What are the statistics on bias in job descriptions?
Studies show that job descriptions often contain biased language, which can deter diverse candidates. For example, research indicates that gendered words can lead to a 20% decrease in applications from women.
Can you give examples of biased language?
Sure! Words like 'aggressive' or 'ninja' can be perceived as masculine, while terms like 'supportive' may attract more female candidates.
How can companies reduce bias in their job descriptions?
Companies can use gender-neutral language, focus on essential skills, and utilize tools that analyze job descriptions for bias.
Are there any tools available to help with this?
Yes, tools like Textio and Gender Decoder can help identify biased language in job descriptions and suggest alternatives.
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