Knowledge (XXG)

:Writing about women - Knowledge (XXG)

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frequently discussed in their Knowledge (XXG) articles than in articles on men. This suggests differences in how the Knowledge (XXG) community conceptualizes notable men and women. Because modern search and recommendation algorithms exploit both structural and lexical information on Knowledge (XXG), women might be discriminated when it comes to ranking articles about notable people. To reduce such effects, the editor community could pay particular attention to the gender balance of links included in articles about men and women, and could adopt a more gender-balanced vocabulary when writing articles about notable people."
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article that mentions that a person is divorced is 4.7 times more likely about a woman, in the Russian Knowledge (XXG) its 4.8 times more likely about a woman and in the Spanish, Italian and French Knowledge (XXG) it is 4.2 times more likely about a woman. This example shows that a lexical bias is indeed present on Knowledge (XXG) and can be observed consistently across different language editions. This result is in line with (Bamman and Smith 2014) who also observed that in the English Knowledge (XXG) biographies of women disproportionately focus on marriage and divorce compared to those of men."
147: 967: 429: 136: 83: 944:) in the biographies of female actors. Be careful not to include trivia that appeals predominantly to men. A source need not be overtly sexist to set a bad example. For example, most women are underrepresented in certain institutions that are slow to change. Often such institutions can be fine to use as a source for men, but for women, not so much. 31: 269:"Marked" treatment includes describing a person's appearance ahead of their achievements. For example, it is usually unnecessary to describe an individual's hair color, use the word "attractive", or otherwise detail their appearance, especially before clearly describing their significance to the article. 496:
about a man, consider visiting the latter to check that it includes reciprocal information about the relationship; if it merits mention in the woman's article, it is likely germane to his. Failure to mention the relationship in both can affect search algorithms in a way that discriminates against women.
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Women's biographies mention marriage and divorce more often than men's biographies do. Biographies that refer to the subject's divorce are 4.4 times more likely to be about a woman on the English Knowledge (XXG). The figures are similar on the German, Russian, Spanish, Italian, and French Wikipedias.
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Wherever possible, avoid defining a notable woman, particularly in the title or first sentence, in terms of her relationships (wife/mother/daughter of). Do not begin a biography with: "Susan Smith is the daughter of historian Frank Smith and wife of actor John Jones. She is known for her work on game
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According to Graells-Garrido et al. (2015), the lead is a "good proxy for any potential biases expressed by Knowledge (XXG) contributors". The lead may be the only part of an article that is read—especially on mobile devices—so pay close attention to how women are described there. Again, giving women
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First names are sometimes needed for clarity. For example, when writing about a family with the same surname, after the initial introductions they can all be referred to by first names. A first name might also be used when a surname is long and double-barreled, and its repetition would be awkward to
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Wagner et al. (2015): "omen on Knowledge (XXG) tend to be more linked to men than vice versa, which can put women at a disadvantage in terms of—for example—visibility or reachability on Knowledge (XXG). In addition, we find that women's romantic relationships and family-related issues are much more
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he greater frequency and burstiness of words related to cognitive mechanisms in men, as well as the more frequent words related to sexuality in women, may indicate a tendency to objectify women in Knowledge (XXG). ... en are more frequently described with words related to their cognitive processes,
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The focus on relationships in articles about women affects internal linking and, therefore, search engine results. One study found that women on Knowledge (XXG) are more linked to men than men are linked to women. When writing an article about a woman, if you include an internal link to an article
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Avoid language that places being a woman ahead of the subject's achievements. Opening the lead with "Smith was the first woman to do X", or "Smith was the first female X", immediately defines her in terms of men who have done the same thing, and it can inadvertently imply: "She may not have been a
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When introducing a woman as the parent of an article subject, avoid the common construction, "Smith was born in 1960 to John Smith and his wife, Susan." Consider whether there is an editorial reason to begin with the father's name. If not, try "Susan Jones and her husband, John Smith" or, if the
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Wagner et al. (2015): "n the English Knowledge (XXG) an article about a notable person that mentions that the person is divorced is 4.4 times more likely to be about a woman rather than a man. We observe similar results in all six language editions. For example, in the German Knowledge (XXG) an
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Milman (2014): "More stylistic choices by journalists further contributed to the paternalistic construction of the protesters as girls and their subjugation to father-like figures ...he press ... infantilized the protesters by referring to them as "the girls" ... and by using their first names
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When illustrating articles about women's health and bodies, use authoritative medical images wherever possible. Make sure the images accurately represent the topic and would not mislead readers. Be particularly careful when using "before and after" images that purport to show the benefits of a
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Some will set the cart before the horse, as thus: "My mother and my father are both at home", even as though the goodman of the house did wear no breeches, or that the gray mare were the better horse. ... in speaking at the least let us keep a natural order and set the man before the woman for
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researchers found that Knowledge (XXG) articles about women are more likely to discuss their family, romantic relationships, and sexuality, while articles about men are more likely to contain words about cognitive processes and work. This suggests that Knowledge (XXG) articles objectify women.
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very good X, but at least she was the first woman." When prioritizing that the subject is a "first woman", make sure it really is the only notable thing about her. Otherwise start with her own position or accomplishments, and mention the fact that she is a woman afterwards if it is notable.
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while women are more frequently described with words related to sexuality. In the full biography text, the cognitive processes and work concerns categories are more bursty in men biographies, meaning that those aspects of men's lives are more important than others at the individual level."
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In most situations, avoid referring to a woman by her first name, which can serve to infantilize her. As a rule, after the initial introduction ("Susan Smith is an Australian anthropologist"), refer to women by their surnames ("Smith is the author of ...").
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Avoid labelling a woman as a female author or female politician, unless her gender is explicitly relevant to the article. In April 2013 several media stories noted that editors on the English Knowledge (XXG) had begun moving women from
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A woman's relationships are inevitably discussed prominently when essential to her notability, but try to focus on her own notable roles or accomplishments first. For example, consider starting articles about women who were
122:; as of November 2020, only 18.64% of our biographies are about women. This page may help to identify the subtle and more obvious ways in which titles, language, images, and linking practices can discriminate against women. 474:
When discussing a woman married to a man, write "A is married to B" instead of "A is the wife of B", which casts the male as possessor. Avoid the expression "man and wife", which generalizes the husband and
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As of 10 March 2020, the English Knowledge (XXG) hosted 1,693,225 biographies, 291,649 (18.27%) of which were about women. As a result of sourcing issues, almost all biographies before 1900 are of men.
213:, than articles about men are to contain the male equivalents. This suggests that editors see male as the default or null gender, and that biographies are assumed to be of men unless otherwise stated. 1121:
Graells-Garrido, Lalmas and Menczer (2015): "Sex-related content is more frequent in women biographies than men's, while cognition-related content is more highlighted in men biographies than women's."
167:(BLPs) about women was under 20%, but the numbers have been rising steadily since 2012–2013. As of 5 May 2019, the English Knowledge (XXG) hosted 906,720 BLPs, according to figures produced by 229:. Treating a man who is a writer as a "writer" and a woman as a "woman writer" presents women as "marked", or the Other, requiring an adjective to differentiate them from the male default. 479:
the wife. Do not refer to a woman as Mrs. John Smith; when using an old citation that does this, try to find and use the woman's own name, as in: "Susan Smith (cited as Mrs. J. Smith)".
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imagery, where women are presented as objects of heterosexual male appreciation. When adding an image of part of a woman's body, consider cropping the image to focus on that body part.
175:. Wikidata identified 697,402 of these as male and 205,117 as female. The percentages of those that specified a gender were 77.06% male and 22.67% female; 0.27% had another gender. 1013: 590:. Sentences such as "man has difficulty in childbirth" illustrate that these are not grammatically inclusive terms (trans men notwithstanding). Depending on the context, use 364:. It includes parameters for hair and eye colour and previously contained parameters for bust, hip, waist size and weight. The latter were removed in March 2016 following 487:
Jones, and her husband, John", or "Susan and John Smith". Where there are several examples of "X and spouse" in an article, alternate the order of male and female names.
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Avoid using openly sexist sources unless there is a strong editorial reason to use them. For example, do not use pornographic or men's websites and magazines (such as
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Wagner, Claudia; Garcia, David; Jadidi, Mohsen; Strohmaier, Markus (2015). "It's a Man's Knowledge (XXG)? Assessing Gender Inequality in an Online Encyclopedia".
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Among editors of the English Knowledge (XXG) who specify a gender in their preferences, 115,941 (16.7%) were female and 576,106 male as of 13 June 2019.
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Do not refer to adult women as girls or ladies, unless when quoting, using common expressions, proper nouns, or titles that cannot be avoided (e.g.,
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if it mentions that "she's the first woman to ...." The test raises awareness of how gender becomes more important than a person's achievements.
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who have declared a gender say that they are female. The gender disparity, together with the need for reliable sources, contributes to the
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It contains the advice or opinions of one or more Knowledge (XXG) contributors. This page is not an encyclopedia article, nor is it one of
47: 448: 331:, as of the same date, began with the positions they held, and only then said that they were the first or only women to have held them. 2343: 982: 418: 1842:
Graells-Garrido, Eduardo; Lalmas, Mounia; Menczer, Filippo (August 2015). "First Women, Second Sex: Gender Bias in Knowledge (XXG)".
2126: 1868: 222: 2114: 1309: 744:) is increasingly avoided in sentences that might refer to women and men or girls and boys. Instead of "each student must hand in 1954:
Holmes, Janet (2000). "Ladies and gentlemen: corpus analysis and linguistic sexism". In Mair, Christine; Hundt, Marianne (eds.).
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Milman, Noa (2014). "Mothers, Mizrahi, and Poor: Contentious Media Framings of Mothers' Movements". In Woehrle, Lynne M. (ed.).
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McConnell-Ginet, Sally (2014). "Gender and its relation to sex: The myth of 'natural' gender". In Corbett, Greville G. (ed.).
1958:. Freiburg im Breisgau: 20th International Conference on English Language Research on Computerized Corpora, 1999. pp. 143–155. 443:, a professor of botany. Her artistic talent was recognized early on and she became a renowned painter of floral still lifes." 1004:
particular treatment. Check that the images really do show the same woman and that the source of the images can be trusted.
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Avoid images that objectify women. In particular, do not use pornography images in articles that are not about pornography.
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states that "photographs taken in a pornography context would normally be inappropriate for articles about human anatomy".
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When writing about women's health, make sure medical claims are sourced according to the medical sourcing guideline,
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Bodine, Ann (1975). "Androcentrism in prescriptive grammar: singular 'they,' sex-indefinite 'he,' and 'he or she'".
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McConnell-Ginet, Sally (1984). "The origins of sexist language in discourse", in S. J. White and V. Teller (eds.).
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read and write. When a decision is made to use first names for editorial reasons, use them for both women and men.
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Hegarty, Peter (2014). "Ladies and gentlemen: Word order and gender in English". In Corbett, Greville G. (ed.).
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rather than referring to them by their family names as is the custom when writing about political figures ..."
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When writing about a woman who works or has worked as a model but is not primarily known for that role, avoid
1731: 524: 372: 201:. Researchers have found that Knowledge (XXG) articles about women are more likely to contain words such as 1235: 1026:, which in this context refers to studies in which the authors participated. Rely instead on peer-reviewed 957: 358: 2127:"'Blatant sexism': why is a great painter who lived to 101 still defined by a man she left in the 1950s?" 51: 2095: 135: 392: 284: 61: 1907: 1764: 1184: 864: 115: 1030:
that offer an overview of several studies. Secondary sources acceptable for medical claims include
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which said there had been "30 young ladies in the competition", and in a March 2015 revision of
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Women are thought to comprise between 8.5% and 16.1% of editors on the English Knowledge (XXG).
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language, perpetuate sexist stereotypes, or otherwise demonstrate prejudice against women.
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Holmes, Janet (2004). "Power, Ladies and Linguistic Politeness". In Bucholtz, Mary (ed.).
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theory." An example of the kind of title the Knowledge (XXG) community has rejected is
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is an example of an editor correcting the inappropriate use of a woman's first name.
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Rewrite the sentence to remove the pronoun: "student assignments must be handed in."
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Knowledge (XXG):WikiProject Women in Red/Essays/Writing women into the encyclopedia
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Another 2,464 had some other value, 1,220 had none, and 517 were not on Wikidata.
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Alternate between the masculine and feminine in different paragraphs or sections.
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assignment." This is often done to signal the writer's rejection of the generic
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Proceedings of the Ninth International AAAI Conference on Web and Social Media
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For example, as of 10 March 2015, Knowledge (XXG) described Russian chemist
1937: 1706: 2115:"Eight words that reveal the sexism at the heart of the English language" 1783: 1724:
Publication Manual of the American Psychological Association, 6th edition
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solely in terms of four first-woman benchmarks. But the biographies of
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Proceedings of the 26th ACM Conference on Hypertext & Social Media
347:) and a source of discrimination against women. For example, the word 2018: 929: 108: 89: 2202:
The Handbook of Nonsexist Writing for Writers, Editors and Speakers
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Avoid language and images that make male the "Self" and female the
1650: 1648: 1291:"More Like Dude-ipedia: Study Shows Knowledge (XXG)'s Sexist Bias" 965: 427: 81: 2079:"Monitoring the Gender Gap with Wikidata Human Gender Indicators" 16:"WP:WAW" redirects here. For the "words as words" guideline, see 1329:"Knowledge (XXG) bumps women from 'American novelists' category" 368:. If you add an infobox (they are not required), consider using 351:
is more likely to appear in a woman's infobox than in a man's.
225:, while leaving men in the main category. Linguists call this 25: 1772:
Transactions of the Association for Computational Linguistics
703:, which discussed "the different numbers of men and ladies". 266:"marked" treatment can convey subtle assumptions to readers. 2247:
Speaking Freely: Unlearning the Lies of the Fathers' Tongues
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Except when the topic is necessarily tied to it (examples:
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Rewrite the sentence in the plural: "students must hand in
1846:. HT '15. New York: Association for Computing Machinery. 2304:, West Sussex: John Wiley & Sons; 2nd edition, 2014. 2257:
You Just Don't Understand: Women and Men in Conversation
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Frank, Francine Harriet and Treichler, Paula A. (1989).
2044:. Pennsylvania: The Pennsylvania State University Press. 1635:"Ladies First: German Universities Edit Out Gender Bias" 2003:. Bingley: Emerald Group Publishing Limited. pp. 53–82. 1754:
pronoun". In Renouf, Antoinette; Kehoe, Andrew (eds.).
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Knowledge (XXG):Identifying reliable sources (medicine)
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Lakoff, Robin Tolmach (2004) . Bucholtz, Mary (ed.).
1549: 1158: 1156: 767:, the "linguistic equivalent of affirmative action". 2232:. New York: Modern Language Association of America. 1310:"Knowledge (XXG)'s Sexism Toward Female Novelists" 1179: 1177: 759:Use feminine pronouns: "each student must hand in 483:woman has taken her husband's name, "Susan Smith, 2291:Language and Woman's Place: Text and Commentaries 1983:Language and Woman's Place: Text and Commentaries 1947:Language and Woman's Place: Text and Commentaries 1833:Eckert, Penelope; McConnell-Ginet, Sally (2003). 1756:Corpus Linguistics: Refinements and Reassessments 2040:Wilson, Thomas (1994) . Medine, Peter E. (ed.). 1963:Huddleston, Rodney; Pullum, Geoffrey K. (2002). 1686: 1666: 1654: 1604: 2302:The Handbook of Language, Gender, and Sexuality 2225:. London: Routledge; revised 2nd edition, 1992. 1616: 618: 454: 304: 1965:The Cambridge Grammar of the English Language 1689:, 493; for a history of "singular they", see 1345:For marked and unmarked, see Deborah Tannen, 1185:"Gender by language: All time, as of Mar '20" 8: 2077:Klein, Maximilian, et al. (17 August 2016). 2237:The Feminist Critique of Language: A Reader 1737:(Report). Wikimedia Foundation. April 2011. 1726:. American Psychological Association. 2009. 1595:, en.wikipedia.org, accessed 12 March 2015. 1465: 1420:, en.wikipedia.org, accessed 10 March 2015. 1404:, en.wikipedia.org, accessed 10 March 2015. 716:Gender-specific and gender-neutral pronouns 582:Do not refer to human beings as a group as 527:when describing professions and positions: 435:, Amsterdam, 2017, the artist's hometown: " 306:An article about a woman does not pass the 2230:Language, Gender, and Professional Writing 2213:Annals of the New York Academy of Sciences 2185:Words and Women: New Language in New Times 1742:Adami, Elisabetta (2009). "To each reader 1454:Graells-Garrido, Lalmas & Menczer 2015 1442:Graells-Garrido, Lalmas & Menczer 2015 1430:Graells-Garrido, Lalmas & Menczer 2015 1390:Graells-Garrido, Lalmas & Menczer 2015 1375:Graells-Garrido, Lalmas & Menczer 2015 1222:Graells-Garrido, Lalmas & Menczer 2015 1187:. Wikidata Human Gender Indicators (WHGI). 2312:A Beginner's Guide to Language and Gender 2086:"The hidden sexism in workplace language" 2017: 1974:A Beginner's Guide to Language and Gender 1928: 1919: 1894:Hill, Benjamin Mako; Shaw, Aaron (2013). 1851: 1052:Knowledge (XXG) talk:WikiProject Medicine 639:The order in which groups are introduced— 114:As of June 2019, 16.7% of editors on the 2278:, Cambridge: Cambridge University Press. 2113:Shariatmadari, David (27 January 2016). 1967:. Cambridge: Cambridge University Press. 1956:Corpus Linguistics and Linguistic Theory 1236:"Gender and deletion on Knowledge (XXG)" 1209: 1070:Knowledge (XXG):WikiProject Women in Red 840: 821:assignment". It is most often used with 799:Use a composite form for the nominative— 695:can be seen in a March 2015 revision of 48:Knowledge (XXG)'s policies or guidelines 2275:Gender Shifts in the History of English 2269:, New York: Cambridge University Press. 2110:to modify nouns, as in "woman doctor"). 1837:. New York: Cambridge University Press. 1694: 1533: 1152: 1086: 748:assignment", try one of the following. 2200:Miller, Casey and Swift, Kate (1980). 2063:User:Tony1/How to improve your writing 1690: 1573: 1565: 1557: 1517: 1362: 983:Knowledge (XXG):Manual of Style/Images 105:writing about women on Knowledge (XXG) 2074:, TEDx (discusses sexualized images). 2029:"Do's and Don'ts for Singular 'They'" 1670: 1624: 1289:Titlow, John Paul (2 February 2015). 387:Defining women by their relationships 339:Infoboxes are an important source of 7: 2293:. New York: Oxford University Press. 2209:Discourse and Reading in Linguistics 1985:. New York: Oxford University Press. 1949:. New York: Oxford University Press. 1501: 1252: 2349:Knowledge (XXG) essays about gender 2317:Corbett, Greville G. (ed.) (2014). 2265:and McConnell-Ginet, Sally (2003). 2204:. New York: Lippincott and Crowell. 2197:, London: Routledge and Kegan Paul. 2072:"Growing Up in a Pornified Culture" 2001:Intersectionality and Social Change 1763:Bamman, David; Smith, Noel (2014). 1529: 1308:Amanda Filipacchi (24 April 2013). 1197: 1164:"Overall ratio of declared genders" 1072:, addressing the content gender gap 685:Ladies' Gaelic Football Association 185:Other (philosophy) § Sex and gender 2285:(original text), in Robin Lakoff, 419:Sarah Brown (wife of Gordon Brown) 52:thoroughly vetted by the community 14: 2239:. London and New York: Routledge. 1550:Eckert & McConnell-Ginet 2003 1050:. When in doubt, ask for help at 895:When someone leaves the library, 223:Category:American women novelists 2314:, Bristol: Multilingual Matters. 1022:. As a rule this means avoiding 579:) unless the topic requires it. 145: 134: 29: 23:Essay on editing Knowledge (XXG) 2235:Cameron, Deborah (ed.) (1990). 1732:Knowledge (XXG) Editors' Survey 464:First Lady of the United States 120:gender imbalance of our content 2223:Feminism and Linguistic Theory 2084:Peters, Mark (30 March 2017). 2027:Whitman, Neal (4 March 2010). 1633:Wilder, Charly (5 July 2013). 1327:Alison Flood (25 April 2013). 870:Independent possessive pronoun 1: 2344:Knowledge (XXG) how-to essays 2173:. New York: Harper & Row. 2125:Hessel, Katy (12 June 2023). 888:When I greet a friend, I hug 817:: "each student must hand in 165:biographies of living persons 107:, ensure articles do not use 93: 2160:"Language and women's place" 2096:"Language: Woman vs. female" 1921:10.1371/journal.pone.0065782 1687:Huddleston & Pullum 2002 1667:Huddleston & Pullum 2002 1655:Huddleston & Pullum 2002 1605:Huddleston & Pullum 2002 1347:"Marked Women, Unmarked Men" 881:When I tell someone a joke, 865:Dependent possessive pronoun 720:Gender neutrality in English 691:). The inappropriate use of 519:Gender marking in job titles 2259:, New York: William Morrow. 2249:, New York: Pergamon Press. 1351:The New York Times Magazine 1234:Gray, Andrew (6 May 2019). 971:Girl Straightening Her Hair 776:Write out the alternatives— 279:Finkbeiner test § Checklist 219:Category:American novelists 2365: 2283:Language and Woman's Place 2171:Language and Women's Place 1011: 951: 713: 508: 390: 282: 276: 236: 182: 163:In 2009 the percentage of 59: 15: 2187:. Anchor Press/Doubleday. 1812:10.1017/S0047404500004607 909:Each person drives there 2319:The Expression of Gender 1992:The Expression of Gender 1887:The Expression of Gender 902:A friend lets me borrow 707:Pronouns: Avoid generic 1976:. Multilingual Matters. 1862:10.1145/2700171.2791036 1466:Bamman & Smith 2014 1066:, Gender gap task force 724:The use of the generic 571:. Avoid adding gender ( 505:Gender-neutral language 179:Male is not the default 116:English Knowledge (XXG) 2339:Knowledge (XXG) essays 2281:Lakoff, Robin (2004). 2169:Lakoff, Robin (1975). 1972:Jule, Allyson (2008). 1758:. Rodopi. pp. 281–307. 978: 958:Sexual objectification 623: 459: 444: 312: 261:Importance of the lead 100: 92:by an unknown artist, 2272:Curzon, Anne (2003). 1709:, Geek Feminism Wiki. 1693:, p. 131ff. Also see 1285:MIT Technology Review 996:), avoid examples of 969: 431: 85: 50:, as it has not been 2321:. Walter de Gruyter. 1994:. Walter de Gruyter. 1889:. Walter de Gruyter. 1784:10.1162/tacl_a_00189 1617:McConnell-Ginet 2014 1589:"Miss Universe 1956" 1210:Hill & Shaw 2013 661:ladies and gentlemen 525:gender-neutral nouns 439:was the daughter of 2300:, ] (eds.) (2005). 2267:Language and Gender 2164:Language in Society 2070:(2 December 2014). 2042:The Art of Rhetoric 1912:2013PLoSO...865782H 1835:Language and Gender 1800:Language in Society 1287:, 2 February 2015. 846: 515:Language and gender 421:(now a redirect to 2100:The New York Times 1490:Wagner et al. 2015 1478:Wagner et al. 2015 1314:The New York Times 1269:Wagner et al. 2015 1168:quarry.wmflabs.org 1048:medical guidelines 1040:literature reviews 1036:systematic reviews 979: 913:(or, nonstandard, 841: 697:Miss Universe 1956 657:brother and sister 632:Arte of Rhetorique 445: 101: 2298:Meyerhoff, Miriam 2195:Man Made Language 2102:(discusses using 2094:(18 March 2007). 1418:Margaret Thatcher 1240:generalist.org.uk 1028:secondary sources 921: 920: 329:Margaret Thatcher 80: 79: 2356: 2296:Ehrlich, Susan, 2263:Eckert, Penelope 2219:Cameron, Deborah 2136: 2045: 2036: 2023: 2021: 2004: 1995: 1986: 1977: 1968: 1959: 1950: 1941: 1932: 1923: 1890: 1881: 1855: 1838: 1829: 1794: 1769: 1759: 1738: 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1944: 1893: 1884: 1871: 1841: 1832: 1797: 1767: 1762: 1741: 1734: 1730: 1722: 1718: 1713: 1705: 1701: 1685: 1681: 1665: 1661: 1653: 1646: 1615: 1611: 1603: 1599: 1587: 1583: 1548: 1544: 1528: 1524: 1516: 1512: 1500: 1496: 1488: 1484: 1476: 1472: 1464: 1460: 1452: 1448: 1440: 1436: 1428: 1424: 1412: 1408: 1400: 1396: 1388: 1381: 1373: 1369: 1361: 1357: 1353:, 20 June 1993. 1344: 1340: 1326: 1325: 1321: 1307: 1306: 1302: 1279: 1275: 1267: 1263: 1251: 1247: 1233: 1232: 1228: 1220: 1216: 1208: 1204: 1196: 1192: 1183: 1182: 1175: 1170:. 13 June 2019. 1162: 1161: 1154: 1150: 1145: 1139: 1135: 1129: 1125: 1120: 1116: 1110: 1106: 1101: 1097: 1092: 1088: 1084: 1060: 1032:review articles 1024:primary sources 1016: 1010: 964: 950: 926: 722: 712: 681:ladies' singles 677:lady-in-waiting 669: 645:male and female 637: 625: 621:manners' sake. 616: 521: 507: 502: 493: 472: 441:Frederik Ruysch 414: 413: 406: 399: 395: 389: 384: 375: 369: 366:this discussion 361: 355: 337: 313: 308:Finkbeiner test 303: 299: 298: 291: 287: 281: 275: 263: 258: 241: 235: 195: 181: 154: 153: 152: 151: 150: 141: 140: 139: 128: 96: 76: 75: 68: 64: 56: 55: 30: 24: 21: 12: 11: 5: 2362: 2360: 2352: 2351: 2346: 2341: 2331: 2330: 2323: 2322: 2315: 2305: 2294: 2279: 2270: 2260: 2250: 2240: 2233: 2226: 2216: 2205: 2198: 2188: 2174: 2167: 2166:, 2(1), 45–80. 2158:(April 1973). 2152: 2151: 2150: 2138: 2137: 2122: 2111: 2089: 2082: 2075: 2065: 2059: 2052: 2049: 2047: 2046: 2037: 2033:vocabulary.com 2024: 2005: 1996: 1987: 1978: 1969: 1960: 1951: 1942: 1891: 1882: 1869: 1839: 1830: 1806:(2): 129–146. 1795: 1760: 1739: 1728: 1719: 1717: 1714: 1712: 1711: 1699: 1679: 1659: 1644: 1609: 1597: 1581: 1542: 1522: 1510: 1494: 1482: 1470: 1458: 1446: 1434: 1422: 1406: 1394: 1379: 1367: 1355: 1338: 1319: 1300: 1273: 1261: 1245: 1226: 1214: 1202: 1190: 1173: 1151: 1149: 1146: 1144: 1143: 1133: 1123: 1114: 1104: 1095: 1085: 1083: 1080: 1079: 1078: 1073: 1067: 1059: 1056: 1009: 1008:Medical issues 1006: 975:Magnus Enckell 949: 946: 925: 922: 919: 918: 907: 900: 893: 886: 878: 877: 872: 867: 862: 860: 855: 853: 839: 838: 808: 797: 774: 771: 768: 757: 711: 705: 668: 665: 617: 615: 612: 569:police officer 506: 503: 501: 498: 492: 491:Internal links 489: 471: 468: 412: 411: 404: 396: 391: 388: 385: 383: 380: 373:Infobox person 336: 333: 301: 300: 297: 296: 288: 283: 274: 271: 262: 259: 257: 254: 234: 231: 180: 177: 144: 143: 142: 133: 132: 131: 130: 129: 127: 124: 78: 77: 74: 73: 65: 60: 57: 45: 44: 36: 34: 22: 13: 10: 9: 6: 4: 3: 2: 2361: 2350: 2347: 2345: 2342: 2340: 2337: 2336: 2334: 2327: 2320: 2316: 2313: 2309: 2308:Jule, Allyson 2306: 2303: 2299: 2295: 2292: 2288: 2287:Mary Bucholtz 2284: 2280: 2277: 2276: 2271: 2268: 2264: 2261: 2258: 2254: 2251: 2248: 2244: 2241: 2238: 2234: 2231: 2227: 2224: 2220: 2217: 2214: 2210: 2206: 2203: 2199: 2196: 2192: 2191:Spender, Dale 2189: 2186: 2182: 2178: 2177:Miller, Casey 2175: 2172: 2168: 2165: 2161: 2157: 2156:Lakoff, Robin 2154: 2153: 2149: 2146: 2145: 2144: 2143: 2142:Books, papers 2134: 2133: 2128: 2123: 2120: 2116: 2112: 2109: 2105: 2101: 2097: 2093: 2090: 2087: 2083: 2080: 2076: 2073: 2069: 2066: 2064: 2061: 2060: 2058: 2057: 2050: 2043: 2038: 2034: 2030: 2025: 2020: 2015: 2011: 2006: 2002: 1997: 1993: 1988: 1984: 1979: 1975: 1970: 1966: 1961: 1957: 1952: 1948: 1943: 1939: 1936: 1931: 1927: 1922: 1917: 1913: 1909: 1906:(6): e65782. 1905: 1901: 1897: 1892: 1888: 1883: 1879: 1876: 1872: 1870:9781450333955 1867: 1863: 1859: 1854: 1849: 1845: 1840: 1836: 1831: 1827: 1824: 1820: 1817: 1813: 1809: 1805: 1801: 1796: 1792: 1789: 1785: 1781: 1777: 1773: 1766: 1761: 1757: 1753: 1749: 1745: 1740: 1733: 1729: 1725: 1721: 1720: 1715: 1708: 1703: 1700: 1696: 1692: 1688: 1683: 1680: 1676: 1672: 1668: 1663: 1660: 1656: 1651: 1649: 1645: 1642: 1640: 1636: 1630: 1626: 1622: 1618: 1613: 1610: 1606: 1601: 1598: 1594: 1590: 1585: 1582: 1579: 1575: 1571: 1567: 1563: 1559: 1555: 1551: 1546: 1543: 1539: 1535: 1532:, pp. 72–73; 1531: 1526: 1523: 1519: 1514: 1511: 1507: 1503: 1498: 1495: 1491: 1486: 1483: 1479: 1474: 1471: 1467: 1462: 1459: 1455: 1450: 1447: 1443: 1438: 1435: 1431: 1426: 1423: 1419: 1415: 1414:Indira Gandhi 1410: 1407: 1403: 1398: 1395: 1391: 1386: 1384: 1380: 1376: 1371: 1368: 1364: 1359: 1356: 1352: 1348: 1342: 1339: 1334: 1330: 1323: 1320: 1315: 1311: 1304: 1301: 1298: 1296: 1292: 1286: 1282: 1277: 1274: 1270: 1265: 1262: 1258: 1254: 1249: 1246: 1241: 1237: 1230: 1227: 1223: 1218: 1215: 1211: 1206: 1203: 1199: 1194: 1191: 1186: 1180: 1178: 1174: 1169: 1165: 1159: 1157: 1153: 1147: 1137: 1134: 1127: 1124: 1118: 1115: 1108: 1105: 1099: 1096: 1090: 1087: 1081: 1077: 1074: 1071: 1068: 1065: 1062: 1061: 1057: 1055: 1053: 1049: 1045: 1044:meta-analyses 1041: 1037: 1033: 1029: 1025: 1021: 1015: 1007: 1005: 1001: 999: 995: 991: 986: 984: 976: 972: 968: 963: 959: 955: 947: 945: 943: 942: 937: 936: 931: 923: 916: 912: 908: 905: 901: 898: 894: 891: 887: 884: 880: 879: 876: 873: 871: 868: 866: 863: 859: 856: 852: 849: 848: 845: 836: 832: 828: 824: 820: 816: 815: 809: 806: 802: 798: 795: 791: 787: 783: 779: 775: 772: 769: 766: 762: 758: 756:assignments." 755: 751: 750: 749: 747: 743: 739: 735: 731: 727: 721: 717: 710: 706: 704: 702: 698: 694: 690: 686: 682: 678: 674: 667:Girls, ladies 666: 664: 662: 658: 654: 650: 646: 642: 641:man and woman 636: 633: 629: 628:Thomas Wilson 622: 613: 611: 609: 608:men and women 605: 604:women and men 601: 597: 593: 589: 585: 580: 578: 574: 570: 566: 562: 558: 554: 550: 546: 542: 538: 534: 530: 526: 520: 516: 512: 504: 499: 497: 490: 488: 486: 480: 478: 469: 467: 465: 458: 453: 450: 442: 438: 437:Rachel Ruysch 434: 430: 426: 424: 420: 409: 405: 402: 398: 397: 394: 386: 382:Relationships 381: 379: 374: 367: 360: 359:Infobox model 352: 350: 346: 342: 334: 332: 330: 326: 325:Indira Gandhi 322: 317: 311: 309: 302:"First woman" 294: 293:WP:FIRSTWOMAN 290: 289: 286: 280: 272: 270: 267: 260: 255: 253: 249: 247: 240: 232: 230: 228: 224: 220: 214: 212: 208: 204: 200: 194: 193:Androcentrism 190: 186: 178: 176: 174: 170: 166: 161: 157: 148: 137: 125: 123: 121: 117: 112: 110: 106: 91: 88: 84: 71: 67: 66: 63: 58: 53: 49: 43: 41: 35: 28: 27: 19: 2325: 2318: 2311: 2301: 2290: 2282: 2273: 2266: 2256: 2246: 2236: 2229: 2222: 2212: 2208: 2201: 2194: 2184: 2170: 2163: 2147: 2141: 2140: 2132:The Guardian 2130: 2119:The Guardian 2118: 2107: 2103: 2099: 2055: 2054: 2041: 2032: 2019:1501.06307v1 2009: 2000: 1991: 1982: 1973: 1964: 1955: 1946: 1903: 1899: 1886: 1843: 1834: 1803: 1799: 1775: 1771: 1755: 1751: 1747: 1743: 1723: 1702: 1695:Whitman 2010 1682: 1662: 1638: 1632: 1612: 1600: 1584: 1545: 1534:Hegarty 2014 1525: 1513: 1497: 1485: 1473: 1461: 1449: 1437: 1425: 1409: 1402:Anna Volkova 1397: 1370: 1358: 1350: 1341: 1333:The Guardian 1332: 1322: 1313: 1303: 1295:Fast Company 1294: 1288: 1284: 1276: 1264: 1248: 1239: 1229: 1217: 1205: 1193: 1167: 1136: 1126: 1117: 1107: 1098: 1089: 1017: 1002: 987: 980: 970: 939: 933: 927: 914: 910: 903: 896: 889: 882: 843: 834: 830: 826: 822: 818: 813: 804: 800: 793: 789: 785: 781: 777: 764: 760: 753: 745: 741: 737: 733: 725: 723: 708: 692: 673:leading lady 670: 660: 656: 652: 649:Mr. and Mrs. 648: 644: 640: 638: 631: 624: 619: 607: 603: 600:human beings 599: 595: 591: 587: 583: 581: 576: 573:female pilot 572: 568: 564: 560: 556: 552: 548: 544: 540: 536: 532: 528: 522: 494: 484: 481: 473: 460: 455: 446: 415: 353: 348: 338: 321:Anna Volkova 318: 314: 305: 268: 264: 250: 242: 239:MOS:LASTNAME 233:Use surnames 215: 210: 206: 202: 196: 189:Male as norm 162: 158: 155: 113: 104: 102: 86: 37: 2181:Swift, Kate 2106:instead of 2068:Dines, Gail 2012:: 454–463. 1778:: 363–376. 1716:Works cited 1707:"Male gaze" 1691:Bodine 1975 1639:Der Spiegel 1593:Mixer dance 1574:Holmes 2000 1566:Holmes 2004 1558:Lakoff 2004 1518:Wilson 1994 1363:Milman 2014 1012:Main page: 962:Scopophilia 728:(masculine 701:Mixer dance 553:firefighter 433:Rijksmuseum 273:First woman 169:Andrew Gray 38:This is an 2333:Categories 1853:1502.02341 1671:Adami 2009 1669:, p. 493; 1625:Adami 2009 1148:References 990:downblouse 952:See also: 911:themselves 858:Accusative 854:(subject) 851:Nominative 786:his or her 782:him or her 714:See also: 689:First Lady 614:Word order 577:male nurse 509:See also: 277:See also: 237:See also: 227:markedness 183:See also: 1826:146362006 1657:, p. 493. 1607:, p. 492. 1520:, p. 193. 1502:Jule 2008 1480:, p. 460. 1468:, p. 369. 1253:Jule 2008 998:male-gaze 954:Male gaze 875:Reflexive 861:(object) 842:Singular 812:singular 778:he or she 596:humankind 541:bartender 447:In 2015, 408:WP:SPOUSE 393:Shortcuts 378:instead. 335:Infoboxes 2310:(2008). 2255:(1990). 2245:(1990). 2221:(1985). 2193:(1980). 2183:(1976). 1938:23840366 1900:PLOS ONE 1791:10896312 1530:APA 2009 1198:WMF 2011 1058:See also 1020:WP:MEDRS 915:themself 831:everyone 810:Use the 732:such as 730:pronouns 634:, 1553). 592:humanity 549:comedian 500:Language 470:Marriage 341:metadata 285:Shortcut 173:Wikidata 62:Shortcut 2289:(ed.), 2056:General 1930:3694126 1908:Bibcode 1878:1082360 1819:4166805 1675:294–295 1629:297–298 1578:143–155 1570:151–157 1492:, p. 9. 1456:, p. 2. 1432:, p. 4. 1392:, p. 8. 1377:, p. 3. 1200:, p. 2. 1064:WP:GGTF 994:upskirt 935:Playboy 924:Sources 823:someone 794:his/her 790:him/her 588:mankind 537:aviator 511:MOS:GNL 345:DBpedia 199:"Other" 18:MOS:WAW 2108:female 2088:, BBC. 1673:, pp. 1627:, pp. 1576:, pp. 1552:, pp. 1536:, pp. 977:, 1902 960:, and 948:Images 938:, and 930:AskMen 904:theirs 885:laugh. 835:no one 827:anyone 693:ladies 533:author 517:, and 349:spouse 207:female 191:, and 171:using 109:sexist 90:fresco 87:Sappho 70:WP:WAW 2104:woman 2014:arXiv 1875:S2CID 1848:arXiv 1823:S2CID 1816:JSTOR 1788:S2CID 1768:(PDF) 1750:, or 1748:their 1735:(PDF) 1619:, p. 1562:52–56 1554:38–39 1365:, 73. 1255:, p. 1082:Notes 941:Maxim 897:their 819:their 805:(s)he 754:their 606:, or 545:chair 529:actor 477:marks 343:(see 203:woman 103:When 40:essay 2179:and 1935:PMID 1866:ISBN 1591:and 1257:13ff 1046:and 1038:and 992:and 890:them 883:they 844:they 814:they 801:s/he 718:and 565:poet 561:hero 523:Use 327:and 246:Here 211:lady 209:and 126:Data 1926:PMC 1916:doi 1858:doi 1808:doi 1780:doi 1752:her 1744:his 1042:), 973:by 917:). 803:or 761:her 746:his 742:his 738:him 586:or 584:man 485:née 449:ACM 425:). 221:to 2335:: 2211:. 2162:. 2129:. 2117:. 2098:, 2031:. 1933:. 1924:. 1914:. 1902:. 1898:. 1873:. 1864:. 1856:. 1821:. 1814:. 1802:. 1786:. 1774:. 1770:. 1746:, 1647:^ 1641:. 1637:, 1631:. 1623:; 1621:33 1572:; 1568:, 1564:; 1560:, 1556:; 1538:69 1506:14 1504:, 1416:, 1382:^ 1349:, 1331:. 1312:. 1297:. 1293:, 1283:, 1238:. 1176:^ 1166:. 1155:^ 1054:. 956:, 932:, 833:, 829:, 825:, 792:, 788:; 784:, 780:, 765:he 740:, 736:, 734:he 726:he 709:he 687:, 683:, 679:, 675:, 659:, 655:, 651:, 647:, 643:, 626:— 610:. 602:, 598:, 594:, 575:, 567:, 563:, 559:, 555:, 551:, 547:, 543:, 539:, 535:, 531:, 513:, 376:}} 370:{{ 362:}} 356:{{ 205:, 187:, 99:CE 97:50 94:c. 2326:‎ 2135:. 2121:. 2035:. 2022:. 2016:: 1940:. 1918:: 1910:: 1904:8 1880:. 1860:: 1850:: 1828:. 1810:: 1804:4 1793:. 1782:: 1776:2 1697:. 1677:. 1540:. 1508:. 1335:. 1316:. 1271:. 1259:. 1242:. 1224:. 1212:. 1034:( 906:. 892:. 837:. 807:. 796:. 630:( 42:. 20:.

Index

MOS:WAW
essay
Knowledge (XXG)'s policies or guidelines
thoroughly vetted by the community
Shortcut
WP:WAW

fresco
sexist
English Knowledge (XXG)
gender imbalance of our content
graph
graph
biographies of living persons
Andrew Gray
Wikidata
Other (philosophy) § Sex and gender
Male as norm
Androcentrism
"Other"
Category:American novelists
Category:American women novelists
markedness
MOS:LASTNAME
Here
Finkbeiner test § Checklist
Shortcut
WP:FIRSTWOMAN
Finkbeiner test
Anna Volkova

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