# What Happens After You Both Swipe Right: A Statistical Description of Mobile Dating Communications

**Authors:** Jennie Zhang, Taha Yasseri  
**arXiv:** [1607.03320](https://arxiv.org/abs/1607.03320)  
**Date:** 2016-07-12  
**Summary page:** https://www.summarizepaper.com/en/paper/1607.03320v1/

## Key points

- The popularity of mobile dating applications (MDAs) has surged in recent years
- Platforms like Tinder match 26 million pairs of users daily and have become integral to modern dating culture
- Mobile dating apps enable a unique form of mediated communication through dyadic mobile text messages between unfamiliar users
- The rise of mobile dating has opened up avenues for analyzing digital interactions on a large scale
- Vast amounts of data generated by instant matching and messaging features across various platforms allow for in-depth research
- Men initiate a significant majority (79%) of conversations on these platforms
- Roughly half of initial messages receive responses, with conversations initiated by men more likely to be reciprocated
- Conversation length, waiting times between messages, and message length follow fat-tailed distributions
- Most reciprocated conversations lead to a phone number exchange within the first 20 messages exchanged
- Research provides valuable insights into the dynamics of mobile dating interactions and highlights key trends shaping user behavior and outcomes

## Summary

In recent years, the popularity of mobile dating applications (MDAs) has surged. Platforms like Tinder match 26 million pairs of users daily and have become integral to modern dating culture. These apps enable a unique form of mediated communication through dyadic mobile text messages between unfamiliar users. The rise of mobile dating has also opened up avenues for analyzing digital interactions on a large scale. The vast amounts of data generated by instant matching and messaging features across various platforms allow for in-depth research. One study examined metadata from approximately two million conversations among 400,000 heterosexual users on an MDA to provide the first comprehensive quantitative overview of mobile dating practices. For instance, men initiate a significant majority (79%) of conversations on these platforms. While roughly half of initial messages receive responses, conversations initiated by men are more likely to be reciprocated. Additionally, the analysis uncovered that conversation length, waiting times between messages, and message length follow fat-tailed distributions. Despite this variability, most reciprocated conversations lead to a phone number exchange within the first 20 messages exchanged. Overall, this research provides valuable insights into the dynamics of mobile dating interactions and highlights key trends that shape user behavior and outcomes in this evolving digital landscape. By exploring patterns within these vast datasets using computational analysis techniques, researchers can gain a deeper understanding of how individuals engage with MDAs and navigate the complexities of forming connections in virtual spaces.