The Shallowness of Search Engine Optimization: Just Buy Google Ads for Traffic
January 8, 2021
Google is in the business of selling online advertisements and playing the role of a digital real estate broker for a commission, of course, of course. Therefore, any information about how to get Google traffic for free is only mildly interesting. An entire industry of search engine optimization experts explain how to achieve the impossible: Avoid buying Google online ads. The ploy of SEO leads in one direction only; that is, the SEO professional eventually utters the words, “You need to buy Google advertising.” Free only goes so far like the charges for storage to an unsuspecting user of Gmail learns.
So what do I make of “What We Know About Google’s Passage Indexing”? Not much. The write makes clear the tissue thin thought about traffic tricks. How does one respond to Google’s indexing of paragraphs? Do nothing. How does Google’s indexing for meaning impact authors? Not at all. Why did Google make the announcement? Maybe marketing.
In my opinion, the notion of Google Passages feeds the SEO sector and greases the skids for selling more ads. When the free stuff doesn’t deliver clicks, what’s the fix?
Buy Google ads. SEO experts become a sales force for the GOOG.
Simple in my opinion. A purloined letter tactic which has demonstrated remarkable durability.
Stephen E Arnold, January 8, 2021
Advertising on the Dark Web with Quo
January 1, 2021
Quo, a Dark Web search engine has appeared. According to “Cybercriminals Have Started Indexing the Dark Web”:
QUO is “a dark web, full-text search engine designed to create a continuously updated index of onion pages” in order to provide its users with a way to “explore the dark web quickly and anonymously, without logs, cookies and JavaScript”.
You can locate the service at this link, but keep in mind that Dark Web search engines come and go. The system was up and running on December 28, 2020, when the research team checked our links. You can run queries for the Dark Web go to topics like carding, contraband, and crime as a service. Search results look like this:
What’s interesting is that the service indexes “eight million pages from around 20,000 thousand sites including their URLs, titles, metadata, keywords and headings.” With any Dark Web search engine, the question is, “What percentage of these indexed pages are active?”
You can also advertise on the service. Navigate to this link and get the details.
Stephen E Arnold, January 1, 2021
DarkCyber for December 29, 2020, Is Now Available
December 29, 2020
DarkCyber for December 29, 2020, is now available on YouTube at this link or on the Beyond Search blog at this link. This week’s program includes seven stories. These are:
A Chinese consulting firm publishes a report about the low profile companies indexing the Dark Web. The report is about 114 pages long and does not include Chinese companies engaged in this business.
A Dark Web site easily accessible with a standard Internet browser promises something that DarkCyber finds difficult to believe. The Web site contains what are called “always” links to Dark Web sites; that is, those with Dot Onion addresses.
Some pundits have criticized the FBI and Interpol for their alleged failure to take down Jokerstash. This Dark Web site sells access to “live” credit cards and other financial data. Among those suggesting that the two law enforcement organizations are falling short of the mark are four cyber security firms. DarkCyber explains one reason for this alleged failure.
NSO Group, a specialized services company, has been identified as the company providing technology to “operators” surveilling dozens of Al Jazeera journalists. DarkCyber points out that a commercial firm is not in a position to approve or disapprove the use of its technology by the countries which license the Pegasus platform.
Facebook has escalated its dispute with Apple regarding tracking. Now the social media company has alleged that contractors to the French military are using Facebook in Africa via false accounts. What’s interesting is that Russia is allegedly engaged in a disinformation campaign in Africa as well.
The drone news this week contaisn two DJI items. DJI is one of the world’s largest vendors of consumer and commercial drones. The US government has told DJI that it may no longer sell its drones in the US. DJI products remain available in the US. DJI drones have been equipped with flame throwers to destroy wasp nests. The flame throwing drones appear formidable.
DarkCyber is a twice a month video news program reporting on the Dark Web, lesser known Internet services, and cyber crime. The program is produced by Stephen E Arnold and does not accept advertising or sponsorships.
Kenny Toth, December 29, 2020
4iQ: Smarter and Maybe Profitable with Alto Analytics?
December 23, 2020
The cyber intelligence firm has merged with Alto Analytics. The new outfit will be called Constella Intelligence. The two companies’ technologies will allow organizations to “anticipate and defeat digital risk.” You can read about this tie up in “4iQ and Alto Analytics Merge and Rebrand as Constella Intelligence.” The new firm is in the cyber security business. According to the announcement the company
… will empower organizations and intelligence professionals with comprehensive digital risk protection that covers brand, executive, fraud, geopolitical and identity threats.
One phrase struck me as particularly interesting; specifically:
“Through successful 4iQ Series C funding and the powerful combination of two market-leading organizations, Constella has incredible tools and resources to tackle the fast-evolving security landscape…
The “market leading” adjectival appears to position 4iQ and Alto among the luminaries of cyber intelligence. However, 4iQ’s quirky name and its similarity to other Dark Web and social media indexing tools did not capture the same market buzz as Shadowdragon, for example. Alto Analytics competes in a the crowded data analytics space.
The two entities apparently will join to justify this description:
Constella Intelligence is a leading global Digital Risk Protection business that works in partnership with some of the world’s largest organizations to safeguard what matters most and defeat digital risk. Its solutions are broad, collaborative and scalable, powered by a unique combination of proprietary data, technology and human expertise—including the largest breach data collection on the planet, with over 100 billion attributes and 45 billion curated identity records spanning 125 countries and 53 languages.
The merger is almost coincident with the revelations about the failure of cyber security vendors’ products to detect the SolarWinds breach. More firms will be seeking ways to rebrand, reposition, and reinvigorate their sales of products and services. Will 1 + 1 = 3?
Sure in the marketing department. Those art history majors are optimists.
Stephen E Arnold, December 22, 2020
Amazon Uses Googley Phrase Which Also Was Mostly Marketing Hoo Hah
December 17, 2020
You may not remember, but I do. Like yesterday. I wrote an analysis for the late, highly regarded financial services firm and contract bridge epicenter BearStearns. The document was published more than a decade ago. Two things happened. Google immediately rolled out a special event to announce universal search. I heard that the name morphed into unified search and then federated search among some Googlers. The idea is that a user runs a query and expects the content of which he or she is aware will be in the results. Ho ho ho. The merrie search elves know that even at the mighty Google one must search silos of data. Universal, unified, federated. That’s like a Dark Web vendor posting 1 800 YOU WISH as the customer support number for bogus contraband.
Imagine my surprise when I noted this Amazon post:
Universal, unified, whatever. I find it fascinating how search related terminology comes into vogue and falls out of favor only to return in a weird but actually identifiable Kondratiev waves. Examples include:
- Inference (nifty but there was a search vendor called Inference now essentially forgotten)
- Boolean which several vendors have resurrected after thumbtypers declared the method dead
- indexing now creeping back into favor after metadata and enrichment have not moved the needle for jargon recycling.
Yep, unified. Much better than “federated”, of course. Remember Vivisimo? I sort of do, but IBM repositioned it as some whizzy part of Watson. Is search at AWS or anywhere for that matter what the user expects. Ho ho ho say the merrie search elves. Ho ho ho. That’s a good one.
Stephen E Arnold, December 16, 2020
NLP Survey: Grains of Salt Helpful
November 30, 2020
Curious about the “state” of natural language processing? Surveys dependent on participants who self-recruit or receive a questionnaire as a result of signing up for a newsletter have to be consumed with a grain of salt and bottle of monosodium glutamate. You can get a copy of a survey sponsored by John Snow Labs via this url. This is a Medium content object, so be prepared to provide information of value to certain large organizations.
The principal findings from the survey of 571 respondents include:
- People are spending money for entity recognition and document classification
- Sparc and spaCy are popular
- One third of those responding use an indexing “helper” tool.
Data about budgets are scant. Percentages are not what fuel a sales person’s interest.
For Beyond Search, the single most important finding is that four cloud services do the heavy lifting for those into NLP: AWS, Azure, Google, and IBM. Which cloud service is most popular among the NLP crowd? Give up? The survey says, “Google.”
Not surprisingly cost and complexity are holding back NLP adoption and expansion. And what is John Snow Labs? An NLP outfit. Index term: Marketing.
Stephen E Arnold, November 30, 2020
Fact Checking Backward Through Time
November 26, 2020
Hooray for the truth! Though Business Dateline introduced corrections to online news stories in the mid-1980s, most online indexing services never bother to fix errors. Now, Internet archive the Wayback Machine is addressing this oversight with “Fact Checks and Context for Wayback Machine Pages,” the site announces on its blog. Writer Mark Graham reports:
“Fact checking organizations and origin websites sometimes have information about pages archived in the Wayback Machine. The Internet Archive has started to surface some of these annotations for Wayback Machine users. We are attempting to preserve our digital history but recognize the issues around providing access to false and misleading information coming from different sources. By providing convenient links to contextual information we hope that our patrons will better understand what they are reading in the Wayback Machine. As an example, Politifact has investigated a claim included in a webpage that we archived. Our.news has matched this URL to the Politifact review which allowed us to provide a yellow context banner for Wayback Machine patrons. In a different case, we surfaced the discovery that a webpage is part of a disinformation campaign according to the researchers at Graphika and link to their research report. As a last example, the Internet Archive archived a Medium post that was subsequently removed based on a violation of their Covid-19 Content Policy.”
The post supplies screenshots to illustrate the yellow context banners in each of the above examples. Graham makes it a point to acknowledge the work of several organizations that make it possible for the Wayback Machine to supply this context: FactCheck.org, Check Your Fact, Lead Stories, Politifact, Washington Post Fact-Checker, AP News Fact Check, USA Today Fact Check, Graphika, Stanford Internet Observatory, and Our.news. We are glad to see veracity still matters to many.
Cynthia Murrell, November 25, 2020
BERT: It Lives
November 2, 2020
I wrote about good old BERT before.
I was impressed with the indexing and context cues in BERT. The acronym does not refer to the interesting cartoon character. This BERT is Bidirectional Encoder Representations from Transformers. If you want more information about this approach to making sense of text, just navigate to the somewhat turtle like Stanford University site and retrieve the 35 page PDF.
BERT popped up again in a somewhat unusual search engine optimization context (obviously recognized by Google’s system at least seven percent of the time): “Could Google Passage Indexing Be Leveraging BERT?”
I worked through the write up twice. It was, one might say, somewhat challenging to understand. I think I figured it out:
Google is trying to index the context in which an “answer” to a user’s query resides. Via Google parsing magic, the answer may be presented to the lucky user.
I pulled out several gems from the article which is designed to be converted into manipulations to fool Google’s indexing system. SEO is focused on eroding relevance to make a page appear in a Google search result list whether the content answers the user’s query or not.
The gems:
- BERT does not always mean the ‘BERT’. Ah, ha. A paradox. That’s helpful.
- Former Verity and Yahoo search wizard Prabhakar Raghavan allegedly said: “Today we’re excited to share that BERT is now used in almost every query in English, helping you get higher quality results for your questions.” And what percentage of Google queries is “almost every”? And what percentage of Google queries are in English? Neither the Googler nor the author of the article answer these questions.
- It’s called passage indexing, but not as we know it. The “passage indexing” announcement caused some confusion in the SEO community with several interpreting the change initially as an “indexing” one. Confusion. No kidding?
- And how about this statement about “almost every”? “Whilst only 7% of queries will be impacted in initial roll-out, further expansion of this new passage indexing system could have much bigger connotations than one might first suspect. Without exaggeration, once you begin to explore the literature from the past year in natural language research, you become aware this change, whilst relatively insignificant at first (because it will only impact 7% of queries after all), could have potential to actually change how search ranking works overall going forward.”
That’s about it because the contradictions and fascinating logic of the article have stressed my 76 year old brain’s remaining neurons. The write up concludes with this statement:
Whilst there are currently limitations for BERT in long documents, passages seem an ideal place to start toward a new ‘intent-detection’ led search. This is particularly so, when search engines begin to ‘Augment Knowledge’ from queries and connections to knowledge bases and repositories outside of standard search, and there is much work in this space ongoing currently. But that is for another article.
Plus, there’s a list of references. Oh, did I mention that this essay/article in its baffling wonderfulness is only 15,000 words long. Another article? Super.
Stephen E Arnold, November 2, 2020
Tactical AI: Research for the 21st Century
October 23, 2020
The company is Tactical Analysis Intelligence. The acronym is Tactical AI. The url is tactical-ai.com. Clever. Indexing systems will glom on the “ai” and the name suggests advanced technologies. The company’s business is, according to its Web site:
a premier boutique information search provider of numerous public and non-public internet sources. Our proprietary deep search system and monitoring service has a proven track record of providing businesses with the data they need to make informed, critical business decisions.
The company performs “deep Web search.” The idea is that when you search via Bing, Google, or Swisscow, you are doing shallow search. The company also delivers Dark Web breach monitoring. The idea is that the increasingly small Dark Web requires specialized skills.
I learned about this company via a link to its “white paper” or article called “Going Undercover for Your Company on the Dark Web? Read This First.” The article provides some information which leads some readers to the conclusion that Dark Web research requires an expert. That’s where Tactical Analysis Intelligence enters. The company’s article by the same name is a link to a Department of Justice document. That’s okay, just a surprise.
After scanning the company’s Web site, some librarians before the Great Disintermediation decimated their ranks should have had Tactical’s marketing know how.
Keep in mind that:
- Forums, discussion groups, and digital watering holes are no longer confined to the Dark Web
- The “regular” Web houses a surprising amount of information, including facts about companies which do classified work and do their level best to remain invisible; for example, ATA in Albuquerque, NM.
- Chat tools like WhatsApp, Telegram, and others have become alternatives now that the Dark Web is getting tinier.
What services provide access to threat intelligence from these sources? That’s a good question.
The experts in cyber open source intelligence might be able to help. Is it possible the author of CyberOSINT could offer some guidance? No, doubtful.
Stephen E Arnold, October 23, 2020
Text Analytics: Are These Really the Companies to Watch in the Next 12 Weeks?
October 16, 2020
DarkCyber spotted “Top 10 Text Analytics Companies to Watch in 2020.” Let’s take a quick look at some basic details about each firm:
Alkymi, founded in 2017, makes an email indexing system. The system, according to the company’s Web site, “understands documents using deep learning and visual analysis paired with your human in-the-loop expertise.” Interesting but text analytics appears to be a component of a much larger system. What’s interesting is that the business relies in some degree upon Amazon Web Services. The company’s Web site is https://alkymi.io/.
Aylien Ltd., based in Ireland, appears to be a company with text analysis technology. However, the company’s system is used to create intelligence reports for analysts; for example, government intelligence officers, business analysts, and media outlets. Founded in 2010, the company’s Web site is https://aylien.com.
Hewlett Packard Enterprise. The inclusion of HPE was a bit of a surprise. This outfit once owned the Autonomy technology, but divested itself of the software and services. To replace Autonomy, the company developed “Advanced Text Analysis” which appears to be an enterprise search centric system. The service is available as a Microsoft Azure function and offers 60 APIs (which seems particularly generous) “that deliver deep learning analytics on a wide range of data.” The company’s Web site is https://www.hpe.com/in/en/home.html. One product name jumped out: Ezmeral which maybe a made up word.
InData Labs lists data science, AI, AI driven mobile app development, computer vision, machine learning, data capture and optical character recognition, and big data solutions as its services. Its products include face recognition and natural language processing. Perhaps it is the NLP product which equates to text analytics? The firm’s Web site is https://indatalabs.com/ The company was founded in 2014 and operates from Belarus and has a San Francisco presence.
Kapiche, founded in 2016, focuses on “customer insights”. Customer feedback yields insight with “no set up, no manual coding, and results you can trust,” according to the company. The text analytics snaps into services like Survey Monkey and Google Forms, among others. Clients include Target and Toyota. The company is based in Australia with an office in Denver, Colorado. The firm’s Web site is https://www.kapiche.com. The firm offers applied text analytics.
Lexalytics, founded in 2003, was one of the first standalone text analytics vendors. The company’s system allows customers to “tell powerful stories from complex text data.” DarkCyber prefers to learn “stories” from the data, however. In the last 17 years, the company has not gone public nor been acquired. The firm’s Web site is https://www.lexalytics.com/.
MindGap. The MindGap identified in the article is in the business of providing “AI for business.” the company appears to be a mash up of artificial intelligence and “top tier strategy consulting:. That may be true, but we did not spot text analytics among the core competencies. The firm’s clients include Mail.ru, Gazprom, Yandex, and Huawei. The firm’s Web site is https://www.mindgap.dev/. The firm lists two employees on LinkedIn.
Primer has ingested about $60 million in venture funding since it was founded in 2015. The company ingests text and outputs reports. The company was founded by the individual who set up Quid, another analytics company. Government and business analysts consume the outputs of the Primer system. The company’s Web site is https://primer.ai.
Semeon Analytics, now a unit of Datametrex, provides “custom language and sentiment ontology” services. Indexing and entity extraction, among other NLP modules, allows the system to deliver “insight analysis, rapid insights, and sentiment of the highest precision on the market today.” The Semeon Web site is still online at https://semeon.com.
ThoughtTrace appears to focus on analysis of text in contracts. The firm’s Web site says that its software can “find critical contract facts and opportunities.” Text analytics? Possibly, but the wording suggests search and retrieval. The company has a focus on oil and gas and other verticals. The firm’s Web site is https://www.thoughttrace.com/. (Note that the design of the Web site creates some challenges for a person looking for information.) The company, according to Crunchbase, was founded in 1999, and has three employees.
Three companies are what DarkCyber would consider text analytics firms: Aylien, Lexalytics, and Primer. The other firms mash up artificial intelligence, machine learning, and text analytics to deliver solutions which are essentially indexing and workflow tools.
Other observations include:
- The list is not a reliable place to locate flagship vendors; specifically, only three of the 10 companies cited in the article could be considered contenders in this sector.
- The text analytics capabilities and applications are scattered. A person looking for a system which is designed to handle email would have to examine the 10 listings and work from a single pointer, Alkymi.
- The selection of vendors confuses technical disciplines; for example, AI, machine learning, NLP, etc.
The list appears to have been generated in a short Zoom meeting, not via a rigorous selection and analysis process. Perhaps one of the vendors’ text analytics systems could have been used. Primer’s system comes to mind as one possibility. But that, of course, is work for a real journalist today.
Stephen E Arnold, October 16, 2020
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