{"title":"“It’s too much”: Excessive smartphone use during the COVID-19 crisis, information overload, and infection self-efficacy","authors":"Jörg Matthes, Ariadne Neureiter, Anja Stevic, Selina Noetzel","doi":"10.1016/j.tele.2024.102119","DOIUrl":null,"url":null,"abstract":"<div><p>During the COVID-19-related lockdowns around the world, individuals received a permanent digital stream of information about the pandemic via their smartphones. We theorize that such excessive COVID-19-related smartphone use can affect information overload, i.e., the perception of being exposed to too much information about COVID-19. We also introduce the notion of infection self-efficacy, the feeling that one is able to control the likelihood of being infected. We conducted a two-wave panel survey among an adult sample in Austria (<em>N</em><sub>T2</sub> = 416) during the first lockdown in 2020. Findings of a metric measurement invariant structural equation model revealed that excessive smartphone use predicts information overload over time. Moreover, information overload resulted in lower infection self-efficacy after one month. Reciprocal effects showed that information overload at T1 also increased excessive smartphone use at T2, suggesting a spiral. However, infection self-efficacy did not predict information overload and excessive smartphone use over time. Our findings contribute to the literature on information processing mechanisms by providing clear evidence for the reciprocal relationship between excessive smartphone use and information overload over time. The findings are also important for health scholarship because they explain individuals’ perceptions about whether they are able to protect themselves from COVID-19.</p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"89 ","pages":"Article 102119"},"PeriodicalIF":7.6000,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0736585324000236/pdfft?md5=821e2c7491bc9d9f3780adad9c22307e&pid=1-s2.0-S0736585324000236-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Telematics and Informatics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0736585324000236","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
During the COVID-19-related lockdowns around the world, individuals received a permanent digital stream of information about the pandemic via their smartphones. We theorize that such excessive COVID-19-related smartphone use can affect information overload, i.e., the perception of being exposed to too much information about COVID-19. We also introduce the notion of infection self-efficacy, the feeling that one is able to control the likelihood of being infected. We conducted a two-wave panel survey among an adult sample in Austria (NT2 = 416) during the first lockdown in 2020. Findings of a metric measurement invariant structural equation model revealed that excessive smartphone use predicts information overload over time. Moreover, information overload resulted in lower infection self-efficacy after one month. Reciprocal effects showed that information overload at T1 also increased excessive smartphone use at T2, suggesting a spiral. However, infection self-efficacy did not predict information overload and excessive smartphone use over time. Our findings contribute to the literature on information processing mechanisms by providing clear evidence for the reciprocal relationship between excessive smartphone use and information overload over time. The findings are also important for health scholarship because they explain individuals’ perceptions about whether they are able to protect themselves from COVID-19.
期刊介绍:
Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.