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в страхе

10 January 2011 | Censorship, Jurisprudence, Twitter | 1 Comment

свежая история о распоряжении Федерального суда США, обязавшего Twitter предоставить в распоряжение Департамента Юстиции всю информации о лицах, принимавших участие в развитии WikiLeaks, конечно, показательна:

The subpoena was issued by the United States attorney for the Eastern District of Virginia on Dec. 14 and asks for the complete account information of Pfc. Bradley Manning, the Army intelligence specialist awaiting a court martial under suspicion of leaking materials to WikiLeaks, as well as Ms. Jonsdottir, Mr. Assange and two computer programmers, Rop Gonggrijp and Jacob Appelbaum. The request covers addresses, screen names, telephone numbers and credit card and bank account numbers, but does not ask for the content of private messages sent using Twitter.

подробный анализ можно прочитать здесь, но куда важнее, мне кажется, сейчас не столько юридические ньюансы, сколько общая картина. и она получается совсем неутешительной:

The real damage to the Twitterites’ hopes for techno-democratization, however, lies in the fact that the Justice Department’s request is perfectly reasonable and justifiable by all legal standards. Twitter can’t refuse, so they protest by publicizing the request. Yet publicity in this case is simply precedent-setting, and it is a precedent that countries with Freedom House scores lower than America’s will happily cite. For repressive regimes, the benefit is clear.

A chilling effect will set in among the citizens of freer countries, as well. Just the rumor that the federal government would refuse to hire graduate students who read Wikileaks cable, as well as the more concrete instructions to federal employees and contractors not to read the material, has–in my direct, personal experience–led academics and grad students to shy away from discussing or reading such materials.

разумеется, если что-то нельзя уничтожить, то необходимо максимально затруднить доступ — в том числе и очевидными экономическими мерами: сегодня вы написали что-то в Twitter о WikiLeaks, а завтра лишись средств к существованию — ну, разве не восхитительный кнут и пряник?

остается только надеяться:

[Clay Shirky] recognizes that samizdat and Xeroxes and fax machines and text messaging and Twitter–each generation, it seems, brings its own new revolutionary technology–have only sometimes contributed to democratizing outcomes. Yet he argues that in the long run, open communication leads to open societies. Consider the printing press and the postal service, he says. The former facilitated the Protestant Reformation and the latter the American Revolution.

  

overload

1 January 2011 | Design, Internet, Lifeform, Twitter | 2 Comments

а вот, пожалуйста, еще диалог с Эваном Вилльямсом об изменившемся мире:

It seems to me that almost all tools we rely on to manage information weren’t designed for a world of infinite info. They were designed as if you could consume whatever was out there that you were interested in.

не без смешного, конечно[1]:

Twitter itself isn’t designed for this world of infinite information. (But) I want Twitter to be an antidote to infinite information, not a cause of it.

но снова, как и Гибсон, все о том же:

Om Malik: Do you think that the future of the Internet will involve machines thinking on our behalf

Evan Williams: Yes, they’ll have to. But it’s a combination of machines and the crowd. Data collected from the crowd that is analyzed by machines. For us, at least, that’s the future. Facebook is already like that. YouTube is like that. Anything that has a lot of information has to be like that. People are obsessed with social but it’s not really “social.” It’s making better decisions because of decisions of other people[2]. It’s algorithms based on other people to help direct your attention another way.

плюс, архитектура просто обязана меняться:

In the beginning, it was like a million little islands, some of them were bigger islands. If you create something on the web, you’re your own island and you try to get people to visit your island. Websites realized they couldn’t create everything themselves so they started to import things — advertising, search, and more and more things that were better created by someone else — especially things that had network effects. <...> On the mobile phone, you don’t have your own island. You’re renting land. It’s a good deal because there’s infrastructure provided (like moving into full service condo).

вплоть до мелочей:

If you think about user interface (UI) paradigms over the next few years, you have to think of the mobile handset. <...> We need a different way to navigate. <...> I think we need to design (our products) for a world of infinite information. Gmail’s priority inbox is a great example. They’re recognizing we may not read all our email.

ну да, ровно так все и есть.

[1] — поскольку очевидно, что именно Twitter в силу формата генерирует куда больше именно информации, чем все другие.
[2]например.

  

shit my book says

17 November 2010 | Amazon, Internet, Technology, Twitter | 5 Comments

смотрите, у нас уже есть устройство для чтения электронных книг с постоянным доступом в интернет, есть возможность пометить текст в читаемой книге и есть социальные сети.

так почему же до сих пор Amazon не приведет в порядок то, что они все-таки попытались запустить?

  

купля-продажа

20 October 2010 | Amazon, Economics, Facebook, Google, The Great Game, Twitter | No Comments

еще немного — вот очевидное о партнерстве:

Memo to Twitter: with search, do not grow a brain. Partner with the best at Google and Microsoft (see Facebook-Bing), and you’ll get great AdSense, AdWords, display ads, and mobile ads without having to run all the infrastructure—and manage all the people!—to do it. They should be willing to give you 70% of the revenues now that you’re doing a billion searches a day.

или, с другой стороны:

Here’s my simple reasoning for why Google won’t buy Twitter: Twitter won’t sell.

<...>

But there’s another reason Google won’t buy Twitter, and it’s this: Google is learning to be patient. Twitter is a big deal, but if you accept it as part of an emerging landscape, there’s no reason you need to own it. Given Twitter’s natural competitive positioning against Facebook, Google can partner with the emerging service in ways that provide both companies advantage against a shared enemy.

натурально, еще одна Большая игра. а что за игры без денег?

But when I brainstormed the map, I always wanted one feature that was a bit difficult to execute: Acquisition Mode.

ну да, сыграем-ка в Монополию:

So if you think it’s a good idea for Twitter to acquire, say, Foursquare, well, suggest it. And see who might vote for it. If you run a startup, hell, tell us who you want to be acquired by – and if you think you’re the acquirer, so much the better. Tell us that as well.

So far, folks think Amazon should acquire Netflix, Facebook should acquire Zynga, and eBay should acquire Yelp, among many others. Check it out, and suggest your own.

I love the web.

  

увлеченья

20 October 2010 | Economics, Facebook, Internet, Twitter | No Comments

прекрасная статья о том, насколько сильно Twitter недоценен, и чем этот сервис отличается от Facebook:

Facebook has utterly dominated the definition of the “social graph” to the point that conventional wisdom in Silicon Valley says that they have “already won social.” Few analysts seem to notice that the particular definition of “social graph” promulgated by Facebook—people you already know in real life—is not the only possible social graph. In fact, Facebook’s future revenue will actually be built on top of another social graph: the social interest graph, aka Pages & Likes.

An interest graph differs from the “people you know in real life” social graph in that it is:

  • Built on one-way following rather than two-way friending
  • Organized around shared interests, not personal relationships
  • Public by default, not private by default
  • Aspirational: not who you were in the past or even who you are, but who you want to be

ровно так все и есть: один social graph нисходит вниз, к своему прошлому, к тем, кого знаешь лично и их интересам, — другой же, напротив, идет вперед, к тому, что тебе интересно, и, через это, к тем, с кем хочешь общаться (ага-ага).

и дальше будет только еще больше занимательнее:

But Twitter is in theory even better positioned than Facebook to capitalize on the social interest graph. Its keys components are:

  1. The composition of the social graph
  2. The value of the data flowing through it
  3. The volume of the data

но растет все, да, именно отсюда:

Twitter makes me like people I’ve never met and Facebook makes me hate people I know in real life.

  

предсказание

16 October 2010 | Economics, Internet, Lifeform, Twitter | No Comments

немного про организмы:

Behavioral economics tells us that emotions can profoundly affect individual behavior and decision-making. Does this also apply to societies at large, i.e., can societies experience mood states that affect their collective decision making? By extension is the public mood correlated or even predictive of economic indicators? Here we investigate whether measurements of collective mood states derived from large-scale Twitter feeds are correlated to the value of the Dow Jones Industrial Average (DJIA) over time. We analyze the text content of daily Twitter feeds by two mood tracking tools, namely OpinionFinder that measures positive vs. negative mood and Google-Profile of Mood States (GPOMS) that measures mood in terms of 6 dimensions (Calm, Alert, Sure, Vital, Kind, and Happy). We cross-validate the resulting mood time series by comparing their ability to detect the public’s response to the presidential election and Thanksgiving day in 2008. A Granger causality analysis and a Self-Organizing Fuzzy Neural Network are then used to investigate the hypothesis that public mood states, as measured by the OpinionFinder and GPOMS mood time series, are predictive of changes in DJIA closing values. Our results indicate that the accuracy of DJIA predictions can be significantly improved by the inclusion of specific public mood dimensions but not others. We find an accuracy of 87.6% in predicting the daily up and down changes in the closing values of the DJIA and a reduction of the Mean Average Percentage Error by more than 6%.

Максу бы понравилось — если только мы не путаем здесь причины и следствия. а люди, как сказал поэт, есть “жертвы следствий”.

via.