Social Media Helps Trolls Roll
July 9, 2020
Even social-media researcher Jeanna Matthews has to be vigilant to keep from being fooled, we learn from her article in Fast Company, “Bots and Trolls Control a Shocking Amount of Online Conversation.” Armies of hackers maliciously swaying public opinion through social media have only grown larger, and their methods more sophisticated, since they started making news in 2016. These bad actors game the algorithms that decide which posts to circulate heavily, choices based largely on which ones get the most reactions (“likes,” “votes,” sad/ laughing/ angry faces, etc.) It has been shown, however, that lies spread faster than truths. Any middle-school girl could have told us that. Mattews writes:
“But who is doing this ‘voting’? Often it’s an army of accounts, called bots, that do not correspond to real people. In fact, they’re controlled by hackers, often on the other side of the world. For example, researchers have reported that more than half of the Twitter accounts discussing COVID-19 are bots. As a social media researcher, I’ve seen thousands of accounts with the same profile picture ‘like’ posts in unison. I’ve seen accounts post hundreds of times per day, far more than a human being could. I’ve seen an account claiming to be an ‘All-American patriotic army wife’ from Florida post obsessively about immigrants in English, but whose account history showed it used to post in Ukranian. Fake accounts like this are called ‘sock puppets’—suggesting a hidden hand speaking through another identity. In many cases, this deception can easily be revealed with a look at the account history. But in some cases, there is a big investment in making sock puppet accounts seem real.”
One example is the much-followed Jenna Abrams Twitter account that turned out to be run by Russian trolls. These imposters’ have their favorite subjects—Covid-19 and Black Lives Matter are two examples—but their goals go beyond the issues. They practice to divide and conquer: sowing mistrust, pitting us against each other, and building a society in which objective truth no longer matters. Social media platforms, which (sadly) profit from the spread of misinformation, have been slow to act against these manipulators. They often brandish the freedom of speech argument to defend their inaction.
Matthews suggests some ways to protect ourselves from being swayed by these deceivers. We can use social media sparingly, and when we do visit, be more deliberate—navigate to particular pages instead of just consuming the default feed. We can also pressure platforms to delete accounts with sure signs of automation, provide more controls over what crosses our feed, and provide more transparency about how choices are made and who is placing ads. Some may want to contact legislators to demand regulation. Finally, we must take it all with a grain of salt. We know the trolls are out there, and we know how active they are. Do not fall for their tricks.
Cynthia Murrell, July 9, 2020
Do It Huiwei, Please
July 9, 2020
Believe it or not.
Huawei is a mobile device brand not well known in the United States, but it provides an Android based device to millions of consumers in the eastern hemisphere. Huawai devices are manufactured in China and in May the company held its seventeenth annual analyst summit. Ameyaw Debrah shares the story in the article, “Huawei Analyst Summit: Security And Privacy In A Seamless AI Life-Only You Control Your Personal Data.”
The Vice President of Consumer Cloud Services Eric Tan delivered the keynote speech called “Rethink the Seamless AI Experience with the Global HMS Ecosystem” related to Huawei’s privacy and security related to the cloud, hardware, application development, and global certifications. Tan stated that Huawei abides by GDPR, GAPP, and local laws to guarantee privacy compliance.
Another speaker, Dr. Wang Chenglu spoke about “Software-Powered, Seamless AI Experiences and Ecosystems.” He stated how distributed security builds trust between people, data, and devices to protect user privacy and data:
“He explained that firstly, ensure that users are using the correct devices to process data and Huawei has developed a comprehensive security and privacy management system that covers smart phone chips, kernels, EMUI, and applications. This allows devices to establish trusted connections and transfer data based on end-to-end encryption.
Secondly, ensure the right people are accessing data and operating services via the distributed security architecture which makes coordinated, multi-device authentication possible. An authentication capability resource pool is established by combining the hardware capabilities of different devices. The system provides the best security authentication measures based on authentication requests and security level requirements in different business scenarios.”
Huawei stressed that privacy and security are its MO, but can one believe that “only you control your private life” when. a country-supported company is coding up a storm?”
Whitney Grace, July 9, 2020
YouTube Deletes Raw Videos of Aged Electronics Repair
July 9, 2020
A loyal fan of DarkCyber sent me a link to a video called “Youtube DELETED Jordan Pier’s Electronics Repair Channel!” For those hip to the zippity dippity world of Silicon Valley and Googley decisions, the decision makes perfect and logical sense.
Jordan Pier and his disgusting old electronics represent the past which must be removed. I think of vintage electronics in the same terms I frame statues of people whose names I don’t know.
Imagine. Rip open a wooden box. Expose disgusting and old fashioned capacitors. Wires have fabric on them some time. Bare wires should be sealed in epoxy so an independent repair person can just watch YouTube videos, not make them.
DarkCyber understands that digital and unrepairable electronics are the future. What if your beloved smart Pixel phone goes to the digital grave yard. Throw it out. Don’t even think about repairing that device or your MacBook Air or your friend’s father’s John Deere tractor.
Take those offensive repair videos down. Snuff out information about the past. Stalin would be proud. Naked electronics require revisionist action.
Stephen E Arnold, July 8, 2020
Humans Still Needed Despite Young Wizards’ Best Efforts and Confidence
July 9, 2020
It was already true, though many failed to realize it—a company cannot effectively market by AI alone. The Next Web observes, “We Can’t Build Customer Strategies Solely on Algorithms—and the Pandemic Proves it.” Writer Andy MacMillan opens by relating a Covid-era marketing faux pas: a Facebook clothing ad featured Ipanema Beach crowded with young people cavorting, with nary a care in the world. The tagline was “Unique vision of effortless lifestyle.” Oof! During the lockdown, the beach actually looks more like this. That algorithm had not gotten the memo.
“For the last decade, businesses have embraced a belief that ‘the data will tell us what to do.’ But guess what? Data models don’t even exist to properly capture the extent to which the pandemic has altered customers’ emotional landscape. Don’t get me wrong. Analyzing clicks, email response rates, behavioral actions, etc. indeed can be helpful, combing through more information than a human ever could to identify and target customers and provide clues on ways to optimize the buying experience. But even in normal times, an overly data-driven approach leaves out too many nuances around customer experience and often leaves big blind spots that can hurt the business. Now, as COVID-19 heightens consumers’ sensitivities both positively and negatively, these human insights matter more than ever. Businesses that fill a need or show that they care about the safety and well-being of their customers and workers see their brands soar. (Companies like Zoom and Instacart have become virtual heroes, literally.) Those that appear to be taking advantage of the crisis, give customers runarounds, or simply fail to communicate clearly, concisely, and helpfully suffer perhaps irreparable damage.”
And that is why businesses still need human discernment as well as person-to-person discussions with customers. Doing modern business during a pandemic is new to everyone, so there is no appropriate data on which to train AI. It takes human sensitivity to ask the right questions and determine appropriate responses to feedback. Even when and if the world returns to normal, companies would do well to remember this lesson.
Cynthia Murrell, July 9, 2020
The Myth of Data Federation: Not a New Problem, Not One Easily Solved
July 8, 2020
I read “A Plan to Make Police Data Open Source Started on Reddit.” The main point of this particular article is:
The Police Data Accessibility Project aims to request, download, clean, and standardize public records that right now are overly difficult to find.
Interesting, but I interpreted the Silicon Valley centric write up differently. If you are a marketer of systems which purport to normalize disparate types of data, aggregate them, federate indexes, and make the data accessible, analyzable, retrievable, and bang on dead simple — stop reading now. I don’t want to deal with squeals from vendors about their superior systems.
For the individual reading this sentence, a word of advice. Fasten your seat belt.
Some points to consider when reading the article cited above, listening to a Vimeo “insider” sales pitch, or just doing techno babble with your Spin class pals:
- Dealing with disparate data requires time and money as well as NOT ONE but multiple software tools.
- Even with a well resourced and technologically adept staff, exceptions require attention. A failure to deal with the stuff in the Exceptions folder can skew the outputs of some Fancy Dan analytic systems. Example: How about that Detroit facial recognition system? Nifty, eh?
- The flows of real time data are a big problem — are you ready for this — a challenge to the Facebooks, Googles, and Microsofts of the world. The reason is that the volume of data and CHANGES TO THOSE ALREADY PROCESSED ITEMS OF INFORMATION is a very, very tough problem. No, faster processors, bigger pipes, and zippy SSDs won’t do the job. The trouble lies within, the intradevice and intra software module flow. The fix is to sample, and sampling increases the risk of inaccuracies. Example: Remember Detroit’s facial recognition accuracy. The arrested individual may share some impressions with you.
- The baloney about “all” data or “any” type is crazy talk. When one deals with more than 18,000 police forces in the US, outputs from surveillance devices from different vendors, and the geodumps of individuals and their ad tracking beacons — this is going to be mashed up and made usable. Noble idea. There are many noble ideas.
Why am I taking the time to repeat what anyone with experience in large scale data normalization and analysis knows?
Baloney can be thinly sliced, smeared with gochujang, and served on Delft plates. Know what? Still baloney.
Gobble this:
Still, data is an important piece of understanding what law enforcement looks like in the US now, and what it could look like in the future. And making that information more accessible, and the stories people tell about policing more transparent, is a first step.
But the killer assumption is that the humans involved don’t make errors, systems remain online, and file formats are forever.
That baloney. It really is incredible. Just not what you think.
Stephen E Arnold, July 8, 2020
NLP with an SEO Spin
July 8, 2020
If you want to know how search engine optimization has kicked librarians and professional indexers in the knee and stomped on their writing hand, you will enjoy “Classifying 200,000 Articles in 7 Hours Using NLP” makes clear that human indexers are going to become the lamp lighters of the 21st century. Imagine. No libraries, no subject matter experts curating and indexing content, no human judgment. Nifty. Perfect for a post Quibi world.
The write up explains the indexing methods of one type of smart software. The passages below highlights the main features of the method:
Weak supervision: the human annotator explains their chosen label to the AI model by highlighting the key phrases in the example that helped them make the decision. These highlights are then used to automatically generate nuanced rules, which are combined and used to augment the training dataset and boost the model’s quality.
Uncertainty sampling: it finds those examples for which the model is most uncertain, and suggests them for human review.
Diversity sampling: it helps make sure that the dataset covers as diverse a set of data as possible. This ensures the model learns to handle all of the real-world cases.Guided learning: it allows you to search through your dataset for key examples. This is particularly useful when the original dataset is very imbalanced (it contains very few examples of the category you care about).
These phrases may not be clear. May I elucidate:
- Weak supervision. Subject matter experts riding herd. No way. Inefficient and not optimizable.
- Uncertainty sampling means a “fudge factor” or “fuzzifying.” A metaphor might be “close enough for horse shoes.”
- Guided learning. Yep, manual assembly of training data, recalibration, and more training until the horse shoe thing scores a point.
The write up undermines its good qualities with a reference to Google. Has anyone noticed that Google’s first page of results for most of my queries are advertisements.
NLP and horse shoes. Perfect match. Why are the index and classification codes those which an educated person would find understandable and at hand? Forget answering this question. Just remember good enough and close enough for horse shoes. Clang and kha-ching as another ad sucks in a bidder.
Stephen E Arnold, July 8, 2020
Scam Ads: Easy to Do Apparently
July 8, 2020
A somewhat shocking assertion appears in “Easy for Fraudsters to Post Scam Ads on Facebook and Google.” The article reports that researchers posted fake ads on Google:
They found that Google did review the adverts submitted, but failed to verify whether the business was real and did not ask for ID. In under an hour, the adverts were approved by the search engine firm for both dummy businesses, gaining almost 100,000 impressions over the space of a month. The fake advert for Natural Hydration was displayed above the official NHS Scotland pages when users searched for “hydration advice”.
A Facebook ad was given similar treatment:
using a personal Facebook account, Which? created a business page on the social network for Natural Hydration and produced a range of posts with pseudo health advice to promote it. A paid promotion of the page gained some 500 likes in the space of a week. Facebook responded to the investigation saying the page set up by Which? does not violate its community standards and is not currently selling products.
Are these data accurate? Regulatory authorities seem to lack tools to influence the large online advertising monopolies.
Stephen E Arnold, July 8, 2020
Secrets of Popular YouTube Videos Revealed. Are You Excited!
July 8, 2020
We found “Analysis of YouTube Trending Videos of 2019 (US)” amusing. Here are several of the chucklers we spotted:
First, hot YouTube videos use CAPITAL letter in TITLES.
Second, here are the words you need to use in your YouTube titles and descriptions:
Third, use emojis. The fire emoji is a “hot” addition.
Fourth, rely on “official” as in “official video.” What if the video is not official? Hey, what is this a courtroom. You just need to pass Judge Google, and you are good to go with rehab ads, wonky food info, and nifty fashion ideas.
Fifth, your video title must be 36 to 64 characters. Something like “Macbeth” would suck as a YouTube click magnet.
Sixth, when do you publish your video? Saturday is for losers, gentle reader.
There’s more astounding insights. You are officially ON YOUR OWN.
Stephen E Arnold, July 8, 2020
High Schoolers: The Cafeteria Jibes Continue
July 7, 2020
I read “What’s Really Behind Tech Versus Journalism?” The write up’s goal is to explain that the Silicon Valley crowd is not happy with “real” journalists.
The article asserts:
Let me start with a brief recounting of events — and acknowledge that I played a role in some of them.
Okay, an autobiographical account of the origin of the high school cafeteria spat. The combatants are the whiz kids in Science Club. This is the organization which may have served as the inspiration for the film “Revenge of the Nerds.”
At the other table in the lunch room are the writers, the wordsmiths able to melt the hearts of English teachers and inflame the school’s administration with poems, pamphlets, and pulsing pellets of prose.
Now the two factions are grown up. The science club crowd wants to do what it wants. That’s the move fast, break stuff group informed by its interpretation of the smartest people in the room.
The pulsing pellets of prose group wants to right wrongs. That’s the we know better than you faction. Those required readings provide the tinder for burning outrage.
As adults, the members of these groups no longer skirmish in the close confines of an 18 minute lunch break for hyper active teenyboppers. The battle is on a bigger stage. The science club members have done bad things. The pellets of prose crowd becomes the target for the anger of the whiz kids. Confusion and chaos ensue. After 20 years of doing whatever, the science club folks want their status quo to remain, well, static.
The prose pellet pals want the wrongs of the science club fixed and fast. I can hear the taunts grinding in the background.
The write up reports:
Workers still face significant obstacles as they lobby to create more fair and equitable workplaces.
The notion of “workplaces” seems quaint, almost old-fashioned. That’s just one of the oddities in the write up. Add that pre-Covid stance to the autobiographical spin.
The administrators get involved. And who may these respected individuals be? Venture capitalists, the skin in the game crowd, the MBA torpedoes blasting their way through mere social norms:
Certainly, the worlds of tech and venture capital have complaints about journalism that go beyond hit pieces. … The exasperation is real, even if the scrutiny is a natural consequence of starting a company that aims to change the world.
Let’s step back.
I have used the phrase “high school science club management methods” to describe the approach to governance evidenced among some of the high-tech, high-performance companies. The HSSCMM — which one upscale, bug buck “real” journalist did not understand when I explained the concept — is one way to approach decisions which have unintended consequences; for example, Facebook and its dealings with those involved in the Cambridge Analytica matter. As I recall, exactly zero changed at Facebook. Also, there’s innovation starved companies like Google buying an obscure maker of semi functional Google Glass devices. I can almost hear the inner voices of Googlers whispering, “We are behind, we are behind. Buy the company, buy the company.” Will this deal be a Dodgeball II reprise.
The “real” journalists, for their part are wordsmiths. The idea the pen is mightier than the checkbook lives on.
The dispute is one more example of how one faction of high school achievers responds to another faction. The issues require more than jibes, knee jerk reactions, and “I told you” so’s.
That’s one of the consequences of allowing a particular mind set make decisions because of this rationale: “We can just do it. So there.”
Both the technology wizards from the science club and the wordsmiths from the writing club see themselves as informed individuals. Both in their view are “right,” which is a nebulous concept in a relativistic world of dynamic data.
The problem from my point of view is that these views emerged fully formed from a 15-year-old brains, were refined by conversations with fellow travelers, and encouraged by those who could make money from these young achievers.
After decades of ministrations by nurturing venture capitalists, what have we got? A food fight, but is a food fight is not what’s needed to address significant issues about governance, ethical behavior, and professional conduct.
Net net: Watch out. That angry teen just threw a Twinkie at the principal.
Stephen E Arnold, July 7, 2020
Google: Thwarting Nation States Is Getting Easier
July 7, 2020
“Europe’s Failure to Tame Google Is a Lesson for the US” makes an interesting point:
Two years after a record fine and an order to give Europeans more choice, Alphabet Inc.’s Google retains a vice-like grip on this business. In May 2018, just before the European Commission acted, Google had 97% of the mobile search market in the region, according to StatCounter. Its share for May this year was even higher.
If accurate, it means that punishing the US online ad giant increased its market control.
What’s the secret to Google’s success in converting a disaster into a benefit:
The EU ordered Google to stop bundling its search and browser apps with Android. Google reacted by charging phone manufacturers to license Android. It also opted to appease regulators by offering choice to users — but only on new Android phones from March 1 and only via a “choice screen” of three alternative search apps shown once when people switch on the handsets for the first time.
Google out played the regulators.
Regulators deal by looking backwards. Google operates by looking forward. The result is that the EU and others who want to trim the sails of the monopoly are in a vulnerable position. Google changes tactics, and the regulators are slow or unable to respond. In the meantime, Google continues to control the market for search.
Regulators know they are failing. The article includes this information:
Margrethe Vestager, the EU’s top antitrust official, has voiced frustration about her inability to increase competition in tech markets. During a recent webinar, she blamed the pandemic for the initial poor results of the choice screen remedy, saying “very few Android phones have been shipped due to the Covid crisis.”
Net net: Who is in control? Government officials or US technology companies?
Stephen E Arnold, July 7, 2020
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