Determining states of content characteristics of electronic communications

A non-transitory computer-readable storage medium that stores instructions that when executed by one or more processors of a computing device, cause the one or more processors to perform operations comprising:

• receiving text, the text comprising one or more text phrases;
• determining for each of the one or more text phrases a probability of a gender-bias state, a probability of a gender-neutral state, and a probability of a state of not applicable to gender bias or gender neutral, the determining being based on a natural language model trained with data structures, the data structures comprising training phrases indicated as having the gender-bias state, training phrases indicated as having the gender-neutral state, and training phrases indicated as not applicable to the gender-bias state or the gender-neutral state;
• determining a score of the text based on the probability of the gender-bias state, the probability of the gender-neutral state, and the probability of the state of not applicable to gender bias or gender neutral for each of the one or more text phrases;
• and
• causing to be displayed on a display of a user an indication of the score of the text.

A computing device comprising:

• a processor;
• a memory, comprising instructions which, when executed by the processor, cause the processor to perform operations comprising:
• receiving text, the text comprising one or more text phrases;
• determining for each of the one or more text phrases a probability of a gender-bias state, a probability of a gender-neutral state, and a probability of a state of not applicable to gender bias or gender neutral, the determining being based on a natural language model trained with data structures, the data structures comprising training phrases indicated as having the gender-bias state, training phrases indicated as having the gender-neutral state, and training phrases indicated as not applicable to the gender-bias state or the gender-neutral state;
• determining a score of the text based on the probability of the gender-bias state, the probability of the gender-neutral state, and the probability of the state of not applicable to gender bias or gender neutral for each of the one or more text phrases;
• and
• causing to be displayed on a display of a user an indication of the score of the text.