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Communication studies online dating tinder paper

Tinder Use and Romantic Relationship Formations: A Large-Scale Longitudinal Study,Most viewed

 · Still, all of this sheds little light on the consequences of using the app. Prior research on online dating has indicated that within the shopping logic of online dating, a lack of comprised of peer-reviewed studies conducted on online-dating and news articles, and apply the theoretical framework and ideas to primary sources that encompass personal anecdotes Missing: communication studies  · Webb's experience with online dating shows how online dating can become more than a game but also a social experiment revealing valuable facts. It seems that online dating With 55 billion matches to date, Tinder® is the world’s most popular dating app, making it the place to meet new people. Tinder. Tinder. Close. Let’s be real, the dating landscape looks Missing: communication studies ... read more

It should be noted, however, that a positive association between alcohol and substance use and romantic relationship formation has not been a consistent finding in the literature Kandel et al.

Thus, one could assume that alcohol and illegal substance use may only predict romantic relationship formation in certain types of populations, such as student populations in which alcohol use, including heavy alcohol use, is the norm and in which severe and detrimental alcohol and drug problems might be less common Erevik et al. The current findings have implications for future research.

The observed associations between Tinder use and individual characteristics in terms of demographics, personality, mental health and alcohol and substance use, suggest that future studies investigating outcomes related to Tinder use, should include and control for these variables.

The current findings also raise some research questions for future studies. An investigation of the cross-lagged relationship between alcohol use and mental health and Tinder use could better elucidate the temporal relationship between the variables in question.

Future studies may also investigate possible mediation pathways between Tinder use, personality, substance use, and romantic relationship formation, e. Further, even if Tinder use did not predict romantic relationship formation in the current study when covariates were controlled for, it is still possible that certain subgroups may have an increased likelihood of romantic relationship formation via Tinder as compared to other arenas for dating Grøntvedt et al.

Investigating the associations between Tinder use and romantic relationship formations in such subgroups could be an interesting inquiry for future studies. Subgroups that may have a higher likelihood of romantic relationship formation through Tinder, compared to other arenas, include individuals who have a hard time approaching potential romantic partners in off-line settings or who seldomly seek settings in which one could meet a partner, e. Both some limitations and strengths of the presented study should be noted.

Exploring this in future studies would offer an opportunity to investigate whether different motives for Tinder use are associated with different rates of success in terms of romantic relationship formation.

Further, an important limitation is that we do not know if those who formed romantic relationship met their partner trough Tinder or if their partner even used Tinder before they met. Another limitation is lack of information regarding details about the nature of the romantic relationships e.

There are also potential issues concerning the generalizability of the findings as the sample consisted only of relatively young students in Norway. Tinder is, however, mainly used by young individuals, which suggest that the finding may be relevant for most Tinder users Smith and Anderson, Despite these limitations, a major asset of the current study is the relatively large sample size and its longitudinal design.

Further, the research questions were novel; hence, the current study contributes such with several unique findings e. The results also suggest that Tinder users differ from non-users in terms of demographical, personality, mental health, and alcohol and substance use characteristics.

The data analyzed in this study is subject to ethical restrictions. Requests to access these datasets should be directed to EE, eilin. erevik uib. The studies involving human participants were reviewed and approved by Regional Committee for Medical and Health Research Ethics, Western Norway.

SP, EE, and TT conceived, designed, and preformed the research. EE and JK conceived and designed the specific study and analyzed the data. JK, EE, SP, ØV, and TT contributed to the writing of the manuscript. All authors contributed to the article and approved the submitted version.

Research reported in this publication was funded by the University of Bergen and the Bergen municipality. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Adamczyk, A. Religion and sexual behaviors: understanding the influence of Islamic cultures and religious affiliation for explaining sex outside of marriage. doi: CrossRef Full Text Google Scholar. Adamczyk, K. PubMed Abstract CrossRef Full Text Google Scholar. Ahrold, T. Ethnic differences in sexual attitudes of US college students: gender, acculturation, and religiosity factors.

Babor, T. The Alcohol Use Disorders Identification Test: Guidelines For Use In Primary Care. Geneva: World Health Organization. Google Scholar. Bohn, M. The alcohol use disorders identification test AUDIT : validation of a screening instrument for use in medical settings.

Botwin, M. Personality and mate preferences: five factors in mate selection and marital satisfaction. Buss, D. Sex differences in human mate preferences: evolutionary hypotheses tested in 37 cultures. Brain Sci. Gangestad and J.

Simpson New York, NY: Guilford Press , — Carpenter, C. The players of micro-dating: individual and gender differences in goal orientations toward micro-dating apps. First Monday Cohen, J. Statistical Power Analysis For The Behavioral Sciences , 2nd Edn, Hillsdale: Erlbaum. Derogatis, L. Hopkins symptom checklist HSCL : self-report symptom inventory.

Donnellan, M. The Mini-IPIP scales: tiny-yet-effective measures of the big five factors of personality. Duguay, S. Dressing up tinderella: interrogating authenticity claims on the mobile dating app Tinder. Erevik, E. Demographics, personality and substance-use characteristics associated with forming romantic relationships.

Alcohol use among Norwegian students: demographics, personality and psychological health correlates of drinking patterns. Alcohol Dr. Recurrent cannabis use among Norwegian students: prevalence, characteristics, and polysubstance use.

Figueredo, A. The ideal romantic partner personality. Fletcher, G. Pair-bonding, romantic love, and evolution: the curious case of Homo sapiens.

Fu, H. Incorporating health into models of marriage choice: demographic and sociological perspectives. Marriage Fam. Grøntvedt, T. Hook, line and sinker: do tinder matches and meet ups lead to one-night stands? Hobbs, M. Liquid love? dating apps, sex, relationships and the digital transformation of intimacy. Holloway, I. Acceptability of smartphone application-based HIV prevention among young men who have sex with men. AIDS Behav. Isaiah Green, A. Deviant Behav.

Jakobwitz, S. The dark triad and normal personality traits. Kandel, D. The consequences in young adulthood of adolescent drug involvement: an overview. Karl, K. A cross-cultural examination of personality differences.

Kiecolt-Glaser, J. Marriage and health: his and hers. Larsen, R. Personality Psychology: Domains Of Knowledge About Human Nature. Berkshire: McGraw Hill Education.

LeFebvre, L. Swiping me off my feet: explicating relationship initiation on Tinder. Leonard, K. Alcohol and the marriage effect. Alcohol Suppl. McCrae, R. An introduction to the 5-factor model and its applications. Meyer, D. A cross-national examination of marriage and early life stressors as correlates of depression, anxiety, and stress. Monahan, J. Alcohol as social lubricant: alcohol myopia theory, social self-esteem, and social interaction.

Nargund, G. Declining birth rate in developed countries: a radical policy re-think is required. Views Vis. Nedregård, T. Studentenes Helse- Og Trivselsundersøkelse Neyer, F. Relationships matter in personality development: evidence from an 8-year longitudinal study across young adulthood.

Orosz, G. Too many swipes for today: the development of the problematic tinder use scale PTUS. Petraitis, J. Sex differences in the attractiveness of hunter-gatherer and modern risks. Ranzini, G. Love at first swipe? explaining tinder self-presentation and motives. Media Commun. Regan, P. The Mating Game: A Primer On Love, Sex, And Marriage , 3rd Edn, Los Angeles, CA: Sage Publications.

Reis, H. Social cognition in relationships: building essential bridges between two literatures. Riley, N. Tinder Is Tearing Society Apart. New York, NY: New York Post.

Robinson, P. The Convergence Of High-Risk Sexual Behaviors, Online Dating, And Mental Health Among Gay, Bisexual, And Queer Men. Doctoral dissertation, Palo Alto University, Palo Alto, CA. Sales, N. Sevi, B. The dark side of tinder: the dark triad of personality as correlates of tinder use.

Shaver, P. Smith, A. Washington, DC: Pew Research Center. Stavrova, O. A longitudinal analysis of romantic relationship formation: the effect of prosocial behavior. Strubel, J. Love me tinder: body image and psychosocial functioning among men and women.

Body Image 21, 34— Sumter, S. Dating gone mobile: demographic and personality-based correlates of using smartphone-based dating applications among emerging adults. New Media Soc. Timmermans, E. Tinder About Tinder.

Valkenburg, P. Who visits online dating sites? Exploring some characteristics of online daters. Yu, J. Young people of Chinese origin in western countries: a systematic review of their sexual attitudes and behaviour. Health Soc. Care Commun. Keywords : romantic relationships, Tinder, students, demographics, personality, mental health, substance use. Citation: Erevik EK, Kristensen JH, Torsheim T, Vedaa Ø and Pallesen S Tinder Use and Romantic Relationship Formations: A Large-Scale Longitudinal Study.

Received: 21 April ; Accepted: 25 June ; Published: 14 August Copyright © Erevik, Kristensen, Torsheim, Vedaa and Pallesen. This is an open-access article distributed under the terms of the Creative Commons Attribution License CC BY. The use, distribution or reproduction in other forums is permitted, provided the original author s and the copyright owner s are credited and that the original publication in this journal is cited, in accordance with accepted academic practice.

No use, distribution or reproduction is permitted which does not comply with these terms. Erevik, eilin. However, satisfaction with the app was positively associated with mood. This begs the question whether both variables i. Therefore, a supplementary model was computed, also including an interaction term between time of experience with using Tinder and satisfaction with the app.

More experienced users that were satisfied with the app generally tended to report better moods right after using the app. This article presents a conceptual structuration model that considers algorithmic governance of online platforms as the dynamic interplay of three types of actors: platform owners and developers, machine learning algorithms and platform users.

More specifically, platform owners design the architectures and construct the discourses tied to services van Dijck, Within a technological and commercial logic, they set out the potential parameters and preferred targets for self-learning algorithms.

These mechanisms work semi-autonomously in developing the recipe to push users into desired behavior Alpaydin, Still, users are the key resource for this learning activity by providing the necessary data.

This implies that users at least indirectly, and probably unknowingly, have a hand in how a platform operates and develops. Users have the ability to attempt to resist platform algorithms by trying to figure out the essence of their mechanics and act accordingly Bucher, We argued that in current models of media effects, the influence of algorithms is mainly ignored. This obscures how exposure comes about as an interaction between users and algorithms.

Unfortunately, platforms rarely communicate on how their algorithms work, which complicates our understanding of how they affect exposure and users.

To indirectly explain the interaction between algorithms and users, we argued in favor of adopting insights from the C PE of online media and platform studies.

These perspectives have thoroughly analyzed the technical and economic backgrounds of numerous platforms. As such, both perspectives are complementary and benefit from being jointed together. The unique combination allows to derive assumptions on how algorithms work, and allow to gather data to test hypotheses on associations between input, output, and effects measures. More specifically, we successfully appropriated experience sampling to measure user action input , exposure output , and effects immediately after a usage session.

This offered a glimpse into the black box, without actually having to open it. It feeds back to media effects research by refining its conceptual model to fit algorithmically-governed platforms and by offering a method for empirical research. This proof of concept focused on Tinder and the supposed general mechanics of its algorithm. It showed that swipe activity is curvilinearly, rather than linearly related to profile interestingness and the number of matches.

Such findings suggest that, at least for non-paying users, more swipe activity does not necessarily relate to more outcomes i. It is reasonable to assume that Tinder deliberately limits these outcomes.

It prohibits its major assets of attractive profiles and liked profiles to run out too soon. This could be considered as an element that frustrates users to convert them into paying customers. Tinder incorporates a mechanism that explicitly, and apparently successfully, dissatisfies users by restricting their number of free likes; a restriction that is taken away by simply buying a premium subscription.

However, the current data do not support usage frequency intervals as an important factor in showing interesting profiles and allowing matches. We assumed that this would point platforms to users that pose a potential threat for dropping out.

Offering more matches could entice them to return, or become more active. However, we did find an effect of chronology of forms, which points to a similar logic, although based on the overall activity. The more Tinder is recurrently used, the lower the number of matches becomes.

Still, we need to consider that this is only an indirect indicator in this study. We expected similar effects of interestingness of profiles, which could not be confirmed. A plausible explanation is that Tinder attempts to continually feed users anticipation of potentially getting attractive matches, regardless of activity frequency.

Also, attractive profiles are a resource that are not as scarce as attractive profiles that warrant a match. This study sheds preliminary light on possible effects that using the app provokes. The analyses show that the longer it has been since Tinder was first ever used, the more negative participants reported on their mood after using the app. However, this effect is less pronounced for participants who are more satisfied with the app.

If we take into account that the key features explaining satisfaction i. This implies that research on online media effects that solely draws on either an exposure-effects or a selective exposure logic remains oblivious to the genuine complexity that underlies this exposure. Exposure to online platforms is a media effect in itself that provokes other effects. This study suggests that longitudinal efforts that closely focus on user activity and exposure as it occurs could help in overcoming this fundamental caveat.

This proof of concept of a structuration approach to research algorithmically-governed platforms not only fits Tinder, but virtually any platform. However, a significant challenge in generalizing its methodology is that platforms characterized by a wide array of input and output variables are probably too complex to capture in their entirety. It should be noted, however, that it is not our ambition to reverse engineer algorithms or capture their finest nuances, rather than uncovering and testing their general mechanisms.

Still, this study is inevitably characterized by several limitations. Despite the considerable number of completed forms, it draws upon a relatively small sample of users. This only allows us to reliably test relatively simple statistical models. Due to required investment, it is difficult to engage a large number of participants. Also, the sample includes few paying users.

It is unclear whether they are treated differently by the algorithm. We also noticed that some participants struggled with setting up the ESM app, in spite of detailed user guides. Finally, we need to acknowledge that effects measures in this study are far from perfect. For these reasons, we encourage further theoretical and methodological developments that render this logic applicable to more complex platforms with a wider range of less evidently identifiable input and output variables, and for a wider array of more refined media effects.

The framework could also be applied in an experimental setting to test whether algorithmic awareness affects user agency and outcomes. Allison , P. Logistic regression using SAS: Theory and application. Cary, NC : SAS Institute.

Google Scholar. Google Preview. Alpaydin , E. Introduction to machine learning. Cambridge, MA : MIT press. Bosker , B. Bryant , J. Media effects: Advances in theory and research.

New York : Routledge. Bucher , T. The algorithmic imaginary: exploring the ordinary affects of Facebook algorithms. Burrell , J. Crain , M. The limits of transparency: Data brokers and commodification. David , G. Screened intimacies: Tinder and the swipe logic. van Dijck , J. The culture of connectivity: A critical history of social media. Oxford, UK : Oxford University Press. Domingos , P. The master algorithm. London : Penguin.

Duguay , S. Dressing up Tinderella: Interrogating authenticity claims on the mobile dating app Tinder. Fisher , E. Reconsidering value and labour in the digital age. New York : Palgrave Macmillan. Fuchs , C. Digital labour and Karl Marx. London, UK : Routledge. Giddens , A.

The constitution of society: Outline of the theory of structuration. Berkeley : University of California Press. Gillespie , T. The relevance of algorithms. Gillespie , P. Foot Eds. Cambridge, MA : MIT Press. Greenhalgh , T. Theorising big IT programmes in healthcare: Strong structuration theory meets actor-network theory. Harrison , G. Google, Big Data, and Hadoop. Next Generation Databases: NoSQL, NewSQL, and Big Data. Berkeley, CA : Apress. Heino , R. Relationshopping: Investigating the market metaphor in online dating.

Journal of Social and Personal Relationships , 27 4 , — Hektner , J. Experience sampling method: Measuring the quality of everyday life. Thousand Oaks, CA : Sage. Helmond , A. The platformization of the web: Making web data platform ready. About IAC. Kenney , M. The rise of the platform economy. Issues in Science and Technology , 32 3 , 61 — Knobloch-Westerwick , S.

Choice and preference in media use: Advances in selective exposure theory and research. Kosoff , M. You have a secret Tinder rating—but only the company can see what it is. Langley , P. Platform capitalism: The intermediation and capitalisation of digital economic circulation.

Finance and Society , 3 1 , 11 — Latour , B. Reassembling the social: An introduction to actor-network-theory. Oxford : Oxford Univserity Press. Lomborg , S. Using APIs for data collection on social media. The Information Society , 30 4 , — MacKee , F. Social media in gay London: Tinder as an alternative to hook-up apps. doi: Mackenzie , A. Programming subjects in the regime of anticipation: Software studies and subjectivity. Subjectivity , 6 4 , — Business Overview. Mateo Navarro , P.

International Journal of Human—Computer Interaction , 30 12 , — McAlone , N. Tinder angers swipe-happy users. Pavot , W. Further validation of the Satisfaction With Life Scale: Evidence for the cross-method convergence of well-being measures.

Journal of Personality Assessment , 57 1 , — Peacock , S. How web tracking changes user agency in the age of Big Data: The used user. Plantin , J. Infrastructure studies meet platform studies in the age of Google and Facebook. Robins , R. Measuring global self-esteem: Construct validation of a single-item measure and the Rosenberg Self-Esteem Scale. Personality and Social Psychology Bulletin , 27 2 , — Seufert , E. Freemium economics: Leveraging analytics and user segmentation to drive revenue.

Waltham, MA : Morgan Kaufmann. Slater , M. Reinforcing spirals: The mutual influence of media selectivity and media effects and their impact on individual behavior and social identity. Communication Theory , 17 3 , — Stones , R. Structuration theory. New York : Palgrave-McMillan. Summers , N. As Tinder flirts with ads, is it worth millions—or billions? Skip the line with Tinder Boost. de Vreese , C.

Measuring media exposure in a changing communications environment. Communication Methods and Measures , 10 2—3 , 69 — Willson , M. Algorithms and the everyday. Zhang , M. Building Tinder. Zytko , D. Impression management struggles in online dating. Paper presented at the Proceedings of the 18th International Conference on Supporting Group Work, Sanibel Island, FL. Oxford University Press is a department of the University of Oxford. It furthers the University's objective of excellence in research, scholarship, and education by publishing worldwide.

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Sign In. ICA Journals. Advanced Search. Search Menu. Article Navigation. Close mobile search navigation Article Navigation. Volume Article Contents Abstract. A tripartite structuration process. Discussion and conclusion. Journal Article. Cracking the Tinder Code: An Experience Sampling Approach to the Dynamics and Impact of Platform Governing Algorithms.

Cédric Courtois , Cédric Courtois. School for Mass Communication Research, KU Leuven, Leuven. Corresponding author: Cédric Courtois; e-mail: cedric. courtois soc. Oxford Academic. Elisabeth Timmermans. Department of Media and Communication.

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Schematic overview of the conceptual model and study hypotheses. Satisfaction with Tinder. Intercept 1. Open in new tab. a Interestingness of proposed profiles. b Number of matches. c Current Mood. Google Scholar Google Preview OpenURL Placeholder Text. Google Scholar Crossref. Search ADS. Google Scholar OpenURL Placeholder Text. van Dijck. Mateo Navarro. de Vreese. Issue Section:.

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See also Companion Article Corrigendum: Cracking the Tinder Code: An Experience Sampling Approach to the Dynamics and Impact of Platform Governing Algorithms.

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I was feeling lonely back in my hometown because most of my friends had started romantic relationships while I was abroad. We both decided to download Tinder and see what happened. Without the app we may have never met and embarked on this wild, wonderful journey.

Thank you for bringing us and so many other couples together around the world. I will forever be grateful. Thanks to Tinder I have found the love of my life and we are to be married. After going on a few dates and having a few fun nights I came across Miranda. I met my fiancé on tinder during the quarantine for COVID.

She is from Lafayette, Indiana and I am from Cleveland, Ohio. We are both Christians who fell madly in love. I honestly had been on many Tinder dates and was absolutely sure I was meeting a fling to get a free meal and have some fun…3 years and sooo many dates and memories later, I am married to my Tinder guy, Kenny!

THANK YOU for making it possible for me to meet my soulmate. Five minutes into our first conversation, my now-wife mentioned how we would have an amazing wedding. just gotten out of a bad breakup and created a Tinder account to keep my mind off the breakup. After about a week of talking, we decided to meet up at a local bar for drinks we decided to tie the knot in an 18 person ceremony in New Jersey on June 27th We were at a crossroads and so after a few months of casually dating, we decided to end things.

I was in love, but thought this love story wasn't meant to last. Fast forward 9 months, and we had become inseparable. He hit me with one the WORST pick up lines I had ever seen, but being bored at work, I decided to reply. From there we never stopped talking, dating each other and falling deeper in love. For all the single people out there, especially introverted ones like us: do not be afraid to travel outside of your comfort zone.

Tinder brought us together and for that, I am forever grateful. I was also adamant the next man I'd be with and commit to, would be the man I'd spend the rest of my life with just not married. I was very fussy and didn't expect to meet a man on Tinder. I decided to sign up anyways and just match away and see what happened. My college roommate and I both would stay up on Tinder, not looking for anything serious also not looking for hookups though, just entertainment.

My now husband and I matched on Tinder. I didn't think anything would ever come about from it, but one day I saw this stunning beauty come across the app. I Super Liked her, paying a dollar extra for the Super Like! I had just gotten out of a relationship, and Annie had just started dating women so we were both nervous and treading lightly for a little bit!

We both fell hard and fast and knew we had found our person fairly quickly. In order to use Tinder on the web please enable javascript in your browser settings. Tinder Tinder Close. Swipe Right®. Download for iOS. All photos are of models and used for illustrative purposes only. Tinder Opens in a new window. Tinder Choose a language English. Sorry, Javascript is Disabled In order to use Tinder on the web please enable javascript in your browser settings.

Swipe Right®,Introduction

 · Webb's experience with online dating shows how online dating can become more than a game but also a social experiment revealing valuable facts. It seems that online dating  · Still, all of this sheds little light on the consequences of using the app. Prior research on online dating has indicated that within the shopping logic of online dating, a lack of With 55 billion matches to date, Tinder® is the world’s most popular dating app, making it the place to meet new people. Tinder. Tinder. Close. Let’s be real, the dating landscape looks Missing: communication studies comprised of peer-reviewed studies conducted on online-dating and news articles, and apply the theoretical framework and ideas to primary sources that encompass personal anecdotes Missing: communication studies ... read more

This suggests that over time, the number of matches tends to decline. Users log on with their Facebook account, and quickly set up a profile that is predominantly made up by pictures. Deviant Behav. These perspectives have thoroughly analyzed the technical and economic backgrounds of numerous platforms. A total of 2. I was also adamant the next man I'd be with and commit to, would be the man I'd spend the rest of my life with just not married. Tinder users had higher scores on extroversion and agreeableness and lower scores on openness compared to non-users.

THANK YOU for making it possible for me to meet my soulmate. Mental Health Mental health was assessed using the Hopkins Symptoms Check List HSCL Derogatis et al, communication studies online dating tinder paper. Citation: Erevik EK, Kristensen JH, Torsheim T, Vedaa Ø and Pallesen S Tinder Use and Romantic Relationship Formations: A Large-Scale Longitudinal Study. Introduction The prevalence rates of singledom and childlessness are increasing in Western and Asian societies Nargund, ; Adamczyk, The project was approved by the Regional Committee for Medical and Health Research Ethics, Western Norway no.

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