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Content Moderation on the Video

Content moderation on the video hosting platform enabled a 99% reduction in the influx of prohibited content

Industry and use case:

Education and Entertainment

Data:

Videos

Project duration:

Ongoing support

Our Challenge:

The video hosting platform approached us with tasks related to moderating uploaded content based on internal rules and 48 video criteria. Additionally, the client sought to develop a system to enhance automatic moderation

Key to the client were the SLA indicators (figures varied depending on video duration) and ensuring the highest moderation quality to prevent prohibited content from being publicly available on the platform. On average, we process around 1,500 hours of content daily

Our Solution:

For the project, we assembled a team of 200 individuals and 10 managers. Collaborating with the client, we formulated a toolset enabling swift content review upon moderation. Alongside video assessment, the team curated prohibited content for further training and automation of the moderation system

Outcomes:

  • We process around 45,000 hours of video content per month, meeting SLA standards
  • The influx of prohibited content decreased by 99%
  • We established the toolset within 21 days and have provided ongoing support for over 5 months

Stages of work

  • Application

    /01
    Leave a request on the website for a free consultation with an expert. Th e acco unt manager will guide you on the services, timelines, and price
  • Free pilot

    /02
    We will conduct a test pilot project for you and provide a golden set, based on which we will determine the final technical requirements and approve project metrics
  • Agreement

    /03
    We prepare a contract and all necessary documentation upon the request of your accountants and lawyers
  • Workflow customization

    /04
    We form a pool of suitable tools and assign an experienced manager who will be in touch with you regarding all project details
  • Quality control

    /05
    Data uploads for verification are done iteratively, allowing your team to review and approve collected/annotated data
  • Post-payment

    /06
    You pay for the work after receiving the data in agreed quality and quantity

Timeline

  • 24 hours
    Application
  • 24 hours
    Consultation
  • 1 to 3 days
    Pilot
  • 1 to 5 days
    Conducting a pilot
  • 1 day to several years
    Carrying out work on the project
  • 1 to 5 days
    Quality control
You pay for the work after you have received the data
in the established quality and quantity

Why
Training Data

  • Quality Assurance:
  • Enhanced Data Accuracy
  • Consistency in Labels
  • Reliable Ground Truth
  • Mitigation of Annotation Biases
  • Cost and Time Efficiency
  • Data Security and Confidentiality:
  • GDPR Compliance
  • Non-disclosure agreement
  • Data Encryption
  • Multiple data storage options
  • Access Controls and Authentication
  • Expert Team:
  • 6 years in industry
  • 35 top project managers
  • 40+ languages
  • 100+ countries
  • 250k+ assessors
  • Flexible and Scalable Solutions:
  • 24/7 availability of customer service
  • 100% post payment
  • $550 minimum check
  • Variable Workload
  • Customized Solutions
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Tell us about your project!

    Choose interested services:

    Select an option

    • Data labeling

    • Data collection

    • Datasets

    • Human Moderation

    • Other (describe below)