According to a 2023 survey conducted in Great Britain, 55 percent of dating app users said that such apps were convenient, and 50 percent said that one of the advantages of online dating was the constant accessibility. In addition, 48 percent of respondents said it was easy to talk to someone on a dating app.

Lovoo v3 Dating App User Profiles and Statistics

Revealing popular user traits and behavior

By Jeffrey Mvutu Mabilama [source]

About this dataset

When Dating apps like Tinder began to become more popular, users wanted to create the best profiles possible in order to maximize their chances of being noticed and gain more potential encounters. Unlike traditional dating platforms, these new ones required mutual attraction before allowing two people to chat, making it all the more important for users to create a great profile that would give them an advantage over others.

It was amidst this scene that we Humans began paying attention at how charismatic and inspiring people presented themselves online. The most charismatic individuals tended to be the ones with the most followers or friends on social networks. This made us question what makes a great user profile and how one could make a lasting first impression in order ensure finding true love or even just some new friendships? How do we recognize a truly charismatic person from their presentation on social media? Is there any way of quantifying charisma?

In 2015 I set out with researching all this using Lovoo's newest dating app version -V3 (the iOS version), gathering user profile data such as age demographics, interest types (friendship, chatting or dating), language preferences etc., as well as usually unavailable metrics like number of profile visits, kisses received etc. I was also able to collect pictures of those user profiles in order discern any correlations between appeal and reputation that may have existed at that time amongst Lovoo's population base.

My goal is forthis dataset will help you answer those questions related not just romantic success but also popularity/charisma censes/demographic studies and even detect influential figures both within & outside Lovoo's platform . A starter analysis is available accompanying this dataset which can be used as a reference point when working with the data here. Using this dataset you can your own investigations into:

  * What type of person has attracted more visitors or potential matches than others?   
  * Which criteria can be used when determining someone’s charm/likability among others    ?
  * How does one optimize his/her dating app profile visibility so he/she won’t remain unseen among other users? 

Grab this amazing opportunity now! Kick-start your journey towards understanding the inner workings behind success in online relationships today!

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How to use the dataset

To get started with this dataset first you need to download it from Kaggle. Once downloaded you should take a look at the column names in order to get an idea of what information is available. This data includes fields such as gender, age name (and nickname), number of pictures uploaded/profile visits/kisses /fans/gifts received and flirt interests (chatting or making friends). It also contains language specifics like detected languages for each user as well as country & city of residence.

The most interesting section for your research is likely the number of details that have been filled in for each user – such as whether they are interested in chatting or making friends. Usually these information points allow us to infer more about a person’s character – from jokester to serious individualist (or anything else!). The same holds true for their language preferences which might reveal aspects regarding their cultures orientation or habits.

You may also want collected data which was left out here - imagery associated with users' profiles - so please contact JfreexDatasets_bot on Telegram if you would like access to this imagery that has not yet been uploaded here on Kaggle but is intregral part of understanding what makes a great user profile attractive on these platforms according Aesthetics Theory applied in an uthentic way when considering how each image adds sentimental appeal value by its perspective content focus - be it visually descriptive; emotive narrative; personality coupled with expression mood association.. etcetera... Or simple just download relevant images yourself using automated scripts ready made via webiste Grammak where Github Repo exists: https://github.com/grammak580542008/Lovoo-v3-Profiles-Data # 1 year ago...

Finally moving ahead — keep in mind that there are other ways data can be gathered possible besides just downloading it from Kaggle – such us Messenger Bots or Customer Relationship Management systems which help companies serve...

According to a survey conducted in February 2021 asking Japanese what merits they saw in conducting marriage dates via video call, around ** percent appreciated having no commute to the date location. More than ** percent also remarked the reduced costs when dating online. Rooted in a traditional Japanese matchmaking custom, in which potential spouses were introduced to each other in their families' company, the term omiai nowadays refers to a rather organized dating process directed at people actively looking to get married. Amid social distancing measures implemented due to the coronavirus (COVID-19) pandemic, popular Japanese omiai agencies such as IBJ have started offering their dating services online, including organized video chats among their clients.

In 2023, Tinder was the dating app with the highest number of monthly active users (MAUs) in India, amounting to just under ************ on average. This was followed by Bumble. Meanwhile, Indian matrimonial services Shaadi.com and Jeevansathi were fairly popular, with roughly ************ MAUs on average. User demographics and behavior The popularity of dating apps in India is particularly pronounced among younger adults, with ** percent of users aged between 25 and 34 years old. This age group also represents the largest share of Tinder users in India, accounting for more than **** of the app's user base. While a large majority of Indians still do not use dating apps, those who do tend to be frequent users. Interestingly, most Indians accessed these platforms every day, and this frequent engagement suggests that dating apps have become an integral part of many Indians' social lives. Cultural considerations and challenges Despite the growing popularity of dating apps, cultural factors continue to influence their adoption and perception in India. A significant portion of Indians believe that dating apps are not well-suited to their culture. However, these apps do offer certain advantages, with ** percent of users feeling more comfortable making the first move online and appreciating the opportunity to meet people they would not encounter otherwise. These mixed sentiments highlight the complex relationship between technology and traditional dating norms in India

The data is from the article "Privacy Signals: Exploring the Relationship Between Cookies and Online Purchase Intention" and shows consumer perceptions of website transparency about cookie requests in the e-commerce environment. Overall, we used a quantitative methodology, through a descriptive study and four experimental studies. The results studies show that cookie acceptance positively influences the intention to purchase, only when the consumer accepts cookie collection and when they have a need for the product, resulting in greater perception of benefits associated with information disclosure. Risks did not show significance in this process. However, providing more information to consumers about data collection is advantageous because the intention to purchase is higher, even for those who do not accept cookies. The data for the experiments were collected using Qualtrics software and online, using Facebook, through sponsored ads to ensure the randomness of responses. The products used in the experiment scenarios were chosen because of the pandemic context, where the consumption of products used in the home increased, to the detriment of superfluous or luxury products. The samples of the experiments respected the minimum criteria of 30 people in each experiment condition, as suggested by Hair et al. (2009). Statistical analyses were done through IBM SPSS Statistics statistical software using the Procces macro, which is an extension created for SPSS for multivariate data analysis and mediation analysis, as well as integrated conditional process models (Hayes, 2018). Finally, we also used General Linear Model (GLM) in the analyses, as it is an extension of the linear regression model and indicated in cases of probability distributions other than the normal distribution, which makes it more flexible to handle the data (Hair et al. 2009).

In this age of unprecedented expansion of media and information dissemination and sharing, the use of electronic means should be reconsidered. The use of new technologies should be studied to understand how it may affect the relationship between patient and therapist during psychotherapy or psychoanalytic treatments. This study offers a critical discussion of the effect of technologies on clinical practice, and vignettes are used to describe their impact on frame, anonymity, abstinence and therapeutic neutrality. Transfer and countertransference issues resulting from these changes are also discussed. The potential benefits of new technologies in psychotherapy are appreciated, but the authors draw attention to the need to reflect about the presence of the therapist in those technologies and the preservation of the therapeutic setting, so that a satisfactory progression of the work of the dyad is ensured. This study also discusses the use of technologies in the expansion of learning and application of the therapeutic technique to overcome geographic and time barriers, among others.

Video gaming is a popular way for gamers to connect with friends and family, and many gamers have formed relationships through video games. During a February 2025 survey, 78 percent of responding gamers in the United States agreed that playing games can introduce people to new friends.

ABSTRACT Purpose: Against the backdrop of the transaction costs and theoretical strands of thought in authors of the strategic logistics management (SLM), operational performance (OP), and the internet of things (IoT), the purpose of this study is to verify if the IoT performs a mediating effect on the relationship between SLM and OP. Originality/value: The bibliometric study indicated that studies on the IoT aimed at the business area are still scarce. Therefore, there is a prospect of expansion of the knowledge frontier of the administration field. This article seeks to show whether the IoT has a mediating influence on the relationship between SLM and OP, in addition to highlighting the most significant variables of each construct. This study can help business managers and researchers to identify the benefits of adopting IoT. Design/method/approach: For that, a quantitative research was carried out. The research collected data through a semi-structured questionnaire with a sample of 76 companies. Data were treated by descriptive statistics and multivariate statistics with the modeling technique in structural equations. Before the application of the modeling technique in structural equations, data were submitted to tests of convergent and discriminant validity. Findings: The IoT plays a mediating but partial role in the relationship between SLM and OP. Implementing the IoT provides better efficiency by enabling proactive decisions, interconnecting resources, automating, streamlining, remotely controlling, generating customer information, and eliminating errors.