영어 모의고사 (자동 편성)

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.

Soyeon joined an online study group chat where dozens of students planned a class project together every evening. When one member suggested skipping a required survey step to save time, several others ①quickly agreed, and no one raised any objections. Soyeon ②privately worried that skipping the survey might weaken their project, but seeing everyone else nodding along, she stayed ③vocal rather than risk sounding difficult. The group proceeded confidently, convinced their shortcut was harmless, until their teacher pointed out ④serious gaps once the project was submitted. She realized that the chat's friendly, unified atmosphere had actually discouraged critical thinking, making poor decisions feel completely ⑤normal at the time.

Have you ever felt a ①boring class lasted forever while an exciting weekend disappeared in an instant? This common experience reflects what psychologists call the distortion of time perception: subjective time can differ from actual clock time. Researchers explain that people who focus intensely on an enjoyable activity process fewer separate moments, so time seems to pass ②slowly. In contrast, bored or anxious people pay ③closer attention to each moment, making time feel as though it is dragging. When people become deeply ④engaged in a task, they often lose track of time, unaware of how many minutes have passed. For example, athletes and musicians often say that hours felt like minutes while they were fully ⑤absorbed in performance.

Companies that ignore these concerns risk public backlash, especially when unethical practices are ①exposed through investigative journalism or social media. Real accountability, according to many experts, requires independent verification rather than self-reported claims that ②can be easily checked. Consumers, for their part, must also remain ③vigilant, since a company's marketing language does not always match its actual practices. When ethical claims are verified and accurate, however, they can build meaningful ④trust between a brand and its customers. Ultimately, corporate responsibility should be treated as an ⑤ongoing commitment rather than a marketing strategy.

Many teenagers check their social media accounts dozens of times a day, worried that they might miss something important happening among their friends. This anxiety, known as FOMO, or the fear of missing out, arises when people believe that others are enjoying experiences from which they themselves are excluded. For example, a student scrolling through photos of a party she was not invited to may suddenly feel a wave of loneliness and regret, even though the event has already ended. Constantly refreshing feeds to avoid missing such updates, however, makes it difficult to concentrate on schoolwork or conversations happening in the present moment. Moreover, this endless comparison with curated highlights of other people's lives tends to deepen feelings of anxiety rather than relieve them. Therefore, students should learn to ___________.

Long before social media existed, people naturally clustered into groups based on shared traits. (A) These algorithms track patterns such as shared interests, mutual friends, and browsing habits to recommend new connections. (B) Neighborhoods, schools, and workplaces often reflected this tendency, as individuals gravitated toward others who resembled themselves. (C) Today, however, this same tendency operates through recommendation algorithms built into social media platforms.

The gap between popular belief and scientific evidence about habit formation has surprised many researchers. (A) This finding suggests that people who quit a new habit after only three weeks may simply be giving up too early, not failing at the habit itself. (B) Their results showed that habits took an average of sixty-six days to become automatic, far longer than the widely repeated twenty-one-day figure. (C) To test how long habit formation truly takes, scientists asked volunteers to track a new daily behavior for several months.

This dopamine-driven cycle explains why so many people check their phones dozens of times throughout the day without even realizing it. (A) Neuroscientists have found that the anticipation of a possible reward, not the reward itself, produces the strongest dopamine response in the brain. (B) In other words, the brief moment of waiting to see how many likes a post receives can feel more exciting than the actual number that appears. (C) Because this anticipation is so powerful, technology designers intentionally build delays and randomness into how notifications are delivered.

Many people who try digital detox for the first time report feeling anxious within the first few hours. (A) This initial discomfort, sometimes called withdrawal anxiety, tends to fade after a day or two as the mind adjusts to reduced stimulation. (B) Once that adjustment period passes, most participants describe a noticeable sense of calm that they had not expected. (C) This unexpected calm often motivates people to repeat the practice regularly instead of treating it as a one-time experiment.

주어진 문장: At first glance, this seems to suggest that Dunbar's theory no longer applies in the digital age. Anthropologist Robin Dunbar proposed 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. ( ① ) This limit, he argued, comes from the size of the human brain, which restricts how many meaningful connections a person can cognitively manage. ( ② ) In contrast, many social media users today have hundreds or even thousands of online friends and followers, a number far exceeding what Dunbar's research predicts. ( ③ ) However, having numerous digital contacts does not necessarily mean that all of these relationships are close or emotionally supportive. ( ④ ) Most users, when asked, admit that they interact regularly with only a small fraction of their total followers, while the rest remain largely unnoticed. ( ⑤ ) Therefore, Dunbar's number reminds us that genuine, lasting relationships require consistent effort and attention, something that a large online network alone cannot provide.