Oxford Internet Institute
Research Company/Group
The Oxford Internet Institute is a multidisciplinary research and teaching department of the University of Oxford, dedicated to the social science of the Internet.
Digital connections are now embedded in almost every aspect of our daily lives, and research on individual and collective behaviour online is crucial to understanding our social, economic and political world. Source
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| Scope | Student/Alumni |
|---|---|
| Language | English |
| Country | United Kingdom |
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Recent Articles
Search ArticlesThe AI Skills Dividend with Fabian Stephany, Oxford University – Part 2
Skip down to main content Recorded: 6 May 2026 Speakers: With Dr Fabian Stephany Speaker
The AI Skills Dividend with Fabian Stephany, Oxford University – Part 1
Skip down to main content Recorded: 6 May 2026 Speakers: With Dr Fabian Stephany Speaker
The Skills That Win in an AI Job Market
AI is reshaping every sector of the economy, but what does this mean for today’s workforce and the skills they need to bring into their careers? In this episode, we explore what actually matters in today’s job market: which AI skills matter, how to think about acquiring them, and where institutions and governments can lead the charge in shaping how AI fits into the future of work.
The New Era of Lawyerless Contracting
Skip down to main content How contract generators, platforms, and AI are reshaping consumer contracts Setting the scene From small businesses selling through Shopify to bloggers using WordPress, many people now draft consumer contracts without ever speaking to a lawyer. They rely on templates, online contract generators, and increasingly AI tools. What was once the preserve of qualified lawyers is becoming automated, standardized, and accessible to the general public.
How social media interoperability could restore user choice
Skip down to main content From locked‑in to free to leave: The case for interoperability Have you ever wondered why everyone uses the same handful of social networks? You may not love X, Facebook, Instagram, or LinkedIn, but leaving means abandoning your friends, colleagues, or professional networks. So, you stay. This hands power to the platforms: users must accept whatever rules, moderation, and algorithms a provider imposes. It doesn’t have to work this way.
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UK adults increasingly seek emotional support and companionship from AI, new report finds
Skip down to main content New analysis from researchers at the Oxford Internet Institute reveals that users of artificial intelligence tools are increasingly turning to them for personal support, emotional advice, and companionship, reflecting a wider societal shift toward seeking care and connection through technology. Their report, ‘Large Language Models in the UK: Public Use, Trust, and Attitudes, authors Dr Florence E.
Mapping the digital lives of care-experienced children
Phase 1: policy mapping A new Oxford Internet Institute project is inviting local authorities and organisations supporting care-experienced young people to help map current policy and practice around digital access, skills and support. An invitation to help shape new research into how care-experienced young people secure digital access and develop digital skills, as well as the needs and experiences of professional teams supporting them Being online is no longer optional.
Large Language Models in the UK: Public Trust and Attitudes
Skip down to main content Large Language Models in the UK: Public Use, Trust and Attitudes By Dr Florence Enock and Professor Helen Margetts Users of artificial intelligence tools are increasingly turning to them for personal support, emotional advice, and companionship, reflecting a wider societal shift toward seeking care and connection through technology.That’s the central finding of a new report from the Oxford Internet Institute, based on a survey of large language models in the UK.
AI-powered social media can subtly manipulate opinion at scale, new study finds
The study found that large language models (LLMs) consistently changed the direction of social media posts on contested topics, even when explicitly instructed to preserve the original meaning. The researchers also show, through simulations of real-world social networks, how these small changes could accumulate across millions of interactions and gradually influence broader public opinion.