1. COMPETITION-SPECIFIC TERMS

1. COMPETITION TITLE
Fake News Detection

2. COMPETITION SPONSOR
Hosted by [Tên bạn hoặc nhóm/nghiên cứu/lớp]

3. COMPETITION SPONSOR ADDRESS
[Trường đại học/Viện nghiên cứu hoặc ghi "N/A" nếu cá nhân]

4. COMPETITION WEBSITE
https://www.kaggle.com/competitions/fake-news-detection

5. TOTAL PRIZES AVAILABLE
This is a practice/learning competition. No monetary prize will be awarded.
Winners will receive recognition on the leaderboard.

6. WINNER LICENSE TYPE
Non-Exclusive. Winners grant the right to share their solution for educational and research purposes.

7. DATA ACCESS AND USE
Competition Use and Non-Commercial Research only. Dataset is provided for training and evaluation within this competition.

2. COMPETITION-SPECIFIC RULES

1. TEAM LIMITS

Maximum team size: 5 members.

Team mergers allowed until the team merger deadline.

2. SUBMISSION LIMITS

Maximum 5 submissions per day.

Up to 2 final submissions can be selected for judging.

3. COMPETITION TIMELINE

Dates (Start Date, End Date, Team Merger Deadline) are shown on the Timeline tab.

4. COMPETITION DATA

Data can only be used for this competition and non-commercial research purposes.

Redistribution of the dataset outside Kaggle is not allowed.

5. WINNER LICENSE

Winning solutions must provide code and methodology description.

Code should be reproducible and include training + inference steps.

6. EXTERNAL DATA AND TOOLS

You may use external datasets and tools if they are publicly available and free to all participants.

7. ELIGIBILITY

Open to all Kaggle users.

No cash prizes, only leaderboard recognition.