When developing content moderation tools, it’s crucial to establish clear frameworks to ensure consistency, fairness, and effectiveness. Here are some prompt frameworks that could be used for different aspects of content moderation:
1. General Content Moderation Framework
This framework would focus on overall content quality and ensure that content adheres to community guidelines.
Prompt:
Evaluate whether the content adheres to the platform’s community guidelines regarding offensive language, explicit material, and hate speech. Highlight areas where the content may violate the guidelines, providing specific examples and the corresponding policy rule it breaks.
Output Example:
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The content includes explicit language in the form of derogatory slurs, violating our hate speech policy. Specifically, the term “X” is used in a harmful context aimed at a particular group, breaching our guidelines.
2. Hate Speech and Discrimination Detection
Detecting and filtering content that contains harmful speech based on race, religion, gender, sexual orientation, or other protected characteristics.
Prompt:
Assess the content for hate speech, discriminatory language, or harmful stereotypes. Is there any language used that could incite violence or hatred against specific groups? Provide examples of discriminatory terms or phrases within the text.
Output Example:
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The content includes racial slurs directed at individuals from the African American community. This violates the anti-discrimination clause, which prohibits the use of harmful racial terms.
3. Explicit and Adult Content Detection
Focuses on detecting explicit or adult content that may be inappropriate for certain audiences.
Prompt:
Examine the content for any explicit or adult material. Does the content include graphic depictions of sexual activity, nudity, or graphic violence? Specify sections of the content that may be deemed inappropriate for minors.
Output Example:
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The text includes explicit descriptions of sexual acts, which violate the platform’s guidelines on adult content. Specifically, the paragraph beginning with “X” contains explicit details that need to be removed.
4. Misinformation and Fake News Detection
Evaluating whether the content spreads misinformation, conspiracy theories, or inaccurate statements that could harm public trust.
Prompt:
Review the content for any factual inaccuracies or misleading claims. Does the content contain any information that can be proven false or is likely to mislead users? Provide evidence or sources debunking any false claims made in the text.
Output Example:
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The statement claiming “X” is a direct cause of “Y” is factually incorrect. Studies from sources like [link] show that there is no direct correlation between these two variables.
5. Cyberbullying and Harassment Detection
Focusing on content that might be intended to harass, bully, or threaten individuals.
Prompt:
Evaluate the content for any forms of harassment, bullying, or threats toward specific individuals or groups. Are there any insults, threats of violence, or targeted attacks in the content? Include specific examples of harmful language.
Output Example:
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The comment “X should just quit and disappear” constitutes targeted harassment, violating our platform’s anti-bullying policy. This type of language can cause harm and should be removed.
6. Spam and Fake Account Behavior Detection
Identify repetitive, irrelevant, or overly promotional content, which is often associated with spam or fake accounts.
Prompt:
Analyze the content for signs of spam, such as excessive links, repetitive phrases, or irrelevant promotional material. Does the content appear to come from a fake account designed to manipulate engagement or advertise products?
Output Example:
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The content consists primarily of links to external sites that are unrelated to the topic, which violates our spam policy. The account also displays behavior consistent with automated bot activity.
7. Sensitive Data and Privacy Violation Detection
Focusing on content that may expose private information or violate privacy guidelines.
Prompt:
Scan the content for any sensitive or private information, such as personal identification details, financial data, or other confidential material. Does the content include information that could potentially harm individuals or compromise their privacy?
Output Example:
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The content includes personal phone numbers and email addresses, which violate our privacy guidelines. These should be removed to protect user confidentiality.
8. Violence and Harmful Content Detection
Detects content that promotes violence, self-harm, or harm to others.
Prompt:
Review the content for any references to violence, self-harm, or harm to others. Are there any encouraging or glorifying messages about violent behavior? Identify any specific sections where the content promotes harm.
Output Example:
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The statement “X should be hurt” constitutes a threat of violence and violates our anti-violence policy. The content should be flagged and removed from the platform.
9. Child Sexual Abuse Material (CSAM) Detection
A specific prompt for detecting and flagging content related to child sexual abuse or exploitation.
Prompt:
Evaluate the content for any signs of child sexual abuse material (CSAM), exploitation, or grooming. Does the content include suggestive or harmful material involving minors? Provide detailed examples of violations.
Output Example:
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The content contains sexually explicit language about minors, which clearly violates our CSAM policy. This content must be immediately flagged and reported to the relevant authorities.
10. Copyright and Intellectual Property Violation Detection
Detecting unauthorized use of copyrighted content.
Prompt:
Assess the content for any use of copyrighted material without proper attribution or permission. Are there any instances where copyrighted images, music, or text are used without the owner’s consent?
Output Example:
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The content includes an image that is copyrighted by [owner], and no credit or permission has been provided. This violates our intellectual property policy.
11. Trolling and Disruptive Behavior
Focusing on content that seems intended to derail conversations or provoke unnecessary conflict.
Prompt:
Review the content for signs of trolling, such as inflammatory remarks, exaggerations, or provocations meant to stir up conflict. Does the content derail the discussion or distract from the original topic?
Output Example:
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The comment “This is the worst opinion ever, and anyone who thinks otherwise is dumb” is an example of trolling. The inflammatory language is intended to provoke responses and disrupt the conversation.
12. Community Engagement and Tone Monitoring
Ensuring content promotes healthy, constructive discussion rather than antagonism or negativity.
Prompt:
Examine whether the content encourages healthy, positive engagement or contributes to a toxic environment. Is the tone of the content respectful, or does it foster negativity or divisiveness?
Output Example:
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The comment “This is the stupidest idea I’ve heard all day” creates a hostile tone and discourages constructive dialogue. A more respectful approach would be to provide alternative perspectives without insulting others.
These frameworks are designed to help content moderators quickly identify problematic content and make decisions based on the platform’s community guidelines. The goal is always to balance user freedom of expression with the need to protect the community from harmful content.