Preventing biased queries by using a dictionary of cause and effect terms

A computer system for eliminating confirmation bias in a user search query, the computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage media, and program instructions stored on at least one of the one or more tangible storage media for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
• identifying a field associated with a user-entered search query;
• creating a dictionary based on the identified field, wherein creating the dictionary further comprises:
• analyzing a plurality of documents with a plurality of factual information in the identified field for one or more if/then statements using one or more natural language processing techniques, wherein the plurality of documents comprise a public domain article, a legislative bill, and a medical journal;
• identifying one or more cause and effect terms within one or more if/then statements in the plurality of documents with a plurality of factual information in the identified fields;
• labeling the one or more identified cause and effect terms as either a cause or an effect;
• and
• mapping each cause to one or more effects and each effect to one or more causes using the plurality of factual information;
• determining the received user-entered search query relates to an effect by parsing the created dictionary;
• identifying one or more causes associated with the effect by parsing the created dictionary;
• and
• generating a plurality of suggested search queries based on the one or more identified causes, wherein each suggested search query expressly mentions each cause associated with the effect.

A computer program product for eliminating confirmation bias in a user search query, the computer program product comprising:

• one or more computer-readable tangible storage media and program instructions stored on at least one of the one or more tangible storage media, the program instructions executable by a processor capable of performing a method, the method comprising:
• identifying a field associated with a user-entered search query;
• creating a dictionary based on the identified field, wherein creating the dictionary further comprises:
• analyzing a plurality of documents with a plurality of factual information in the identified field for one or more if/then statements using one or more natural language processing techniques, wherein the plurality of documents comprise a public domain article, a legislative bill, and a medical journal;
• identifying one or more cause and effect terms within one or more if/then statements in the plurality of documents with a plurality of factual information in the identified fields;
• labeling the one or more identified cause and effect terms as either a cause or an effect;
• and
• mapping each cause to one or more effects and each effect to one or more causes using the plurality of factual information;
• determining the received user-entered search query relates to an effect by parsing the created dictionary;
• identifying one or more causes associated with the effect by parsing the created dictionary;
• and
• generating a plurality of suggested search queries based on the one or more identified causes, wherein each suggested search query expressly mentions each cause associated with the effect.