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Chapter 5: Emerging Technologies and the Future of Netiquette

Emerging Technologies and the Future of Netiquette 🤖

Section titled “Emerging Technologies and the Future of Netiquette 🤖”

Verify first, share second, care always

The internet you’ll use in ten years will look different from today’s. AI can already write, draw, speak, and make video. Laws are being rewritten to keep up. New devices put screens in glasses and headsets. Some of this is thrilling, and some of it is confusing.

What doesn’t change is the core of this book: there is a real person on the other side, and your choices affect them. This final chapter applies that idea to the newest technology. You’ll learn how to use AI honestly, how fake media is made and spotted, how to check before you share, which laws protect you, and how to keep technology working for your well-being instead of against it.


generative AIgenerative AI: Artificial intelligence that creates new content, such as text, images, audio, or video, based on patterns learned from large amounts of existing data. creates new content (text, images, music, voices, video) by learning patterns from huge amounts of existing data. It powers chatbots, writing assistants, image generators, and the “suggested reply” buttons in many apps.

AI tools can summarize, brainstorm, translate, and draft quickly. But they don’t understand the world the way people do. They predict likely words or pixels, which means they can state false things confidently, invent sources that don’t exist, and repeat biases found in their training data. Treat AI output as a first draft from a helper who is sometimes wrong, never as a final answer.

Because generative AI learns from data made by people, it can pick up people’s unfair patterns. Ask an image tool to show “a scientist” or “a nurse,” and it may lean on stereotypes about who does those jobs. A writing tool might describe some groups of people less fairly than others. This doesn’t make AI useless, but it means you should read its output with a critical eye and notice who is included, who is left out, and whose voice it sounds like.

Most AI chatbots require users to be at least 13, and many require parent permission for teens. In school, use only the AI tools your school has approved, in the way your teacher allows. Your school’s acceptable use policy (Chapter 2) and your teacher’s instructions decide what counts as help and what counts as cheating. When AI is allowed:

  • Be honest about it. Say when and how you used AI, the same way you’d cite a source.
  • Check the facts. Verify anything important with a reliable source.
  • Keep your voice. The ideas and the final words should be yours.
  • Protect PII. Don’t type your full name, address, passwords, or other people’s private information into AI tools. Some tools store what you type and may use it to improve their systems.

AI also changes how people communicate with each other. Should you use AI to write a birthday message to a friend? An apology? A post pretending to be someone else? Generally, the more personal and emotional a message is, the more it matters that it comes from you. And using AI to imitate a real person without their permission crosses an ethical line, which leads to the next section.


5.2 — Deepfakes and Synthetic Media 🎬

Section titled “5.2 — Deepfakes and Synthetic Media 🎬”

synthetic mediasynthetic media: Images, video, audio, or text that is generated or heavily changed by AI rather than captured or written directly by a person. is content made or heavily changed by AI. Much of it is harmless or creative: animated characters, voice effects, special effects in movies. A deepfakedeepfake: Synthetic media that realistically makes a real person appear to say or do something they never said or did. is synthetic media that makes a real person appear to say or do something they never did.

Deepfakes are dangerous because people trust what they see and hear. They are used for two main kinds of deception:

  • Impersonation: pretending to be a real person to trick someone. A cloned voice of a family member asking for money, a fake video call from a “boss,” or a fake clip of a classmate.
  • Misinformation campaigns: spreading false content to change what many people believe, such as a fake video of a public figure or a made-up image of a disaster.

These aren’t hypothetical. In January 2024, New Hampshire voters received robocalls using an AI-generated imitation of President Biden’s voice, and the Federal Communications Commission then ruled that AI-generated voices in robocalls fall under existing restrictions. In 2024, police in Maryland charged a high school staff member with creating a fake AI audio clip of the school’s principal making offensive remarks. The clip spread widely and caused real harm to the principal and the school community before investigators showed it was fake.

When deepfakes become common, two problems grow at once. First, people are fooled by fakes. Second, people start doubting real evidence, and someone caught on a real recording can falsely claim “that’s AI.” Both make public conversation harder. That is why making a deepfake of a real person without consent, especially one that embarrasses or sexualizes them, is not a prank. It can devastate the target and, in many places, it is a crime.


misinformationmisinformation: False or misleading information shared without necessarily meaning to deceive. When false information is spread on purpose, it is often called disinformation. is false or misleading information, and it spreads fastest when it triggers strong emotions. You can’t stop all of it, but you can make sure it doesn’t spread through you.

Spotting AI-made media by eye is getting harder as tools improve, so treat these as clues, not proof:

  • Visual clues: odd hands or teeth, warped text or logos in the background, lighting that doesn’t match, earrings or glasses that change between frames.
  • Audio clues: flat emotion, odd pauses, breathing in the wrong places, a voice that doesn’t match the setting.
  • Context clues: no date or source, a dramatic claim no major outlet is reporting, an account that was created recently.

The strongest evidence comes from outside the image. Professional fact-checkers use lateral readinglateral reading: Checking a claim by leaving the original page and searching other trusted sources to see what they say about it.: instead of studying one page closely, they open new tabs and see what other trustworthy sources say about the claim and the account that posted it. Ask:

  1. Who made this, and can I find the original?
  2. What do reliable news organizations or fact-checkers say?
  3. Is there a provenance label? Some cameras and AI tools attach “Content Credentials,” a standard for recording where media came from, and some platforms label AI-generated content. A label helps, but a missing label doesn’t prove anything either way.
  4. Does it seem designed to make me angry or scared? That’s a reason to slow down.

Don’t share. If you’ve already shared something false, the honest move is to delete it and post a quick correction. That builds trust, and it’s good netiquette.


5.4 — Laws for a Changing Internet ⚖️

Section titled “5.4 — Laws for a Changing Internet ⚖️”

Netiquette is about choices, but some online behavior is also governed by law. Laws come from different levels of government, and each level covers different things.

Level Example What It Does
Federal Children’s Online Privacy Protection Act (COPPA) Requires parental consent before websites and apps collect personal information from children under 13
Federal Family Educational Rights and Privacy Act (FERPA) Protects the privacy of student education records
Federal Children’s Internet Protection Act (CIPA) Requires schools and libraries that receive certain federal internet funding to filter harmful content
Federal Computer Fraud and Abuse Act (CFAA) Makes unauthorized access to computers and accounts a crime
Federal TAKE IT DOWN Act (2025) Makes it a crime to publish private explicit images of a real person without consent, including AI-made fakes, and requires platforms to remove them quickly after a valid request
State Anti-bullying laws Every state has one, and most cover cyberbullying; they require schools to have policies
State Student data privacy laws (for example, California’s SOPIPA) Limit how education technology companies use student data
State School phone laws A growing number of states limit phone use during the school day
Local School district policies and AUPs Set rules for devices, accounts, phones, and discipline in your school

Federal laws set a floor that applies everywhere in the country. States often add stronger or more specific protections, which is why rules about student data, phones, or AI-made images can differ depending on where you live. Local school districts then turn all of that into the rules you see every day. When laws overlap, schools generally have to follow all of them.

Here’s an example of the levels working together. Suppose a student’s grades and attendance are stored in an online learning app. FERPA (federal) protects those education records. If the student lives in a state with a student data privacy law, that law may stop the app company from using the data for targeted advertising. The school district’s policies decide which apps teachers may use in the first place. Three levels of rules, one set of records.

Laws also change quickly in this area. Many states have passed laws about AI-generated images, voice cloning, and deepfakes in elections in just the last few years. Part of being a good digital citizen is noticing when the rules change.


5.5 — Digital Wellness and the Future of Netiquette 🌱

Section titled “5.5 — Digital Wellness and the Future of Netiquette 🌱”

Technology is designed to hold your attention. Infinite scroll, autoplay, streaks, and notifications are features built to keep you coming back. digital wellnessdigital wellness: Using technology in ways that support your physical, mental, and social health, including being intentional about what you do online and how long you spend. means making technology work for your health instead of against it.

  • Be intentional. Before you open an app, know why. “Check the homework post” is a purpose; “see what’s happening” can become an hour.
  • Turn off non-essential notifications. You choose when to check, not the app.
  • Protect sleep. Charge devices outside your bedroom and stop screens before bed.
  • Move and get outside. Balance screen time with activities that use your body.
  • Notice your mood. If an app leaves you anxious, jealous, or drained, change how you use it.
  • Talk to someone. If online life is making you feel bad, a parent, counselor, or teacher can help.

Virtual reality, augmented reality, and AI assistants bring new questions. In VR, personal space still matters; many platforms include personal boundary settings that keep other avatars from getting too close. Smart glasses with cameras raise the same consent questions as phone cameras, but they’re harder to notice. AI assistants that answer messages for you raise honesty questions. The specific rules will keep changing. The principles you’ve learned in this book (empathy, clarity, privacy, permission, honesty) will keep working.

A digital citizendigital citizen: A person who uses technology responsibly, respectfully, and safely, and who contributes positively to online communities. isn’t just someone who avoids trouble online. It’s someone who makes their communities better: the teammate who welcomes new players, the friend who checks a story before sharing it, the student who reports a fake and supports the person it targeted. That’s the future of netiquette, and it’s already in your hands.


Chapter 5 Activity: Lab: Real or Synthetic? 🔬

Section titled “Chapter 5 Activity: Lab: Real or Synthetic? 🔬”

Your Mission: Test how well your class can spot synthetic media, then build tools to help others check before they share. Use only the teacher-provided examples and school-approved tools.

Predict what percentage of teacher-provided images, audio clips, and headlines your group will correctly label as real or AI-generated. Record your prediction.

For each example, record your label (real or synthetic), your confidence from 1 to 5, and the clues you used (visual, audio, context, source). Then your teacher reveals the answers. Calculate your accuracy and compare it with your prediction.

As a class, tally which clues led to correct answers and which led people astray. Was checking the source more reliable than studying the pixels? Write a two-sentence conclusion.

Create a one-page “Check Before You Share” guide for your school. Include three media clues, three lateral reading steps, one law from 5.4 that protects people from harmful fakes, and three digital wellness habits. Present it to the class or a younger grade.


  • I can explain what generative AI can and can’t do
  • I know how to use AI honestly and only with school-approved tools
  • I can explain how deepfakes enable impersonation and misinformation
  • I can describe the social and ethical effects of AI-generated content
  • I can use media clues and lateral reading to evaluate content
  • I can compare federal, state, and local laws about privacy and online safety
  • I can name habits that support digital wellness
  • I can explain what makes someone a positive digital citizen