Calculating Bully – Explaining Chinese Coercion
Quantum Theory as Critical Theory: Entanglement, Alienation, and the Politics of Social Physics
A new media success story
The Cyber Domain and Geopolitical Competition: Where To Next?
In conversation: Eyck Freymann and Rana Mitter on the Imperial Echoes of One Belt One Road
In 1964, Mao Zedong wrote that history education should ‘make the past serve the present’ and ‘make the foreign serve China.’ Today, under President Xi Jinping, the Chinese Communist Party (CCP) is radically reassessing several important periods of Chinese history, the better to serve the country’s new ambitions on the world stage.
Repeating past mistakes? The British withdrawal and return ‘East of Suez’
Scandals and Preferences for Financial Regulation
Sustainability of the energy sector in Jordan: challenges and opportunities
Algorithmic content moderation: Technical and political challenges in the automation of platform governance
As government pressure on major technology companies builds, both firms and legislators are searching for technical solutions to difficult platform governance puzzles such as hate speech and misinformation. Automated hash-matching and predictive machine learning tools – what we define here as algorithmic moderation systems – are increasingly being deployed to conduct content moderation at scale by major platforms for user-generated content such as Facebook, YouTube and Twitter.