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Evolution and differentiation of the cybersecurity communities in three social question and answer sites: A mixed-methods analysis.
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In: PloS one, vol 16, iss 12 (2021)
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Piloting an integrated SARS-CoV-2 testing and data system for outbreak containment among college students: A prospective cohort study.
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In: PloS one, vol 16, iss 1 (2021)
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Piloting an integrated SARS-CoV-2 testing and data system for outbreak containment among college students: A prospective cohort study.
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In: PloS one, vol 16, iss 1 (2021)
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Effect of voicing and articulation manner on aerosol particle emission during human speech.
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In: PloS one, vol 15, iss 1 (2020)
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A human-machine partnered approach for identifying social media signals of elevated traumatic grief in Chicago gang territories.
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In: PloS one, vol 15, iss 7 (2020)
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A human-machine partnered approach for identifying social media signals of elevated traumatic grief in Chicago gang territories.
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In: PloS one, vol 15, iss 7 (2020)
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| 7 |
Three-dimensional vocal fold structural change due to implant insertion in medialization laryngoplasty.
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In: PloS one, vol 15, iss 1 (2020)
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Differential asthma odds following respiratory infection in children from three minority populations.
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In: PloS one, vol 15, iss 5 (2020)
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Differential asthma odds following respiratory infection in children from three minority populations.
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In: PloS one, vol 15, iss 5 (2020)
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| 10 |
Cake or broccoli? Recency biases children's verbal responses.
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In: PloS one, vol 14, iss 6 (2019)
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| 11 |
Status, identity, and language: A study of issue discussions in GitHub.
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In: PloS one, vol 14, iss 6 (2019)
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Abstract:
Successful open source software (OSS) projects comprise freely observable, task-oriented social networks with hundreds or thousands of participants and large amounts of (textual and technical) discussion. The sheer volume of interactions and participants makes it challenging for participants to find relevant tasks, discussions and people. Tagging (e.g., @AmySmith) is a socio-technical practice that enables more focused discussion. By tagging important and relevant people, discussions can be advanced more effectively. However, for all but a few insiders, it can be difficult to identify important and/or relevant people. In this paper we study tagging in OSS projects from a socio-linguistics perspective. First we argue that textual content per se reveals a great deal about the status and identity of who is speaking and who is being addressed. Next, we suggest that this phenomenon can be usefully modeled using modern deep-learning methods. Finally, we illustrate the value of these approaches with tools that could assist people to find the important and relevant people for a discussion.
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Keyword:
Databases; Deep Learning; Factual; General Science & Technology; Humans; Language; Linguistics; Software; User-Computer Interface
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URL: https://escholarship.org/uc/item/6dk070w6
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| 12 |
Mitogenomes illuminate the origin and migration patterns of the indigenous people of the Canary Islands.
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In: PloS one, vol 14, iss 3 (2019)
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| 13 |
Small changes, big gains: A curriculum-wide study of teaching practices and student learning in undergraduate biology.
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In: PloS one, vol 14, iss 8 (2019)
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| 14 |
The Classroom Discourse Observation Protocol (CDOP): A quantitative method for characterizing teacher discourse moves in undergraduate STEM learning environments.
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In: PloS one, vol 14, iss 7 (2019)
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| 15 |
Brain basis of cognitive resilience: Prefrontal cortex predicts better reading comprehension in relation to decoding.
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In: PloS one, vol 13, iss 6 (2018)
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| 16 |
Dynamic integration of conceptual information during learning.
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In: PloS one, vol 13, iss 11 (2018)
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| 17 |
Y chromosomal evidence on the origin of northern Thai people.
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In: PloS one, vol 12, iss 7 (2017)
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| 18 |
Executive function, visual attention and the cocktail party problem in musicians and non-musicians
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| 19 |
High-Resolution, Non-Invasive Imaging of Upper Vocal Tract Articulators Compatible with Human Brain Recordings.
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In: PloS one, vol 11, iss 3 (2016)
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| 20 |
Survivorship Care Plan Information Needs: Perspectives of Safety-Net Breast Cancer Patients.
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In: PloS one, vol 11, iss 12 (2016)
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