She's Reddit: A source of statistically significant gendered interest information?

Pick a Fight or Bite your Tongue: Investigation of Gender Differences in Idiomatic Language Usage

“…insights from analysis of cross-gender topical preferences on Reddit (Thelwall and Stuart, 2019 On the other hand, there are exceptions to this pattern, such as 'stick to your guns', which is associated more with female speakers. We observe that the explicit language of the surface form of an idiom is not the only factor driving gender-based choices; a plausible assumption would be that the idiomatic interpretation affects these preferences as well.…”

“…The connection between gender and language has also been studied in the field of sociolinguistics (Eckert and McConnell-Ginet, 2013;Lindsey, 2015;Coates, 2015), suggesting (not uncontroversially) that men tend to use linguistic forms and a communicative style reflecting higher tendency to dominance, engagement, and control, while women are more likely to employ positive emotions. Thelwall and Stuart (2019) studied cross-gender participation in various topical threads on Reddit, observing significantly higher engagement of male authors in gaming, technology, and sports, while higher female participation was found in subreddits on personal and domestic advice. Gender-linked distinctions in topical and lexical preferences were also highlighted by Schwartz et al (2013), who demonstrated significant correlation of the presence of certain LIWC categories in a text and its author's gender), as well as by Rangel et al (2017), who reported up to 80% accuracy on a binary gender classification task using ngrams of words.…”

Persona Transparency: Analyzing the Impact of Explanations on Perceptions of Data-Driven Personas

“…Our results provide empirical evidence that the gender of the persona interacts with several persona perceptions that are considered important for application of personas. Even though these gender effects require further investigation, we note that there are indications from prior work in other domains [65] that the quantity and type of information provided can affect how females are perceived [7]. This additionally may impact how male/female personas (and the audiences they represent) are understood within organizations.…”

“…To curb the effect of bias on persona creation, researchers have proposed personas based on largescale quantitative data [2,27,31,58,10,65]. Overall, personas can be classified into three categories according to their usage of data: (a) personas based solely on data, (b) personas based on data but with considerable fictive elements, and (c) entirely fictive personas created without data [39].…”

Automatic Classification of Sexism in Social Networks: An Empirical Study on Twitter Data

“…Sexism may sound "offensive" and "hateful", as in "Humiliate, expose and degrade yourself as the fucking bitch you are if you want a real man to give you attention". However, even the most subtle forms of sexism can be as pernicious as the most violent ones and affect women in many facets of their lives [10], [11], including domestic and parenting roles, career opportunities, sexual image and life expectations, to name a few.…”