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Analysis of institutional authors

Boj, CAuthor

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October 28, 2024
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A critical approach to Machine Learning forecast capabilities: creating a predictive biography in the age of the Internet of Behaviour (IoB)

Publicated to:Artnodes. (31): 45249- - 2023-01-01 (31), DOI: 10.7238/artnodes.v0i31.45249

Authors: Diaz, Diego; Boj, Clara

Affiliations

Univ Jaume 1 - Author
Univ Politecn Valencia UPV - Author

Abstract

Based on the notion of the Datacene, understood as the time when data directly affects the social, cultural, economic, political, and even affective structures of the present, in this article we propose how Big Data and Artificial Intelligence give rise to the Internet of Behaviour: a new technological paradigm that has incredible potential to forecast and induce human behaviour. Since ancient times, humans have wanted to predict and alter the future, but in the last ten years, this wish has begun to become a reality due to great advances in the field of social engineering, raising serious doubts regarding social control and the loss of freedom. In this context of analysis, we present two projects developed within the framework of Art, Science, Technology and Society. Data Biography shows the enormous number of digital traces that we generate daily and uses them to compose a person's biography, composed of 365 printed books. Machine Biography, for its part, investigates how current artificial intelligence techniques can predict and induce future human behaviour, for which we have used various forecast and generative models trained with data from our own digital activity, in order to generate another set of books with our foreseeable activity for the year 2050. Both projects invite us to consider from a critical perspective the present and future of the social transformations produced by Big Data and AI.

Keywords

Artificial intelligenceBig dataDataceneDigital tracesInternet of behaviourNew media artPrediction

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Artnodes due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2023, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Literature and Literary Theory. Notably, the journal is positioned above the 90th percentile.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 1.32. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 14, 2024)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-07-06, the following number of citations:

  • WoS: 1

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: Last Author (Boj Tovar, Clara).