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Why I steer clear of ‘safe' dating apps like Tea

Why I steer clear of ‘safe' dating apps like Tea

Independenta day ago
Say you meet a man: single, charming, intelligent, all his own teeth sort of thing. Then jitters kick in, and you find yourself wondering if he is as perfect as he seems.
You go through all the usual channels: Google, LinkedIn, Instagram – possibly even ChatGPT – to see what you can find. His digital footprint is clean, but something still seems… a little off.
Maybe it's the way he speaks so vaguely about his childhood, or makes subtle, persistent digs at an ex-girlfriend that even your tireless investigative work hasn't been able to find online.
This is where the Tea dating app comes in. Launched in 2023, the US-based platform allows women to share safety information and 'spill the tea' about men they are considering dating.
So, in theory, you could meet a man, look him up on the app, and discover that he's married, has a criminal record, or is a potential catfish. Marketing itself as 'the largest women's group chat in the US', Tea lets users 'review' single men in the hope of ensuring safe dating for heterosexual women everywhere. It's popular too, with 1.6 million users to date.
Unfortunately, what seemed like a long-awaited, even vital, tool has been attacked.
Last week, Tea announced that it had been hacked in a suspected misogynistic backlash, exposing around 72,000 images, including the photo identification of its users. Tea later updated users that some of their direct messages (DMs) had also been accessed by hackers. It has since turned off its messaging functionality, and says it will be offering 'free identity protection services' to any users it identifies as having been exposed.
I'm not remotely surprised by any of this. Even before the hacking incident, which has sparked discussion around sensitive information being shared online, Tea was seen as controversial and accused of being fundamentally misandrist.
Its intentions were good: founder Sean Cook launched Tea after becoming privy to his mother's online dating experiences. She was catfished and matched with a man who, unbeknownst to her, had criminal records. Tea was designed to rectify this – and in another world, perhaps it could.
But in this one, I fear that platforms like this may end up causing more problems than they solve.
It's important to know if someone you're about to date has a criminal record, isn't who they say they are, is on a sex offender registry, or has a history of abusive behaviour. But beyond those parameters, do single women really need to know about another woman's – largely subjective – red flags? How is writing off any man because of what his exes have said about him at all helpful? To me, it seems myopic, insulting, and deeply unfair.
Many of us behave badly in relationships. It's human nature; we mess up, and that's true of both men and women. I'm sure my exes could rack up a list of terrible things I've said and done, which, taken out of context, could put off any future suitor. But people change. We learn and grow into ourselves, often becoming different versions of who we are in different relationships.
Apps like Tea don't allow for that nuance. It's a binary system where bad reviews leave a permanent stain and add to the pessimism characterising the dating landscape, particularly for straight women. Consider the rising popularity of terms like ' heterofatalism ' – used to describe the increasing despair among women who feel there are no 'good men' left.
Equally troubling is that app's showcasing of green flags. Just because one man was a great boyfriend to one woman does not guarantee good behaviour with every other female partner. Isn't thinking that it does potentially as risky as going out with someone whose reviews are littered with red flags?
In an ideal world, we would all of us – men and women – go on dates with people who've been vetted. There would be no risk of being ghosted, stood up, or manipulated. Sure, it would be lovely. But we don't live in an ideal world, as Tea has neatly reminded us.
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Using Generative AI for therapy might feel like a lifeline – but there's danger in seeking certainty in a chatbot
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Using Generative AI for therapy might feel like a lifeline – but there's danger in seeking certainty in a chatbot

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AI might feel like a lifeline when services are overstretched – and make no mistake, services are overstretched. Globally, in 2019 one in eight people were living with a mental illness and we face a dire shortage of trained mental health professionals. In Australia, there has been a growing mental health workforce shortage that is impacting access to trained professionals. Clinician time is one of the scarcest resources in healthcare. It's understandable (even expected) that people are looking for alternatives. Turning to a chatbot for emotional support isn't without risk however, especially when the lines between advice, reassurance and emotional dependence become blurred. Many psychologists, myself included, now encourage clients to build boundaries around their use of ChatGPT and similar tools. Its seductive 'always-on' availability and friendly tone can unintentionally reinforce unhelpful behaviours, especially for people with anxiety, OCD or trauma-related issues. Reassurance-seeking, for example, is a key feature in OCD and ChatGPT, by design, provides reassurance in abundance. It never asks why you're asking again. It never challenges avoidance. It never says, 'let's sit with this feeling for a moment, and practice the skills we have been working on'. Tran often reworded prompts until the model gave him an answer that 'felt right'. But this constant tailoring meant he wasn't just seeking clarity; he was outsourcing emotional processing. Instead of learning to tolerate distress or explore nuance, he sought AI-generated certainty. Over time, that made it harder for him to trust his own instincts. Beyond psychological concerns, there are real ethical issues. Information shared with ChatGPT isn't protected by the same confidentiality standards as registered Ahpra professionals. Although OpenAI states that data from users is not used to train its models unless permission is given, the sheer volume of fine print in user agreements often goes unread. Users may not realise how their inputs can be stored, analysed and potentially reused. There's also the risk of harmful or false information. These large language models are autoregressive; they predict the next word based on previous patterns. This probabilistic process can lead to 'hallucinations', confident, polished answers that are completely untrue. AI also reflects the biases embedded in its training data. Research shows that generative models can perpetuate and even amplify gender, racial and disability-based stereotypes – not intentionally, but unavoidably. Human therapists also possess clinical skills; we notice when a client's voice trembles, or when their silence might say more than words. This isn't to say AI can't have a place. Like many technological advancements before it, generative AI is here to stay. It may offer useful summaries, psycho-educational content or even support in regions where access to mental health professionals is severely limited. But it must be used carefully, and never as a replacement for relational, regulated care. Tran wasn't wrong to seek help. His instincts to make sense of distress and to communicate more thoughtfully were logical. However, leaning so heavily on to AI meant that his skill development suffered. His partner began noticing a strange detachment in his messages. 'It just didn't sound like you', she later told him. It turned out: it wasn't. She also became frustrated about the lack of accountability in his correspondence to her and this caused more relational friction and communication issues between them. As Tran and I worked together in therapy, we explored what led him to seek certainty in a chatbot. We unpacked his fears of disappointing others, his discomfort with emotional conflict and his belief that perfect words might prevent pain. Over time, he began writing his own responses, sometimes messy, sometimes unsure, but authentically his. Good therapy is relational. It thrives on imperfection, nuance and slow discovery. It involves pattern recognition, accountability and the kind of discomfort that leads to lasting change. A therapist doesn't just answer; they ask and they challenge. They hold space, offer reflection and walk with you, while also offering up an uncomfortable mirror. For Tran, the shift wasn't just about limiting his use of ChatGPT; it was about reclaiming his own voice. In the end, he didn't need a perfect response. He needed to believe that he could navigate life's messiness with curiosity, courage and care – not perfect scripts. Name and identifying details changed to protect client confidentiality Carly Dober is a psychologist living and working in Naarm/Melbourne In Australia, support is available at Beyond Blue on 1300 22 4636, Lifeline on 13 11 14, and at MensLine on 1300 789 978. In the UK, the charity Mind is available on 0300 123 3393 and Childline on 0800 1111. In the US, call or text Mental Health America at 988 or chat

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