News release

From: The University of Newcastle

‘Outed’ by the algorithm – how social media is revealing queer identity ahead of self-disclosure

Social media algorithms are increasingly revealing users’ sexual orientation or gender identity before they have consciously come out to themselves or others, according to new research.

The new study coins the term ‘algorithmic outing’ – when digital platforms infer and surface a user’s LGBTQ+ identity through personalised content and recommendations based on engagement signals such as liking a video, following a creator, or lingering on certain posts.

Lead author from the University of Newcastle’s School of Law and Justice, Dr Justin Ellis, said the phenomenon was becoming increasingly prominent as social media continued to advance.

“Several participants told us the algorithm ‘knew’ they were queer before they did,” Dr Ellis said.

Participants described platforms like TikTok rapidly populating their feeds with LGBTQ+ content based on likes, follows or viewing habits. While this helped people explore identity privately, it also raised concerns about privacy, safety and loss of control over when and how disclosure occurs.

“That experience was described as validating for some, but confronting or even frightening for others – particularly when it happened in public or semi‑public settings.”

The research explores how LGBTQ+ adults navigate these ‘hybrid spaces’ – everyday environments where online activity and in‑person interactions overlap, such as cafés, public transport, workplaces and nightlife – locations identified as where ‘algorithmic outing’ often occurs.

“Seeing queer content appear on your screen whilst on a bus or in a café isn’t a neutral experience,” Dr Ellis said.

“Screens are visible, and algorithms don’t account for risk, context or personal readiness.”

Based on in‑depth interviews with 20 LGBTQ+ adults aged 18 to 60, participants reported using privacy settings, multiple accounts, or passive browsing to self‑censor in public and avoid unwanted attention, harassment, or being outed involuntarily.

While many valued online spaces for connection and belonging, they also described heightened vigilance as algorithmic systems increasingly shape what appears on their screens.

“Algorithms sort, predict and classify users in ways that reflect existing biases and social tensions. For LGBTQ+ people, that can mean negotiating safety not just from other users, but from the technologies themselves,” Dr Ellis said.

Ultimately calling for greater transparency and responsibility from digital platforms, participants discussed practical design solutions, including clearer consent mechanisms, privacy‑by‑design features, and tools that allow users to quickly exit sensitive content in unsafe situations.

“Algorithmic outing shows how deeply digital systems are embedded in everyday life,” Dr Ellis said.

“If platforms are going to identify who their users are, they also need to take responsibility for how – and where – that identity becomes visible to ensure community safety.”