagery arising as the mind sorts through the day's information rather than serving any independent purpose of its own.

Browsing an online store today often means chatting with an AI assistant that asks a few quick questions before suggesting a short list of products tailored to the answers. Retailers report that shoppers who use these chatbots tend to complete purchases more often and return fewer items, since the guided conversation helps buyers choose products that actually fit their needs. Some shoppers, however, remain wary of how personal the questions can feel, wondering _______________. Consumer advocates argue that stores should clearly explain what happens to this data, rather than burying the explanation in a lengthy privacy policy that almost no one reads.

A growing number of health apps now track steps, sleep, and heart rate throughout the day, quietly building a detailed picture of a user's physical condition without requiring a single visit to a doctor's office. (A) Doctors caution, however, that these apps are designed to detect patterns, not to diagnose illness, and that a worried user should always confirm any alarming reading with a professional. (B) For people living far from specialists or unable to afford frequent checkups, this kind of constant monitoring can feel like a genuine safety net. (C) By comparing this stream of data against patterns drawn from millions of other users, the app's algorithm can flag early warning signs, such as an irregular heartbeat, long before the person notices anything unusual.

Whenever a user marks a message as spam or rescues a message mistakenly filtered out, that action becomes new training data, sharpening the filter's future decisions. Every day, email providers quietly block billions of unwanted messages before they ever reach a user's inbox, a task that would be impossible without an AI filtering system running constantly in the background. ( ① ) The filter examines each incoming message for suspicious patterns, including certain keywords, unusual sender addresses, and formatting tricks that scammers commonly rely on to slip past detection. ( ② ) What makes the system effective is that it keeps learning after launch. ( ③ ) This creates a constant back-and-forth, since spammers study which messages get blocked and then adjust their wording to slip through again. ( ④ ) As a result, spam filtering is less like a fixed wall and more like an ongoing contest, with each side continuously adapting to outsmart the other. ( ⑤ )

주어진 문장: This constant tracking allows algorithms to build a detailed profile of each user's interests over time. Internet activist Eli Pariser introduced the term filter bubble to describe a phenomenon created by online algorithms. Social media platforms and search engines constantly track which links users click and how long they linger on certain posts. ( ① ) Based on this data, algorithms predict what each individual is most likely to enjoy and quietly prioritize similar content in future results. ( ② ) As a result, two people who type the same search query can receive strikingly different results, each tailored to personal history. ( ③ ) This automatic filtering happens silently, without users ever deciding to limit what they see. ( ④ ) Consequently, many people gradually lose access to viewpoints that challenge their existing beliefs, even though they never intended to avoid them. ( ⑤ ) Pariser warned that this invisible curation could weaken democratic debate by narrowing public discussion. Therefore, some experts argue that platforms should reveal how content is filtered, letting users knowingly escape their own bubbles.