Gender and genre variation in weblogs

By Susan C. Herring, John C. Paolillo. 2006

415 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Gender Studies, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/2554b8e23d71785231093460a092ef3aeff45683

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Citations in the corpus

Blogging Practices: An Analytical Framework (2007, background): “There also exist significant differences in writing style between male and female bloggers (Schler, Koppel, Argamon, & Pennebaker, 2006), and Herring and Paolillo (2006) have shown that these differences can mainly be explained by differing blog genres.”
Gender as a Variable in Natural-Language Processing: Ethical Considerations (2017, background): “For example, in a study of computer-mediated communication, Herring and Paolillo (2006) assigned gender to blog authors “by examining each blog qualitatively for indications of gender such as ﬁrst names, nicknames, explicit gender statements. . . and gender-indexical language.””
Gender identity and lexical variation in social media (2012, background): “…subject matter of the words characterizing each of these clusters suggests that the topic of discourse plays a crucial role in mediating between gender and the frequent mention of named entities, just as Herring and Paolillo (2006) found genre to play a similar mediating role in blogs.”
A Machine Learning Approach to Twitter User Classification (2011, background): “Researchers investigated the detection of gender from well-written, traditional text (Herring and Paolillo 2010; Singh 2001), blogs (Burger and Hen-derson 2010) reviews (Otterbacher 2010), e-mail (Garera and Yarovsky 2007), user search queries (Jones et al. 2007; Weber and Castillo 2010) and, for…”
Democrats, republicans and starbucks afficionados: user classification in twitter (2011, background): “For example, researchers investigated the detection of gender from wellwritten, traditional text [10], blogs [4] reviews [14], e-mail [9], user search queries [12, 24] and, for the first time, Twitter [19].”
Zooming in on Gender Differences in Social Media (2016, background): “…Schler et al., 2006; Mukherjee and Liu, 2010); the significance of gender differences in self-disclosure strategy in teenage blogs (Huffaker and Calvert, 2005); and the validity of author gender predictions based largely on function words (e.g. pronouns, determiners) (Herring and Paolillo, 2004).”
Computational Sociolinguistics: A Survey (2016, background): “[111] investigated whether gender differences would still be observed when controlling for genre in blogs.”
Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums (2008, background): “Stylistic features have also been shown highly prevalent in other forms of computer-mediated communication, including Web blogs [Herring and Paolillo 2006].”
Classifying latent user attributes in twitter (2010, background): “Early computational models for detecting gender from text were primarily interested in formal text (E.g., Singh [13] and Herring and Paolillo [8]) although standard-prose blogs were considered in later works (Burger and Henderson [3]; Nowson and Oberlander [12]).”
Improving Gender Classification of Blog Authors (2010, methodology): “Finally, we would like to mention that (Herring and Paolillo, 06) has used genre relationships with gender classification.”
Modeling Latent Biographic Attributes in Conversational Genres (2009, methodology): “Another computational study for gender classification using approximately 30 weblog entries was done by Herring and Paolillo (2006), making use of a logistic regression model to study the effect of different features.”
The Routledge Handbook of English for Academic Purposes (2016, background): “Ultimately, however, there is a more intractable problem that is highlighted by Freedman (2007): if the teacher provides top down input, their voice will always have a unique position in the classroom.”
Ethnographic Approaches to Digital Media (2010, background): “…ethical practice rooted in legal and technical tinkering online (Coleman 2009, Kelty 2008); the genre-specific attributes of blogs (Doostdar 2004; Herring & Paolillo 2006; Reed 2005, 2008), the status and microcelebrity gained by Webcasting (Senft 2008), or the blurring of work and pleasure…”
Web Content Analysis: Expanding the Paradigm (2009, background): “For example, Herring and Paolillo (2006) analyzed the frequency of grammatical function words (such as noun determiners and personal pronouns) hypothesized to correspond to male and female writing styles, finding that the two styles better predicted whether the blog was a filter or personal journal…”
Systematic patterning in phonologically‐motivated orthographic variation (2015, background): “A number of studies address the relationship between language and gender, typically with the goal of identifying linguistic features that distinguish the writing of women and men (Herring and Paolillo, 2006; Argamon, Koppel, Pennebaker and Schler, 2007; Bamman, Eisenstein and Schnoebelen, 2014).”