The aim of this research file is to critically examine Information-Technology, Internet, Online, Digital, Media, Big Data and Social Media Network (Google, Facebook, Twitter, Apple) that emerge in a world characterised by proliferation of structured and unstructured algorithmic data.  This essay is concerned with the new calculative devices that have begun to shape, transforms and govern all aspect of contemporary life algorithmically.
‘Zero Days’ (2016) Documentary Trailer: https://youtu.be/mwxXsRafm1o
Citizen Four – Documentary : https://youtu.be/E8lW4_tpzO4
A 12-year-old app developer | Thomas Suarez: https://youtu.be/Fkd9TWUtFm0
Science Documentary 2016 | Big Data: https://youtu.be/m9D-v6r3NJQ
Big Data Revolution – PBS Documentary: https://youtu.be/bIY3LUZ7i8Y
Big Data will impact every part of your life | Charlie Stryker : https://youtu.be/0Q3sRSUYmys
Social Media Network
Social Media Trends 2017: https://youtu.be/HYa3vYqJ8JU
Does social media have the power to change the world?: https://youtu.be/Uppg_2nGo54
What FACEBOOK and GOOGLE are Hiding from world: https://youtu.be/bOE1HFEL8XA
How algorithms shape our world – Kevin Slavin: https://youtu.be/ENWVRcMGDoU
Yuval Noah Harari on the Rise of Homo Deus: https://youtu.be/JJ1yS9JIJKs
The social and media networks are shaping the prime mode of organization and the most important structure of modern society. Society still consists of individuals, pairs, groups and organizations. On the Internet, interpersonal, organizational and mass communication come together. Using this medium, we bring the ‘whole world’ into our homes and workplaces. This communication revolution has dual structure results in several oppositions: centralization and decentralization, central control and local autonomy, unity and fragmentation, socialization and individualization. This is why it is claimed here that the views presented in this essay are neither pessimistic nor optimistic. Therefore, the future must remain something that we can shape to our own design. It is vital we ensure that human volition held sacrosanct and we preserve not only people’s capacity for moral choice but individual responsibility for individual acts. And society must design safeguards to allow a new professional class of “algorithms” to assess big-data analytics – so that the world which has become less random by dint of big data does not turn into a black box, simply replacing one form of the unknowable with another. The algorithm helps us do what we already do better, and it allows us to do new things altogether. Yet it is no magic wand. It won’t bring about world peace, eradicate poverty, produce the next Picasso and can’t make a baby. And it may well affect how we think about the future. One of the defining features of modern times is our sense of ourselves as masters of our fate. At the same time, the algorithm may be used against us in systems that presume to predict out future behaviour. Knowing how actions may play out in the future will allow us to take remedial steps to prevent problems or improve outcomes. Algorithm’s predictions are not set in stone – they are only likely outcomes, and that means if we want to change them we can do so. What is greatest about human beings is precisely what the algorithms and silicon chips don’t reveal, and we must use this tool with a generous degree of humility and humanity.
Email to request the full research file
 Louise Amoore and Volha Piotukh, eds., Algorithmic Life: Calculative Devices in the Age of Big Data (Devon, United Kingdom: Routledge, 2016), 2.  Amoore and Volha Piotukh, eds., Algorithmic Life, 4.  van Dijk et al., The Network Society, 91.  Amoore and Volha Piotukh, eds., Algorithmic Life, 26.  van Dijk et al., The Network Society, 90.  Amoore and Volha Piotukh, eds., Algorithmic Life, 31.  van Dijk et al., The Network Society, 272-274.  Mayer-Schönberger, and Cukier, Big Data, 193-197.
Larsen, Lars Bang, ed. Networks. United Kingdom: Whitechapel Art Gallery, 2014.
Franklin, M I. Digital Dilemmas: Power, Resistance, and the Internet. Oxford: Oxford University Press, 2014.
Amoore, Louise and Volha Piotukh, eds. Algorithmic Life: Calculative Devices in the Age of Big Data. Devon, United Kingdom: Routledge, 2016.
Devereux, Eoin. Understanding the Media. 3rd ed. London: SAGE Publications, 2013.
Ryan, Marie-Laure, Lori Emerson, and Benjamin J. Robertson, eds. The Johns Hopkins Guide to Digital Media. Baltimore: The Johns Hopkins University Press, 2014.
Rosen, Jeffrey and Benjamin Wittes, eds. Constitution 3.0: Freedom and Technological Change. Washington, D.C.: Brookings Institution Press, 2011.
Bauerlein, Mark, Napolean Hill, and Wallace D. Wattles. The Digital Divide: Arguments for and Against Facebook, Google, Texting, and the Age of Social Networking. New York, NY: Jeremy P. Tarcher/Penguin, 2011.
Palfrey, John G. and Urs Gasser. Born Digital: Understanding the First Generation of Digital Natives. New York: Basic Books, 2010.
van Dijk, Jan, Jan A G M van Dijk, Professor Jan A. G. M. Van Dijk, and Jan A G M van Dijk. The Network Society: Social Aspects of New Media. 2nd ed. Thousand Oaks, CA: SAGE Publications, 2005.
Mayer-Schönberger, Viktor, Kenneth Cukier, and Viktor Mayer-Schonberger. Big Data: A Revolution That Will Transform How We Live, Work and Think. London: John Murray Publishers, 2013.
McQuivey, James. Digital Disruption: Unleashing the Next Wave of Innovation. Cambridge, MA: Forrester Research, 2013.
Van Loon, Joost and Van Loon. Media Technology: Critical Perspectives. Maidenhead: Open University Press, 2007.
Gore, Al. The Future: Six Drivers of Global Change. New York: Random House Publishing Group, 2013.
van Dijk, Jan, Professor Jan A. G. M. Van Dijk, and Jan A G M van Dijk. The Network Society. 3rd ed. London: SAGE Publications, 2012.