Focused collection and processing of open social media data

The article addresses the development of data collection technologies and the complexities that challenge this process. Methods for focusing at various levels are discussed, ranging from managing scanning boundaries to leveraging diverse properties of web pages. Here, the term "focusing" is used to accurately reflect the specific characteristics of targeted data collection and processing of open social media data. This process is multi-stage, employing adaptive control mechanisms that adjust dynamically toward the specified objective. During control, these defined constraints are either narrowed or broadened to align with the target goal. The article also presents insights from the design of an information system’s architecture and software, enabling automated, focused collection and processing of open social media data.

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Publication Details

Journal
Ontology of Designing
Published
2024-11-08
DOI
https://doi.org/10.18287/2223-9537-2024-14-4-569-581
Citations
4
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
4.20
Controls
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article

Focused collection and processing of open social media data

Andrei M. Fedorov, Igor O. Datyev, A.A. Reviakin
4 citations
Ontology of Designing
Technology Adoption and User Behaviour
4.20
article

Focused collection and processing of open social media data

Andrei M. Fedorov, Igor O. Datyev, A.A. Reviakin
article en
4 citations

Abstract

The article addresses the development of data collection technologies and the complexities that challenge this process. Methods for focusing at various levels are discussed, ranging from managing scanning boundaries to leveraging diverse properties of web pages. Here, the term "focusing" is used to accurately reflect the specific characteristics of targeted data collection and processing of open social media data. This process is multi-stage, employing adaptive control mechanisms that adjust dynamically toward the specified objective. During control, these defined constraints are either narrowed or broadened to align with the target goal. The article also presents insights from the design of an information system’s architecture and software, enabling automated, focused collection and processing of open social media data.

Ontology of DesigningVol. 14(4)
Kola Science Centre (RU)
Openalex Percentile: Top 5%
Technology Adoption and User Behaviour
4.20
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