DATACRAZIA

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“DATACRAZIA”
Di Barbara Carfagna
Nel web tutti noi cediamo i nostri dati alle aziende e ai database. Il web, la seconda fase di internet, ha cambiato il modo di fare politica, di comunicare , di fare campagna elettorale; perfino il modo di prendere decisioni su chi votare. Le conseguenze, in gran parte del mondo, tra fake news, bolle, haters e troll, si stanno dimostrando nefaste e stanno creando caos ma secondo gli esperti siamo all’alba di una nuova era che cambierà radicalmente internet e la politica. La terza fase di internet, che potrebbe cancellare il web e decentralizzare la rete togliendo potere alle grandi aziende come google e facebook, ma anche alle banche e ai governi, si chiama blockchain. Abbiamo gia’ visto all’opera il potere di questa tecnologia, che registra ed esegue le transazioni tracciandole per sempre in maniera non duplicabile ne’ falsificabile, attraverso la sua applicazione più nota: il bitcoin, a cui sopravvivera’. Nei paesi tecnologicamente avanzati i governi stanno sperimentando la blockchain per aumentare il loro potere, mentre in altre parti del mondo nascono attorno ad essa nuove ideologie. A speciale tg1, “datacrazia” ,ovvero il potere dei dati. Barbara Carfagna ci porta a liberland – nazione che sta nascendo decentralizzata e distribuita per il mondo – a Dubai, in Giappone, Singapore, Taiwan, Stati Uniti. Per scoprire un mondo parallelo, in cui i governi per agire nella complessita’ si appoggiano alle fondazioni, ai think tank o ai consulenti della piu’ influente blockchain esistente al momento: ethereum, che promette di consentire a tutti, un giorno, di riappropriarsi dei propri dati tracciandoli e controllando – anche a distanza di anni- che fine hanno fatto e chi li sta utilizzando.

http://www.rai.it/dl/RaiTV/programmi/media/ContentItem-9a92a869-0523-4576-a323-c1cf03241017-tg1.html

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“Un consiglio”, il racconto di Laura Frassetto su Beppe Marchetti

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Racconta un libraio

massena-28 La libreria Massena 28, che oggi non esiste più.

Laura Frassetto ha partecipato al nostro concorso nel 2015, classificandosi tra i primi 9 finalisti. Il suo racconto mi ha colpita subito, per il ritmo, la scrittura e perché parla di Beppe Marchetti, un libraio scomparso qualche anno fa di cui non si sa ancora nulla. Lo pubblico oggi per la prima volta, con una nota dell’autrice. Ha anche scritto una delle Lettere delle eroine recentemente apparse sul blog di Giulio Mozzi, Remedios Buendía ha accettato la tua richiesta di amicizia, e a breve verrà pubblicato il suo romanzo, Un angolo sconosciuto.

Un consiglio

I diminutivi fanno a me quello che l’aglio fa alle streghe, quello che il glutine fa ai celiaci, quello che l’adolescenza combina a certi bei visi di bambino.

La gente che chiama altra gente con un diminutivo (Cris, Massi, Vale) appartiene alla vasta schiera…

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Google explains how artificial intelligence becomes biased against women and minorities — Quartz

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Time and again, research has shown that the machines we build reflect how we see the world, whether consciously or not. For artificial intelligence that reads text, that might mean associating the word “doctor” with men more than women, or image-recognition algorithms that misclassify black people as gorillas. Google, which was responsible for the gorilla…

via Google explains how artificial intelligence becomes biased against women and minorities — Quartz

What happens to your Facebook account if you pass away?

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What happens to your Facebook account if you pass away? by Carlos Paula Simões

Answer by Carlos Paula Simões:

We should prepare ourselves for such.

Regarding Facebook, the best thing to do is to nominate a “legacy contact”. A legacy contact is someone you choose to manage your account after you pass away. They'll be able to do things like pin a post on your Timeline, respond to new friend requests and update your profile picture. They won't post as you or see your messages.

I think this restriction – your messages will remain confidential – is quite appropriate… these are just a handful of the secrets we commonly hear people learning of after a death, some of it revealed by the correspondence with someone else:

The person who died . . .

Was in debt.

Was having or had an affair.

Had a previous marriage they kept secret.

Had other children that were kept a secret.

Was struggling with drugs or alcohol.

Had a problem with gambling.

Had been aware they were sick/dying and not told anyone.

Had not shared their true sexual orientation or gender identity.

But in case you don't want a Facebook account after you pass away, you can request to have your account permanently deleted instead of choosing a legacy contact.

What happens to your Facebook account if you pass away?

How does Twitter use machine learning?

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How does Twitter use machine learning? by Arindam Paul

Answer by Arindam Paul:

I do not work on Twitter so I cannot deterministically answer this. I hope someone from Twitter answer this. However, as a person researching in machine learning, I can try to guess. Although I think they do not use it as much as Facebook or Google does as there is not much moderation or ranking going on.

  1. Trending: So twitter has this thing at the right (at least on my chrome desktop browser). You can see that what trends does not depend on what has the highest tweets right. So, I presume they use some machine learning to automatically learn the time-series data (tweets)

2. Moments: This is where there is not much difference between Twitter and a news website like Times. I believe (again I do not work at Twitter) that there is some kind of ML and heuristic algorithm which determines what pops up as Moments. One parameter which is definitely used is location.

3. Who to Follow: Again this uses information about the things you post (textual information, hashtags) , people following you, people recenty followed by you, people whose posts you favorited.

Also, I know for sure lot of people use twitter data for machine learning. I guess most of you knew this already. I had worked on a course project where I looked at "I just bought" tweets when people buy things from Amazon.

One arena where they do not use machine learning is modulate people's feed. So Twitter does not organize the feeds based on who you recently followed, who responds to your tweets etc.

How does Twitter use machine learning?