Addictive Features of Social Media/Messenger Platforms and Freemium Games against the Background of Psychological and Economic Theories
Open accessAbstract
Currently about 2.71 billion humans use a smartphone worldwide. Although smartphone technology has brought many advances, a growing number of scientists discuss potential detrimental effects due to excessive smartphone use. Of importance, the likely culprit to understand over-usage is not the smartphone itself, but the excessive use of applications installed on smartphones. As the current business model of many app-developers foresees an exchange of personal data for allowance to use an app, it is not surprising that many design elements can be found in social media apps and Freemium games prolonging app usage. It is the aim of the present work to analyze several prominent smartphone apps to carve out such elements. As a result of the analysis, a total of six different mechanisms are highlighted to illustrate the prevailing business model in smartphone app development. First, these app-elements are described and second linked to classic psychological/economic theories such as the mere-exposure effect, endowment effect, and Zeigarnik effect, but also to psychological mechanisms triggering social comparison. It is concluded that many of the here presented app-elements on smartphones are able to prolong usage time, but it is very hard to understand such an effect on the level of a single element. A systematic analysis would require insights into app data usually only being available for the app-designers, but not for independent scientists. Nevertheless, the present work supports the notion that it is time to critically reflect on the prevailing business model of ‘user data in exchange for app-use allowance’. Instead of using a service in exchange for data, it ultimately might be better to ban or regulate certain design elements in apps to come up with less addictive products. Instead, users could pay a reasonable fee for an app service.
AI snapshot
Written from the paper’s full text.
TL;DR
This theoretical paper analyzes prominent social media/messenger apps and Freemium games to identify six design mechanisms likely intended to prolong usage, linking them to psychological and economic theories. It argues that these elements may contribute to addictive app use, but independent scientists lack the platform data needed to quantify their individual or interactive effects.
Key findings
- The paper highlights six mechanisms: endless scrolling/streaming and flow; endowment/mere exposure effects; social pressure; showing users what they like; social comparison and social reward; and the Zeigarnik/Ovsiankina effect.
- It cites about 2.71 billion smartphone users worldwide, WhatsApp at about 1.5 billion users, and a German sample in which about 30% of daily smartphone use was accounted for by WhatsApp and Facebook.
- Candy Crush Saga is reported as downloaded 2.7 billion times in five years, and U.S. gamers in early 2016 played an average of 3.6 mobile games per month and 1.3 daily.
- The paper notes overlap between Smartphone Use Disorder and WhatsApp Use Disorder (rho = 0.68) and discusses neural reward findings, including stronger ventral striatum activity for Instagram pictures with many “Likes.”
Methods
- This is not a systematic review; it is a theoretical/conceptual analysis of prominent apps such as Facebook, WhatsApp, and Candy Crush.
- The authors present six app features in alphabetic order and link them to classic psychological/economic theories, including flow, endowment effect, mere exposure effect, nudging, social comparison, and Zeigarnik/Ovsiankina effects.
- No primary empirical data collection or statistical modeling is reported; the work synthesizes prior literature and examples.
Limitations
- The paper states it is theoretical and that its assumption that mechanisms were purely designed to prolong usage is speculative; it also notes that developers’ intentions cannot be known for sure.
- It states that independent scientists usually lack access to platform data from Facebook or Candy Crush Saga, making it hard to study how strongly each feature affects usage time or how features interact.
- Evident from the text: the analysis is not systematic, does not empirically test the proposed mechanisms, and relies on selected examples and prior literature rather than controlled app-level data.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 65 cited sources checked · 0 supported · 0 flagged
- Interpretationreasoning
Flow can be 'fatal' in the case of applications on smartphones or other ubiquitous devices when attention should be focused elsewhere.
“Flow is needed and warranted in different kinds of work processes, however, it can actually be ‘fatal’ in the case of applications on the smartphone or other ‘ubiquitous’ devices, when attention should be focused somewhere else”
Quote in the paperSubstantial claim - Interpretationcitation
Users on WhatsApp are nudged to communicate fast and often due to the double tick function.
“Users on WhatsApp are nudged (to encourage someone to do something in a way that is gentle rather than forceful or direct [59]) to communicate fast and often on WhatsApp due to the ‘double tick function’.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [59] Thaler, R., and Sunstein, C. (2008). Improving Decisions about Health, Wealth and Happiness, Yale University Press. Penguin Books.
Not checked in the free run.
- Interpretationcitation
The mere exposure effect is applicable to many gaming or social media apps.
“Also, of importance is the mere exposure effect [56]. The mere exposure effect describes that the more often you are exposed to a certain (neutral) thing or application (here a game), the more you like it. This has even been shown for the initials of your name (for an introduction in the initial preference task, e.g., see Sariyska et al. [57]) and seems to be applicable also for many of the gaming”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [56] Zajonc, 2001, Mere Exposure: A Gateway to the Subliminal, Curr. Dir. Psychol. Sci. source
Not checked in the free run.
- cites Sariyska et al. [57] Sariyska, 2014, Self-Esteem, Personality and Internet Addiction: A Cross-Cultural Comparison Study, Personal. Individ. Differ. source
Not checked in the free run.
- Interpretationreasoning
Many design elements in social media apps and Freemium games, including the presented app-elements, are able to prolong app usage.
“many design elements can be found in social media apps and Freemium games prolonging app usage”
- Also stated in: § 4. Discussion · boosted
“The depicted elements/features embedded in psychological and economic theory underline the notion that these elements indeed have been designed to prolong app usage.”
Quote in the paperSubstantial claim- Rests on an assumption: The prevailing business model of many app developers exchanges personal data for allowance to use an app.
- Also stated in: § 4. Discussion · boosted
- Premisecitation
The concepts of SUD and WhatsApp Use Disorder overlap in large parts, with a correlation of rho = 0.68.
“Moreover, a recent work by Sha et al. [28] showed that the concepts of SUD and WhatsApp Use Disorder overlap in large parts (correlation of rho = 0.68).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sha et al. [28] Sha, 2019, Linking Internet Communication and Smartphone Use Disorder by Taking a Closer Look at the Facebook and WhatsApp Applications, Addict. Behav. Rep.
Not checked in the free run.
- Premisecitation
About 30% of daily smartphone use is accounted for by WhatsApp and Facebook usage in a German sample mainly ranging between about 15 and 35 years.
“In a work by Montag et al. [35] it has been demonstrated that about 30% of daily smartphone use is accounted for by WhatsApp and Facebook usage in a German sample mainly ranging between ca. 15 and 35 years.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Montag et al. [35] Montag, C., Błaszkiewicz, K., Sariyska, R., Lachmann, B., Andone, I., Trendafilov, B., Eibes, M., and Markowetz, A. (2015). Smartphone Usage in the 21st Century: Who Is Active on WhatsApp?. BMC Res. Notes, 8. source
Not checked in the free run.
- Premisereasoning
With an increasing amount of data, revenues tend to rise due to more effective microtargeting.
“With an increasing amount of data, revenues tend to rise, due to more effective microtargeting (i.e., sending a person customized ads).”
Quote in the paperNot a substantial claim - Premisecitation
Only few studies until now aim to understand why specific online applications and their in-built elements are potentially addictive.
“Although, the different strains of research presented so far in Section 1 led to valuable insights into the nature of IUDs, only few studies until now aim to understand why specific online applications and their in-built elements are potentially addictive [44,45].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [44] King, 2011, The Role of Structural Characteristics in Problematic Video Game Play: An Empirical Study, Int. J. Ment. Health Addict. source
Not checked in the free run.
- cites [45] Alutaybi, 2018, Designing Social Networks to Combat Fear of Missing Out, Proc. Br. HCI
Not checked in the free run.
- Premisecitation
The likely culprit for excessive smartphone use is not the smartphone itself but the excessive use of applications installed on smartphones.
“Correctly, it has been pointed out, that the smartphone does not represent the culprit to understand excessive use of this device [28,29]. Instead one must focus on the manifold installed applications on the smartphones to understand why people are getting ‘hooked’ to their devices [30].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [28] Sha, 2019, Linking Internet Communication and Smartphone Use Disorder by Taking a Closer Look at the Facebook and WhatsApp Applications, Addict. Behav. Rep.
Not checked in the free run.
- cites [29] Leung, H., Pakpour, A.H., Strong, C., Lin, Y.C., Tsai, M.C., Griffiths, M.D., Lin, C.-Y., and Chen, I.H. (2019). Measurement invariance across young adults from Hong Kong and Taiwan among three internet-related addiction scales: Bergen Social Media Addiction Scale (BSMAS), Smartphone Application-Based Addiction Scale (SABAS), and Internet Gaming Disorder Scale-Short Form (IGDS-SF9) (Study Part A). Addict. Behav. source
Not checked in the free run.
- cites [30] Alter, A. (2017). Irresistible: The Rise of Addictive Technology and the Business of Keeping Us Hooked, Penguin Press.
Not checked in the free run.
- Interpretationreasoning
Endless scrolling/streaming is a technique used to prolong usage time.
“One technique used to prolong usage time in this context is the endless scrolling/streaming feature.”
Quote in the paperSubstantial claim - Interpretationreasoning
It is very hard to understand the effect of prolonging usage on the level of a single app element.
“It is concluded that many of the here presented app-elements on smartphones are able to prolong usage time, but it is very hard to understand such an effect on the level of a single element.”
Quote in the paperNot a substantial claim - Premisecitation
App developers have a keen interest in designing their online platforms with the goal to keep users occupied as long as possible.
“Consequently, app developers have a keen interest in designing their online platforms with the goal to keep users occupied as long as possible [30].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [30] Alter, A. (2017). Irresistible: The Rise of Addictive Technology and the Business of Keeping Us Hooked, Penguin Press.
Not checked in the free run.
- Rests on an assumption: The prevailing business model of many app developers exchanges personal data for allowance to use an app.
- Premisecitation
Personalized ads can boost clicks and buys.
“This is also shown by Matz et al. [46] demonstrating how clicks and buys can be boosted by the use of personalized ads.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Matz et al. [46] Matz, 2017, Psychological Targeting as an Effective Approach to Digital Mass Persuasion, Proc. Natl. Acad. Sci. USA source
Not checked in the free run.
- Premisecitation
Many developers of social media apps and Freemium games aim to achieve a person being so immersed that he or she forgets time and space while using a platform or app.
“It is well known that flow goes along with a feeling of time distortion and this is exactly what many developers of social media apps and Freemium games aim to achieve—a person being so immersed that he or she is forgetting about time and space while using a platform or app (cf., [30,49,50]).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [30] Alter, A. (2017). Irresistible: The Rise of Addictive Technology and the Business of Keeping Us Hooked, Penguin Press.
Not checked in the free run.
- cites [49] Montag, 2015, Recorded Behavior as a Valuable Resource for Diagnostics in Mobile Phone Addiction: Evidence from Psychoinformatics, Behav. Sci. source
Not checked in the free run.
- cites [50] Rau, 2006, Time Distortion for Expert and Novice Online Game Players, CyberPsychol. Behav. source
Not checked in the free run.
- Interpretationreasoning
The behavior of endless scrolling is enhanced because the user finds from time to time something rewarding, consistent with intermittent conditioning principles.
“The behavior of endless scrolling is enhanced, because the user finds from time to time something rewarding (e.g., a funny or interesting video), hence intermittent conditioning principles are observed here (see also research on intermittent conditioning principles in the context of slot machine mechanisms by Harrigan & Dixon [52]).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Harrigan & Dixon [52] Harrigan, K.A., and Dixon, M. (2009). PAR Sheets, Probabilities, and Slot Machine Play: Implications for Problem and Non-Problem Gambling. J. Gambl. Issues, 81. source
Not checked in the free run.
- Interpretationcitation
A link between features such as double ticks and Fear of Missing Out (FoMO) can be established.
“Clearly also a link between features such as the double ticks and the concept of Fear of Missing Out (FoMO) can be established, with FoMO describing the anxiety/fear to miss something in one’s own social network [28,62].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [28] Sha, 2019, Linking Internet Communication and Smartphone Use Disorder by Taking a Closer Look at the Facebook and WhatsApp Applications, Addict. Behav. Rep.
Not checked in the free run.
- cites [62] Przybylski, 2013, Motivational, Emotional, and Behavioral Correlates of Fear of Missing Out, Comput. Hum. Behav. source
Not checked in the free run.
- Interpretationreasoning
Processes of social comparison play an important role for revisiting social media platforms because a person gets information on how he or she is perceived by their social network.
“Beyond that, processes of social comparison also play an important role for revisiting social media platforms because a person gets information on how he/she is perceived by their social network.”
Quote in the paperSubstantial claim - Interpretationcitation
The problems persons have in assessing their smartphone consumption are probably due to time distortions.
“and this is probably due to time distortions [49,101].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [49] Montag, 2015, Recorded Behavior as a Valuable Resource for Diagnostics in Mobile Phone Addiction: Evidence from Psychoinformatics, Behav. Sci. source
Not checked in the free run.
- cites [101] Lin, 2015, Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (App), J. Psychiatr. Res. source
Not checked in the free run.
- Premisecitation
Several studies have demonstrated that social media/messenger and Freemium game applications are important drivers of excessive smartphone usage.
“Such a focus is warranted because several studies already demonstrated that these applications are important drivers of (excessive) smartphone usage (literature on social media/messenger applications and smartphone usage [28,97,98]; literature on gaming and smartphone usage [29,99,100].”
Quote in the paperSubstantial claim0 of 6 sources checked- cites [28] Sha, 2019, Linking Internet Communication and Smartphone Use Disorder by Taking a Closer Look at the Facebook and WhatsApp Applications, Addict. Behav. Rep.
Not checked in the free run.
- cites [97] Haug, 2015, Smartphone use and smartphone addiction among young people in Switzerland, J. Behav. Addict. source
Not checked in the free run.
- cites [98] Blau, 2016, Cross-generational analysis of predictive factors of addictive behavior in smartphone usage, Comput. Hum. Behav. source
Not checked in the free run.
- cites [29] Leung, H., Pakpour, A.H., Strong, C., Lin, Y.C., Tsai, M.C., Griffiths, M.D., Lin, C.-Y., and Chen, I.H. (2019). Measurement invariance across young adults from Hong Kong and Taiwan among three internet-related addiction scales: Bergen Social Media Addiction Scale (BSMAS), Smartphone Application-Based Addiction Scale (SABAS), and Internet Gaming Disorder Scale-Short Form (IGDS-SF9) (Study Part A). Addict. Behav. source
Not checked in the free run.
- cites [99] Griffiths, 2018, Mobile gaming and problematic smartphone use: A comparative study between Belgium and Finland, J. Behav. Addict. source
Not checked in the free run.
- cites [100] Kuss, 2017, Self-reported dependence on mobile phones in young adults: A european cross-cultural empirical survey, J. Behav. Addict. source
Not checked in the free run.
- Premisecitation
A growing number of studies support associations between SUD and negative emotionality.
“Although it is not clear what is hen and what is egg in this work (hence the direction of causality), a growing number of studies indeed support such associations with further demonstrating robust links between SUD and negative emotionality [5].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [5] Elhai, J.D., Yang, H., and Montag, C. (2019). Cognitive- and Emotion-Related Dysfunctional Coping Processes: Transdiagnostic Mechanisms Explaining Depression and Anxiety’s Relations with Problematic Smartphone Use. Curr. Addict. Rep. source
Not checked in the free run.
- Premisecitation
Instagram users' own pictures presented with many Likes elicit stronger activity in the ventral striatum than pictures with few Likes.
“The power of such feedback has also been proven neuroscientifically, when Instagram users are confronted with their own posted pictures from their account which were manipulated by being presented either with many or few ‘Likes’ (in this case hearts [74]). Pictures being presented with many Likes elicit stronger activity in the ventral striatum, an area involved of the processing of a rewards [74,”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [74] Sherman, 2016, The Power of the Like in Adolescence: Effects of Peer Influence on Neural and Behavioral Responses to Social Media, Psychol. Sci. source
Not checked in the free run.
- cites [75] Sherman, 2018, Peer Influence via Instagram: Effects on Brain and Behavior in Adolescence and Young Adulthood, Child Dev. source
Not checked in the free run.
- Premisecitation
Persons have problems in assessing their smartphone consumption.
“it has been demonstrated that persons have problems in assessing their smartphone consumption”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [49] Montag, 2015, Recorded Behavior as a Valuable Resource for Diagnostics in Mobile Phone Addiction: Evidence from Psychoinformatics, Behav. Sci. source
Not checked in the free run.
- cites [101] Lin, 2015, Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (App), J. Psychiatr. Res. source
Not checked in the free run.
- Interpretationreasoning
System design of apps nudges a person to behave in a certain direction.
“In sum, system design of apps nudges a person to behave in a certain direction.”
Quote in the paperSubstantial claim - Interpretationreasoning
Implementing such elements in a smartphone-app will contribute to a more addictive nature of apps.
“Implementing such elements in a smartphone-app will also contribute to a more addictive nature of apps.”
Quote in the paperSubstantial claim - Interpretationreasoning
These insights mirror in the design of Freemium games such as Candy Crush Saga.
“These insights mirror in the design of Freemium games such as Candy Crush Saga.”
Quote in the paperSubstantial claim - Premisecitation
SUD has been associated with loneliness.
“From our perspective, it is of tremendous importance to further study such in-built elements, because SUD has been associated with loneliness [85].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [85] Bian, 2015, Linking loneliness, shyness, smartphone addiction symptoms, and patterns of smartphone use to social capital, Soc. Sci. Comput. Rev. source
Not checked in the free run.
- Interpretationreasoning
The Newsfeed is a strong feature for prolonging usage time on social media platforms.
“A strong feature for prolonging usage time on social media platforms is the prominent ‘Newsfeed’ as built-in in the Facebook application.”
Quote in the paperNot a substantial claim - Premisecitation
The 'thumbs up' (Like) is one of the most prominent features of social reward mechanisms in social media.
“Perhaps one of the most prominent features of social reward mechanisms in social media is the iconic ‘thumbs up’ (giving or getting a ‘Like’; (co-)developed by Justin Rosenstein, former worker at Facebook; see also independent.co.uk [73]).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [73] (2019, April 03). Man Who Invented ‘Like’ Button Deletes Facebook App over Addiction Fears. Available online: https://www.independent.co.uk/life-style/gadgets-and-tech/facebook-like-inventor-deletes-app-iphone-justin-rosenstein-addiction-fears-a7986566.html.
Not checked in the free run.
- Premisecitation
Several other studies observed that lower gray matter volumes were associated with higher addictive tendencies.
“Additionally, several other studies observed that lower gray matter volumes were associated with higher addictive tendencies [77,78].”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Lower gray matter volumes of the nucleus accumbens are associated with longer and higher frequent usage of the Facebook app on smartphones.
“It has even been demonstrated that lower gray matter volumes of the nucleus accumbens are associated with longer and higher frequent usage of the Facebook app on smartphones underlining its addictive power [76].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [76] Montag, 2017, Facebook Usage on Smartphones and Gray Matter Volume of the Nucleus Accumbens, Behav. Brain Res. source
Not checked in the free run.
- Interpretationreasoning
The elements of the apps investigated in the paper, described against psychological and economic theories, all likely prolong usage times.
“Although it needs to be tested further, the here investigated elements of the apps described against psychological and economic theories all likely prolong usage times.”
Quote in the paperSubstantial claim - Interpretationreasoning
The relevant mechanisms/features in apps are likely designed or intended to prolong app usage time.
“The present work is of theoretical nature and carved out relevant mechanisms likely being designed to prolong usage time of app-services dominating everyday life.”
- Also stated in: § 5. Limitations and Changes of the Current Business Model in Apps? · hedged
“it is very likely that the main intention of implementing features as introduced above in an application, represents the prolongation of app usage”
Quote in the paperSubstantial claim- The authors state this as an assumption: The mechanisms have been purely designed to prolong usage time of an app.
- Rests on an assumption: Companies such as Facebook and Google earn their money with data.
- Also stated in: § 5. Limitations and Changes of the Current Business Model in Apps? · hedged
- Premisecitation
The endowment effect plays a role with online products.
“a recent study [102] also found empirical support for the endowment effect indeed playing also a role with online products.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [102] Fritze, 2019, Digital transformation and possession attachment: Examining the endowment effect for consumers’ relationships with hedonic and utilitarian digital service technologies, Electron. Commer. Res. source
Not checked in the free run.
- May combine two claims. 22
- Classified as probably not a substantial claim. 15
May combine two claims.
PremisecitationThe double tick process is known to undermine well-being and might in parts be responsible for rising social concerns when people start to use smartphones.
“This process is also known to undermine well-being [60] and might in parts be responsible for rising social concerns when people start to use smartphones [61].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [60] Blabst, N., and Diefenbach, S. (2017, January 3–6). WhatsApp and Wellbeing: A Study on WhatsApp Usage, Communication Quality and Stress. Proceedings of the 31st British Computer Society Human Computer Interaction Conference, Sunderland, UK. source
Not checked in the free run.
- cites [61] Hadar, A., Hadas, I., Lazarovits, A., Alyagon, U., Eliraz, D., and Zangen, A. (2017). Answering the Missed Call: Initial Exploration of Cognitive and Electrophysiological Changes Associated with Smartphone Use and Abuse. PLoS ONE, 12. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAccording to statista.com, in early 2016 U.S. gamers played an average of 3.6 mobile games per month and 1.3 games on a daily basis.
“According to statista.com, “In early 2016 … U.S. gamers played an average of 3.6 mobile games per month, and 1.3 games on a daily basis” [36].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] Statista (2019, April 03). Available online: https://www.statista.com/topics/1906/mobile-gaming/.
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenThe endowment effect and mere exposure effect play important roles in the areas of social media and games.
“The endowment and the mere exposure effect play important roles in the areas of social media and games.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningBy endlessly scrolling down, the user gets more immersed while not coming to a natural stop where he or she might reconsider to quit or change the platform.
“By endlessly scrolling down, the user is getting more and more immersed (perhaps also on a motor level as perceiving the scrolling as a playful activity) while not coming to a natural stop, where he/she might easily reconsider to quit or change the platform.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningAs both sides know the double tick rules, social pressure emerges and both parties likely expect a fast answer, especially if the message has been read.
“As both sides know about these rules, social pressure emerges. Both parties likely expect a fast answer, above all, if the message apparently has been read.”
Quote in the paperSubstantial claimMay combine two claims.
Premisenone givenIn Hayday, progress without investing money is very slow, with scarce rewards after initial fast progress.
“As with other games, progress without investing money is very slow, which means that after some fast progress at the beginning of the game (to attract people to the game), rewards in terms of the urgently needed relevant game currency are scarce.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe power of defaults is a well-known principle applicable to decision making in many areas, especially software applications.
“In general, the ‘power of defaults’ is a well-known principle applicable to decision making in many different areas and especially in software applications [63,64].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [63] Dinner, 2011, Partitioning Default Effects: Why People Choose Not to Choose, J. Exp. Psychol. Appl. source
Not checked in the free run.
- cites [64] Kesan, 2006, Setting Software Defaults: Perspectives from Law, Computer Science and Behavioral Economics, Notre Dame Law Rev.
Not checked in the free run.
May combine two claims.
InterpretationreasoningIn smartphone games, every time players invest more time in constructing the virtual world, it becomes harder for them to detach from the game or delete the app, especially if progress has been slow and took a long time.
“In the context of smartphone games, this plays out as follows: every time players visit the app platform and invest more time in the construction of the virtual world, it will get harder for them to detach from the game or even delete the app. This is in particular the case, if the progress has been slow and it took the users a very long time to construct the online world.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationnone givenApp and platform technologies are designed to be immersive, producing flow while using a certain app.
“App and platform technologies are designed to be immersive, hence producing flow while using a certain app.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThere is overlap between SUD and excessive social media use, and links between SUD and (Internet) Gaming Disorder.
“A new work underlines the overlap between SUD and excessive social media use, but also links between SUD and (Internet) Gaming Disorder [29].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Leung, H., Pakpour, A.H., Strong, C., Lin, Y.C., Tsai, M.C., Griffiths, M.D., Lin, C.-Y., and Chen, I.H. (2019). Measurement invariance across young adults from Hong Kong and Taiwan among three internet-related addiction scales: Bergen Social Media Addiction Scale (BSMAS), Smartphone Application-Based Addiction Scale (SABAS), and Internet Gaming Disorder Scale-Short Form (IGDS-SF9) (Study Part A). Addict. Behav. source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
PremisereasoningFreemium games are relevant for investigating elements of apps built to prolong usage time because such games most often run with the business model of 'gaming service in exchange for your data'.
“Freemium games are very relevant for the present work investigating elements of apps built to prolong usage time, because such games most often run with the business model of ‘gaming service in exchange for your data’.”
Quote in the paperNot a substantial claim- Rests on an assumption: The prevailing business model of many app developers exchanges personal data for allowance to use an app.
Probably not a substantial claim: may not pass S4 (based).
InterpretationreasoningA systematic analysis of app elements would require insights into app data usually only available to app-designers, not independent scientists.
“A systematic analysis would require insights into app data usually only being available for the app-designers, but not for independent scientists.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenThe default mode of WhatsApp comes with the double tick function activated, and most users do not know they can deactivate it.
“The default mode of WhatsApp comes with the ‘double tick function’ being activated. Most users do not know that they are able to deactivate this app-feature.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationThe effect of body image avoidance is likely driven by social comparison processes, particularly when a person is confronted with thin models or other attractive persons, and might be stronger on Instagram and for users with low self-esteem and being female.
“The latter effect is likely driven by social comparison processes, in particular when a person is confronted with thin models or other (thin) attractive persons [90]. These effects might be in particular strong on platforms such as Instagram and for those users with low self-esteem [91] and being female [92,93].”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [90] Brown, 2016, Attractive celebrity and peer images on Instagram: Effect on women’s mood and body image, Body Image source
Not checked in the free run.
- cites [91] Ahadzadeh, 2017, Self-schema and self-discrepancy mediate the influence of Instagram usage on body image satisfaction among youth, Comput. Hum. Behav. source
Not checked in the free run.
- cites [92] Cohen, 2017, The relationship between Facebook and Instagram appearance-focused activities and body image concerns in young women, Body Image source
Not checked in the free run.
- cites [93] Meier, 2014, Facebook photo activity associated with body image disturbance in adolescent girls, Cyberpsychol. Behav. Soc. Netw. source
Not checked in the free run.
May combine two claims.
InterpretationcitationSocial comparison might lead to lower self-esteem, and the size of one's real social network to be successfully handled seems limited by Dunbar's number, likely also valid on social media channels such as Twitter.
“Without doubt, the social comparison process is not unproblematic, because it might lead to lower self-esteem [79] and the size of one’s own real social network to be successfully handled seems to be limited by the so called Dunbar’s number (a theoretical limit to the number of people with whom any individual is able to sustain a stable or meaningful social relationship, usually considered to be”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [79] Vogel, 2014, Social Comparison, Social Media, and Self-Esteem, Psychol. Pop. Media Cult. source
Not checked in the free run.
- cites [80] Dunbar, R. (2010). How Many Friends Does One Person Need? Dunbar’s Number and Other, Faber & Faber. source
Not checked in the free run.
- cites [81] Gonçalves, B., Perra, N., and Vespignani, A. (2011). Modeling Users’ Activity on Twitter Networks: Validation of Dunbar’s Number. PLoS ONE, 6. source
Not checked in the free run.
May combine two claims.
PremisecitationFacebook developed machine learning algorithms that record what people like and how long they hover over posts, and textmining enables sentiment analysis.
“Over the years, Facebook developed machine learning algorithms studying the behavior of their users in detail on the platform. In order to get to know their users better, they do not only record what people ‘like’ (i.e., give a ‘thumbs up’) but also how long they hover over a certain post. This could be interpreted as showing a special interest in a certain area. ‘Textmining’ enables Facebook & Co”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [67] Eichstaedt, 2018, Facebook Language Predicts Depression in Medical Records, Proc. Natl. Acad. Sci. USA source
Not checked in the free run.
- cites [68] Kramer, 2014, Experimental Evidence of Massive-Scale Emotional Contagion through Social Networks, Proc. Natl. Acad. Sci. USA source
Not checked in the free run.
- cites [69] Schwartz, H.A., Eichstaedt, J., Kern, M.L., Park, G., Sap, M., Stillwell, D., Kosinski, M., and Ungar, L. (, January June). Towards Assessing Changes in Degree of Depression through Facebook. Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, Baltimore, MD, USA.
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
InterpretationreasoningFacebook has a great interest in studying each person's behavior in detail so that only the most interesting information is presented in the Newsfeed, because otherwise people could get bored and close the browser window.
“Facebook has a great interest in studying the behavior of each person at perfection and in much detail, so that at best only such information is presented in the ‘Newsfeed’ which is most interesting for the user. Otherwise, people could get bored and close the browser window.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationThese classic works suggest that individuals involved in high investment tasks react with emotional strain if interrupted, and final completion removes this strain.
“In sum, these classic works from the field of psychology suggest that individuals involved in the execution of high investment tasks, react with (emotional) strain if interrupted. The final completion of the task will remove this strain.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [82] Zeĭgarnik, B.V. (1927). Über das Behalten von Erledigten und Unerledigten Handlungen, J. Springer.
Not checked in the free run.
- cites [83] Rickers-Ovsiankina, M.A. (1928). Die Wiederaufnahme Unterbrochener Handlungen, Springer.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe analysis of different elements can be used to plant the most interesting news in one's own personalized Newsfeed.
“The analysis of the different elements presented in this paragraph technically can all be used to plant the most interesting news in one’s own personalized ‘Newsfeed’.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningSocial pressure plays a role not only on social media platforms to enhance user engagement but also in computer games.
“Social pressure plays not only a role on social media platforms to enhance user engagement, but also in computer games.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAccording to the I-PACE model, a history of psychopathology might be a vulnerability factor to develop IUD (and its mobile form of SUD).
“According to the I-PACE model [26] (and its recent update [86]), a history of psychopathology might indeed be a vulnerability factor to develop IUD (and its mobile form of SUD).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [26] Brand, 2016, Integrating Psychological and Neurobiological Considerations Regarding the Development and Maintenance of Specific Internet-Use Disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) Model, Neurosci. Biobehav. Rev. source
Not checked in the free run.
- cites [86] Brand, 2019, The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond Internet-use disorders, and specification of the process character of addictive behaviors, Neurosci. Biobehav. Rev. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationApps on smartphones are not in general bad and not always cause negative emotionality or dissatisfaction with one's own body image; some applications might even foster physical activity and help persons improve their diet.
“Of importance, apps on smartphones are not in general bad and not always cause negative emotionality or dissatisfaction with one’s own body image. In contrast, some applications might even foster physical activity and help persons to improve their diet [96].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [96] Schoeppe, 2017, Apps to improve diet, physical activity and sedentary behaviour in children and adolescents: A review of quality, features and behaviour change techniques, Int. J. Behav. Nutr. Phys. Act. source
Not checked in the free run.
May combine two claims.
PremisecitationClassic studies by Zeigarnik and Rickers-Ovsiankina observed that interrupted tasks are better remembered and that some participants returned to unfinished tasks after the experiment.
“In the classic work by Zeĭgarnik, participants of her study got interrupted while solving a puzzle and, in the aftermath, best remembered those tasks where they were interrupted compared to those tasks which they successfully could end. From the same work group, Rickers-Ovsiankina [83] then observed that persons not only seem to be better at remembering the tasks where they got interrupted, but”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [82] Zeĭgarnik, B.V. (1927). Über das Behalten von Erledigten und Unerledigten Handlungen, J. Springer.
Not checked in the free run.
- cites [83] Rickers-Ovsiankina, M.A. (1928). Die Wiederaufnahme Unterbrochener Handlungen, Springer.
Not checked in the free run.
May combine two claims.
InterpretationreasoningIn Candy Crush Saga, when the game has not been played for a while, the gamer is endowed with five lives; some levels are very hard, and losing lives results in emotional strain that provokes people to spend extra money to buy additional lives/gaming energy.
“Of note, when the game has not been played for a while, the gamer is endowed with five lives. Some levels are very hard to solve and in case of Candy Crush Saga it is even mentioned that a “super hard level” is coming up. As some of these levels are “super hard” to solve (rumor has it that it is even impossible at first try), players easily loose several of those free lives ending up with no”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningSocial comparison also plays a role in Freemium games, such as through highscore-boards.
“Social comparison also plays a role in Freemium games, when one thinks of the highscore-boards where you can compare your scores in a game with those from others.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAn anecdotal report by Microsoft says only 5% of Word users change the default settings.
“For instance, there is an anecdotal report by Microsoft that only 5% of Word users change the defaults settings [65].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [65] (2019, April 17). Available online: https://archive.uie.com/brainsparks/2011/09/14/do-users-change-their-settings/.
Not checked in the free run.
May combine two claims.
InterpretationreasoningIn World of Warcraft, guilds create pressure on individuals to be online at a certain time to support their guild, which goes along with a stronger focus on online activities instead of offline issues.
“As such a guild in particular performs well when being complete, the pressure on the individual of such an online group rises to be at a certain time in the online world to support one’s own guild. This goes along with a stronger focus in life on online activities instead on perhaps more pressing issues in the offline world.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThere are links between IUD and BMI and between IUD and body image avoidance.
“Additional relevant areas discussed in the literature—probably being a result of too much online consumption—are links between IUD and BMI [88] and between IUD and body image avoidance [89].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [88] Canan, 2014, The relationship between internet addiction and body mass index in Turkish adolescents, Cyberpsychol. Behav. Soc. Netw. source
Not checked in the free run.
- cites [89] Rodgers, 2013, Internet addiction symptoms, disordered eating, and body image avoidance, Cyberpsychol. Behav. Soc. Netw. source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationConsumers become instantaneously attached to and are reluctant to give up digital services once they have obtained them.
““consumers become instantaneously attached to and are reluctant to give up digital services once they have obtained them” ([102], p. 311).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [102] Fritze, 2019, Digital transformation and possession attachment: Examining the endowment effect for consumers’ relationships with hedonic and utilitarian digital service technologies, Electron. Commer. Res. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSome developers, such as Justin Rosenstein, confess about the addictive nature of some of the presented elements.
“some developers, such as Justin Rosenstein, confess about the addictive nature of some of the presented elements [73].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [73] (2019, April 03). Man Who Invented ‘Like’ Button Deletes Facebook App over Addiction Fears. Available online: https://www.independent.co.uk/life-style/gadgets-and-tech/facebook-like-inventor-deletes-app-iphone-justin-rosenstein-addiction-fears-a7986566.html.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenTime distortions are a well-known companion of flow processes.
“Such time distortions are a well-known companion of flow processes as described in 3.1.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The prevailing business model of many app developers exchanges personal data for allowance to use an app.
“As the current business model of many app-developers foresees an exchange of personal data for allowance to use an app”
“The ‘classic’ app-business model of Silicon Valley asks the user not to pay with money to be able to use a certain application but with his/her personal data.”
The paper relies on this without support.
The apps analyzed, such as Facebook, WhatsApp, and Candy Crush, are representative of social media/messenger platforms and Freemium games.
“These insights have been derived by analysis of prominent and often used apps such as Facebook, WhatsApp, or Candy Crush.”
“What follows is an overview of features built into social media/messenger and Freemium game applications likely prolonging app usage.”
The authors state this as an assumption.
The mechanisms have been purely designed to prolong usage time of an app.
“Clearly, our assumption that these mechanisms have been purely designed to prolong usage time of an app is speculative”
The paper relies on this without support.
Studies are largely lacking that aim at understanding how strongly each of the aforementioned features of the platforms/games impacts upon usage time.
“To our knowledge, studies are largely lacking aiming at an understanding of how strong each of the aforementioned features of the platforms/games impact upon usage time.”
The paper relies on this without support.
Companies such as Facebook and Google earn their money with data.
“because companies such as Facebook and Google earn their money with data.”
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?
Social media has been described as difficult to disengage from, reflecting the potency of the algorithms and functionalities that engage users.
“Relatedly, social media has been described as difficult to disengage from, reflecting the potency of the algorithms and the functionalities that engage users [74].”
Cites
Toward a positive theory of consumer choice
Thaler, R. H. (1980) · Journal of Economic Behavior & Organization · doi:10.1016/0167-2681(80)90051-7 · Cited by 5,578 · cited 1× · see citing works
“Where do the endowment effect and the mere exposure effect come in? The endowment effect describes that buying or owning a product leads to a higher (emotionally felt) value of the product, often way beyond its actual value [54,55].”
BackgroundAnomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias
Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1991) · Journal of Economic Perspectives · doi:10.1257/jep.5.1.193 · Cited by 5,019 · cited 1× · see citing works
“Where do the endowment effect and the mere exposure effect come in? The endowment effect describes that buying or owning a product leads to a higher (emotionally felt) value of the product, often way beyond its actual value [54,55].”
BackgroundSocial media? Get serious! Understanding the functional building blocks of social media
Kietzmann, J. H., Hermkens, K., McCarthy, I. P., & Silvestre, B. S. (2011) · Business Horizons · doi:10.1016/j.bushor.2011.01.005 · Cited by 4,970 · cited 1× · see citing works
“[111] is mentioned, because it represents one of the first models to systematically analyze the diverse building blocks of social media.”
BackgroundMotivational, emotional, and behavioral correlates of fear of missing out
Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.02.014 · Cited by 3,932 · see citing works
Experimental evidence of massive-scale emotional contagion through social networks
Kramer, A. D. I., Guillory, J. E., & Hancock, J. T. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1320040111 · Cited by 3,687 · see citing works
Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.033 · Cited by 2,153 · cited 2× · see citing works
“[26], the term IUD is also used in the following.”
MethodBrand, M., Wegmann, E., Stark, R., Müller, A., Wölfling, K., Robbins, T. W., & Potenza, M. N. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.06.032 · Cited by 2,126 · cited 1× · see citing works
“According to the I-PACE model [26] (and its recent update [86]), a history of psychopathology might indeed be a vulnerability factor to develop IUD (and its mobile form of SUD).”
MethodDevelopment and Validation of a Smartphone Addiction Scale (SAS)
Kwon, M., Lee, J.-Y., Won, W.-Y., Park, J.-W., Min, J.-A., Hahn, C., Gu, X., Choi, J.-H., & Kim, D.-J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056936 · Cited by 1,670 · see citing works
Social comparison, social media, and self-esteem.
Vogel, E. A., Rose, J. P., Roberts, L. R., & Eckles, K. (2014) · Psychology of Popular Media Culture · doi:10.1037/ppm0000047 · Cited by 1,418 · cited 1× · see citing works
“Without doubt, the social comparison process is not unproblematic, because it might lead to lower self-esteem [79] and the size of one’s own real social network to be successfully handled seems to be limited by the so called Dunbar’s number (a theoretical limit to the number of people with whom any individual is able…”
BackgroundMere Exposure: A Gateway to the Subliminal
Zajonc, R. B. (2001) · Current Directions in Psychological Science · doi:10.1111/1467-8721.00154 · Cited by 1,299 · cited 1× · see citing works
“Also, of importance is the mere exposure effect [56].”
BackgroundRelationships among smartphone addiction, stress, academic performance, and satisfaction with life
Samaha, M., & Hawi, N. S. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.12.045 · Cited by 1,246 · see citing works
Psychology of Computer Use: XL. Addictive Use of the Internet: A Case That Breaks the Stereotype
Young, K. S. (1996) · Psychological Reports · doi:10.2466/pr0.1996.79.3.899 · Cited by 1,108 · see citing works
Mood States and Consumer Behavior: A Critical Review
Gardner, M. P. (1985) · Journal of Consumer Research · doi:10.1086/208516 · Cited by 1,046 · cited 1× · see citing works
“Although, the role of mood for buying decisions/advertising is complex [70,71], such a variable might be of (high) interest to many of the companies behind manifold smartphone/Internet applications.”
BackgroundMere Exposure: A Gateway to the Subliminal
Zajonc, R. B. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511618031.026 · Cited by 952 · see citing works
Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research
Billieux, J., Schimmenti, A., Khazaal, Y., Maurage, P., & Heeren, A. (2015) · Journal of Behavioral Addictions · doi:10.1556/2006.4.2015.009 · Cited by 920 · cited 1× · see citing works
“Explicitly, it is mentioned that researchers should not over-pathologize everyday life activities [27] and aim at a unification of terms used in the literature in line with the officially suggested nomenclature.”
ResultSmartphone use and smartphone addiction among young people in Switzerland
Haug, S., Castro, R. P., Kwon, M., Filler, A., Kowatsch, T., & Schaub, M. P. (2015) · Journal of Behavioral Addictions · doi:10.1556/2006.4.2015.037 · Cited by 903 · cited 1× · see citing works
“Such a focus is warranted because several studies already demonstrated that these applications are important drivers of (excessive) smartphone usage (literature on social media/messenger applications and smartphone usage [28,97,98]; literature on gaming and smartphone usage [29,99,100].”
BackgroundPsychological targeting as an effective approach to digital mass persuasion
Matz, S. C., Kosinski, M., Nave, G., & Stillwell, D. J. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1710966114 · Cited by 892 · cited 1× · see citing works
“[46] demonstrating how clicks and buys can be boosted by the use of personalized ads.”
BackgroundYen, J.-Y., Ko, C.-H., Yen, C.-F., Wu, H.-Y., & Yang, M.-J. (2007) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2007.02.002 · Cited by 817 · see citing works
Brain Drain: The Mere Presence of One’s Own Smartphone Reduces Available Cognitive Capacity
Ward, A. F., Duke, K., Gneezy, A., & Bos, M. W. (2017) · Journal of the Association for Consumer Research · doi:10.1086/691462 · Cited by 787 · cited 1× · see citing works
“Another research group stresses that the availability of smartphones even might lead to “brain drain”, when the device is present on the desk while working on a fluid intelligence task or working memory task [11].”
BackgroundTwenge, J. M., Martin, G. N., & Campbell, W. K. (2018) · Emotion · doi:10.1037/emo0000403 · Cited by 750 · cited 1× · see citing works
“In any case, new research suggests that the many interruptions due to high frequency use and the many daily incoming messages fragmenting everyday life could reduce productivity at work [6–8] and lower a person’s well-being [9,10].”
BackgroundWilmer, H. H., Sherman, L. E., & Chein, J. M. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00605 · Cited by 736 · see citing works
Bian, M., & Leung, L. (2015) · Social Science Computer Review · doi:10.1177/0894439314528779 · Cited by 669 · cited 1× · see citing works
“From our perspective, it is of tremendous importance to further study such in-built elements, because SUD has been associated with loneliness [85].”
BackgroundFacebook language predicts depression in medical records
Eichstaedt, J. C., Smith, R. J., Merchant, R. M., Ungar, L. H., Crutchley, P., Preoţiuc-Pietro, D., Asch, D. A., & Schwartz, H. A. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1802331115 · Cited by 643 · see citing works
Modeling Users' Activity on Twitter Networks: Validation of Dunbar's Number
Gonçalves, B., Perra, N., & Vespignani, A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0022656 · Cited by 638 · cited 2× · see citing works
“As prominent representatives of social media applications, Facebook, Snapchat, Instagram, and Twitter can be named and as a prominent messenger application WhatsApp or Signal.”
BackgroundSherman, L. E., Payton, A. A., Hernandez, L. M., Greenfield, P. M., & Dapretto, M. (2016) · Psychological Science · doi:10.1177/0956797616645673 · Cited by 627 · cited 1× · see citing works
“Pictures being presented with many Likes elicit stronger activity in the ventral striatum, an area involved of the processing of a rewards [74,75].”
BackgroundDevelopment and validation of the Smartphone Addiction Inventory (SPAI)
Lin, Y.-H., Chang, L.-R., Lee, Y.-H., Tseng, H.-W., Kuo, T. B. J., & Chen, S.-H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098312 · Cited by 611 · see citing works
Facebook Photo Activity Associated with Body Image Disturbance in Adolescent Girls
Meier, E. P., & Gray, J. (2014) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2013.0305 · Cited by 585 · cited 1× · see citing works
“These effects might be in particular strong on platforms such as Instagram and for those users with low self-esteem [91] and being female [92,93].”
BackgroundAttractive celebrity and peer images on Instagram: Effect on women's mood and body image
Brown, Z. A., & Tiggemann, M. (2016) · Body Image · doi:10.1016/j.bodyim.2016.08.007 · Cited by 543 · cited 1× · see citing works
“The latter effect is likely driven by social comparison processes, in particular when a person is confronted with thin models or other (thin) attractive persons [90].”
BackgroundAttention deficit hyperactivity symptoms and Internet addiction
YOO, H. J., CHO, S. C., HA, J., YUNE, S. K., KIM, S. J., HWANG, J., CHUNG, A., SUNG, Y. H., & LYOO, I. K. (2004) · Psychiatry and Clinical Neurosciences · doi:10.1111/j.1440-1819.2004.01290.x · Cited by 492 · see citing works
Smartphone addiction, daily interruptions and self-reported productivity
Duke, É., & Montag, C. (2017) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2017.07.002 · Cited by 466 · see citing works
Self-citationWegmann, E., Oberst, U., Stodt, B., & Brand, M. (2017) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2017.04.001 · Cited by 458 · see citing works
Cohen, R., Newton-John, T., & Slater, A. (2017) · Body Image · doi:10.1016/j.bodyim.2017.10.002 · Cited by 448 · cited 1× · see citing works
“These effects might be in particular strong on platforms such as Instagram and for those users with low self-esteem [91] and being female [92,93].”
BackgroundThe Facebook experiment: Quitting Facebook leads to higher levels of well-being
Tromholt, M. (2016) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2016.0259 · Cited by 419 · see citing works
A Systematic Framework for Designing and Evaluating Persuasive Systems
B, H. O.-K. A., & Harjumaa, M. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-68504-3_15 · Cited by 411 · cited 1× · see citing works
“Clearly, our assumption that these mechanisms have been purely designed to prolong usage time of an app is speculative, but please see also a larger serious scientific area dealing with persuasive design/technologies in the computer sciences [103,104].”
BackgroundSmartphone usage in the 21st century: who is active on WhatsApp?
Montag, C., Błaszkiewicz, K., Sariyska, R., Lachmann, B., Andone, I., Trendafilov, B., Eibes, M., & Markowetz, A. (2015) · BMC Research Notes · doi:10.1186/s13104-015-1280-z · Cited by 408 · see citing works
Self-citationSmartphone use undermines enjoyment of face-to-face social interactions
Dwyer, R. J., Kushlev, K., & Dunn, E. W. (2018) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2017.10.007 · Cited by 407 · cited 1× · see citing works
“Beyond the mentioned issues, (excessive use of) smartphones is known to impact on social communication in terms of reducing smiles when interacting with strangers [13], enjoyment of face-to-face interaction [14] or drawing parent’s attention away from their children [15].”
BackgroundLin, Y.-H., Lin, Y.-C., Lee, Y.-H., Lin, P.-H., Lin, S.-H., Chang, L.-R., Tseng, H.-W., Yen, L.-Y., Yang, C. C. H., & Kuo, T. B. J. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2015.04.003 · Cited by 399 · cited 1× · see citing works
“Although literature on each of the elements in the study of SUD is scarce, it has been demonstrated that persons have problems in assessing their smartphone consumption, and this is probably due to time distortions [49,101].”
BackgroundUnderstanding User Beliefs About Algorithmic Curation in the Facebook News Feed
Rader, E., & Gray, R. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702174 · Cited by 386 · cited 1× · see citing works
“For a work dealing with user beliefs considering how the algorithm applied behind the ‘Newsfeed’ works, please see Rader & Gray [72].”
MethodDecreased Volume of the Brain Reward System in Alcoholism
Makris, N., Oscar-Berman, M., Jaffin, S. K., Hodge, S. M., Kennedy, D. N., Caviness, V. S., Marinkovic, K., Breiter, H. C., Gasic, G. P., & Harris, G. J. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.01.018 · Cited by 372 · cited 1× · see citing works
“Additionally, several other studies observed that lower gray matter volumes were associated with higher addictive tendencies [77,78].”
Montag, 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 · cited 1× · see citing works
“[42] for overlaps between generalized and specific forms of IUD).”
BackgroundSelf-citationPartitioning default effects: Why people choose not to choose.
Dinner, I. M., Johnson, E. J., Goldstein, D. G., & Liu, K. (2011) · Journal of Experimental Psychology Applied · doi:10.1037/a0024354 · Cited by 339 · cited 1× · see citing works
“In general, the ‘power of defaults’ is a well-known principle applicable to decision making in many different areas and especially in software applications [63,64].”
BackgroundPontes, H. M., Schivinski, B., Sindermann, C., Li, M., Becker, B., Zhou, M., & Montag, C. (2019) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-019-00088-z · Cited by 318 · cited 4× · see citing works
“Both ICD-11 and DSM-5 offer practitioners and researchers alike valuable guidance in psycho-diagnostics.”
BackgroundInfluentialSelf-citationDo Persuasive Technologies Persuade? - A Review of Empirical Studies
Hamari, J., Koivisto, J., & Pakkanen, T. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-07127-5_11 · Cited by 317 · cited 1× · see citing works
“Clearly, our assumption that these mechanisms have been purely designed to prolong usage time of an app is speculative, but please see also a larger serious scientific area dealing with persuasive design/technologies in the computer sciences [103,104].”
BackgroundCohen, R., Newton-John, T., & Slater, A. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2017.10.027 · Cited by 294 · see citing works
Leung, H., Pakpour, A. H., Strong, C., Lin, Y.-C., Tsai, M.-C., Griffiths, M. D., Lin, C.-Y., & Chen, I.-H. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2019.04.027 · Cited by 290 · cited 6× · see citing works
“A new work underlines the overlap between SUD and excessive social media use, but also links between SUD and (Internet) Gaming Disorder [29].”
BackgroundInfluentialSchöeppe, S., Alley, S., Rebar, A. L., Hayman, M., Bray, N. A., Lippevelde, W. V., Gnam, J.-P., Bachert, P., Direito, A., & Vandelanotte, C. (2017) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-017-0538-3 · Cited by 280 · cited 1× · see citing works
“In contrast, some applications might even foster physical activity and help persons to improve their diet [96].”
BackgroundThe Multipurpose Application WeChat: A Review on Recent Research
Montag, C., Becker, B., & Gan, C. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02247 · Cited by 274 · cited 1× · see citing works
“Without doubt, this is the Western view on this topic, whereas in Asia (particularly in China) the application WeChat dominates the market as a hybrid between social media and messenger application plus pay service [34].”
BackgroundSelf-citationHow Many Friends Does One Person Need? Dunbar’s Number and Other Evolutionary Quirks
Dunbar, R. (2011) · Harvard University Press eBooks · doi:10.2307/j.ctvk12rgx · Cited by 258 · see citing works
Towards Assessing Changes in Degree of Depression through Facebook
Schwartz, H. A., Eichstaedt, J., Kern, M. L., Park, G., Sap, M., Stillwell, D., Kosinski, M., & Ungar, L. (2014) · Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality · doi:10.3115/v1/w14-3214 · Cited by 256 · see citing works
Savcı, M. (2017) · Dusunen Adam The Journal of Psychiatry and Neurological Sciences · doi:10.5350/dajpn2017300304 · Cited by 249 · cited 1× · see citing works
“Nevertheless, it is also imaginable that withdrawal from society and escapism to the online world ultimately might cause loneliness and reduce social connectedness, too [87].”
Background"Silence Your Phones": Smartphone Notifications Increase Inattention and Hyperactivity Symptoms
Kushlev, K., Proulx, J., & Dunn, E. W. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858359 · Cited by 245 · see citing works
Checking email less frequently reduces stress
Kushlev, K., & Dunn, E. W. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.11.005 · Cited by 238 · cited 1× · see citing works
“In any case, new research suggests that the many interruptions due to high frequency use and the many daily incoming messages fragmenting everyday life could reduce productivity at work [6–8] and lower a person’s well-being [9,10].”
BackgroundLopez-Fernandez, O., Kuss, D. J., Romo, L., Morvan, Y., Kern, L., Graziani, P., Rousseau, A., Rumpf, H.-J., Bischof, A., Gässler, A.-K., et al. (2017) · Journal of Behavioral Addictions · doi:10.1556/2006.6.2017.020 · Cited by 237 · cited 1× · see citing works
“Such a focus is warranted because several studies already demonstrated that these applications are important drivers of (excessive) smartphone usage (literature on social media/messenger applications and smartphone usage [28,97,98]; literature on gaming and smartphone usage [29,99,100].”
Background(2017) · Cited by 209 · see citing works
Sha, P., Sariyska, R., Riedl, R., Lachmann, B., & Montag, C. (2018) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2018.100148 · Cited by 207 · cited 4× · see citing works
“Such a focus is warranted because several studies already demonstrated that these applications are important drivers of (excessive) smartphone usage (literature on social media/messenger applications and smartphone usage [28,97,98]; literature on gaming and smartphone usage [29,99,100].”
BackgroundInfluentialSelf-citationPeer Influence via Instagram: Effects on Brain and Behavior in Adolescence and Young Adulthood
Sherman, L. E., Greenfield, P. M., Hernandez, L. M., & Dapretto, M. (2018) · Child Development · doi:10.1111/cdev.12838 · Cited by 196 · cited 1× · see citing works
“Pictures being presented with many Likes elicit stronger activity in the ventral striatum, an area involved of the processing of a rewards [74,75].”
BackgroundCross-generational analysis of predictive factors of addictive behavior in smartphone usage
Zhitomirsky-Geffet, M., & Blau, M. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.07.061 · Cited by 186 · see citing works
The Role of Empathy and Life Satisfaction in Internet and Smartphone Use Disorder
Lachmann, B., Sindermann, C., Sariyska, R., Luo, R., Melchers, M., Becker, B., Cooper, A., & Montag, C. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00398 · Cited by 185 · see citing works
Self-citationThe Role of Structural Characteristics in Problematic Video Game Play: An Empirical Study
King, D. L., Delfabbro, P. H., & Griffiths, M. D. (2011) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-010-9289-y · Cited by 184 · cited 1× · see citing works
“Although, the different strains of research presented so far in Section 1 led to valuable insights into the nature of IUDs, only few studies until now aim to understand why specific online applications and their in-built elements are potentially addictive [44,45].”
BackgroundAhadzadeh, A. S., Sharif, S. P., & Ong, F. S. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.11.011 · Cited by 184 · cited 1× · see citing works
“These effects might be in particular strong on platforms such as Instagram and for those users with low self-esteem [91] and being female [92,93].”
BackgroundTime Distortion for Expert and Novice Online Game Players
Rau, P.-L. P., Peng, S.-Y., & Yang, C.-C. (2006) · CyberPsychology & Behavior · doi:10.1089/cpb.2006.9.396 · Cited by 171 · see citing works
The burden of online friends: The effects of giving up Facebook on stress and well-being
Vanman, E. J., Baker, R., & Tobin, S. J. (2018) · The Journal of Social Psychology · doi:10.1080/00224545.2018.1453467 · Cited by 168 · see citing works
Kushlev, K., & Dunn, E. W. (2019) · Journal of Social and Personal Relationships · doi:10.1177/0265407518769387 · Cited by 162 · cited 1× · see citing works
“Beyond the mentioned issues, (excessive use of) smartphones is known to impact on social communication in terms of reducing smiles when interacting with strangers [13], enjoyment of face-to-face interaction [14] or drawing parent’s attention away from their children [15].”
BackgroundAccident risk associated with smartphone addiction: A study on university students in Korea
Kim, H.-J., Min, J., Kim, H., & Min, K. (2017) · Journal of Behavioral Addictions · doi:10.1556/2006.6.2017.070 · Cited by 159 · cited 1× · see citing works
“The distracting aspects of many applications on the smartphone are also a well-known danger for every day traffic [51] and in many countries led to the prohibition of smartphone use while driving a car or riding a bike.”
BackgroundMontag, C., & Diefenbach, S. (2018) · Sustainability · doi:10.3390/su10020415 · Cited by 153 · cited 2× · see citing works
“In this context also the role of selfies [3,94] and the smartphone camera needs to be mentioned [95].”
BackgroundSelf-citationScholz, R. W., Bartelsman, E. J., Diefenbach, S., Franke, L., Grünwald, A., Helbing, D., Hill, R. C., Hilty, L. M., Höjer, M., Klauser, S., et al. (2018) · Sustainability · doi:10.3390/su10062001 · Cited by 149 · cited 1× · see citing works
“Despite the many advantages of the smartphone, it is heavily discussed among scientists around the globe if problematic usage of the smartphone could have detrimental effects on our mental health [3,4].”
BackgroundSelf-citationSelected Principles of Pankseppian Affective Neuroscience
Davis, K. L., & Montag, C. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.01025 · Cited by 145 · cited 2× · see citing works
“, to stay in touch with friends) might represent the healthy form of smartphone use, reflecting also homo sapiens’ urge for social bonding as also outlined in Pankseppian Affective Neuroscience Theory [33].”
BackgroundSelf-citationInternet Addiction Symptoms, Disordered Eating, and Body Image Avoidance
Rodgers, R. F., Melioli, T., Laconi, S., Bui, É., & Chabrol, H. (2013) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2012.1570 · Cited by 143 · cited 1× · see citing works
“of too much online consumption—are links between IUD and BMI [88] and between IUD and body image avoidance [89].”
BackgroundFacebook usage on smartphones and gray matter volume of the nucleus accumbens
Montag, C., Markowetz, A., Blaszkiewicz, K., Andone, I., Lachmann, B., Sariyska, R., Trendafilov, B., Eibes, M., Kolb, J., Reuter, M., et al. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.04.035 · Cited by 135 · cited 1× · see citing works
“It has even been demonstrated that lower gray matter volumes of the nucleus accumbens are associated with longer and higher frequent usage of the Facebook app on smartphones underlining its addictive power [76].”
BackgroundSelf-citationStieger, S., & Lewetz, D. (2018) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2018.0070 · Cited by 135 · see citing works
Montag, C., Błaszkiewicz, K., Lachmann, B., Sariyska, R., Andone, I., Trendafilov, B., & Markowetz, A. (2015) · Behavioral Sciences · doi:10.3390/bs5040434 · Cited by 122 · cited 1× · see citing works
“Although literature on each of the elements in the study of SUD is scarce, it has been demonstrated that persons have problems in assessing their smartphone consumption, and this is probably due to time distortions [49,101].”
BackgroundSelf-citationPeterka‐Bonetta, J., Sindermann, C., Elhai, J. D., & Montag, C. (2019) · Frontiers in Public Health · doi:10.3389/fpubh.2019.00127 · Cited by 115 · cited 15× · see citing works
“A new work underlines the overlap between SUD and excessive social media use, but also links between SUD and (Internet) Gaming Disorder [29].”
BackgroundInfluentialSelf-citation“I know you’ve seen it!” Individual and social factors for users’ chatting behavior on Facebook
Mai, L. M., Freudenthaler, R., Schneider, F. M., & Vorderer, P. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.01.074 · Cited by 111 · see citing works
Mobile gaming and problematic smartphone use: A comparative study between Belgium and Finland
Lopez-Fernandez, O., Männikkö, N., Kääriäinen, M., Griffiths, M. D., & Kuss, D. J. (2018) · Journal of Behavioral Addictions · doi:10.1556/2006.6.2017.080 · Cited by 109 · cited 1× · see citing works
“Such a focus is warranted because several studies already demonstrated that these applications are important drivers of (excessive) smartphone usage (literature on social media/messenger applications and smartphone usage [28,97,98]; literature on gaming and smartphone usage [29,99,100].”
BackgroundSelf-esteem, personality and Internet Addiction: A cross-cultural comparison study
Sariyska, R., Reuter, M., Bey, K., Sha, P., Li, M., Chen, Y., Liu, W., Zhu, Y., Li, C., Suárez-Rivillas, A., et al. (2014) · Personality and Individual Differences · doi:10.1016/j.paid.2014.01.001 · Cited by 108 · cited 1× · see citing works
“[57]) and seems to be applicable also for many of the gaming or social media apps.”
BackgroundSelf-citationElhai, J. D., Yang, H., & Montag, C. (2019) · Current Addiction Reports · doi:10.1007/s40429-019-00260-4 · Cited by 106 · cited 3× · see citing works
“Earlier, links between SUD and depression/anxiety disorders have been already mentioned [5].”
BackgroundResultSelf-citationHadar, A., Hadas, I., Lazarovits, A., Alyagon, U., Eliraz, D., & Zangen, A. (2017) · PLOS ONE · doi:10.1371/journal.pone.0180094 · Cited by 100 · cited 1× · see citing works
“This process is also known to undermine well-being [60] and might in parts be responsible for rising social concerns when people start to use smartphones [61].”
BackgroundThe Relationship Between Internet Addiction and Body Mass Index in Turkish Adolescents
Canan, F., Yıldırım, O., Ustunel, T. Y., Sinani, G., Kaleli, A. H., Güneş, C., & Ataoğlu, A. (2013) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2012.0733 · Cited by 90 · cited 2× · see citing works
“of too much online consumption—are links between IUD and BMI [88] and between IUD and body image avoidance [89].”
BackgroundSmartphones reduce smiles between strangers
Kushlev, K., Hunter, J. F., Proulx, J., Pressman, S. D., & Dunn, E. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2018.09.023 · Cited by 89 · cited 1× · see citing works
“Beyond the mentioned issues, (excessive use of) smartphones is known to impact on social communication in terms of reducing smiles when interacting with strangers [13], enjoyment of face-to-face interaction [14] or drawing parent’s attention away from their children [15].”
BackgroundChou, W., Huang, M., Chang, Y., Chen, Y.-M., Hu, H., & Yen, C. (2016) · Journal of Behavioral Addictions · doi:10.1556/2006.6.2017.005 · Cited by 84 · cited 1× · see citing works
“This might result in a loss of empathy, although so far only correlations between excessive Internet use and lower empathy/social skills could be established [16,17], with only weak associations between excessive smartphone usage and empathy [18].”
BackgroundMelchers, M., Li, M., Chen, Y., Zhang, W., & Montag, C. (2015) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2015.06.019 · Cited by 83 · see citing works
Self-citationReduced Volume of the Nucleus Accumbens in Heroin Addiction
Seifert, C. L., Magon, S., Sprenger, T., Lang, U. E., Huber, C. G., Denier, N., Vogel, M., Schmidt, A., Radue, E.-W., Borgwardt, S., et al. (2015) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-014-0564-y · Cited by 80 · cited 1× · see citing works
“Additionally, several other studies observed that lower gray matter volumes were associated with higher addictive tendencies [77,78].”
PAR Sheets, probabilities, and slot machine play: Implications for problem and non-problem gambling
Harrigan, K. A., & Dixon, M. J. (2009) · Journal of Gambling Issues · doi:10.4309/jgi.2009.23.5 · Cited by 77 · cited 2× · see citing works
“, a funny or interesting video), hence intermittent conditioning principles are observed here (see also research on intermittent conditioning principles in the context of slot machine mechanisms by Harrigan & Dixon [52]).”
BackgroundPeterka-Bonetta, J., Sindermann, C., Sha, P., Zhou, M., & Montag, C. (2019) · Addictive Behaviors · doi:10.1016/j.addbeh.2018.08.011 · Cited by 76 · cited 1× · see citing works
“Of note, earlier works demonstrated co-morbidities with ADHD and depression [38–40], but also burnout [41] when investigating IUD.”
BackgroundSelf-citationM, S. R. R. (2015) · Journal of Addiction Research & Therapy · doi:10.4172/2155-6105.1000209 · Cited by 71 · see citing works
Duke, É., & Montag, C. (2017) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-319-46276-9_21 · Cited by 71 · see citing works
Self-citationWho’s addicted to the smartphone and/or the Internet?
Lachmann, B., Duke, É., Sariyska, R., & Montag, C. (2017) · Psychology of Popular Media Culture · doi:10.1037/ppm0000172 · Cited by 69 · cited 15× · see citing works
“A new work underlines the overlap between SUD and excessive social media use, but also links between SUD and (Internet) Gaming Disorder [29].”
BackgroundInfluentialSelf-citationKwon, M., Lee, J.-Y., Won, W.-Y., Park, J.-W., Min, J.-A., Hahn, C., Gu, X., Choi, J.-H., & Kim, D.-J. (2017) · PsycTESTS Dataset · doi:10.1037/t57115-000 · Cited by 62 · see citing works
Mehr auf Facebook, kleinerer Nucleus Accumbens – oder umgekehrt?
(2017) · Fortschritte der Neurologie · Psychiatrie · doi:10.1055/s-0043-111134 · Cited by 57 · see citing works
B, H. O.-K. A., SegerstÃ¥hl, K., Øhrstrøm, P., Hasle, P., & Harjumaa, M. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-68504-3 · Cited by 56 · see citing works
The 2D:4D Marker and Different Forms of Internet Use Disorder
Müller, M., Brand, M., Mies, J., Lachmann, B., Sariyska, R., & Montag, C. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00213 · Cited by 51 · see citing works
Self-citationFritze, M. P., Eisingerich, A. B., & Benkenstein, M. (2019) · Electronic Commerce Research · doi:10.1007/s10660-018-9309-8 · Cited by 50 · cited 2× · see citing works
“The authors of this work observed via an online experiment that “consumers become instantaneously attached to and are reluctant to give up digital services once they have obtained them” ([102], p.”
BackgroundResultContext effects in marketing practice: the case of mood
Bakamitsos, G. A., & Siomkos, G. J. (2004) · Journal of Consumer Behaviour · doi:10.1002/cb.144 · Cited by 40 · cited 1× · see citing works
“Although, the role of mood for buying decisions/advertising is complex [70,71], such a variable might be of (high) interest to many of the companies behind manifold smartphone/Internet applications.”
BackgroundWhatsApp and Wellbeing: A study on WhatsApp usage, communication quality and stress
Blabst, N., & Diefenbach, S. (2017) · British Computer Society Conference on Human-Computer Interaction · doi:10.14236/ewic/hci2017.85 · Cited by 29 · cited 1× · see citing works
“This process is also known to undermine well-being [60] and might in parts be responsible for rising social concerns when people start to use smartphones [61].”
BackgroundAndone, I., Błaszkiewicz, K., Eibes, M., Trendafilov, B., Montag, C., & Markowetz, A. (2016) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2968219.2971591 · Cited by 28 · cited 1× · see citing works
“How good this actually works has not been investigated and please note that some of the authors (together with computer scientists) presented a similar service for Android users already several years ago, hence years before the app industry launched such a laudable initiative (CM and BL as part of a larger development…”
BackgroundSelf-citationSetting Software Defaults: Perspectives from Law, Computer Science and Behavioral Economics
Kesan, J. P., & Shah, R. (2006) · Journal of legislation · Cited by 26 · see citing works
Montag, C., & Reuter, M. (2017) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-319-46276-9 · Cited by 26 · see citing works
Self-citationDesigning Social Networks to Combat Fear of Missing Out
Alutaybi, A., McAlaney, J., Stefanidis, A., Phalp, K. T., & Ali, R. (2018) · Electronic workshops in computing · doi:10.14236/ewic/hci2018.80 · Cited by 25 · cited 5× · see citing works
“Although, the different strains of research presented so far in Section 1 led to valuable insights into the nature of IUDs, only few studies until now aim to understand why specific online applications and their in-built elements are potentially addictive [44,45].”
BackgroundInfluentialPsychological and neuroscientific advances to understand Internet Use Disorder
Becker, B., & Montag, C. (2019) · e-Neuroforum · doi:10.1515/nf-2018-0026 · Cited by 24 · see citing works
Self-citationIs Internet overuse associated with impaired empathic ability in Korean college students?
Jeon, H. J., Kim, S., Chon, W.-H., & Ha, J. H. (2018) · Medicine · doi:10.1097/md.0000000000012493 · Cited by 21 · cited 1× · see citing works
“Moreover, important insights of a study are mentioned which on the one hand observed reduced social skills in excessive Internet users, but on the other hand observed enhanced empathy when the Internet is used in a healthy way [19].”
BackgroundInnovationskommunikation 2.0 — Das Beispiel Apple iPhone
Maisch, B., & Meckel, M. (2009) · Marketing Review St Gallen · doi:10.1007/s11621-009-0031-8 · Cited by 6 · cited 1× · see citing works
“Without doubt, one of the major driving forces towards a totally connected world with the Internet available in everyone’s pocket was the inception of the iPhone in 2007 [2].”
BackgroundThe Camera Phone in the Concert Space
Glitsos, L. (2018) · Music Sound and the Moving Image · doi:10.3828/msmi.2018.2 · Cited by 3 · see citing works
Zweig, K. A., Lachmann, B., Montag, C., & Herrlich, M. (2019) · Springer eBooks · doi:10.1007/978-3-658-23841-4_4 · Cited by 3 · cited 1× · see citing works
“Some of these thoughts have been already covered in a chapter published by the authors in German language [47].”
BackgroundSelf-citation
Flagged first, then by citations
1 of the 104 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- Thaler, R., and Sunstein, C. (2008). Improving Decisions about Health, Wealth and Happiness, Yale University Press. Penguin Books.
- Zeĭgarnik, B.V. (1927). Über das Behalten von Erledigten und Unerledigten Handlungen, J. Springer.
- Rickers-Ovsiankina, M.A. (1928). Die Wiederaufnahme Unterbrochener Handlungen, Springer.
- Andone, I., Błaszkiewicz, K., Trendafilov, B., Eibes, M., Montag, C., and Markowetz, A. (2016, January 7–12). Menthal—Running a Science Project as a Start-Up. Proceedings of the Computing in Mental Health, Workshop at CHI 2016, San Jose, CA, USA. · DOI
Cited by
Sorted by citations
On the psychology of TikTok use: a first glimpse from empirical findings
Montag, C., Yang, H., & Elhai, J. D. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.641673 · Cited by 559 · see citing works
“Nevertheless, reinforcement of TikTok usage is also very likely reached by design-elements such as “Likes” (27), personalized and endless content available (23).”
BackgroundSelf-citationMontag, C., Wegmann, E., Sariyska, R., Demetrovics, Z., & Brand, M. (2019) · Journal of Behavioral Addictions · doi:10.1556/2006.8.2019.59 · Cited by 463 · see citing works
“…as ICD or Social Networks Use Disorder (Montag, Zhao, et al., 2018; Wegmann & Brand, 2016); see also a new review on the neuroscience of ICD by Wegmann, Müller, Ostendorf, and Brand (2018), describing detrimental effects of excessive online communication on persons’ lives (see also Montag, 2019).”
BackgroundInfluentialSelf-citationElhai, J. D., Yang, H., & Montag, C. (2020) · Brazilian Journal of Psychiatry · doi:10.1590/1516-4446-2020-0870 · Cited by 460 · see citing works
“Nesse contexto, também mencionamos a crescente discussão sobre a necessidade de regular o número de elementos incorporados a aplicativos de mídia social que provocam a síndrome de FOMO [17, 18], na tentativa de prolongar o tempo de uso, para colher mais dados pessoais, na era do capitalismo de vigilância [19, 20].”
BackgroundSelf-citationRozgonjuk, D., Sindermann, C., Elhai, J. D., & Montag, C. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106487 · Cited by 315 · see citing works
Self-citationQin, Y., Omar, B., & Musetti, A. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.932805 · Cited by 237 · see citing works
“When users, especially adolescents users, were having fun online, it was hard for them to break off from the ongoing entertainment activities, except for compelling interruption from the real world (Rau et al., 2006; Montag et al., 2019), for example, parental control, academic work pressure, etc.”
BackgroundNastjuk, I., Trang, S. T.-N., Grummeck-Braamt, J.-V., Adam, M. T. P., & Tarafdar, M. (2023) · European Journal of Information Systems · doi:10.1080/0960085x.2022.2154712 · Cited by 228 · see citing works
“Moreover, technology providers tend to incorporate addictive features in their technologies to maximise their user base and prolong usage (Montag et al., 2019).”
BackgroundRozgonjuk, D., Sindermann, C., Elhai, J. D., & Montag, C. (2020) · Personality and Individual Differences · doi:10.1016/j.paid.2020.110546 · Cited by 196 · see citing works
Self-citationA taxonomy of technology design features that promote potentially addictive online behaviours
Flayelle, M., Brevers, D., King, D. L., Maurage, P., Perales, J. C., & Billieux, J. (2023) · Nature Reviews Psychology · doi:10.1038/s44159-023-00153-4 · Cited by 195 · see citing works
Problematic social media use in childhood and adolescence
Montag, C., Demetrovics, Z., Elhai, J. D., Grant, D., Koning, I. M., Rumpf, H., Spada, M. M., Throuvala, M. A., & van den Eijnden, R. J. J. M. (2024) · Addictive Behaviors · doi:10.1016/j.addbeh.2024.107980 · Cited by 207 · see citing works
Self-citationMarengo, D., Montag, C., Sindermann, C., Elhai, J. D., & Settanni, M. (2021) · Telematics and Informatics · doi:10.1016/j.tele.2020.101523 · Cited by 174 · see citing works
Self-citationChao, M., Lei, J., Ru, H., Jiang, Y., & Yang, H. (2023) · Psychiatry Research · doi:10.1016/j.psychres.2023.115247 · Cited by 204 · see citing works
Thorell, L. B., Burén, J., Ström Wiman, J., Sandberg, D., & Nutley, S. B. (2024) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-022-02130-3 · Cited by 132 · see citing works
“These characteristics include infinite scrolling, autoplay, rewarding users for merely using their services, and photo filters that encourage unhealthy beauty ideals [e.g., 91, 92].”
BackgroundOpt-out, abstain, unplug. A systematic review of the voluntary digital disconnection literature
Nassen, L.-M., Vandebosch, H., Poels, K., & Karsay, K. (2023) · Telematics and informatics · doi:10.1016/j.tele.2023.101980 · Cited by 121 · see citing works
Social Media Use and adolescents' mental health and well-being: An umbrella review
Sala, A., Porcaro, L., & Gómez, E. (2024) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2024.100404 · Cited by 120 · see citing works
Schivinski, B., Brzozowska-Woś, M., Stansbury, E., Satel, J., Montag, C., & Pontes, H. M. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.617140 · Cited by 103 · see citing works
“, 2017), often triggered by the design of the social media platforms and the prevailing data business model (Montag et al., 2019).”
BackgroundSelf-citationThe association between the Big Five personality traits and smartphone use disorder: A meta-analysis
Marengo, D., Sindermann, C., Häckel, D., Settanni, M., Elhai, J. D., & Montag, C. (2020) · Journal of Behavioral Addictions · doi:10.1556/2006.2020.00069 · Cited by 113 · see citing works
Self-citationThe Overlap Between Problematic Smartphone Use and Problematic Social Media Use: a Systematic Review
Marino, C., Canale, N., Melodia, F., Spada, M. M., & Vieno, A. (2021) · Current Addiction Reports · doi:10.1007/s40429-021-00398-0 · Cited by 105 · see citing works
Understanding Detrimental Aspects of Social Media Use: Will the Real Culprits Please Stand Up?
Montag, C., & Hegelich, S. (2020) · Frontiers in Sociology · doi:10.3389/fsoc.2020.599270 · Cited by 92 · see citing works
Self-citationSindermann, C., Elhai, J. D., & Montag, C. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.112793 · Cited by 90 · see citing works
Self-citationGordon, C. S., Jarman, H. K., Rodgers, R. F., McLean, S. A., Slater, A., Fuller-Tyszkiewicz, M., & Paxton, S. J. (2021) · Nutrients · doi:10.3390/nu13113825 · Cited by 89 · see citing works
“Relatedly, social media has been described as difficult to disengage from, reflecting the potency of the algorithms and the functionalities that engage users [74].”
BackgroundHussain, Z., Wegmann, E., Yang, H., & Montag, C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00211 · Cited by 93 · see citing works
“The use of WeChat R © has gained substantial popularity in China due to its multi-purpose character including payment functions and combining features of WhatsApp R © and Facebook R © (Gao and Zhang, 2013; Lien and Cao, 2014; Sampasa-Kanyinga and Hamilton, 2015; Montag et al., 2019a).”
BackgroundSelf-citationRozgonjuk, D., Sindermann, C., Elhai, J. D., & Montag, C. (2020) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2020.0156 · Cited by 89 · see citing works
“21,22 This, in turn, may lead to a specific use disorder of the device/platform, characterized by excessive engagement with the technology platform that may cause impairments in daily life.”
Self-citationLatikka, R., Koivula, A., Oksa, R., Savela, N., & Oksanen, A. (2021) · Social Science & Medicine · doi:10.1016/j.socscimed.2021.114674 · Cited by 91 · see citing works
Mildner, T., Savino, G.-L., Doyle, P. R., Cowan, B. R., & Malaka, R. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580695 · Cited by 85 · see citing works
“In another example, we found that many artefacts utilise addictive mechanisms [36] that often provide seemingly infinite content, further coded with pull-to-refresh , infinite scrolling , and auto playing media.”
BackgroundChee, R. M., Capper, T. S., & Muurlink, O. T. (2023) · Midwifery · doi:10.1016/j.midw.2023.103623 · Cited by 81 · see citing works
Yao, N., Chen, J., Huang, S., Montag, C., & Elhai, J. D. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107751 · Cited by 85 · see citing works
Self-citationElhai, J., Yang, H.-B., Dempsey, A. E., & Montag, C. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.112845 · Cited by 69 · see citing works
Self-citationAn extended hedonic motivation adoption model of TikTok in higher education
Deng, X., & Yu, Z. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11749-x · Cited by 86 · see citing works
Paschke, K., Austermann, M. I., & Thomasius, R. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.661483 · Cited by 74 · see citing works
“On the one hand, they are attracted by the structure and the design of digital apps that built upon psychological mechanisms to achieve strong attachment and increase the time spent with them (31).”
BackgroundRozgonjuk, D., Schivinski, B., Pontes, H. M., & Montag, C. (2021) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-021-00590-3 · Cited by 69 · see citing works
“For an overview on neuroscientific findings in this area, please see the review studies by Becker and Montag (2019), Wegmann et al.”
MethodSelf-citationRaneri, P. C., Montag, C., Rozgonjuk, D., Satel, J., & Pontes, H. M. (2022) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2022.100415 · Cited by 71 · see citing works
“The nature of gaming also has been changed with the advent of smartphones, allowing mobile access to video games from anywhere, while also giving rise to new games such as ‘Freemium ’ games (i.e., Free and Premium; see also Montag, Lachmann, Herrlich, & Zweig, 2019).”
Self-citationMarengo, D., Sindermann, C., Elhai, J. D., & Montag, C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00936 · Cited by 59 · see citing works
“They do this to be able to present users a personalized news feed, likely to prolong online time on their platform (Montag et al., 2019).”
BackgroundSelf-citationMontag, C., & Becker, B. (2023) · Psychoradiology · doi:10.1093/psyrad/kkad001 · Cited by 57 · see citing works
“Initial evidence suggests that drivers of excessive smartphone use likely are social media applications(Montag,2021; Rozgonjuk et al. ,2020; Sha et al. , 2019) promoted through highly immersive app designs (Montag, Lachmann, et al. , 2019).”
BackgroundSelf-citationThe Social Media Industry as a Commercial Determinant of Health
Zenone, M. A., Kenworthy, N., & Maani, N. (2022) · International Journal of Health Policy and Management · doi:10.34172/ijhpm.2022.6840 · Cited by 62 · see citing works
The relationship between smartphone use and students` academic performance
Sapci, O., Elhai, J. D., Amialchuk, A., & Montag, C. (2021) · Learning and Individual Differences · doi:10.1016/j.lindif.2021.102035 · Cited by 72 · see citing works
“Perhaps this is un-derstandable in light of the addictive features built-in Freemium games on the smartphones have in prolonging gaming time (Montag et al., 2019).”
Self-citationWang, Y., Yang, H., Montag, C., & Elhai, J. D. (2020) · Current Psychology · doi:10.1007/s12144-020-01052-0 · Cited by 59 · see citing works
“…who are not dependent on bottles, but rather are dependent on alcohol (Panova and Carbonell 2018), in particular social media and (Freemium-) game apps might be among the key-apps resulting in smartphone overuse (Leung et al. 2020; Sha et al. 2019; Montag et al. 2019a, b; Elhai et al. 2020d).”
BackgroundSelf-citationMontag, C., & Elhai, J. D. (2023) · Current Addiction Reports · doi:10.1007/s40429-023-00494-3 · Cited by 66 · see citing works
Self-citationYang, H., Wang, Z., Elhai, J. D., & Montag, C. (2022) · Journal of Behavioral Addictions · doi:10.1556/2006.2022.00038 · Cited by 50 · see citing works
“…their study participants being confronted with more compared to fewer Likes as a reaction to their photos responded with higher activity of the reward circuitry of the brain, perhaps better labeled as the SEEKING system (see also Pankseppian Affective Neuroscience Theory, Davis & Montag, 2019).”
BackgroundMethodSelf-citationSoraci, P., Demetrovics, Z., Bevan, N., Pisanti, R., Servidio, R. C., Bernardo, C. D., Chini, E., & Griffiths, M. D. (2025) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-024-01432-8 · Cited by 61 · see citing works
“Previous research suggests how affective and cognitive dynamics can drive dysfunctional coping strategies, such as problematic use of smartphones or social media (Elhai et al., 2020a; Li et al., 2020; Montag et al., 2019; Servidio et al., 2021; Servidio, 2023).”
Montag, C., & Rumpf, H.-J. (2021) · Current Addiction Reports · doi:10.1007/s40429-021-00376-6 · Cited by 44 · see citing works
Self-citationWadsley, M. G., Covey, J. A., & Ihssen, N. (2021) · Psychological Reports · doi:10.1177/00332941211025271 · Cited by 46 · see citing works
“have been recognised as encouraging prolonged use, providing a pathway to excessive and problematic SNS use (Montag et al., 2019; No€e et al., 2019) and there have been recent calls for these features to be banned (Hern, 2019).”
BackgroundPersonality associations with Facebook use and tendencies towards Facebook Use Disorder
Sindermann, C., Duke, É., & Montag, C. (2020) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2020.100264 · Cited by 45 · see citing works
“This questionnaire has previously been used and validated using a Confirmatory Factor Analysis by Sha, Sariyska, Riedl, Lachmann, and Montag (2019).”
BackgroundMethodSelf-citationWetzel, B., Pryss, R. C., Baumeister, H., Edler, J.-S., Gonçalves, A. S. O., & Cohrdes, C. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18126212 · Cited by 46 · see citing works
Alshakhsi, S. A. A., Babiker, A., Montag, C., & Ali, R. (2023) · Acta Psychologica · doi:10.1016/j.actpsy.2023.104026 · Cited by 44 · see citing works
Self-citationViralizar la verdad. Factores predictivos del engagement en el contenido verificado en TikTok
García-Marín, D., & Martinrey, G. S. (2022) · El Profesional de la Informacion · doi:10.3145/epi.2022.mar.10 · Cited by 43 · see citing works
Montag, C., Sindermann, C., Rozgonjuk, D., Yang, S., Elhai, J. D., & Yang, H. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.682837 · Cited by 40 · see citing works
Self-citationRe-start social media, but how?
Dhawan, S., Hegelich, S., Sindermann, C., & Montag, C. (2022) · Telematics and Informatics Reports · doi:10.1016/j.teler.2022.100017 · Cited by 43 · see citing works
Self-citationCognitive Correlates in Gaming Disorder and Social Networks Use Disorder: a Comparison
Wegmann, E., & Brand, M. (2020) · Current Addiction Reports · doi:10.1007/s40429-020-00314-y · Cited by 41 · see citing works
True colors: Grayscale setting reduces screen time in college students
Holte, A. J., & Ferraro, F. R. (2023) · The Social Science Journal · doi:10.1080/03623319.2020.1737461 · Cited by 38 · see citing works
“, 2017), excessive smartphone application use (Dempsey et al., 2019; Montag et al., 2019), gambling disorder (Ioannidis et al.”
BackgroundOnline communities come with real-world consequences for individuals and societies
Oksanen, A., Celuch, M., Oksa, R., & Savolainen, I. (2024) · Communications Psychology · doi:10.1038/s44271-024-00112-6 · Cited by 51 · see citing works
“Features such as noti fi cations, personalised content, and interactive elements are strategically implemented to capture users ’ attention and encourage prolonged usage 137 .”
BackgroundMontag, C., Schivinski, B., & Pontes, H. M. (2021) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2021.100391 · Cited by 39 · see citing works
“It is widely known that different types of video games present with unique addictive potential based on specific design features related to their structural characteristics (Griffiths & Nuyens, 2017; King, Delfabbro, & Griffiths, 2010a, 2011; Montag, Lachmann, Herrlich & Zweig, 2019a).”
Self-citationNormand, C. L., Fisher, M. H., Simonato, I., Fecteau, S.-M., & Poulin, M.-H. (2022) · Review Journal of Autism and Developmental Disorders · doi:10.1007/s40489-021-00270-x · Cited by 38 · see citing works
Montag, C., & Markett, S. A. (2023) · BMC Psychiatry · doi:10.1186/s12888-023-05371-x · Cited by 38 · see citing works
“Platforms that focus on user well-being rather than exploiting addictive design elements can contribute to a more sustainable and responsible digital landscape [40, 41].”
BackgroundSelf-citationEmerging Health and Education Issues Related to Internet Technologies and Addictive Problems
López-Fernández, O. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18010321 · Cited by 42 · see citing works
On Corporate Responsibility When Studying Social Media Use and Well-Being
Montag, C., Hegelich, S., Sindermann, C., Rozgonjuk, D., Marengo, D., & Elhai, J. D. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.01.002 · Cited by 38 · see citing works
Self-citationZhang, Y., Lv, S., Li, C., Xiong, Y., Zhou, C., Li, X., & Ye, M. (2020) · Child and Adolescent Psychiatry and Mental Health · doi:10.1186/s13034-020-0309-9 · Cited by 38 · see citing works
“social media/messenger and freemium game applications were significant drivers of excessive smartphone usage; these applications could be much more addictive than traditional/classic computer/console games [92].”
BackgroundPredictors of problematic smartphone use among university students
Laurence, P. G., Busin, Y., Lima, H. S. C., & de Macedo, E. C. (2020) · Psicologia Reflexão e Crítica · doi:10.1186/s41155-020-00147-8 · Cited by 42 · see citing works
“Problematic smartphone use has been linked to anxiety, depression, low conscientiousness, and high neuroticism (Elhai et al., 2019; Peterka-Bonetta, Sindermann, Elhai, & Montag, 2019).”
BackgroundMallawaarachchi, S. R., Tieppo, A., Hooley, M., & Horwood, S. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107492 · Cited by 36 · see citing works
Amudhan, S., Prakasha, H., Mahapatra, P., Burma, A. D., Mishra, V., Sharma, M. K., & Rao, G. N. (2020) · Journal of Public Health · doi:10.1093/pubmed/fdaa257 · Cited by 35 · see citing works
Elhai, J. D., Yang, H., & Montag, C. (2021) · PsyCh Journal · doi:10.1002/pchj.455 · Cited by 35 · see citing works
Self-citationBurén, J., Nutley, S. B., Sandberg, D., Wiman, J. S., & Thorell, L. B. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.740867 · Cited by 34 · see citing works
Psychometric Assessment and Gender Invariance of the Polish Version of the Gaming Disorder Test
Cudo, A., Montag, C., & Pontes, H. M. (2022) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-022-00929-4 · Cited by 39 · see citing works
“Such tools are much needed as recent studies suggest that prevalence rates of GD may differ when considering disordered gaming as defined within the WHO and APA frameworks in the same group of gamers (Montag et al., 2019b, 2021b; Pontes et al., 2022).”
InfluentialSelf-citationThe effects of fragmented and sticky smartphone use on distraction and task delay
Siebers, T., Beyens, I., & Valkenburg, P. M. (2023) · Mobile Media & Communication · doi:10.1177/20501579231193941 · Cited by 38 · see citing works
“App features, such as endless timelines, personalized newsfeeds, and “ auto plays, ” may contribute to a sticky smartphone usage pattern (Montag et al., 2019), which could, in turn, distract the users ’ attention.”
BackgroundInfluentialNgwenyama, O. K., Rowe, F., Klein, S., & Henriksen, H. Z. (2023) · Information Systems Research · doi:10.1287/isre.2020.0588 · Cited by 34 · see citing works
Social Media and Youth Mental Health: Scoping Review of Platform and Policy Recommendations
Chhabra, J., Pilkington, V., Benakovic, R., Wilson, M. J., Sala, L. L., & Seidler, Z. E. (2025) · Journal of Medical Internet Research · doi:10.2196/72061 · Cited by 33 · see citing works
“Recommender systems and highly engaging design features such as “endless scrolling” (a listing page design approach that loads content continuously as the user scrolls down [50]) are used by social media companies to keep users engaged with their platforms for extended periods [51].”
Bella, E. L., Allen, C., & Lirussi, F. (2021) · Integrative Medicine Research · doi:10.1016/j.imr.2021.100731 · Cited by 33 · see citing works
“46 , 47 , 48 Users’ content expresses their emotional state and interpretations on the pandemic 49 , 50 ; at the same time, users seek gratification from the likes and shares they may obtain.”
Relationship between personality traits and facebook addiction: A meta-analysis
Rajesh, T., & Rangaiah, B. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e10315 · Cited by 34 · see citing works
Akbari, M., Seydavi, M., Jamshidi, S., Marino, C., & Spada, M. M. (2022) · Addictive Behaviors · doi:10.1016/j.addbeh.2022.107603 · Cited by 34 · see citing works
Stangl, F. J., Riedl, R., Kiemeswenger, R., & Montag, C. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1141663 · Cited by 33 · see citing works
“This data business model, also named surveillance capitalism (Zuboff, 2015), led to the creation of highly immersive platforms which have been designed over many years via AB-testing (Montag et al., 2019).”
MethodSelf-citationEwin, C. A., Reupert, A., McLean, L. A., & Ewin, C. J. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106669 · Cited by 33 · see citing works
Fergen, J. T., Jacquet, J. B., & Shukla, R. (2021) · Energy Research & Social Science · doi:10.1016/j.erss.2021.102224 · Cited by 30 · see citing works
A Study of Metaverse Exhibition Sustainability on the Perspective of the Experience Economy
Wang, M., Liu, S., Hu, L., & Lee, J.-Y. (2023) · Sustainability · doi:10.3390/su15129153 · Cited by 32 · see citing works
“In particular, previous studies have analyzed the psychological factors that influence users’ decision-making behavior in a specific context, with the experience economy as the theoretical center [16,17].”
BackgroundThe Role of TikTok in Students’ Health and Wellbeing
Ramsden, E., & Talbot, C. V. (2024) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-023-01224-6 · Cited by 45 · see citing works
“Indeed, this feature is designed to capture users’ attention, by displaying copious streams of personalized content tailored to each person’s interests (Marengo et al., 2022; Montag et al., 2019; Wartberg et al., 2021).”
The Impact of Social Media on Body Image Perception in Young People
Czubaj, N., Szymańska, M., Nowak, B., & Grajek, M. K. (2025) · Nutrients · doi:10.3390/nu17091455 · Cited by 49 · see citing works
“The longer photos, videos, or posts on a particular topic are viewed, the more the algorithm deems those topics attractive to the user, encouraging them to spend more time in the specific app [48].”
Verma, A. K., Singh, G., & Patwardhan, K. (2022) · JMIRx Med · doi:10.2196/31521 · Cited by 31 · see citing works
“An increasing use of smartphones, as well as increasing indulgence in virtual games and social media are said to be causing multiple sleep-related and cognition-related disorders [12-23].”
BackgroundChang, C. I., Sit, H. F., Chao, T., Chen, C., Shen, J., Cao, B., Montag, C., Elhai, J. D., & Hall, B. J. (2022) · Current Psychology · doi:10.1007/s12144-022-03133-8 · Cited by 33 · see citing works
Self-citationAbeele, M. V., & Nguyen, M. H. (2023) · European Journal of Communication · doi:10.1177/02673231231201487 · Cited by 31 · see citing works
“…(Van Dijck, 2014; Zuboff, 2015): To maximize user engagement, ‘ addictive features ’ are designed into online platforms and media devices that motivate users to engage, for instance, by provoking and reinforcing behaviours such as mindless scrolling and habitual checking (Montag et al., 2019).”
BackgroundAustermann, M. I., Thomasius, R., & Paschke, K. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10040617 · Cited by 26 · see citing works
“In addition to their advantage of connecting people, SM services also entail an addictive potential due to psychological mechanisms built in by developers to achieve strong user loyalty and high usage times [2].”
BackgroundWegmann, E., Müller, S. M., Kessling, A., Joshi, M., Ihle, E., Wolf, O. T., & Müller, A. (2023) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2023.152392 · Cited by 25 · see citing works
“This includes addictive features of online platforms [68] as well as theoretical concepts such as fear of missing out [69], need to belong [36,70], social comparison [71] and identity confusion [72].”
BackgroundSindermann, C., Kuss, D. J., Throuvala, M. A., Griffiths, M. D., & Montag, C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01415 · Cited by 26 · see citing works
Self-citationIchihashi, S., & Kim, B. (2022) · Management Science · doi:10.1287/mnsc.2022.4392 · Cited by 25 · see citing works
Self-disclosure on social networks: More than a rational decision-making process
Ostendorf, S., Meier, Y., & Brand, M. (2022) · Cyberpsychology Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2022-4-2 · Cited by 27 · see citing works
Sindermann, C., Montag, C., & Elhai, J. D. (2022) · Technology Mind and Behavior · doi:10.1037/tmb0000096 · Cited by 24 · see citing works
Self-citationMüller, M., Sindermann, C., Rozgonjuk, D., & Montag, C. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.661541 · Cited by 23 · see citing works
“The role of social media’s design in triggering FoMO is at least theoretically well-established (Alutaybi et al., 2019; Montag et al., 2019), and research has shown that FoMO is robustly linked to SmUD (Chotpitayasunondh and Douglas, 2016; Elhai et al., 2016, 2018, 2020b,c,d; Fuster et al., 2017;…”
BackgroundSelf-citationMontag, C., Yang, H., Wu, A. M. S., Ali, R., & Elhai, J. D. (2025) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.15337 · Cited by 22 · see citing works
Self-citationSindermann, C., Yang, H., Yang, S., Elhai, J. D., & Montag, C. (2022) · Acta Psychologica · doi:10.1016/j.actpsy.2021.103462 · Cited by 22 · see citing works
Self-citationPurohit, A. K., Bergram, K., Barclay, L., Bezençon, V., & Holzer, A. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581187 · Cited by 22 · see citing works
“An important design feature for prolonging usage time on social media platforms comes through the newsfeed [62].”
BackgroundSmartphone use and well-being of adolescent girls: a population-based study
Kosola, S. K., Mörö, S., & Holopainen, E. (2024) · Archives of Disease in Childhood · doi:10.1136/archdischild-2023-326521 · Cited by 23 · see citing works
“27 Although we had no data on the time of-day adolescents used social media, sleep length is another factor connecting social media use and well-being.”
BackgroundDo we need a digital school uniform? Arguments for and against a smartphone ban in schools
Montag, C., & Elhai, J. D. (2023) · Societal Impacts · doi:10.1016/j.socimp.2023.100002 · Cited by 21 · see citing works
Self-citationSchulische Bildung zu Zeiten der Corona-Krise
Anger, C., & Plünnecke, A. (2020) · Perspektiven der Wirtschaftspolitik · doi:10.1515/pwp-2020-0055 · Cited by 21 · see citing works
“Montag et al. (2019) beschreiben verschiedene psychologische Mechanismen, die sich zur Motivation der Schülerinnen und Schüler nutzen lassen.”
BackgroundPsychometric validation of Young’s Internet Addiction Test among Chinese undergraduate students
Wei, Z., Hassan, N. C., Hassan, S. A., Ismail, N., Gu, X., & Dong, J. (2025) · PLOS One · doi:10.1371/journal.pone.0320641 · Cited by 19 · see citing works
“The detailed profile of internet usage behaviors provides valuable context for interpreting internet addiction scores and aligns with recent literature emphasizing the importance of considering specific online activities in addiction research [75,76].”
The e-learning persuasion through gamification: an elaboration likelihood model perspective
Jayawardena, N. S. (2020) · Young Consumers Insight and Ideas for Responsible Marketers · doi:10.1108/yc-08-2020-1201 · Cited by 26 · see citing works
Marengo, D., Sariyska, R., Schmitt, H., Meßner, E.-M., Baumeister, H., Brand, M., Kannen, C., & Montag, C. (2021) · Journal of Medical Internet Research · doi:10.2196/27093 · Cited by 20 · see citing works
“…users to broadcast messages, pictures, or videos to an extensive network of smartphone users and receive feedback (ie, comments and likes) on the shared content—a feature that is distinctive from those offered by IM apps and may play a crucial role in triggering problematic behaviors [4,5].”
Self-citationSocial media and ADHD: implications for clinical assessment and treatment
Hartnett, Y., & Cummings, E. M. (2023) · Irish Journal of Psychological Medicine · doi:10.1017/ipm.2023.40 · Cited by 20 · see citing works
“Capturing the attention of users and keeping the user online longer through its design features is a primary target of social media companies; an example of this is the ‘ continuous scroll ’ on most platforms (Montag et al ., 2019).”
BackgroundWu, Y.-L., Lin, S., & Lin, Y. (2021) · Journal of Behavioral Addictions · doi:10.1556/2006.2020.00074 · Cited by 20 · see citing works
“(Montag et al. 2019) *Corresponding author.”
BackgroundMethodInfluentialMarengo, D., Montag, C., Mignogna, A., & Settanni, M. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.830120 · Cited by 20 · see citing works
Self-citationSocial media companies or their users—which party needs to change to reduce online time?
Montag, C., Thrul, J., & van Rooij, A. J. (2022) · Addiction · doi:10.1111/add.15946 · Cited by 19 · see citing works
Self-citationFear of Missing Out and Problematic Social Media Use: A Research Among University Students in Turkey
KIRIK, A. M., Çetinkaya, A., & Gündüz, U. (2021) · AJIT-e Academic Journal of Information Technology · doi:10.5824/ajite.2021.04.001.x · Cited by 21 · see citing works
“While researchers have moved away from addiction terminology regarding digital technology use (see Panova & Carbonell, 2018) the potentially negative effects of social media overuse have nonetheless received substantial attention over the past years (Montag et al., 2019).”
BackgroundZhang, L., Luo, T., Hao, W., Cao, Y., Yuan, M., & Liao, Y. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.848157 · Cited by 18 · see citing works
“The current study found that smartphones may be more addictive than other devices for pathological gamers, and this finding is supported by Christian Montag’s study (38, 39).”
ResultGugushvili, N., Täht, K., Ruiter, R. A. C., & Verduyn, P. (2022) · BMC Psychology · doi:10.1186/s40359-022-00990-7 · Cited by 20 · see citing works
“Additionally, Montag and colleagues [54, 55] argue that due to the Data Business Model (DBM), social networking sites, including Facebook, are designed to make people spend long periods of time on these platforms.”
Background
- Authors
- Montag, C., Lachmann, B., Herrlich, M., & Zweig, K.
- Affiliations
- Universität Ulm (DE)
- University of Kaiserslautern (DE)
- Corresponding author
- Montag, Christian
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2019-07-23
- Volume
- 16
- Issue
- 14
- Pages
- 2612
- ISSN
- 1660-4601 (ISSN-L)
- PMC
- PMC6679162
- OpenAlex
- W2964135621
- Semantic Scholar
- 90a771a9e57999233e6bce76a39b3790d856b095
- Cited by
- 387
- References
- 104
- Citations by year
- 2026: 89 · 2025: 86 · 2024: 38 · 2023: 63 · 2022: 45 · 2021: 39 · 2020: 26 · 2019: 1
- FWCI
- 7.25
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Deutsche Forschungsgemeinschaft (MO2363/3-2)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Physical Sciences › Computer Science › Computer Science Applications › Digital Media and Philosophy
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- smartphone addiction, social media applications, mere exposure effect, endowment effect, Zeigarnik effect, social comparison, psychological mechanisms, economic theory
- MeSH terms
- Games, Recreational, Smartphone, Humans, Behavior, Addictive, Social Media, Mobile Applications
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review