"This thoughtful, troubling film from Don Letts shows how a joyful movement became hijacked by thugs and bigots. To the point where even the title of this programme will be off-putting to some. But the precursor to all the hooliganism was a teen obsession with Jamaican ska. Kevin Rowland recalls, 'We saw the Pioneers, we saw Desmond Dekker and we loved them. It was completely multiracial.' And Letts is at pains to celebrate both the fashion before the fascism – reflected in increasingly ugly 70s archive – and the style revival."
"The documentary is inspired by the unpredictable events of recent times – from the rise of Donald Trump to Brexit, the war in Syria, the endless migrant crisis, and random bomb attacks. It seeks to explain both why these chaotic events are happening, and why we and our leaders can't understand them. Curtis's theory is that Westerners - politicians, journalists, experts and members of the public alike - have retreated into a simplified, and often completely fake version of the world. But because it is all-encompassing, we accept it as normal.
HyperNormalisation explores this hollow world by looking back at 40 years of events, and profiling a diverse cast of characters such as: the Assad dynasty, Donald Trump, Henry Kissinger, Patti Smith, the early performance artists in New York, President Putin, intelligent machines, Japanese gangsters and suicide bombers."
(Holly Barrett, 22nd September 2016, Royal Television Society)
Bush: 2004 State of the Union Remix; Obama State Of The Union remix; OBAMA State of the Union Address 2014 - (PARODY); Palin's Breath; Donald Trump's sniffling and heavy breathing; David Cameron's Conservative Party Conference Speech 2012 [Disrupted]; Nigel Farage and Independence day SPOOF!; Cassetteboy vs The News; Cassetteboy vs The Bloody Apprentice; Jeremy Corbyn's nuclear u-turn and David Cameron's approach to poverty | Cassetteboy remix the news; The Queen responds to Brexit | BREAKING.
"Where sociologists differ from many other social researchers in researching digital media is their awareness that digital data, like any other type of data, are socially created and have a social life, a vitality, of their own. They are not the neutral products of automatic calculation, but represent deliberate decisions by those who formulate the computer algorithms that collect and manipulate these data (boyd and Crawford 2012; Cheney-Lippold 2011; Ruppert et al. 2013). The data that these devices and software produce structure our concepts of identity, embodiment, relationships, our choices and preferences and even our access to services or spaces. Without the knowledge of digital technology users, algorithms measure and sort them, deciding what choices they may be offered (Beer 2009, 2013a). Algorithms and other elements of software, therefore, are generative, a productive form of power (Lash 2007)."
(Deborah Lupton, 2013, p.4)
Deborah Lupton 'Digital Sociology: Beyond the Digital to the Sociological', Paper presented at The Australian Sociological Association 2013 Conference, Monash University, 27 November 2013.
"Resilience, a system's ability to adjust its activity to retain its basic functionality when errors, failures and environmental changes occur, is a defining property of many complex systems. Despite widespread consequences for human health, the economy and the environment, events leading to loss of resilience—from cascading failures in technological systems to mass extinctions in ecological networks—are rarely predictable and are often irreversible. These limitations are rooted in a theoretical gap: the current analytical framework of resilience is designed to treat low-dimensional models with a few interacting components, and is unsuitable for multi-dimensional systems consisting of a large number of components that interact through a complex network. Here we bridge this theoretical gap by developing a set of analytical tools with which to identify the natural control and state parameters of a multi-dimensional complex system, helping us derive effective one-dimensional dynamics that accurately predict the system's resilience. The proposed analytical framework allows us systematically to separate the roles of the system's dynamics and topology, collapsing the behaviour of different networks onto a single universal resilience function. The analytical results unveil the network characteristics that can enhance or diminish resilience, offering ways to prevent the collapse of ecological, biological or economic systems, and guiding the design of technological systems resilient to both internal failures and environmental changes."
(Jianxi Gao, Baruch Barzel & Albert-László Barabási, 17 February 2016, Nature)