Individual content is user-generated content (UGC), which includes media, posts, or comments shared by users on a platform. Actors are users or entities who are responsible for sharing content or for policy-violating behavior. Content moderation is the process of reviewing online user-generated content for compliance against a digital platform’s policies regarding what is and what is not allowed to be shared on their platform. The process of moderating content and enforcing policy is either done manually by people or through automation, or a combination of both, depending on the scale and maturity of the abuse and of a platform’s operations. Unlike pre-recorded content, live broadcasts happen in real time, which means you cannot rely solely on human review. To address this, most platforms use AI tools to monitor audio-to-text transcripts and visual frames simultaneously, flagging high-risk broadcasts for immediate human intervention.
This is to ensure that our AI avatars remain free from associations with specific topics that may not align with their intended use. This combination ensures both efficiency (AI handles large-scale content quickly) and accuracy (humans handle edge cases). A hybrid approach ensures efficiency while maintaining accuracy in complex moderation cases. Platforms must remove unauthorized use of copyrighted content to prevent legal disputes. Online harassment and bullying should be actively monitored and penalized to protect users.
As for visuals, image recognition powered by AI tools like Imagga offer a highly viable option for monitoring images, videos and live streams. Such solutions identify inappropriate imagery and have various options for controlling threshold levels and types of sensitive visuals. Keep reading to discover what content moderation is and how to leverage it effectively for your business.
And these 15,000 moderators have to moderate about 3 million posts every day. If user-generated content is important to your online platform, content moderation is critical to creating experiences that feel safe and secure—and is make-or-break for growing your user base. Your guidelines should also communicate your platform’s core values and principles. These values will serve as the foundation for your moderation policies and help users understand the reasoning behind the rules.
By fostering cross-disciplinary collaboration, they would contribute to the development of more robust, adaptable, and ethically sound moderation practices. A well-crafted prompt ensures that the model’s output aligns with the intended outcome, highlighting the prompt as a pivotal element in effective LLM interaction. Factors such as phrasing, specificity, and context within the prompt play a critical role in shaping the response.
Content moderation is the review and management of user-generated content (UGC) on online platforms or applications to ensure it adheres to community guidelines and legal requirements. It involves identifying and addressing harmful or inappropriate content, such as hate speech, misinformation, or illegal material. Content moderation, enforced by community managers and content moderators, maintains a safe and positive online environment for all users and ensures community guidelines and standards are respected, enhancing trust and safety. Digital platforms necessitate that content and moderation be done by a combination of AI and human review.
For example, in the early 2000s the rise of data science in business required close collaboration between domain experts and data specialists (Davenport and Patil, 2012). Similarly, the emergence of bioinformatics in the late 20th century necessitated collaboration between biologists and computer scientists before the field gave rise to specialized bioinformaticians (Mitra et al., 2022). Additionally, as discussed in Section 3.2, the process is highly sensitive to formatting and phrasing. Seemingly minor changes–such as using bullet points instead of paragraphs or altering punctuation–can significantly influence model outputs.
Scalable rules often use clear definitions, priority levels, and flexible guidelines so moderators can act quickly without losing fairness as your platform grows. In addition, keep a public changelog, so users know what’s changed, why, and how it will affect them. Also, maintain an internal changelog to help moderators apply the newest rules correctly across the platform. AI tools filter most UGC automatically, but human intervention is needed in uncertain or high-risk cases. It combines machine speed with human judgment, reducing mistakes while keeping moderation efficient even for large platforms.
Strict guidelines and stringent laws are essential to protect user data by organizations. At Tech Mahindra, we help protect user data for our clients no matter where it is collected, transported, processed, or retained within the scope of the applicable laws as well as regulatory requirements. Moderation work is performed in a monitored environment by qualified moderators using secure networks and equipment. While automated systems can do a lot to flag potentially offensive content, and disturbing posts, humans are still needed to make the final call on whether something should be removed. This is because automated systems can often make mistakes, and also because some decisions need human judgment. For example, a picture of a person in a bikini might be flagged as offensive by an automated system, but a human moderator would likely decide that it’s not actually violating any rules.
Every day, platforms and applications designed for user-generated content (UGC) get numerous uploads of text, audio, images, and video posts. The majority is benign and aligns with corporate policies, but some may be unsafe or breach legal standards. COPPA requires platforms directed at children under 13 to obtain verifiable parental consent before collecting personal data. It directly shapes content moderation rules around identifying, protecting, and restricting content for younger users. Section 230 of the Communications Decency Act shields US platforms from liability for user-generated content, but only when platforms moderate in good faith with clear, published policies. More specifically, Section 230(c)(1) provides broad publisher immunity regardless of whether a platform has a published policy.
It involves setting rules and guidelines that all content appearing on the site must abide by and filtering out anything that’s deemed harmful, sensitive, or inappropriate. Content moderators will review submissions and decide whether a particular submission can be used or not on that platform based on predefined criteria. Content moderation is important to keep platforms safe and upholds the brand’s trust and safety program. It is commonly used on websites such as forums, social media platforms, dating sites, and online marketplaces. Content moderation companies are businesses that help to keep online communities and platforms clean by removing the inappropriate or objectionable content. These companies use a variety of methods to find and remove unwanted content, including human moderators who review posts and flag anything that violates the community guidelines.
Content moderation is managed by the operations function in trust and safety, in close collaboration with engineering, product and policy functions. Operations teams are responsible for establishing the appropriate staffing and workforce model for content moderation and for building sustainable processes to monitor and control the health of the content moderation system. Policy is responsible for creating rules that determine the types of content allowed on a platform versus what is not and should be enforced through the content moderation system (see Creating and Enforcing Policy). The three functions of product, policy and operations also collaborate to develop the medium and long term strategy for trust and safety on their platform.
The foundation of effective content moderation lies in establishing clear, accessible community guidelines. These standards should be more than just a list of dos and don’ts; they must reflect the platform’s ethos and community’s expectations. For instance, with its professional focus, a platform like LinkedIn will have different standards than a more casual social media site like Instagram. Don’t forget that the user-generated content in these moderation guidelines includes more than written comments. Content moderation is used to provide a safe user experience across all types of content and viewing. The content moderation partner’s experience should enable clients to tailor policies that are aligned with the business goals across industries and platforms.
Combining AI with human intelligence improves the decision-making process and stops the bad things that happen when people only use AI. User reports of inappropriate content is followed up by moderations relying on users’ feedback. It is primarily used on forum communities such as Reddit and Wikipedia that have guidelines for moderators who review content. AI tools and machine learning algorithms recognize and prevent content to ensure compliance to pre-tuned rules.
Content that fails to meet these standards can be flagged, restricted, or removed. A broader concern is that LLM capabilities could become the dominant force shaping policy decisions, overshadowing thoughtful considerations of platform values, user needs, and societal impact. The difficulty of encoding complex ethical considerations into LLM-interpretable rules may push platforms towards simpler, more easily enforceable policies, resulting in the homogenisation of content moderation practices. If LLMs struggle with highly nuanced or context-sensitive rules, platforms may opt for standardized policies to ensure consistent enforcement. The advent of LLMs, particularly proprietary and opaque third-party models, is now shifting this balance. By enabling the direct use of policy guidelines in moderation workflows, thus bypassing human annotation, LLMs amplify the risks of technological determinism.
Moderation will be used effectively to achieve respectful and safe conversation. Make guidelines to be crafted in a way that fosters positivity rather than punishment. We have thousands of safety professionals globally who help build our technologies, develop and enforce our policies, design new safety features, and work with experts and industry peers. In a 2023 survey, 80% of respondents said platforms should try to reduce the spread of misinformation.
Moderation can be applied to all kinds of content, depending on your platform’s focus – text, images, video, and even live streaming. When it comes to text, automated moderation screens for keywords that are deemed as problematic. More advanced systems can spot conversational patterns and relationship analysis too.
Content moderation has an undeniable impact on customer security, most especially in online communities. These LLMs can collaboratively suggest rewrites and identify gaps creating a feedback loop for continuous improvement (Liang et al., 2024). In content moderation, prompts enable quick adaptation of LLMs to changing policies or criteria, offering a flexible approach that avoids the need for retraining (see Figure 1b). By simply re-engineering the prompt with updated policy guidelines, LLMs can swiftly respond to evolving societal norms, emerging risks, or platform-specific needs. In this setting, policy guidelines become an integral part of the prompt, allowing for seamless updates and adjustments to content moderation practices. A content moderation policy is the mainstay of any online platform that hosts user-generated content.
- Proactive measures include automated filters that screen for blacklisted words like slurs or spam.
- Depending on the size of your user base, you’ll carry out this screening and moderating process through a combination of algorithmic AI tools, user reporting and human review.
- However, the accuracy of AI is still limited, and it may fail to catch everything that it is programmed to or incorrectly flag harmless content.
- Any content, that goes against our Content Moderation Guidelines, created by a repeat infringer who’s been notified of previous moderation offences and subsequently banned, is prohibited and grants a direct block.
For this reason, large platforms often maintain separate guidelines for different features — that is a legitimate and often necessary approach. In particular, AI systems identify spammy patterns far faster than any human reviewer. Choose a service provider that offers cost-effective pricing that can help you cut costs without compromising the quality of output. Stick to pricing plans that are focused on the types of content that need to be moderated and always note that the add-on services have extra costs as well. Moreover, they should also be familiar with the latest technological advancements to adjust content moderation processes in line with ethical and professional considerations mandated by laws and policies. However, the accuracy of AI is still limited, and it may fail to catch everything that it is programmed to or incorrectly flag harmless content.
Us Content Moderation Regulations Every Platform Must Know
Content moderation involves the systematic monitoring and regulation of user-generated content in online platforms. A mix of artificial intelligence, automated tools, and human moderators who examine and grade the information per preset standards can be used to accomplish this process. One smart move to keep your social media platforms running smoothly is to dive into various AI tools for content management. At Synthesia, we’re committed to maintaining a respectful and safe environment in our platform. To ensure this, any content that violates our guidelines for appropriate language, will be moderated and rejected. This helps us uphold our standards and ensures that everyone can enjoy a positive and respectful experience while creating amazing video content.
They found that these platforms rarely explicitly state how their content moderation policies are enforced, except in the case of copyright, where the Digital Millennium Copyright Act (DMCA) provides an explicit legal grounding. Outsourcing content moderation services can help you save time and focus on the major operations of your business. There are several BPO companies offering content moderation services at affordable rates, focusing on major platforms and content types including social media posts, forums & communities, dating sites, images & videos, etc. The goal of these companies is to create a safe and welcoming environment for all users by keeping harmful or offensive content from being published. This helps to create a positive user experience and prevent people from being exposed to potentially harmful or upsetting material.
Post – Moderation
This can be a great way to protect younger users from seeing inappropriate content. Businesses may choose to hire content moderation teams, outsource content moderation services from external providers, or install content moderation software. To minimize machine misinterpretations, strategies must focus on crafting prompts that address multi-faceted aspects of content and encourage diverse perspectives. A further challenge is determining which prompt adjustments warrant formal documentation.
User-submitted content is immediately displayed publicly and placed in a queue for moderators to approve or remove. This method offers platforms a high degree of control over what appears on their site, making it well-suited to platforms where there is a high degree of legal risk. Although Facebook sits at the extreme end when it comes to sheer quantity of user-generated content, its example helps illustrate the scale of the challenge. Any content, that goes against our Content Moderation Guidelines, created by a repeat infringer who’s been notified of previous moderation offences and subsequently banned, is prohibited and grants a direct block. Prohibited Content refers to topics that are completely prohibited from use on the Synthesia platform.
Without well-defined expectations, users can quickly become confused or frustrated. Clear guidelines allow users to participate in healthy, respectful conversations without the fear of being harassed or exposed to toxic content. Post-moderation is a prominent content screening strategy that allows users to post material without waiting for moderation. While manual moderation has its place, automation is increasingly becoming the go-to solution for efficient and effective content management.
Major US brands will not place ads on platforms where their campaigns might appear alongside hate speech or illegal content. As a result, a well-enforced content policy is directly tied to ad revenue stability. Before they could annotate the text to create the main contribution of the paper, which is a publicly available annotated dataset, Bhagoji and Schaffner had to build a custom web-scraper to obtain policy text. In distributed moderation, moderators and users adopt a rating system in determining whether a user’s content is acceptable. Popular social media sites like Facebook and Twitter are known to rate user-generated content based on its viral impact, the severity of harm, and the likelihood of violation.
Review the relevant section to understand why, and adjust your content before resubmitting. You can find out more Prohibited Content topics in our Moderation policies here. Prohibited Content in each policy will be shown in the red columns in each of our Content Moderation policies. Learn why and how Synthesia moderates video content, the difference between prohibited and restricted topics, and how to appeal a rejection. Although slow and insufficient for high-speed internet scenarios, still it is used to secure platforms. Meow Meow Tweet cleverly uses comments to educate customers about how to care for their products, helping them to enjoy the ultimate experience.
Repetitive DMs and common questions can usually be handled with a smart auto-response or a saved reply. A skateboard brand might allow looser language, while a pharmaceutical company will need much preventing minors from accessing the product tighter restrictions. In addition to our own detection methods, we use industry-wide technologies to identify some kinds of content.
Restricted Content refers to topics that are restricted to Custom (Studio and Personal) avatars only. They might disagree with certain opinions you want to create, and as such, we ask that you use a custom avatar with your own likeness to express those views. You can find out more Restricted Content topics in our Moderation policies here. Restricted Content in each policy will be shown in the green columns in each of our Content Moderation policies. Just as it’s important to define acceptable behavior, it’s equally important to explain what happens when users violate those rules. Place them in clear sections such as registration forms, FAQs, and a permanent footer link.