Tie-breaker: Using language models to quantify gender bias in sports journalism

Fu, Liye; Danescu-Niculescu-Mizil, Cristian; Lee, Lillian

doi:10.48550/arxiv.1607.03895

Cited by 15 publications

(5 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, exploratory analysis utilizing t-SNE and vector arithmetic proved useful in identifying clusters of terms and users. Our methods contribute to growing literature on constructing language models to identify and unpack gendered phenomena; for instance, we can draw a parallel to models by Fu et al (2016) that found questions posed by journalists to professional female tennis players objectified women, while questions posed to male players were gamerelated, and by Way et al (2016), who found subtle gender inequalities in faculty hiring practices among universities of different rankings and career trajectories. Our methods can be generally applied to analyze the different user interaction patterns in any chat-based online platform.…”

Section: Discussionmentioning

confidence: 99%

Gendered Conversation in a Social Game-Streaming Platform

Nakandala

Ciampaglia

et al. 2017

ICWSM

View full text Add to dashboard Cite

Online social media and games are increasingly replacing offline social activities. Social media is now an indispensable mode of communication; online gaming is not only a genuine social activity but also a popular spectator sport. Although online interaction shrinks social and geographical barriers, it is argued that social disparities, such as gender inequality, persists. For instance, online gaming communities have been criticized for objectifying women, which is a pressing question as gaming evolves into a social platform. However, few large-scale, systematic studies of gender inequality and objectification in social gaming platforms exist. Here we analyze more than one billion chat messages from Twitch, a social game-streaming platform, to study how the gender of streamers is associated with the nature of conversation. We find that female streamers receive significantly more objectifying comments while male streamers receive more game- related comments. This difference is more pronounced for popular streamers. We also show that the viewers’ choice of channels is also strongly gendered. Our findings suggest that gendered conversation and objectification is prevalent, and most users produce strongly gendered messages.

show abstract

Section: Discussionmentioning

confidence: 99%

Gendered Conversation in a Social Game-Streaming Platform

Nakandala

Ciampaglia

et al. 2017

ICWSM

View full text Add to dashboard Cite

show abstract

“…We observed evidence for a male bias on the German speaking Web, i.e., for most of professions one can find much more sources for male than female professions. Moreover, several studies [10,25] reveal gender bias and stereotypes in mass media. I.e., apart from gender equality of the editor base, having transparent guidelines and rules towards representative equality in article content might prove just as useful to decrease gender disparities of individual articles; defining clear target audience groups and contemplating suitability of the content for those readers might likewise be helpful.…”

Section: Discussionmentioning

confidence: 99%

"(Weitergeleitet von Journalistin)"

Zagovora

Flöck

Wagner

2017

Proceedings of the 2017 ACM on Web Science Conference

View full text Add to dashboard Cite

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.

show abstract

“…According to a study by Fu, Danescu-Niculescu-Mizil, and Lee (2016), a public initiative that urges the media to focus on sports performance suggested that female athletes got more 'sexist commentary' and 'inappropriate interview questions' compared to their male colleagues, which was clearly visible in a video from 2015, which showed male athletes' awkward reactions to receiving questions that are usually posed to female athletes. However, their research results showed that the questions posed to male athletes were generally more game-related than those posed to female athletes (Fu, Danescu-Niculescu-Mizil, Lee, 2016). Furthermore, an analysis of online articles from 2009 discovered that more descriptors associated with the physical appearance and personal lives pertain to male basketball players, as compared to female ones.…”

Section: Language Gender and Sportsmentioning

confidence: 99%

Language and Gender: Attitudes Towards the Use of Gender-Sensitive Language Among Students of Sports

Bošković Marković

2023

TEME

View full text Add to dashboard Cite

The aim of this paper is to analyse the attitudes of students of sports towards the use of gender-sensitive language in the Serbian language. As the correlation between language and gender has been a hot topic in Serbia in the last two years, this paper presents an overview of some of the studies related to language, gender and sports. The theoretical section of this paper covers some main terms such as gender-sensitive language and the connection among language, gender and sport. The aim of the study conducted for the purposes of this paper was to determine whether male and female students of sports have positive or negative attitudes toward the use of gender-sensitive language in contemporary society and in their everyday speech. The study was conducted by using an anonymous survey with open-ended and closed questions, and it included 281 participants. The study results show that students of sports are still not aware of the increasingly widespread use of gender-sensitive language, and that they are not interested in learning about the theoretical aspects of this issue.

show abstract

Tie-breaker: Using language models to quantify gender bias in sports journalism

Cited by 15 publications

References 16 publications

Gendered Conversation in a Social Game-Streaming Platform

Gendered Conversation in a Social Game-Streaming Platform

"(Weitergeleitet von Journalistin)"

Language and Gender: Attitudes Towards the Use of Gender-Sensitive Language Among Students of Sports

Contact Info

Product

Resources

About