How to avoid content distortion caused by leading bias in prompt design?

When designing prompts, to avoid content distortion caused by guiding biases, one must start from three core dimensions: neutrality of expression, clarity of task boundaries, and vocabulary selection, to ensure the generated content is objective and authentic. In specific practice, optimization can be done from the following aspects: - Maintain neutral expression: Avoid using words with emotional tendencies or preset conclusions, such as "analyze different viewpoints" instead of "prove a certain viewpoint correct". - Clarify task boundaries: Clearly define the scope of information and output requirements, such as "list the advantages and disadvantages of the product" instead of "emphasize the advantages of the product". - Avoid suggestive guidance: Avoid implying the direction of answers through question structure or examples, such as not using "Why is A better than B?" but "Compare the main differences between A and B". It is recommended to test the output results in different scenarios after designing the prompt, observe whether there are hidden biases, and gradually adjust the expression method to improve the objectivity of the content. This process is particularly helpful for scenarios that require generating neutral information (such as report writing, multi-perspective analysis).