First Women, Second Sex

Graells-Garrido, Eduardo; Lalmas, Mounia; Menczer, Filippo

doi:10.1145/2700171.2791036

Cited by 59 publications

(31 citation statements)

References 37 publications

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“…Wagner et al [48] present a method for assessing gender bias on Wikipedia. Gender bias in Wikipedia is also studied by Graells-Garrido et al [18]. Magno and Weber [33] study gender inequality through user participation in two online social networks, Twitter and Google+, finding, for example, that the gap between the number of users correlates with the gender gap index, i.e., countries with more men than women online are countries with higher gender difference.…”

Section: Related Workmentioning

confidence: 96%

Gender matters! Analyzing global cultural gender preferences for venues using social sensing

et al. 2017

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Gender differences is a phenomenon around the world actively researched by social scientists. Traditionally, the data used to support such studies is manually obtained, often through surveys with volunteers. However, due to their inherent high costs because of manual steps, such traditional methods do not quickly scale to large-size studies. We here investigate a particular aspect of gender differences: preferences for venues. To that end, we explore the use of check-in data collected from Foursquare to estimate cultural gender preferences for venues in the physical world. For that, we first demonstrate that by analyzing the check-in data in various regions of the world we can find significant differences in preferences for specific venues between gender groups. Some of these significant differences reflect well-known cultural patterns. Moreover, we also gathered evidence that our methodology offers useful information about gender preference for venues in a given region in the real world. This suggests that gender and venue preferences observed may not be independent. Our results indicate that our proposed methodology could be a promising tool to support studies on gender preferences for venues at different spatial granularities around the world, being faster and cheaper than traditional methods, besides quickly capturing changes in the real world.

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Section: Related Workmentioning

confidence: 96%

Gender matters! Analyzing global cultural gender preferences for venues using social sensing

et al. 2017

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“…Biographies of women are less well-developed and male editors are less likely to edit women's biographies (Reagle & Rhue, 2011). Studies also have found that the use of language varies between biographies of men and women (Graells-Garrido, Lalmas, & Menczer, 2015;Wagner, Graells-Garrido, Garcia, & Menczer, 2016). Wagner et al (2016) determined that articles on women were more likely to include gendered words like "women," "female," and "lady" compared with articles about men that rarely use gendered words such as "man," "male," or "gentleman."…”

Section: Women and Wikipediamentioning

confidence: 99%

Hacking History: Redressing Gender Inequities on Wikipedia Through an Editathon

Hood

Littlejohn

2018

IRRODL

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Editathons are a relatively new type of learning event, which enable participants to create or edit Wikipedia content on a particular topic. This paper explores the experiences of nine participants of an editathon at the University of Edinburgh on the topic of the Edinburgh Seven, who were the first women to attend medical school in 19th century United Kingdom. This study draws on the critical approach to learning technology to position and explore an editathon as a learning opportunity to increase participants’ critical awareness of how the Internet, open resources, and Wikipedia are shaping how we engage with information and construct knowledge. Within this, there is a particular focus on recognising persisting gender inequities and biases online. The qualitative interviews captured rich narrative learning stories, which traced the journey participants took during the editathon. Participants transformed from being online information consumers to active contributors (editors), prompting new critical understandings and an evolving sense of agency. The participants’ learning was focused in three primary areas: (1) a rewriting of history that redresses gender inequities and the championing of the female voice on Wikipedia (both as editors and subject matter); (2) the role of Wikipedia in shaping society’s access to and engagement with information, particularly information on traditionally marginalised subjects, and the interplay of the individual and the collective in developing and owning that knowledge; and (3) the positioning of traditional media in the digital age.

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“…Then, the statistical significance of the difference between distributions of image groups were tested using chi-square independence tests with Monte Carlo p-value simulations [22]. 11 We also explored how distribution of image categories would look like if one restricts professions to those with more than 70% men or women, respectively.…”

Section: Images Analysismentioning

confidence: 99%

“…For example, romantic relationships and family-related issues are much more frequently discussed about women than men. In [11,28,29] differences between descriptions of male and female biographies in terms of network structure, topical focus, structural properties and language were researched. Thus, several studies suggest that gender bias on Wikipedia can be assessed using articles with biographies.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

"(Weitergeleitet von Journalistin)"

Zagovora

Flöck

Wagner

2017

Proceedings of the 2017 ACM on Web Science Conference

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Previous research has shown the existence of gender biases in the depiction of professions and occupations in search engine results. Such an unbalanced presentation might just as likely occur on Wikipedia, one of the most popular knowledge resources on the Web, since the encyclopedia has already been found to exhibit such tendencies in past studies. Under this premise, our work assesses gender bias with respect to the content of German Wikipedia articles about professions and occupations along three dimensions: used male vs. female titles (and redirects), included images of persons, and names of professionals mentioned in the articles. We further use German labor market data to assess the potential misrepresentation of a gender for each specific profession. Our findings in fact provide evidence for systematic over-representation of men on all three dimensions. For instance, for professional fields dominated by females, the respective articles on average still feature almost two times more images of men; and in the mean, 83% of the mentioned names of professionals were male and only 17% female.

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First Women, Second Sex

Cited by 59 publications

References 37 publications

Gender matters! Analyzing global cultural gender preferences for venues using social sensing

Gender matters! Analyzing global cultural gender preferences for venues using social sensing

Hacking History: Redressing Gender Inequities on Wikipedia Through an Editathon

"(Weitergeleitet von Journalistin)"

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