World

Pakistani singles defy tradition, search for spouses in person

2024.08.24 04:22

By nida mehboob and Ariba Shahid

LAHORE, Pakistan (Reuters) – Dozens of young singles gathered this week to meet potential marriage partners in Pakistan’s eastern city of Lahore, the first attempt by a UK-based matrimonial app to help people find spouses in person in the conservative Islamic country.

Typically, marriages in Pakistan are arranged by parents who look for suitable matches for their children from within their communities or the extended family. Dating apps are generally stigmatised and gender segregation socially and at work remains common in the country of 240 million people. 

The Lahore event was organised by Muzz, formerly Muzzmatch, which says its app is based on Islamic etiquette. The app is restricted to Muslim users, and, in a nod to traditional values, gives the option of blurring pictures except for specific matches and allows for chaperones to oversee meetings.

Other smaller events are also emerging in the country to challenge traditional matchmaking norms.

Despite criticism online in the past for the app, the Muzz event was attended by about 100 people.

Aimen, a 31-year-old woman who did not want to be further identified, said she used the app on the recommendation of her U.S.-based brother.

“I used the app for two weeks, but then I saw an ad for this event and thought, why not meet people in person?” she told Reuters.

She said that her mother would have accompanied her as a chaperone but couldn’t attend because of ill-health.

Muzz, launched in 2015 in the Britain, which also has a sizeable Muslim population, has over 1.5 million users in Pakistan, its second-largest market after Morocco. 

Moaz, a 27-year-old man, said he has been using Muzz for a year and that he was hopeful of finding a wife through the app. 

“I do get matches, but they have different priorities,” he said adding that girls on the app expect him to involve his parents from the beginning. 

“That is not (immediately) possible,” he said, stressing the need of getting to know someone before taking the next big step. 

Annie’s Matchmaking Party, another Lahore event last week, used an algorithm to match 20 young professionals after a selection process and invited them to the meet.

Noor ul Ain Choudhary, the 30-year-old organizer, faced criticism online that her event promoted a “hookup culture”. She countered that it aimed to provide a safe space for singles to meet and connect.

“In Pakistan, we’ve had two options: biased arranged marriages or time-consuming dating apps with no guarantees. Safety during meetings is also a concern,” she said.

Abdullah Ahmed, 22, was bullish about in person events and said he was convinced he may have found his perfect match at the Muzz gathering. 

© Reuters. Maryam and Abdullah interact with fellow attendees during a matchmaking event organised by Muzz matrimony app at a cafe in Lahore, Pakistan, August 18, 2024. REUTERS/Nida Mehboob

“The highlight was meeting an amazing girl,” he said, beaming with excitement, adding that they instantly clicked and swapped social media handles. 

“We’re both Marvel fans! We’re already planning to catch the new Deadpool & Wolverine together,” he said. 



Source link

Related Articles

Back to top button
bitcoin
Bitcoin (BTC) $ 94,245.25 1.56%
ethereum
Ethereum (ETH) $ 3,338.87 0.22%
tether
Tether (USDT) $ 0.998633 0.03%
xrp
XRP (XRP) $ 2.15 0.57%
bnb
BNB (BNB) $ 694.37 0.94%
solana
Solana (SOL) $ 184.91 2.09%
dogecoin
Dogecoin (DOGE) $ 0.313395 0.16%
usd-coin
USDC (USDC) $ 1.00 0.02%
staked-ether
Lido Staked Ether (STETH) $ 3,335.59 0.18%
cardano
Cardano (ADA) $ 0.872886 1.09%
tron
TRON (TRX) $ 0.262309 3.31%
avalanche-2
Avalanche (AVAX) $ 36.61 1.99%
the-open-network
Toncoin (TON) $ 5.75 0.22%
wrapped-steth
Wrapped stETH (WSTETH) $ 3,963.81 0.22%
chainlink
Chainlink (LINK) $ 21.41 5.91%
shiba-inu
Shiba Inu (SHIB) $ 0.000022 0.62%
wrapped-bitcoin
Wrapped Bitcoin (WBTC) $ 94,131.22 1.37%
sui
Sui (SUI) $ 4.06 3.61%
bitget-token
Bitget Token (BGB) $ 8.28 9.42%
stellar
Stellar (XLM) $ 0.349468 1.95%
hedera-hashgraph
Hedera (HBAR) $ 0.27541 3.34%
polkadot
Polkadot (DOT) $ 6.90 1.00%
weth
WETH (WETH) $ 3,338.03 0.30%
hyperliquid
Hyperliquid (HYPE) $ 26.41 4.58%
bitcoin-cash
Bitcoin Cash (BCH) $ 441.29 0.77%
leo-token
LEO Token (LEO) $ 9.20 0.33%
uniswap
Uniswap (UNI) $ 13.27 1.11%
litecoin
Litecoin (LTC) $ 100.22 2.36%
pepe
Pepe (PEPE) $ 0.000018 2.61%
wrapped-eeth
Wrapped eETH (WEETH) $ 3,522.58 0.22%
near
NEAR Protocol (NEAR) $ 5.12 0.17%
ethena-usde
Ethena USDe (USDE) $ 0.997417 0.02%
usds
USDS (USDS) $ 1.00 0.13%
internet-computer
Internet Computer (ICP) $ 10.22 1.10%
aave
Aave (AAVE) $ 324.08 4.23%
aptos
Aptos (APT) $ 8.71 1.82%
polygon-ecosystem-token
POL (ex-MATIC) (POL) $ 0.479327 0.43%
crypto-com-chain
Cronos (CRO) $ 0.148061 1.88%
mantle
Mantle (MNT) $ 1.19 0.85%
ethereum-classic
Ethereum Classic (ETC) $ 25.94 0.34%
vechain
VeChain (VET) $ 0.045937 1.93%
render-token
Render (RENDER) $ 7.00 1.83%
monero
Monero (XMR) $ 194.90 3.28%
mantra-dao
MANTRA (OM) $ 3.72 1.55%
whitebit
WhiteBIT Coin (WBT) $ 24.60 0.28%
virtual-protocol
Virtuals Protocol (VIRTUAL) $ 3.45 15.26%
bittensor
Bittensor (TAO) $ 468.98 0.54%
dai
Dai (DAI) $ 0.999693 0.02%
fetch-ai
Artificial Superintelligence Alliance (FET) $ 1.30 2.03%
arbitrum
Arbitrum (ARB) $ 0.759321 0.38%