Contextual Analytics: Towards a Practical Integration of Human and Data Science Approaches in the Development of Algorithms

Arora, Millie P.; Krenchel, Mikkel; McAULIFFE, Jacob; Ramaswamy, Poornima

doi:10.1111/1559-8918.2018.01205

Cited by 6 publications

(3 citation statements)

References 16 publications

(6 reference statements)

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“…The importance of user engagement needs greater recognition and still, empirical research in the field needs to grow. Important research lines might be the analysis of the impact, determinants, and effects of SME in sports events with an approach by mixed-methods as this approach is still scarce (Arora et al, 2018;Shibuya et al, 2022), and by doing so offering a balance between explanatory and descriptive studies. Attempts in building models which Einsle, C. S., Escalera Izquierdo, G. & García-Fernández, J. Social media hook sports events: a systematic review of engagement explain cognitive, as well as affective factors that affect SME should be also further developed (Ma et al, 2022).…”

Section: Limitations and Future Researchmentioning

confidence: 99%

Social media hook sports events: a systematic review of engagement

Einsle,

Escalera-Izquierdo,

García-Fernández

2023

Communication & Society

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Social media are nowadays used in all sectors, and likewise frequently within the sports industry. However, there is a lack of studies that offer a holistic understanding of the phenomenon of social media engagement (SME) in this area. Thus, the main object of the present study was the elaboration of a systematic review of the existing literature of the past ten years about SME within the field of sports events. The study was carried out following the PRISMA guidelines. By searching the databases Web of Science, Scopus, ProQuest, and Academic Search Ultimate, we identified 208 studies. After screening and reviewing for eligibility, we finally included 28 articles in the present study. The methodologies, types of analysis applied, main objectives, and the results on SME of the articles included in the synthesis were systematically reviewed. The findings showed that only four articles had as a principal theme the SME. Social media offer a useful tool for engagement, but SME adopts must still gain greater recognition. The need to co-create with users and engage them on social media, due to the great utility of social media in this sector is highlighted based on the results. It was found that SME around sports events remains an emerging and still developing research field which presents a wide range of future research lines.

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Section: Limitations and Future Researchmentioning

confidence: 99%

Social media hook sports events: a systematic review of engagement

Einsle,

Escalera-Izquierdo,

García-Fernández

2023

Communication & Society

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“…In my everyday world, qualitative data was often seen as a storytelling tool, and little more. "Qual," as it was colloquially called, was relegated to the "human" or "ethical" dimension of big data, rather than existing as an equal form of data in and of itself (Arora et al 2018). I often advocated that qualitative data could be used to come up with new product directions, or to develop principles and values for product design.…”

Section: Part 1: Gaining Agency By Learning the Language And Skills Omentioning

confidence: 99%

Ethnographic Agency in a Data Driven World

Levin

2019

Ethnographic Praxis

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This paper argues that ethnographers can gain increased agency in data-driven corporate environments by increasing their quantitative literacy: their ability to create, understand, and strategically use quantitative data to shape organizations. Drawing on the author's experience conducting strategic user research at a technology company, the paper explores how the ability to engage with quantitative data can increase ethnographers' independence and autonomy within organizations, and can also up-level the role and value of qualitative research. The paper also explores how a deep familiarity with quantitative data can enable ethnographers to imbue quantitative data itself with new forms of agency, and can ultimately give ethnographers the tools to change institutions from within. With a greater understanding of how quantitative data is made and used, ethnographers can ensure that data is collected in representative ways, point out the limitations of existing metrics, and argue for new ways of measuring and understanding social life.

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“…I suggest that, for several reasons, quantitative/computational anthropology is likely to gain a lasting foothold and to perform a real role within and outside the academy, including (i) the digitalization of university teaching and admin; (ii) the ubiquity of computational methods within the other social sciences and some humanities fields; (iii) demand from students; and, not least, (iv) the rise of computational business anthropology (e.g. Curran 2013; Cury et all 2019; Arora et al 2018) and thus a new market and job opportunities.…”

mentioning

confidence: 99%

Editorial introduction: Towards a machinic anthropology

Pedersen

2023

Big Data & Society

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Bringing together a motley crew of social scientists and data scientists, the aim of this special theme issue is to explore what an integration or even fusion between anthropology and data science might look like. Going beyond existing work on the complementarity between ‘thick’ qualitative and ‘big’ quantitative data, the ambition is to unsettle and push established disciplinary, methodological and epistemological boundaries by creatively and critically probing various computational methods for augmenting and automatizing the collection, processing and analysis of ethnographic data, and vice versa. Can ethnographic and other qualitative data and methods be integrated with natural language processing tools and other machine-learning techniques, and if so, to what effect? Does the rise of data science allow for the realization of Levi-Strauss’ old dream of a computational structuralism, and even if so, should it? Might one even go as far as saying that computers are now becoming agents of social scientific analysis or even thinking: are we about to witness the birth of distinctly anthropological forms of artificial intelligence? By exploring these questions, the hope is not only to introduce scholars and students to computational anthropological methods, but also to disrupt predominant norms and assumptions among computational social scientists and data science writ large.

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Contextual Analytics: Towards a Practical Integration of Human and Data Science Approaches in the Development of Algorithms

Cited by 6 publications

References 16 publications

Social media hook sports events: a systematic review of engagement

Social media hook sports events: a systematic review of engagement

Ethnographic Agency in a Data Driven World

Editorial introduction: Towards a machinic anthropology

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