📚 Topic Summary
Cyberbullying is bullying that takes place over digital devices like cell phones, computers, and tablets. It can occur via SMS, text, apps, social media, forums, or gaming, where people can view, participate in, or share content. Cyberbullying includes sending, posting, or sharing negative, harmful, false, or mean content about someone else. Data science and AI can be used to detect patterns in online behavior, identify potential cyberbullying incidents, and develop strategies for prevention and intervention. These worksheets will explore these concepts in the context of high school data science and AI basics.
🧠 Part A: Vocabulary
Match the following terms with their definitions:
| Term |
Definition |
| 1. Cyberbullying |
A. Using data analysis to identify patterns of online harassment. |
| 2. Algorithm |
B. Bullying that takes place over digital devices. |
| 3. Data Analysis |
C. A set of rules to be followed in calculations or other problem-solving operations. |
| 4. Machine Learning |
D. The use of computer algorithms that improve automatically through experience. |
| 5. Sentiment Analysis |
E. The process of determining the emotional tone behind a series of words, used to detect negativity online. |
📝 Part B: Fill in the Blanks
Fill in the missing words in the following paragraph:
__________ is a form of bullying that occurs online. _________ can be used to detect cyberbullying by analyzing text and identifying negative _________. _________ models can learn from data to predict and prevent cyberbullying. Understanding these concepts is crucial for promoting a safer online __________.
💡 Part C: Critical Thinking
How can AI and data science be used ethically to combat cyberbullying without infringing on individuals' privacy or freedom of expression?