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Behaviour & Information Technology Volume 41, 2022 - Issue 1
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Original Articles

Intensity of Facebook use: a personality-based perspective on dependency formation

Karl van der Schyffa Department of Information Systems, Rhodes University, Grahamstown, South AfricaCorrespondence[email protected]
,
Stephen Flowerdaya Department of Information Systems, Rhodes University, Grahamstown, South Africa
,
Hennie Krugerb School of Computer Science and Information Systems, North-West University, Potchefstroom, South Africa
&
Nikitha Patela Department of Information Systems, Rhodes University, Grahamstown, South Africa
Pages 198-214 | Received 12 Dec 2019, Accepted 17 Jul 2020, Published online: 28 Jul 2020

Citations (6)

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Read on this site (3)

Adil S. Al-Busaidi, Victoria Dauletova & Ibtisam Al-Wahaibi. (2023) The role of excessive social media content generation, attention seeking, and individual differences on the fear of missing out: a multiple mediation model. Behaviour & Information Technology 42:9, pages 1389-1409.
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Karl van der Schyff, Karen Renaud, Juliet Puchert- Townes & Naledi Tshiqi. (2022) Investigating the mediating effects of phubbing on self-presentation and FoMO within the context of excessive Instagram use. Cogent Psychology 9:1.
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Łukasz Nikel, Magdalena Kolańska-Stronka & Paweł Krasa. Personality traits, internet addiction, and phubbing among teens: a mediation analysis. Behaviour & Information Technology 0:0, pages 1-14.
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Articles from other publishers (3)

Anastasia S. Panfilova & Denis Yu. Turdakov. (2024) Applying explainable artificial intelligence methods to models for diagnosing personal traits and cognitive abilities by social network data. Scientific Reports 14:1.
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Shehzala, Anand Kumar Jaiswal, Vidya Vemireddy & Federica Angeli. (2024) Social media “stars” vs “the ordinary” me: influencer marketing and the role of self-discrepancies, perceived homophily, authenticity, self-acceptance and mindfulness. European Journal of Marketing 58:2, pages 590-631.
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Ian P. Albery, Sofia Nosa, Marcantonio M. Spada & Daniel Frings. (2021) Differential identity components predict dimensions of problematic facebook use. Computers in Human Behavior Reports 3, pages 100057.
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