THE DIGITAL PULSE AS A SYSTEMATIC APPROACH TO DIGITAL CONTENT ANALYSIS-NAVIGATING ADAPTATION CHALLENGES AND EMBRACING INNOVATIVE VISTAS IN CONTENT ANALYSIS

This paper explores the developments of digital content analysis from a methodological viewpoint. Our aim is to adapt the methods of content analysis to the digital environment. A survey of the digital publications, their structure, and the mechanism of their formation, suggests the introduction of the dichotomy: "fixed part" and "interactive part" to analyze social media publications. To study and investigate the digital contents that have an interactive nature, the notion of digital pulse as a standard model is introduced.

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Publication Details

Journal
Lex localis - Journal of Local Self-Government
Published
2025-06-29
DOI
https://doi.org/10.52152/2ywn7n49
Primary Topic
Big Data Technologies and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

THE DIGITAL PULSE AS A SYSTEMATIC APPROACH TO DIGITAL CONTENT ANALYSIS-NAVIGATING ADAPTATION CHALLENGES AND EMBRACING INNOVATIVE VISTAS IN CONTENT ANALYSIS

Abdellatif Moukar, Fadhila Toumi
Lex localis - Journal of Local Self-Government
Big Data Technologies and Applications
article

THE DIGITAL PULSE AS A SYSTEMATIC APPROACH TO DIGITAL CONTENT ANALYSIS-NAVIGATING ADAPTATION CHALLENGES AND EMBRACING INNOVATIVE VISTAS IN CONTENT ANALYSIS

Abdellatif Moukar, Fadhila Toumi
article en

Abstract

This paper explores the developments of digital content analysis from a methodological viewpoint. Our aim is to adapt the methods of content analysis to the digital environment. A survey of the digital publications, their structure, and the mechanism of their formation, suggests the introduction of the dichotomy: "fixed part" and "interactive part" to analyze social media publications. To study and investigate the digital contents that have an interactive nature, the notion of digital pulse as a standard model is introduced.

Lex localis - Journal of Local Self-GovernmentVol. 23(8)
University of Ouargla (DZ)
Openalex Percentile: Top 73%
Big Data Technologies and Applications
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