Cited by 85Personal Information Management and User BehaviorPrivacy, Security, and Data ProtectionInformation Retrieval and Search Behavior

‘Stop spamming me!’: exploring information overload on Facebook

Open access
Koroleva, Ksenia, Krasnova, Hanna, Guenther, Oliver·2010·University of Bern

Abstract

The problem of information overload on Facebook is exacerbating as users expand their networks. Growing quantity and increasingly poor quality of information on the Newsfeed may interfere with the hedonic experience of users resulting in frustration and dissatisfaction. In the long run, such developments threaten to undermine sustainability of the platform. To address these issues, our study adopts a grounded theory approach to explore the phenomenon of information overload on Facebook. We investigate main sources of information overload, identify strategies users adopt to deal with it as well as possible consequences. In-depth analysis of the phenomenon allows us to uncover individual peculiarities for identification of relevant information. Based on them we provide valuable recommendations for network providers.

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DataCite · 10.7892/boris.47153

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Authors
Koroleva, K., Krasnova, H., & Guenther, O.
Affiliations
Humboldt-Universität zu Berlin (DE)
Venue
University of Bern
Publisher
University of Bern
Published
2010
Pages
447
OpenAlex
W1552443482
Cited by
85
References
1
Citations by year
2026: 1 · 2025: 2 · 2024: 2 · 2023: 1 · 2022: 2 · 2021: 6 · 2020: 11 · 2019: 3 · 2018: 6 · 2017: 6 · 2016: 9 · 2015: 5 · 2014: 9 · 2013: 7 · 2012: 8
FWCI
13.69
Type
conference paper
Language
en
Open access
Locations
  • Bern Open Repository and Information System (University of Bern) (acceptedVersion, other-oa)
  • Journal of the Association for Information Systems (submittedVersion)
  • Open Access CRIS of the University of Bern
  • Americas Conference on Information Systems
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
  • Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
Keywords
information overload, Facebook, newsfeed, social media, user frustration, hedonic experience, information quality, platform sustainability, network expansion

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