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Weiye Loh

Hacker attacks threaten to dampen cloud computing's prospects | Reuters - 0 views

  • Security is a hot issue in the computing world. Hackers broke into Sony's networks and accessed the information of more than 1 million customers, the latest of several security breaches.The breaches were the latest attacks on high-profile firms, including defense contractor Lockheed Martin and Google, which pointed the blame at China.
  • Analysts and industry experts believe hardware-based security provides a higher level of protection than software with encryption added to data in the servers. Chipmakers are working to build more authentication into the silicon.
  • one of the problems cloud faces is that it is a fragmented market where many vendors provide different security solutions based on their own standards.Intel's rival ARM and Advanced Micro Devices are also in the process of embedding higher security in their chips and processors, but working with different partners.If there was an open standard to follow, it would help the industry to build a much secure cloud system, according to AMD.
Weiye Loh

Jonathan Stray » Measuring and improving accuracy in journalism - 0 views

  • Accuracy is a hard thing to measure because it’s a hard thing to define. There are subjective and objective errors, and no standard way of determining whether a reported fact is true or false
  • The last big study of mainstream reporting accuracy found errors (defined below) in 59% of 4,800 stories across 14 metro newspapers. This level of inaccuracy — where about one in every two articles contains an error — has persisted for as long as news accuracy has been studied, over seven decades now.
  • With the explosion of available information, more than ever it’s time to get serious about accuracy, about knowing which sources can be trusted. Fortunately, there are emerging techniques that might help us to measure media accuracy cheaply, and then increase it.
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  • We could continuously sample a news source’s output to produce ongoing accuracy estimates, and build social software to help the audience report and filter errors. Meticulously applied, this approach would give a measure of the accuracy of each information source, and a measure of the efficiency of their corrections process (currently only about 3% of all errors are corrected.)
  • Real world reporting isn’t always clearly “right” or “wrong,” so it will often be hard to decide whether something is an error or not. But we’re not going for ultimate Truth here,  just a general way of measuring some important aspect of the idea we call “accuracy.” In practice it’s important that the error counting method is simple, clear and repeatable, so that you can compare error rates of different times and sources.
  • Subjective errors, though by definition involving judgment, should not be dismissed as merely differences in opinion. Sources found such errors to be about as common as factual errors and often more egregious [as rated by the sources.] But subjective errors are a very complex category
  • One of the major problems with previous news accuracy metrics is the effort and time required to produce them. In short, existing accuracy measurement methods are expensive and slow. I’ve been wondering if we can do better, and a simple idea comes to mind: sampling. The core idea is this: news sources could take an ongoing random sample of their output and check it for accuracy — a fact check spot check
  • Standard statistical theory tells us what the error on that estimate will be for any given number of samples (If I’ve got this right, the relevant formula is standard error of a population proportion estimate without replacement.) At a sample rate of a few stories per day, daily estimates of error rate won’t be worth much. But weekly and monthly aggregates will start to produce useful accuracy estimates
  • the first step would be admitting how inaccurate journalism has historically been. Then we have to come up with standardized accuracy evaluation procedures, in pursuit of metrics that capture enough of what we mean by “true” to be worth optimizing. Meanwhile, we can ramp up the efficiency of our online corrections processes until we find as many useful, legitimate errors as possible with as little staff time as possible. It might also be possible do data mining on types of errors and types of stories to figure out if there are patterns in how an organization fails to get facts right.
  • I’d love to live in a world where I could compare the accuracy of information sources, where errors got found and fixed with crowd-sourced ease, and where news organizations weren’t shy about telling me what they did and did not know. Basic factual accuracy is far from the only measure of good journalism, but perhaps it’s an improvement over the current sad state of affairs
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    Professional journalism is supposed to be "factual," "accurate," or just plain true. Is it? Has news accuracy been getting better or worse in the last decade? How does it vary between news organizations, and how do other information sources rate? Is professional journalism more or less accurate than everything else on the internet? These all seem like important questions, so I've been poking around, trying to figure out what we know and don't know about the accuracy of our news sources. Meanwhile, the online news corrections process continues to evolve, which gives us hope that the news will become more accurate in the future.
Jun Jie Tan

When and what to fire will be part of hardware and software 'package' - 2 views

AI

started by Jun Jie Tan on 14 Oct 09 no follow-up yet
Jody Poh

Powering our way out of poverty - 3 views

http://news.bbc.co.uk/2/hi/science/nature/8046112.stm Only the first part of the article before "Cheap and Continuous" is relevant. Although the whole article is about saving the environment, it h...

social progress technology ethics justice

started by Jody Poh on 03 Nov 09 no follow-up yet
Weiye Loh

Google Chrome OS: Ditch Your Hard Drives, the Future Is the Web | Gadget Lab | Wired.com - 2 views

  • With a strong focus on speed, the Chrome OS promises nearly instant boot times of about 7 seconds for users to login to their computers.
  • t will not be available as a download to run and install. Instead, Chrome OS is only shipping on specific hardware from manufacturers Google has partnered with. That means if you want Chrome OS, you’ll have to purchase a Chrome OS device.
  • Chrome OS netbooks will not have traditional hard disk drives — they will rely on non-volatile flash memory and internet-based storage for saving all of your data.
    • Weiye Loh
       
      So who's going to own my data? me? or Google? is it going to be secure? what happens when there's a breach of privacy? Do i have to sign a disclaimer before  I use it? hmm. 
    • Jun Jie Tan
       
      on the internet, google owns you
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  • All the applications will be web-based, meaning users won’t have to install apps, manage updates or even backup their data. All data will be stored in the cloud, and users won’t even have to bother with anti-virus software: Google claims it will monitor code to prevent malicious activity in Chrome OS web apps.
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    Chrome OS netbooks will not have traditional hard disk drives - they will rely on non-volatile flash memory and internet-based storage for saving all of your data.
Weiye Loh

Designers Make Data Much Easier to Digest - NYTimes.com - 0 views

  • On the benefit side, people become more engaged when they can filter information that is presented visually and make discoveries on their own. On the risk side, Professor Shneiderman says, tools as powerful as visualizations have the potential to mislead or confuse consumers. And privacy implications arise, he says, as increasing amounts of personal, housing, medical and financial data become widely accessible, searchable and viewable.
  • In the 1990s, Professor Shneiderman developed tree mapping, which uses interlocking rectangles to represent complicated data sets. The rectangles are sized and colored to convey different kinds of information, like revenue or geographic region, says Jim Bartoo, the chief executive of the Hive Group, a software company that uses tree mapping to help companies and government agencies monitor operational data. When executives or plant managers see the nested rectangles grouped together, he adds, they should be able to immediately spot anomalies or trends. In one tree-map visualization of a sales department on the Hive Group site, red tiles represent underperforming sales representatives while green tiles represent people who exceeded their sales quotas. So it’s easy to identify the best sales rep in the company: the biggest green tile. But viewers can also reorganize the display — by region, say, or by sales manager — to see whether patterns exist that explain why some employees are falling behind. “It’s the ability of the human brain to pick out size and color” that makes tree mapping so intuitive, Mr. Bartoo says. Information visualization, he adds, “suddenly starts answering questions that you didn’t know you had.”
  • data visualization is no longer just a useful tool for researchers and corporations. It’s also an entertainment and marketing vehicle.
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  • In 2009, for example, Stamen Design, a technology and design studio in San Francisco, created a live visualization of Twitter traffic during the MTV Video Music awards. In the animated graphic, floating bubbles, each displaying a photograph of a celebrity, expanded or contracted depending on the volume of Twitter activity about each star. The project provided a visceral way for viewers to understand which celebrities dominated Twitter talk in real time, says Eric Rodenbeck, the founder and creative director of Stamen Design.
  • Designers once created visual representations of data that would steer viewers to information that seemed the most important or newsworthy, he says; now they create visualizations that contain attractive overview images and then let users direct their own interactive experience — wherever it may take them. “It’s not about leading with a certain view anymore,” he says. “It’s about delivering the view that gets the most participation and engagement.”
Weiye Loh

Evolutionary analysis shows languages obey few ordering rules - 0 views

  • The authors of the new paper point out just how hard it is to study languages. We're aware of over 7,000 of them, and they vary significantly in complexity. There are a number of large language families that are likely derived from a single root, but a large number of languages don't slot easily into one of the major groups. Against that backdrop, even a set of simple structural decisions—does the noun or verb come first? where does the preposition go?—become dizzyingly complex, with different patterns apparent even within a single language tree.
  • Linguists, however, have been attempting to find order within the chaos. Noam Chomsky helped establish the Generative school of thought, which suggests that there must be some constraints to this madness, some rules that help make a language easier for children to pick up, and hence more likely to persist. Others have approached this issue via a statistical approach (the authors credit those inspired by Joseph Greenberg for this), looking for word-order rules that consistently correlate across language families. This approach has identified a handful of what may be language universals, but our uncertainty about language relationships can make it challenging to know when some of these are correlations are simply derived from a common inheritance.
  • For anyone with a biology background, having traits shared through common inheritance should ring a bell. Evolutionary biologists have long been able to build family trees of related species, called phylogenetic trees. By figuring out what species have the most traits in common and grouping them together, it's possible to identify when certain features have evolved in the past. In recent years, the increase in computing power and DNA sequences to align has led to some very sophisticated phylogenetic software, which can analyze every possible tree and perform a Bayesian statistical analysis to figure out which trees are most likely to represent reality. By treating language features like subject-verb order as a trait, the authors were able to perform this sort of analysis on four different language families: 79 Indo-European languages, 130 Austronesian languages, 66 Bantu languages, and 26 Uto-Aztecan languages. Although we don't have a complete roster of the languages in those families, they include over 2,400 languages that have been evolving for a minimum of 4,000 years.
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  • The results are bad news for universalists: "most observed functional dependencies between traits are lineage-specific rather than universal tendencies," according to the authors. The authors were able to identify 19 strong correlations between word order traits, but none of these appeared in all four families; only one of them appeared in more than two. Fifteen of them only occur in a single family. Specific predictions based on the Greenberg approach to linguistics also failed to hold up under the phylogenetic analysis. "Systematic linkages of traits are likely to be the rare exception rather than the rule," the authors conclude.
  • If universal features can't account for what we observe, what can? Common descent. "Cultural evolution is the primary factor that determines linguistic structure, with the current state of a linguistic system shaping and constraining future states."
  • it still leaves a lot of areas open for linguists to argue about. And the study did not build an exhaustive tree of any of the language families, in part because we probably don't have enough information to classify all of them at this point.
  • Still, it's hard to imagine any further details could overturn the gist of things, given how badly features failed to correlate across language families. And the work might be well received in some communities, since it provides an invitation to ask a fascinating question: given that there aren't obvious word order patterns across languages, how does the human brain do so well at learning the rules that are a peculiarity to any one of them?
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    young children can easily learn to master more than one language in an astonishingly short period of time. This has led a number of linguists, most notably Noam Chomsky, to suggest that there might be language universals, common features of all languages that the human brain is attuned to, making learning easier; others have looked for statistical correlations between languages. Now, a team of cognitive scientists has teamed up with an evolutionary biologist to perform a phylogenetic analysis of language families, and the results suggest that when it comes to the way languages order key sentence components, there are no rules.
Weiye Loh

When information is power, these are the questions we should be asking | Online Journalism Blog - 0 views

  • “There is absolutely no empiric evidence that shows that anyone actually uses the accounts produced by public bodies to make any decision. There is no group of principals analogous to investors. There are many lists of potential users of the accounts. The Treasury, CIPFA (the UK public sector accounting body) and others have said that users might include the public, taxpayers, regulators and oversight bodies. I would be prepared to put up a reward for anyone who could prove to me that any of these people have ever made a decision based on the financial reports of a public body. If there are no users of the information then there is no point in making the reports better. If there are no users more technically correct reports do nothing to improve the understanding of public finances. In effect all that better reports do is legitimise the role of professional accountants in the accountability process.
  • raw data – and the ability to interrogate that – should instead be made available because (quoting Anthony Hopwood): “Those with the power to determine what enters into organisational accounts have the means to articulate and diffuse their values and concerns, and subsequently to monitor, observe and regulate the actions of those that are now accounted for.”
  • Data is not just some opaque term; something for geeks: it’s information: the raw material we deal in as journalists. Knowledge. Power. The site of a struggle for control. And considering it’s a site that journalists have always fought over, it’s surprisingly placid as we enter one of the most important ages in the history of information control.
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  • 3 questions to ask of any transparency initiative: If information is to be published in a database behind a form, then it’s hidden in plain sight. It cannot be easily found by a journalist, and only simple questions will be answered. If information is to be published in PDFs or JPEGs, or some format that you need proprietary software to see, then it cannot be easily be questioned by a journalist If you will have to pass a test to use the information, then obstacles will be placed between the journalist and that information The next time an organisation claims that they are opening up their information, tick those questions off. (If you want more, see Gurstein’s list of 7 elements that are needed to make effective use of open data).
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    control of information still represents the exercise of power, and how shifts in that control as a result of the transparency/open data/linked data agenda are open to abuse, gaming, or spin.
Weiye Loh

Net neutrality enshrined in Dutch law | Technology | guardian.co.uk - 0 views

  • The measure, which was adopted with a broad majority in the lower house of parliament, will prevent KPN, the Dutch telecommunications market leader, and the Dutch arms of Vodafone and T-Mobile from blocking or charging for internet services like Skype or WhatsApp, a free text service. Its sponsors said that the measure would pass a pro forma review in the Dutch senate.
  • The Dutch restrictions on operators are the first in the EU. The European commission and European parliament have endorsed network neutrality guidelines but have not yet taken legal action against operators that block or impose extra fees on consumers using services such as Skype, the voice and video service being acquired by Microsoft, and WhatsApp, a mobile software maker based in California.
  • Advocates hailed the move as a victory for consumers, while industry officials predicted that mobile broadband charges could rise in the Netherlands to compensate for the new restrictions.
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  • Only one other country, Chile, has written network neutrality requirements into its telecommunications law. The Chilean law, which was approved in July 2010, took effect in May.
  • In the US, an attempt by the Federal Communications Commission to impose a similar set of network neutrality restrictions on American operators has been tied up in legal challenges from the industry.
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    The Netherlands has become the first country in Europe to enshrine the concept of network neutrality into national law by banning its mobile telephone operators from blocking or charging consumers extra for using internet-based communications services.
Weiye Loh

Facebook blocks Google Chrome extension for exporting friends | ZDNet - 0 views

  • Facebook Friend Exporter wasn’t designed with Google+ in mind (version 1 was in fact released in November 2010), but it has exploded in the past week as Google+ beta users look for ways to port over all their Facebook friends to Google+. Facebook clearly noticed a spike in usage (the extension now has more than 17,000 users), and decided to block it. Mansour says that Facebook removed emails from their mobile site, which were critical to the original design of his extension. He told me that the company had implemented a throttling mechanism: if you visit any friend page five times in a short period of time, the email field is removed.
  • “Facebook is actually hiding data (email) from you to see when your friends explicitly shared that to you,” Mansour told me in an e-mail. “Making it really hard to scrape because the only missing data is your emails, and that is your friends identity. Nothing else is.”
  • As CNET points out, Facebook Friend Exporter technically violates Facebook’s Terms of Service. Section 3.2 states the following: You will not collect users’ content or information, or otherwise access Facebook, using automated means (such as harvesting bots, robots, spiders, or scrapers) without our permission. Mansour doesn’t care about this, as he says in the extension’s description: Get *your* data contact out of Facebook, whether they want you to or not. You gave them your friends and allowed them to store that data, and you have right to take it back out! Facebook doesn’t own my friends.
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  • After he found out that Facebook was throttling the email field once his extension got popular, he wrote the following on his Google+ profile: I am bloody annoyed now, because this proves Facebook owns every users data on Facebook. You don’t own anything!
Weiye Loh

Google is funding a new software project that will automate writing local news - Recode - 0 views

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    "Radar aims to automate local reporting with large public databases from government agencies or local law enforcement - basically roboticizing the work of reporters. Stories from the data will be penned using Natural Language Generation, which converts information gleaned from the data into words. The robotic reporters won't be working alone. The grant includes funds allocated to hire five journalists to identify datasets, as well as curate and edit the news articles generated from Radar. The project also aims to create automated ways to add images and video to robot-made stories."
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