Haberler.cloud is an independent news analysis platform that uses artificial intelligence and natural language processing to evaluate the credibility, bias, and quality of news articles. We believe that in today's complex media landscape, readers deserve tools that help them understand and critically evaluate the news they consume.

Our Mission

To promote media literacy and informed citizenship by providing transparent, objective analysis of news content using cutting-edge AI technology.

Why We Built This Platform

In an era of information overload, distinguishing reliable journalism from misleading content has become increasingly challenging. Misinformation spreads rapidly, political polarization affects news coverage, and readers often lack the time or tools to critically evaluate every article they encounter.

Haberler.cloud was created to address these challenges. Our platform automatically analyzes news articles using advanced machine learning algorithms, providing readers with objective metrics about:

  • Credibility: How reliable and well-sourced is the article?
  • Political Bias: Does the article lean left, right, or center?
  • Sentiment: What is the emotional tone of the content?
  • Quality: How readable and well-written is the article?
  • Manipulation: Does the article use propaganda techniques or logical fallacies?

Our Core Values

Transparency

We openly share our methodology and algorithms. Users can understand exactly how we analyze content.

Objectivity

Our AI systems are designed to be politically neutral and evaluate content based on measurable criteria.

Independence

We operate independently from news organizations and political entities to maintain unbiased analysis.

Accessibility

We believe media literacy tools should be freely available to everyone, regardless of technical expertise.

Our Technology

Haberler.cloud uses state-of-the-art natural language processing and machine learning technologies to analyze news content. Our analysis pipeline includes 11 specialized analyzers that examine different aspects of each article:

BERT Transformers spaCy NLP TextBlob Named Entity Recognition Sentiment Analysis Readability Scoring Propaganda Detection Fallacy Detection

Platform Statistics

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Articles Analyzed
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News Sources
11
NLP Analyzers
24/7
Automated Monitoring

Contact Us

We welcome feedback, questions, and collaboration opportunities. If you're a researcher, journalist, or developer interested in our work, please get in touch.

For technical inquiries and API access, please visit our API Documentation.