What’s in a text? Bridging the gap between quality and quantity in the digital era

Franzosi, Roberto

doi:10.1007/s11135-020-01067-6

Cited by 6 publications

(5 citation statements)

References 37 publications

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“…In the past, the problem of social inquiry was confronted with the difficulty/need to collect data. Today, on the contrary, it is confronted with the double miracle of the digital age (Franzosi ( 2021 ), the exponential growth of big data and the development of tools for Natural Language Processing (NLP) and, at the same time, with the hegemony of Western scientific knowledge. A hegemony determined both by the emergence of English as a lingua franca in the scientific field, and by the current research evaluation model powered by open science technology platforms , the most important of which at a global level are of Anglophone origin, coming in this way to colonize the scientific debate.…”

Section: Methodological Implicationsmentioning

confidence: 99%

“…Yet, on being asked to understand the unique theoretical-empirical contribution that it can make in this modernized framework of complexity, sociology’s contribution still appears reticent. However, the growing development of data repositories for open science (Davidson et al 2019 ), the evolution of Data Analytics (DA) (Rawat, Sood, 2021 ), of processors for natural language analysis (NLP) (Franzosi, 2021 ) and for Text Mining (Greco et al, 2020 ) increasingly highlights the need to reconstruct a qualitative and quantitative perspective to overcome an ever-present risk inherent in social research based on partial and self-referential concepts, that of sterility and discontinuity (Smith 1988 : 28).…”

Section: A Brief History Of Big Datamentioning

confidence: 99%

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Sociology between big data and research frontiers, a challenge for educational policies and skills

Capogna

2022

Qual Quant

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The paper focuses on the challenges posed within sociology and social research by the transformations created by the “data society”. To this end, the paper outlines some of the most significant elements for new frontier research which sociology is forced to confront also in relation to the challenges for educational policies and skills. While leading literature decries the need to promote alphabetising data, otherwise defined as data literacy , the idea proposed here is that it is necessary to work towards understanding data . An understanding that highlights the role sociology has firmly set itself since its foundation, that of studying and explaining the complexity of the relationships that characterize social life in every context and period.

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Section: Methodological Implicationsmentioning

confidence: 99%

Section: A Brief History Of Big Datamentioning

confidence: 99%

Sociology between big data and research frontiers, a challenge for educational policies and skills

Capogna

2022

Qual Quant

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“…The dictionary is a simple data structure containing pairs of values and keys and is widely used in the social sciences (e.g., Snefjella and Kuperman 2015, Goldberg et al 2016, Kovács et al 2017, Flores 2017, Frye and Gheihman 2018, Nelson 2020, Paxton et al 2020, Franzosi 2021, Bhatt et al 2021, Cheng et al 2023. In computer-assisted text analysis, both qualitative and quantitative, the key is usually a unique string of characters-keyword, token, term, word, phrase, n-gram-which is matched and then tagged with an associated value.…”

Section: Limitations Of Dictionariesmentioning

confidence: 99%

A Tool Kit for Relation Induction in Text Analysis

Stoltz,

Taylor,

Dudley

2024

Sociological Methods & Research

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Distances derived from word embeddings can measure a range of gradational relations—similarity, hierarchy, entailment, and stereotype—and can be used at the document- and author-level in ways that overcome some of the limitations of weighted dictionary methods. We provide a comprehensive introduction to using word embeddings for relation induction, and demonstrate how such techniques can complement dictionary methods as unsupervised, deductive methods.

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“…В чем проблематичность этой воплотившейся мечты? Если раньше трудности вызывал сбор данных, то сегодня -работа с уже имеющимися [Franzosi, 2021]. Прежде всего возникает вопрос цифровых навыков, среди которых информационная грамотность, технические знания (включая владение математическими методами и знакомство с hard science в целом) и знания статистики [Capogna, 2023].…”

Section: большие данные датафикация и цифровые навыкиunclassified

In the Same Boat? “Methodological Debate” in a Changing Empirical Fiel

Kolotovkina

2023

Inter

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The article is devoted to the analysis of the current state of the methodological debate. This is a classic debate, which, however, should not be oversimplified: methods, paradigms, and research strategies form systems that go beyond the qualitative vs. quantitative dichotomy. The debate is in the center of attention, because, firstly, empirical texts are now written, read and cited more often than theoretical ones, secondly, new data and methods of their analysis appear, and thirdly, there is a simultaneous emergence of common ground and deepening methodological contradictions.One of the key differences between qualitative and quantitative proponents is the paradigms that underpin their work. However, the correspondence between the paradigm and the method is not always universal: for example, in qualitative methodology, both interpretive and post-positivist trends can be observed, and some quantitative researchers are close to the ideas of author's reflection and standpoint.Tools based on artificial intelligence can simplify the work of a researcher by solving some of the routine tasks, while the availability of big data allows you to go beyond survey and statistical databases and analyze new fields. However, the development of new tools leads to a number of problems. These are issues related to digital literacy and skills inequality, ethics and non-transparency of data production. Collaborative methodological work may be able to mitigate these kinds of difficulties and strengthen the position of sociology in an era of changing data and competing approaches.

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What’s in a text? Bridging the gap between quality and quantity in the digital era

Cited by 6 publications

References 37 publications

Sociology between big data and research frontiers, a challenge for educational policies and skills

Sociology between big data and research frontiers, a challenge for educational policies and skills

A Tool Kit for Relation Induction in Text Analysis

In the Same Boat? “Methodological Debate” in a Changing Empirical Fiel

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