How People Read News in 2026
How People Read News in 2026
2026年人們如何閱讀新聞
Introduction
The Reuters Institute has a new report. It shows how people get news today.
路透社研究所發布了一份新報告，顯示了當今人們獲取新聞的方式。
Main Body
Many people do not watch TV news or visit news websites. Young people in the USA do not use old news tools.
許多人不再觀看電視新聞或訪問新聞網站。美國的年輕人不再使用舊的新聞工具。
Most people like news videos. They use YouTube and TikTok. Some people watch long videos for 20 minutes.
大多數人喜歡新聞影片。他們使用 YouTube 和 TikTok。有些人會觀看長達 20 分鐘的長影片。
People do not trust the news. They use social media, but they do not trust it. More people use AI bots, but they still do not trust them.
人們不信任新聞。他們使用社交媒體，但並不信任社交媒體。更多的人使用 AI 機器人，但他們仍然不信任這些機器人。
Conclusion
People do not trust news companies. But the world still needs good journalism.
人們不信任新聞公司，但世界依然需要優質的新聞報導。
Vocabulary Learning
The Power of "Do Not"
In this text, we see a pattern for saying 'no' to an action. To move to A2, you must master how to stop an action in a sentence.
The Formula:
Person → do not → action
Examples from the text:
- People do not watch TV.
- Young people do not use old tools.
- They do not trust the news.
Why this matters: Instead of just saying "No TV," we use do not to make a full, professional sentence. It is the simplest way to describe a habit that does not exist.
Vocabulary Learning
Analysis of Global News Consumption Trends: The 2026 Reuters Digital News Report
全球新聞消費趨勢分析：2026年路透數位新聞報告
Introduction
The Reuters Institute for the Study of Journalism has published its 2026 Digital News Report. The report highlights a major change in how people around the world, especially young people, get their news.
路透新聞研究學院發表了 2026 年數位新聞報告。該報告強調了全球民眾，尤其是年輕人獲取新聞方式的重大轉變。
Main Body
The report was written by Jim Egan and is based on a survey of about 100,000 people in 48 countries. The data shows that people are moving away from traditional news methods. For example, the decline in television news and visits to news websites is more significant than the growth of social media. This trend is strongest among people under 25 in the United States, where more than one-third say they do not use traditional news platforms regularly.
該報告由 Jim Egan 撰寫，基於對 48 個國家約 10 萬人的調查。數據顯示，人們正逐漸脫離傳統的新聞獲取方式。例如，電視新聞與新聞網站訪問量的下降幅度比社交媒體的增長更為顯著。這一趨勢在美國 25 歲以下的人群中最強烈，其中超過三分之一的人表示他們不會定期使用傳統新聞平台。
Furthermore, video content has become a main way to consume news, with 75% of people watching news videos every week. While platforms like YouTube and TikTok are very popular—YouTube reaches 34% of people globally and 66% in Kenya—traditional news companies have not been able to use this trend to increase their own website traffic. Interestingly, the data shows that young people are still capable of focusing on longer content, as about 20% regularly watch news videos longer than 20 minutes.
此外，影片內容已成為消費新聞的主要方式，每週有 75% 的人觀看新聞影片。雖然 YouTube 和 TikTok 等平台非常受歡迎——YouTube 的全球觸及率為 34%，在肯亞則達 66%——但傳統新聞公司未能利用這一趨勢來增加自身的網站流量。有趣的是，數據顯示年輕人仍然能夠專注於較長內容，約 20% 的人會定期觀看超過 20 分鐘的新聞影片。
However, trust in news organizations remains a serious problem. Trust has dropped by at least three percentage points in 29 of the 48 countries, and only 37% of global respondents generally trust the news. There is a strange contradiction here: audiences are moving toward social media even though these platforms have the lowest levels of trust. Additionally, the use of AI chatbots for news has risen from 7% to 10%, but very few people trust these tools.
然而，對新聞機構的信任度仍是一個嚴重問題。在 48 個國家中，有 29 個國家的信任度下降了至少三個百分點，全球僅有 37% 的受訪者大致信任新聞。這裡存在一個奇怪的矛盾：儘管這些平台的信任度最低，觀眾卻正向社交媒體轉移。此外，使用 AI 聊天機器人獲取新聞的比例從 7% 升至 10%，但極少數人信任這些工具。
Conclusion
Even though traditional news delivery is failing and trust is declining, the report emphasizes that journalism is still essential for helping society understand the world.
儘管傳統新聞傳遞方式失效且信任度下降，但報告強調，新聞業對於幫助社會理解世界依然至關重要。
Vocabulary Learning
🚀 The 'Comparison Shift': Moving from A2 to B2
At an A2 level, you usually say things are bigger or smaller. To reach B2, you need to describe trends and proportions using more sophisticated structures.
Look at this sentence from the text:
"The decline in television news... is more significant than the growth of social media."
💡 Why this is a B2 Power-Move
Instead of saying "TV news is going down more than social media is going up," the author uses Noun Phrases (The decline / The growth) + a Strong Adjective (significant). This transforms a simple observation into an academic analysis.
🛠️ The Tool: "More [Adjective] than [Noun]"
To sound more fluent, stop describing actions and start describing concepts.
| A2 Approach (Simple) | B2 Approach (Analytical) |
|---|---|
| More people trust TikTok than the BBC. | The level of trust in TikTok is higher than that of the BBC. |
| AI is growing, but slowly. | The rise of AI is less rapid than the decline of print news. |
| Young people watch long videos too. | The capacity for long-form content is more surprising than expected. |
🚩 Warning: The 'Contradiction' Bridge
B2 speakers don't just use "but." They use words that show a logical conflict. The article uses:
- "Furthermore" (Adding a layer of data)
- "However" (Switching to a negative point)
- "Strange contradiction" (Highlighting a paradox)
Pro Tip: Next time you disagree with someone, don't say "But I think..." Try: "There is a strange contradiction in your argument because..."
Vocabulary Learning
Analysis of Global News Consumption Trends as Detailed in the 2026 Reuters Digital News Report
2026年路透數位新聞報告詳細分析全球新聞消費趨勢
Introduction
The Reuters Institute for the Study of Journalism has released its 2026 Digital News Report, highlighting a significant shift in how global audiences, particularly younger demographics, access information.
路透新聞研究院發布了 2026 年數位新聞報告，強調全球觀眾，尤其是年輕族群獲取資訊的方式發生了顯著轉變。
Main Body
The report, authored by Jim Egan and based on a survey of approximately 100,000 individuals across 48 nations, indicates a systemic migration away from traditional news modalities. Data suggests that the decline of television broadcasts and direct engagement with news organization websites is more pronounced than the growth of social media usage itself. This trend is most acute among individuals under 25 in the United States, where over one-third report no regular utilization of traditional news platforms.
這份由 Jim Egan 撰寫、基於 48 個國家約 10 萬人調查的報告指出，人們正系統性地脫離傳統新聞模式。數據顯示，電視播報與直接造訪新聞機構網站的下降幅度，比社交媒體使用量的增長更為顯著。這一趨勢在美國 25 歲以下的年輕人中最為嚴重，超過三分之一的人表示並不定期使用傳統新聞平台。
Furthermore, the proliferation of video content has become a primary driver of news consumption, with 75% of respondents engaging with news videos weekly. While platforms such as YouTube and TikTok dominate—with YouTube reaching 34% globally and 66% in Kenya—traditional publishers have failed to translate this format's popularity into increased on-site traffic. Notably, the data challenges assumptions regarding the cognitive limitations of youth; approximately 20% of respondents regularly consume long-form video content exceeding 20 minutes.
此外，影片內容的普及已成為新聞消費的主要驅動力，75% 的受訪者每週都會觀看新聞影片。雖然 YouTube 和 TikTok 佔據主導地位（YouTube 在全球佔 34%，在肯亞佔 66%），但傳統出版商未能將這種格式的普及轉化為網站流量的增長。值得注意的是，數據挑戰了關於青年認知能力限制的假設；約 20% 的受訪者會定期觀看超過 20 分鐘的長篇影片內容。
Institutional trust remains a critical concern. Trust in news has diminished by at least three percentage points in 29 of the 48 surveyed countries, with only 37% of global respondents expressing general trust. A paradoxical relationship exists wherein audiences increasingly migrate toward social media platforms despite these platforms being characterized by the lowest levels of trust. Additionally, the integration of artificial intelligence into news gathering has increased, with chatbot usage rising from 7% to 10%, although trust in these tools remains minimal.
對機構的信任仍然是一個關鍵問題。在 48 個受訪國家中，有 29 個國家對新聞的信任度下降了至少三個百分點，全球僅有 37% 的受訪者表達一般信任。這裡存在一個矛盾現象，即儘管這些平台的信任度最低，觀眾反而越來越多地轉向社交媒體平台。此外，人工智能在新聞採集中的整合程度有所增加，聊天機器人的使用率從 7% 升至 10%，但對這些工具的信任度依然極低。
Conclusion
Despite the erosion of traditional delivery systems and a decline in institutional trust, the report maintains that the fundamental necessity of journalism persists in providing societal orientation.
儘管傳統傳遞系統遭到削弱且對機構的信任度下降，但報告仍認為，新聞業在提供社會方向指引方面依然具有根本必要性。
Vocabulary Learning
The Architecture of 'Academic Detachment'
To transition from B2 to C2, a learner must move beyond simple synonym replacement and master Nominalization and the Passive Semantic Shift. The provided text is a masterclass in depersonalization—the ability to present data as an objective truth by removing the human agent.
◈ The Nominalization Pivot
Notice how the text avoids verbs of action in favor of abstract nouns to create a sense of systemic inevitability.
- B2 approach: "People are moving away from traditional news." (Subject Action)
- C2 approach: "...a systemic migration away from traditional news modalities." (Abstract Concept State of Being)
By turning the action (migrate) into a noun (migration), the writer shifts the focus from the people to the phenomenon. This is the hallmark of high-level institutional reporting.
◈ Lexical Precision: The 'Nuance Scale'
C2 mastery requires selecting words that carry a specific sociological or technical weight. Observe these high-utility pairings from the text:
- "Pronounced" vs. "Big": "...is more pronounced than..." Indicates a visible, distinct pattern rather than mere size.
- "Acute" vs. "Strong": "This trend is most acute among..." Borrowed from medical terminology, implying a sharp, intense, or critical point of impact.
- "Erosion" vs. "Decrease": "...the erosion of traditional delivery systems..." Suggests a gradual wearing away, implying a process of decay rather than a sudden drop.
◈ Syntactic Sophistication: The Paradoxical Clause
Look at the construction: "A paradoxical relationship exists wherein audiences increasingly migrate..."
The use of "wherein" serves as a sophisticated bridge, allowing the writer to define a complex state of affairs within a single, flowing sentence. It replaces the clunkier "in which" and signals a formal, analytical register.
C2 Strategic Takeaway: To sound authoritative, stop describing what people do and start describing the trends that govern their behavior. Replace active verbs with noun phrases and utilize 'state-of-being' adjectives (acute, pronounced, paradoxical) to categorize data.