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#genderbias — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #genderbias, aggregated by home.social.

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  1. WiRED surveyed 634 women in tech. 59% had seen or experienced #genderbias. And everyone is pushed to use #AI. But "sloppy, half-assed work gets praise when a man does it with #Claude, whereas if I or any other women present[ed] that we’d get fired.” wired.com/story/women-in-tech-

  2. WiRED surveyed 634 women in tech. 59% had seen or experienced #genderbias. And everyone is pushed to use #AI. But "sloppy, half-assed work gets praise when a man does it with #Claude, whereas if I or any other women present[ed] that we’d get fired.” wired.com/story/women-in-tech-

  3. WiRED surveyed 634 women in tech. 59% had seen or experienced #genderbias. And everyone is pushed to use #AI. But "sloppy, half-assed work gets praise when a man does it with #Claude, whereas if I or any other women present[ed] that we’d get fired.” wired.com/story/women-in-tech-

  4. WiRED surveyed 634 women in tech. 59% had seen or experienced #genderbias. And everyone is pushed to use #AI. But "sloppy, half-assed work gets praise when a man does it with #Claude, whereas if I or any other women present[ed] that we’d get fired.” wired.com/story/women-in-tech-

  5. WiRED surveyed 634 women in tech. 59% had seen or experienced #genderbias. And everyone is pushed to use #AI. But "sloppy, half-assed work gets praise when a man does it with #Claude, whereas if I or any other women present[ed] that we’d get fired.” wired.com/story/women-in-tech-

  6. WiRED surveyed 634 women in tech. 59% had seen or experienced #genderbias. And everyone is pushed to use #AI. But "sloppy, half-assed work gets praise when a man does it with #Claude, whereas if I or any other women present[ed] that we’d get fired.” www.wired.com/story/women-...

    We Surveyed 634 Women Who Work...

  7. WiRED surveyed 634 women in tech. 59% had seen or experienced #genderbias. And everyone is pushed to use #AI. But "sloppy, half-assed work gets praise when a man does it with #Claude, whereas if I or any other women present[ed] that we’d get fired.” www.wired.com/story/women-...

    We Surveyed 634 Women Who Work...

  8. WiRED surveyed 634 women in tech. 59% had seen or experienced #genderbias. And everyone is pushed to use #AI. But "sloppy, half-assed work gets praise when a man does it with #Claude, whereas if I or any other women present[ed] that we’d get fired.” www.wired.com/story/women-...

    We Surveyed 634 Women Who Work...

  9. WiRED surveyed 634 women in tech. 59% had seen or experienced #genderbias. And everyone is pushed to use #AI. But "sloppy, half-assed work gets praise when a man does it with #Claude, whereas if I or any other women present[ed] that we’d get fired.” www.wired.com/story/women-...

    We Surveyed 634 Women Who Work...

  10. WiRED surveyed 634 women in tech. 59% had seen or experienced #genderbias. And everyone is pushed to use #AI. But "sloppy, half-assed work gets praise when a man does it with #Claude, whereas if I or any other women present[ed] that we’d get fired.” www.wired.com/story/women-...

    We Surveyed 634 Women Who Work...

  11. Update. In France, the gender productivity gap has "a U-shaped trajectory: the gap is already present at age 30, widens to 31% at age 42, then partially narrows without ever closing. This pattern, robust across cohorts and most disciplines, reflects distinct dynamics: men’s productivity rises faster, plateaus higher, then declines after age 50, while women’s productivity experiences a late-career resurgence, particularly among researchers. Life sciences are a notable exception…Women are 15% less likely to apply for grants, a difference 2.5 times larger in life sciences…Women [face] a higher performance threshold for advancement, particularly in the life sciences."
    theses.hal.science/tel-0573845

    #Gender #GenderBias

  12. Update. In France, the gender productivity gap has "a U-shaped trajectory: the gap is already present at age 30, widens to 31% at age 42, then partially narrows without ever closing. This pattern, robust across cohorts and most disciplines, reflects distinct dynamics: men’s productivity rises faster, plateaus higher, then declines after age 50, while women’s productivity experiences a late-career resurgence, particularly among researchers. Life sciences are a notable exception…Women are 15% less likely to apply for grants, a difference 2.5 times larger in life sciences…Women [face] a higher performance threshold for advancement, particularly in the life sciences."
    theses.hal.science/tel-0573845

    #Gender #GenderBias

  13. Update. In France, the gender productivity gap has "a U-shaped trajectory: the gap is already present at age 30, widens to 31% at age 42, then partially narrows without ever closing. This pattern, robust across cohorts and most disciplines, reflects distinct dynamics: men’s productivity rises faster, plateaus higher, then declines after age 50, while women’s productivity experiences a late-career resurgence, particularly among researchers. Life sciences are a notable exception…Women are 15% less likely to apply for grants, a difference 2.5 times larger in life sciences…Women [face] a higher performance threshold for advancement, particularly in the life sciences."
    theses.hal.science/tel-0573845

    #Gender #GenderBias

  14. Update. In France, the gender productivity gap has "a U-shaped trajectory: the gap is already present at age 30, widens to 31% at age 42, then partially narrows without ever closing. This pattern, robust across cohorts and most disciplines, reflects distinct dynamics: men’s productivity rises faster, plateaus higher, then declines after age 50, while women’s productivity experiences a late-career resurgence, particularly among researchers. Life sciences are a notable exception…Women are 15% less likely to apply for grants, a difference 2.5 times larger in life sciences…Women [face] a higher performance threshold for advancement, particularly in the life sciences."
    theses.hal.science/tel-0573845

    #Gender #GenderBias

  15. Update. In France, the gender productivity gap has "a U-shaped trajectory: the gap is already present at age 30, widens to 31% at age 42, then partially narrows without ever closing. This pattern, robust across cohorts and most disciplines, reflects distinct dynamics: men’s productivity rises faster, plateaus higher, then declines after age 50, while women’s productivity experiences a late-career resurgence, particularly among researchers. Life sciences are a notable exception…Women are 15% less likely to apply for grants, a difference 2.5 times larger in life sciences…Women [face] a higher performance threshold for advancement, particularly in the life sciences."
    theses.hal.science/tel-0573845

    #Gender #GenderBias

  16. I was in a Savers the other day, waiting to use an electrical outlet, when an older guy (I definitely wouldn't call him a gentleman) was testing a leaf blower. It didn't have the nozzle on it and it didn't work. I pointed out that if there's a cutoff switch where the nozzle joins the body then it wouldn't work anyway for safety reasons. I should have kept my mouth shut. The abuse I got for voicing something he didn't think of was tremendous.
    I appear female.
    I'm so tired.
    #GenderBias

  17. I was in a Savers the other day, waiting to use an electrical outlet, when an older guy (I definitely wouldn't call him a gentleman) was testing a leaf blower. It didn't have the nozzle on it and it didn't work. I pointed out that if there's a cutoff switch where the nozzle joins the body then it wouldn't work anyway for safety reasons. I should have kept my mouth shut. The abuse I got for voicing something he didn't think of was tremendous.
    I appear female.
    I'm so tired.
    #GenderBias

  18. I was in a Savers the other day, waiting to use an electrical outlet, when an older guy (I definitely wouldn't call him a gentleman) was testing a leaf blower. It didn't have the nozzle on it and it didn't work. I pointed out that if there's a cutoff switch where the nozzle joins the body then it wouldn't work anyway for safety reasons. I should have kept my mouth shut. The abuse I got for voicing something he didn't think of was tremendous.
    I appear female.
    I'm so tired.
    #GenderBias

  19. I was in a Savers the other day, waiting to use an electrical outlet, when an older guy (I definitely wouldn't call him a gentleman) was testing a leaf blower. It didn't have the nozzle on it and it didn't work. I pointed out that if there's a cutoff switch where the nozzle joins the body then it wouldn't work anyway for safety reasons. I should have kept my mouth shut. The abuse I got for voicing something he didn't think of was tremendous.
    I appear female.
    I'm so tired.
    #GenderBias

  20. I was in a Savers the other day, waiting to use an electrical outlet, when an older guy (I definitely wouldn't call him a gentleman) was testing a leaf blower. It didn't have the nozzle on it and it didn't work. I pointed out that if there's a cutoff switch where the nozzle joins the body then it wouldn't work anyway for safety reasons. I should have kept my mouth shut. The abuse I got for voicing something he didn't think of was tremendous.
    I appear female.
    I'm so tired.
    #GenderBias

  21. Ah, yet another #groundbreaking revelation: computers might be biased! 🙄 These brilliant minds have cracked the code that if you ask stupid questions, you get stupid answers... but with a side of gender bias! 🤯 Groundbreaking stuff, folks! 🙌
    arxiv.org/abs/2608.13328 #computersbias #genderbias #technews #revelation #HackerNews #ngated

  22. Ah, yet another #groundbreaking revelation: computers might be biased! 🙄 These brilliant minds have cracked the code that if you ask stupid questions, you get stupid answers... but with a side of gender bias! 🤯 Groundbreaking stuff, folks! 🙌
    arxiv.org/abs/2608.13328 #computersbias #genderbias #technews #revelation #HackerNews #ngated

  23. Ah, yet another #groundbreaking revelation: computers might be biased! 🙄 These brilliant minds have cracked the code that if you ask stupid questions, you get stupid answers... but with a side of gender bias! 🤯 Groundbreaking stuff, folks! 🙌
    arxiv.org/abs/2608.13328 #computersbias #genderbias #technews #revelation #HackerNews #ngated

  24. Ah, yet another #groundbreaking revelation: computers might be biased! 🙄 These brilliant minds have cracked the code that if you ask stupid questions, you get stupid answers... but with a side of gender bias! 🤯 Groundbreaking stuff, folks! 🙌
    arxiv.org/abs/2608.13328 #computersbias #genderbias #technews #revelation #HackerNews #ngated

  25. Ah, yet another #groundbreaking revelation: computers might be biased! 🙄 These brilliant minds have cracked the code that if you ask stupid questions, you get stupid answers... but with a side of gender bias! 🤯 Groundbreaking stuff, folks! 🙌
    arxiv.org/abs/2608.13328 #computersbias #genderbias #technews #revelation #HackerNews #ngated

  26. Update. Without knowing author names, #ChatGPT rated male first-authored articles higher in quality than female first-authored papers. The results differed by discipline. But in some fields, the male-preference disparity was even larger than the same disparity in #REF ratings.
    arxiv.org/abs/2608.09552

    "Gender differences were not evident for solo research in the social sciences, arts and humanities…The male-favouring pattern for first-authored research was not explained by gender differences in writing styles, at least as reflected in abstract complexity…Average ChatGPT scores may differ by first-author gender indirectly through other factors, such as field, topic, method, journal context or authorship structure. Thus, this is an additional reason to be cautious with AI-based research evaluation."

    #AI #Gender #GenderBias

  27. Update. Without knowing author names, #ChatGPT rated male first-authored articles higher in quality than female first-authored papers. The results differed by discipline. But in some fields, the male-preference disparity was even larger than the same disparity in #REF ratings.
    arxiv.org/abs/2608.09552

    "Gender differences were not evident for solo research in the social sciences, arts and humanities…The male-favouring pattern for first-authored research was not explained by gender differences in writing styles, at least as reflected in abstract complexity…Average ChatGPT scores may differ by first-author gender indirectly through other factors, such as field, topic, method, journal context or authorship structure. Thus, this is an additional reason to be cautious with AI-based research evaluation."

    #AI #Gender #GenderBias

  28. Update. Without knowing author names, #ChatGPT rated male first-authored articles higher in quality than female first-authored papers. The results differed by discipline. But in some fields, the male-preference disparity was even larger than the same disparity in #REF ratings.
    arxiv.org/abs/2608.09552

    "Gender differences were not evident for solo research in the social sciences, arts and humanities…The male-favouring pattern for first-authored research was not explained by gender differences in writing styles, at least as reflected in abstract complexity…Average ChatGPT scores may differ by first-author gender indirectly through other factors, such as field, topic, method, journal context or authorship structure. Thus, this is an additional reason to be cautious with AI-based research evaluation."

    #AI #Gender #GenderBias

  29. Update. Without knowing author names, #ChatGPT rated male first-authored articles higher in quality than female first-authored papers. The results differed by discipline. But in some fields, the male-preference disparity was even larger than the same disparity in #REF ratings.
    arxiv.org/abs/2608.09552

    "Gender differences were not evident for solo research in the social sciences, arts and humanities…The male-favouring pattern for first-authored research was not explained by gender differences in writing styles, at least as reflected in abstract complexity…Average ChatGPT scores may differ by first-author gender indirectly through other factors, such as field, topic, method, journal context or authorship structure. Thus, this is an additional reason to be cautious with AI-based research evaluation."

    #AI #Gender #GenderBias

  30. Update. Without knowing author names, #ChatGPT rated male first-authored articles higher in quality than female first-authored papers. The results differed by discipline. But in some fields, the male-preference disparity was even larger than the same disparity in #REF ratings.
    arxiv.org/abs/2608.09552

    "Gender differences were not evident for solo research in the social sciences, arts and humanities…The male-favouring pattern for first-authored research was not explained by gender differences in writing styles, at least as reflected in abstract complexity…Average ChatGPT scores may differ by first-author gender indirectly through other factors, such as field, topic, method, journal context or authorship structure. Thus, this is an additional reason to be cautious with AI-based research evaluation."

    #AI #Gender #GenderBias

  31. Update. "In STEM fields, women first and last authors make fewer novelty claims [defined as "rhetorical statements that frame research as novel"] than men, and this is associated with fewer citations. In humanities and social sciences, novelty claims remain positively associated with citations, but there are no gender differences in their use or in citations."
    doi.org/10.1177/08912432261462

    #Gender #GenderBias #Disciplines

  32. Update. "In STEM fields, women first and last authors make fewer novelty claims [defined as "rhetorical statements that frame research as novel"] than men, and this is associated with fewer citations. In humanities and social sciences, novelty claims remain positively associated with citations, but there are no gender differences in their use or in citations."
    doi.org/10.1177/08912432261462

    #Gender #GenderBias #Disciplines

  33. Update. "In STEM fields, women first and last authors make fewer novelty claims [defined as "rhetorical statements that frame research as novel"] than men, and this is associated with fewer citations. In humanities and social sciences, novelty claims remain positively associated with citations, but there are no gender differences in their use or in citations."
    doi.org/10.1177/08912432261462

    #Gender #GenderBias #Disciplines

  34. Update. "In STEM fields, women first and last authors make fewer novelty claims [defined as "rhetorical statements that frame research as novel"] than men, and this is associated with fewer citations. In humanities and social sciences, novelty claims remain positively associated with citations, but there are no gender differences in their use or in citations."
    doi.org/10.1177/08912432261462

    #Gender #GenderBias #Disciplines

  35. Update. "In STEM fields, women first and last authors make fewer novelty claims [defined as "rhetorical statements that frame research as novel"] than men, and this is associated with fewer citations. In humanities and social sciences, novelty claims remain positively associated with citations, but there are no gender differences in their use or in citations."
    doi.org/10.1177/08912432261462

    #Gender #GenderBias #Disciplines

  36. Update. "We calculated the ratio between the overall share of female authors and the share of female corresponding authors [in >220 million publications by ≈ 60 million authors, over the last 125 years]…Our analyses reveal a continuous increase in overall female participation, rising from approximately 10% in the 1910s to over 40% in recent years…However, over the past two decades, this trend has globally inverted, indicating a decline of the traditional [disparity]…Despite these overarching trends, significant disciplinary and regional differences persist."
    arxiv.org/abs/2607.15059

    #Gender #GenderBias

  37. Update. "We calculated the ratio between the overall share of female authors and the share of female corresponding authors [in >220 million publications by ≈ 60 million authors, over the last 125 years]…Our analyses reveal a continuous increase in overall female participation, rising from approximately 10% in the 1910s to over 40% in recent years…However, over the past two decades, this trend has globally inverted, indicating a decline of the traditional [disparity]…Despite these overarching trends, significant disciplinary and regional differences persist."
    arxiv.org/abs/2607.15059

    #Gender #GenderBias

  38. Update. "We calculated the ratio between the overall share of female authors and the share of female corresponding authors [in >220 million publications by ≈ 60 million authors, over the last 125 years]…Our analyses reveal a continuous increase in overall female participation, rising from approximately 10% in the 1910s to over 40% in recent years…However, over the past two decades, this trend has globally inverted, indicating a decline of the traditional [disparity]…Despite these overarching trends, significant disciplinary and regional differences persist."
    arxiv.org/abs/2607.15059

    #Gender #GenderBias

  39. Update. "We calculated the ratio between the overall share of female authors and the share of female corresponding authors [in >220 million publications by ≈ 60 million authors, over the last 125 years]…Our analyses reveal a continuous increase in overall female participation, rising from approximately 10% in the 1910s to over 40% in recent years…However, over the past two decades, this trend has globally inverted, indicating a decline of the traditional [disparity]…Despite these overarching trends, significant disciplinary and regional differences persist."
    arxiv.org/abs/2607.15059

    #Gender #GenderBias

  40. Update. "We calculated the ratio between the overall share of female authors and the share of female corresponding authors [in >220 million publications by ≈ 60 million authors, over the last 125 years]…Our analyses reveal a continuous increase in overall female participation, rising from approximately 10% in the 1910s to over 40% in recent years…However, over the past two decades, this trend has globally inverted, indicating a decline of the traditional [disparity]…Despite these overarching trends, significant disciplinary and regional differences persist."
    arxiv.org/abs/2607.15059

    #Gender #GenderBias

  41. 📝 Mein eigener Genderbias und Gendersprache

    In meinen Texten nutze ich Gendersprache, weil der Nutzen wissenschaftlich belegt ist. Neulich habe ich wieder meinen eigenen Genderbias gemerkt und sehe den Nutzen nochmal direkter.

    Ganzer Beitrag: martin-ueding.de/posts/mein-ei

    #Gesellschaft #Genderbias #Gendersprache

  42. 📝 Mein eigener Genderbias und Gendersprache

    In meinen Texten nutze ich Gendersprache, weil der Nutzen wissenschaftlich belegt ist. Neulich habe ich wieder meinen eigenen Genderbias gemerkt und sehe den Nutzen nochmal direkter.

    Ganzer Beitrag: martin-ueding.de/posts/mein-ei

    #Gesellschaft #Genderbias #Gendersprache

  43. 📝 Mein eigener Genderbias und Gendersprache

    In meinen Texten nutze ich Gendersprache, weil der Nutzen wissenschaftlich belegt ist. Neulich habe ich wieder meinen eigenen Genderbias gemerkt und sehe den Nutzen nochmal direkter.

    Ganzer Beitrag: martin-ueding.de/posts/mein-ei

    #Gesellschaft #Genderbias #Gendersprache

  44. 📝 Mein eigener Genderbias und Gendersprache

    In meinen Texten nutze ich Gendersprache, weil der Nutzen wissenschaftlich belegt ist. Neulich habe ich wieder meinen eigenen Genderbias gemerkt und sehe den Nutzen nochmal direkter.

    Ganzer Beitrag: martin-ueding.de/posts/mein-ei

    #Gesellschaft #Genderbias #Gendersprache