Skip to content
Logo for Remixing Open Textbooks through an Equity Lens (ROTEL)

Primary Navigation

  • Home
  • Read
  • Sign in

Want to create or adapt books like this? Learn more about how Pressbooks supports open publishing practices.

Book Contents Navigation

Contents
  1. Land Acknowledgement Statement for the ROTEL Grant

  2. How to Use This Book

  3. Project Rationale

  4. Introduction

  5. I. Why Care About Data & Society?
    1. Introduction

    2. A Constitutional Right to Privacy?

    3. Little Brother

    4. Becoming Data

    5. A/B and Multivariate Testing

    6. Big Data

    7. An Open Question

    8. Wrap Up

    9. References

  6. II. Generative AI in the Classroom and Workspace
    1. Generative AI Pre-Test

    2. How Generative AI Works

    3. Differences Between ChatGPT 3 and 4

    4. Links to Tools

    5. Prompt-Writing Tips

    6. AI Career Research

    7. Hands-on Project

    8. Discussion or Reflection Questions

    9. Language, Diversity, Inclusivity, and ChaptGPT

    10. Post-Test and Survey

    11. Wrap Up

    12. Further Reading

  7. III. Case Study: "It's Perfect, Four Stars!"
    1. Introduction

    2. Human Commerce

    3. Living and Dying by the Algorithms

    4. The “Fault” in Our Stars

    5. Who Rates the Rater?

    6. The Shift to “Objective” Stars

    7. Who Are We Rating?

    8. Conclusion

    9. Wrap Up

    10. References

  8. IV. Media & Data Literacy
    1. Introduction

    2. Media Literacy

    3. Challenges with Media Literacy

    4. Data Literacy

    5. Similarities

    6. Understanding Data Literacy Skills

    7. Media Literacy & Data Literacy Skills

    8. Conclusion

    9. Wrap Up

    10. References

  9. V. The American Motion Picture Industry and Big Data
    1. Introduction

    2. Predicting Box-Office Success in the Film Industry

    3. Big Data in the Film Industry

    4. How Data Has Been Used in the Film Industry

    5. Into the Future

    6. The Advantages of Big Data in the Film Industry

    7. The Limitations of Big Data in the Film Industry

    8. Outlook

    9. Conclusion

    10. Wrap Up

    11. References

  10. VI. Data in Sports Marketing
    1. Introduction

    2. Understanding Big Data

    3. Sources of Data in Sports Marketing

    4. Data and Target Audience

    5. Data Used for Revenue

    6. Data Used for Campaigns

    7. The Future of Sports Marketing

    8. Conclusion

    9. Wrap Up

    10. References

  11. VII. Data in Public Relations, Social Media, and Advertising
    1. Key Essentials

    2. Big Data

    3. Wrap Up

    4. References

  12. VIII. Machine Learning in the Development of Video Games
    1. Introduction

    2. Types of Learning

    3. Modern Applications of AI in Games

    4. Cheat Detection

    5. Conclusion

    6. Wrap Up

    7. References

  13. IX. The Use of Matchmaking Data for Competitive Online Multiplayer Gaming
    1. Introduction

    2. The Matchmaking Process

    3. Analyzing Other Approaches

    4. Conclusion

    5. Wrap Up

    6. References

  14. X. Video Games, Microstransactions, and Data
    1. Introduction

    2. How Common are Microstransactions?

    3. A Brief History

    4. How Quickly Can it Add Up?

    5. Impact of Microstransactions

    6. Conclusion

    7. Wrap Up

    8. References

  15. XI. SOPHIA Discussion Guides
    1. Ethics of Search Engines

    2. COVID-19: Surveillance and Personal Privacy

    3. AI & Ethics: A Discussion

    4. The Ethics of Fake News

    5. The Ethics of Social Media Use By Children

  16. XII. Data Feminism: The Numbers Don’t Speak for Themselves
    1. Principle: Consider Context

    2. Wrap Up

  17. XIII. Algorithms in the Age of Capitalism
    1. What Is an Algorithm?

    2. Complications with Algorithmic Systems

    3. What is Algorithmic Accountability?

    4. Wrap Up

    5. References

  18. XIV. Recommended Reading (and Listening/Viewing)
  19. Original Contributors

  20. Grant Information

  21. Version History

The Data Renaissance: Analyzing the Disciplinary Effects of Big Data, Artificial Intelligence, and Beyond [First Edition]

Links to Tools

Spend some time exploring a few of the generative AI tools below:

  • Open AI: ChatGPT: https://chat.openai.com/

  • Google: Gemini: https://bard.google.com/

  • Adobe: Firefly: https://firefly.adobe.com/

  • DALL·E 2: https://labs.openai.com/

Previous/next navigation

Previous: Differences Between ChatGPT 3 and 4
Next: Prompt-Writing Tips

License

Icon for the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

The Data Renaissance: Analyzing the Disciplinary Effects of Big Data, Artificial Intelligence, and Beyond [First Edition] Copyright © 2024 by J.J. Sylvia, IV is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted.

Share This Book

Share on X Share on LinkedIn Share via Email
Pressbooks

Powered by Pressbooks

  • Pressbooks User Guide
  • |Pressbooks Directory
  • |Contact
Pressbooks on YouTube Pressbooks on LinkedIn