Social media addiction: associations with attachment style, mental distress, and personality
Open accessAbstract
Background: Social media bring not only benefits but also downsides, such as addictive behavior. While an ambivalent closed insecure attachment style has been prominently linked with internet and smartphone addiction, a similar analysis for social media addiction is still pending. This study aims to explore social media addiction, focusing on variations in attachment style, mental distress, and personality between students with and without problematic social media use. Additionally, it investigates whether a specific attachment style is connected to social media addiction. Methods: Data were collected from 571 college students (mean age = 23.61,SD = 5.00, 65.5% female; response rate = 20.06%) via an online survey administered to all enrolled students of Sigmund Freud PrivatUniversity Vienna. The Bergen Social Media Addiction Scale (BSMAS) differentiated between students addicted and not addicted to social media. Attachment style was gauged using the Bielefeld Partnership Expectations Questionnaire (BFPE), mental distress by the Brief Symptom Inventory (BSI-18), and personality by the Big Five Inventory (BFI-10). Results: Of the total sample, 22.7% of students were identified as addicted to social media. For personality, it was demonstrated that socially media addicted (SMA) students reported significantly higher values on the neuroticism dimension compared to not socially media addicted (NSMA) students. SMA also scored higher across all mental health dimensions—depressiveness, anxiety, and somatization. SMA more frequently exhibited an insecure attachment style than NSMA, specifically, an ambivalent closed attachment style. A two-step cluster analysis validated the initial findings, uncovering three clusters: (1) secure attachment, primarily linked with fewer occurrences of social media addiction and a lower incidence of mental health problems; (2) ambivalent closed attachment, generally associated with a higher rate of social media addiction and increased levels of mental health problems; and (3) ambivalent clingy attachment, manifesting a medium prevalence of social media addiction and a relatively equitable mental health profile. Conclusions: The outcomes are aligned with previous research on internet and smartphone addiction, pointing out the relevance of an ambivalent closed attachment style in all three contexts. Therapeutic interventions for social media addiction should be developed and implemented considering these findings.
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Written from the paper’s full text.
TL;DR
This cross-sectional online survey of 571 university students found that 22.7% were classified as addicted to social media, and those students reported higher neuroticism, more mental distress, and more insecure—especially ambivalent closed—attachment than non-addicted students. The authors conclude that an ambivalent closed attachment style is relevant to social media addiction, as previously found for internet and smartphone addiction.
Key findings
- Of 571 students, 131 (22.7%) were classified as social media addicted (SMA) using the BSMAS cutoff of 19/30; SMA were 79.39% female versus 61.36% female among non-addicted (NSMA).
- SMA scored significantly higher on neuroticism (M = 3.40, SD = 0.85) than NSMA (M = 3.00, SD = 0.85; U = 20636.50, Z = −5.02, p < .001), but did not differ on extraversion (SMA M = 3.56, SD = 0.85 vs. NSMA M = 3.58, SD = 0.94; U = 28408.5, Z = −0.25, p = .801).
- SMA reported higher depression (M = 7.93, SD = 5.25 vs. M = 3.06, SD = 3.59), anxiety (M = 6.18, SD = 5.34 vs. M = 2.92, SD = 3.61), and somatization (M = 3.60, SD = 4.02 vs. M = 1.82, SD = 2.48), all p < .001.
- Insecure attachment was disproportionately associated with SMA (χ²(1) = 9.28, p = .002, C = 0.13), and among five attachment styles, ambivalent closed had disproportionately more SMA (corrected residual = 4.8; χ²(4) = 30.75, p < .001, C = 0.24). A three-cluster solution identified secure attachment (lowest addiction), ambivalent clingy attachment (medium addiction), and ambivalent closed attachment (highest addiction).
Methods
- Data came from an online survey administered to all enrolled students at Sigmund Freud PrivatUniversity Vienna from January to March 2021; final sample was 571 students (mean age = 23.61, SD = 5.00; 65.5% female; response rate = 20.06%).
- Social media addiction was measured with the Bergen Social Media Addiction Scale (BSMAS), attachment style with the Bielefeld Partnership Expectations Questionnaire (BFPE), mental distress with the Brief Symptom Inventory (BSI-18), and personality with the Big Five Inventory (BFI-10).
- Analyses used SPSS version 27, including Mann-Whitney U tests, chi-square tests, and a two-step cluster analysis with BIC and silhouette measures to determine and validate cluster number.
Limitations
- The paper states that data are self-reported in an online survey, with possible self-selection bias; the sample is not representative due to narrow age distribution and educational level, and female students contributed disproportionately.
- The paper states the design is cross-sectional, so temporal or causal directions cannot be established, and future studies should check participants’ psychiatric history.
- The paper notes that the non-binary gender category was omitted from cluster analysis because of very small case numbers; this is stated in the text.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
22 of 73 cited sources checked · 10 supported · 0 flagged · accuracy not yet measured
- Premisecitation
An ambivalently attached style is particularly relevant in both problematic smartphone and problematic internet usage contexts.
“Notably, an ambivalently attached style was identified as particularly relevant in both contexts.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [34] Eichenberg C, Schott M, Schroiff A. Comparison of students with and without problematic smartphone use in light of attachment style. Front Psychiatry. 2019;10:681. source
The Results and Discussion identify the ambivalent-closed attachment style as especially associated with problematic smartphone use. The Discussion reports a relationship between Internet addiction and insecure attachment generally, but does not identify an ambivalent style as particularly relevant to Internet addiction. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [36] Eichenberg C, Schott M, Decker O, Sindelar B. Attachment style and internet addiction: an online survey. J Med Internet Res. 2017;19:e170. source
The Discussion (Principal Findings; page unavailable) says ambivalent attachment styles were particularly associated with pathological Internet use. The paper does not establish the same association for problematic smartphone use, so it supports only the Internet-use context. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Findingown data
The total sample showed higher somatization levels than a norm sample.
“The total sample showed in comparison with a norm sample high levels of each of the three dimensions of depression (M = 4.18; SD = 4.52 vs. Mnorm=1.27; SDnorm=2.5, Franke et al. 2017) (t(570) = 15.40, p <.001), anxiety (M = 3.67; SD = 4.30, vs. Mnorm=1.09; SDnorm=2.1, ibd.) (t(570) = 14.35, p <.001), and somatization (M = 2.23, SD = 3.00, vs. Mnorm=0.70; SDnorm=14.8, ibd.) (t(570) = 12.18, p <.001”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Franke et al. 2017 source
Table 2 (Results; page unavailable) reports a somatization mean of 0.70 for the representative sample’s 25–34-year-old subgroup, below the citing paper’s reported mean of 2.23. It does not give 0.70 as the mean for the entire norm sample; Table 1 gives that sample’s mean as 1.46. Table 2 also gives the subgroup SD as 1.8, not the cited 14.8. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Findingown data
The total sample showed higher depression levels than a norm sample.
“The total sample showed in comparison with a norm sample high levels of each of the three dimensions of depression (M = 4.18; SD = 4.52 vs. Mnorm=1.27; SDnorm=2.5, Franke et al. 2017) (t(570) = 15.40, p <.001), anxiety (M = 3.67; SD = 4.30, vs. Mnorm=1.09; SDnorm=2.1, ibd.) (t(570) = 14.35, p <.001), and somatization (M = 2.23, SD = 3.00, vs. Mnorm=0.70; SDnorm=14.8, ibd.) (t(570) = 12.18, p <.001”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Franke et al. 2017 source
- Study design and conductcitation
A cutoff score of 19 out of 30 on the BSMAS was adopted for classifying social media addiction.
“As suggested by a substantial Hungarian study involving 6000 adolescents [20], a cutoff score of 19 out of 30 was adopted.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [20] Bányai F, Zsila Á, Király O, Maraz A, Elekes Z, Griffiths MD, et al. Problematic social media use: results from a large-scale nationally representative adolescent sample. PLoS ONE. 2017;12:e0169839. source
- Findingown data
The total sample showed higher anxiety levels than a norm sample.
“The total sample showed in comparison with a norm sample high levels of each of the three dimensions of depression (M = 4.18; SD = 4.52 vs. Mnorm=1.27; SDnorm=2.5, Franke et al. 2017) (t(570) = 15.40, p <.001), anxiety (M = 3.67; SD = 4.30, vs. Mnorm=1.09; SDnorm=2.1, ibd.) (t(570) = 14.35, p <.001), and somatization (M = 2.23, SD = 3.00, vs. Mnorm=0.70; SDnorm=14.8, ibd.) (t(570) = 12.18, p <.001”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Franke et al. 2017 source
Table 2 (Results > Factorial validity; page unavailable) reports an anxiety mean of 1.09 (SD 2.1), but only for participants aged 25–34 in the representative German sample. Table 1 reports 1.44 (SD 2.59) for the full sample. The cited paper supplies the quoted reference value, but the citing sentence presents an age-specific value as though it described the norm sample overall; the comparison with the citing authors’ sample is their own analysis. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
The BSI-18 assesses mental stress validly in both normal and clinical populations.
“The BSI-18 assesses validly mental stress in both normal population [48] and clinical populations [49].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [48] Franke GH, Jaeger S, Glaesmer H, Barkmann C, Petrowski K, Braehler E. Psychometric analysis of the brief symptom inventory 18 (BSI-18) in a representative German sample. BMC Med Res Methodol. 2017;17:14. source
- cites [49] Franke GH, Ankerhold A, Haase M, Jäger S, Tögel C, Ulrich C, et al. Der Einsatz Des brief symptom inventory 18 (BSI-18) Bei psychotherapiepatienten. Psychother Psych Med. 2011;61:82–6. source
- Premisecitation
A systematic review has provided evidence linking insecure attachment styles with both internet addiction in general and social media addiction in particular.
“A systematic review has provided evidence linking insecure attachment styles with both internet addiction in general and social media addiction in particular [64].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [64] D’Arienzo MC, Boursier V, Griffiths MD. Addiction to social media and attachment styles: a systematic literature review. Int J Ment Health Addict. 2019;17:1094–118. source
- Interpretationcitation
These results are consistent with previous data suggesting this style is prevalent for internet-related addictions, as observed in the context of both smartphone and internet addictions.
“These results are consistent with previous data suggesting this style is prevalent for internet-related addictions, as observed in the context of both smartphone [34] and internet [36] addictions.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [34] Eichenberg C, Schott M, Schroiff A. Comparison of students with and without problematic smartphone use in light of attachment style. Front Psychiatry. 2019;10:681. source
- cites [36] Eichenberg C, Schott M, Decker O, Sindelar B. Attachment style and internet addiction: an online survey. J Med Internet Res. 2017;19:e170. source
The Discussion (Principal Findings; page unavailable) reports that ambivalent attachment styles were particularly associated with pathological Internet-use tendencies, supporting the internet-related part of the claim. The Limitations section says the study lacked participants classified as addicted, so it cannot establish that this style is prevalent among people with diagnosed Internet addiction. The smartphone finding is attributed to a different citation, not this paper. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
There is a documented positive correlation between somatization and internet addiction in adolescents.
“As for somatization, there’s a documented positive correlation with internet addiction in adolescents [61–63].”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [61] Cerutti R, Spensieri V, Amendola S, Presaghi F, Fontana A, Faedda N, et al. Sleep disturbances partially mediate the association between problematic internet use and somatic symptomatology in adolescence. Curr Psychol. 2021;40:4581–9. source
- cites [62] Cerruti R, Spensieri V, Presaghi F, Valastro C, Fontana A, Guidetti V. An exploratory study on internet addiction, somatic symptoms and emotional and behavioral functioning in school-aged adolescents. Clin Neuropsychiatry. 2017.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [63] Cerutti R, Presaghi F, Spensieri V, Valastro C, Guidetti V. The potential impact of internet and mobile use on headache and other somatic symptoms in adolescence. A Population-Based Cross‐Sectional Study. Headache. 2016;56:1161–70. source
The paper reports higher somatic-symptom scores among daily than occasional internet users in some headache groups, and its Results compare somatization scores within internet-addiction groups. It does not establish the claimed positive correlation between somatization and internet addiction itself; frequency of use is not the same as addiction, and the addiction-group comparisons are across headache groups. Page numbers are unavailable in our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Findingown data
Avoidant closed attachment style had disproportionately more NSMA.
“The five individual attachment styles differ in the frequency distribution of social media addiction, χ²(4) = 30.75, p <.001, C = 0.24, with avoidant closed (corrected residuals:3.2) having disproportionately more NSMA, ambivalent closed (corrected residuals: 4.8) having disproportionately more SMA, and conditionally secure (corrected residuals: 2.4) having disproportionately more NSMA (see Fig. 2”
Quote in the paperSubstantial claim - Findingown data
The five individual attachment styles differed in the frequency distribution of social media addiction.
“The five individual attachment styles differ in the frequency distribution of social media addiction, χ²(4) = 30.75, p <.001, C = 0.24, with avoidant closed (corrected residuals:3.2) having disproportionately more NSMA, ambivalent closed (corrected residuals: 4.8) having disproportionately more SMA, and conditionally secure (corrected residuals: 2.4) having disproportionately more NSMA (see Fig. 2”
Quote in the paperSubstantial claim - Findingown data
SMA reported higher anxiety scores on the BSI-18 than NSMA.
“Moreover, SMA reported still higher scores on all three scales of the BSI-18: depression (SMA M = 7.93, SD = 5.25, NSMA M = 3.06, SD = 3.59) (U = 11,606, Z = -10.47, p <.001), anxiety (SMA M = 6.18, SD = 5.34, NSMA M = 2.92, SD = 3.61) (U = 16,841, Z = -7.31, p <.001), and somatization (SMA M = 3.60, SD = 4.02, NSMA M = 1.82, SD = 2.48) (U = 19,730, Z = -5.64, p <.001) than NSMA.”
Quote in the paperSubstantial claim - Findingown data
SMA reported higher somatization scores on the BSI-18 than NSMA.
“Moreover, SMA reported still higher scores on all three scales of the BSI-18: depression (SMA M = 7.93, SD = 5.25, NSMA M = 3.06, SD = 3.59) (U = 11,606, Z = -10.47, p <.001), anxiety (SMA M = 6.18, SD = 5.34, NSMA M = 2.92, SD = 3.61) (U = 16,841, Z = -7.31, p <.001), and somatization (SMA M = 3.60, SD = 4.02, NSMA M = 1.82, SD = 2.48) (U = 19,730, Z = -5.64, p <.001) than NSMA.”
Quote in the paperSubstantial claim - Findingown data
SMA reported higher depression scores on the BSI-18 than NSMA.
“Moreover, SMA reported still higher scores on all three scales of the BSI-18: depression (SMA M = 7.93, SD = 5.25, NSMA M = 3.06, SD = 3.59) (U = 11,606, Z = -10.47, p <.001), anxiety (SMA M = 6.18, SD = 5.34, NSMA M = 2.92, SD = 3.61) (U = 16,841, Z = -7.31, p <.001), and somatization (SMA M = 3.60, SD = 4.02, NSMA M = 1.82, SD = 2.48) (U = 19,730, Z = -5.64, p <.001) than NSMA.”
Quote in the paperSubstantial claim - Findingown data
SMA had a significantly higher likelihood of having an ambivalent closed attachment style.
“So, findings show that participants with social media addiction had a significant higher likelihood to have an ambivalent closed attachment style.”
- Also stated in: § Results · plain
“SMA more frequently exhibited an insecure attachment style than NSMA, specifically, an ambivalent closed attachment style.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Social media addiction is a meaningful construct that can be measured by the BSMAS despite not being officially recognized in diagnostic classification systems.
- Also stated in: § Results · plain
- Findingown data
SMA more frequently exhibited an insecure attachment style than NSMA.
“SMA more frequently exhibited an insecure attachment style than NSMA, specifically, an ambivalent closed attachment style.”
- Also stated in: § Attachment style · plain
“Secure attachment style (corrected residuals: 3.1) is related to a disproportionately higher number of NSMA and insecure attachment style (corrected residuals: 3.1) is related to a disproportionately higher number of SMA, χ²(1) = 9.28, p =.002, C = 0.13”
Quote in the paperSubstantial claim - Also stated in: § Attachment style · plain
- Findingown data
The total sample was significantly more neurotic than a comparable norm sample.
“regarding neuroticism, the sample (M = 3.09, SD = 0.87, modus = 2.5, Md = 3) is significantly more neurotic than a comparable norm sample (M = 2.25, SD = 0.69, Rammstedt et al. 2012) (t(570) = 23.15, p <.001).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Rammstedt et al. 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
The two-step cluster analysis suggested a three-cluster solution as the most appropriate fit.
“The two-step cluster analysis suggested a three-cluster solution as the most appropriate fit.”
Quote in the paperSubstantial claim - Findingown data
Conditionally secure attachment style had disproportionately more NSMA.
“The five individual attachment styles differ in the frequency distribution of social media addiction, χ²(4) = 30.75, p <.001, C = 0.24, with avoidant closed (corrected residuals:3.2) having disproportionately more NSMA, ambivalent closed (corrected residuals: 4.8) having disproportionately more SMA, and conditionally secure (corrected residuals: 2.4) having disproportionately more NSMA (see Fig. 2”
Quote in the paperNot a substantial claim - Findingown data
SMA did not differ from NSMA on extraversion.
“However, on the dimension of extraversion, SMA (M = 3.56, SD = 0.85) did not differ from NSMA (M = 3.58, SD = 0.94) (U = 28408.5, Z = − 0.25, p =.801).”
Quote in the paperNot a substantial claim - Findingown data
Students addicted to social media (SMA) scored significantly higher on neuroticism than non-addicted students (NSMA).
“For personality, it was demonstrated that socially media addicted (SMA) students reported significantly higher values on the neuroticism dimension compared to not socially media addicted (NSMA) students.”
- Also stated in: § Personality · plain
“Further, it was found that SMA (M = 3.40, SD = 0.85) scored significantly higher than NSMA (M = 3.00, SD = 0.85) on the dimension of neuroticism and thus could be classified as more emotionally unstable (U = 20636.50, Z = -5.02, p <.001).”
Quote in the paperSubstantial claim - Also stated in: § Personality · plain
- Findingown data
The SA cluster has the lowest proportion of individuals who are addicted to social media.
“This cluster stands out due to its representation of secure and rather secure attachment styles and has the lowest proportion of individuals who are addicted to social media.”
Quote in the paperNot a substantial claim - Findingown data
There is a smaller but still notable drop from 2 clusters to 3 clusters, with a change of -605.464.
“There is a smaller but still notable drop from 2 clusters to 3 clusters, with a change of -605.464.”
Quote in the paperSubstantial claim - Findingown data
SMA and NSMA did not differ in the extraversion dimension.
“For personality, it was shown that SMA had significantly higher values on the neuroticism dimension than NSMA, but they did not differ in the extraversion dimension.”
Quote in the paperNot a substantial claim - Findingnone given
SMA are more active on image-oriented services such as Instagram and Pinterest.
“Notably, SMA are more active on image-oriented services such as “Instagram” and “Pinterest”.”
Quote in the paperNot a substantial claim - Findingown data
The ambivalent clingy attachment (ACA) cluster (N=178) is relatively balanced in extraversion, neuroticism, depression, anxiety, and somatization.
“The Cluster ambivalent clingy attachment (ACA) (N = 178) is relatively balanced in terms of extraversion, neuroticism, depression, anxiety, and somatization.”
Quote in the paperNot a substantial claim - Findingown data
The ratio of distance measures for the 3-cluster solution is 1.780.
“Even if the ratio for the change from 2 to 3 clusters is 0.512, the ratio of distance measures that indicates how distinct the clusters are from each other is for the 3-cluster solution still 1.780, which suggests that the 3-cluster solution is equally well-defined compared to the 2-cluster solution.”
Quote in the paperSubstantial claim - Findingown data
No difference was observed in the extraversion dimension between SMA and NSMA.
“Conversely, no difference was observed in the extraversion dimension.”
Quote in the paperNot a substantial claim - Findingown data
The BIC drops substantially from 1 cluster to 2 clusters, with a change of -1180.384.
“The BIC drops substantially from 1 cluster to 2 clusters, indicated by a change of -1180.384.”
Quote in the paperSubstantial claim - Findingown data
SMA display significantly higher values for depression, anxiety, and somatization compared to NSMA, even considering the evident distress in the overall sample.
“SMA display significantly higher values for depression, anxiety, and somatization compared to NSMA, even considering the evident distress in the overall sample.”
Quote in the paperSubstantial claim - Findingown data
The ACA cluster is uniquely characterized by the ambivalent clingy attachment style with a balanced representation of social media dependence.
“They are uniquely characterized by the ambivalent clingy attachment style with a balanced representation of social media dependence.”
Quote in the paperNot a substantial claim - Findingown data
After 3 clusters, the BIC drops more slowly, with smaller changes for each additional cluster.
“After 3 clusters, the BIC drops more slowly, with smaller changes for each additional cluster.”
Quote in the paperSubstantial claim - Findingown data
Most SMA displayed an ambivalent closed attachment style.
“In more detail, most SMA displayed an ambivalent closed attachment style.”
Quote in the paperSubstantial claim - Findingown data
Participants of the AVA cluster are exclusively of the ambivalent closed attachment style.
“Participants of this cluster are exclusively of the ambivalent closed attachment style, and a significant portion seems more susceptible to social media addiction.”
Quote in the paperNot a substantial claim - Findingown data
SMA had significantly higher values on the neuroticism dimension than NSMA.
“For personality, it was shown that SMA had significantly higher values on the neuroticism dimension than NSMA, but they did not differ in the extraversion dimension.”
Quote in the paperSubstantial claim - Findingown data
The SA cluster is characterized by representation of secure and rather secure attachment styles.
“This cluster stands out due to its representation of secure and rather secure attachment styles and has the lowest proportion of individuals who are addicted to social media.”
Quote in the paperNot a substantial claim - Findingnone given
The prevalence rate of social media addiction in the sample is 22.8%.
“Prevalence rate of social media addiction (22.8%) lies within the literature reported prevalence of the used instrument (BSMAS), since Chen et al. [10] specify < 10–40% for the BSMAS.”
Quote in the paperNot a substantial claim - Findingown data
A significant portion of the AVA cluster seems more susceptible to social media addiction.
“Participants of this cluster are exclusively of the ambivalent closed attachment style, and a significant portion seems more susceptible to social media addiction.”
Quote in the paperSubstantial claim - Findingown data
The assumption that SMA are more likely to show an insecure attachment was confirmed.
“At least for attachment style, the assumption that SMA are more likely to show an insecure attachment was confirmed here.”
Quote in the paperSubstantial claim - Findingown data
The findings in this study indicate that an ambivalent closed attachment style is significantly associated with social media addiction more frequently.
“However, the findings in this study indicate that an ambivalent closed attachment style is significantly associated with social media addiction more frequently.”
Quote in the paperSubstantial claim - Findingown data
Cluster analysis shows no noteworthy age distribution for the clusters.
“Even if cluster analysis shows no noteworthy age distribution for the clusters, future research should collect sufficient case number for each age group or limit age to a homogenous group.”
Quote in the paperNot a substantial claim - Findingcitation
Users with an insecure attachment style are significantly more likely to exhibit social media addiction than those with a secure attachment style.
“Users with an insecure attachment style are significantly more likely to exhibit social media addiction than those with a secure attachment style.”
Quote in the paperSubstantial claim - Interpretationown data
The outcomes are aligned with previous research on internet and smartphone addiction, pointing out the relevance of an ambivalent closed attachment style in all three contexts.
“The outcomes are aligned with previous research on internet and smartphone addiction, pointing out the relevance of an ambivalent closed attachment style in all three contexts.”
Quote in the paperNot a substantial claim - Premisecitation
A plethora of studies showed a link between social media addiction and attachment in general.
“A plethora of studies showed a link between social media addiction and attachment in general [37–43].”
Quote in the paperSubstantial claim0 of 7 sources checked- cites [37] Hart J, Nailling E, Bizer GY, Collins CK. Attachment theory as a framework for explaining engagement with Facebook. Pers Indiv Differ. 2015;77:33–40. source
- cites [38] Demircioğlu ZI, Köse AG. Mediating effects of self-esteem in the relationship between attachment styles and social media addiction among university students. 2020.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [39] Jenkins-Guarnieri MA, Wright SL, Hudiburgh LM. The relationships among attachment style, personality traits, interpersonal competency, and Facebook use. J Appl Dev Psychol. 2012;33:294–301. source
- cites [40] Liu H, Shi J, Liu Y, Sheng Z. The moderating role of attachment anxiety on social network site use intensity and social capital. Psychol Rep. 2013;112:252–65. source
- cites [41] Oldmeadow JA, Quinn S, Kowert R. Attachment style, social skills, and Facebook use amongst adults. Comput Hum Behav. 2013;29:1142–9. source
- cites [42] Eroglu Y. Interrelationship between attachment styles and Facebook addiction. J Educ Train Stud. 2016;4:150–60.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [43] Yaakobi E, Goldenberg J. Social relationships and information dissemination in virtual social network systems: an attachment theory perspective. Comput Hum Behav. 2014;38:127–35. source
- Premisecitation
Neuroticism and fear of missing out (FOMO) have been identified as predictors of social media addiction.
“The personality trait neuroticism, and the “fear of missing out” or FOMO [26], have been identified as predictors of Social Media Addiction [27].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [26] Milyavskaya M, Saffran M, Hope N, Koestner R. Fear of missing out: prevalence, dynamics, and consequences of experiencing FOMO. Motiv Emot. 2018;42:725–37. source
- cites [27] Blackwell D, Leaman C, Tramposch R, Osborne C, Liss M. Extraversion, neuroticism, attachment style and fear of missing out as predictors of social media use and addiction. Pers Indiv Differ. 2017;116:69–72. source
- Interpretationreasoning
SMA can be classified as more emotionally unstable in comparison with NSMA.
“Thus, SMA can be classified as more emotionally unstable in comparison with NSMA.”
Quote in the paperSubstantial claim - Interpretationown data
SMA may be mentally more strained than NSMA.
“This suggests that SMA may be mentally more strained than NSMA.”
Quote in the paperSubstantial claim - Interpretationown data
The 3-cluster solution is equally well-defined compared to the 2-cluster solution.
“Even if the ratio for the change from 2 to 3 clusters is 0.512, the ratio of distance measures that indicates how distinct the clusters are from each other is for the 3-cluster solution still 1.780, which suggests that the 3-cluster solution is equally well-defined compared to the 2-cluster solution.”
Quote in the paperSubstantial claim - Interpretationreasoning
SMA may experience heightened negative body awareness when comparing themselves to online images.
“This suggests that SMA may experience heightened negative body awareness when comparing themselves to online images.”
Quote in the paperNot a substantial claim - Premisecitation
Individuals scoring high on neuroticism are drawn to social networks as they offer recognition and validation.
“Social media addiction has also been positively linked to neuroticism [27, 28], and individuals scoring high on this trait are drawn to social networks as they offer recognition and validation [27].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [27] Blackwell D, Leaman C, Tramposch R, Osborne C, Liss M. Extraversion, neuroticism, attachment style and fear of missing out as predictors of social media use and addiction. Pers Indiv Differ. 2017;116:69–72. source
- Interpretationown data
Further evidence for the connection between mental disorders and internet-related addictions in terms of comorbidity was found in the present study.
“Consequently, further evidence for the connection between mental disorders and internet-related addictions in terms of comorbidity was found in the present study.”
Quote in the paperSubstantial claim - Premisecitation
The BFPE is validated based on a German translation of the Adult Attachment Scale (AAS).
“A validation is based on a German translation of the “Adult Attachment Scale” (AAS [54]),.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [54] Collins NL, Read SJ. Adult attachment, working models, and relationship quality in dating couples. J Personal Soc Psychol. 1990;58:644–63. source
- Interpretationown data
Social media addicted users are comparatively more mentally stressed than NSMA.
“Further, SMA scored significantly higher on all three levels—depressiveness, anxiety, and somatization—than the group of NSMA, i.e., social media addicted users are comparatively more mentally stressed.”
Quote in the paperSubstantial claim - Premisecitation
Social media addiction has been positively linked to neuroticism.
“Social media addiction has also been positively linked to neuroticism [27, 28], and individuals scoring high on this trait are drawn to social networks as they offer recognition and validation [27].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [27] Blackwell D, Leaman C, Tramposch R, Osborne C, Liss M. Extraversion, neuroticism, attachment style and fear of missing out as predictors of social media use and addiction. Pers Indiv Differ. 2017;116:69–72. source
- cites [28] Marengo D, Poletti I, Settanni M. The interplay between neuroticism, extraversion, and social media addiction in young adult Facebook users: testing the mediating role of online activity using objective data. Addict Behav. 2020;102:106150. source
- Study design and conductnone given
The sample is not representative due to narrow age distribution and educational level.
“Further, the sample is due to the narrow age distribution and educational level not representative.”
Quote in the paperNot a substantial claim - Study design and conductown data
Female students contributed disproportionately.
“Female students contributed disproportionately here.”
Quote in the paperNot a substantial claim - Premisecitation
Yaakobi and Goldenberg identified a positive correlation between an anxious attachment style and the amount of time spent on social media.
“Specifically, Yaakobi and Goldenberg [43] identified a positive correlation between an anxious attachment style and the amount of time spent on social media.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yaakobi and Goldenberg [43] Yaakobi E, Goldenberg J. Social relationships and information dissemination in virtual social network systems: an attachment theory perspective. Comput Hum Behav. 2014;38:127–35. source
- Interpretationown data
The degree of openness (for attachment) may play a crucial role in determining the severity of problematic user behavior.
“The findings presented in this study indicate that the degree of openness (for attachment) may play a crucial role in determining the severity of problematic user behavior.”
Quote in the paperSubstantial claim - Premisecitation
Hart et al. demonstrated a link between dysfunctional attachment qualities and problematic social media use.
“For instance, Hart et al. [37] demonstrated a link between dysfunctional attachment qualities and problematic social media use.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hart et al. [37] Hart J, Nailling E, Bizer GY, Collins CK. Attachment theory as a framework for explaining engagement with Facebook. Pers Indiv Differ. 2015;77:33–40. source
- Premisecitation
Baek et al. identified a correlation between attachment behavior (specifically internalization problems) and smartphone usage.
“For instance, Baek et al. [65] identified a correlation between attachment behavior (specifically internalization problems) and smartphone usage.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Baek et al. [65] Baek HW, Shin YM, Shin KM. Emotional and behavioral problems related to smartphone overuse in elementary school children. J Korean Neuropsychiatr Assoc. 2014;53:320. source
- Interpretationown data
The more receptive a user is to attachment, the less likely they are to exhibit addictive behaviors.
“Specifically, the more receptive a user is to attachment, the less likely they are to exhibit addictive behaviors.”
Quote in the paperSubstantial claim - Interpretationreasoning
Individuals with an ambivalent-closed attachment style might turn to online platforms, especially social media, to mitigate their interpersonal relationship deficits.
“Individuals with an ambivalent-closed attachment style might turn to online platforms, especially social media, to mitigate their interpersonal relationship deficits (ibid.).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites ibid.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
This study reveals that an avoidant closed attachment style, characterized by a pronounced need for attention, acceptance issues, and notably low openness for attachment, is frequently associated with social media addiction.
“It reveals that an avoidant closed attachment style, characterized by a pronounced need for attention, acceptance issues, and notably low openness for attachment, is frequently associated with this addiction.”
Quote in the paperSubstantial claim
- May combine two claims. 32
- Classified as probably not a substantial claim. 41
- The quote only partly states this claim. 1
May combine two claims.
PremisecitationInsecure attachment style is correlated with problematic smartphone usage and problematic internet usage.
“Supporting this, Eichenberg et al. [34] showed that insecure attachment style is correlated with problematic smartphone usage and problematic internet usage [36].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Eichenberg et al. [34] Eichenberg C, Schott M, Schroiff A. Comparison of students with and without problematic smartphone use in light of attachment style. Front Psychiatry. 2019;10:681. source
- cites [36] Eichenberg C, Schott M, Decker O, Sindelar B. Attachment style and internet addiction: an online survey. J Med Internet Res. 2017;19:e170. source
The Results section reports that insecurely attached participants had significantly greater Internet addiction tendencies than securely attached participants. The paper does not report an association between attachment style and problematic smartphone use; its measures concern Internet use and Web-based services. (LLM, conf=0.90)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe BSMAS has repeatedly been reported with high internal consistency.
“The scale was repeatedly reported with high internal consistency, e.g., α = 0.97 [46] and α = 0.82 (at baseline) plus α = 0.86 (at follow-up) [10].”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [46] Monacis L, Palo VD, Griffiths MD, Sinatra M. Validation of the internet gaming disorder scale– short-form (IGDS9-SF) in an italian-speaking sample. J Behav Addictions. 2016;5:683–90. source
The Methods > Measures section (page unavailable) reports very good internal consistency for the Bergen Social Networking Addiction Scale (BSNAS), with Cronbach’s α = .88; a Results table labels the scale BSMAS. The paper does not report α = .97 or baseline and follow-up values of .82 and .86, so it supports the general reliability point but not the cited figures or repeated measurements. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [10] Chen I-H, Strong C, Lin Y-C, Tsai M-C, Leung H, Lin C-Y, et al. Time invariance of three ultra-brief internet-related instruments: Smartphone Application-based addiction scale (SABAS), Bergen Social Media Addiction Scale (BSMAS), and the nine-item internet gaming disorder scale- short form (IGDS-SF9) (Study Part B). Addict Behav. 2020;101:105960. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationKuss and Griffiths relate extraversion more to older individuals and openness more to younger ones.
“The contrasting findings presented by Kuss and Griffiths [29] relate extraversion more to older individuals and openness more to younger ones.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Kuss and Griffiths [29] Kuss DJ, Griffiths MD. Online social networking and addiction—a review of the psychological literature. IJERPH. 2011;8:3528–52. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe BSI-18 has a three-factor structure.
“Confirmatory analyses confirm the three-factor structure [48].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [48] Franke GH, Jaeger S, Glaesmer H, Barkmann C, Petrowski K, Braehler E. Psychometric analysis of the brief symptom inventory 18 (BSI-18) in a representative German sample. BMC Med Res Methodol. 2017;17:14. source
The Abstract Results say confirmatory factor analysis supported the BSI-18’s three scales. However, they also say model fit was good by RMSEA but too low by CFI and TLI; the Results’ Factorial validity section reports those low values. Saying the analyses unqualifiedly ‘confirm’ the structure overstates the mixed fit evidence. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationThe prevalence rate of 22.8% lies within the literature reported prevalence of the BSMAS (<10-40%).
“Prevalence rate of social media addiction (22.8%) lies within the literature reported prevalence of the used instrument (BSMAS), since Chen et al. [10] specify < 10–40% for the BSMAS.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Chen et al. [10] Chen I-H, Strong C, Lin Y-C, Tsai M-C, Leung H, Lin C-Y, et al. Time invariance of three ultra-brief internet-related instruments: Smartphone Application-based addiction scale (SABAS), Bergen Social Media Addiction Scale (BSMAS), and the nine-item internet gaming disorder scale- short form (IGDS-SF9) (Study Part B). Addict Behav. 2020;101:105960. source
The results (p. 15) report BSMAS-based rates of 10.2% in Hong Kong participants and 21.7% in Taiwanese participants. The paper does not specify the attributed literature range of <10–40%, and 22.8% is above both rates it reports. (LLM, conf=0.83)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe BSMAS has a single-factor structure and invariance across three months among young adults.
“Chen et al. [10] confirm the single-factor structure of the scale, report only medium correlations with scales close to the construct (SABAS/smartphone addiction, IGDS-SF9/internet gaming disorder, r =.06 and 0.42), and showed invariance across three months among young adults.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Chen et al. [10] Chen I-H, Strong C, Lin Y-C, Tsai M-C, Leung H, Lin C-Y, et al. Time invariance of three ultra-brief internet-related instruments: Smartphone Application-based addiction scale (SABAS), Bergen Social Media Addiction Scale (BSMAS), and the nine-item internet gaming disorder scale- short form (IGDS-SF9) (Study Part B). Addict Behav. 2020;101:105960. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOther studies have shown a positive correlation between internet addiction and general anxiety levels in students.
“Other studies have shown a positive correlation between internet addiction and general anxiety levels in students [59, 60].”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [59] Azher M, Khan RB, Salim M, Bilal M, Hussain A, Haseeb M, et al. The relationship between internet addiction and anxiety among students of University of Sargodha. Int J Humanit Social Sci. 2014;4:288–93. source
The Introduction and Conclusions discuss the portrayal of war in cinema, not a relationship between internet addiction and anxiety in students. Searches for “internet addiction general anxiety levels students positive correlation” and “student anxiety internet addiction correlation” found no passage addressing the claim; page numbers were not available in our copy. (LLM, conf=0.78)
Experimental — accuracy not yet measured - cites [60] Younes F, Halawi G, Jabbour H, El Osta N, Karam L, Hajj A, et al. Internet addiction and relationships with insomnia, anxiety, depression, stress and self-esteem in University students: a cross-sectional designed study. PLoS ONE. 2016;11:e0161126. source
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationcitationIt is plausible that the social-compensatory component is particularly influential in this context when it comes to social media.
“It’s plausible that the social-compensatory component is particularly influential in this context when it comes to social media [34].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [34] Eichenberg C, Schott M, Schroiff A. Comparison of students with and without problematic smartphone use in light of attachment style. Front Psychiatry. 2019;10:681. source
The Discussion proposes that social compensation plays a significant role in excessive smartphone use. The Introduction links smartphones’ social-network functions to their addictive potential, but the paper does not specifically assess whether social compensation is particularly influential for social media use. (LLM, conf=0.84)
Experimental — accuracy not yet measured
The quote only partly states this claim.
Findingown dataOf the total sample of 571 college students, 22.7% (131) were classified as addicted to social media.
“Of the total sample, 22.7% of students were identified as addicted to social media.”
- Also stated in: § Social media addiction · hedged
“A total of 131 people (22.7% of the total sample) could be classified as addicted to social media.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Social media addiction is a meaningful construct that can be measured by the BSMAS despite not being officially recognized in diagnostic classification systems.
- Also stated in: § Social media addiction · hedged
May combine two claims.
Findingown dataA secure attachment cluster was primarily linked with fewer occurrences of social media addiction and a lower incidence of mental health problems.
“(1) secure attachment, primarily linked with fewer occurrences of social media addiction and a lower incidence of mental health problems;”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAn ambivalent closed attachment cluster was generally associated with a higher rate of social media addiction and increased levels of mental health problems.
“(2) ambivalent closed attachment, generally associated with a higher rate of social media addiction and increased levels of mental health problems;”
Quote in the paperSubstantial claim- The authors state this as an assumption: Social media addiction is a meaningful construct that can be measured by the BSMAS despite not being officially recognized in diagnostic classification systems.
May combine two claims.
Findingown dataAn ambivalent clingy attachment cluster manifested a medium prevalence of social media addiction and a relatively equitable mental health profile.
“(3) ambivalent clingy attachment, manifesting a medium prevalence of social media addiction and a relatively equitable mental health profile.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe ambivalent closed attachment cluster is typically marked by a higher frequency of social media addiction and elevated levels of mental health problems.
“(b) ambivalent closed attachment, typically marked by a higher frequency of social media addiction and elevated levels of mental health problems;”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Findingown dataThe ratio for the change from 2 to 3 clusters is 0.512.
“Even if the ratio for the change from 2 to 3 clusters is 0.512, the ratio of distance measures that indicates how distinct the clusters are from each other is for the 3-cluster solution still 1.780, which suggests that the 3-cluster solution is equally well-defined compared to the 2-cluster solution.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe distribution of age and gender was relatively even.
“The distribution of age (Table 4) and gender (Table 5) was relatively even.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenSMA differ from NSMA in their usage of social media, exhibiting higher values in usage frequency, time spent, and perceived importance.
“SMA differ from NSMA in their usage of social media, exhibiting higher values in usage frequency, time spent, and perceived importance.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSMA scored significantly higher on all three levels-depressiveness, anxiety, and somatization-than NSMA.
“Further, SMA scored significantly higher on all three levels—depressiveness, anxiety, and somatization—than the group of NSMA, i.e., social media addicted users are comparatively more mentally stressed.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenThe ambivalent clingy attachment cluster presents a moderate incidence of social media addiction and a relatively balanced mental health profile.
“(c) ambivalent clingy attachment, presenting a moderate incidence of social media addiction and a relatively balanced mental health profile.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTwo-step cluster analysis revealed three predominant clusters, chiefly characterized by three attachment styles and varying levels of social media addiction.
“Two-step cluster analysis yielded a holistic insight into the collective grouping of cases by these variables. It corroborated the findings of the univariate analyses, revealing three predominant clusters, chiefly characterized by three attachment styles and varying levels of social media addiction:”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe secure attachment cluster is predominantly associated with fewer instances of social media addiction and lower prevalence of mental health problems.
“(a) secure attachment, predominantly associated with fewer instances of social media addiction and lower prevalence of mental health problems;”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSMA report higher levels of comparison with others, dissatisfaction with their own body (especially when exposed to idealized online images), and negative self-esteem when interacting with influencers.
“They also report higher levels of “comparison with others”, “dissatisfaction with their own body (especially when exposed to idealized online images)”, and “negative self-esteem when interacting with influencers”.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenSMA use social media for a broader range of purposes compared to NSMA.
“Moreover, SMA use social media for a broader range of purposes compared to NSMA.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe secure attachment (SA) cluster (N=140) is characterized by individuals who are slightly extroverted, less neurotic, and show lower levels of depression, anxiety, and somatization.
“The Cluster secure attachment (SA) (N = 140) is characterized by individuals who are slightly extroverted, less neurotic, and show lower levels of depression, anxiety, and somatization.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe ambivalent closed attachment (AVA) cluster (N=231) is slightly introverted, more neurotic, and exhibits higher levels of depression and anxiety.
“The Cluster ambivalent closed attachment (AVA) (N = 231) is slightly introverted, more neurotic, and exhibits higher levels of depression and anxiety.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataCluster analysis did not reveal any conspicuous distribution for gender.
“Cluster analysis did not reveal any conspicuous distribution for gender either.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataResults here confirm the positive correlation, adding to this research corpus also heightened somatic symptomatology in social media addicted students.
“Results here confirm the positive correlation adding to this research corpus also heightened somatic symptomatology in social media addicted students.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCluster analysis identified three clusters with varying susceptibilities to social media addiction: secure attachment lowest likelihood, ambivalent clingy medium, ambivalent closed highest.
“Cluster analysis supports this interpretation. It identified three clusters with varying susceptibilities to social media addiction: those with secure attachment exhibit the lowest likelihood, those with ambivalent clingy attachment have a medium likelihood, and those with ambivalent closed attachment display the highest likelihood.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataStudents in this sample are generally more mentally stressed, with students addicted to social media being particularly mentally stressed.
“It can therefore be assumed that students in this sample are generally more mentally stressed, with students who are addicted to social media being particularly mentally stressed.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMüller suggests that Internet addiction correlates with increased neuroticism scores.
“Moreover, a study by Müller [55] suggests that Internet addiction correlates with increased neuroticism scores.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Müller [55] Müller K. Wer ist gefährdet? Risikofaktoren für Internetsucht. Spielwiese internet. Berlin, Heidelberg: Springer Berlin Heidelberg; 2013. pp. 67–84. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBlackwell et al. demonstrated that neuroticism predicts social media use.
“Blackwell et al. [27] demonstrated that neuroticism predicts social media use.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Blackwell et al. [27] Blackwell D, Leaman C, Tramposch R, Osborne C, Liss M. Extraversion, neuroticism, attachment style and fear of missing out as predictors of social media use and addiction. Pers Indiv Differ. 2017;116:69–72. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe BFPE has good internal consistencies for its scales fear of rejection, readiness for self-disclosure, and conscious need for care.
“Höger and Buschkämper [53] report good internal consistencies of the scales fear of rejection (Cronbach’s α = 0.88), readiness for self-disclosure (Cronbach’s α = 0.89), and conscious need for care (Cronbach’s α = 0.77).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Höger and Buschkämper [53] Höger D, Buschkämper S. Der Bielefelder Fragebogen zu Partnerschaftserwartungen. Z für Differentielle und Diagnostische Psychologie. 2002;23:83–98. source
Classified as probably not a substantial claim.
Study design and conductown dataThe Bayesian Information Criterion (BIC) was employed as a model selection criterion to identify the optimal number of clusters.
“For the validation of the derived clustering solution, the Bayesian Information Criterion (BIC) was employed as a model selection criterion to identify the optimal number of clusters.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMarengo et al. did not observe a relationship between social media addiction and extraversion.
“Marengo et al. [28] align with our findings by not observing a relationship between social media addiction and extraversion.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Marengo et al. [28] Marengo D, Poletti I, Settanni M. The interplay between neuroticism, extraversion, and social media addiction in young adult Facebook users: testing the mediating role of online activity using objective data. Addict Behav. 2020;102:106150. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationKırcaburun identified a significant positive relationship between depressive symptoms, internet use, and social media addiction.
“Kırcaburun [57] also identified a significant positive relationship between depressive symptoms, internet use, and social media addiction.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kırcaburun [57]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataThe authors opt for the 3-cluster solution because BIC drops more slowly beyond this point, suggesting diminishing returns in model fit and sufficient granular segmentation.
“Given this information, we opt for the 3-cluster solution, since the BIC drops more slowly beyond this point, suggesting diminishing returns in terms of model fit as more clusters are added and the 3-cluster solution offers a sufficient granular segmentation.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe survey received approval from the Ethics Commission of the Faculty of Psychotherapy Science and the Faculty of Psychology of the Sigmund Freud University PrivatVienna.
“The survey received approval from the Ethics Commission of the Faculty of Psychotherapy Science and the Faculty of Psychology of the Sigμund Freud University PrivatVienna.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe BFI-10 has sufficient construct validity and factorial validity.
“Rammstedt et al. [51] report sufficient construct validity correlating the BFI-10 with the NEO-PI-R and factorial validity by conducting principal component analyses on a representative sample.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Rammstedt et al. [51] Rammstedt B, Kemper CJ, Klein MC, Beierlein C, Kovaleva A. Eine Kurze Skala Zur Messung Der fünf Dimensionen Der Persönlichkeit: big-five-Inventory-10 (BFI-10). Mannheim: GESIS - Leibniz-Institut für Sozialwissenschaften; 2012. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe BFI-10 has moderate test-retest reliability after 6 weeks in a student sample.
“Rammstedt und John [50] report moderate test–retest reliability after 6 weeks in a student sample (agreeableness: rtt = 0.58, neuroticism: rtt = 0.74, conscientiousness: rtt = 0.77, openness to experience: rtt = 0.72, extraversion: rtt = 0.84).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Rammstedt und John [50]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe survey did not deploy open-ended questions concerning usage duration because of evidence that users often overestimate their screen time.
“In light of evidence suggesting a discrepancy between objective and self-reported usage time—where users often overestimate their screen time [45]—the survey did not deploy open-ended questions concerning usage duration.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [45] Deng T, Kanthawala S, Meng J, Peng W, Kononova A, Hao Q, et al. Measuring smartphone usage and task switching with log tracking and self-reports. Mob Media Communication. 2019;7:3–23. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe number of clusters was determined based on the Schwarz Bayesian Criterion (BIC), and the selected model was validated by examining the silhouette measure of cohesion and separation.
“The number of clusters was determined based on the Schwarz Bayesian Criterion (BIC), and the selected model was further validated by examining the silhouette measure of cohesion and separation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe non-binary gender category was omitted from analyses due to very small case number to maintain robustness.
“To maintain robustness of analyses, the non-binary gender category was omitted due to very small case number.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationGiven the primary focus on younger participants, the results are consistent with these observations.
“Given our primary focus on younger participants, our results are consistent with these observations.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn Kırcaburun's study, the level of depression in adolescents was indirectly influenced by social media addiction; addicts spent more time online, amplifying the risk of depressive symptoms.
“In his study, the level of depression in adolescents was indirectly influenced by social media addiction; addicts spent more time online, amplifying the risk of depressive symptoms.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kırcaburun [57]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIndividuals with elevated neuroticism scores associate Internet topics with significantly stronger positive arousal compared to a healthy control group.
“Interestingly, individuals with elevated neuroticism scores associate Internet topics with significantly stronger positive arousal compared to a healthy control group [56].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [56] Wölfling K, Beutel M, Dreier M, Müller K. Risikofaktoren Von Verhaltenssucht: Explizite Persönlichkeitsfaktoren Und Implizite Assoziationsstärken Bei Pathologischem Glücksspiel Und Internetsucht. Suchttherapie. 2015;16:s–0035. source
May combine two claims.
Interpretationown dataSMA tend to be more emotionally unstable and easily irritable.
“SMA scored significantly higher on the neuroticism dimension than NSMA, suggesting that they tend to be more emotionally unstable and easily irritable.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationThe ambivalent clinging and closed attachment styles differ primarily in their perceived willingness to open up.
“The ambivalent clinging and closed attachment styles differ primarily in their perceived willingness to open up.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [53] Höger D, Buschkämper S. Der Bielefelder Fragebogen zu Partnerschaftserwartungen. Z für Differentielle und Diagnostische Psychologie. 2002;23:83–98. source
May combine two claims.
PremisecitationNumerous studies have established a connection between an anxious attachment style and both heavy social media use and addiction to it.
“Numerous studies have established a connection between an anxious attachment style and both heavy social media use [39–41] and addiction to it [42].”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [39] Jenkins-Guarnieri MA, Wright SL, Hudiburgh LM. The relationships among attachment style, personality traits, interpersonal competency, and Facebook use. J Appl Dev Psychol. 2012;33:294–301. source
- cites [40] Liu H, Shi J, Liu Y, Sheng Z. The moderating role of attachment anxiety on social network site use intensity and social capital. Psychol Rep. 2013;112:252–65. source
- cites [41] Oldmeadow JA, Quinn S, Kowert R. Attachment style, social skills, and Facebook use amongst adults. Comput Hum Behav. 2013;29:1142–9. source
- cites [42] Eroglu Y. Interrelationship between attachment styles and Facebook addiction. J Educ Train Stud. 2016;4:150–60.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBaltaci highlighted social anxiety as a predictor for social media addiction among university students.
“Baltaci [23] highlighted social anxiety as a predictor for social media addiction among university students.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Baltaci [23]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThis gender bias has been frequently observed in online surveys.
“Though, this gender bias has been frequently observed in online surveys [71].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [71] Jackob N, Schoen H, Zerback T, editors. Sozialforschung Im Internet. Wiesbaden: VS Verlag für Sozialwissenschaften; 2009. source
Classified as probably not a substantial claim.
PremisecitationThe ambivalent closed style exhibits a notably low willingness to open up.
“The former demonstrates a moderate willingness, allowing for the expression of strong attachment needs associated with the hyperactivated attachment system, while the latter exhibits a notably low willingness to open [53].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [53] Höger D, Buschkämper S. Der Bielefelder Fragebogen zu Partnerschaftserwartungen. Z für Differentielle und Diagnostische Psychologie. 2002;23:83–98. source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningPossible self-selection processes could be of importance since online surveys are prone to an inherent selection bias.
“So, possible self-selection processes could be of importance since online surveys are prone to an inherent selection bias.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.
InterpretationreasoningThis dynamic could exacerbate their acceptance issues, perpetuating a detrimental cycle.
“This dynamic could exacerbate their acceptance issues, perpetuating a detrimental cycle.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere is evidence that women are more prone to social media addiction.
“Which in turn can affect the prevalence of social media addiction since there is evidence that women are more prone to social media addiction [8].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [8] Bischof G, Bischof A, Meyer C, John U, Rumpf HJ. Prävalenz Der Internetabhängigkeit– Diagnostik und Risikoprofile (PINTA-DIARI). Kompaktbericht an das Bundesministerium für Gesundheit (Prevalence of Internet Addiction - Diagnostics and Risk profiles (PINTA-DIARI). Compact report to the Federal Ministry of Health). Lübeck; 2013.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationWu et al. found that internet addiction correlates with depression in adolescents, exerting direct, mediated, and moderating effects on depression levels.
“Similarly, Wu et al. [58] found that internet addiction correlates with depression in adolescents, exerting direct, mediated, and moderating effects on depression levels.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wu et al. [58] Wu AMS, Li J, Lau JTF, Mo PKH, Lau MMC. Potential impact of internet addiction and protective psychosocial factors onto depression among Hong Kong Chinese adolescents– direct, mediation and moderation effects. Compr Psychiatr. 2016;70:41–52. source
May combine two claims.
InterpretationcitationThe anonymity afforded by the internet allows a new representation of the self to be created, helping this group to compensate for feared problems of acceptance.
“The anonymity afforded by the internet allows a new representation of the self to be created, helping this group to compensate for feared problems of acceptance (ibid.).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites ibid.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationSecure attachment and high self-esteem can act as protective factors against social media addiction.
“Conversely, secure attachment and high self-esteem can act as protective factors against such addiction [38].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] Demircioğlu ZI, Köse AG. Mediating effects of self-esteem in the relationship between attachment styles and social media addiction among university students. 2020.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA study involving Turkish students revealed that insecure attachment styles might serve as risk factors for social media addiction.
“A study involving Turkish students revealed that insecure attachment styles might serve as risk factors for social media addiction [38].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] Demircioğlu ZI, Köse AG. Mediating effects of self-esteem in the relationship between attachment styles and social media addiction among university students. 2020.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe data are based on self-reporting in an online survey.
“It should be noted that the data are based on self-reporting in an online survey.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationResponse rate is comparable with other online-survey studies.
“Response rate is comparable with other online-survey studies [70].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [70] Sax LJ, Gilmartin SK, Bryant AN. Assessing response rates and nonresponse bias in web and paper surveys. Res High Educt. 2003;44:409–32. source
Classified as probably not a substantial claim.
PremisecitationThe ambivalent clinging style demonstrates a moderate willingness to open up, allowing for expression of strong attachment needs associated with the hyperactivated attachment system.
“The former demonstrates a moderate willingness, allowing for the expression of strong attachment needs associated with the hyperactivated attachment system, while the latter exhibits a notably low willingness to open [53].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [53] Höger D, Buschkämper S. Der Bielefelder Fragebogen zu Partnerschaftserwartungen. Z für Differentielle und Diagnostische Psychologie. 2002;23:83–98. source
May combine two claims.
InterpretationcitationThis pattern suggests heightened anxiety and a secondary hyperactivating (ambivalent) strategy.
“This pattern suggests heightened anxiety and a secondary hyperactivating (ambivalent) strategy (ibid.).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites ibid.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationAccording to Höger and Buschkämper, individuals with an ambivalent attachment style exhibit an increased need for attention and concurrently face heightened acceptance issues.
“According to Höger and Buschkämper [53], individuals with an ambivalent attachment style exhibit an increased need for attention and concurrently face heightened acceptance issues.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Höger and Buschkämper [53] Höger D, Buschkämper S. Der Bielefelder Fragebogen zu Partnerschaftserwartungen. Z für Differentielle und Diagnostische Psychologie. 2002;23:83–98. source
May combine two claims.
PremisecitationOldmeadow et al. discovered a relationship between anxious attachment and seeking comfort on Facebook, noting an increase in Facebook usage, especially during negative emotional states.
“Oldmeadow et al. [41] also discovered a relationship between anxious attachment and seeking comfort on Facebook, noting an increase in Facebook usage, especially during negative emotional states.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Oldmeadow et al. [41] Oldmeadow JA, Quinn S, Kowert R. Attachment style, social skills, and Facebook use amongst adults. Comput Hum Behav. 2013;29:1142–9. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOther research has indicated a mediating effect of attachment style on smartphone addiction.
“Other research [66, 67] has indicated a mediating effect of attachment style on smartphone addiction.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [66] Kwan HC, Leung MT. The path model of parenting style, attachment style, self-regulation and smartphone addiction. Applied psychology. Concorde Hotel. Singapore: WORLD SCIENTIFIC; 2015. pp. 196–214. source
- cites [67] Yelpaze İ. The mediator role of self-control in the relationship between insecure attachment styles and problematic smartphone use in adolescents. Turkish Psychol Couns Guidance J. 2020;10:457–73.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenThis may inadvertently expose SMA users to the pitfalls of social media, such as body dissatisfaction and reduced self-esteem when interacting with influencers.
“However, this may inadvertently expose SMA users to the pitfalls of social media, such as body dissatisfaction and reduced self-esteem when interacting with influencers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe design of the study is cross-sectional.
“Further, it could be discussed that the design of the study is cross-sectional.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningBased on the data, it appears this new representation of the self is often facilitated through image-focused platforms like Instagram and Pinterest.
“Based on the data, it appears this new representation of the self is often facilitated through image-focused platforms like “Instagram” and “Pinterest”.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningSuch a deficit in openness may prompt compensatory behavior to satiate the intensive need for attention in the manageable environment of the digital world.
“Such a deficit in openness may prompt compensatory behavior to satiate the intensive need for attention in the manageable environment of the digital world, where any conversation can be terminated with a click.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningThis intense attention-seeking behavior seems to find satisfaction through image-centric services on social media, instigating negative comparative processes with others and potentially reinforcing acceptance issues in a self-perpetuating cycle, with mental stress being a substantial correlate.
“This intense attention-seeking behavior seems to find satisfaction through image-centric services on social media, instigating negative comparative processes with others and potentially reinforcing acceptance issues in a self-perpetuating cycle, with mental stress being a substantial correlate.”
Quote in the paperSubstantial claim
The paper relies on this without support.
A detailed examination specific to social media addiction of which attachment style is most relevant remains lacking.
“While research has identified an ambivalent closed insecure attachment style as being significant in the context of internet and smartphone addiction, a detailed examination specific to social media addiction remains lacking.”
The authors state this as an assumption.
Social media addiction is a meaningful construct that can be measured by the BSMAS despite not being officially recognized in diagnostic classification systems.
“Despite its growing prevalence, social media addiction is yet to be fully acknowledged in diagnostic classification systems. The term “addiction” is therefore only used in this context for the sake of simplicity, as it is not yet officially recognized.”
The paper relies on this without support.
Currently, no studies explore the relationship between an ambivalent closed attachment style and social media addiction.
“Currently, no studies explore the relationship between an ambivalent closed attachment style and social media addiction.”
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.
- Consistentχ²(1) = 9.28reported p = .002 · recomputed p = .002
“χ2(1) = 9.28, p = .002”
- Consistentχ²(4) = 30.75reported p < .001 · recomputed p < .001
“χ2(4) = 30.75, p < .001”
- Consistentt(570) = -9.23reported p < .001 · recomputed p < .001
“t(570)=-9.23, p < .001”
- Consistentt(570) = 23.15reported p < .001 · recomputed p < .001
“t(570) = 23.15, p < .001”
- Consistentz = -5.02reported p < .001 · recomputed p < .001
“Z = -5.02, p < .001”
- Consistentz = -0.25reported p = .801 · recomputed p = .803
“Z = − 0.25, p = .801”
- Consistentt(570) = 15.4reported p < .001 · recomputed p < .001
“t(570) = 15.40, p < .001”
- Consistentt(570) = 14.35reported p < .001 · recomputed p < .001
“t(570) = 14.35, p < .001”
- Consistentt(570) = 12.18reported p < .001 · recomputed p < .001
“t(570) = 12.18, p < .001”
- Consistentz = -10.47reported p < .001 · recomputed p < .001
“Z = -10.47, p < .001”
- Consistentz = -7.31reported p < .001 · recomputed p < .001
“Z = -7.31, p < .001”
- Consistentz = -5.64reported p < .001 · recomputed p < .001
“Z = -5.64, p < .001”
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.
Conclusion names the opposite attachment style
MajorThe conclusion identifies avoidant closed attachment as frequently associated with addiction, whereas the results say avoidant closed participants were disproportionately not addicted and ambivalent closed participants were disproportionately addicted.
“It reveals that an avoidant closed attachment style, characterized by a pronounced need for attention, acceptance issues, and notably low openness for attachment, is frequently associated with this addiction.”
“with avoidant closed (corrected residuals:3.2) having disproportionately more NSMA, ambivalent closed (corrected residuals: 4.8) having disproportionately more SMA”
Cites
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“The BFI-10 [50] contains 10 items, two for each of the five dimensions.”
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MethodA “components” model of addiction within a biopsychosocial framework
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“…Addiction assessment relies on questionnaires like the Bergen Social Media Addiction Scale (BSMAS [18]),, which is momentarily the most widely used tool and applies criteria such as salience, mood modification, tolerance, withdrawal, conflict, and relapse [19] to evaluate addictive behaviors [10].”
MethodA cognitive-behavioral model of pathological Internet use
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“The first means a multidimensional misuse of the internet using multiple internet functions, whereas the ladder aims a sole specific internet function (e.g., gaming, gambling, social media etc.) [13, 14].”
BackgroundAndreassen, C. S., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E., & Pallesen, S. (2016) · Psychology of Addictive Behaviors · doi:10.1037/adb0000160 · Cited by 2,095 · cited 2× · see citing works
“Currently, Social Media Addiction assessment relies on questionnaires like the Bergen Social Media Addiction Scale (BSMAS [18]),, which is momentarily the most widely used tool and applies criteria such as salience, mood modification, tolerance, withdrawal, conflict, and relapse [19] to evaluate…”
MethodOnline Social Networking and Addiction—A Review of the Psychological Literature
Kuss, D. J., & Griffiths, M. D. (2011) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph8093528 · Cited by 2,038 · cited 2× · see citing works
“The contrasting findings presented by Kuss and Griffiths [29] relate extraversion more to older individuals and openness more to younger ones.”
BackgroundAssessing Response Rates and Nonresponse Bias in Web and Paper Surveys
Sax, L. J., Gilmartin, S. K., & Bryant, A. N. (2003) · Research in Higher Education · doi:10.1023/a:1024232915870 · Cited by 1,294 · cited 1× · see citing works
“Response rate is comparable with other online-survey studies [70].”
ResultProblematic 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 · cited 4× · see citing works
“As suggested by a substantial Hungarian study involving 6000 adolescents [20], a cutoff score of 19 out of 30 was adopted.”
BackgroundMethodInfluentialBlackwell, D., Leaman, C., Tramposch, R., Osborne, C., & Liss, M. (2017) · Personality and Individual Differences · doi:10.1016/j.paid.2017.04.039 · Cited by 897 · cited 3× · see citing works
“Social media addiction has also been positively linked to neuroticism [27, 28], and individuals scoring high on this trait are drawn to social networks as they offer recognition and validation [27].”
BackgroundThe benefits and dangers of enjoyment with social networking websites
Turel, O., & Serenko, A. (2012) · European Journal of Information Systems · doi:10.1057/ejis.2012.1 · Cited by 684 · cited 1× · see citing works
“Social Media Addiction, encompassing variants like Facebook addiction and general addictive use of social networking sites (SNSs), is characterized as a maladaptive psychological dependency on SNSs, leading to behavioral addiction symptoms [15– 17].”
BackgroundCheng, C., Lau, Y.-C., Chan, L., & Luk, J. W. (2021) · Addictive Behaviors · doi:10.1016/j.addbeh.2021.106845 · Cited by 571 · cited 1× · see citing works
“Cheng et al. [21] suggest that estimates of social media addiction are often either under-or overestimated.”
BackgroundBrand, M., Young, K. S., & Laier, C. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00375 · Cited by 565 · see citing works
Online Social Networking and Mental Health
Pantic, I. V. (2014) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2014.0070 · Cited by 564 · cited 1× · see citing works
“Depression [20, 22] and social anxiety [23] are commonly co-occurring disorders, as are challenges related to self-esteem (ibid.).”
BackgroundYounes, F., Halawi, G., Jabbour, H., El Osta, N., Karam, L., Hajj, A., & Rabbaa Khabbaz, L. (2016) · PLOS ONE · doi:10.1371/journal.pone.0161126 · Cited by 475 · cited 1× · see citing works
“Other studies have shown a positive correlation between internet addiction and general anxiety levels in students [59, 60].”
BackgroundFear of missing out: prevalence, dynamics, and consequences of experiencing FOMO
Milyavskaya, M., Saffran, M., Hope, N., & Koestner, R. (2018) · Motivation and Emotion · doi:10.1007/s11031-018-9683-5 · Cited by 408 · cited 1× · see citing works
“The personality trait neuroticism, and the “fear of missing out” or FOMO [26], have been identified as predictors of Social Media Addiction [27].”
BackgroundThe Bowlby-Ainsworth attachment theory
Ainsworth, M. D. S. (1978) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00075828 · Cited by 370 · cited 1× · see citing works
“The attachment system, which comprises secure, insecure, and disorganized categories, is a biologically and evolutionarily rooted motivational and behavioral system that operates through attachment figures [32].”
BackgroundMontag, C., Bey, K., Sha, P., Li, M., Chen, Y., Liu, W., Zhu, Y., Li, C., Markett, S., Keiper, J., et al. (2015) · Asia-Pacific Psychiatry · doi:10.1111/appy.12122 · Cited by 349 · see citing works
The effect of Instagram “likes” on women’s social comparison and body dissatisfaction
Tiggemann, M., Hayden, S., Brown, Z. A., & Veldhuis, J. (2018) · Body Image · doi:10.1016/j.bodyim.2018.07.002 · Cited by 318 · cited 1× · see citing works
“The number of “likes” they receive on platforms becomes a proxy for their self-worth, heavily influencing their self-esteem [25].”
BackgroundPsychometric analysis of the brief symptom inventory 18 (BSI-18) in a representative German sample
Franke, G. H., Jaeger, S., Glaesmer, H., Barkmann, C., Petrowski, K., & Braehler, E. (2017) · BMC Medical Research Methodology · doi:10.1186/s12874-016-0283-3 · Cited by 294 · cited 2× · see citing works
“The BSI-18 assesses validly mental stress in both normal population [48] and clinical populations [49].”
BackgroundAttachment style, social skills, and Facebook use amongst adults
Oldmeadow, J. A., Quinn, S., & Kowert, R. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.10.006 · Cited by 284 · see citing works
Addiction to Social Media and Attachment Styles: A Systematic Literature Review
D’Arienzo, M. C., Boursier, V., & Griffiths, M. D. (2019) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-019-00082-5 · Cited by 283 · cited 1× · see citing works
“A systematic review has provided evidence linking insecure attachment styles with both internet addiction in general and social media addiction in particular [64].”
BackgroundGriffiths, M. D., Pontes, H. M., & Kuss, D. J. (2015) · Neuroscience and Neuroeconomics · doi:10.2147/nan.s60982 · Cited by 230 · cited 2× · see citing works
“Prior research conforms mainly to differentiate between generalized and specific internet addictions [10– 13].”
BackgroundChen, I.-H., Strong, C., Lin, Y.-C., Tsai, M.-C., Leung, H., Lin, C.-Y., Pakpour, A. H., & Griffiths, M. D. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2019.04.018 · Cited by 229 · see citing works
Spitzer, C., Hammer, S., Löwe, B., Grabe, H. J., Barnow, S., Rose, M., Wingenfeld, K., Freyberger, H., & Franke, G. H. (2011) · Fortschritte der Neurologie · Psychiatrie · doi:10.1055/s-0031-1281602 · Cited by 220 · see citing works
Measuring smartphone usage and task switching with log tracking and self-reports
Deng, T., Kanthawala, S., Meng, J., Peng, W., Kononova, A., Hao, Q., Zhang, Q., & David, P. (2019) · Mobile Media & Communication · doi:10.1177/2050157918761491 · Cited by 201 · cited 1× · see citing works
“In light of evidence suggesting a discrepancy between objective and self-reported usage time—where users often overestimate their screen time [45]—the survey did not deploy open-ended questions concerning usage duration.”
BackgroundMonacis, L., Palo, V. D., Griffiths, M. D., & Sinatra, M. (2016) · Journal of Behavioral Addictions · doi:10.1556/2006.5.2016.083 · Cited by 192 · cited 1× · see citing works
“The scale was repeatedly reported with high internal consistency, e.g., α = 0.97 [46] and α = 0.82 (at baseline) plus α = 0.86 (at follow-up) [10].”
BackgroundInfluentialAttachment theory as a framework for explaining engagement with Facebook
Hart, J., Nailling, E., Bizer, G. Y., & Collins, C. K. (2015) · Personality and Individual Differences · doi:10.1016/j.paid.2014.12.016 · Cited by 172 · cited 2× · see citing works
“For instance, Hart et al. [37] demonstrated a link between dysfunctional attachment qualities and problematic social media use.”
BackgroundFrom attachment to addiction: The mediating role of need satisfaction on social networking sites
Chen, A. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.03.034 · Cited by 169 · see citing works
Jenkins-Guarnieri, M. A., Wright, S. L., & Hudiburgh, L. M. (2012) · Journal of Applied Developmental Psychology · doi:10.1016/j.appdev.2012.08.001 · Cited by 164 · cited 1× · see citing works
“Numerous studies have established a connection between an anxious attachment style and both heavy social media use [39–41] and addiction to it [42].”
BackgroundExploring the mechanism of social media addiction: an empirical study from WeChat users
Cao, X., Gong, M., Yu, L., & Dai, B. (2020) · Internet Research · doi:10.1108/intr-08-2019-0347 · Cited by 158 · cited 1× · see citing works
“Social Media Addiction, encompassing variants like Facebook addiction and general addictive use of social networking sites (SNSs), is characterized as a maladaptive psychological dependency on SNSs, leading to behavioral addiction symptoms [15– 17].”
BackgroundDrivers of social media fatigue: A systematic review
Zheng, H., & Ling, R. (2021) · Telematics and Informatics · doi:10.1016/j.tele.2021.101696 · Cited by 137 · cited 1× · see citing works
“Issues such as social media fatigue manifest in negative emotional responses like burnout, exhaustion, and frustration during social network activities [4].”
BackgroundPsychologie der Persönlichkeit
Asendorpf, J. B., & Neyer, F. J. (2012) · Springer-Lehrbuch · doi:10.1007/978-3-642-30264-0 · Cited by 129 · see citing works
Der Einsatz des Brief Symptom Inventory 18 (BSI-18) bei Psychotherapiepatienten
Franke, G. H., Ankerhold, A., Haase, M., Jäger, S., Tögel, C., Ulrich, C., & Frommer, J. (2011) · PPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie · doi:10.1055/s-0030-1270518 · Cited by 120 · cited 2× · see citing works
“Franke et al. [49] report good internal consistencies of the scales fear of rejection (BSI-18 (α (somatization) = 0,79, α (depression) = 0,84, α (anxiety) = 0,84, α (GSI) = 0,91).”
BackgroundAhi Evran University, & Baltacı, Ö. (2019) · International Journal of Progressive Education · doi:10.29329/ijpe.2019.203.6 · Cited by 117 · see citing works
A review of recent research in problematic internet use: gender and cultural differences
Балоглу, М., Şahin, R., & Arpacı, İ. (2020) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2020.05.008 · Cited by 105 · cited 1× · see citing works
“The concern for social media addiction is heightened among females, who show a higher propensity towards this addiction [7, 8].”
BackgroundMarengo, D., Poletti, I., & Settanni, M. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2019.106150 · Cited by 103 · cited 3× · see citing works
“Social media addiction has also been positively linked to neuroticism [27, 28], and individuals scoring high on this trait are drawn to social networks as they offer recognition and validation [27].”
BackgroundAttachment Style and Internet Addiction: An Online Survey
Eichenberg, C., Schott, M., Decker, O., & Sindelar, B. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6694 · Cited by 80 · cited 3× · see citing works
“These results are consistent with previous data suggesting this style is prevalent for internet-related addictions, as observed in the context of both smartphone [34] and internet [36] addictions.”
BackgroundResultSelf-citationCerutti, R., Presaghi, F., Spensieri, V., Valastro, C., & Guidetti, V. (2016) · Headache: The Journal of Head and Face Pain · doi:10.1111/head.12840 · Cited by 79 · cited 2× · see citing works
“As for somatization, there’s a documented positive correlation with internet addiction in adolescents [61–63].”
BackgroundThe Moderating Role of Attachment Anxiety on Social Network Site Use Intensity and Social Capital
Liu, H., Shi, J., Liu, Y., & Sheng, Z. (2013) · Psychological Reports · doi:10.2466/21.02.17.pr0.112.1.252-265 · Cited by 61 · see citing works
Yaakobi, E., & Goldenberg, J. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.05.025 · Cited by 58 · cited 2× · see citing works
“Specifically, Yaakobi and Gold-enberg [43] identified a positive correlation between an anxious attachment style and the amount of time spent on social media.”
Background(2009) · doi:10.1007/978-3-531-91791-7 · Cited by 56 · see citing works
Prevalence and Risk Factors of Internet Addiction among Hungarian High School Students
Kapus, K., Nyulas, R., Nemeskéri, Z., Zádori, I., Muity, G., Kiss, J., Feher, A., Fejes, É., Tibold, A., & Fehér, G. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18136989 · Cited by 49 · cited 1× · see citing works
“Digital media addictions, with a particular emphasis on social media addictions, are increasingly prevalent in psychotherapy, especially among younger demographics [5, 6].”
BackgroundWu, A. M. S., Li, J., Lau, J. T. F., Mo, P. K. H., & Lau, M. M. C. (2016) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2016.06.011 · Cited by 47 · see citing works
Attachment Aware Schools: the impact of a targeted and collaborative intervention
Rose, J., McGuire-Snieckus, R., Gilbert, L., & McInnes, K. (2019) · Pastoral Care in Education · doi:10.1080/02643944.2019.1625429 · Cited by 31 · cited 1× · see citing works
“In addition, since research showed a good impact of whole school attachment-based interventions [72], prevention programs to combat digital addictions in schools and universities should also include content that promotes secure attachment behavior, especially to young people with a high need for…”
BackgroundComparison of students with and without problematic smartphone use in light of attachment style
Eichenberg, C., Schott, M., & Schroiff, A. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00681 · Cited by 31 · cited 6× · see citing works
“Supporting this, Eichenberg et al. [34] showed that insecure attachment style is correlated with problematic smartphone usage and problematic internet usage [36].”
BackgroundResultInfluentialSelf-citationEmotional and Behavioral Problems Related to Smartphone Overuse in Elementary School Children
Baek, H. W., Shin, Y. M., & Shin, K. M. (2014) · Journal of Korean Neuropsychiatric Association · doi:10.4306/jknpa.2014.53.5.320 · Cited by 30 · see citing works
Santoro, G., Midolo, L. R., Costanzo, A., & Schimmenti, A. (2021) · Bulletin of the Menninger Clinic · doi:10.1521/bumc.2021.85.4.358 · Cited by 30 · cited 1× · see citing works
“Moreover, given that a mediating effect of mentalization between attachment style and both emotion dysregulation [68] and psycho-pathology [69] has been demonstrated, future research should delve deeper into exploring the relationships between mentalization, attachment style, and internet-related…”
BackgroundParada‐Fernández, P., Herrero‐Fernández, D., Macías, M. O., & Rohwer, H. (2021) · Scandinavian Journal of Psychology · doi:10.1111/sjop.12717 · Cited by 27 · cited 1× · see citing works
“Moreover, given that a mediating effect of mentalization between attachment style and both emotion dysregulation [68] and psycho-pathology [69] has been demonstrated, future research should delve deeper into exploring the relationships between mentalization, attachment style, and internet-related…”
BackgroundGöncü‐Köse, A. (2020) · Dusunen Adam The Journal of Psychiatry and Neurological Sciences · doi:10.14744/dajpns.2019.00056 · Cited by 26 · cited 2× · see citing works
“Conversely, secure attachment and high self-esteem can act as protective factors against such addiction [38].”
BackgroundSubstance Abuse and Insecure Attachment Styles: A Relational Study
Borhani, Y. (2013) · LUX · doi:10.5642/lux.201301.04 · Cited by 22 · cited 1× · see citing works
“Extensive research has been conducted on the association between insecure attachment and substance addic-tions [30, 31].”
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“As for somatization, there’s a documented positive correlation with internet addiction in adolescents [61–63].”
BackgroundDer Bielefelder Fragebogen zu Partnerschaftserwartungen
Höger, D., & Buschkämper, S. (2002) · Zeitschrift für Differentielle und Diagnostische Psychologie · doi:10.1024//0170-1789.23.1.83 · Cited by 19 · see citing works
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Pathologischer PC-/Internetgebrauch
Schuhler, P., Vogelgesang, M., & Petry, J. (2009) · Psychotherapeut · doi:10.1007/s00278-009-0664-8 · Cited by 14 · see citing works
The path model of parenting style, attachment style, self-regulation and Smartphone addiction
Kwan, H. C., & Leung, M. T. (2015) · Applied Psychology · doi:10.1142/9789814723398_0011 · Cited by 10 · cited 1× · see citing works
“Other research [66, 67] has indicated a mediating effect of attachment style on smartphone addiction.”
BackgroundSelwyn, R. (2017) · Children and Young People Now · doi:10.12968/cypn.2017.11.43 · Cited by 10 · see citing works
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Militainment in British Cinema: Analysis Based on Selected Film Productions
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Wer ist gefährdet? Risikofaktoren für Internetsucht
Müller, K. (2013) · Spielwiese Internet · doi:10.1007/978-3-642-38002-0_4 · Cited by 1 · cited 1× · see citing works
“Moreover, a study by Müller [55] suggests that Internet addiction correlates with increased neuroticism scores.”
BackgroundWölfling, K., Beutel, M., Dreier, M., & Müller, K. (2015) · Suchttherapie · doi:10.1055/s-0035-1557628 · Cited by 1 · see citing works
Flagged first, then by citations
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Cited by
Sorted by citations
Social media addiction, personality traits, and disorders: an overview of recent literature
Ahmed, E., & Ahmed, S. A. (2024) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000969 · Cited by 11 · see citing works
“%) found an insignificant correlation with problematic social media use [11,12 & ,13 & ,14 – 17,29], others found a positive [18 , related to social media associated with social media addiction, it could lead to addictive use under certain conditions and within specific individuals.”
Social media addiction and personality dimensions among Tunisian medical students
Guermazi, F., Abid, W., Baati, I., Cherif, F., Mziou, E., Mnif, D., Féki, I., Masmoudi, R., & Masmoudi, J. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1471425 · Cited by 7 · see citing works
Social media addiction and borderline personality disorder: a survey study
Collins, M., & Grant, J. E. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1459827 · Cited by 8 · see citing works
Huang, J., Ge, Z., Chu, Y., Yan, Y., Zhang, W., Liang, H., Yang, Y., & Wang, H. (2025) · JMIR Aging · doi:10.2196/71712 · Cited by 6 · see citing works
“In a study conducted by Eichenberg et al [28], approximately 20% of students were identified as being addicted to social media.”
Arbués, E. R., Echániz-Serrano, E., Granada-López, J. M., Satústegui-Dordá, P. J., Fernández‐Rodrigo, M. T., & Sagarra‐Romero, L. (2025) · Scientific Reports · doi:10.1038/s41598-025-28829-2 · Cited by 8 · see citing works
Effects of environmentally-induced anxiety on autoimmunity in the MRL/lpr mouse
Zhang, F., Zhang, Q., Dang, R., Tian, X., Li, L.-J., Zhou, Q.-M., Li, X., Wu, Y., & Zou, H. (2025) · Lupus Science & Medicine · doi:10.1136/lupus-2025-001528 · Cited by 6 · see citing works
“Consequently, this limitation may constrain the generalisability of the study’s conclusions to the broader population.”
Siddharthan, A., Aljin, V., Hariharan, S., & Eashwar, V. A. (2024) · National Journal of Community Medicine · doi:10.55489/njcm.150920244224 · Cited by 5 · see citing works
“15 The current research suggests a significant correlation between using social media as the first activity in the morning and social media addiction.”
BackgroundZhao, X., Xu, T., & Liu, X. M. (2025) · Scientific Reports · doi:10.1038/s41598-025-33176-3 · Cited by 4 · see citing works
“This scale was adapted from Eichenberg, Schneider 61 , and its original version was developed by Andreassen, Billieux 62 .”
Cai, F., Wang, Y., & Jin, S. (2026) · Scientific Reports · doi:10.1038/s41598-026-35779-w · Cited by 10 · see citing works
“SMA is the harmful dependence on social media platforms, leading to a range of addictive behaviors 19 .”
Place attachment(s) and addiction to virtual places: A longitudinal analysis
Lassota, I., Oleksy, T., Gambin, M., & Wnuk, A. (2025) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2025.102726 · Cited by 3 · see citing works
Xu, L., Arshat, Z., Ismail, N. B., et al. (2026) · Asian Journal of Social Health and Behavior · doi:10.4103/shb.shb_213_25 · Cited by 3 · see citing works
Ruzzante, F., Gugushvili, N., & Verduyn, P. (2026) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-026-01641-3 · Cited by 3 · see citing works
Cohen, A. G., & Özsoy, E. (2025) · Psychological Reports · doi:10.1177/00332941251329829 · Cited by 3 · see citing works
Web Analytics to Objectively Measure the Success of Educational Resources in Human Anatomy
Alberola‐Zorrilla, P., Zaragozá, R., Gimeno, A., & Zuriaga, D. S. (2025) · Medical Science Educator · doi:10.1007/s40670-025-02304-z · Cited by 2 · see citing works
Jasper, L., Bischoff, H., & Eichenberg, C. (2026) · BMC Psychiatry · doi:10.1186/s12888-026-07776-w · Cited by 4 · see citing works
“The observed usage behaviors, such as the high frequency of WhatsApp and Instagram use and the significant daily online time [13], highlight the pervasive role of digital media in the participants’ lives.”
Self-citationFrom attachment anxiety to short video addiction: the roles of attentional control and alexithymia
Su, H., Luo, D., Wang, H., Xiaodong, L., & He, Y. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1764536 · Cited by 2 · see citing works
“…theory, early interactions with primary caregivers are internalized as internal working models of the self and others, which are associated with long-term patterns of emotion regulation, cognitive control, and coping strategies across the lifespan (Eichenberg et al., 2024; Huang et al., 2025).”
Méndez, M. D. C. L., Wegmann, E., Müller, S. M., Padrón, I., Marrero, R. J., & Brand, M. (2026) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-026-01695-3 · Cited by 2 · see citing works
When Interaction Becomes Addiction: The Psychological Consequences of Instagram Dependency
Herrero-Báguena, B., Blas, S. S., & Buzova, D. (2025) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer20030195 · Cited by 5 · see citing works
Yuniar, A. D., Danu, R. T., Roziqin, A., & Syahri, M. (2024) · Atlantic Journal of Communication · doi:10.1080/15456870.2024.2433531 · Cited by 2 · see citing works
“The 24/7 nonstop internet connection, constant stream of content notifications, and the overwhelming flow of information, often described as an information tsunami, are significant contributors to Problematic Social Media Use (PSMU) (Eichenberg et al., 2024).”
Subedi, P., C., S. B. G., Gurung, S. K., Poudel, R. L., Sharma, S., & Dhungana, B. R. (2025) · International Journal of Adolescence and Youth · doi:10.1080/02673843.2025.2470189 · Cited by 1 · see citing works
“…are protective against social media addiction (Nikbin et al., 2020; Tekin & Turhan, 2020; Wang et al., 2015), while extraversion yields mixed results, with some studies finding no link (Eichenberg et al., 2024), and others showing a positive association (Biolcati et al., 2018; Hwang, 2017).”
Age-Related Differences in Digital Addiction: A Systematic Review
Papp, O. (2024) · Erdélyi Társadalom · doi:10.17177/77171.299 · Cited by 1 · see citing works
Rayan, H., Gross, Z., & Efrati, Y. (2025) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2025.107588 · Cited by 1 · see citing works
Ren, S. (2025) · Behavioral Sciences · doi:10.3390/bs15101307 · Cited by 1 · see citing works
“In line with recent studies, these students were generally able to assert their needs, maintain appropriate boundaries, and cultivate mutually supportive relationships—hallmarks of healthy social functioning (Eichenberg et al., 2024).”
Er, F., Sağındık, S., özden, G., Pürçek, C., AYDIN, Ö. G., & Akel, S. (2025) · Sosyal sağlık dergisi. · doi:10.69514/sosyalsaglik.1731067 · Cited by 1 · see citing works
Tetteng, B., Wirawan, H., Rahma, N., & Dewi, E. M. P. (2025) · Cogent Psychology · doi:10.1080/23311908.2025.2604330 · Cited by 2 · see citing works
Hou, P. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1682986 · Cited by 1 · see citing works
Xu, L., Arshat, Z., Ismail, N. B., & Lulu, S. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1680811 · Cited by 3 · see citing works
Attachment-Informed Strategies for Addressing Social Media Addiction in Kuwait
Al-Shammari, E. T. (2025) · International Journal of Technology and Human Interaction · doi:10.4018/ijthi.368254 · Cited by 1 · see citing works
“They may seek social interactions but withdraw when emotional closeness develops, resulting in inconsistent engagement patterns (Eichenberg et al., 2024).”
InfluentialMental Health and Smartphone Addiction
Goel, R., & Singla, J. (2025) · Advances in human and social aspects of technology book series · doi:10.4018/979-8-3693-8804-4.ch002 · Cited by 1 · see citing works
ahmadabadi, H. B., Dalvi‐Esfahani, M., & Ramayah, T. (2025) · Asia-Pacific Journal of Business Administration · doi:10.1108/apjba-02-2025-0142 · Cited by 1 · see citing works
Islam, M. M., Hasan, S. M. R., Masuyama, A., Tayeeba, F., Islam, M. F., Obhi, N. H., Tahia, M. J., Sayma, A. S. K., ALmerab, M. M., Ghosh, D., et al. (2025) · Brain and Behavior · doi:10.1002/brb3.70911 · Cited by 1 · see citing works
“For instance, a study conducted in Vienna among college students reported that 22.7% of students were addicted to social media (Eichenberg et al. 2024), and Chen et al. (2020) also found a similar rate of 21.7% for Taiwanese students (Chen et al. 2020).”
InfluentialBhattarai, P., Magar, D. R., Kafle, B., Bhattarai, P., Aryal, U. R., & Sanjel, S. (2025) · medRxiv · doi:10.1101/2025.07.08.25331070 · Cited by 1 · see citing works
Dash, P. S., & Islam, S. A. (2024) · European Journal of Business Management and Research · doi:10.24018/ejbmr.2024.9.3.2400
Tariq, S., Alvi, T. H., Jan, T., & Rashid, A. (2024) · Journal of Social & Organizational Matters · doi:10.56976/jsom.v3i4.146
Franco, J. M. Y. (2025) · Estudios y Perspectivas Revista Científica y Académica · doi:10.61384/r.c.a..v4i4.819
Transmedia and Digital Addiction
Semolini, F. F., da Silva, L. S., Vitta, A. S. L., Freires, É. M., & Andrade, A. L. M. (2025) · Springer eBooks · doi:10.1007/978-3-031-87986-9_11
Ruzzante, F., Gugushvili, N., & Verduyn, P. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5317147
Pastor, R. M. C., Truax, F. N., Şahin, S., Donnelly, J., Nick, J. M., & Tamares, S. (2025) · doi:10.2196/preprints.82245
Tamannaifar, M. R., Esmikhani, M., & Zaremohzzabieh, Z. (2025) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-025-00559-2
Safaria, T., & Amanah, P. A. (2025) · Mental Health and Digital Technologies · doi:10.1108/mhdt-08-2025-0053
Kamas, B. Ş., & Seki, T. (2025) · Psikiyatride Guncel Yaklasimlar - Current Approaches in Psychiatry · doi:10.18863/pgy.1718852
Polat, B., & Allahverdi, F. Z. (2025) · Current Perspectives in Social Sciences · doi:10.53487/atasobed.1621897
Adult attachment styles and romantic partner seeking trends in social media
Lampridis, E., Toudas, D., & Kalamaras, D. (2025) · Psychology the Journal of the Hellenic Psychological Society · doi:10.12681/psy_hps.43976
Beyond the Swipe: How Short-Form Video Shape Engagement and Impact Memory Capability
Rahayu, F. L. S., Wulandari, K., Christianto, S., et al. (2025) · doi:10.1109/icitee66631.2025.11338412
“Another study found that social media addiction among university students is closely linked to higher levels of neuroticism, increased psychological distress, and insecure attachment style that particularly the ambivalent closed type [16].”
Prevalence of Problematic Digital Media Use Among Young Adults: Protocol for a Systematic Review
Pastor, R. M. C., Truax, F. N., Şahin, S., Donnelly, J., Nick, J. M., & Tamares, S. (2026) · JMIR Research Protocols · doi:10.2196/82245
“A recent study on college-aged students (N=571; mean age 23.61, SD 5.00 years) revealed that 22.7% were addicted to social media, scoring significantly higher on depressiveness, anxiety, and somatization than the group who was not addicted to social media [13].”
InfluentialEffect of attentional bias modification on social media addiction: a visual dot-probe task
Zhao, J., Yu, J., Shi, Z., Li, M., Zhou, X., Liu, Z., & Hao, L. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1792101
Tan, T. C. X., & Ng, J. H. (2026) · International Journal of Education Psychology and Counseling · doi:10.35631/ijepc.1162085
Xu, W., Huang, Y., Su, C., Zhou, Z., Wang, S., Ye, H., Xu, Y., 王艳丽, Liu, K., Chen, J., et al. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1785472 · Cited by 1 · see citing works
“A total score of 19 or higher indicates possible addiction (41).”
Liu, Y., Wang, S., Ting, W., et al. (2026) · Journal of Medical Internet Research · doi:10.2196/91861
“Although numerous studies have identified the roles of proximal individual factors such as attachment styles and personality traits in social media addiction [6,7], its development may also be shaped by broader environmental influences.”
Jayapriya, R., & Jeyachidra, J. (2026) · International Conference on Signal, Systems, and Computing for Next-Gen Automation (ICSSCNA) · doi:10.1109/icsscna68616.2026.11546853
“Whereas some provide greater access to medical materials and peer cooperation, its overuse is associated with smartphone addiction, which can lead to poor academic results and professionalism [16].”
Büğüşan, S., Mirzaoğlu, N. A., Yıldırım, Z., et al. (2026) · Journal of Global Health · doi:10.7189/jogh.16.04206
“Cut off 19 [ 35 ].”
TUNÇ, G. Ç., & Köse, B. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1886635
Uçar, M., Kaplan, M., & Yıldız, M. (2026) · BMC Public Health · doi:10.1186/s12889-026-28574-9
“Conversely, lower parenting self-efficacy has been associated with greater parenting stress and anxiety [13].”
Alanizy, M. N., Alsubaie, S. E., Salamah, M. S., Jan, M. A., Alamri, A. A., Alothaim, A. M., & Alsudairy, N. M. (2026) · Cureus · doi:10.7759/cureus.113180
“It extends beyond the absence of mental illness to encompass positive emotional functioning, resilience, life satisfaction, and the ability to cope with daily stressors [3,6].”
Stead, J. (2026) · Springer eBooks · doi:10.1007/978-3-031-52643-5_63-1
Méndez, M. D. C. L., Padrón, I., Fumero, A., Perestelo‐Pérez, L., & Marrero, R. J. (2026) · European Journal of Investigation in Health Psychology and Education · doi:10.3390/ejihpe16090141
“Such decision-making tendencies may facilitate SNS use as an easily accessible strategy for emotion regulation, distraction, or social reassurance (Eichenberg et al., 2024; Kırcaburun & Griffiths, 2018).”
Özcan, A., & Oral, T. (2026) · Behavioral Sciences · doi:10.3390/bs16101870
MUTLU, Ş., Bayazit, S., & Kuyumcu, E. E. (2026) · Klinik Psikoloji Dergisi · doi:10.57127/kpd.26024438.1981751
- Authors
- Eichenberg, C., Schneider, R., & Rumpl, H.
- Affiliations
- Sigmund Freud Privatuniversität Wien (AT)
- Corresponding author
- Schneider, Raphaela
- Venue
- BMC Psychiatry
- Published
- 2024-04-15
- Volume
- 24
- Issue
- 1
- Pages
- 278-278
- ISSN
- 1471-244X (ISSN-L)
- PMC
- PMC11017614
- OpenAlex
- W4394819555
- Semantic Scholar
- e3bc09043d273fdb0a5be45d7802ba776ad5fcfc
- Cited by
- 60
- References
- 58
- Citations by year
- 2026: 23 · 2025: 30 · 2024: 7
- FWCI
- 43.77
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BMC Psychiatry (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Physical Sciences › Computer Science › Computer Science Applications › Digital Media and Philosophy
- Keywords
- social media addiction, attachment styles, ambivalent attachment, insecure attachment, psychological distress, neuroticism, personality, university students, Bergen Social Media Addiction Scale, Brief Symptom Inventory, Big Five personality traits
- MeSH terms
- Internet Addiction Disorder, Adult, Anxiety, Anxiety Disorders, Female, Humans, Male, Personality, Personality Disorders, Behavior, Addictive, Young Adult, Social Media
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