- We Steal Secrets: The Story of WikiLeaks (2013)
- Terms and Conditions May Apply (2013)
- The Internet's Own Boy: The Story of Aaron Swartz (2014)
- Citizenfour (2014)
- The Creepy Line (2018)
- The Social Dilemma (2020)
- The Great Hack (2019)
- The Human Face of Big Data (2014)
- Do Not Track (2015)
- The Age of Surveillance Capitalism (2020)
In an era where data is king, understanding how it's processed, analyzed, and utilized can be both fascinating and enlightening. This curated collection of documentaries delves into the intricate world of data processing, offering insights into how data shapes our lives, influences decisions, and even changes the course of history. Whether you're a data enthusiast, a tech professional, or simply curious about the digital age, these films provide a unique perspective on the invisible force driving our modern world.
We Steal Secrets: The Story of WikiLeaks (2013)
Description: This documentary delves into the world of WikiLeaks, showcasing how data leaks can influence global politics and the ethical considerations of data handling.
Fact: It features interviews with Julian Assange and other key figures in the WikiLeaks saga.
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Terms and Conditions May Apply (2013)
Description: This film examines how our personal data is collected and used by corporations, highlighting the often overlooked terms of service agreements.
Fact: The film uses humor and animation to make complex legal issues more accessible.
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The Internet's Own Boy: The Story of Aaron Swartz (2014)
Description: While not exclusively about data processing, this documentary covers the life of Aaron Swartz, a programmer and internet activist who was deeply involved in data access and information freedom.
Fact: The film includes interviews with Swartz's family, friends, and colleagues, offering a personal look at his life and work.
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Citizenfour (2014)
Description: This Oscar-winning documentary focuses on Edward Snowden's revelations about NSA surveillance, highlighting the implications of data collection on privacy and security.
Fact: Director Laura Poitras received the Snowden files while working on this film, making it a real-time documentary.
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The Creepy Line (2018)
Description: This film investigates the influence of Google and Facebook on society, focusing on how these companies process and use data to shape public opinion.
Fact: The title refers to a line from Google's former CEO, Eric Schmidt, about the ethical boundaries of data use.
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The Social Dilemma (2020)
Description: While focusing on social media, this documentary explores how algorithms and data processing manipulate user behavior, offering a critical look at the tech industry.
Fact: It includes interviews with former tech insiders who express regret over the impact of their work on society.
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The Great Hack (2019)
Description: This film investigates the Cambridge Analytica scandal, showing how personal data was harvested and used to influence elections, emphasizing the ethical dilemmas of data processing.
Fact: The documentary features interviews with key figures involved in the scandal, providing insider perspectives.
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The Human Face of Big Data (2014)
Description: This film explores the impact of big data on our lives, from personal health to global economics, showing how data collection and analysis are transforming our understanding of the world.
Fact: The film was produced in collaboration with the National Geographic Channel, providing a visually stunning exploration of data.
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Do Not Track (2015)
Description: An interactive documentary that explores online tracking and data collection, allowing viewers to see how their own data is used in real-time.
Fact: Viewers can participate in the documentary, making it a unique, personalized experience.
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The Age of Surveillance Capitalism (2020)
Description: Based on Shoshana Zuboff's book, this documentary examines how tech companies have turned personal data into a commodity, exploring the implications for democracy and personal freedom.
Fact: The film features interviews with Zuboff and other experts, providing a deep dive into the economic and ethical issues surrounding data processing.
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