2023
DOI: 10.1145/3610173
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Are We Equal Online?: An Investigation of Gendered Language Patterns and Message Engagement on Enterprise Communication Platforms

Sharon A. Ferguson,
Alison Olechowski

Abstract: It was previously hypothesized that gender differences -- and thus gender discrimination -- would disappear if communication was no longer in person, and instead was transmitted and received in the same format for all. Yet, even online, researchers have identified gendered language styles in written communication that reveal gender cues and can lead to unequal treatment. In this work, we revisit these past findings and ask whether the same gendered patterns can be found on modern communication platforms, which… Show more

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Cited by 2 publications
(2 citation statements)
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“…Instant messaging technology, sometimes called enterprise social networks [29] or enterprise communication platforms [32,33], are relied on by remote collaborators [31], and are heavily used by the organization studied here. Instant messaging platforms are helpful for knowledge and information sharing [98], encouraging informal conversations, enabling faster feedback, promoting awareness [88], and capturing decision rationale [95].…”
Section: Collaboration Mechanismsmentioning
confidence: 99%
“…Instant messaging technology, sometimes called enterprise social networks [29] or enterprise communication platforms [32,33], are relied on by remote collaborators [31], and are heavily used by the organization studied here. Instant messaging platforms are helpful for knowledge and information sharing [98], encouraging informal conversations, enabling faster feedback, promoting awareness [88], and capturing decision rationale [95].…”
Section: Collaboration Mechanismsmentioning
confidence: 99%
“…As teams rely increasingly on computer-mediated communication, we propose that the data created on these platforms is an ideal starting point for automating the measurement of PS. We consider text-based messaging platforms, termed Enterprise Communication Platforms (ECPs) [12], as the source of data in this work, as this data reflects the team's work, language, and relationships. Predicting team performance from collaboration data has proven successful in past Human-Computer Interaction (HCI) research [5,16,33]; for example, Cao et al [5]'s prediction of team viability via chat messages.…”
mentioning
confidence: 99%