const.py

GOAL = "**The task of this app is dual**: to detect attractivness of a job ad by analyzing its content, and detecting its potential bias."

LIMITATIONS = [
    "**Limitations**:\n Currently this analysis is done only in English and is based on a few studies:",
    " - Presence of certain words may improve the appeal of the job ad to a specific group of people [https://psycnet.apa.org/record/2011-04642-001]. However, this has also been disputed [https://pubsonline.informs.org/doi/10.1287/mnsc.2023.4674].",
    " - Presence of gendered job titles only gives an indication of potential bias. However, recent paper shows it might have minimal effect on gender inclusivity. Nevertheless, it is often required by law or a job poster board and so we help you with it. [https://pubsonline.informs.org/doi/10.1287/mnsc.2023.4674]",
    " - Presence of strict requirements may discourage certain well qualified candidates for example see [https://hbr.org/2014/08/why-women-dont-apply-for-jobs-unless-theyre-100-qualified]",
    " - Presence of statements that imply challenges to personal life balance may discourage well qualified candidates for a variety of reasons.",
    " - The count of gendered pronouns is not a reliable indicator of potential bias, but it may help improve the job ad.",
    "Bias and attractiveness are complex and inherently semantic issues.\n\n**This valuation is meant to be a guide to highlight potential opportunities to improve the job ad.**",
]

masc_color = "#f6cefc"
femi_color = "#f6cefc"
masc_pro_color = "#FFAC1C"
femi_pro_color = "#FFAC1C"
ageism_color = "#ADD8E6"
ableism_color = "#E97451"