Singapore's technological prowess as one of the most networked city, society and nation is reflected in most statistical data. Indeed, Singapore is relentless in its pursuit of making technological and Internet history/ies. In its latest Intelligent Nation 2015 (iN2015) master plan, Singapore plans to integrate all aspects of info-communications into a single ultra-fast broadband platform that will be capable of delivering ultra-fast Internet. This paper provides a brief update on the extent of technological and Internet deployment. More importantly, it looks at how the Internet has further developed by analysing the events surrounding the 2006 General Elections in Singapore. Each election in Singapore is arguably a key regulatory milestone for the Internet because new rules are either invoked via new or revised legislation or new warnings issued to keep a lid on the effectiveness of new technologies. While Singapore has undoubtedly made 'history' in its regulatory approaches and strategies in managing the liberatory impulses, with outright censorship of racial, religious and pornographic -and, since 11 September 2001 (9/11), terrorist-related -websites making headlines around the world, it has also been able to score impressively in the technological competencies of its citizens. In the discussion that follows, we examine the current state of the Singaporean blogosphere and considers if the regulatory landscape has been altered following pressures brought about by blogs and other alternative websites. It argues that the implementation of both overt and subtle controls of alternative political websites as well as heavy-handed actions by the authorities to rein in on errant Internet users and bloggers, along with the occasional talking-down of the significance of the Singaporean blogosphere, have accentuated the ambivalence that the Internet in Singapore has (re)presented.

The dramatic growth of smart in‐vehicle applications in the Internet of Vehicles and the increasing quality of experience for vehicle users have put a huge traffic load on the mobile core network. Mobile edge caching has been proposed to place content at the edge of the network to serve users in close proximity to them. However, the dynamic topology of existing edge networks and the inherent storage limitations of edge devices pose a serious challenge to vehicular edge caching. Therefore, in this article, we propose a cooperative caching strategy based on mobile prediction and social awareness that allows collaborative content decision making among edge devices. Specifically, the long short‐term memory network is used to predict vehicle trajectories, social relationships are computed using content similarity and contact rates among vehicle users to select vehicles that can serve as caching nodes, and deep reinforcement learning is employed to achieve the final caching decision. Simulation results show that the caching strategy proposed in this article achieves up to 7.7%, 24.2%, and 27.3% gains, respectively, in terms of content acquirement delay compared to the reinforcement learning algorithm, the algorithm without considering mobility, and the non‐cooperative algorithm.