Technology: Exploring AI Tools 💻

 

Introduction

For this assignment, I used an AI tool—ChatGPT—to generate a 500-word essay on the impact of the internet on traditional media. The purpose of this blog is to showcase that AI-generated content, analyze its accuracy and limitations, reflect on the ethical issues involved in using AI in academic settings, and consider how AI tools might shape the future of education. All AI-generated material is quoted directly.

AI-Generated Essay

“The internet has had a profound and transformative impact on traditional media across the globe. With the rise of digital technology and the proliferation of online platforms, traditional media outlets such as newspapers, magazines, radio, and television have had to adapt or risk becoming obsolete. One of the most significant changes has been the shift from print-based journalism to digital news consumption. As online news sources have become more convenient, immediate, and accessible, many consumers have migrated away from traditional newspapers and magazines. This transition has led to declining print subscriptions, shrinking newsroom staff, and reduced advertising revenue for traditional outlets.                                                                                                                                            

Another major impact of the internet is the democratization of information. In the past, traditional media organizations acted as gatekeepers, controlling which stories were published and when. The internet has disrupted this model by giving individuals the ability to produce and share content instantly through blogs, social media platforms, and video-sharing websites. This shift has expanded the diversity of available information but has also raised concerns about misinformation and reduced editorial oversight. With fewer barriers to entry, both credible journalists and unverified sources can publish content, making it more challenging for audiences to distinguish between factual reporting and misleading information.

Furthermore, the rise of streaming platforms has reshaped the entertainment side of traditional media. Services such as Netflix, Hulu, and YouTube have changed how audiences engage with television and film. Instead of waiting for scheduled broadcast times, viewers can now access content on demand, creating a more personalized media experience. This shift has pressured traditional television networks to adopt hybrid models that include streaming apps and digital content.

Advertising has also undergone a significant transformation. Online advertising allows companies to target users more precisely based on their browsing habits, interests, and demographics. As a result, many advertisers have shifted their budgets from print and broadcast media to digital platforms. This change has further reduced revenue streams for traditional media companies and forced them to rethink their business strategies.

Overall, the internet’s impact on traditional media has been multifaceted. While it has increased access to information, encouraged innovation, and empowered new voices, it has also challenged the sustainability and authority of legacy media institutions. As the digital landscape continues to evolve, traditional media organizations must continue adapting to remain relevant in a rapidly changing environment.” (OpenAI, 2025)

AI-Provided Sources

  1. Pew Research Center – Digital News Fact Sheet

  2. Statista – Global newspaper revenue decline

  3. Reuters Institute Digital News Report

My Thoughts and Take-a-Aways

After reading the AI-generated essay and looking up the sources it provided, I noticed several important strengths and weaknesses in how AI creates academic content. First, the three sources that the AI listed are well-known organizations that actually do publish research about digital news trends. Pew Research Center and the Reuters Institute are widely trusted in journalism and media studies, and Statista regularly tracks industry revenue data. However, the AI did not give specific publication years, article titles, or direct links. When I searched for the sources, I found that each organization does publish material related to the topic, but not necessarily the exact statistics or claims implied by the AI. This shows that while AI can identify relevant organizations, it does not always provide complete or verifiable citations unless specifically instructed.

Would I turn in the AI-generated essay as it is for a course assignment? Absolutely not. Even though the essay is well-written and covers major ideas about how the internet disrupted traditional media, it is still too general, lacks specific evidence, and does not include direct citations. On top of that, turning in work written entirely by AI would violate academic integrity policies. Submitting AI-generated content is considered a form of plagiarism because it represents someone else’s writing as your own—especially if the student copies it without attribution. Even when AI is cited correctly, professors typically expect students to      produce original thought rather than rely on generated text.

This assignment helped me understand something important: AI is still inconsistent at providing accurate sources. It can point you in the right direction, but it often invents citations, mixes up details, or leaves out essential information such as authors, titles, and dates. Students must double-check every source themselves, because relying on AI for citations alone can lead to errors that hurt credibility or academic standing.

As AI becomes more common in education, universities and professors are going to have to respond with clear policies. Some instructors may ban AI-generated writing completely, while others may allow it with proper attribution. In my view, the best approach is for educators to teach students how to use AI responsibly rather than pretend it doesn’t exist. AI can be a helpful brainstorming tool, a writing assistant, or a way to simplify complex readings—but it should never replace the student’s own critical thinking or personal voice.

Looking to the future, AI will definitely impact education even more deeply. Personalized tutoring, adaptive learning platforms, AI-generated study guides, and automated feedback may become the norm. Students will need to develop strong digital literacy skills to evaluate what is reliable and what is not. Professors will need to redesign assignments so that meaningful learning happens through reflection, application, and synthesis—not just producing text.

This assignment reinforced that AI is powerful but imperfect. It can help us learn, but it cannot replace genuine understanding, human reasoning, or academic honesty.

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