Advocates and opponents of breaking up Facebook, Google and other technology giants are falling prey to some serious misconceptions.
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A proposed bill would force tech companies to tell users how much their data is worth. But how can a single number capture data's power to predict your actions or sway your decisions?
Tech giants like Facebook are at risk of joining the ranks of Compuserve and MCI Mail to be replaced with the next generation of organizing designed for new models of distributed trust.
Companies scrutinise our online likes, dislikes, searches and purchases to produce data that can be used commercially. And it's often done without us understanding the full extent of the surveillance.
US lawmakers and regulators are beginning to investigate big tech's growing power, but they need to look beyond size and into their very natures.
Big tech companies compete over who can gather the most intelligence on their users. Countries like Russia and China turn this information against their citizens.
The Uber driver walkout raises questions about how workers can fight for better pay and benefits in the age of the gig economy – a topic frequently on the minds of Conversation scholars.
Google's algorithms reflect bias against members of racialized and gendered groups.
Google, Amazon and other powerful groups are renaming American cities and neighborhoods. That may make the area more appealing to newcomers – but, in many cases, residents aren't happy.
Consumption has become the primary form of self-identity and self-expression.
Scientists now have a better understanding of what martial eagles eat. This is valuable for the conservation of this endangered species.
It's not your intent that matters when you're considering your online behaviour – it's the consequences that create the impact.
Google+ is the latest online community to shut down, forcing users to seek other options. So why are organisations pulling away from user-generated content such as reviews, comments and debates?
Museums are experimenting with 3D printed replicas of artefacts – meaning that the public can get closer to cultural heritage than ever.
Feelgood, high-level data ethics principles are not fit for the purpose of regulating big tech. Applied ethics might be useful ... but stronger regulation is the preferred end goal.
After Google suggested PigeonRank was at the root of its search function, a group of researchers put a small flock of the birds to a different classification test in real life.
There are mounting calls to dismember the likes of Google, Apple and Amazon, but most people seem to have overlooked the biggest threat of all.
Concern at the role of fake sites in influencing South African public opinion has been growing over time.
Artificially intelligent drug design programs could discover new therapies for conditions that are difficult or prohibitively expensive to cure.
The history of IBM shows how a technology titan can grow and change, while still remaining focused on its core business.
Kontributor teratas
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Director of UWA Centre for Software Practice, University of Western Australia
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Assistant Professor, School of Law, University of Canberra
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Researcher at Microsoft Research, Cambridge UK. Previously, The University of Queensland
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Associate Professor, Informatics and Operations, Kingston University
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Professor of Cybersecurity, School of Computer Science and Informatics, De Montfort University
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Senior Lecturer in Applied Ethics & SocioTechnical Studies, Griffith University
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Associate Professor, University of Sydney
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Fellow of the Faculty of Engineering and Information Technology, University of Technology Sydney
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Professor, Bond University
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Professor of Management and Innovation, IMD Business School
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Distinguished Professor of Public Communication, University of Technology Sydney
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Associate professor, RMIT University
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PhD; Lecturer in Computer Science and Engineering, UNSW
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Emeritus Professor of Accounting, University of Essex, University of Essex
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Senior lecturer in Screen Media, Victoria University
