Facebook Still Having Trouble with Trending Topics

October 28, 2016

Despite taking action to fix its problems with Trending Topics,  Facebook is still receiving criticism on the issue. A post at Slashdot tells us, “The Washington Post Tracked Facebook’s Trending Topics for 3 Weeks, Found 5 Fake Stories and 3 Inaccurate Articles.” The Slashdot post by msmash cites a Washington Post article. (There’s a paywall if, like me, you’ve read your five free WP articles for this month.) The Post monitored Facebook’s Trending Topics for three weeks and found that issue far from resolved. Msmash quotes the report:

The Megyn Kelly incident was supposed to be an anomaly. An unfortunate one-off. A bit of (very public, embarrassing) bad luck. But in the six weeks since Facebook revamped its Trending system — and a hoax about the Fox News Channel star subsequently trended — the site has repeatedly promoted ‘news’ stories that are actually works of fiction. As part of a larger audit of Facebook’s Trending topics, the Intersect logged every news story that trended across four accounts during the workdays from Aug. 31 to Sept. 22. During that time, we uncovered five trending stories that were indisputably fake and three that were profoundly inaccurate. On top of that, we found that news releases, blog posts from sites such as Medium and links to online stores such as iTunes regularly trended. Facebook declined to comment about Trending on the record.

It is worth noting that the team may not have caught every fake story, since it only checked in with Trending Topics once every hour. Quite the quandary. We wonder—would a tool like Google’s new fact-checking feature help? And, if so, will Facebook admit its rival is on to something?

Cynthia Murrell, October 28, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph

Posting to the Law Enforcement Database

October 28, 2016

The article titled Police Searches of Social Media Face Privacy Pushback on Underground Network discusses the revelations of an NPR article of the same name. While privacy laws are slow to catch up to the fast-paced changes in social media, law enforcement can use public data to track protesters (including retroactive tracking). The ACLU and social media networks are starting to push back against the notion that this is acceptable. The NPR article refers to the Twitter guidelines,

The guidelines bar search companies from allowing law enforcement agencies to use the data to “investigate, track or surveil Twitter’s users (…) in a manner that would require a subpoena, court order, or other valid legal process or that would otherwise have the potential to be inconsistent with our users’ reasonable expectations of privacy.” But that policy is very much open to interpretation, because police don’t usually need legal orders to search public social media…

Some police departments have acknowledged that fuzziness around privacy laws puts the onus on them to police their own officers. The Dunwoody, Georgia police department requires supervisor approval for social media searches. They explain that this is to prevent targeting “particular groups” of people. According to the article, how this issue unfolds is largely up to police departments and social media giants like Twitter and Facebook to decide. But social media has been around for over a decade. Where are the laws defining and protecting our privacy?

Chelsea Kerwin, October 28, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph

Google Introduces Fact Checking Tool

October 26, 2016

If it works as advertised, a new Google feature will be welcomed by many users—World News Report tells us, “Google Introduced Fact Checking Feature Intended to Help Readers See Whether News Is Actually True—Just in Time for US Elections.” The move is part of a trend for websites, who seem to have recognized that savvy readers don’t just believe everything they read. Writer Peter Woodford reports:

Through an algorithmic process from schema.org known as ClaimReview, live stories will be linked to fact checking articles and websites. This will allow readers to quickly validate or debunk stories they read online. Related fact-checking stories will appear onscreen underneath the main headline. The example Google uses shows a headline over passport checks for pregnant women, with a link to Full Fact’s analysis of the issue. Readers will be able to see if stories are fake or if claims in the headline are false or being exaggerated. Fact check will initially be available in the UK and US through the Google News site as well as the News & Weather apps for both Android and iOS. Publishers who wish to become part of the new service can apply to have their sites included.

Woodford points to Facebook’s recent trouble with the truth within its Trending Topics feature and observes that many people are concerned about the lack of honesty on display this particular election cycle. Google, wisely, did not mention any candidates, but Woodford notes that Politifact rates 71% of Trump’s statements as false (and, I would add, 27% of Secretary Clinton’s statements as false. Everything is relative.)  If the trend continues, it will be prudent for all citizens to rely on (unbiased) fact-checking tools on a regular basis.

Cynthia Murrell, October 26, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph

Artificial Intelligence Is Only a Download Away

October 17, 2016

Artificial intelligence still remains a thing of imagination in most people’s minds, because we do not understand how much it actually impacts our daily lives.  If you use a smartphone of any kind, it is programmed with software, apps, and a digital assistant teeming with artificial intelligence.  We are just so used to thinking that AI is the product of robots that we are unaware our phones, tablets, and other mobiles devices are little robots of their own.

Artificial intelligence programming and development is also on the daily task list on many software technicians.  If you happen to have any technical background, you might be interested to know that there are many open source options to begin experimenting with artificial intelligence.  Datamation rounded up the “15 Top Open Source Artificial Intelligence Tools” and these might be the next tool you use to complete your machine learning project.  The article shares that:

Artificial Intelligence (AI) is one of the hottest areas of technology research. Companies like IBM, Google, Microsoft, Facebook and Amazon are investing heavily in their own R&D, as well as buying up startups that have made progress in areas like machine learning, neural networks, natural language and image processing. Given the level of interest, it should come as no surprise that a recent artificial intelligence report from experts at Stanford University concluded that ‘increasingly useful applications of AI, with potentially profound positive impacts on our society and economy are likely to emerge between now and 2030.

The statement reiterates what I already wrote.  The list runs down open source tools, including PredictionIO, Oryx 2, OpenNN, MLib, Mahout, H20, Distributed Machine Learning Toolkit, Deeplearning4j, CNTK, Caffe, SystemML, TensorFlow, and Torch.  The use of each tool is described and most of them rely on some sort of Apache software.  Perhaps your own artificial intelligence project can contribute to further development of these open source tools.

Whitney Grace, October 17, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph

The Dark Web Casts a Shadow Toward Facebook

October 13, 2016

I read “Facebook Marketplace Becomes Black Market for Drugs and Guns.” The Dark Web is small, sort of a hassle, and generally disappointing for some of its most enthusiastic cheerleaders.

What’s that mean?

According to the write up:

Facebook launched Marketplace on Monday, October 3, offering users the opportunity to buy and sell items within their local community. On the day of its launch, the eBay and Craigslist competitor was already being used to list adult services, animals, drugs and other items that breach Facebook’s policies.

I learned:

Users took to social media to report listings on Marketplace, which included a hedgehog, a gun, a snake and a baby.

Facebook is in modification mode. Allegedly the company said via a spokesperson:

We are working to fix the problem and will be closely monitoring our systems to ensure we are properly identifying and removing violations before giving more people access to Marketplace.”

Several observations:

  1. Facebook reaches lots of people. The Dark Web doesn’t. Ergo. The Dark Web’s tendrils will reach toward the Facebook thing.
  2. Bad actors on the Dark Web are probably easier and quicker for authorities to observe.
  3. Facebook’s me too did not anticipate that its customers would bring the darkness to the otherwise sunny climes of grandmothers and their friends.
  4. Facebook’s strategic planning seems to have a bit of a gap.

Worth monitoring. From a distance.

Stephen E Arnold, October 13, 2016

The Design of Our Future

September 26, 2016

An article at Co.Exist suggests we all pause to consider what we want our world to look like, in “We Need To Spend More Time Questioning Our Technology-Driven Future.” Along with the boundless potential of today’s fast-evolving technology come consequences, many of them unforeseen. Writer Ben Schiller cites futurist Gerd Leonhard, author of the book, Technology vs. Humanity. Far from a modern Luddite, Leonhard is a consultant for Google and a daily advocate for the wonders of advancing technology. His thorough understanding of the topic allows him to see potential pitfalls, as well.

The shape of technology today calls for society to update the way it approaches doing business, says Leonhard, and move past the “industrial-age paradigm of profit and growth at all costs, or some outmoded technological imperative that may have served us well in the 1980s.” He also points to the environmental problems created by fossil fuel companies as an example—if we aren’t careful, the AI and genetic engineering fields could develop their own “externalities,” or problems others will pay for, one way or another. Can we even imagine all the ways either of those fields could potentially cause harm?

Schiller writes of Leonhard:

The futurist outlines a philosophy he calls ‘exponential humanism’—the human equivalent of exponential technology. As a species we’re not developing the necessary skills and ethical frameworks to deal with technology that’s moving faster than we are, he says. We may be able to merge biology and technology, augment our minds and bodies, become superhuman, end disease, and even prolong life. But we’re yet to ask ourselves whether, for example, extending life is actually a good thing (as a society—there will always be individuals who for some reason want to live to 150). And, more to the point, will these incredible advances be available to everyone, or just a few people? To Leonhard, our current technological determinism—the view that technology itself is the purpose—is as dangerous as Luddism was 200-odd years ago. Without moral debate, we’re trusting in technology for its own sake, not because it actually improves our lives.

The write-up gives a few ideas on how to proactively shape our future. For example, Facebook could take responsibility for the content on its site instead of resting on its algorithm. Leonhard also suggests companies that replace workers with machines pay a tax  that would help soften the blow to society, perhaps even with a minimum guaranteed income. Far-fetched? Perhaps. But in a future with fewer jobs and more freely-available products, a market-driven economy might just be doomed. If that is the case, what would we prefer to see emerge in its place?

Cynthia Murrell, September 26, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
There is a Louisville, Kentucky Hidden Web/Dark Web meet up on September 27, 2016.
Information is at this link: https://www.meetup.com/Louisville-Hidden-Dark-Web-Meetup/events/233599645/

Gleaning Insights and Advantages from Semantic Tagging for Digital Content

September 22, 2016

The article titled Semantic Tagging Can Improve Digital Content Publishing on Aptara Corp. blog reveals the importance of indexing. The article waves the flag of semantic tagging at the publishing industry, which has been pushed into digital content kicking and screaming. The difficulties involved in compatibility across networks, operating systems, and a device are quite a headache. Semantic tagging could help, if only anyone understood what it is. The article enlightens us,

Put simply, semantic markups are used in the behind-the-scene operations. However, their importance cannot be understated; proprietary software is required to create the metadata and assign the appropriate tags, which influence the level of quality experienced when delivering, finding and interacting with the content… There have been many articles that have agreed the concept of intelligent content is best summarized by Ann Rockley’s definition, which is “content that’s structurally rich and semantically categorized and therefore automatically discoverable, reusable, reconfigurable and adaptable.

The application to the publishing industry is obvious when put in terms of increasing searchability. Any student who has used JSTOR knows the frustrations of searching digital content. It is a complicated process that indexing, if administered correctly, will make much easier. The article points out that authors are competing not only with each other, but also with the endless stream of content being created on social media platforms like Facebook and Twitter. Publishers need to take advantage of semantic markups and every other resource at their disposal to even the playing field.

Chelsea Kerwin, September 22, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
There is a Louisville, Kentucky Hidden Web/Dark Web meet up on September 27, 2016.
Information is at this link: https://www.meetup.com/Louisville-Hidden-Dark-Web-Meetup/events/233599645/

Elastic Links Search and Social Through Graph Capabilities

September 13, 2016

The article titled Confused About Relationships? Elasticsearch Gets Graphic on The Register communicates the latest offering from Elasticsearch, the open-source search server based on Apache’s Lucene. Graph capabilities are an exciting new twist on search that enables users to map out relationships through the search engine and the Kibana data visualization plug-in. The article explains,

By fusing graph with search, Elastic hopes to combine the power of social with that earlier great online revolution, the revolution that gave us Google: search. Graph in Elasticsearch establishes relevance by establishing the significance of each relationship versus the global average to return important results. That’s different to what Elastic called “traditional” relationship mapping, which is based on a count of the frequency of a given relationship.

Elasticsearch sees potential for their Graph capabilities in behavioral analysis, particularly in areas such as drug discovery, fraud detection, and customized medicine and recommendations. When it comes to identifying business opportunities, Graph databases have already proven their value. Discovering connections and trimming degrees of separation are all of vital importance in social media. Social networks like Twitter have been using them since the beginning of NoSQL. Indeed, Facebook is a customer of Elastic, the business version of Elasticsearch that was founded in 2012. Other users of Elasticsearch include Netflix, StumbleUpon, and Mozilla.

Chelsea Kerwin, September 13, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
There is a Louisville, Kentucky Hidden Web/Dark Web meet up on September 27, 2016.
Information is at this link: https://www.meetup.com/Louisville-Hidden-Dark-Web-Meetup/events/233599645/

A Snapchat Is Worth a Thousand Twitter Characters or More

September 8, 2016

The article titled Snapchat Passes Twitter in Daily Usage on Bloomberg Technology provides some insights into the most popular modes of communication. As the title suggests, that mode is not with words. Rather, 150 million people appear to prefer images to language, at least when it comes to engaging with other on social media. The article reveals,

Snapchat has made communicating more of a game by letting people send annotated selfies and short videos. It has allowed people to use its imaging software to swap faces in a photo, transform themselves into puppies, and barf rainbows… Snapchat encourages people to visit the app frequently with features such as the “Snapstreak,” which counts the number of consecutive days they’ve been communicating with their closest friends. Snapchat’s other content, such as news and Live Stories, disappear after 24 hours.

Other Silicon Valley players have taken note of this trend. Facebook recently purchased the company that built Masquerade, an app offering photo-manipulation akin to Snapchat’s. Are words on their way out? The trend of using abbreviations (“abbrevs”) and slang to streamline messaging would logically result in a replacement of language with images, which can say volumes with a single click. But this could also result in a lot of confusion and miscommunication. Words allow for a precision of meaning that images often can’t supply. Hence the crossbreed of a short note scrawled across an image.

Chelsea Kerwin, September 8, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
There is a Louisville, Kentucky Hidden Web/Dark Web meet up on September 27, 2016.
Information is at this link: https://www.meetup.com/Louisville-Hidden-Dark-Web-Meetup/events/233599645/

Social Media Snooping Site Emerges for Landlord and Employers

September 2, 2016

The promise of unlocking the insights in big data is one that many search and analytics companies make. CNet shares the scoop on a new company: Disturbing new site scrapes your private Facebook and informs landlords, employers. Their website is Score Assured and it provides a service as an intermediary between your social media accounts and your landlord. Through scanning every word you have typed on Facebook, Twitter, LinkedIn or even Tinder, this service will then filter all the words through a neuro-linguistic programming tool to provide a report on your reputation. We learned,

There’s no reason to believe that Score Assured’s “analysis” will offer in any way an accurate portrayal of who you are or your financial wherewithal. States across the country are already preparing or enacting legislation to ensure that potential employers have no right to ask for your password to Facebook or other social media. In Washington, for example, it’s illegal for an employer to ask for your password. Score Assured offers landlords and employers (the employer service isn’t live yet) the chance to ask for such passwords slightly more indirectly. Psychologically, the company is preying on a weakness humans have been displaying for some time now: the willingness to give up their privacy to get something they think they really want.

Scraping and finding tools are not new, but could this application be any more 2016? The author of this piece is onto the zeitgeist of “I’ve got nothing to hide.” Consequently, data — even social data — becomes a commodity. Users’ willingness to consent is the sociologically interesting piece here. It remains to be seen whether the data mining technology is anything special.

Megan Feil, September 2, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph

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