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How to prevent information bias in automated research?

2025-09-10 1.9 K

Technical means to control bias in OpenDeepResearcher research

AI-driven research can produce four types of typical biases that can be mitigated by these methods:

  • Source Diversity Guarantee: force inclusion of .edu/.gov etc. domains in search_generator
  • Balanced viewpoints mechanism: Setting the controversial_topics parameter to automatically collect pro and con arguments
  • Time-sensitive filtration: Add date_restrict parameter to SERPAPI
  • Manual calibration interface: Enable active_mode to insert confirmation nodes every 3 rounds

Recommended Quality Control Processes:

  1. Run small tests in debug mode first
  2. Check source distribution in source_tracking.csv
  3. Using the bias_detector plugin (additional installation required)
  4. The final report should contain a statement of methodological limitations

For critical studies it is recommended that all original web page snapshots be exported for manual review at a later stage.

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