Google Search Results Are Politically Biased
December 7, 2016
Google search results are supposed to be objective and accurate. The key phrase in the last sentence was objective, but studies have proven that algorithms can be just as biased as the humans who design them. One would think that Google, one of the most popular search engines in the world, who have discovered how to program objective algorithms, but according to the International Business Times, “Google Search Results Tend To Have Liberal Bias That Could Influence Public Opinion.”
Did you ever hear Uncle Ben’s advice to Spider-Man, “With great power comes great responsibility.” This advice rings true for big corporations, such as Google, that influence the public opinion. CanIRank.com conducted a study the discovered searches using political terms displayed more pages with a liberal than a conservative view. What does Google have to say about it?
The Alphabet-owned company has denied any bias and told the Wall Street Journal: ‘From the beginning, our approach to search has been to provide the most relevant answers and results to our users, and it would undermine people’s trust in our results, and our company, if we were to change course.’ The company maintains that its search results are based on algorithms using hundreds of factors which reflect the content and information available on the Internet. Google has never made its algorithm for determining search results completely public even though over the years researchers have tried to put their reasoning to it.
This is not the first time Google has been accused of a liberal bias in its search results. The consensus is that the liberal leanings are unintentional and is an actual reflection of the amount of liberal content on the Web.
What is the truth? Only the Google gods know.
Whitney Grace, December 7, 2016
Machine Learning Does Not Have All the Answers
November 25, 2016
Despite our broader knowledge, we still believe that if we press a few buttons and press enter computers can do all work for us. The advent of machine learning and artificial intelligence does not repress this belief, but instead big data vendors rely on this image to sell their wares. Big data, though, has its weaknesses and before you deploy a solution you should read Network World’s, “6 Machine Learning Misunderstandings.”
Pulling from Juniper Networks’s security intelligence software engineer Roman Sinayev explains some of the pitfalls to avoid before implementing big data technology. It is important not to take into consideration all the variables and unexpected variables, otherwise that one forgotten factor could wreck havoc on your system. Also, do not forget to actually understand the data you are analyzing and its origin. Pushing forward on a project without understanding the data background is a guaranteed fail.
Other practical advice, is to build a test model, add more data when the model does not deliver, but some advice that is new even to us is:
One type of algorithm that has recently been successful in practical applications is ensemble learning – a process by which multiple models combine to solve a computational intelligence problem. One example of ensemble learning is stacking simple classifiers like logistic regressions. These ensemble learning methods can improve predictive performance more than any of these classifiers individually.
Employing more than one algorithm? It makes sense and is practical advice why did that not cross our minds? The rest of the advice offered is general stuff that can be applied to any project in any field, just change the lingo and expert providing it.
Whitney Grace, November 25, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
AI to Profile Gang Members on Twitter
November 16, 2016
Researchers from Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis) are claiming that an algorithm developed by them is capable of identifying gang members on Twitter.
Vice.com recently published an article titled Researchers Claim AI Can Identify Gang Members on Twitter, which claims that:
A deep learning AI algorithm that can identify street gang members based solely on their Twitter posts, and with 77 percent accuracy.
The article then points out the shortcomings of the algorithm or AI by saying this:
According to one expert contacted by Motherboard, this technology has serious shortcomings that might end up doing more harm than good, especially if a computer pegs someone as a gang member just because they use certain words, enjoy rap, or frequently use certain emojis—all criteria employed by this experimental AI.
The shortcomings do not end here. The data on Twitter is being analyzed in a silo. For example, let us assume that few gang members are identified using the algorithm (remember, no location information is taken into consideration by the AI), what next?
Is it not necessary then to also identify other social media profiles of the supposed gang members, look at Big Data generated by them, analyze their communication patterns and then form some conclusion? Unfortunately, none of this is done by the AI. It, in fact, would be a mammoth task to extrapolate data from multiple sources just to identify people with certain traits.
And most importantly, what if the AI is put in place, and someone just for the sake of fun projects an innocent person as a gang member? As rightly pointed out in the article – machines trained on prejudiced data tend to reproduce those same, very human, prejudices.
Vishal Ingole, November 16, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Google May Be Edging Out Its Competitors Surreptitiously
November 9, 2016
Leading secure email service provider ProtonMail mysteriously vanished from Google’s search results for 10 long months. Though the search engine giant denies any wrongdoing on its part, privacy advocates are crying foul.
ZDNet in an article titled ProtonMail strikes out at Google for crippling encrypted email service searches says:
ProtonMail has accused Google of hiding the company from search results in what may have been an attempt to suffocate the Gmail competitor. The free encrypted email service, which caters to nearly one million users worldwide, has enjoyed an increasing user base and popularity over the past few years as governments worldwide seek to increase their surveillance powers.
This is not the first time that Google has been accused of misusing its dominant position to edge out its competitors. The technology giant is also facing anti-trust lawsuit in Europe over the way it manipulates search results to retain its dominance.
Though ProtonMail tried to contact Google multiple time, all attempts elicited no response from the company. Just as the secure email service provider vanished from its organic search results, it mysteriously reappeared enabling the email service provider to get back on its feet financially.
As stated in the article:
Once Google issued a “fix,” ProtonMail’s search ranking immediately recovered. Now, the company is ranked at number one and number three for the search terms at the heart of the situation.
What caused the outage is still unknown. According to ProtonMail, it might be a bug in the search engine algorithm. Privacy advocates, however, are of the opinion that ProtonMail’s encrypted email might have been irking Google.
Vishal Ingole, November 9, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Lucidworks Hires Watson
November 7, 2016
One of our favorite companies to track is Lucidworks, due to their commitment to open source technology and development in business enterprise systems. The San Diego Times shares that “Lucidworks Integrates IBM Watson To Fusion Enterprise Discovery Platform.” This means that Lucidworks has integrated IBM’s supercomputer into their Fusion platform to help developers create discovery applications to capture data and discover insights. In short, they have added a powerful big data algorithm.
While Lucidworks is built on open source software, adding a proprietary supercomputer will only benefit their clients. Watson has proven itself an invaluable big data tool and paired with the Fusion platform will do wonders for enterprise systems. Data is a key component to every industry, but understanding and implementing it is difficult:
Lucidworks’ Fusion is an application framework for creating powerful enterprise discovery apps that help organizations access all their information to make better, data-driven decisions. Fusion can process massive amounts of structured and multi-structured data in context, including voice, text, numerical, and spatial data. By integrating Watson’s ability to read 800 million pages per second, Fusion can deliver insights within seconds. Developers benefit from this platform by cutting down the work and time it takes to create enterprise discovery apps from months to weeks.
With the Watson upgrade to Lucidworks’ Fusion platform, users gain natural language processing and machine learning. It makes the Fusion platform act more like a Star Trek computer that can provide data analysis and even interpret results.
Whitney Grace, November 7, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Google Gives Third Day Keynote at Pubcon
November 1, 2016
Technology conferences are the thing to do when you want to launch a product, advertise a new business, network, or get a general consensus about the tech industry. There are multiple conferences revolving around different aspects in the tech industry held each month. In October 2016, Pubcon took place in Las Vegas, Nevada and they had a very good turn out. The thing that makes a convention, though, is the guests. Pubcon did not disappoint as on the third day, Google’s search expert Gary Illyes delivered the morning keynote. (Apparently, Illyes also hold the title Chief of Sunshine and Happiness at Google). Outbrain summed up the highlights of Pubcon 2016’s third day in “Pubcon 2016 Las Vegas: Day 3.”
Illyes spoke about search infrastructure, suggesting that people switch to HTTPS. His biggest push for HTTPS was that it protected users from “annoying scenarios” and it is good for UX. Google is also pushing for more mobile friendly Web sites. It will remove “mobile friendly” from search results and AMP can be used to make a user-friendly site. There is even bigger news about page ranking in the Google algorithm:
Our systems weren’t designed to get two versions of the same content, so Google determines your ranking by the Desktop version only. Google is now switching to a mobile version first index. Gary explained that there are still a lot of issues with this change as they are losing a lot of signals (good ones) from desktop pages that are don’t exist on mobile. Google created a separate mobile index, which will be its primary index. Desktop will be a secondary index that is less up to date.
As for ranking and spam, Illyes explained that Google is using human evaluators to understand modified search better, Rankbrain was not mentioned much, he wants to release the Panda algorithm, and Penguin will demote bad links in search results. Google will also release “Google O for voice search.
It looks like Google is trying to clean up search results and adapt to the growing mobile market, old news and new at the same time.
Whitney Grace, November 1, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Everyone Rejoice! We Now Have Emoji Search
June 1, 2016
It was only a matter of time after image search actually became a viable and useful tool that someone would develop a GIF search. Someone thought it would be a keen idea to also design an emoji search and now, ladies and gentlemen, we have it! Tech Viral reports that “Now You Can Search Images On Google Using Emoji.”
Using the Google search engine is a very easy process, type in a few keywords or a question, click search, and then delve into the search results. The Internet, though, is a place where people develop content and apps just for “the heck of it”. Google decided to design an emoji search option, probably for that very reason. Users can type in an emoji, instead of words to conduct an Internet search.
The new emoji search is based on the same recognition skills as the Google image search, but the biggest question is how many emojis will Google support with the new function?
“Google has taken searching algorithm to the next level, as it is now allowing users to search using any emoji icon. Google stated ‘An emoji is worth a thousand words’. This feature may be highly appreciated by lazy Google users, as they now they don’t need to type a complete line instead you just need to use an emoji for searching images.”
It really sounds like a search for lazy people and do not be surprised to get a variety of results that do not have any relation to the emoji or your intended information need. An emoji might be worth a thousand words, but that is a lot of words with various interpretations.
Whitney Grace, June 1, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
The Kardashians Rank Higher Than Yahoo
May 20, 2016
I avoid the Kardashians and other fame chasers, because I have better things to do with my time. I never figured that I would actually write about the Kardashians, but the phrase “never say never” comes into play. As I read Vanity Fair’s “Marissa Mayer Vs. ‘Kim Kardashian’s Ass” : What Sunk Yahoo’s Media Ambitions?” tells a bleak story about the current happenings at Yahoo.
Yahoo has ended many of its services, let go fifteen percent of staff, and there are very few journalists left on the team. The remaining journalists are not worried about producing golden content, they have to compete with a lot already on the Web, especially “Kim Kardashian’s ass” as they say.
When Marissa Mayer took over Yahoo as the CEO in 2012, she was determined to carve out Yahoo’s identity as a tech company. Mayer, however, wanted Yahoo to be media powerhouse, so she hired many well-known journalists to run specific niche projects in popular areas from finance to beauty to politics. It was not a successful move and now Yahoo is tightening its belt one more time. The Yahoo news algorithm did not mesh with the big name journalists, the hope was that their names would soar above popular content such as Kim Kardashian’s ass. They did not.
Much of Yahoo’s current work comes from the Alibaba market. The result is:
“But the irony is that Mayer, a self-professed geek from Silicon Valley, threw so much of her reputation behind high-profile media figures and went with her gut, just like a 1980s magazine editor—when even magazine editors, including those who don’t profess to “get” technology, have long abandoned that practice themselves, in favor of what the geeks in Silicon Valley are doing.”
Mayer was trying to create a premiere media company, but lower quality content is more popular than top of the line journalists. The masses prefer junk food in their news.
Whitney Grace, May 20, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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