Information Overload in a Data-Intensive World

Koltay, Tibor

doi:10.1007/978-3-319-59090-5_10

Cited by 7 publications

(6 citation statements)

References 49 publications

(69 reference statements)

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“…, 2012; Virkus et al. , 2017), attention issues (Koltay, 2017), poor learning and skill acquisition (Green, 2011), poor well-being (Jackson and Farzaneh, 2012; Tan and Kuo, 2019), less trust (Furner and Zinko, 2017), and had more demands on their working memory (Lauri and Virkus, 2018; Rötzel and Fehrenbacher, 2019). Swar et al.…”

Section: Resultsmentioning

confidence: 99%

“…Internal consequences: The internal consequences of IO relate to the impact it has on the individuals themselves. Individuals subject to IO suffered from low creativity (R€ otzel and Fehrenbacher, 2019;Sabeeh and Ismail, 2013;Strother et al, 2012;Virkus et al, 2017), attention issues (Koltay, 2017), poor learning and skill acquisition (Green, 2011), poor wellbeing (Jackson and Farzaneh, 2012;Tan and Kuo, 2019), less trust (Furner and Zinko, 2017), and had more demands on their working memory (Lauri and Virkus, 2018;R€ otzel and Fehrenbacher, 2019). Swar et al (2017) have found that due to the ill-being generated by IO during online healthcare information search, individuals discontinued their search and therefore were not able to learn anymore.…”

Section: Consequencesmentioning

confidence: 99%

“…A few phenomena can explain this growth: the shift from an industrial to an informationbased economy (MacDonald et al, 2011), and the advent of social media (Koroleva et al, 2010). Social media created a fertile environment for the development of IO, whether through the diversity of content presented (Koltay, 2017), the increasing number of sources, or the push of irrelevant information and unwanted advertisements (Fu et al, 2020). In their conceptual model of IO in social networks, Koroleva et al (2010) highlighted a positive correlation between the growing amount of connections and IO.…”

Section: Introductionmentioning

confidence: 99%

“…, 2010). Social media created a fertile environment for the development of IO, whether through the diversity of content presented (Koltay, 2017), the increasing number of sources, or the push of irrelevant information and unwanted advertisements (Fu et al. , 2020).…”

Section: Introductionmentioning

confidence: 99%

“…We believe these various attempts to define IO require refreshing as they do not consider new causes; one new driving force is the de-centralisation of information. Among the new causes of IO, there is an absence of gatekeepers who were in charge of filtering information and ensuring its quality (Koltay, 2017). In online information platforms such as social media, as the number of users increases, there is an increase in information due to the volume of messages exchanged (Chen et al, 2011) and a rise in sources of information, which makes it more challenging to control information quality (Fu et al, 2020;Rodriguez et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Information overload: a concept analysis

Belabbes

Ruthven

Moshfeghi

et al. 2022

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PurposeWith the shift to an information-based society and to the de-centralisation of information, information overload has attracted a growing interest in the computer and information science research communities. However, there is no clear understanding of the meaning of the term, and while there have been many proposed definitions, there is no consensus. The goal of this work was to define the concept of “information overload”. In order to do so, a concept analysis using Rodgers' approach was performed.Design/methodology/approachA concept analysis using Rodgers' approach based on a corpus of documents published between 2010 and September 2020 was conducted. One surrogate for “information overload”, which is “cognitive overload” was identified. The corpus of documents consisted of 151 documents for information overload and ten for cognitive overload. All documents were from the fields of computer science and information science, and were retrieved from three databases: Association for Computing Machinery (ACM) Digital Library, SCOPUS and Library and Information Science Abstracts (LISA).FindingsThe themes identified from the authors’ concept analysis allowed us to extract the triggers, manifestations and consequences of information overload. They found triggers related to information characteristics, information need, the working environment, the cognitive abilities of individuals and the information environment. In terms of manifestations, they found that information overload manifests itself both emotionally and cognitively. The consequences of information overload were both internal and external. These findings allowed them to provide a definition of information overload.Originality/valueThrough the authors’ concept analysis, they were able to clarify the components of information overload and provide a definition of the concept.

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