The Plausibility of Cross-National Comparisons of Internet Use Types

Helsper, Ellen; Gerber, Mónica M.

doi:10.1080/01972243.2011.650294

Cited by 16 publications

(25 citation statements)

References 62 publications

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“…Figure 2 illustrates our research model addressing the links between sociodemographic variables and Internet usage types. This model builds on previous digital divide and Internet usage research (Brandtzaeg et al, 2011;Hargittai, 2002;Helsper and Gerber, 2012;Ortega Egea et al, 2007;Teo, 2001;Van Deursen and Van Dijk, 2014). Such studies have shown that sociodemographic variables have significant effects on how the Internet is used for large European samples (Brandtzaeg et al, 2011;Ortega Egea et al, 2007), the Netherlands (Van Deursen and Van Dijk, 2014), or Singapore (Teo, 2001).…”

Section: Usage Divides In High-penetration Countriesmentioning

confidence: 88%

“…UGT has been applied to investigate usage motivations for virtually every kind of communication medium, and the emergence of the Internet has revived its significance (Ruggiero, 2000) as evidenced by various studies (e.g. Helsper and Gerber, 2012;Papacharissi and Rubin, 2000;Sundar and Limperos, 2013). LaRose and Eastin (2004) used UGT to formulate expected outcomes of Internet use: "social outcomes" such as maintaining relationships, "status outcomes" (finding similar people), "novel outcomes" (finding information), "activity outcomes" (feeling entertained), "self-reactive outcomes" (relieving boredom), and "monetary outcomes" (finding bargains) (LaRose and Eastin, 2004).…”

Section: Internet Activities Reflect Core Usage Typesmentioning

confidence: 99%

“…Van Dijk (2005) noted that the last step in the diffusion and adoption of digital media includes the intention to "use these media for a particular purpose of information, communication, transaction, or entertainment" (p. 95). Helsper and Gerber (2012) derive a very similar uses typology from 2007 data with factors for information, entertainment, communication, and finance.…”

Section: Internet Activities Reflect Core Usage Typesmentioning

confidence: 99%

See 2 more Smart Citations

Modeling the second-level digital divide: A five-country study of social differences in Internet use

Büchi

Just

Latzer

2016

New Media & Society

196

112

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Based on representative surveys on Internet use, this article advances comparative research on the second-level digital divide by modeling Internet usage disparities for five countries with narrowing access gaps. Four core Internet usage types are constructed and predicted by sociodemographic variables in a structural model. Overall, the findings confirm the recently identified shift in the digital divide from access to usage in five further countries. Results show that sociodemographics alone account for up to half of the variance in usage in these high-penetration countries, with age being the strongest predictor. Measurement invariance tests indicate that a direct comparison is only valid between three of the five countries explored. Methodologically, this points to the indispensability of such tests for unbiased comparative research.

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Section: Usage Divides In High-penetration Countriesmentioning

confidence: 88%

Section: Internet Activities Reflect Core Usage Typesmentioning

confidence: 99%

Section: Internet Activities Reflect Core Usage Typesmentioning

confidence: 99%

See 1 more Smart Citation

Modeling the second-level digital divide: A five-country study of social differences in Internet use

Büchi

Just

Latzer

2016

New Media & Society

196

112

View full text Add to dashboard Cite

show abstract

“…It is questionable to what extent variables like time management constitute a criterion that is relevant for diagnosis, and therefore, the Internet addiction prevalence rates reported using the CIAS may be an overestimate. In light of this, the time management criterion could be combined with the reason for Internet use being either instrumental (i.e., information seeking) or ritual (i.e., entertainment) [201], as it appears not to be the time that constitutes the criterion, but the time combined with the usage motivation which distinguishes Internet use from potential abuse.…”

Section: Discussionmentioning

confidence: 99%

Internet Addiction: A Systematic Review of Epidemiological Research for the Last Decade

Kuss¹,

Griffiths²,

Karila³

et al. 2014

CPD

1,103

857

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Abstract:In the last decade, Internet usage has grown tremendously on a global scale. The increasing popularity and frequency of Internet use has led to an increasing number of reports highlighting the potential negative consequences of overuse. Over the last decade, research into Internet addiction has proliferated. This paper reviews the existing 68 epidemiological studies of Internet addiction that (i) contain quantitative empirical data, (ii) have been published after 2000, (iii) include an analysis relating to Internet addiction, (iv) include a minimum of 1000 participants, and (v) provide a full-text article published in English using the database Web of Science. Assessment tools and conceptualisations, prevalence, and associated factors in adolescents and adults are scrutinised. The results reveal the following. First, no gold standard of Internet addiction classification exists as 21 different assessment instruments have been identified. They adopt official criteria for substance use disorders or pathological gambling, no or few criteria relevant for an addiction diagnosis, time spent online, or resulting problems. Second, reported prevalence rates differ as a consequence of different assessment tools and cut-offs, ranging from 0.8% in Italy to 26.7% in Hong Kong. Third, Internet addiction is associated with a number of sociodemographic, Internet use, and psychosocial factors, as well as comorbid symptoms and disorder in adolescents and adults. The results indicate that a number of core symptoms (i.e., compulsive use, negative outcomes and salience) appear relevant for diagnosis, which assimilates Internet addiction and other addictive disorders and also differentiates them, implying a conceptualisation as syndrome with similar etiology and components, but different expressions of addictions. Limitations include the exclusion of studies with smaller sample sizes and studies focusing on specific online behaviours. Conclusively, there is a need for nosological precision so that ultimately those in need can be helped by translating the scientific evidence established in the context of Internet addiction into actual clinical practice.

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“…Similarly, for different datasets, separate scales can be designed for the resources (for example, an entertainment scale as part of the personal field), and while these scales might contain different individual measures (e.g., playing games or watching videos as measures of the entertainment resource), in different studies they should measure the same underlying construct on the aggregate resource level. Some cross‐national surveys on internet use, such as the World Internet Project and the Eurobarometer studies, have tried to incorporate a variety of items that can be classified in this way (see Helsper & Gerber, ) and which might serve as guidelines. Nevertheless, since no study or intervention has been designed with a theoretical model or clear classification of engagement in mind, good instruments that cover all resources through a variety of items measuring each resource are often missing.…”

Section: Conceptualization Of Fields Of Offline Resourcesmentioning

confidence: 99%

A Corresponding Fields Model for the Links Between Social and Digital Exclusion

2012

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The notion of digital exclusion has become important in communications research but remains under-theorized. This article proposes a theoretical model that hypothesizes how specific areas of digital and social exclusion influence each other. In this corresponding fields model it is argued that they relate mostly for similar (economic, cultural, social and personal) fields of resources. The model further proposes that the influence of offline exclusion fields on digital exclusion fields is mediated by access, skills and attitudinal or motivational aspects. On the other hand, the relevance, quality, ownership and

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The Plausibility of Cross-National Comparisons of Internet Use Types

Cited by 16 publications

References 62 publications

Modeling the second-level digital divide: A five-country study of social differences in Internet use

Modeling the second-level digital divide: A five-country study of social differences in Internet use

Internet Addiction: A Systematic Review of Epidemiological Research for the Last Decade

A Corresponding Fields Model for the Links Between Social and Digital Exclusion

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