Big data Read the information below. Can you think of any examples? Speaking 10 a datafication [£deçt‹fç}keçS‹n] noun a process of understanding the world by transforming everything, from our actions to our thoughts, from social media to the internet of things, into a numerically quantified format or ‘data’. Data storage, data management and data analysis technologies now provide us with the tools to spot the patterns, trends and relationships in political, economic, social and environmental relationships. pseudonymisation [sju:]dünçmaç}zeçSWn] noun the processing of personal data so that they can no longer be attributed to a specific data subject without the use of additional information, provided that such additional information is kept separately and is subject to technical and organisational measures to ensure that the personal data are not attributed to an identified or identifiable person. Pseudonymised data is therefore re-identifiable and falls within the definition of personal data. big data [£bçg }deçt‹] noun very large and complex data sets that can only be stored and analysed using special tools and methods. Since so much of organisations’ IT investment is going towards managing big data, it’s important to leverage those resources as effectively as possible. profiling [}prWïfaçlçN] noun Any form of automated processing of personal data to evaluate certain personal aspects relating to a person, in particular to analyse or predict aspects concerning their performance at work or studies, economic situation, health, personal preferences, interests, reliability, behaviour, location or movements. Work in groups of 4. Consider each situation. What punishment do you think would be suitable? Use expressions from 7 and 8 to justify your ideas. 1 An employee takes paper from the office for the children to use at home. 2 A man withdraws $100 from a cash machine but $200 come out. He keeps all the money. 3 A woman applies for a job she knows she can do but lies about her qualifications in order to get it. 4 A man buys lots of tickets for a major football match so he can sell them online to the highest bidder. 5 A student cheats during an online test by having his older sister answer the questions for him to get a better grade. Media task. Work in pairs. Go online and find recent news on a crime. Research all information you can find and put the key facts on a PowerPoint slide. Show your slide in class, present the case and discuss the consequences. c 9 Talk in pairs. 1 How do you think you personally contribute to big data? 2 What kind of data about you is saved without you knowing: A where and when it is saved? B with which devices it is saved? 3 Which purposes does this data primarily serve? 4 What could the data be used for without your consent? 5 How do you think profiling influences your life now? How relevant will it be for your future career? Can you think of any other popular terms relating to data usage / data protection? List your words and discuss their relevance in class. b 11 22 Language skills Extras Explore 2 Digital jungle Nur zu Prüfzwecken – Eigentum des Verlags öbv
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