The need for established expertise
Organizations seeking to enter the fray – to gain the upper hand on content disseminated on their platforms – have reasonable questions: How do they protect their users? How do they protect their brands? How can companies verify that material they publish is trustworthy? What kind of guidelines should they devise to ensure the safety, credibility, and dependability of user-provided content? And how can they address the monumental task of applying those rules across a huge array of ads, reviews, news postings, discussion boards, and so on?
The fact is that they can't do it on their own. Few firms have the necessary skills, resources, or technology. One option is to turn to third-party trust and safety partners that have proven capabilities in policy setting, enforcement, and governance.
Not all methods of content moderation are equal. Those combining the work of human investigators with well-executed artificial intelligence (AI) and machine learning (ML), tend to be the most vigorous. Today, algorithms can identify published content that violates pre-determined set of rules or policies. But devising truly effective algorithms calls for a high level of expertise in AI and ML, given the immensity of the possible rules that need to be addressed and the constantly evolving nature of both UGC and objectionable content.