영어 모의고사 (자동 편성)

As millions of people now earn income through delivery apps and ride-hailing platforms, questions about their legal status ①have become increasingly urgent. Most platform workers are classified as independent contractors rather than employees, ②which means they are not entitled to minimum wage guarantees or paid sick leave. Companies favor this arrangement because it allows them ③to avoid the costs associated with hiring full employees. Worker advocates, however, argue that many platform workers ④depend on these jobs as their primary source of income. Several countries have recently begun reconsidering their labor laws, ⑤proposed new categories that would grant workers some protections.

Anthropologist Robin Dunbar ①proposed a concept now known as Dunbar's number, suggesting that human beings can only maintain about one hundred fifty stable social relationships at any given time. This limit, he argued, comes from the size of the human brain, ②which restricts how many meaningful connections a person can cognitively manage. In contrast, many social media users today have hundreds or even thousands of online friends and followers, a number far ③exceeding what Dunbar's research predicts. However, having numerous digital contacts does not necessarily mean that all of these relationships ④are close or emotionally supportive. Most users, when asked, admit that they interact regularly with only a small fraction of their total followers, while the rest remain ⑤largely unnoticing.

Internet activist Eli Pariser introduced the term filter bubble to describe a phenomenon ①created by online algorithms. Social media platforms and search engines constantly track which links users click and how long they linger on certain posts. Based on this data, algorithms predict what each individual is most likely ②to enjoy and quietly prioritize similar content in future results. As a result, two people who type the same search query can receive strikingly different results, each ③tailoring to personal history. This automatic filtering happens silently, without users ever ④deciding to limit what they see. Consequently, many people gradually lose access to viewpoints ⑤that challenge their existing beliefs, even though they never intended to avoid them.

A small riverside village had ①<u>endured</u> severe flooding almost every summer, watching helplessly as rising water damaged homes and destroyed crops year after year. Frustrated residents eventually decided to pursue climate adaptation, adjusting their infrastructure and habits to reduce the damage caused by increasingly unpredictable weather. Engineers widened the drainage canals surrounding the village, allowing excess rainwater to flow away more efficiently instead of pooling in low-lying streets. Meanwhile, several families whose houses stood in the most ②<u>vulnerable</u> areas relocated to higher ground, even though leaving their long-time homes was emotionally difficult. The village also installed an early warning system that sent alerts to residents' phones whenever river levels rose dangerously fast. When a powerful storm struck three years later, the new measures proved ③<u>useless</u>, and the village suffered only minor damage instead of the ④<u>devastating</u> losses it had previously faced. Their ⑤<u>resilience</u> became a model for neighboring communities.

As more businesses move their operations online, cyberattacks have become one of the most ①serious threats facing modern companies. In response, demand for cybersecurity professionals has ②decreased across nearly every industry. These specialists design systems that detect suspicious activity, patch vulnerabilities before criminals can exploit them, and train employees to recognize phishing attempts. Unlike many technical fields, cybersecurity requires constant learning, since hackers continually develop new methods to ③bypass existing defenses. Despite this expansion, experts estimate that millions of cybersecurity positions worldwide remain ④unfilled, largely because the number of qualified applicants has not kept pace with rapidly increasing demand. This shortage suggests that cybersecurity will remain a ⑤promising career path for years to come.

Secondhand trading platforms, once considered a niche market for used goods, have grown into a mainstream part of consumer culture. Rising prices for new products, combined with growing awareness of environmental waste, have encouraged many shoppers to consider used items before purchasing something brand new. These platforms allow individuals to sell clothing, electronics, and furniture directly to other consumers, cutting out traditional retail markups entirely. However, buying secondhand carries certain risks, since items cannot always be inspected closely before purchase, and some sellers misrepresent the condition of their products. To address this problem, many platforms now offer buyer protection programs and detailed rating systems for sellers. As trust in these systems continues to grow, ___________.

Communication scholar Elisabeth Noelle-Neumann proposed the spiral of silence theory to explain why certain opinions dominate public discussion while others fade into invisibility. According to this theory, individuals constantly observe their surrounding environment to judge which opinions are widely accepted and which are not. When people sense that their own view belongs to a minority, they often choose to stay silent rather than risk social isolation or criticism. This silence, however, creates a distorted impression that the minority opinion is even rarer than it actually is, discouraging additional supporters from speaking up. Over time, this cycle spirals downward, allowing the dominant opinion to appear increasingly unanimous while dissenting voices disappear from visible conversation. Social media platforms can intensify this spiral, since visibility metrics make popular opinions instantly noticeable while unpopular ones remain hidden. Consequently, some users _______________.

A documentary director named Mira first traveled to a remote Arctic glacier to film its towering cliffs of blue ice, which seemed frozen in time. Standing before the massive wall, she assumed such an enormous structure could hardly change within a lifetime. Five years later, however, she returned to the very same coordinates, expecting her camera to capture an identical scene. Instead, she discovered that the glacier had retreated so dramatically that the ice cliffs, once visible from her original position, had nearly disappeared, leaving bare rock and pools of meltwater behind. Comparing the two sets of footage side by side, Mira realized that _______________. This encounter convinced her that climate change, which she had previously regarded as a distant statistic, was in fact an urgent process reshaping landscapes before her eyes.

When Mina graduated from college five years ago, she had never even heard the term "data scientist." Everything changed when a small tech startup, which was building an app to predict traffic patterns, hired her to analyze massive amounts of data. Mina quickly discovered that she loved turning raw numbers into insights that helped real people make better decisions. Within two years, ___________, as companies in every industry realized how valuable data could be. Today, Mina leads a team of ten analysts, mentoring young graduates who are drawn to a field that barely existed when she began her own career.

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 )