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Fake news dataset

Detect and prevent the dissemination of false information.

  • Available as a custom dataset request
  • Get data from major social media and news websites
  • 100% compliant scraping
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Fake news dataset
CONFIADO POR 20,000+ CLIENTES EN TODO EL MUNDO
CONFIADO POR 20,000+ CLIENTES EN TODO EL MUNDO
                              {
  "type": "object",
  "fields": {
    "news_records": {
      "type": "array",
      "active": true,
      "items": {
        "type": "object",
        "fields": {
          "article_id": {
            "type": "text",
            "active": true,
            "sample_value": "FN12345"
          },
          "title": {
            "type": "text",
            "active": true,
            "sample_value": "Shocking Discovery in Ancient Pyramid"
          },
          "author": {
            "type": "text",
            "active": true,
            "sample_value": "John Doe"
          },
          "publication_date": {
            "type": "date",
            "active": true,
            "sample_value": "2023-10-01"
          },
          "source_name": {
            "type": "text",
            "active": true,
            "sample_value": "Unreliable News Network"
          },
          "source_url": {
            "type": "url",
            "active": true,
            "sample_value": "https://unreliablenews.com/article123"
          },
          "source_reliability_score": {
            "type": "number",
            "active": true,
            "sample_value": 2.3
          },
          "content": {
            "type": "text",
            "active": true,
            "sample_value": "An ancient pyramid reveals a shocking secret..."
          },
          "credibility_rating": {
            "type": "number",
            "active": true,
            "sample_value": 1.5
          },
          "fake_news_score": {
            "type": "number",
            "active": true,
            "sample_value": 4.8
          },
          "fact_checked": {
            "type": "boolean",
            "active": true,
            "sample_value": true
          },
          "fact_check_url": {
            "type": "url",
            "active": true,
            "sample_value": "https://factchecker.org/fake-news/shocking-discovery"
          },
          "tags": {
            "type": "array",
            "active": true,
            "items": {
              "type": "text",
              "sample_value": "conspiracy"
            }
          },
          "comments": {
            "type": "array",
            "active": true,
            "items": {
              "type": "object",
              "fields": {
                "comment_id": {
                  "type": "text",
                  "active": true,
                  "sample_value": "CMT001"
                },
                "user": {
                  "type": "text",
                  "active": true,
                  "sample_value": "JaneSmith123"
                },
                "comment_text": {
                  "type": "text",
                  "active": true,
                  "sample_value": "This sounds too strange to be true!"
                },
                "sentiment_score": {
                  "type": "number",
                  "active": true,
                  "sample_value": -0.7
                },
                "date": {
                  "type": "date",
                  "active": true,
                  "sample_value": "2023-10-02"
                }
              }
            }
          }
        }
      }
    },
    "url": {
      "type": "url",
      "required": true,
      "active": true,
      "sample_value": "https://example.com/fake_news_data"
    }
  }
}

Fake news dataset sample

Choose from fully managed or self-managed fake news datasets. Fully managed datasets provide a hands-off experience with data maintained by our partners, while self-managed datasets allow you to set up and customize data collection and validation rules. The fake news data points may include article title, author, publication date, source reliability, content credibility rating, and more.
THE PROCESS

Automated dataset creation platform

Streamline your data-collection process so you can focus on what matters.

  1. Initial setup

    Add the URLs of your target website.

  2. Sample creation

    Get AI-generated schema and sample. Set up validation rules.

  3. Proof of concept

    The scraper is built based on schema and validation rules.

  4. Data collection & delivery

    Data is collected and delivered.

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Custom Dataset Pricing

CUSTOM DATASET
Subscription
Starting from
$300/month
One time
Starting from
$1,000
Proof of Concept
One time
$500
  • AI-Generated schema & sample
  • Control over data validation
  • Real-time product quantity est.
  • Daily, Weekly, Monthly, Custom
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Fake news datasets tailored to your needs

Get easy to use, well-structured datasets for any use case

Suscripción

Diferentes formatos de salida de archivos

Conjuntos de datos en formato JSON, ndJSON, CSV o Excel

Múltiples opciones de entrega

Datos escalables

Escalar sin preocuparse por la infraestructura, servidores proxy o bloqueos

Campos de salida personalizados

Defina campos de salida personalizados para satisfacer requisitos empresariales específicos

Mantenimiento del código

Escalado de datos

Definición de servidores para gestionar grandes cantidades de solicitudes de datos

Soporte 24/7

Gestión de su recopilación de datos por un gestor de cuenta dedicado

Garantía de calidad de los datos

Garantice la fiabilidad y precisión de los datos para una mejor toma de decisiones

Get structured and reliable Fake news data

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Nosotros le proporcionaremos los datos mientras usted se centra en el resto

Alto volumen de datos web

Con nuestras capacidades de desbloqueo y rotación de IP las 24 horas del día, garantizamos el acceso a todos los puntos de datos de un sitio web

Datos para uso inmediato

Cada aspecto del proceso de recopilación de datos se valida exhaustivamente como parte de nuestro sólido proceso de validación de datos

Flujo de datos sin fisuras

Cree programaciones personalizadas para automatizar la entrega de datos y vea cómo los datos fluyen sin problemas hacia su almacenamiento

How companies use Fake news datasets

Monitor publications

Verify the authenticity of news articles by analyzing specific data points that could potentially indicate on the validity of the article. Datapoints could include: source, date and time of publication and more.
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Fake news detection

Machine learning

Media companies can train their machine learning model using fake news datasets. Data points such as article text, headlines, author, or publication sources helps the ML detect and remove false information automatically, ensuring quality and credibility of their content.
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Fake news dataset for machine learning

Government and law enforcement

In the fight against disinformation and its negative effects on society, fake news datasets provide government agencies and law enforcement with a vital tool for tracking and monitoring false information.
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fake news dataset for law enforcement
Trustpilot

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