The Force of the Dark Web May Not Need Sides
April 14, 2016
The name “Dark Web” has sensational language written all over it. Such a label calls for myth-busting articles to be published, such as the recent one from Infosecurity Magazine, The Dark Web — Is It All Bad?. This piece highlights the opinions of James Chappell, CTO and Co-founder of Digital Shadows, who argues the way the Dark Web is portrayed in the media pigeonholes sites accessible by Tor as for criminal purposes. Chappell is quoted,
“Looking at some of the press coverage you could be forgiven for thinking that the Dark Web is solely about criminality,” he told Infosecurity. “In reality, this is not the case and there are many legitimate uses alongside the criminal content that can be found on these services. Significantly – criminality is an internet-wide problem, rather than exclusively a problem limited to just the technologies that are labelled with the Dark Web.”
The author’s allusion to Star Wars’ divided force, between supposed “good” and “bad” seems an appropriate analogy to the two sides of the internet. However, with a slightly more nuanced perspective, could it not be argued that Jedi practices, like those of the Sith, are also questionable? Binaries may be our preferred cultural tropes, as well as the building blocks of computer software programming, but let’s not forget the elements of variability: humans and time.
Megan Feil, April 14, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Use the Sentiment Analysis Luke
December 22, 2015
The newest Star Wars film is out in theaters and any credible Star Wars geek has probably seen the film at least twice. One theme that continues to be prevalent in the franchise is the use of the mystical, galactic power the Force. The Force gives the Jedi special powers, such as the ability to read a person’s mind. Computer Weekly says that data will be able to do the same thing in: “Sentiment Analysis With Hadoop: 5 Steps To Becoming A Mind Reader.”
While the article title reads more like a kit on how to became a psychic cheat, sentiment analysis has proven to predict a person’s actions, especially their shopping habits. Sentiment analysis is a huge market for companies wanting to learn how to reach their shoppers on a more intimate level, predict trends before they happen, and connect with shoppers in real-time. Apache Hadoop is a tool used to harness the power of data to make anyone with the right knowledge a mind reader and Twitter is one of the tools used.
First-data is collect, second-label data to create a data dictionary with positive or negative annotations, third-run analytics, fourth-run through a beta phase, and fifth-get the insights. While it sounds easy, the fourth step is going to be the biggest hassle:
“Remember that analytic tools that just look for positive or negative words can be entirely misleading if they miss important context. Typos, intentional misspellings, emoticons and jargon are just few additional obstacles in the task.
Computers also don’t understand sarcasm and irony and as a general rule are yet to develop a sense of humor. Too many of these and you will lose accuracy. It is probably best to address this point by fine-tuning your model.”
The purpose of sentiment analysis is teaching software how to “think” like a human and understand all our illogical ways. (Hmm…that was a Star Trek reference, whoops!) Hadoop Apache might not have light sabers or help you find droids, but it does offer to help understand consumers spending habits. So how about, “These are the greenbacks you have been looking for.”
Whitney Grace, December 22, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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