Young People Prefer AI Over Google for Information
- 一份於2024年12月進行的調查,訪問了超過2,000名美國成年人,揭示了Z世代在資訊獲取上的重大轉變。調查顯示,傳統的搜尋引擎平台正面臨信任危機,數碼空間的格局也在悄然改變。
- 調查指出,Google等傳統科技平台和社交媒體的影響力正在減弱。越來越多的年輕人轉向AI聊天機器人、小眾社群和tiktok等平台尋找資訊。這種轉變反映了Z世代對於傳統資訊來源的信任度下降,以及對於更個性化、更即時資訊的需求。
- 這項研究發現了五個主要的研究結果,其中最引人注目的是,大型搜尋引擎如Google正在失去用戶的信任。Z世代的資訊來源正在變得更加多元化。
Z世代資訊獲取大轉變:不再只依賴Google?
Table of Contents
- Z世代資訊獲取大轉變:不再只依賴Google?
- Z世代不再青睐Google?调查显示更爱用AI获取信息
- The Shifting Sands of Online Engagement: AI, Community, adn the Future of the Internet
- AI Revolutionizing Healthcare: From Ultrasound to Mental Wellness
- Expanding Access to Maternal Care with AI
- AI-Powered mobile Apps for Personalized Healthcare
- AI for Mental Health: Providing Evidence-Based Support
- The “Death Clock” App: A Controversial Approach to Health Awareness
- Data Consumption of Mobile Apps: A Related Concern
- Conclusion: AI’s Transformative Role in Healthcare
一份於2024年12月進行的調查,訪問了超過2,000名美國成年人,揭示了Z世代在資訊獲取上的重大轉變。調查顯示,傳統的搜尋引擎平台正面臨信任危機,數碼空間的格局也在悄然改變。

示意圖
Google等搜尋引擎平台正失去信任
調查指出,Google等傳統科技平台和社交媒體的影響力正在減弱。越來越多的年輕人轉向AI聊天機器人、小眾社群和tiktok等平台尋找資訊。這種轉變反映了Z世代對於傳統資訊來源的信任度下降,以及對於更個性化、更即時資訊的需求。

示意圖
這項研究發現了五個主要的研究結果,其中最引人注目的是,大型搜尋引擎如Google正在失去用戶的信任。Z世代的資訊來源正在變得更加多元化。
這種現象表明,Z世代在資訊獲取方面,更傾向於尋找更真實、更具互動性的平台。AI聊天機器人能夠提供即時的解答和個性化的建議,而TikTok等社交平台則提供了更豐富、更生動的內容。這些平台正在成為Z世代獲取資訊的重要途徑。
總而言之,Z世代的資訊獲取習慣正在發生深刻的變化。傳統的Google搜尋引擎不再是唯一的選擇,AI聊天機器人、TikTok等平台正在崛起,成為Z世代獲取資訊的新寵。這種趨勢將對未來的數碼空間產生深遠的影響。
Z世代不再青睐Google?调查显示更爱用AI获取信息
一项调查揭示了Z世代在信息获取方式上的转变,他们正逐渐远离传统的搜索引擎,转而拥抱AI聊天机器人和社交平台。
1. google搜索面临挑战
调查显示,许多受访者对Google搜索的实用性表示担忧,认为其搜索结果的质量正在下降。
- 76%的人表示,超过四分之一的Google购物搜索结果看起来是“赞助或推广”。
- 仅14%的人认为这些赞助或广告式结果“非常有用”。
- 42%的人表示,Google和搜索引擎变得越来越不实用。
- 55%的人表示,从社群获取的信息比从在线搜索平台获取的更多。
- 52%的人表示,正在使用AI聊天机器人或其他平台如TikTok来获取信息,而非使用Google。
- 66%的人表示,信息质量正在下降,更难找到可靠的来源。
2. 数字空间的人际关系不足
社交媒体平台虽然让人们更容易与他人联系,但大多数受访者认为,这些平台创建了“回音室(Echo chambers)”,导致拥有相同信念的群体“抱团取暖”,使得社群越来越难与外界意见交流,或可能加剧社会撕裂。

受访者对于社交平台的看法:
- 86%认为,统治网络的大型社群媒体平台面临演变。
- 60%表示,对社群媒体的现状持“负面”看法。
- 四分之三的人觉得,大众逐渐碎片化(Fragmented)。
- 9成的人认为,社交平台建立了回音室,令社会更趋撕裂。
- 9成的人认为,与人建立更深联系的方式已根本改变。
3. 网络内容驱动社群及数字体验
在网络世界中,“内容”是数字社群的核心,其中包括主动发布或只是旁观。即使只是消费内容的人,如潜水者、旁观者等,仍然会感到与群体有所联系,属于群体一部分。调查指出,参与社群不代表一定要“大肆宣传”,仅仅存在就足以建立有意义的联系。

受访者认为Google搜索存在不同弊病:
- 76%表示,超过四分之一的Google购物搜索结果看起来是“赞助或推广”。
- 仅14%认为这些赞助或广告式结果“非常有用”。
- 42%表示,Google和搜索引擎变得越来越不实用。
- 55%表示,从社群获取的资讯比从在线搜索平台获取的更多。
- 52%表示,正在使用AI聊天机器人或其他平台如TikTok来获取资讯,而非使用Google。
- 66%表示,资讯质量正在下降,更难找到可靠的来源。
总而言之,Z世代的信息获取习惯正在发生显著变化,他们更加依赖社交媒体和人工智能,而对传统搜索引擎的信任度有所下降。这种趋势对未来的信息传播和社会互动模式都将产生深远影响.
The Shifting Sands of Online Engagement: AI, Community, adn the Future of the Internet
A recent study sheds light on evolving online habits, particularly among younger generations. The findings suggest a move away from traditional search engines and a nuanced relationship with AI, highlighting the importance of authentic, human-centered online experiences.
Key Findings:
1. The Rise of AI as a Primary Information Source
The research indicates a growing preference for AI-driven platforms as a starting point for online exploration.
- 49% of respondents begin thier online journeys on platforms like TikTok or Instagram.
- Only 21% still favor traditional search engines like Google.

2.The Power of Visual Finding
Visual content plays a significant role in how people discover and engage with information online.
- 63% of individuals use images as their primary search method.
- 54% rely on videos for information retrieval.
3. Content Creation: A Spectrum of Participation
While many consume online content, a smaller percentage actively contribute to its creation.
- 9% occasionally post or create content.
- 1% are responsible for a significant portion (80%) of online content creation.
4. AI: Powerful, But Not Universally Embraced
Despite the capabilities of AI, many users express a desire for genuine human interaction and are wary of automated experiences. The key is finding a balance between AI assistance and authentic engagement.

Respondent views on AI:
- 81% are skeptical about the authenticity of content on social media, suspecting AI involvement.
- 44% prefer human-driven content over algorithm-driven content in online communities.
- Nearly 50% would rather participate in communities that strictly prohibit AI-generated content.
- 55% believe AI will never stifle human creativity.
5. The Future: Smaller, Focused Communities
the study suggests a trend towards smaller, more intimate online communities where trust and shared values are paramount. These communities prioritize content and foster personalized, human interactions, positioning them as potential winners in the evolving digital landscape.
“Death Clock” App: A Glimpse into the Future?
In July, a “Death Clock” app was launched, amassing over 125,000 downloads globally. The app uses 1,200 life expectancy studies and data from 53 million subjects to predict lifespan.
AI Revolutionizing Healthcare: From Ultrasound to Mental Wellness
Artificial intelligence (AI) is rapidly transforming the healthcare landscape, offering innovative solutions to improve diagnostics, treatment, and overall well-being.From assisting in interpreting ultrasound images to providing personalized mental health support, AI’s potential in healthcare is vast and continuously expanding.
Expanding Access to Maternal Care with AI
One significant submission of AI in healthcare is its use in maternal ultrasound. Google AI, for example, is actively “developing AI models to make it easier to interpret significant health information from ultrasound images.” This initiative focuses particularly on maternal ultrasound, with a partnership established with Jacaranda Health in Kenya to refine these AI models.
The primary goal is to “expand access to care in areas where access to trained sonographers is limited.” By leveraging AI, healthcare providers in underserved regions can gain access to advanced diagnostic tools, ultimately improving maternal health outcomes.
AI-Powered mobile Apps for Personalized Healthcare
Beyond diagnostics,AI is also making waves in the realm of personalized healthcare through mobile applications. These AI-based apps cater to individual needs by “combining responsive AI tools and trusted insights.”
These apps frequently enough involve a team of doctors and healthcare professionals who study the user’s vital health states and provide sensible recommendations using a personalized ‘AI doctor’.This approach allows for tailored health advice and support, empowering individuals to take control of their well-being.
AI for Mental Health: Providing Evidence-Based Support
AI is also emerging as a valuable tool in mental health care. AI Mental Health Apps are designed to assist users in managing their mental well-being. Unlike generic advice, these apps provide “practical, evidence-based tools and techniques to help users navigate the complexities of their emotional and psychological states.”
By offering personalized support and guidance, AI-driven mental health apps can play a crucial role in improving access to mental healthcare and promoting emotional wellness.
The “Death Clock” App: A Controversial Approach to Health Awareness
One app, known as the “Death Clock,” takes a unique, albeit controversial, approach to health awareness. This app analyzes user data, including stress levels, exercise habits, diet, and sleep patterns, to predict the user’s lifespan. It then presents the user with an image displaying their remaining years, accompanied by a skull graphic.
while the name might potentially be alarming, the app also offers features designed to promote better health. These include reminders to take vitamins or supplements, suggestions for fitness activities, and recommendations for blood tests and disease screenings. It also allows users to consult on health matters, create long-term health plans, and store medical records.
User Feedback: Awakening to Health Through “Mortality”
Despite its morbid name, some users have found the “Death Clock” app to be beneficial. One user reported that the app helped them improve their overall quality of life, not just in one specific area of health. The user stated that the app’s focus on “death” served as a powerful wake-up call, motivating them to make positive changes.
While AI-powered health apps offer numerous benefits, it’s also important to be mindful of their data consumption. A recent report by international eSIM provider “holafly” revealed a list of the top 20 most data-hungry mobile apps. many of these apps are commonly used,highlighting the need for users to be aware of their data usage and take steps to manage it effectively.
For example, some apps can consume significant amounts of data in a short period. Users are advised to monitor their data usage and adjust settings to minimize consumption, especially when using mobile data.
Conclusion: AI’s Transformative Role in Healthcare
AI is poised to revolutionize healthcare, offering innovative solutions to improve diagnostics, personalize treatment, and promote overall well-being. From maternal ultrasound to mental health support, AI’s applications are vast and continuously evolving. As AI technology advances, it has the potential to transform healthcare delivery and improve the lives of individuals worldwide.
Okay,I’ve reviewed the two articles you provided about Gen Z’s changing facts-seeking habits. Based on the content, here’s a breakdown of missing information and potential research questions that would enrich the understanding of this trend:
I. Missing Information & Research Questions
specificity of AI Chatbot Usage: What specific AI chatbots are Gen Z using moast often? Is it primarily chatgpt, or other platforms like Bard, or more niche AI assistants incorporated into specific apps? What are the common use cases (e.g., research for school, quick fact-checking, creative brainstorming)?
Research Questions:
What are the top 3-5 AI chatbots used by Gen Z for information gathering?
What tasks are Gen Z primarily using AI chatbots for when seeking information (e.g., research, summaries, explanations, creative content)?
how does gen Z evaluate the reliability of information obtained from AI chatbots?
What are the perceived advantages and disadvantages of using AI chatbots compared to traditional search engines like Google?
Deeper Dive into “Niche Communities”: The first article mentions “niche communities.” What kinds of communities are these? Are they forum-based (e.g., Reddit subreddits), Discord servers, private social media groups, or something else? What topics drive engagement in these communities?
Research Questions:
What types of niche online communities are popular among Gen Z for information sharing and gathering?
What are the key characteristics that make these niche communities appealing to Gen Z (e.g., authenticity, shared interests, lack of algorithmic filtering)?
How does participation in niche communities influence Gen Z’s perspectives and beliefs on specific topics?
TikTok Usage for information: The articles mention TikTok. How are they using TikTok for information specifically? Are they searching for specific topics using hashtags,relying on the “For You” page algorithm to surface relevant content,or following particular creators? What types of information are best suited to this format?
Research Questions:
What specific types of information is Gen Z seeking on TikTok (e.g., news, product reviews, “life hacks,” educational content)?
How does the short-form video format of TikTok influence Gen Z’s information processing and retention?
What criteria does Gen Z use to assess the credibility of information presented on TikTok?
How do influencers and creators shape Gen Z’s understanding of complex issues on TikTok?
Reasons for distrust in Google (Beyond Ads): The second article mentions concerns about Google’s search results being dominated by ads. Are there other reasons for distrust? Are they concerned about data privacy, algorithmic bias, or the quality of organic search results?
Research Questions:
What are the primary drivers of Gen Z’s declining trust in Google as a reliable source of information?
How does Gen Z’s understanding of Google’s business model (i.e., advertising) impact their perception of the platform’s objectivity?
Does Gen Z perceive alternative search engines or information platforms as more trustworthy than Google? If so, why?
Impact of “Echo Chambers”: The second article mentions “echo chambers.” How does this phenomenon specifically affect Gen Z? Are they aware of it? What strategies, if any, do they use to avoid being trapped in echo chambers?
Research questions:
To what extent is Gen Z aware of the potential for echo chambers on social media and other online platforms?
How does Gen Z actively seek out diverse perspectives and challenge their own beliefs in online environments?
What are the psychological and social consequences of echo chamber exposure for Gen Z?
Does Gen Z believe that echo chambers contribute to societal polarization and division?
Verification Methods: How are the Gen Z-ers verifying the information they get — regardless of platform? Are they cross-referencing sources, checking for bias, looking at the author’s credentials, or using other fact-checking methods?
Research Questions:
What fact-checking strategies does Gen Z employ to evaluate the credibility of information obtained online?
How does Gen Z differentiate between reliable and unreliable sources of information?
To what extent does Gen Z rely on traditional fact-checking organizations or “expert” opinions when assessing information?
How does the speed and convenience of information access on platforms like TikTok and AI chatbots impact Gen Z’s willingness to engage in thorough fact-checking?
Demographic Differences: Does this trend vary based on education level, socioeconomic status, geographic location, or other demographic factors within Gen Z?
Research Questions:
Are there meaningful differences in information-seeking habits among different subgroups within Gen Z (e.g., based on income, education, ethnicity)?
Do Gen Z individuals in different geographic regions exhibit different preferences for online platforms and information sources?
How does access to technology and digital literacy influence Gen Z’s ability to navigate the evolving information landscape?
Long-Term Implications: What are the potential long-term consequences of this shift for education, democracy, and societal discourse?
Research Questions:
How will the changing information-seeking habits of Gen Z impact traditional educational institutions and teaching methods?
What are the implications of Gen Z’s reliance on personalized information feeds and AI-generated content for democratic participation and civic engagement?
How can educators, policymakers, and tech companies promote media literacy and critical thinking skills among Gen Z in the digital age?
II. Keywords for Internet Research
To find information addressing these missing pieces, use the following keywords in your research:
Gen Z information seeking
Gen Z AI chatbot usage
Gen Z TikTok information
Gen Z online communities
Gen Z trust in media
Gen Z digital literacy
Gen Z echo chambers
AI chatbot fact-checking
TikTok credibility
Social media echo chambers
III.Reputable Sources
Focus on research from:
Pew Research Center
Common Sense Media
Academic journals (use Google Scholar or university library databases)
Nielsen
Statista
Reports from reputable marketing and advertising agencies (e.g., Wunderman Thompson, Deloitte)
Expert interviews (look for quotes from academics or researchers in news articles)
University research centers focused on media and technology
By exploring these questions and using these keywords, your research will provide a much richer and nuanced understanding of gen Z’s changing relationship with information.Good luck!
