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Match Group Study Finds Singles Remain Wary Of AI In Dating

Recent research from Match Group, the parent company of Tinder, Hinge, and OkCupid, suggests that consumers still prefer human connection over artificial intelligence when it comes to dating.

Study Highlights Consumer Reservations

A survey of 1,000 U.S. singles aged 18 to 39 found that 47% hold negative views about the growing role of AI in dating. The findings come as companies across the sector continue to introduce AI features. Bumble has launched its AI-powered assistant Bee, Tinder has expanded its investment in AI tools, and former Hinge CEO Justin McLeod has shifted his focus to an AI-related venture. Despite these developments, the study suggests that users continue to place greater value on personal connections.

Differentiating AI Application From Connection Authenticity

Attitudes towards AI in dating remain mixed. According to the survey, 40% of singles would not date someone who uses an AI companion app. Among women aged 18 to 24, that figure rises to 51%.

At the same time, relatively few respondents reported using such applications. Just 12% of people aged 18 to 24 said they had used AI companion apps in recent months, and only a third said they were seeking genuine connections with chatbots. The study found that consumers are generally comfortable using AI to improve profiles, select photos, and help conversations flow, but are less willing to rely on the technology for the relationship itself.

Balancing Technological Assistance With Human Connection

According to Match Group, users continue to prefer playing the main role in building relationships, even as AI becomes more widely used in matching systems and profile tools. In a blog post, the company said singles are looking for technology that “helps with the hard parts, but hands off for the human parts.”

Implications For Industry Innovators

The findings highlight the challenge facing dating platforms as they introduce new AI features. Among the ideas put forward by Bumble founder Whitney Wolfe Herd is the possibility of allowing personal bots to interact with one another. The study suggests, however, that users still place a high value on human interaction as companies continue to experiment with AI-powered tools. Ultimately, Match Group’s findings indicate that consumers see AI as a tool to support dating rather than replace personal connections.

A New Twitter-Inspired Social Network Is Taking Shape

A new social network called Twitter.now is entering the market, with a founding team that includes former Twitter trademark counsel Stephen Coates. The service is being developed by startup Operation Bluebird.

As Ars Technica reported, X sued the company last year and asked a Delaware judge to block the launch. Operation Bluebird argued in a petition that X had abandoned trademarks including “Twitter” and “Tweet.”

Coates has said the project is not an attempt to recreate the original Twitter. In a LinkedIn post, he described the platform as a new public space focused on trust, transparency and user choice.

AI System To Rate Posts

Twitter.now is currently being tested, with early access priced at $20. Its main feature is VERA, an AI system designed to evaluate posts, verify claims and provide sources and context.

Posts receive a trust score, with users eventually able to set a minimum score to filter their feeds. The company says this approach will give people more control over what they see instead of leaving those decisions entirely to an algorithm.

Moderation Remains A Challenge

Scaling moderation will be one of the platform’s biggest tests. Social networks have repeatedly struggled with content moderation as their communities grow, and newer platforms such as Bluesky have faced similar criticism.

Operation Bluebird says VERA will form the basis of its moderation and verification system. A second version is already planned, with expanded tools that would let users set a specific trust threshold for the posts appearing in their feeds.

For now, Twitter.now remains in an early testing phase, combining the familiarity of the Twitter name with an AI-driven approach to evaluating online information.

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