The Digital Trust & Safety Partnership (DTSP) defines Content Moderation as a function within Trust and Safety, involving the review of user-generated content to address potential violations of digital service policies or laws. This includes the use of artificial intelligence like machine learning (ML) and large language models (LLMs) alongside human Content Moderators.
In essence, Content Moderators scrutinize content shared online, spanning textual and video formats across platforms like Instagram, TikTok, and Wikipedia. Their purview extends to user interactions within discussion forums like Reddit to platforms where messaging can occur such as in e-commerce spaces like Etsy. These are just a handful of examples of human moderation.
Across various industries, Content Moderators are employed to safeguard user communities and uphold the desired cultural ethos of the platform. Understanding the multifaceted responsibilities of content moderators is crucial, considering how users engage with content and each other. Bad actors exploit online platforms to sow distrust, emphasizing the necessity of Content Moderators in maintaining a positive online environment.
In the digital age, human intervention through content moderation is indispensable.
This webinar will highlight:
- Exploring Content Moderation: Content moderation involves overseeing user-generated content on digital platforms to ensure compliance with guidelines, legal standards, and ethical norms, crucial for maintaining a healthy online environment.
- How Human Moderation Functions: Human moderation, complementing automated tools, relies on skilled individuals who manually review content, offering a nuanced, context-aware approach vital for addressing evolving online behaviors.
- The Potential Consequences of Life without Content Moderation: A world without content moderation could lead to a chaotic digital landscape, fostering the unbridled spread of harmful content, eroding trust, stifling open dialogue, and jeopardizing user safety and societal well-being.