Basic Checks

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Overview

Alias performs a series of automated tests on each survey response to detect various types of low-quality and fraudulent content. These basic checks include:

1. Gibberish
2. Off-topic
3. Low-effort
4. GPT-generated Content
5. Profane

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Gibberish

Alias identifies responses that lack coherent semantic content and flags them as Automated test: Gibberish.

Example:

• Question: “What is your favorite book and why?”
• Response: “asdfghjkl”

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Off-topic

Responses that are unrelated to the question asked are flagged as Automated test: Off-topic.

Example:

• Question: “How do you approach problem-solving?”
• Response: “I love going to the beach on sunny days.”

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Low-effort

Alias flags responses with minimal information or insufficient detail as Low-effort.

Example:

• Question: “Describe a challenging project you worked on.”
• Response: “No.”

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GPT-generated

Responses that appear to be generated by GPT or another large language model (LLM) are flagged as Automated test: GPT.

Example:

• Question: “What strategies do you use to manage stress?”
• Response: “As a large language model, I do not experience stress.”

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Profane

Profane responses are those that include profane, vulgar, or explicit language.

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Interpreting Basic Check Results

When a response fails one or more basic checks, it is included in the checks object of the API response.

For example:

"checks": {
  "Q1": [
    "Automated test: Off-topic",
    "Low-effort"
  ]
}

This indicates that the response to question “Q1” was flagged as both off-topic and low-effort.

Use the results of these basic checks to quickly identify and filter out low-quality responses before proceeding with more in-depth analysis.

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Next Steps

• Learn about Alias’s duplicate detection capabilities.
• Explore how behavioral tracking can uncover fraudulent activity.
• Understand how effort scoring provides a granular assessment of response quality.