Search Online Too Long? Tietze Disease Will Get You

January 8, 2016

I read “Technology Addict Develops Tietze Disease from Spending 23 Hours a Day Online.” I know, gentle reader, that using search engines can be frustrating. I know too that most of my readers spend hours upon hours trying to make Bing, Google, and Yandex point to a specific document which will answer your most pressing business question.

The fix is little more than search systems which return relevant results without ads and fluff.

Be aware. If you find yourself investing hours upon hours in crafting queries, you may succumb to “shooting pains” in your “back and chest.” You may have strained your “costal cartridges.”

The culprit Tietze disease.

Rest easy. The problem is benign. Go back to searching. Be tough.

Stephen E Arnold, January 8, 2016

The Long Goodbye of Internet Freedom Heralded by CISA

January 8, 2016

The article on MotherBoard titled Internet Freedom Is Actively Dissolving in America paints a bleak picture of our access to the “open internet.” In spite of the net neutrality win this year, broadband adoption is decreasing, and the number of poor Americans forced to choose between broadband and smartphone internet is on the rise. In addition to these unfortunate trends,

“Congress and President Obama made the Cybersecurity Information Sharing Act a law by including it in a massive budget bill (as an extra gift, Congress stripped away some of the few privacy provisions in what many civil liberties groups are calling a “surveillance bill”)… Finally, the FBI and NSA have taken strong stands against encryption, one of the few ways that activists, journalists, regular citizens, and yes, criminals and terrorists can communicate with each other without the government spying.”

What this means for search and for our access to the Internet in general, is yet to be seen. The effects of security laws and encryption opposition will obviously be far-reaching, but at what point do we stop getting the information that we need to be informed citizens?

And when you search, if it is not findable, does the information exist?

 

Chelsea Kerwin, January 8, 2016

Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph

In Scientific Study Hierarchy Is Observed and Found Problematic to Cooperation

January 8, 2016

The article titled Hierarchy is Detrimental for Human Cooperation on Nature.Com Scientific Reports discusses the findings of scientists related to social dynamics in human behavior. The abstract explains in no uncertain terms that hierarchies cause problems among human groups. Perhaps surprisingly to many millennials, hierarchies actually forestall cooperation. The article explains the circumstances of the study,

“Participants competed to earn hierarchy positions and then could cooperate with another individual in the hierarchy by investing in a common effort. Cooperation was achieved if the combined investments exceeded a threshold, and the higher ranked individual distributed the spoils unless control was contested by the partner. Compared to a condition lacking hierarchy, cooperation declined in the presence of a hierarchy due to a decrease in investment by lower ranked individuals.”

The study goes on to explain that regardless of whether power or rank was earned or arbitrary (think boss vs. boss’s son), it was “detrimental to cooperation.” It also goes into great detail on how to achieve superior cooperation through partnership and without an underlying hierarchical structure. There are lessons to take away from this study in the many fields, and the article is mainly focused on economic metaphors, but what about search vendors? Organization does, after all, have value.

 
Chelsea Kerwin, January 8, 2016

Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph

Oscobo: A Privacy Centric Web Search System

January 7, 2016

Before you get too excited, the Oscobo service uses results from Bing. Yep, that is the search engine which uses Baidu in China and Yandex in Russia for results.

The Oscobo search system is about privacy for its users, not about the dreary precision, recall, and relevance issues. “Oscobo Is An Anonymous Search Engine Targeting Brits” reports that the system reminded the article’s author of DuckDuckGo and Hulbee, both working to ensure the privacy of their users.

The results are filtered to cater to the needs of the UK online search it seems.

According to the write up, Oscobo’s business model

is simple paid search, based on bare-bones search data (i.e. whatever string a user is searching for) and their location — given the product is serving the U.K. market this is assumed to be the U.K., but whatever search string they input may further flesh out a more specific location.

There is no definition of “paid search”, however. You can check out the system at https://oscobo.co.uk/.

Stephen E Arnold, January 7, 2016

Did Apple Buy Topsy for an Edge over Google

January 7, 2016

A couple years ago, Apple bought Topsy Labs, a social analytics firm and Twitter partner out of San Francisco. Now, in “Apple Inc. Acquired Topsy to Beat Google Search Capabilities,” BidnessEtc reports on revelations from Topsy’s former director of business development, Aaron Hayes-Roth. Writer Martin Blanc reveals:

“The startup’s tools were considered to be fast and reliable by the customers who used them. The in-depth analysis was smart enough to go back to 2006 and provide users with analytics and data for future forecasts. Mr. Roth and his team always had a curiosity attached to how Apple would use Twitter in its ecosystem. Apple does not make use of Twitter that much; the account was made in 2011 and there aren’t many tweets that come out of the social network. However, Mr. Roth explains that it was not Twitter data that Apple had its eye on; it was the technology that powered it. The architecture of Topsy makes it easier for systems to search large amounts of data extremely fast with impressive indexing capabilities. Subsequently, Apple’s ecosystem has developed quite a lot since Siri was first introduced with the iPhone 4s. The digital assistant and the Spotlight search are testament to how far Apple’s search capabilities have come.”

The article goes on to illustrate some of those advances, then points out the ongoing rivalry between Apple and Google. Are these improvements the result of Topsy’s tech? And will they give Apple the edge they need over their adversary? Stay tuned.

 

Cynthia Murrell, January 7, 2016

Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph

Reverend Bayes: Still Making Headlines

January 6, 2016

Autonomy, now owned by Hewlett Packard Enterprise, was one of the first commercial search and content processing firms to embrace Bayesian methods. The approach in the 1990s was not as well known and as widely used as it is today. Part of the reason was the shroud of secrecy dropped over the method. Another factor was the skepticism some math folks had about the “judgment” factor required to set up Bayesian methods. That skepticism is still evident today even though Bayesian methods are used by many of the information processing outfits making headlines today.

A good example of the attitude appears in “Bayes’s Theorem: What’s the Big Deal?

Here’s the quote I noted:

Embedded in Bayes’ theorem is a moral message: If you aren’t scrupulous in seeking alternative explanations for your evidence, the evidence will just confirm what you already believe. Scientists often fail to heed this dictum, which helps explains why so many scientific claims turn out to be erroneous. Bayesians claim that their methods can help scientists overcome confirmation bias and produce more reliable results, but I have my doubts.

Bayesian methods are just one of the most used methods in analytics outfits. Will these folks change methods? Nah.

Stephen E Arnold, January 6, 2015

Google Search and Cultural Representation

January 6, 2016

Google Search has worked its way into our culture as an indispensable, and unquestioned, tool of modern life. However, the algorithms behind the platform have become more sophisticated, allowing Google to tinker more and more with search results. Since so many of us regularly use the search engine to interact with the outside world, Google’s choices (and ours) affect the world’s perception of itself. Researcher Safiya Umoja Noble details some of the adverse effects of this great power in her paper, “Google Search: Hyper-Visibility as a Means of Rendering Black Women and Girls Invisible,” posted at the University of Rochester’s InVisible Culture journal. Not surprisingly, commerce features prominently in the story. Noble writes:

“Google’s algorithmic practices of biasing information toward the interests of the powerful elites in the United States,14 while at the same time presenting its results as generated from objective factors, has resulted in a provision of information that perpetuates the characterizations of women and girls through misogynist and pornified websites. Stated another way, it can be argued that Google functions in the interests of its most influential (i.e. moneyed) advertisers or through an intersection of popular and commercial interests. Yet Google’s users think of it as a public resource, generally free from commercial interest15—this fact likely bolstered by Google’s own posturing as a company for whom the informal mantra, ‘Don’t be evil,’ has functioned as its motivational core. Further complicating the ability to contextualize Google’s results is the power of its social hegemony.16  At the heart of the public’s general understanding and trust in commercial search engines like Google, is a belief in the neutrality of technology … which only obscures our ability to understand the potency of misrepresentation that further marginalizes and renders the interests of Black women, coded as girls, invisible.”

Noble goes on to note ways we, the users, codify our existing biases through our very interaction with Google Search. To say the paper treats these topic in depth is an understatement. Noble provides enough background on the study of culture’s treatment of Black women and girls to get any non-social-scientist up to speed. Then, she describes the extension of that treatment onto the Web, and how certain commercial enterprises now depend on those damaging representations. Finally, the paper calls for a critical approach to search to address these, and similar, issues. It is an important, and informative, paper; we suggest interested readers give it a gander.

 

Cynthia Murrell, January 6, 2016

Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph

 

Search without Words: The ViSenze API

January 5, 2016

I read “GuangDa Li, Co-Founder and CTO ViSenze on Enabling Search without Key Words.” The article, I wish to point out, is written in words. To locate the article, one will have to use words to search for information about Dr. Li. Dragging his image to Google Images will not do the trick. The idea for search without words continues to attract attention. Ecommerce and law enforcement are keen to find alternatives to word centric queries. Searching for a text message with a particular emoji is not easy using words and phrases.

According to the write up:

In February 2013, GuangDa Li along with Oliver Tan, an industry veteran started ViSenze, a spin-off company from NExT, a research centre jointly established between National University of Singapore (NUS) and Tsinghua University of China. ViSenze has developed a technology that enables search without keywords. Users simply need to click a photo and ViSenze brings you the relevant search results based on that image.

The write up contains several points which I found interesting.

First, Mr. Li said:

Because of my background in internet media processing, I anticipated the change in the industry about 4 years ago – there was a sharp rise in the amount of multimedia content on the internet. The management, search and discovery of media content has become more and more demanding.

Image search is a challenge. Once promising systems to query video like Exalead’s system have dropped from public view. Video search on most services is frustrating.

Second, the business model for ViSenze is API focused. Mr. Li said:

ViSearch Search API is our flagship product and it also serves as the fundamentals for our other vertical applications. The key advantage of ViSearch API is that it is a perfect combination of latency, scalability and accuracy.

The third passage of interest to me was:

We used to be in stealth mode for a while. Only after our API was launched on the Rakuten Taiwan Ichiba website, did we start to talk with investors. It just happened.

I interpreted this to suggest that Rakuten recognizes that traditional eCommerce search systems like Amazon are vulnerable to a different information access approach.

Should Amazon worry about Rakuten or regulators? Amazon does not worry about much it seems. Its core search and cloud based search systems are, in my view, old school and frustrating for some users. Maybe ViSenze will offer a way to deliver a more effective solution for Rakuten. Competition might motive Amazon to do a better job with its own search and retrieval systems.

Stephen E Arnold, January 5, 2016

Search Engine for Children? Thinga

January 5, 2016

Short honk: Nervous about your child navigating to Yandex.com and entering a harmless query such as Czech auditions? No worries. Point them at Thinga. For information about about child-friendly search engine, get the details from “Thinga Is a Search Engine Designed for Kids.” Here’s the passage I highlighted:

Thinga has built its own content library that have been hand picked by Heinley’s team or pulled from websites that have been white listed and are kid-friendly, so basically if it isn’t inside their database, then kids won’t be able to search for it. The downside is that we suppose at the start, search results might be a little bit limited but we expect that over time it will grow.

This sounds a bit like The Point (Top 5% of the Internet) which was available in 1993 and then acquired by Lycos. It is useful to know that good ideas come and go. A smile to the Point team and Chris Kitze too. Thinga uses a different business model from our ad driven system. What is that angle? Ecommerce and maybe a printed magazine.

Stephen E Arnold, January 5, 2016

How Big Data Is Missing the Mark

January 5, 2016

At this point in the Big Data sensation, many businesses are swimming in data without the means to leverage it effectively. TechWeek Europe cites a recent survey from storage provider Pure Storage in its write-up, “Big Data ‘Fails Businesses’ Due to Access, Skills Shortage.” Interestingly, most of the problems seem to have more to do with human procedures and short-sightedness than any technical shortcomings. Writer Tom Jowitt lists the three top obstacles as a lack of skilled workers, limited access to information, and bureaucracy. He tells us:

“So what exactly is going wrong with Big Data to be causing such problems? Well over half (56 percent) of respondents said bureaucratic red tape was the most serious obstacle for business productivity. ‘Bureaucratic red tape around access to information is preventing companies from using their data to find those unique pieces of insight that lead to great ideas,’ said [Pure Storage’s James] Petter. ‘Data ownership is no longer just the remit of the CIO, the democratisation of insight across businesses enables them to disrupt the competition.’ But regulations are also causing worry, with one in ten of the companies citing data protection concerns as holding up their dissemination of information and data throughout their business. The upcoming EU General Data Protection Regulation will soon affect every single company that stores data.”

The survey reports that missed opportunities have cost businesses billions of pounds per year, and almost three-quarters of respondents say their organizations collect data that is just collecting dust. Both cost and time are reasons that information remains unprocessed. On the other hand, Jowitt points to another survey by CA Technologies; most of its respondents expect the situation to improve, and for their data collections to bring profits down the road. Let us hope they are correct.

 

Cynthia Murrell, January 5, 2016

Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph

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