The Future of Interdisciplinary Research in the Digital Era: Obstacles and Perspectives of Collaboration in Social and Data Sciences - An Empirical Study

Parti, Katalin; Szigeti, Ákos

doi:10.1080/23311886.2021.1970880

Cited by 13 publications

(6 citation statements)

References 56 publications

(58 reference statements)

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“…Darknet research implementation requires researchers to consider data validity issues appearing on digital platforms (for a summary, see Parti & Szigeti, 2021), in this case specifically, the issue formulated by online anonymity. Despite the prevention methods applied by Dark0de Reborn, bots could register and add invalid data to product descriptions or user reviews.…”

Section: Limitationsmentioning

confidence: 99%

Trust Factors in the Social Figuration of Online Drug Trafficking: A Qualitative Content Analysis on a Darknet Market

Szigeti

Frank

Kiss

2023

Journal of Contemporary Criminal Justice

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The rise in illicit drug trafficking on darknet markets (DNMs) was boosted by those restrictions imposed due to the COVID-19 pandemic. This study aims to put this trend into context by exploring the characteristics of vendors’ services and reputations and understand how products are advertised and what customers tend to value. Qualitative content analysis was conducted on a sample ( n = 100) randomly selected from 6,357 product descriptions and a sample ( n = 500) randomly selected from 34,619 reviews. Both samples are from products found in the drug category of the darknet market Dark0de Reborn. On the supply side, vendors tended to provide basic information on the drugs, a mention of their high quality, the speed and stealth of delivery, their availability for responding to messages, the effects of the drugs, and sometimes even instructions for use. Regarding the demand side, customers usually praised the quality of the product, mentioned the speed and stealth-secure packaging of delivery as essentials, and expressed only a small number of issues. These results support the applicability of Norbert Elias’ social figuration theory in which the interdependencies of the actors are fueled by trust. This theoretical frame sheds light on the social value of the community of DNMs. Furthermore, the findings formulate a robust hypothesis for future research about the previously undervalued role of delivery providers.

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Section: Limitationsmentioning

confidence: 99%

Trust Factors in the Social Figuration of Online Drug Trafficking: A Qualitative Content Analysis on a Darknet Market

Szigeti

Frank

Kiss

2023

Journal of Contemporary Criminal Justice

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“…La puesta en marcha de proyectos de investigación en la época actual también supone el conocimiento de cómo gestionar la información y las posibilidades del intercambio de datos para beneficio de la comunidad académica e incluye, por lo tanto, el encuentro con múltiples complicaciones y dificultades que implican, la realización de Ciencia Abierta en todas sus fases, un desafío (Fressoli & Arza, 2018). Del mismo modo, en la actualidad empieza a formar parte de algunos requisitos de agencias de investigación, financiación o requisito de revistas y comités evaluadores precisamente la disposición pública de los datos (Logan et al, 2021;Van Dijk et al, 2021) y, por lo tanto, se presta cada vez más relevante las investigaciones con equipo multidisciplinares en los que puedan colaborar hacia procesos más éticos y transparentes sin que los conocimientos técnicos sean en sí mismo el mayor problema (Parti & Szigeti, 2021).…”

Section: Implicaciones Hacia La Ciencia Abiertaunclassified

“…13 (2022), 138-156 Juan José Sosa y Manuel Area ~ 150 ~ ética del proceso investigador, relevante en el campo de la Tecnología Educativa y en la Ciencia Abierta. Desarrollar estrategias más éticas y transparentes en el ámbito de la Ciencia Abierta y de la Tecnología Educativa implica el trabajo conjunto y colaborativo en distintos campos disciplinares que permita dar respuesta a las complejidades inherentes al campo educativo y del tratamiento de datos e información (Parti & Szigeti, 2021;. Además, dentro de la investigación en Tecnología Educativa, las GAN pueden aportar la técnica que permita la reutilización, el intercambio y la difusión de información, recursos digitales y conjuntos de datos sobre nuestra línea que nos permita la toma de decisión hacia una transformación digital alineada con los principios de la Ciencia Abierta, es decir, más accesible, colaborativa y en beneficio de la sociedad (Alhadad et al, 2018;Bethencourt-Aguilar et al, 2021ayb;Alés, 2020).…”

Section: Discusión Y Conclusionesunclassified

Implicaciones técnicas y prácticas de las Redes Adversarias Generativas a la Ciencia Abierta en Educación

Aguilar

Castellanos–Nieves²,

Alonso³

et al. 2022

RiiTE

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Generative Adversarial Networks (GANs), which are characteristic of Artificial Intelligence, allow the creation of synthetic anonymised data useful for Open Science in educational research. This study experiments with the creation of artificial data from a dataset obtained from a survey on levels of use of digital tools and frequency of personal activities with technology. The original data belong to a sample of students from postgraduate degrees at the University of La Laguna. The results show an adequate degree of similarity between the original data set and the set artificially created through predictive algorithms. Obtaining synthetic datasets equivalent to the original ones in structure, shape and extension allows the release of the data to the academic community, safeguarding the protection of confidential information and contrasting a technique that allows the promotion of Open Science from the collection and processing of the data. Generative Adversarial Networks can be used in educational research for the purpose of transparency in methodological and technical procedures and the dissemination of datasets for academic, research and educational purposes. Las Redes Adversarias Generativas (GAN), propias de la Inteligencia Artificial, permiten la creación de datos sintéticos anonimizados útiles para hacer Ciencia Abierta dentro de la investigación educativa. El presente estudio realiza una experimentación en la creación de datos artificiales a partir de un conjunto de datos obtenidos de una encuesta sobre niveles de uso de herramientas digitales y la frecuencia de actividades personales con tecnología. Los datos originales pertenecen a una muestra de alumnado de las titulaciones de postgrado de la Universidad de La Laguna. Los resultados muestran un grado de similitud adecuado entre el conjunto de datos original y el conjunto creado artificialmente a través de algoritmos predictivos. La obtención de conjuntos de datos sintéticos equivalentes a los originales en estructura, forma y extensión permite la liberación de los datos a la comunidad académica salvaguardando la protección de la información confidencial y contrastando una técnica que permite impulsar la Ciencia Abierta desde la obtención y tratamiento de los datos. Las Redes Adversarias Generativas pueden ser utilizadas en la investigación educativa con fines hacia la transparencia en los procedimientos metodológicos y técnicos y a la difusión de conjuntos de datos para fines académicos, investigativos y educativos.

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“…Through literature cross-referencing, it is found that management research is more often cited from social science literature than other disciplines (Neeley, 1981). Through contextual knowledge extraction, Parti and Szigeti (2021) found that the citation of gamification techniques influences the dynamics of urban development research and the revision of scientific research directions.…”

Section: Introductionmentioning

confidence: 99%

Measuring the interdisciplinary characteristics of Chinese research in library and information science based on knowledge elements

Zeng

Cao

Chen

et al. 2023

AJIM

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PurposeThis study analyzed the interdisciplinary characteristics of Chinese research studies in library and information science (LIS) measured by knowledge elements extracted through the Lexicon-LSTM model.Design/methodology/approachEight research themes were selected for experiment, with a large-scale (N = 11,625) dataset of research papers from the China National Knowledge Infrastructure (CNKI) database constructed. And it is complemented with multiple corpora. Knowledge elements were extracted through a Lexicon-LSTM model. A subject knowledge graph is constructed to support the searching and classification of knowledge elements. An interdisciplinary-weighted average citation index space was constructed for measuring the interdisciplinary characteristics and contributions based on knowledge elements.FindingsThe empirical research shows that the Lexicon-LSTM model has superiority in the accuracy of extracting knowledge elements. In the field of LIS, the interdisciplinary diversity indicator showed an upward trend from 2011 to 2021, while the disciplinary balance and difference indicators showed a downward trend. The knowledge elements of theory and methodology could be used to detect and measure the interdisciplinary characteristics and contributions.Originality/valueThe extraction of knowledge elements facilitates the discovery of semantic information embedded in academic papers. The knowledge elements were proved feasible for measuring the interdisciplinary characteristics and exploring the changes in the time sequence, which helps for overview the state of the arts and future development trend of the interdisciplinary of research theme in LIS.

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The Future of Interdisciplinary Research in the Digital Era: Obstacles and Perspectives of Collaboration in Social and Data Sciences - An Empirical Study

Cited by 13 publications

References 56 publications

Trust Factors in the Social Figuration of Online Drug Trafficking: A Qualitative Content Analysis on a Darknet Market

Trust Factors in the Social Figuration of Online Drug Trafficking: A Qualitative Content Analysis on a Darknet Market

Implicaciones técnicas y prácticas de las Redes Adversarias Generativas a la Ciencia Abierta en Educación

Measuring the interdisciplinary characteristics of Chinese research in library and information science based on knowledge elements

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