mfioretti: control* + data ownership*

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  1. IoT will be able to take stock of your choices, moods, preferences and tastes, the same way Google Search does. With enough spreadsheets, many practical questions are rendered trivial. How hard will it be for the IoT — maybe through Alexa, maybe through your phone — to statistically study why, where and when you raise your voice at your child? If you can correlate people’s habits and physical attributes, it will be toddler-easy to correlate mood to environment. The digitally connected devices of tomorrow would be poor consumer products if they did not learn you well. Being a good and faithful servant means monitoring the master closely, and that is what IoT devices will do. They will analyze your feedback and automate their responses — and predict your needs. In the IoT, Big Data is weaponized, and can peer deeper into the seeds your life than the government has ever dreamed.
    https://www.salon.com/2018/02/19/why-...signed-for-corporations-not-consumers
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  2. Mark Zuckerberg also launched Facebook with a disdain for intrusive advertising, but it wasn’t long before the social network giant became Google’s biggest competitor for ad dollars. After going public with 845 million users in 2012, Facebook became a multibillion-dollar company and Zuckerberg one of the richest men on Earth, but with only a promise that the company would figure out how to monetize its platform.

    Facebook ultimately sold companies on its platform by promising “brand awareness” and the best possible data on what consumers actually liked. Brands could start their own Facebook pages, which people would actually “like” and interact with. This provided unparalleled information about what company each individual person wanted to interact with the most. By engaging with companies on Facebook, people gave corporate marketing departments more information than they could have ever dreamed of buying, but here it was offered up free.

    This was the “grand bargain,” as Columbia University law professor Tim Wu called it in his book, The Attention Merchants, that users struck with corporations. Wu wrote that Facebook’s “billions of users worldwide were simply handing over a treasure trove of detailed demographic data and exposing themselves to highly targeted advertising in return for what, exactly?”

    In other words: We will give you every detail of our lives and you will get rich by selling that information to advertisers.

    European regulators are now saying that bargain was a bad deal. The big question that remains is whether their counterparts in the U.S. will follow their lead.
    https://www.huffingtonpost.com/entry/...antitrust_us_5a625023e4b0dc592a088f6c
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  3. "Continueremo a lavorare con le autorità francesi per garantire che gli utenti comprendano quali informazioni vengono raccolte e come vengono utilizzate", ha affermato WhatsApp in una dichiarazione inviata per posta elettronica. "Ci impegniamo a risolvere le diverse e talvolta contraddittorie preoccupazioni che hanno sollevato le autorità per la protezione dei dati, con un approccio comune a livello europeo prima che nuove norme sulla protezione dei dati a livello di blocco entrino in vigore nel maggio 2018".

    I trasferimenti di dati da WhatsApp a Facebook avvengono in parte senza il consenso dell'utente, ha ribadito l'ente francese che ha anche respinto le argomentazioni di WhatsApp secondo le quali l'azienda sarebbe soggetta solo alla legge degli Stati Uniti. Il monito francese, è "un avviso formale, non una sanzione", ma il colosso dei messaggi rischierebbe di incorrere in multe in una fase successiva.
    http://www.repubblica.it/tecnologia/2...ncia_il_garante_fb_whatsapp-184580045
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  4. Come è possibile fatturare 18 miliardi con 20mila dipendenti?

    Per esempio, una foto fornisce luogo e ora del caricamento e dello scatto, oltre che la marca dello smartphone. Una miniera di dati che Facebook – come agenzia pubblicitaria – rivende ai suoi clienti inserzionisti. “Se carico la foto del mio gatto, visualizzerò con ogni probabilità inserzioni di cibo per animali. Ma se carico la foto alle 4 del mattino, potrei essere inserito nel segmento dei nottambuli e ricevere pubblicità di prodotti contro l’insonnia”, spiega Casilli.

    Nel quarto trimestre del 2016, l’azienda di Mark Zuckerberg ha guadagnato 4,83 dollari per utente. Nel 2015 ha fatturato 17,93 milioni di dollari l’anno con circa 20mila dipendenti fissi. Come è possibile? Grazie a 1,86 miliardi di lavoratori invisibili, cioè tutti noi che ogni giorno carichiamo contenuti consapevolmente e creiamo metriche pubblicitarie senza rendercene conto.
    https://www.terrelibere.org/facebook-pagami
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  5. “The more data you have, the better the data products you can develop,” Professor Steven Weber said when discussing the link between data and development. “The better the data products you develop and sell, the more data you receive as those products get used more frequently and by larger populations.”

    But if all the world’s data flows back to a few tech powerhouses, without restrictions or taxes, this will further reinforce their monopolies, widen the privacy gap, and leave developing countries as passive consumers or data points, rather than participants in the digital economy.

    Those calling for liberalization use the rhetoric of creating opportunities for the poor — connecting the next billion — which sounds great, but only if we disconnect it from reality. Today, 60% world lacks even access to electricity. In the past, Spanish colonizers arrived in the Americas offering mirrors to the indigenous people in exchange for their gold. Is connectivity the “mirror” powerful actors are offering to the global poor today?

    Trade agreements eliminate the diversity of domestic policies and priorities, and impose costly restrictions on countries that want to address local inequalities and boost local industry. In the case of the digital economy, it will consolidate the position of few, to the detriment of the rest.
    https://www.buzzfeed.com/burcukilic/b...rade?utm_term=.nsr0Roja10#.oweb8lQZpb
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  6. The point is that Facebook has a strong, paternalistic view on what’s best for you, and it’s trying to transport you there. “To get people to this point where there’s more openness – that’s a big challenge. But I think we’ll do it,” Zuckerberg has said. He has reason to believe that he will achieve that goal. With its size, Facebook has amassed outsized powers. “In a lot of ways Facebook is more like a government than a traditional company,” Zuckerberg has said. “We have this large community of people, and more than other technology companies we’re really setting policies.”

    Without knowing it, Zuckerberg is the heir to a long political tradition. Over the last 200 years, the west has been unable to shake an abiding fantasy, a dream sequence in which we throw out the bum politicians and replace them with engineers – rule by slide rule. The French were the first to entertain this notion in the bloody, world-churning aftermath of their revolution. A coterie of the country’s most influential philosophers (notably, Henri de Saint-Simon and Auguste Comte) were genuinely torn about the course of the country. They hated all the old ancient bastions of parasitic power – the feudal lords, the priests and the warriors – but they also feared the chaos of the mob. To split the difference, they proposed a form of technocracy – engineers and assorted technicians would rule with beneficent disinterestedness. Engineers would strip the old order of its power, while governing in the spirit of science. They would impose rationality and order.
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    This dream has captivated intellectuals ever since, especially Americans. The great sociologist Thorstein Veblen was obsessed with installing engineers in power and, in 1921, wrote a book making his case. His vision briefly became a reality. In the aftermath of the first world war, American elites were aghast at all the irrational impulses unleashed by that conflict – the xenophobia, the racism, the urge to lynch and riot. And when the realities of economic life had grown so complicated, how could politicians possibly manage them? Americans of all persuasions began yearning for the salvific ascendance of the most famous engineer of his time: Herbert Hoover. In 1920, Franklin D Roosevelt – who would, of course, go on to replace him in 1932 – organised a movement to draft Hoover for the presidency.

    The Hoover experiment, in the end, hardly realised the happy fantasies about the Engineer King. A very different version of this dream, however, has come to fruition, in the form of the CEOs of the big tech companies. We’re not ruled by engineers, not yet, but they have become the dominant force in American life – the highest, most influential tier of our elite.

    There’s another way to describe this historical progression. Automation has come in waves. During the industrial revolution, machinery replaced manual workers. At first, machines required human operators. Over time, machines came to function with hardly any human intervention. For centuries, engineers automated physical labour; our new engineering elite has automated thought. They have perfected technologies that take over intellectual processes, that render the brain redundant. Or, as the former Google and Yahoo executive Marissa Mayer once argued, “You have to make words less human and more a piece of the machine.” Indeed, we have begun to outsource our intellectual work to companies that suggest what we should learn, the topics we should consider, and the items we ought to buy. These companies can justify their incursions into our lives with the very arguments that Saint-Simon and Comte articulated: they are supplying us with efficiency; they are imposing order on human life.

    Nobody better articulates the modern faith in engineering’s power to transform society than Zuckerberg. He told a group of software developers, “You know, I’m an engineer, and I think a key part of the engineering mindset is this hope and this belief that you can take any system that’s out there and make it much, much better than it is today. Anything, whether it’s hardware or software, a company, a developer ecosystem – you can take anything and make it much, much better.” The world will improve, if only Zuckerberg’s reason can prevail – and it will.

    The precise source of Facebook’s power is algorithms. That’s a concept repeated dutifully in nearly every story about the tech giants, yet it remains fuzzy at best to users of those sites. From the moment of the algorithm’s invention, it was possible to see its power, its revolutionary potential. The algorithm was developed in order to automate thinking, to remove difficult decisions from the hands of humans, to settle contentious debates.
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    The essence of the algorithm is entirely uncomplicated. The textbooks compare them to recipes – a series of precise steps that can be followed mindlessly. This is different from equations, which have one correct result. Algorithms merely capture the process for solving a problem and say nothing about where those steps ultimately lead.

    These recipes are the crucial building blocks of software. Programmers can’t simply order a computer to, say, search the internet. They must give the computer a set of specific instructions for accomplishing that task. These instructions must take the messy human activity of looking for information and transpose that into an orderly process that can be expressed in code. First do this … then do that. The process of translation, from concept to procedure to code, is inherently reductive. Complex processes must be subdivided into a series of binary choices. There’s no equation to suggest a dress to wear, but an algorithm could easily be written for that – it will work its way through a series of either/or questions (morning or night, winter or summer, sun or rain), with each choice pushing to the next.

    Facebook would never put it this way, but algorithms are meant to erode free will, to relieve humans of the burden of choosing, to nudge them in the right direction. Algorithms fuel a sense of omnipotence, the condescending belief that our behaviour can be altered, without our even being aware of the hand guiding us, in a superior direction. That’s always been a danger of the engineering mindset, as it moves beyond its roots in building inanimate stuff and begins to design a more perfect social world. We are the screws and rivets in the grand design.
    https://www.theguardian.com/technolog...r-on-free-will?CMP=Share_iOSApp_Other
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  7. Smart toys including My Friend Cayla, Hello Barbie, and CloudPets are designed to learn and grow with your kid. Cool, right? Unfortunately, many of these toys have privacy problems. As the 2015 data breach of Vtech's InnoTab Max uncovered, hackers specifically target kids because they offer clean credit histories and unused Social Security numbers that they can use for identity theft. These toys also collect a lot of information about your kid, and they aren't always clear about when they do it and how they use it.
    http://edition.cnn.com/2017/06/07/hea...2Fedition_us+%28RSS%3A+CNNi+-+U.S.%29
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  8. La relazione dell’Autorità garante per la protezione dei dati personali non fa alcun riferimento con quei toni così banali ad “allarmi”, sottolinea invece le grandi questioni in campo, anzi raccontando i risultati ottenuti lavorando sulle discipline, le garanzie, il dialogo coi player, seguendo le linee guida dei gruppi dell’Unione. Se il mainstream dev’essere sempre quello dell’allarme e dei titoli fuorvianti, inutile lamentarsi della disintermediazione e dello strapotere delle piattaforme di social media.
    http://www.webnews.it/2017/06/06/garante-privacy-relazione-annuale
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  9. "All of us, when we are uploading something, when we are tagging people, when we are commenting, we are basically working for Facebook," he says.

    The data our interactions provide feeds the complex algorithms that power the social media site, where, as Mr Joler puts it, our behaviour is transformed into a product.

    Trying to untangle that largely hidden process proved to be a mammoth task.

    "We tried to map all the inputs, the fields in which we interact with Facebook, and the outcome," he says.

    "We mapped likes, shares, search, update status, adding photos, friends, names, everything our devices are saying about us, all the permissions we are giving to Facebook via apps, such as phone status, wifi connection and the ability to record audio."

    All of this research provided only a fraction of the full picture. So the team looked into Facebook's acquisitions, and scoured its myriad patent filings.

    The results were astonishing.

    Visually arresting flow charts that take hours to absorb fully, but which show how the data we give Facebook is used to calculate our ethnic affinity (Facebook's term), sexual orientation, political affiliation, social class, travel schedule and much more.
    Image copyright Share Lab
    Image caption Share Lab presents its information in minutely detailed tables and flow charts

    One map shows how everything - from the links we post on Facebook, to the pages we like, to our online behaviour in many other corners of cyber-space that are owned or interact with the company (Instagram, WhatsApp or sites that merely use your Facebook log-in) - could all be entering a giant algorithmic process.

    And that process allows Facebook to target users with terrifying accuracy, with the ability to determine whether they like Korean food, the length of their commute to work, or their baby's age.

    Another map details the permissions many of us willingly give Facebook via its many smartphone apps, including the ability to read all text messages, download files without permission, and access our precise location.

    Individually, these are powerful tools; combined they amount to a data collection engine that, Mr Joler argues, is ripe for exploitation.

    "If you think just about cookies, just about mobile phone permissions, or just about the retention of metadata - each of those things, from the perspective of data analysis, are really intrusive."
    http://www.bbc.com/news/business-39947942
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  10. earlier this month, The Australian uncovered something that felt like a breach in the social contract: a leaked confidential document prepared by Facebook that revealed the company had offered advertisers the opportunity to target 6.4 million younger users, some only 14 years old, during moments of psychological vulnerability, such as when they felt “worthless,” “insecure,” “stressed,” “defeated,” “anxious,” and like a “failure.”

    The 23-page document had been prepared for a potential advertiser and highlighted Facebook’s ability to micro-target ads down to “moments when young people need a confidence boost.” According to The Australian’s report, Facebook had been monitoring posts, photos, interactions, and internet activity in real time to track these emotional lows. (Facebook confirmed the existence of the report, but declined to respond to questions from WIRED about which types of posts were used to discern emotion.)

    The day the story broke, Facebook quickly issued a public statement arguing that the premise of the article was “misleading”
    https://www.wired.com/2017/05/welcome-next-phase-facebook-backlash
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