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        <title>Using Computational Grounded Theory to Understand Tutors’ Experiences in the Gig Economy</title>
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        <namePart type="given">Lama</namePart>
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            <namePart type="family">Hämäläinen</namePart>
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            <namePart type="given">Khalid</namePart>
            <namePart type="family">Alnajjar</namePart>
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    <abstract>The introduction of online marketplace platforms has led to the advent of new forms of flexible, on-demand (or ‘gig’) work. Yet, most prior research concerning the experience of gig workers examines delivery or crowdsourcing platforms, while the experience of the large numbers of workers who undertake educational labour in the form of tutoring gigs remains understudied. To address this, we use a computational grounded theory approach to analyse tutors’ discussions on Reddit. This approach consists of three phases including data exploration, modelling and human-centred interpretation. We use both validation and human evaluation to increase the trustworthiness and reliability of the computational methods. This paper is a work in progress and reports on the first of the three phases of this approach.</abstract>
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%0 Conference Proceedings
%T Using Computational Grounded Theory to Understand Tutors’ Experiences in the Gig Economy
%A Alqazlan, Lama
%A Procter, Rob
%A Castelle, Michael
%Y Hämäläinen, Mika
%Y Alnajjar, Khalid
%Y Partanen, Niko
%Y Rueter, Jack
%S Proceedings of the Workshop on Natural Language Processing for Digital Humanities
%D 2021
%8 December
%I NLP Association of India (NLPAI)
%C NIT Silchar, India
%F alqazlan-etal-2021-using
%X The introduction of online marketplace platforms has led to the advent of new forms of flexible, on-demand (or ‘gig’) work. Yet, most prior research concerning the experience of gig workers examines delivery or crowdsourcing platforms, while the experience of the large numbers of workers who undertake educational labour in the form of tutoring gigs remains understudied. To address this, we use a computational grounded theory approach to analyse tutors’ discussions on Reddit. This approach consists of three phases including data exploration, modelling and human-centred interpretation. We use both validation and human evaluation to increase the trustworthiness and reliability of the computational methods. This paper is a work in progress and reports on the first of the three phases of this approach.
%U https://aclanthology.org/2021.nlp4dh-1.13
%P 111-120

Markdown (Informal)

[Using Computational Grounded Theory to Understand Tutors’ Experiences in the Gig Economy](https://aclanthology.org/2021.nlp4dh-1.13) (Alqazlan et al., NLP4DH 2021)

• Using Computational Grounded Theory to Understand Tutors’ Experiences in the Gig Economy (Alqazlan et al., NLP4DH 2021)

ACL

• Lama Alqazlan, Rob Procter, and Michael Castelle. 2021. Using Computational Grounded Theory to Understand Tutors’ Experiences in the Gig Economy. In Proceedings of the Workshop on Natural Language Processing for Digital Humanities, pages 111–120, NIT Silchar, India. NLP Association of India (NLPAI).