Content Moderation is a fundamental component of social media management in which a moderator reviews posts, comments and other content inputted by platform users. Moderators review content within the established guidelines and rules for the platform. This process is pivotal is maintaining a platform in which users can express their thoughts safely without the presence of inappropriate content.
User generated content (UCG) is essential to building brand recognition and trust. Effectively moderating user generated content (UCG) is vital in building, managing and retaining the brand credibility of a platform.
Generally, freedom of expression should be a core characteristic of any social platform. However, given the scale and influence of todays digital landscape, the breadth of demographics which engage with social platforms and the potential for serious psychological harm posed by morbid content or misinformation, moderation has quickly become a requisite for the sustainability of any platform.
Manual pre-moderation is the process of setting up screens or touchpoints which all content will be subjected to before posting. Moderators will judge the content based on predetermined guidelines.
This process entails reviewing content after publication when, similarly, moderators will keep, edit, or remove content according to guidelines.
This refers to relying on users to report inappropriate platform content. This process is typically supported by a customer ticketing system and report buttons. This is effective as a supplement to other moderation methodologies.
In distributed moderation, reporting and the distribution order of content is decided predominantly by the platforms users. This method is structured by multiple user rating and voting systems, which serve as an algorithm for content placement.
Automated moderation is growing in prevalence due to accelerated development in the AI and automation industry. Automated filters and tools are extensively more sophisticated and intuitive than prior years. Experienced moderators are required to optimize the efficacy of such filters and tools, deriving the greatest results from consistent monitoring and tuning.