The DOI matches its Crossref record; 61 of the 65 references it cites were found in a registry or an index; none of the 26 sources its claims cite is checked for support yet.
Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms
Open accessAbstract
Background and Aims: Most people use the Internet in a functional way to achieve certain goals and needs. However, there is an increasing number of people who experience negative consequences like loss of control and distress based on an excessive use of the Internet and its specific online applications. Some approaches postulate similarities with behavioral addictions as well as substance dependencies. They differentiate between a generalized and a specific Internet addiction, such as the pathological use of social networking sites (SIA–SNS). Prior studies particularly identified the use of applications, personal characteristics, and psychopathological symptoms as significant predictors for the development and maintenance of this phenomenon. So far, it remains unclear how psychopathological symptoms like depression and social anxiety interact with individual expectancies of Internet use and capabilities of handling the Internet, summarized as Internet literacy. Methods: The current study ( N = 334) investigated the interaction of these components in a structural equation model. Results: The results indicate that the effects of depression and social anxiety on SIA–SNS were mediated by Internet use expectancies and self-regulation. Discussion: Thus, Internet use expectancies seem to be crucial for SIA–SNS, which is in line with prior models. Conclusions: SNS use may be reinforced by experienced gratification and relief from negative feelings. Individual competences in handling the Internet may be preventive for the development of SIA–SNS.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Overall, the predictors significantly explained 51.2% of the variance of SIA–SNS.”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Results > Structural equation model
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The effect of psychopathological symptoms on SIA–SNS was partially mediated by Internet use expectancies (β = .191, SE = .051, p < .001) and self-regulation (β = .051, SE = .019, p = .007).”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Results > Structural equation model
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- The authors state this as an assumption: The Internet literacy sub-dimension self-regulation can decrease the probability of developing an SIA–SNS.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As expected, psychopathological symptoms was a significant positive predictor of SIA–SNS as well as of Internet use expectancies but a negative predictor of self-regulation.”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Results > Structural equation model
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The effect of psychopathological symptoms on SIA–SNS was partially mediated by Internet use expectancies (β = .191, SE = .051, p < .001) and self-regulation (β = .051, SE = .019, p = .007).”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Results > Structural equation model
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- The authors state this as an assumption: People with depressive symptoms and social anxiety expect SNS as a possibility to handle negative emotions.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, Internet literacy was not optimally represented by these two manifest variables (self-regulation: β = .466; production and interaction: β = −.459).”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Results > Structural equation model
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As expected, psychopathological symptoms was a significant positive predictor of SIA–SNS as well as of Internet use expectancies but a negative predictor of self-regulation.”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Results > Structural equation model
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As expected, psychopathological symptoms was a significant positive predictor of SIA–SNS as well as of Internet use expectancies but a negative predictor of self-regulation.”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Results > Structural equation model
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Internet use expectancies had a significant positive effect on SIA–SNS.”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Results > Structural equation model
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The latent dimensions of SIA–SNS, psychopathology, and Internet use expectancies were well represented by the manifest variables (factor loading from .600 to .854).”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Results > Structural equation model
Load-bearingStrength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The first structural equation model, using self-regulation, showed a good model fit. The RMSEA was .070, CFI = .979, TLI = .956, SRMR = .043, χ2 = 26.51, p < .003.”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Results > Structural equation model
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes
- The quote only partly states this claim. 2
- It may state two separate claims as one. 10
- Probably not a substantial claim. 13
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The proposed structural equation model showed a relatively weak fit with the data. The RMSEA was .113 (p = .089), CFI = .927, TLI = .864, SRMR = .071. The χ2-test was significant (χ2 = 78.83, p < .001).”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Results > Structural equation model
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe quote only partly states this claim.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Moreover, Internet use expectancies as well as self regulation partially mediated the link between psychopathological symptoms and SIA–SNS.”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We found the same relationships between psychopathological symptoms and SIA–SNS respectively Internet use expectancies and self-regulation as well as Internet use expectancies and SIA–SNS.”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Results > Additional analyses
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesThe quote only partly states this claim.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Additionally, the manifest variable positive reinforcement loaded on the latent dimension Internet use expectancies only with a medium effect, while avoidance expectancies loaded on the dimension with a large effect.”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The partial mediation of psychopathological symptoms to SIA–SNS mediated by Internet use expectancies was found for women (β = .195, SE = .060, p = .001), but not for men (β = .137, SE = .079, p = .082).”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Results > Additional analyses
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“To control for gender we calculated group comparisons with all used variables and found significant differences between male and female participants only for s-IAT–SNS craving/social problems (t(150.42) = −2.92, p = .004).”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Results > Additional analyses
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, it seems that these two do not represent a common latent domain, but potentially represent conceptually relatively different aspects of handling the Internet competently.”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Results > Structural equation model
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, Internet use expectancies seem to be crucial for SIA–SNS, which is in line with prior models.”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Abstract > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- The authors state this as an assumption: People with depressive symptoms and social anxiety expect SNS as a possibility to handle negative emotions.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The subscale depression consists of six items and had a good internal consistency (Cronbach’s a = .808).”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Methods > Measures and Procedure
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“It seems that those users feel more comfortable with computers than to interact with people directly in real life (Leung & Lee, 2012).”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Introduction > The role of Internet literacy as mediator of SIA–SNS
What the sources say
- Not checked yetcites Leung & Lee, 2012
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“It is also part of the treatment model proposed by Young (2011) that describes the impact of psychopathological symptoms and social cognition on IA mediated by individual cognitions like Internet use expectancies or coping strategies.”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Discussion
What the sources say
- Not checked yetcites Young (2011)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“Studies postulated that women are in general more active on SNS than men (Chak & Leung, 2004; Moore & McElroy, 2012; Szczegielniak, Palka & Krysta, 2013).”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Discussion
What the sources say
- Not checked yetcites Chak & Leung, 2004
- Not checked yetcites Moore & McElroy, 2012
- Not checked yetcites Szczegielniak, Palka & Krysta, 2013
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“They found that the ability to deal with information overload and a great knowledge about Internet functions are associated with loss of control and the preference of being online.”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Introduction > The role of Internet literacy as mediator of SIA–SNS
What the sources say
- Not checked yetcites Leung and Lee (2012)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Both scales had a good reliability (Cronbach’s α; positive reinforcement: α = .829, avoidance expectancies: α = .785, overall: α = .843) (Brand, Laier et al., 2014).”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Methods > Measures and Procedure
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“These deficits are linked to substance abuse and could be core mechanisms of IA respectively SIA–SNS (Khang et al., 2014; LaRose, Mastro & Eastin, 2001).”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Introduction > The role of Internet expectancies as mediator of SIA–SNS
What the sources say
- Not checked yetcites Khang et al., 2014
- Not checked yetcites LaRose, Mastro & Eastin, 2001
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The subscale interpersonal sensitivity had four items and the internal consistency was acceptable (Cronbach’s a = .773).”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Methods > Measures and Procedure
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“In line with the UAG it illustrates that users choose media to gratify individual needs or to experience entertainment or social support.”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Discussion
What the sources say
- Not checked yetcites LaRose et al., 2001
- Not checked yetcites Smock et al., 2011
- Not checked yetcites Song et al., 2004
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Furthermore, we also used a newly developed questionnaire to evaluate Internet literacy.”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Discussion
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The internal consistency (Cronbach’s α) was acceptable: production and interaction: α = .741, self-regulation: α = .728.”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Methods > Measures and Procedure
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“Gender effects were also found for other SIA like cybersex addiction (Griffiths, 2012; Laier, Pekal & Brand, 2014) or online gaming (Brand, Laier et al., 2014; Ko, Yen, Chen, Chen & Yen, 2005).”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Discussion
What the sources say
- Not checked yetcites Griffiths, 2012
- Not checked yetcites Laier, Pekal & Brand, 2014
- Not checked yetcites Brand, Laier et al., 2014
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“We used an online survey to collect the data and had no laboratory or standardized conditions.”
§ Addictive use of social networking sites can be explained by the interaction of Internet use expectancies, Internet literacy, and psychopathological symptoms > Discussion
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The authors state this as an assumption.
Internet users have certain needs and goals that can be achieved by different Internet applications.
“It is based on the assumption that Internet users have certain needs and goals, which can be achieved by different Internet applications.”
The authors state this as an assumption.
Depressive people have less self-control and are socially isolated.
“It is based on the assumption that depressive people have less self-control and are socially isolated (Hong et al., 2014).”
The authors state this as an assumption.
Users experience online gratification of needs.
“A further explanation of the relationship between IA and UAG is based on the assumption that users experience online gratification of needs.”
The authors state this as an assumption.
The gratification of individual and social needs by SNS can be summarized as expected outcome.
“Thereby, it is assumed that the gratification of individual and social needs by SNS can be summarized as expected outcome.”
The authors state this as an assumption.
People with depressive symptoms and social anxiety expect SNS as a possibility to handle negative emotions.
“Moreover, we assume that people with depressive symptoms and social anxiety expect SNS as a possibility to handle negative emotions.”
The authors state this as an assumption.
The Internet literacy sub-dimension self-regulation can decrease the probability of developing an SIA–SNS.
“We assume that the Internet literacy sub-dimension selfregulation can decrease the probability of developing an SIA–SNS.”
The authors state this as an assumption.
The mechanism by which individual experiences with SNS lead to positive reinforcement of needs and cognitions is based on the expectancy to experience gratification and satisfy desires, and these experiences increase the likelihood of SIA–SNS.
“This mechanism is assumed to be based upon the expectancy to experience gratification and to satisfy certain desires and that these experiences increase the likelihood of SIA–SNS (Brand, Young et al., 2014; Robinson & Berridge, 2000, 2003).”
The paper relies on this without support.
The BSI interpersonal sensitivity subscale measures social anxiety.
“psychopathological symptoms like depression and social anxiety (operationalized by the BSI subscale interpersonal sensitivity)”
The paper relies on this without support.
Self-regulation is an aspect of Internet literacy.
“self-regulation as mediator representing an aspect of Internet literacy”
The paper relies on this without support.
Production and interaction is a component of Internet literacy.
“Production and interaction as a component of Internet literacy”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Moreover, positive metacognitions about Internet use have been shown to mediate the relationship between emotional dysregulation and Internet addiction (Casale et al., 2016) as well as the relationship between psychopathological symptoms (depression, social anxiety) and the addictive use of social-networking sites (Wegmann et al., 2015).”
From Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model (2016) · cites this paper as Wegmann et al., 2015
Experimental — accuracy not yet measuredIn the citing paper
“Empirical research has reported strong relationships between SNS addiction and other forms of technological and behavioral addiction, such as Internet gaming addiction (Andreassen, Billieux, et al., 2016) and Internet addiction (Monacis, de Palo, Griffiths, & Sinatra, 2016; Wegmann, Stodt, & Brand, 2015)”
From Social networking addiction, attachment style, and validation of the Italian version of the Bergen Social Media Addiction Scale (2017) · cites this paper as Wegmann, Stodt, & Brand, 2015
In the citing paper
“This has already been shown in previous studies emphasizing that the effect of a person's core characteristics, such as depression and social anxiety, is partially mediated by specific cognitions such as individual's Internet-use expectancies, coping style and self-regulation abilities (Wegmann and Brand, 2016, Wegmann et al., 2015).”
From Online-specific fear of missing out and internet-use expectancies contribute to symptoms of internet-communication disorder (2017) · cites this paper as Wegmann et al., 2015
In the citing paper
“positive correlations were found between depression and negative social networking interactions, 34,39,40”
From The Relationship Between Online Social Networking and Depression: A Systematic Review of Quantitative Studies (2016) · cites this paper as [40]
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Consistentt(150.42) = -2.92reported p = .004 · recomputed p = .004
“t(150.42) = −2.92, p = .004”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
A weaker negative correlation receives a stronger significance mark
MinorTable 1 marks −.111 with two stars but −.117 with one. For correlations calculated from the same sample, the smaller absolute correlation cannot have the smaller p-value.
“| 7. IUE – avoidance expectancies | 2.36 (1.12) | | | | | | | .102 | .437** | −.111** | −.347** |”
“| 2. s-IAT–SNS 1 (loss of control/time management) | 12.97 (4.78) | | .638** | .412** | .420** | .290** | .402** | .107 | .315** | −.117* | −.345** |”
A stronger correlation receives a weaker significance mark
MinorWith the same sample size, a correlation of .364 must have a smaller p-value than one of .315. Table 1 marks the former with one star and the latter with two.
“| 1. s-IAT–SNS sum score | 22.52 (7.57) | .932** | .874** | .455** | .484** | .330** | .456** | .122* | .364* | −.137* | −.356** |”
“| 2. s-IAT–SNS 1 (loss of control/time management) | 12.97 (4.78) | | .638** | .412** | .420** | .290** | .402** | .107 | .315** | −.117* | −.345** |”
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“…Internet use expectancies and Internet literacy in predicting SIA–SNS in adolescents and younger adults, who are reported to be more vulnerable to negative consequences due to their Internet use (Andreassen et al., 2013; Korkeila et al., 2010; Kuss & Griffiths, 2011; Tonioni et al., 2012).”
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Cited by
Sorted by citations
Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.033 · Cited by 2,416
“…Internet use have been shown to mediate the relationship between emotional dysregulation and Internet addiction (Casale et al., 2016) as well as the relationship between psychopathological symptoms (depression, social anxiety) and the addictive use of social-networking sites (Wegmann et al., 2015).”
Self-citationDhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.01.012 · Cited by 1,033
Problematic social media use: Results from a large-scale nationally representative adolescent sample
Bányai, F., Zsila, Á., Király, O., Maraz, A., Elekes, Z., Griffiths, M. D., Andreassen, C. S., & Demetrovics, Z. (2017) · PLOS ONE · doi:10.1371/journal.pone.0169839 · Cited by 984
Oberst, U., Wegmann, E., Stodt, B., Brand, M., & Chamarro, A. (2017) · Journal of Adolescence · doi:10.1016/j.adolescence.2016.12.008 · Cited by 894
Self-citationSocial Networking Sites, Depression, and Anxiety: A Systematic Review
Seabrook, E. M., Kern, M. L., & Rickard, N. S. (2016) · JMIR Mental Health · doi:10.2196/mental.5842 · Cited by 763
“Wegmann et al [121] suggested that depressive symptoms and social anxiety have both a significant direct relationship with SNS-specific addiction and a partially mediated pathway to SNS-specific addiction via 2 cognitive styles: self-regulation and Internet use expectancies.”
Metadata
- Authors
- Wegmann, E., Stodt, B., & Brand, M.
- Affiliations
- University of Duisburg-Essen (DE)
- Erwin L. Hahn Institute for Magnetic Resonance Imaging (DE)
- Corresponding author
- Brand, Matthias
- Venue
- Journal of Behavioral Addictions
- Publisher
- Akademiai Kiado Zrt.
- Published
- 2015-09
- Volume
- 4
- Issue
- 3
- Pages
- 155-162
- ISSN
- 2062-5871 (ISSN-L)
- PMC
- PMC4627676
- OpenAlex
- W2154796819
- Semantic Scholar
- b133c541cee79cc58d52574fb2f97a0e47306aae
- Cited by
- 223
- References
- 65
- Citations by year
- 2026: 19 · 2025: 16 · 2024: 10 · 2023: 29 · 2022: 25 · 2021: 31 · 2020: 28 · 2019: 21 · 2018: 16 · 2017: 19 · 2016: 9
- FWCI
- 48.53
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Behavioral Addictions (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) (acceptedVersion)
- DuEPublico (University of Duisburg-Essen) (submittedVersion, cc-by)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
- Keywords
- internet addiction, internet literacy, depression, social anxiety, self-regulation, behavioral addiction, psychiatric symptoms
- MeSH terms
- Literacy, Adolescent, Adult, Anxiety Disorders, Depressive Disorder, Female, Humans, Male, Behavior, Addictive, Internet, Young Adult, Social Networking
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