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Fake News Detection Starter Kit
Entertainment & Media Consumption
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Free
About
This dataset is designed for individuals seeking practical experience with Artificial Neural Networks, particularly for tasks related to news authenticity analysis. It comprises news articles, each labelled as either real or fake, making it an excellent resource for developing models to discern truth in media. The dataset provides a clear foundation for understanding how to process text data for classification problems.
Columns
- Unique Id of a News: A distinct identifier for each news entry.
- title: The headline or title of the news article.
- text: The main body or content of the news article.
- label: An indicator specifying whether the news is real or fake.
Distribution
The dataset contains 4 columns and 6,335 rows, representing 6,335 individual news articles. The label distribution shows an even split of 50% real news and 50% fake news, ensuring a balanced dataset for training machine learning models. Data files are typically in CSV format.
Usage
This dataset is ideal for a range of applications, including:
- Developing fake news detection systems.
- Building and experimenting with Artificial Neural Networks for text classification.
- Conducting natural language processing (NLP) research on news veracity.
- Creating tools for media monitoring and truth discernment.
- Educational purposes, allowing beginners to gain hands-on experience with AI models.
Coverage
The dataset's coverage is global, implying that the news articles are not restricted to any specific geographic region. Information regarding the specific time range or demographic scope of the news content is not detailed, but it is listed as version 1.0 and available from 24/06/2025.
License
CC0
Who Can Use It
This dataset is particularly suitable for:
- Beginners in machine learning and artificial intelligence looking for practical projects.
- Data scientists and researchers focused on natural language processing and text analytics.
- Academics and students studying media authenticity and misinformation.
- Developers building AI models for news verification.
Dataset Name Suggestions
- News Authenticity Analysis Dataset
- Fake News Detection Starter Kit
- Truth Discernment News Corpus
- AI News Verification Dataset
- Real or Fake News Collection
Attributes
Original Data Source: Fake_news
QUALITY