Restricted Word List
A restricted word list is a curated set of words and phrases that triggers automatic moderation actions when detected in social media comments, helping brands filter offensive, spammy, or harmful content.
What Is Restricted Word List?
A restricted word list, also known as a blocklist, blacklist, or keyword filter list, is a curated collection of specific words, phrases, and character patterns that a moderation system uses to automatically identify and take action on comments containing those terms. When a comment includes a word or phrase from the restricted list, the system can automatically hide, delete, flag, or hold the comment for review based on predefined rules. Restricted word lists are one of the foundational tools in comment moderation, providing a direct, rules-based approach to filtering known harmful, offensive, or unwanted content. While simpler than AI-based moderation, well-maintained restricted word lists remain an essential component of a comprehensive moderation strategy, particularly for catching specific branded threats, competitor mentions, or industry-specific inappropriate content.
Building an Effective Restricted Word List
Creating a comprehensive restricted word list requires careful thought and ongoing maintenance. Start with categories: offensive language and slurs, common spam phrases and patterns, competitor brand names (if appropriate for your strategy), scam-related keywords like "free followers" or "DM for business," known phishing URL patterns, and industry-specific harmful terms. For each category, include common variations, misspellings, and character substitutions that people use to evade filters. Avoid being overly broad, as words that seem inappropriate in isolation may be perfectly acceptable in context. For example, a cooking brand should not block the word "knife" even though it could be threatening in other contexts. Regular review and updates are essential as language evolves and new spam patterns emerge.
Common Categories for Restricted Words
Effective restricted word lists typically cover several key categories. Profanity and hate speech include explicit language, slurs, and discriminatory terms. Spam triggers include phrases commonly used in spam comments such as "check my page," "DM me for," "link in bio," and cryptocurrency-related promotional terms. Competitor mentions may include competitor brand names if you want to prevent promotion on your pages. Scam indicators include terms like "free giveaway," "click here," "winner selected," and similar phrases used in impersonation scams. Sensitive topics include words related to subjects your brand does not want to be associated with. Customized brand-specific terms might include product names being used in misleading ways or known troll phrases targeting your brand specifically.
Limitations of Keyword-Only Filtering
While restricted word lists are valuable, they have significant limitations when used as the sole moderation tool. They cannot understand context, meaning legitimate comments may be blocked while harmful comments that avoid specific keywords may pass through. Spammers routinely use character substitution (replacing "a" with "@"), strategic misspellings, and coded language to evade keyword filters. Word lists require constant manual updates to remain effective against evolving tactics. They also struggle with multilingual content, sarcasm, and culturally nuanced language. For these reasons, restricted word lists are most effective when used as one layer within a broader moderation strategy that includes AI-powered analysis for contextual understanding.
How FeedGuardians Helps
FeedGuardians combines customizable restricted word lists with advanced AI to provide comprehensive comment filtering. You can create, manage, and update your restricted word lists directly from our dashboard, with support for different lists for different platforms and content types. Our AI extends the power of your word lists by catching variations, misspellings, and evasion attempts that exact-match keyword filters would miss. FeedGuardians also provides suggested terms based on common spam and offensive patterns in your industry, helping you build more comprehensive lists faster. The result is a moderation system that catches both known and unknown threats to your comment sections.
Examples of Restricted Word List
Industry-Specific Word List
A financial services brand creates a restricted word list that includes common cryptocurrency scam terms, misleading investment promises like "guaranteed returns," and competitor brand names. This targeted list catches the specific types of harmful comments most common in their industry while keeping engagement open for legitimate financial discussions.
Campaign-Specific Filtering
During a product launch, a tech brand temporarily adds competitor product names and common comparison phrases to their restricted word list to prevent competitors from hijacking their launch conversation. After the campaign, they remove these temporary additions to return to standard moderation rules.
Evasion-Resistant List
A brand builds a restricted word list that includes common character substitution patterns for offensive terms, such as "sh1t," "sh!t," and "s.h.i.t" alongside the standard spelling. This approach catches a wider range of evasion attempts than a simple exact-match list, though AI-powered filtering catches even more variations automatically.
Common Questions
There is no fixed ideal number, but most effective restricted word lists contain between 200 and 1,000 entries when including variations and common misspellings. Start with the most critical categories (extreme profanity, known spam phrases, and brand-specific threats) and expand over time based on the types of unwanted comments you encounter. Quality and relevance matter more than quantity; an overly large list with poorly considered entries can block too much legitimate engagement. Review and refine your list monthly.
Your restricted word list should be reviewed and updated at least monthly, with more frequent updates during active campaigns or when new spam patterns are identified. Set up a regular review process that includes analyzing filtered comments for false positives, reviewing comments that passed through filters but should have been caught, monitoring industry trends for new spam tactics, and adjusting for seasonal patterns such as increased scam activity during holiday shopping seasons. AI-powered tools can help identify emerging patterns that should be added to your list.
Yes, but managing multilingual restricted word lists is significantly more complex. Each language has its own offensive terms, spam patterns, and cultural nuances. You need separate lists for each language your audience uses, maintained by people fluent in those languages. Some terms may be offensive in one language but innocuous in another, requiring careful cross-language review. AI-powered moderation tools handle multilingual content more effectively than keyword lists alone because they can analyze context and intent across languages without requiring exhaustive word-by-word translation.
A restricted word list is a rules-based approach that takes action when specific predefined words or phrases are detected. AI moderation uses machine learning to understand the meaning, context, and intent of comments, making decisions based on learned patterns rather than exact matches. Word lists are precise but rigid, while AI is flexible but requires training data. The most effective moderation systems use both: restricted word lists for catching known specific threats and AI for understanding context and catching novel forms of harmful content that keyword lists cannot anticipate.
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