Instagram addiction and the Big Five of personality: The mediating role of self-liking
Open accessAbstract
Background and aims: Recent research has suggested that social networking site use can be addictive. Although extensive research has been carried out on potential addiction to social networking sites, such as Facebook, Twitter, YouTube, and Tinder, only one very small study has previously examined potential addiction to Instagram. Consequently, the objectives of this study were to examine the relationships between personality, self-liking, daily Internet use, and Instagram addiction, as well as exploring the mediating role of self-liking between personality and Instagram addiction using path analysis. Methods: A total of 752 university students completed a self-report survey, including the Instagram Addiction Scale (IAS), the Big Five Inventory (BFI), and the Self-Liking Scale. Results: Results indicated that agreeableness, conscientiousness, and self-liking were negatively associated with Instagram addiction, whereas daily Internet use was positively associated with Instagram addiction. The results also showed that self-liking partially mediated the relationship of Instagram addiction with agreeableness and fully mediated the relationship between Instagram addiction with conscientiousness. Discussion and conclusions: This study contributes to the small body of literature that has examined the relationship between personality and social networking site addiction and is one of only two studies to examine the addictive use of Instagram and the underlying factors related to it.
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Written from the paper’s full text.
TL;DR
This cross-sectional study examined Big Five personality traits, self-liking, daily Internet use, and Instagram addiction among 752 university students using a newly developed Instagram Addiction Scale. Agreeableness, conscientiousness, and self-liking were negatively associated with Instagram addiction, daily Internet use was positively associated, and self-liking mediated the links for agreeableness and conscientiousness.
Key findings
- Among 752 participants, 33.5% were classified as risky Instagram users: 26.5% mildly addicted, 6.1% moderately addicted, and 0.9% severely addicted; 66.5% were non-addicted.
- In path analysis, agreeableness (total effect β = −0.19), self-liking (β = −0.14), and daily Internet use (β = 0.20) were related to Instagram addiction; conscientiousness had a total effect of β = −0.10 and an indirect effect via self-liking of β = −0.03.
- Self-liking partially mediated the relationship between agreeableness and Instagram addiction and fully mediated the relationship between conscientiousness and Instagram addiction; extraversion, neuroticism, and openness to experience were not supported as predictors.
- The model predicted 21% of self-liking and 12% of Instagram addiction; the Instagram Addiction Scale had two factors (social effect and compulsion) with Cronbach’s α of .90 total, .86, and .85, respectively.
Methods
- Cross-sectional self-report survey; 1,124 students participated overall, with 372 in Instagram Addiction Scale development and 752 in the main analysis (69% female; age range 18–24 years, mean = 20.30, SD = 1.46).
- Measures included the short Big Five Inventory, the Self-Liking subscale, and the Instagram Addiction Scale, which was modified from Young’s Internet Addiction Test.
- Analyses used EFA and CFA, descriptive statistics and Pearson correlations, and path analysis/SEM with maximum likelihood estimation and bootstrapping (2,000 bootstrap samples, 95% bias-corrected confidence intervals).
Limitations
- The authors state that data were self-report and subject to biases such as memory recall and social desirability; the sample was cross-sectional, self-selecting, and non-representative, so causal relationships cannot be drawn.
- The authors also note that the model explained only 12% of Instagram addiction variance, meaning other variables were not included, and that the mediation findings may alternatively reflect moderation.
- Evident from the text: the sample was a convenience sample of university students, limiting generalizability, and only the self-liking dimension of self-esteem was measured rather than global self-esteem or self-competence.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
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Cites
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Claims the paper makes
0 of 39 cited sources checked · 0 supported · 0 flagged
- Findingown data
Overall, 33.5% of participants were risky Instagram users.
“According to cut-off points of the IAS, 66.5% of the participants were non-addicted, 26.5% were mildly addicted, 6.1% were moderately addicted, and 0.9% were severely addicted to Instagram. Overall, 33.5% of the participants were risky Instagram users (Table 2).”
Quote in the paperNot a substantial claim- Rests on an assumption: The IAS cut-off points derived from cluster analysis accurately classify Instagram addiction severity.
- Findingown data
Self-liking is negatively associated with Instagram addiction.
“Results indicated that agreeableness, conscientiousness, and self-liking were negatively associated with Instagram addiction, whereas daily Internet use was positively associated with Instagram addiction.”
Quote in the paperSubstantial claim - Findingown data
Instagram addiction was weakly correlated with agreeableness.
“Bivariate correlation coefficients (Table 3) indicated that Instagram addiction was weakly correlated with daily Internet use, agreeableness, self-liking, conscientiousness, and neuroticism.”
Quote in the paperNot a substantial claim - Findingown data
Self-liking partially mediates the relationship between agreeableness and Instagram addiction.
“The results also showed that self-liking partially mediated the relationship of Instagram addiction with agreeableness and fully mediated the relationship between Instagram addiction with conscientiousness.”
Quote in the paperSubstantial claim- Rests on an assumption: The cross-sectional associations among personality, self-liking, and Instagram addiction reflect directional influences from personality and self-liking to Instagram addiction.
- Findingown data
Self-liking was moderately correlated with neuroticism.
“Self-liking was moderately correlated with extraversion, conscientiousness, neuroticism and weakly with agreeableness, and openness to experience.”
Quote in the paperNot a substantial claim
- Findingown data
66.5% of participants were non-addicted to Instagram according to IAS cut-off points.
“According to cut-off points of the IAS, 66.5% of the participants were non-addicted, 26.5% were mildly addicted, 6.1% were moderately addicted, and 0.9% were severely addicted to Instagram. Overall, 33.5% of the participants were risky Instagram users (Table 2).”
Quote in the paperNot a substantial claim- Rests on an assumption: The IAS cut-off points derived from cluster analysis accurately classify Instagram addiction severity.
- Findingown data
Self-liking was weakly correlated with agreeableness.
“Self-liking was moderately correlated with extraversion, conscientiousness, neuroticism and weakly with agreeableness, and openness to experience.”
Quote in the paperNot a substantial claim - Findingown data
Conscientiousness is negatively associated with Instagram addiction.
“Results indicated that agreeableness, conscientiousness, and self-liking were negatively associated with Instagram addiction, whereas daily Internet use was positively associated with Instagram addiction.”
Quote in the paperSubstantial claim - Findingown data
Instagram addiction was weakly correlated with self-liking.
“Bivariate correlation coefficients (Table 3) indicated that Instagram addiction was weakly correlated with daily Internet use, agreeableness, self-liking, conscientiousness, and neuroticism.”
Quote in the paperNot a substantial claim - Findingown data
The 15 IAS items explained 53.9% of the variance.
“15 items (see Appendix) were able to explain 53.9% of the variance”
Quote in the paperNot a substantial claim - Findingown data
6.1% of participants were moderately addicted to Instagram according to IAS cut-off points.
“According to cut-off points of the IAS, 66.5% of the participants were non-addicted, 26.5% were mildly addicted, 6.1% were moderately addicted, and 0.9% were severely addicted to Instagram. Overall, 33.5% of the participants were risky Instagram users (Table 2).”
Quote in the paperNot a substantial claim- Rests on an assumption: The IAS cut-off points derived from cluster analysis accurately classify Instagram addiction severity.
- Findingown data
Daily Internet use is positively associated with Instagram addiction.
“Results indicated that agreeableness, conscientiousness, and self-liking were negatively associated with Instagram addiction, whereas daily Internet use was positively associated with Instagram addiction.”
Quote in the paperSubstantial claim - Findingown data
Agreeableness is negatively associated with Instagram addiction.
“Results indicated that agreeableness, conscientiousness, and self-liking were negatively associated with Instagram addiction, whereas daily Internet use was positively associated with Instagram addiction.”
Quote in the paperSubstantial claim - Findingown data
Instagram addiction was weakly correlated with neuroticism.
“Bivariate correlation coefficients (Table 3) indicated that Instagram addiction was weakly correlated with daily Internet use, agreeableness, self-liking, conscientiousness, and neuroticism.”
Quote in the paperNot a substantial claim - Findingown data
0.9% of participants were severely addicted to Instagram according to IAS cut-off points.
“According to cut-off points of the IAS, 66.5% of the participants were non-addicted, 26.5% were mildly addicted, 6.1% were moderately addicted, and 0.9% were severely addicted to Instagram. Overall, 33.5% of the participants were risky Instagram users (Table 2).”
Quote in the paperNot a substantial claim- Rests on an assumption: The IAS cut-off points derived from cluster analysis accurately classify Instagram addiction severity.
- Findingown data
Self-liking fully mediates the relationship between conscientiousness and Instagram addiction.
“The results also showed that self-liking partially mediated the relationship of Instagram addiction with agreeableness and fully mediated the relationship between Instagram addiction with conscientiousness.”
Quote in the paperSubstantial claim- Rests on an assumption: The cross-sectional associations among personality, self-liking, and Instagram addiction reflect directional influences from personality and self-liking to Instagram addiction.
- Findingown data
Instagram addiction was weakly correlated with daily Internet use.
“Bivariate correlation coefficients (Table 3) indicated that Instagram addiction was weakly correlated with daily Internet use, agreeableness, self-liking, conscientiousness, and neuroticism.”
Quote in the paperNot a substantial claim - Findingown data
The Pearson correlation between compulsion and total scale was 0.90.
“The Pearson’s correlation coefficient was 0.61 between social effect and compulsion, 0.89 between social effect and total scale, and 0.90 between compulsion and total scale.”
Quote in the paperNot a substantial claim - Findingown data
Self-liking was moderately correlated with extraversion.
“Self-liking was moderately correlated with extraversion, conscientiousness, neuroticism and weakly with agreeableness, and openness to experience.”
Quote in the paperNot a substantial claim - Findingown data
26.5% of participants were mildly addicted to Instagram according to IAS cut-off points.
“According to cut-off points of the IAS, 66.5% of the participants were non-addicted, 26.5% were mildly addicted, 6.1% were moderately addicted, and 0.9% were severely addicted to Instagram. Overall, 33.5% of the participants were risky Instagram users (Table 2).”
Quote in the paperNot a substantial claim- Rests on an assumption: The IAS cut-off points derived from cluster analysis accurately classify Instagram addiction severity.
- Findingown data
Self-liking was weakly correlated with openness to experience.
“Self-liking was moderately correlated with extraversion, conscientiousness, neuroticism and weakly with agreeableness, and openness to experience.”
Quote in the paperNot a substantial claim - Findingown data
Self-liking was moderately correlated with conscientiousness.
“Self-liking was moderately correlated with extraversion, conscientiousness, neuroticism and weakly with agreeableness, and openness to experience.”
Quote in the paperNot a substantial claim - Findingown data
Instagram addiction was weakly correlated with conscientiousness.
“Bivariate correlation coefficients (Table 3) indicated that Instagram addiction was weakly correlated with daily Internet use, agreeableness, self-liking, conscientiousness, and neuroticism.”
Quote in the paperNot a substantial claim - Findingown data
Agreeableness was weakly negatively directly related to Instagram addiction (β = −0.16, p < .05, 95% CI [−0.26, −0.05]).
“Analysis (Table 4) showed that agreeableness (β = −.16, p < .05; 95% CI [−0.26, −0.05]), self-liking (β = −0.14, p < .05; 95% CI [−0.23, −0.05]), and daily Internet use (β = 0.20, p < 0.05; 95% CI [0.12, 0.27]) were weakly but directly related to Instagram addiction.”
Quote in the paperSubstantial claim - Findingown data
Openness to experience was not related to Instagram addiction.
“Openness to experience → IA (total effect) | Not Supported | 0.06 | 0.04 | –”
Quote in the paperNot a substantial claim - Findingown data
One-third of the students had risky levels of Instagram use.
“Analyses indicated that one-third of the students had risky levels of Instagram use.”
Quote in the paperNot a substantial claim - Findingown data
The hypothesized path model showed good fit to the data (χ2/df = 3.34, RMSEA = 0.06, SRMR = 0.04, CFI = 0.97, GFI = 0.99).
“Goodness of fit indices of the model (Figure 2) indicated good fit to the data, indicating that the model was acceptable (χ2/df = 3.34, RMSEA = 0.06 (90% CI [0.04, 0.06]), SRMR = 0.04, CFI = 0.97, GFI = 0.99).”
Quote in the paperSubstantial claim - Findingown data
Daily Internet use was weakly positively directly related to Instagram addiction (β = 0.20, p < .05, 95% CI [0.12, 0.27]).
“Analysis (Table 4) showed that agreeableness (β = −.16, p < .05; 95% CI [−0.26, −0.05]), self-liking (β = −0.14, p < .05; 95% CI [−0.23, −0.05]), and daily Internet use (β = 0.20, p < 0.05; 95% CI [0.12, 0.27]) were weakly but directly related to Instagram addiction.”
Quote in the paperNot a substantial claim - Findingown data
Agreeableness was weakly negatively indirectly associated with Instagram addiction via self-liking (β = −0.02, p < .05, 95% CI [−0.04, −0.01]).
“Moreover, agreeableness (β = −0.02, p < .05; 95% CI [−0.04, −0.01]) and conscientiousness (β = −0.03, p < .05; 95% CI [−0.06, −0.01]) were weakly and indirectly associated with Instagram addiction via self-liking.”
Quote in the paperSubstantial claim - Findingown data
Conscientiousness was weakly negatively indirectly associated with Instagram addiction via self-liking (β = −0.03, p < .05, 95% CI [−0.06, −0.01]).
“Moreover, agreeableness (β = −0.02, p < .05; 95% CI [−0.04, −0.01]) and conscientiousness (β = −0.03, p < .05; 95% CI [−0.06, −0.01]) were weakly and indirectly associated with Instagram addiction via self-liking.”
Quote in the paperSubstantial claim - Findingown data
Neuroticism was not related to Instagram addiction in the constructed model.
“Despite the positive correlation between neuroticism and Instagram addiction found in this study, it was non-significant in the constructed model.”
- Also stated in: § Results · plain
“Neuroticism → IA (total effect) | Not Supported | 0.09 | 0.06 | –”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
The newly developed IAS comprised two factors: social effect and compulsion.
“The newly developed IAS comprised two factors (i.e., social effect and compulsion).”
Quote in the paperSubstantial claim - Findingown data
Extraversion was not related to Instagram addiction.
“Contrary to the hypotheses, the results indicated that extraversion and neuroticism were not related to Instagram addiction.”
- Also stated in: § Results · plain
“Extraversion → IA (total effect) | Not Supported | 0.03 | 0.04 | –”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
Self-liking was weakly negatively directly related to Instagram addiction (β = −0.14, p < .05, 95% CI [−0.23, −0.05]).
“Analysis (Table 4) showed that agreeableness (β = −.16, p < .05; 95% CI [−0.26, −0.05]), self-liking (β = −0.14, p < .05; 95% CI [−0.23, −0.05]), and daily Internet use (β = 0.20, p < 0.05; 95% CI [0.12, 0.27]) were weakly but directly related to Instagram addiction.”
Quote in the paperSubstantial claim - Study design and conductown data
CFA goodness of fit indices for the IAS were χ2/df = 2.93, RMSEA = 0.07, SRMR = 0.05, CFI = 0.93, NFI = 0.89, GFI = 0.91.
“As a result of CFA, goodness of fit indices generated good and acceptable values [χ2/df = 2.93, RMSEA = 0.07 (90% CI [0.06, 0.08]), SRMR = 0.05, CFI = 0.93, NFI = 0.89, GFI = 0.91].”
Quote in the paperSubstantial claim - Study design and conductown data
Squared multiple correlation values of IAS items ranged between 0.30 and 0.59.
“Standardized regression weights (between 0.54 and 0.77) and squared multiple correlation values (between 0.30 and 0.59) of the scale items were generally good.”
Quote in the paperNot a substantial claim - Study design and conductown data
Cronbach's alpha for the compulsion subfactor was .85.
“The Cronbach α coefficient for the total scale and subfactors were .90, .86, and .85, respectively (Table 1).”
Quote in the paperNot a substantial claim - Study design and conductown data
Cronbach's alpha for the total IAS was .90.
“The Cronbach α coefficient for the total scale and subfactors were .90, .86, and .85, respectively (Table 1).”
Quote in the paperNot a substantial claim - Study design and conductown data
Cronbach's alpha for the social effect subfactor was .86.
“The Cronbach α coefficient for the total scale and subfactors were .90, .86, and .85, respectively (Table 1).”
Quote in the paperNot a substantial claim - Study design and conductown data
Standardized regression weights of IAS items ranged between 0.54 and 0.77.
“Standardized regression weights (between 0.54 and 0.77) and squared multiple correlation values (between 0.30 and 0.59) of the scale items were generally good.”
Quote in the paperNot a substantial claim - Study design and conductcitation
Normality was accepted because skewness values were smaller than |3| and kurtosis values were smaller than |10|.
“Normality assumptions were checked by examining the skewness and kurtosis values of the variables. Since skewness values were smaller than |3| and kurtosis values were smaller than |10| (Kline, 2004), normal distribution was accepted.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kline, 2004
Not checked in the free run.
- Interpretationown data
The IAS can be used for assessing Instagram addiction among university students.
“Rigorous testing showed that the scale can be used for assessing Instagram addiction among university students in future studies.”
Quote in the paperSubstantial claim - Interpretationreasoning
Less agreeable individuals may become addicted to Instagram via the gratifications of passing time, entertainment, self-documentation, and information.
“From a uses and gratifications theory perspective, less agreeable individuals may be argued as becoming addicted to Instagram via the gratifications of passing time, entertainment, self-documentation, and information.”
Quote in the paperSubstantial claim - Premisecitation
Self-liking is strongly influenced by the accepting or rejecting attitudes, and/or positive or negative remarks by individuals' peers.
“Self-liking is strongly influenced by the accepting or rejecting attitudes, and/or positive or negative remarks by individuals’ peers (Tafarodi & Swann, 2001).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Tafarodi & Swann, 2001 source
Not checked in the free run.
- Interpretationcitation
Individuals with lower self-liking are not likely to upload personal selfies or videos very often.
“However, as much as they may be expected to use Instagram excessively, they are not likely to upload personal selfies or videos very often.”
Quote in the paperSubstantial claim - Interpretationreasoning
Individuals with lower self-liking may spend excessive time on virtual platforms such as Instagram where there are no necessities of socializing, communicating, or bonding with others.
“Therefore, they may spend excessive time on virtual platforms, such as Instagram, where there are no necessities of socializing, communicating, or bonding with others.”
Quote in the paperSubstantial claim - Interpretationown data
The results provide empirical evidence that an individual's core characteristics have an important contributory role in specific Internet-use disorders such as Instagram addiction.
“These results have important contributions to I-PACE model, because it provides empirical evidence that an individual’s core characteristics have an important contributory role in specific Internet-use disorders, such as Instagram addiction.”
Quote in the paperSubstantial claim - Interpretationreasoning
These traits may lead individuals with lower conscientiousness to lower self-liking with problematic peer relationships and constant criticism from their social surroundings.
“These traits may lead them to lower self-liking with having problematic peer relationships and having constant criticism from their social surroundings.”
Quote in the paperNot a substantial claim
- Classified as probably not a substantial claim. 36
- May combine two claims. 26
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe IAS comprises two factors: social effect (eight items) and compulsion (seven items).
“the scale was composed of two factors, which were named as social effect (eight items, e.g., “How often do you prefer the excitement of Instagram instead of being with your close friends?”) and compulsion (seven items, e.g., “How often do you try to cut down the amount of time you spend on Instagram and fail?”).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe Pearson correlation between social effect and total scale was 0.89.
“The Pearson’s correlation coefficient was 0.61 between social effect and compulsion, 0.89 between social effect and total scale, and 0.90 between compulsion and total scale.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe Pearson correlation between social effect and compulsion was 0.61.
“The Pearson’s correlation coefficient was 0.61 between social effect and compulsion, 0.89 between social effect and total scale, and 0.90 between compulsion and total scale.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Findingown dataIAS cut-off points were non-addiction (15-37), mild addiction (38-58), moderate addiction (59-73), and severe addiction (over 73).
“As a result, cut-off points were determined as follows: non-addiction (15–37), mild addiction (38–58), moderate addiction (59–73), and severe addiction (over 73).”
Quote in the paperSubstantial claim- Rests on an assumption: The IAS cut-off points derived from cluster analysis accurately classify Instagram addiction severity.
May combine two claims.
Findingown dataSelf-liking fully mediated the relationship between conscientiousness and Instagram addiction, and partially mediated the relationship between agreeableness and Instagram addiction.
“Self-liking mediated the relationships of conscientiousness (fully) and agreeableness (partially) with Instagram addiction.”
- Also stated in: § Discussion · plain
“self-liking fully mediates the relationship of Instagram addiction with conscientiousness, and partially with agreeableness.”
Quote in the paperSubstantial claim- Also stated in: § Discussion · plain
May combine two claims.
Findingown dataThe hypothesized model predicted 21% of self-liking and 12% of Instagram addiction.
“The hypothesized model predicted 21% of self-liking and 12% of Instagram addiction.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIntroverted, less agreeable, and less conscientious students are more addicted to Twitter.
“introverted, less agreeable, and less conscientious students are more addicted to Twitter (Kırcaburun, 2016a)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kırcaburun, 2016a
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PremisecitationAll Big Five personality dimensions had a significant effect on Internet addiction.
“all personality dimensions had a significant effect on Internet addiction”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kayiş et al., 2016 source
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationBeing less open to experience, less emotional stable, and less conscientious is associated with Facebook addiction.
“being less open to experience, less emotional stable, and less conscientious is associated with Facebook addiction (Błachnio, Przepiorka, Senol-Durak, Durak, & Sherstyuk, 2017)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Błachnio, Przepiorka, Senol-Durak, Durak, & Sherstyuk, 2017 source
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PremisecitationIndividuals who were less open to experience, agreeable, extraverted, conscientious, and more neurotic reported higher levels of Internet addiction.
“Individuals who were less open to experience, agreeable, extraverted, conscientious, and more neurotic reported higher levels of Internet addiction.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kayiş et al., 2016 source
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PremisecitationDaily time spent on Internet is positively related to social media addiction.
“Based on the study of Kırcaburun (2016a) and Karadağ et al. (2015) that demonstrated daily time spent on Internet is positively related to social media addiction”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Kırcaburun, 2016a
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- cites Karadağ et al., 2015 source
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PremisecitationEmotional stability, extraversion, and conscientiousness have the strongest effects on self-esteem.
“emotional stability, extraversion, and conscientiousness have the strongest effects on self-esteem (Robins, Tracy, Trzesniewski, Potter, & Gosling, 2001)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Robins, Tracy, Trzesniewski, Potter, & Gosling, 2001 source
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PremisecitationSelf-liking has a stronger association with self-esteem than self-competence.
“Self-liking is claimed to have stronger association with self-esteem than compared with self-competence (Dogan, 2011; Tafarodi & Swann, 2001).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Dogan, 2011
Not checked in the free run.
- cites Tafarodi & Swann, 2001 source
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationExtraverts and neurotics are more addicted to social media.
“Studies have reported that (a) extraverts and neurotics are more addicted to social media (Wang, Ho, Chan, & Tse, 2015)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wang, Ho, Chan, & Tse, 2015 source
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe Big Five personality dimensions accounted for 34% of the variance in self-esteem.
“the Big Five personality dimensions accounted for 34% of the variance in self-esteem”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Robins, Tracy, Trzesniewski, Potter, & Gosling, 2001 source
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Classified as probably not a substantial claim.
Study design and conductnone givenBootstrapping was performed with 2,000 bootstrap samples and 95% bias-corrected confidence intervals.
“Bootstrapping was performed with 2,000 bootstrap samples and 95% bias-corrected confidence intervals.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationNeurotic, introvert, and conscientious students are more likely to be problematic users of Facebook.
“neurotic, introvert, and conscientious students are more likely to be problematic users of Facebook (Marino et al., 2016)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Marino et al., 2016 source
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PremisecitationOnline social networking addiction has the biggest overlap with Internet addiction more generally.
“online social networking addiction has the biggest overlap with Internet addiction more generally (Montag et al., 2015)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Montag et al., 2015 source
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PremisecitationSocial networking applications are different from other Internet applications because these needs can also be fulfilled in offline contexts but engaging in social networking applications can only be carried out online.
“social networking applications are different from other Internet applications, such as gambling, gaming, and shopping, because these needs can also be fulfilled in offline contexts but engaging in social networking applications, such as Instagram, can only be carried out online.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Griffiths, 2005 source
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Interpretationown dataEFA and CFA results suggest the IAS is valid and reliable in assessing Instagram addiction levels of university students.
“EFA and CFA results suggest that the scale is valid and reliable in assessing Instagram addiction levels of university students.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationStudents with higher self-liking were more extraverted, conscientious, agreeable, open to experience, and less neurotic.
“students with higher self-liking were more extraverted, conscientious, agreeable, open to experience, and less neurotic (Ramsdal, 2008)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ramsdal, 2008 source
Not checked in the free run.
May combine two claims.
PremisecitationSelf-esteem is negatively associated with SNS use and social media addiction.
“self-esteem is reported to be one of the important factors and it is negatively associated with SNS use and social media addiction (Andreassen et al., 2017; Blachino, Przepiorka, & Pantic, 2016; Kırcaburun, 2016b)”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Andreassen et al., 2017 source
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- cites Blachino, Przepiorka, & Pantic, 2016
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- cites Kırcaburun, 2016b
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PremisecitationIndividuals become addicted because they are experiencing different gratifications via these platforms that they cannot have in their real life, and problematic use may continue as long as they keep getting their needed gratifications repeatedly.
“As Ryan et al. (2014) indicated, individuals become addicted, because they are experiencing different gratifications via these platforms that they cannot have in their real life, and problematic use may be expected to continue as long as they keep getting their needed gratifications repeatedly.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ryan et al. (2014) source
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Study design and conductreasoningThe cross-sectional nature of the study does not allow the drawing of causal relationships among the variables examined.
“In addition, cross-sectional nature of the study does not allow the drawing of causal relationships among the variables examined.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationIndividuals with low agreeableness are not expected to involve themselves in others' uploads or to try to compensate their loneliness or real life relations by constructing online relationships.
“Based on these studies, it may be argued that individuals with low agreeableness are not expected to involve themselves in others’ uploads or to try to compensate their loneliness or real life relations by constructing online relationships.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductreasoningThe sample was cross-sectional and self-selecting and therefore non-representative.
“The sample was also cross-sectional and self-selecting and therefore non-representative.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationConscientious individuals are systematic, punctual, and hard working, whereas individuals with lower conscientiousness have lower self-discipline, are emotionally driven, unambitious, and tend to behave irresponsibly and inconsistently.
“Conscientious individuals are systematic, punctual, and hard working, whereas individuals with lower conscientiousness have lower self-discipline, are emotionally driven, unambitious about what they do, and they tend to behave irresponsibly and inconsistently (Costa & McCrae, 2000).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Costa & McCrae, 2000
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe data were self-report, which suffers from biases such as memory recall and social desirability.
“The data were self-report in relation to questions regarding Instagram addiction, personality, and self-liking. Self-report methods suffer from a number of well-established biases (such as memory recall and social desirability).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIndividuals with lower self-liking may be expected to have higher levels of depression, which is positively associated with social media addiction, to be uncomfortable in social settings, and to experience attachment issues with peers and family.
“individuals with lower self-liking may be expected to have higher levels of depression (Wilkinson, 2010), which is positively associated with social media addiction (Andreassen et al., 2016; Kırcaburun, 2016b), to be uncomfortable in social settings and to experience attachment issues with their peers and family (Wilkinson, 2010).”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenThe previous study (Ershad & Aghajani, 2017) had major methodological flaws and only 100 participants.
“However, this previous study had major methodological flaws and only 100 participants.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ershad & Aghajani, 2017
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe previous study (Ershad & Aghajani, 2017) found neuroticism was associated with Instagram addiction.
“the previous study (i.e., Ershad & Aghajani, 2017) found neuroticism was associated with Instagram addiction.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ershad & Aghajani, 2017
Not checked in the free run.
May combine two claims.
Interpretationown dataThe hypothesized model predicted a relatively low proportion of Instagram addiction in terms of overall variance (12%), meaning many other variables affect addictive use of Instagram that were not included in this study.
“Finally, the hypothesized model predicted a relatively low proportion of Instagram addiction in terms of overall variance (12%). This means that there are many other variables that affect addictive use of Instagram, which were not included in this study.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningInstagram is arguably a safe and joyous medium for neurotics to escape from real life troubled social relationships.
“Instagram is arguably a safe and joyous medium for them to escape from real life troubled social relationships.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductcitationThe moderate correlation between self-liking and Big Five scores may not be a sufficient explanation for a mediation effect; a bivariate correlation or an assumed interaction could also be a sign of a moderation effect.
“Some may argue that the moderate correlation is not a sufficient explanation for a mediation effect. A bivariate correlation or an assumed interaction could also be a sign of a moderation effect.”
Quote in the paperSubstantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
InterpretationreasoningIndividuals with lower agreeableness may be expected to experience rejection and negative remarks from their friends or surroundings, resulting in a decrease in self-liking.
“Individuals with lower agreeableness may be expected to experience rejection and negative remarks from their friends or surroundings, resulting in a decrease in self-liking.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPublic-based and appearance contingencies of self-worth were positively related to online photo sharing.
“Stefanone, Lackaff, and Rosen (2011) reported that public-based and appearance contingencies of self-worth were positively related to online photo sharing.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Stefanone, Lackaff, and Rosen (2011) source
Not checked in the free run.
May combine two claims.
PremisecitationIndividuals with higher self-liking are comfortable in social settings and in communicating with others.
“Individuals with higher self-liking are comfortable in social settings and in communicating with others (Tafarodi & Swann, 1995).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Tafarodi & Swann, 1995 source
Not checked in the free run.
May combine two claims.
Interpretationown dataSome individuals use Instagram problematically and different personality constructs are associated with this problematic use.
“The findings of this study indicate that some individuals use Instagram problematically and different personality constructs are associated with this problematic use.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationNeurotics are mostly unstable and impatient, tend to get angry quickly, and perceive life negatively.
“Neurotics are mostly unstable and impatient, and they tend to get angry quickly and perceive life negatively (McCrae & John, 1992).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites McCrae & John, 1992 source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationStudents with higher self-liking demonstrated lower avoidance and anxiety in friendship attachments and had a higher quality of attachment with their parents and peers.
“Wilkinson (2010) noted that students with higher self-liking demonstrated lower avoidance and anxiety in friendship attachments and that they had a higher quality of attachment with their parents and peers.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wilkinson (2010) source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThe non-significant relationship between extraversion and Instagram addiction might be because Wang et al. (2015) reported an association between extraversion and addictive use of social media in general rather than being specific to Instagram addiction.
“The non-significant relationship between extraversion and Instagram addiction might be because Wang et al. (2015) reported an association between extraversion and addictive use of social media in general rather than being specific to Instagram addiction.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wang et al. (2015) source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA weaker sense of peer belonging among teenagers was positively related to deceptive like-seeking on Instagram.
“Dumas, Maxwell-Smith, Davis, and Giulietti (2017) noted that a weaker sense of peer belonging among teenagers was positively related to deceptive like-seeking on Instagram.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Dumas, Maxwell-Smith, Davis, and Giulietti (2017) source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningPersonality traits may have an effect on which form of online communication individuals prefer in the first place.
“personality traits may have an effect on which form of online communication individuals prefer in the first place.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationThe findings support that addictions on the Internet are not the same as addictions to the Internet, and that among social media addictions there are differences in personality characteristics of potentially addicted Instagram users and other types of SNS addicts using different platforms.
“The findings of this study support the assertions made almost two decades ago that addictions on the Internet are not the same as addictions to the Internet (Griffiths, 1998), and that even among social media addictions, there are differences in the personality characteristics of potentially addicted Instagram users and other types of SNS addicts using different platforms (e.g., Facebook, Twitter,”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Griffiths, 1998
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAgreeableness was related positively to posting group selfies, involvement in others' responses, observing others' selfies, and commenting or posting "likes" on others' selfies.
“Kim and Chock (2016) and Choi et al. (2017) reported that agreeableness was related positively to posting group selfies, involvement in others’ responses, observing others’ selfies, and commenting or posting “likes” on others’ selfies.”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationBoth introverted and extraverted students might have become similarly addicted to Instagram due to different usage aims and motivations.
“Here, both introverted and extraverted students might have become similarly addicted to Instagram due to different usage aims and motivations.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationLess agreeable individuals may become pathological users of SNSs because they have difficulties in constructing new relationships and pursuing existing ones.
“Kırcaburun (2016a) who argued that less agreeable individuals may become pathological users of SNSs, such as Twitter, because they have difficulties in constructing new relationships and pursue existing ones.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kırcaburun (2016a)
Not checked in the free run.
The paper relies on this without support.
The IAS cut-off points derived from cluster analysis accurately classify Instagram addiction severity.
“To determine the cut-off points of the scale, two-step cluster analysis was utilized. As a result, cut-off points were determined as follows: non-addiction (15–37), mild addiction (38–58), moderate addiction (59–73), and severe addiction (over 73).”
The paper relies on this without support.
The cross-sectional associations among personality, self-liking, and Instagram addiction reflect directional influences from personality and self-liking to Instagram addiction.
“However, given that these studies are cross-sectional, the direction of effects is unknown. SNS interactions might have led to a change in self-esteem levels or low self-esteem might have been led to such interactions and uses in the first place.”
The paper relies on this without support.
The convenience sample of 752 university students is representative of university students for prevalence and relationships.
“pencil and paper questionnaires were distributed to a convenience sample of university students by the research team.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Research has shown that the personality traits that make up dark triad play a crucial role in adding to the Internet and social networks.
“Research has shown that the personality traits that make up dark triad play a crucial role in adding to the Internet and social networks [19,20,21].”
From Dark Personality Traits and Online Behaviors: Portuguese Versions of Cyberstalking, Online Harassment, Flaming and Trolling Scales (2023) · cites this paper as [20]
The Introduction and the ‘Big Five personality traits and social networking site use’ section link personality traits to problematic Internet and social-network use. But the paper discusses the Big Five, not the Dark Triad; our copy does not support the claim about that specific group of traits. (LLM, conf=0.86)
Experimental — accuracy not yet measuredNarcissism is associated with online self-promotion behaviors and trying to be more popular, which can cause problematic Internet use.
“For its part, narcissism is associated with online self-promotion behaviors and trying to be more popular, which can cause problematic Internet use [20,32,38,39]; this coincides with our results.”
From Dark Personality Traits and Online Behaviors: Portuguese Versions of Cyberstalking, Online Harassment, Flaming and Trolling Scales (2023) · cites this paper as [20]
The Introduction (page unavailable) reports self-promotion as an Instagram-use motive and self-presentation as a predictor of social-networking-site addiction. It does not link narcissism to those behaviors or establish that seeking popularity causes problematic Internet use; narcissism appears in the retrieved References, not in a passage making that claim. (LLM, conf=0.78)
Experimental — accuracy not yet measuredDimensions of the dark triad of personality explain online behaviors.
“These associations reinforce the behavioral characteristics of these individuals and how they may behave on the Internet, allowing us to suggest that dimensions of the dark triad of personality explain online behaviors [4,9,10,16,20,32,34,35,38,39,63].”
From Dark Personality Traits and Online Behaviors: Portuguese Versions of Cyberstalking, Online Harassment, Flaming and Trolling Scales (2023) · cites this paper as [20]
The Introduction and Discussion say that personality traits are associated with addictive use of online applications, including Instagram. The study examines the Big Five, however, not the dimensions of the dark triad; it therefore supports the general personality–online behavior link but not the claim about the dark triad specifically. (LLM, conf=0.84)
Experimental — accuracy not yet measuredAccording to U>, personality traits motivate and provide gratification for individuals and for PSMU.
“Similarly, according to the U> approach, personality traits also motivate and provide gratification for individuals (Sheldon and Bryant 2016) and for PSMU (Kircaburun 2016a;Kircaburun and Griffiths 2018a).”
From Uses and Gratifications of Problematic Social Media Use Among University Students: a Simultaneous Examination of the Big Five of Personality Traits, Social Media Platforms, and Social Media Use Motives (2020) · cites this paper as Kircaburun and Griffiths 2018a
Psychopathic individuals tend to engage in antisocial online behaviors such as cyberbullying, trolling, cyberstalking intimate partners, and playing violent games.
“They also tend to engage in antisocial online behaviors such as cyberbullying, trolling, cyberstalking intimate partners, and playing violent games [9,20,32].”
From Dark Personality Traits and Online Behaviors: Portuguese Versions of Cyberstalking, Online Harassment, Flaming and Trolling Scales (2023) · cites this paper as [20]
The Introduction and I-PACE theoretical-background passages discuss personality and problematic Internet use, but do not address psychopathic individuals engaging in the listed antisocial behaviors. Searches for psychopathy, cyberbullying, trolling, cyberstalking intimate partners, and violent games found no passage supporting that association. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Narcissism is associated with a great involvement with problematic use of the Internet and social networks.
“Narcissism is associated with a great involvement with problematic use of the Internet and social networks [20,32,38,39].”
From Dark Personality Traits and Online Behaviors: Portuguese Versions of Cyberstalking, Online Harassment, Flaming and Trolling Scales (2023) · cites this paper as [20]
The Introduction discusses problematic Internet and social-network use, but does not link either to narcissism. Searches for narcissism and narcissistic traits found the term in reference titles, not in a passage reporting the claimed association; no page numbers were provided in our copy. (LLM, conf=0.75)
Experimental — accuracy not yet measuredPsychopathy is associated with emotional dysregulation and a low level of positive mood.
“In turn, psychopathy is associated with emotional dysregulation and a low level of positive mood.”
From Dark Personality Traits and Online Behaviors: Portuguese Versions of Cyberstalking, Online Harassment, Flaming and Trolling Scales (2023) · cites this paper as [20]
The Theoretical Background discusses neuroticism and negative mood in the context of Internet-use disorders, while the Results examine Big Five traits, self-liking, and Instagram addiction. Searches for psychopathy, emotional dysregulation, and positive mood found no passage linking psychopathy to either claimed characteristic in our copy; page numbers are unavailable. (LLM, conf=0.78)
Experimental — accuracy not yet measuredPsychopathy has been associated with cyberbullying, trolling, intimate partner cyberbullying, and violent gaming.
“Psychopathy has been associated with cyberbullying, trolling, intimate partner cyberbullying, and violent gaming [9,20,32].”
From Dark Personality Traits and Online Behaviors: Portuguese Versions of Cyberstalking, Online Harassment, Flaming and Trolling Scales (2023) · cites this paper as [20]
The Introduction and the I-PACE theoretical-background section discuss personality and problematic Internet use, but do not link psychopathy to the behaviors claimed. Searches of our copy for psychopathy, cyberbullying, trolling, and violent gaming found no passage addressing those associations; the section’s mention of “psychopathology” is not evidence about psychopathy. (LLM, conf=0.76)
Experimental — accuracy not yet measuredMachiavellianism has been associated with problematic network use, trolling with online games, and online self-promotion.
“For example, Machiavellianism has been associated with problematic network use, trolling with online games, and online self-promotion, which is consistent with the explanation given by other studies indicating that this correlation is expected, as Machiavellianism manipulative behavior can be shown to be problematic on the Internet, being violent and controlling [2,20,37].”
From Dark Personality Traits and Online Behaviors: Portuguese Versions of Cyberstalking, Online Harassment, Flaming and Trolling Scales (2023) · cites this paper as [20]
The Introduction discusses personality traits and problematic use of online applications generally, but does not connect Machiavellianism to network use, gaming-related trolling, or self-promotion. Searches for “Machiavellianism” and “trolling online games” found no passage addressing those associations in our copy; page numbers were unavailable. (LLM, conf=0.76)
Experimental — accuracy not yet measuredDimensions of the dark personality triad play an important role in Internet and social network addiction.
“The results of this study have theoretical and practical implications, since, on the one hand, they reinforces the findings of other studies showing that dimensions of the dark personality triad play an important role in Internet and social network addition [20,21], contributing to the literature;”
From Dark Personality Traits and Online Behaviors: Portuguese Versions of Cyberstalking, Online Harassment, Flaming and Trolling Scales (2023) · cites this paper as [20]
The theoretical-background section links personality traits generally to Internet-use disorders, and the Results report associations between Big Five traits and Instagram addiction. Neither the supplied passages nor searches for “dark triad,” narcissism, Machiavellianism, and psychopathy address whether dark-triad dimensions play a role in Internet or social-network addiction. Our copy therefore does not verify the specific claim. (LLM, conf=0.73)
Experimental — accuracy not yet measured
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.
Conflicting direct-effect estimates for agreeableness
MinorThe results text reports a standardized direct effect of −0.16 for agreeableness on Instagram addiction, while Table 4 reports −0.17 for the same direct effect.
“agreeableness (β = −.16, p < .05; 95% CI [−0.26, −0.05])”
“| Agreeableness → IA (direct effect) | | −0.17** | 0.06 | 90 |”
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“On the contrary, individuals with lower self-liking may be expected to have higher levels of depression (Wilkinson, 2010), which is positively associated with social media addiction (Andreassen et al., 2016; Kırcaburun, 2016b), to be uncomfortable in social settings and to experience attachment issues with their peers…”
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Tian, Y., Zhao, Y., Lv, F., Qin, N., & Chen, P. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.654825 · Cited by 30 · see citing works
Mak, K. K., Scheer, B., Yeh, C.-H., Ohno, S., & Nam, J. K. (2021) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2021.0071 · Cited by 29 · see citing works
The interplay of the Dark Triad and social media use motives to social media disorder
Tang, W. Y., Reer, F., & Quandt, T. (2021) · Personality and Individual Differences · doi:10.1016/j.paid.2021.111402 · Cited by 32 · see citing works
Allahverdi, F. Z. (2022) · Psychology in the Schools · doi:10.1002/pits.22662 · Cited by 28 · see citing works
The Relationship between Social Media Use and Body Image in Lebanese University Students
Karam, J., Bouteen, C., Mahmoud, Y., Tur, J. A., & Bouzas, C. (2023) · Nutrients · doi:10.3390/nu15183961 · Cited by 29 · see citing works
The Development of the Turkish Social Media Craving Scale (SMCS): a Validation Study
Savcı, M., & Griffiths, M. D. (2019) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-019-00062-9 · Cited by 27 · see citing works
Self-citationBrailovskaia, J., & Margraf, J. (2022) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2022.100374 · Cited by 26 · see citing works
Hatamleh, I. H. M., Safori, A. O., Ahmad, A. K., & Al-Etoum, N. M. I. (2023) · Social Sciences · doi:10.3390/socsci12040228 · Cited by 35 · see citing works
Study addiction and ‘dark’ personality traits: a cross-sectional survey study among emerging adults
Kırcaburun, K., Süral, İ., March, E., Balta, S., Emirtekin, E., & Griffiths, M. D. (2021) · Journal of Addictive Diseases · doi:10.1080/10550887.2021.1872469 · Cited by 25 · see citing works
Self-citationSindermann, C., Montag, C., & Elhai, J. D. (2022) · Technology Mind and Behavior · doi:10.1037/tmb0000096 · Cited by 24 · see citing works
Instagram Use and Mental Well-Being
Stefana, A., Dakanalis, A., Mura, M., Colmegna, F., & Clerici, M. (2022) · The Journal of Nervous and Mental Disease · doi:10.1097/nmd.0000000000001577 · Cited by 24 · see citing works
Hussain, Z., Kırcaburun, K., Savcı, M., & Griffiths, M. D. (2023) · Journal of Concurrent Disorders · doi:10.54127/aojw5819 · Cited by 23 · see citing works
Self-citationMeynadier, J., Malouff, J. M., Schutte, N. S., & Loi, N. M. (2024) · Current Psychology · doi:10.1007/s12144-024-06052-y · Cited by 26 · see citing works
Use of Instagram by Pre-Service Teacher Education: Smartphone Habits and Dependency Factors
Rodríguez, J. M. R., Jiménez, C. R., Navas-Parejo, M. R., Marín, J. A. M., & García, G. G. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17114097 · Cited by 23 · see citing works
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Shadiev, R., Liu, J., & Cheng, P.-Y. (2023) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2023.3243721 · Cited by 22 · see citing works
Does Social Media Addiction Differ by Personality Traits? A Study on Undergraduate Tourism Students
Tekin, Ö. A., & Turhan, A. A. (2021) · Journal of Tourism and Services · doi:10.29036/jots.v12i22.220 · Cited by 23 · see citing works
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“For its part, narcissism is associated with online self-promotion behaviors and trying to be more popular, which can cause problematic Internet use [20,32,38,39]; this coincides with our results.”
BackgroundResultInfluentialUnderstanding Motives, Usage Patterns and Effects of Instagram Use in Youths: A Qualitative Study
Saletti, S. M. R., den Broucke, S. V., & Beggelaer, W. V. (2022) · Emerging Adulthood · doi:10.1177/21676968221114251 · Cited by 26 · see citing works
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Differentiating Problematic from Habitual Instagram Use: A Uses and Grats 2.0 Perspective
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Olumlu ve Olumsuz Dini Başa Çıkma, Sosyal Medya Bağımlılığı ve Yalnızlık İlişkisi
Korkmaz, S. (2021) · Tasavvur / Tekirdağ İlahiyat Dergisi · doi:10.47424/tasavvur.883693 · Cited by 20 · see citing works
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Infant Safe Sleep Practices as Portrayed on Instagram: Observational Study
Chin, S., Carlin, R. F., Mathews, A., & Moon, R. Y. (2021) · JMIR Pediatrics and Parenting · doi:10.2196/27297 · Cited by 18 · see citing works
- Authors
- Kircaburun, K., & Griffiths, M. D.
- Affiliations
- Faculty of Education, Department of Computer and Instructional Technologies, Duzce University, Duzce, Turkey
- Nottingham Trent University (GB)
- ORCID
- Griffiths, Mark D.
- Venue
- Journal of Behavioral Addictions
- Publisher
- Akademiai Kiado Zrt.
- Published
- 2018-02-19
- Volume
- 7
- Issue
- 1
- Pages
- 158-170
- ISSN
- 2062-5871 (ISSN-L)
- 2063-5303
- PMC
- PMC6035031
- OpenAlex
- W2788268593
- Semantic Scholar
- 9b12d4efdf354657ae6d457c7ea907bba4b242be
- Cited by
- 342
- References
- 86
- Citations by year
- 2026: 22 · 2025: 48 · 2024: 41 · 2023: 48 · 2022: 65 · 2021: 53 · 2020: 41 · 2019: 15 · 2018: 8
- FWCI
- 66.55
- Type
- journal article
- Language
- en
- Update notices
- correction (2026-05-20)
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Behavioral Addictions (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (acceptedVersion)
- Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) (acceptedVersion)
- DSpace - Düzce (Duzce University) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Keywords
- Instagram addiction, Big Five personality traits, self-liking, agreeableness, conscientiousness, daily internet use, mediation, university students
- MeSH terms
- Adolescent, Cross-Sectional Studies, Female, Humans, Male, Models, Psychological, Personality, Personality Tests, Photography, Psychiatric Status Rating Scales, Self Concept, Prevalence, Behavior, Addictive, Young Adult, Self Report, Social Media
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