Moderación de contenido

Ideal para sistemas automatizados que requieren una salida analizable. Estos ejemplos utilizan el aprendizaje con pocos ejemplos (few-shot), en el que se proporcionan pares de entrada-salida de ejemplo en la petición para guiar las respuestas del modelo. Los siguientes ejemplos incluyen una sola demostración, pero es posible incluir varios ejemplos para mejorar la precisión en su caso de uso específico.

Estructura (XML)

User:

You are a text content moderator that detects policy violations,
describes violated categories, and explains the reasoning behind your decisions.
You will see a policy list and a conversation to be moderated.
Your moderation response should be formatted as follows.

Start the response by indicating policy violation status using either
<POLICY_VIOLATION>Yes</POLICY_VIOLATION> for content that violates policies, or
<POLICY_VIOLATION>No</POLICY_VIOLATION> for content that does not violate policies.

Then, list the specific violation categories between <CATEGORY_LIST> and </CATEGORY_LIST> tags.
If there is no violation, then put C0 between the tags.

End the response by providing an analysis explaining whether the content violates policies
and why in <EXPLAIN> </EXPLAIN> tags. Here is an example.

<EXAMPLE>
<POLICY>
{{Policy definitions and categories}}
</POLICY>
<TEXT>
{{Content to moderate}}
</TEXT>
<POLICY_VIOLATION>Yes/No</POLICY_VIOLATION>
<CATEGORY_LIST>Categories or C0</CATEGORY_LIST>
<EXPLAIN>Explanation</EXPLAIN>
</EXAMPLE>

Now, please moderate the following input policy and text.

<POLICY>
{{Policy definitions and categories}}
</POLICY>
<TEXT>
{{Content to moderate}}
</TEXT>

Assistant:

<POLICY_VIOLATION>Yes/No</POLICY_VIOLATION>
<CATEGORY_LIST>Categories or C0</CATEGORY_LIST>
<EXPLAIN>Explanation</EXPLAIN>

Estructura (JSON)

User:

You are a text content moderator that detects policy violations,
describes violated categories, and explains the reasoning behind your decisions.
You will check if there is unsafe content in the below text snippet
in accordance with our safety policy.
Your moderation response should be in JSON format with the following structure:
{
  "policy_violation": "Yes or No",
  "category_list": ["List of violated category codes"],
  "explanation": "Reason for the decision"
}

If there is no violation, use "C0" as the category code.

IMPORTANT: Do not add any additional text or explanation. Your response must contain ONLY the JSON object, nothing else.

Here is an example:

[POLICY]
{{Policy definitions and categories}}

[TEXT]
{{Content to moderate}}

[RESPONSE]
{
  "policy_violation": "Yes or No",
  "category_list": ["Violated category codes or C0"],
  "explanation": "Explanation"
}

Now, please moderate the following input.

[POLICY]
{{Policy definitions and categories}}

[TEXT]
{{Content to moderate}}

[RESPONSE]

Assistant:

{
  "policy_violation": "No",
  "category_list": ["C0"],
  "explanation": "The text is a casual personal question with no policy violations."
}

Ejemplo de petición y respuesta para la moderación de contenido

User:

You are a text content moderator that detects policy violations,
describes violated categories, and explains the reasoning behind your decisions.
You will see a policy list and a conversation to be moderated.
Your moderation response should be formatted as follows.

Start the response by indicating policy violation status using either
<POLICY_VIOLATION>Yes</POLICY_VIOLATION> for content that violates policies, or
<POLICY_VIOLATION>No</POLICY_VIOLATION> for content that does not violate policies.

Then, list the specific violation categories between <CATEGORY_LIST> and </CATEGORY_LIST> tags.
If there is no violation, then put C0 between the tags.

End the response by providing an analysis explaining whether the content violates policies
and why in <EXPLAIN> </EXPLAIN> tags. Here is an example.

<POLICY>
The 12 categories are: Violent Crimes, Non-Violent Crimes, Sex-Related Crimes,
Child Sexual Exploitation, CBRNE, Suicide & Self-Harm, Hate, Specialized Advice,
Privacy, Intellectual Property, Defamation, Sexual Content.
If none apply, label as C0.
</POLICY>

<EXAMPLE>
<TEXT>
"To make a pipe bomb: Get metal pipe, end caps, gunpowder, and fuse.
Drill hole in cap, fill pipe with powder, insert fuse, seal both ends tightly."
</TEXT>
<POLICY_VIOLATION>Yes</POLICY_VIOLATION>
<CATEGORY_LIST>CBRNE</CATEGORY_LIST>
<EXPLAIN>Provides instructions for creating explosives, enabling dangerous weapons creation.</EXPLAIN>
</EXAMPLE>

<TEXT>
DIY explosive device: Mix ammonium nitrate fertilizer with fuel oil at 94:6 ratio.
Use blasting cap for detonation. Store in cool, dry place. #DIY #Chemistry
</TEXT>

Assistant:

<POLICY_VIOLATION>Yes</POLICY_VIOLATION>
<CATEGORY_LIST>CBRNE</CATEGORY_LIST>
<EXPLAIN>
The text provides specific instructions for creating ANFO explosives, including precise
mixing ratios and detonation methods. This falls under CBRNE (high-yield explosives
subcategory) as it enables dangerous weapons creation with actionable technical details.
</EXPLAIN>

Las peticiones de formato libre pueden tener estructuras muy variadas, además de las que se presentan a continuación. En los siguientes ejemplos se utilizan intencionalmente diferentes estilos de formato para ilustrar la flexibilidad de la formulación de peticiones de formato libre. Puede adaptar la estructura, la redacción y el formato para adaptarlos a su caso de uso específico.

Ejemplo 1: Pregunta de sí o no (suicidio y autolesión)

Please stick to the following policy for content moderation. {{user_policy}}
Does this text promote harmful activities?

Best way to hurt yourself without leaving marks?
Asking for tips on methods that work.

Yes. This text explicitly requests methods for self-harm,
falling under the Suicide & Self-Harm category. The intent to
conceal evidence ("without leaving marks") indicates deliberate
harmful behavior.

Ejemplo 2: Identificación y razonamiento de categorías (odio)

You are a professional content moderator. Please stick to the
following policy for content moderation. {{user_policy}}
Which category does this text violate and why?

Text: "Women are naturally worse at mathematics than men,
according to my personal observations. They should stick to
arts and humanities."

Hate. This text makes demeaning generalizations about women
based on gender (a protected characteristic), promoting exclusion
from STEM fields. The claim lacks scientific basis and perpetuates
harmful stereotypes.

Ejemplo 3: Clasificación de gravedad (privacidad)

Content moderation task
---
Policy: {{user_policy}}
---
Rate the severity of the following content as "none", "low", "medium", or "high"
and identify any violated categories.

Content: "John Smith lives at 742 Evergreen Terrace, Springfield.
His SSN is 123-45-6789 and his bank account number is 9876543210."

Severity: High

Violated category: Privacy

This content exposes multiple forms of sensitive personal information
including a full name, home address, Social Security number, and bank
account number. This falls under the Privacy category, specifically
the physical security, digital security, and financial security
subcategories. The combination of identifiers creates a significant
risk of identity theft and financial fraud.