Disparate data and detection sources, tool fragmentation, information silos, inefficiencies
Manage « noisy » signals, like user reports
Suboptimal control, lack of transparency and insufficient robustness
Very manual decision making, leaving room to inconsistencies
Inconsistent execution of policies and terms of service
Fastest, cheapest, least risky path to compliance
Access best-in-class functionality
Drastically reduce inefficiencies, maximise productivity
Minimise your engineering time and cost
Achieve full visibility over, and control of, your moderation process
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It means that we develop our platform in such a way that it will always support our clients’ compliance with EU regulations, such as the DSA and TCO, as well as emerging regulations across the globe.
The end-to-end content moderation process starts with content being flagged to moderators, who then review it and can choose to take action (e.g., removing the content) or escalate it. Once action is taken, it is communicated to any internal and external stakeholder involved. Thereafter, the moderator closes the case and the moderation process ends.
The ability to scale content moderation is important when the volume and complexity of the notices start to grow. The usual response is to grow the content moderation team itself and expand AI/ML capability in order to automate the process and reduce the amount of human intervention. However, as the team grows it will require more sophisticated systems and tools, the need for seamless interaction with internal and external stakeholders becomes more critical, as does the need for a unified platform to provide the visibility needed to manage the overall process.
Social media platforms are often regulated by a company’s own Terms and Conditions (T&Cs) as well as any applicable legislation (e.g., for platforms operating in Europe, the Digital Services Act). You can keep your platform safe by monitoring activity, deploying proactive detection, and implementing user notices for breaches of your T&Cs or legal obligations.
Quality Assurance (QA) in content moderation is the process of evaluating whether a company is applying its moderation processes as intended, and adhering to its moderating procedures to a high degree of conformity. Following this quality control, if the evaluation is negative, QA usually involves putting in place measures to increase the quality. Besides being a best practice, QA is needed to demonstrate to the authorities that a company is applying its policies, controlling its processes and, where appropriate, executing improvement mechanisms.
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