short-paper

Barriers for Social Inclusion in Online Software Engineering Communities - A Study of Offensive Language Use in Gitter Projects

Authors:

Bastin Tony Roy Savarimuthu,

Zoofishan Zareen,

Jithin Cheriyan,

Muhammad Yasir,

Matthias GalsterAuthors Info & Claims

EASE '23: Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering

Pages 217 - 222

https://doi.org/10.1145/3593434.3593463

Published: 14 June 2023 Publication History

Abstract

Social inclusion is a fundamental feature of thriving societies. This paper first investigates barriers for social inclusion in online Software Engineering (SE) communities, by identifying a set of 11 attributes and organising them as a taxonomy. Second, by applying the taxonomy and analysing language used in the comments posted by members in 189 Gitter projects (with > 3 million comments), it presents the evidence for the social exclusion problem. It employs a keyword-based search approach for this purpose. Third, it presents a framework for improving social inclusion in SE communities.

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Cited By

Shahrour GQuincey ELal SRokne JWang D(2024)The Content Quality of Crowdsourced Knowledge on Stack Overflow- A Systematic Mapping StudyProceedings of the International Conference on Advances in Social Networks Analysis and Mining10.1145/3625007.3627729(330-334)Online publication date: 15-Mar-2024
https://doi.org/10.1145/3625007.3627729

Index Terms

Barriers for Social Inclusion in Online Software Engineering Communities - A Study of Offensive Language Use in Gitter Projects
1. Software and its engineering
  1. Software creation and management
    1. Collaboration in software development
      1. Programming teams

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cover image ACM Other conferences

EASE '23: Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering

June 2023

544 pages

ISBN:9798400700446

DOI:10.1145/3593434

Copyright © 2023 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 June 2023

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EASE '23

EASE '23: The International Conference on Evaluation and Assessment in Software Engineering

June 14 - 16, 2023

Oulu, Finland

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Cited By

Shahrour GQuincey ELal SRokne JWang D(2024)The Content Quality of Crowdsourced Knowledge on Stack Overflow- A Systematic Mapping StudyProceedings of the International Conference on Advances in Social Networks Analysis and Mining10.1145/3625007.3627729(330-334)Online publication date: 15-Mar-2024
https://doi.org/10.1145/3625007.3627729

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