大学受験対策｜英語 長文読解問題37 難易度：★★☆☆☆

In modern economics, big data has become essential for understanding consumer behavior, market trends, and business strategies. Through advanced tools, such as artificial intelligence (AI) and graph mining, economists and data scientists can discover new insights that help companies make better decisions. Graph mining is a method that examines relationships between data points, treating them like connected nodes in a network. By exploring these links, researchers can find hidden patterns in the flow of money or the movement of goods around the world.

One example is the study of social networks where people share information about brands and prices. AI can look at millions of posts and comments to identify changes in consumer opinion. Combined with graph mining, this allows experts to see how ideas spread across different groups or countries. In the same way, financial institutions analyze transactions to detect fraudulent activity. They rely on machine learning algorithms that become smarter over time.

Big data is not only about collecting a huge volume of information; it is also about understanding it in a useful way. With the help of AI, we can process large amounts of data more quickly than ever before. This makes it possible to respond to market changes with greater speed and accuracy. When organizations are able to detect patterns early, they can adjust their strategies and reduce risks. As more companies adopt these methods, the future of economics promises even deeper insights for both businesses and consumers.

Some experts believe that governments will also benefit from these techniques, using them to predict economic trends and allocate resources more efficiently. By using graph mining and AI, policymakers can make informed choices for stable growth and prosperity.

Q1. Which statement best reflects how analysts use social media to learn about consumer attitudes?

1. They rarely check social media platforms because they doubt the reliability of comments.
2. They mostly collect personal messages without analyzing larger conversation patterns or interactions.
3. They utilize artificial intelligence to examine extensive online discussions and detect shifts in opinions.
4. They employ only human experts for reading a few selected customer reviews.

Q2. What does the text suggest about handling big data for faster market responses?

1. They gather small samples of data and store them for future studies.
2. They combine artificial intelligence and rapid analytics to react quickly and efficiently to any market developments.
3. They avoid immediate adjustments in response to new trends or changes in consumer behavior.
4. They prefer manual processes that involve slower calculations for interpreting enormous datasets.

Q3. Which statement is not supported by the ideas presented in the passage?

1. Economic experts have completely replaced human oversight with automated artificial intelligence to manage financial decisions daily.
2. Researchers investigate interconnected datasets to spot hidden relationships in monetary or commercial information using advanced tools.
3. Organizations can interpret extensive data sets more rapidly and lower risks, thanks to faster detection of meaningful patterns.
4. Government agencies could adopt these analytical techniques to foresee significant economic developments and allocate resources wisely.