The future of content moderation: Strategies and tools for 2025 and beyond
Posted January 24, 2024As the digital landscape continues to change, it is more important than ever for brands to stay up-to-date on content moderation best practices.
To help take your content moderation strategy to the next level, read on to gain an in-depth look at how digital content is evolving, what technology is available to help, how new and existing regulations could impact operations and more.
Three reasons why content moderation is essential
- 1
New digital experiences will pose new challenges
Generative AI technology capable of rapidly producing high-quality text, images and videos, makes the creation of deceptive information easier and can amplify the potential for its rapid dissemination.
- 2
Exposure to toxic content impacts customer experience
45% of Americans said they quickly lose trust in a brand if exposed to toxic or fake UGC on its channels, and more than 40% said they would go so far as to disengage from a brand’s community after as little as one exposure.
- 3
Global regulations are continuously evolving
Governments worldwide are enacting laws to regulate UGC and safeguard user safety and well-being. These regulations vary by country, often imposing strict requirements and heavy fines for noncompliance.
AI: A key ingredient in content moderation success
With rising levels of UGC, content moderation has become a colossal task that cannot be achieved efficiently without the support of artificial intelligence.
See how brands are finding ways to capitalize on this technology to maintain a positive online customer experience.
Discover best practices for protecting the protectors
Hire for resiliency
Content moderation work can be challenging. Uncover what specific personality traits employers should be looking for when recruiting individuals for content moderator roles.
Take a holistic approach to well-being
A strategic approach to employee well-being is essential to developing a healthy and resilient content moderation team. See what characteristics make up an effective employee wellness program.
Leverage technology
Explore how brands are harnessing automated content filtering to support human moderators.
"Candidates need to know that the employer they choose will have their best interests in mind as a valued team member, and they will not be treated as just a number."Karen Munizregional director of talent acquisition, TELUS Digital
expert note
Compliance, trust and ethics
When reaching out to potential partners, look for enterprise-grade platforms, practices and policies. A key requirement is a deep commitment to data privacy and compliance with regulations like GDPR and SOC 2. The optimal partner should be a recognized leader in ethical AI practices, with proven processes for fraud prevention, contributor verification, platform security and data integrity.
Our team implements a multi-stage, zero-trust verification process that spans the entire data pipeline. Protocols include rigorous ID verification, anti-money laundering checks and facial recognition during contributor sourcing. Further, we require live video "selfies" to prevent fraud and flag high-risk individuals. During production, we continuously monitor expert identity, location and task accuracy with real-time event tracking and automated responses to ensure data quality and integrity. Further, our security architecture has built-in feedback loops that our sourcing team uses to refine data points and prevent any future fraudulent activity. This proactive strategy improves the quality of the data collected and reduces costs associated with fraud recovery.
headline
- contributor verification, platform security and data integrity.
- contributor verification, platform security and data integrity.contributor verification, platform security and data integrity.
- contributor verification, platform security and data integrity.contributor verification, platform security and data integrity.contributor verification, platform security and data integrity.
Compliance, trust and ethics
When reaching out to potential partners, look for enterprise-grade platforms, practices and policies. A key requirement is a deep commitment to data privacy and compliance with regulations like GDPR and SOC 2. The optimal partner should be a recognized leader in ethical AI practices, with proven processes for fraud prevention, contributor verification, platform security and data integrity.
