Google’s plan to block certain ads in Chrome is making ad executives nervous and fueling conspiracy talk | Business Insider

Google’s plan to block certain ads in Chrome is making ad executives nervous and fueling conspiracy talk; Mike Shields; In Business Insider; 2017-10-27.

tl;dr → Google’s Coalition for Better Ads is non-transparent. Many have FUD.

Mentions

  • Google
  • Parsec
    • runs proscribed ads
    • will have to abandon that practice
  • Interactive Advertising Bureau (IAB)
    honorific: <quote>the leading digital-ad trade group</quote>
  • Venable,
    Venable is a purveyor of legal services to the trades.

Proscribed

The Better Ads Standards
  1. auto-play video with sound
  2. mobile full screen rollover (takeover), statement
  3. ten other types, not enumerated
    (there are twelve proscribed creative types)

Administrator

Venable

Membership

two tiers (three tiers)
  1. Google
  2. Tier 1, dues required.
  3. Tier 2, dues required.

Members

  • “dozens of members”
  • Exemplars
    (dropping some names that you are expected to recognize)

    • Google,
    • IAB,
    • GroupM,
    • Procter & Gamble,
    • Thompson Reuters.

Quoted

For color, background & verisimilitude…

  • Anonymous, spox, Google
  • Marc Guldimann, CEO, Parsec
    is against it.
  • Harry Kargman, CEO, Kargo,
    Kargo is in media arbitrage & agency work,
    is against it.
  • Gefen Lamdan, senior vice president, Celtra.
    Celtra is an agency,
    is against it.
  • Ari Lewine, co-founder, chief strategy officer, Triplelift.
    is against it; was vague, mentioned Facebook, Google.
  • Brendan McCormick, spox, Venable
  • Jim Spanfeller
    • honorific: an industry veteran,
    • ex-GM Forbes.com, attributed as “who once ran”
    • founder The Daily Meal, (a blog)
  • Troy Young, president digital, Hearst Media.
    like it; opines Google’s viewpoint on Google’s media.

Referenced

Previously

In Business Insider

Network Information API | W3C

Network Information API; W3C; 2017-10-02.

Editors

Interface

The NavigatorNetworkInformation Interface

[NoInterfaceObject, Exposed=(Window,Worker)]
interface NavigatorNetworkInformation {
  readonly attribute NetworkInformation connection;
};
Navigator implements NavigatorNetworkInformation;
WorkerNavigator implements NavigatorNetworkInformation;

The NetworkInformation Interface

[Exposed=(Window,Worker)]
interface NetworkInformation : EventTarget {
  readonly attribute ConnectionType type;
  readonly attribute EffectiveConnectionType effectiveType;
  readonly attribute Megabit downlinkMax;
  readonly attribute Megabit downlink;
  readonly attribute Millisecond rtt;
  readonly attribute boolean saveData;
  attribute EventHandler onchange;
};
typedef unrestricted double Megabit;
typedef unsigned long long Millisecond;

Understanding Emerging Threats to Online Advertising | Budak, Goel, Rao, Zervas

Ceren Budak (Michigan), Sharad Goel (Stanford), Justin Rao (Microsoft), Georgios Zervas (Boston); Understanding Emerging Threats to Online Advertising; Research Paper No. 2505643, School of Management, Boston University; doi:10.1145/2940716.2940787, ssrn:2505643; 265 pages; 2014-10-06 → 2016-06-29.

tl;dr → There is peril to display advertising systems, which are mid-sized linkbaitists and newspapers. Paywalls are indicated.

Abstract

Two recent disruptions to the online advertising market are the widespread use of ad-blocking software and proposed restrictions on third-party tracking, trends that are driven largely by consumer concerns over privacy. Both primarily impact display advertising (as opposed to search and native social ads), and affect how retailers reach customers and how content producers earn revenue. It is, however, unclear what the consequences of these trends are. We investigate using anonymized web browsing histories of 14 million individuals, focusing on “retail sessions” in which users visit online sites that sell goods and services. We find that only 3% of retail sessions are initiated by display ads, a figure that is robust to permissive attribution rules and consistent across widely varying market segments. We further estimate the full distribution of how retail sessions are initiated, and find that search advertising is three times more important than display advertising to retailers, and search advertising is itself roughly three times less important than organic web search. Moving to content providers, we find that display ads are shown by 12% of websites, accounting for 32% of their page views; this reliance is concentrated in online publishing (e.g., news outlets) where the rate is 91%. While most consumption is either in the long-tail of websites that do not show ads, or sites like Facebook that show native, first-party ads, moderately sized web publishers account for a substantial fraction of consumption, and we argue that they will be most affected by changes in the display advertising market. Finally, we use estimates of ad rates to judge the feasibility of replacing lost ad revenue with a freemium or donation-based model.

How the Frightful Five Put Start-Ups in a Lose-Lose Situation | NYT

How the Frightful Five Put Start-Ups in a Lose-Lose Situation; Farhad Manjoo; In The New York Times (NYT); 2017-10-18.
Teaser: The tech giants are too big. But so what? Hasn’t that always been the case?

tl;dr → Betterid’ge’s Law.  No. ]this time it’s different]
and → Problematizing the space, a jeremiad.
bad → Amazon, Apple, Google, Facebook, Microsoft. branded as “The Frightful Five”

Mentions

  • Frightful Five = Amazon, Apple, Google, Facebook, Microsoft.
    Manjoo’s epithet for the circumscribed scope of these oped pieces ref
  • #sturtups
  • IBM
  • WhatsApp
  • Snapchat
  • Facebppl
  • Snapchat Stproes
  • Instagram
  • IAC
    • Origin
      • Barry Diller [Barry Diller's money]
    • Properties
      • Expedia
      • Match.com
      • Tinder
      • Ask.com
      • Vimeo
      • Angi Homeservices, = Angie’s List + HomeAdvisor.

Who

  • Dara Khosrowshahi, ex-CEO, Expedia.
  • Joey Levin,, chief executive, Uber; ex-chief executive of IAC.
  • Chris Terrill, chief executive, Angi Homeservices.

Pantheon

  • Clayton Christiansen, boffo.
  • Barry Diller, boffo; media tycoon, television.
  • Joseph Shumpeter, boffo.

Referenced

Previously

In archaeological order, in The New York Times (NYT)…

How Smartphones Hijack Our Minds | WSJ

How Smartphones Hijack Our Minds; Nicholas Carr; In The Wall Street Journal (WSJ); 2017-10-06 (paywalled).
Teaser: Research suggests that as the brain grows dependent on phone technology, the intellect weakens

tl;dr → <quote>[people] aren’t very good at distinguishing the knowledge we keep in our heads from the information we find on our phones or computers. </quote>

Books

  • The Shallows: What the Internet Is Doing to Our Brains, W. W. Norton, 2011-06-08, 404 pages, ASIN:0393339750: Kindle: $9, paper: $10+SHT.
  • Utopia Is Creepy, and Other Provocations, W. W. Norton; 2016-09-06, 384 pages, ASIN:0393254542: kindle: 10, paper: $8+SHT.
  • and [many] other books
    …in the boosterist and anthologized thinkpiece longread blogpost genres e.g.

    • The Glass Cage: How Our Computers Are Changing Us, W. W. Norton, 2015-09-08, 288 pages, ASIN:0393351637: Kindle: $9, paper: $6+SHT.
    • IT Matter? Information Technology and the Corrosion of Competitive Advantage, Harvard Business Review Press, 2004-04, 208 pages, ASIN:1591394449, Kindle: $20, paper: $0.01+SHT.

 

Mentions

  • “available cognitive capacity”
  • “fluid intelligence”
  • “brain drain” (a technical term, attributed to Ward et al.)
  • “supernormal stimulus”
  • “data is memory without history”, attributed to Cynthia Ozick.
  • the “Google effect,” strictly, pertains to information retrieval.

Exemplars

…they are bad…
  • Apple, iPhone
  • Facebook
  • Google
  • Samsung [Android]

Who

  • Maarten Bos, staff, Disney.
  • Kristen Duke, staff, University of California, San Diego (UCSD).
  • Ayelet Gneezy, staff, University of California, San Diego (UCSD).
  • William James, boffo, quoted circa 1892.
    Expertise: psychology, philosophy.
    Honorific: pioneering .
  • Cynthia Ozick, self.
    Trade: scrivener, dissent.
  • Betsy Sparrow, staff, Columbia University.
    Expertise: psychology.
  • Adrian Ward, professor, marketing professor, University of Texas at Austin (UTA)
    Expertise: psychology, cognitive psychology
  • Daniel Wegner, Harvard.
    deceased.
    Expertise: memory

Referenced

  • Many Unlock Events Per Day; video segment; ABC News; WHEN?.
    …Where more Americans get their news than from any other source [grammar police be damned!]
  • Some Survey, Gallup, 2015.
    tl;dr → <quote>Over 50% “can’t image” life without a cellphone.</quote>
  • Adrian Ward, et al. A Study. That. Shows. In Journal of Experimental Psychology. 2015. pubmed:26121498
  • Some Authors. Another Study. That. Shows. In Journal of Computer-Mediated Communication, 2015.
  • Adrian Ward (U.T. Austin), Kristen Duke, Ayelet Gneezy (UCSD), Maarten Bos (Disney). Study. That. Shows. 2015.
  • Adrian Ward (UTA) et al.More Study. That. Shows. In Journal of the Association for Consumer Research. 2017-04. preprint. DOI:10.1086/691462.
  • Some Authors (University of Southern Maine). Another Study. That. Shows. In Social Psychology. psycnet:2014-52302-001
  • More Authors. Yet Another Study. That. Shows. In Applied Cognitive Psychology. 2017-04. another study. DOI:10.1002/acp.3323.
    tl;dr → N=160 & WEIRD (students) at the University of Arkansas at Monticello.
  • Even More Authors. Even More Study. That. Shows. In Labour Economics; 2016.
  • More Authors. More Study. That Shows. In Journal of Social and Personal Relationships. 2013. paywall. DOI:10.1177/0265407512453827.
    tl;dr → N=192, WIERD (students), University of Essex in the U.K.
  • Betsy Sparrow (Columbia), Daniel Wegner (Harvard), et al. Authors. Yet Another Study. That. Shows. In Science (Magazine). 2011. paywall.
  • The Internet has become the external hard drive for our memories; Staff; In Scientific American; WHEN?

Previously

In The Wall Street Journal (WSJ)…

Partnership on AI

Partnership on AI
Uses Responsive Web Design (RWD) so it only “works” on a handset form factor is “mobile first” [scrape-scroll down, which is non-obvious in the officework environment]

Promoters

Line 1
  • Amazon
  • Apple
Line 2
  • DeepMind, of Google
  • Google, of Alphabet (GOOG)
Line 3
  • Facebook
  • IBM
  • Microsoft

Separately noted.

Exploring ADINT: Using Ad Targeting for Surveillance on a Budget — or — How Alice Can Buy Ads to Track Bob | Vines, Roesner, Kohno

Paul Vines, Franziska Roesner, Tadayoshi Kohno; Exploring ADINT: Using Ad Targeting for Surveillance on a Budget — or — How Alice Can Buy Ads to Track Bob; In Proceedings of the 16th ACM Workshop on Privacy in the Electronic Society (WPES 2017); 2017-10-30; 11 pages; outreach.

ahem → <ahem>it’s an implications performance.</ahem>
tl;dr → Tadayoshi et al. are virtuosos at these performance art happenings. Catchy hook, cool marketing name (ADINT) and press outreach frontrunning the actual conference venue. For the wuffie and the lulz. Nice demo tho.
and → They bought geofence campaigns in a grid. They used close-the-loop analytics to identify the sojourn trail of the target.
and → Er… don’t use Grindr.

Abstract

The online advertising ecosystem is built upon the ability of advertising networks to know properties about users (e.g., their interests or physical locations) and deliver targeted ads based on those properties. Much of the privacy debate around online advertising has focused on the harvesting of these properties by the advertising networks. In this work, we explore the following question: can third-parties use the purchasing of ads to extract private information about individuals? We find that the answer is yes. For example, in a case study with an archetypal advertising network, we find that — for $1000 USD — we can track the location of individuals who are using apps served by that advertising network, as well as infer whether they are using potentially sensitive applications (e.g., certain religious or sexuality-related apps). We also conduct a broad survey of other ad networks and assess their risks to similar attacks. We then step back and explore the implications of our findings.

Promotions

Separately noted.

The Evolving Data Landscape: Veracity, Convergence And Anonymity | Ad Exchanger

Ramsey McGrory (Mediaocean); The Evolving Data Landscape: Veracity, Convergence And Anonymity; In AdExchanger; 2017-09-21.
Ramsey McGrory, chief revenue officer at Mediaocean

tl;dr → something about accuracy of imputations in consumer profiles, accuracy of “data.”

Original Sources

Ramsey McGrory (AddThis); The Data Providers One Quadrant Chart To Rule Them All; 2013-02.
tl;dr → it’s a metaphor with four (4) quadrants induced by a 2-axis “system”; later a 3rd access, a Z-axis

  1. online ↔ offline
  2. anonymous → personal
  3. singleton → conglomerate

Mentions

  • <quote>data being neither intrinsically “good” nor “bad,” but rather having “qualities.”<quote>, attributed to Ted McConnell.
  • behaviors, drive actions.
  • Viewability
  • Verification
  • Something allegorical about Viewability and Trust & Safety vending as a separable service of attestation, 2012 → 2017.
  • <quote>Viewability speaks to a broader metadata theme of trust, as well as an underlying theme of data quality and users’ engagement with content delivered against this data.</quote>
  • Hey! That’s not a business, that’s a Business Unit;
    Hey! That’s not a BU, that’s a Product.
    Hey! That’s not a Product, that’s a Feature.
    <quote>Then, these vertical standalone organizations and solutions were horizontally integrated into the operating agencies as capabilities.</quote>

Claimed

  • SafeGraph <quote>works with universities and health organizations to understand movement data and the spread of infectious diseases.</quote>
  • [all] device IDs are persistent
  • <quote>there are growing trends toward people taking control of their anonymization through the use of virtual private networks and Tor</quote>
    • As stated:
      • casual consumer use of VPNs is prevalent [enough to measure]
      • casual consumer use of Tor is prevalent [enough to measure]
    • Contrast with:
      <surely>IPv6 use is prevalent,
      IPv6 use is prevalent enough to warrant dual-stack interfaces on the great centralized ad exchanges.</surely>
  • <quote>mobile, where cookies can’t be used</quote>
  • <quote>that major brands may view agencies as differentiated commodity services, put their media in review with greater frequency and bid them down.</quote>
  • The adtech bubble is ongoing; adtech will be forward-funded on an ongoing basis:<quote><snip/> will continue to be funded with massive capital because the opportunities for innovation and disruption are huge.</quote>

Framework

Three Four V’s of Data
  1. volume
  2. velocity
  3. variety
  4. veracity

Exemplars

Big (conglomerates)
  • Adobe
  • Amazon
  • Google
  • IBM
  • Oracle
  • Salesforce
  • SAP
Cross-Device Fingerprinting
Viewability
  • AdSafe
  • comScore
  • DoubleVerify
  • Moat
Safety
  • Amino
  • White Ops
Data Brokers
  • Experian
  • Acxiom
  • TransUnion
  • Equifax
Trading Desks
  • Xaxis of WPP
  • Nerve Center of VivaKi of Publicis
Data Breached
  • Yahoo
  • Equifax
Salubrious

Hearts & Science
<honorific>won major accounts on a transparent, data-centric and deeply integrated vision.</honorific>

Who

  • Ted McConnell, practitioner.
    <quote>Ted McConnell, an independent consultant in the digital marketing space.</quote>

Referenced

Previously

In Ad Exchanger

Argot

The Suitecase Words
  • ”data truth”
  • “moat for data”
  • “truth of the inference”
  • intenders, as “auto intenders”
  • attitudes
  • demographics
  • measurement
  • cross-device,
    cross-device mapping.
  • deterministic
  • Television
    • connected television
    • addressable television
    • advanced television
    • data-enabled television
    • targeted television
    • integrated television and video,
      integrated television and video initiatives
  • strategic elements
    strategic elements of advertising campaigns.
  • holistic planning
  • anonymous data
  • digital data
  • ad block
  • cookie block
  • mobile,
    growth of mobile.
  • device IDs
  • persistent
  • anonymity,
    desire for anonymity.
  • breaches,
    data breaches,
    massive data breaches

    • Yahoo
    • Equifax
  • sensitive information
    • Social Security numbers
    • birthdates
    • credit card numbers
  • collaboration
  • competition
  • companies,
    services companies,
    technology and services companies
  • space,
    media space.
  • to verb… with large agencies
    • partner
    • coexist
    • compete
  • Z-axis
  • execute,
    acquisitively execute,
    aggressively and acquisitively execute,
    continue to aggressively and acquisitively execute,
    continue to aggressively and acquisitively execute on their strategies,
    continue to aggressively and acquisitively execute on their strategies to deliver on

    • infrastructure
    • data
    • services
  • agencies,
    holding company agencies.
  • solutions,
    data-driven solutions,
    converged, data-driven solutions.
  • vision,
    • transparent vision
    • data-centric vision
    • integrated vision,
      deeply integrated vision.
  • The side,
    • The downside
    • The upside
  • brands,
    major brands.
  • services,
    commodity services,
    differentiated commodity services,
    agencies as differentiated commodity services.
  • themes
    • convergence
    • data activation
    • people
  • change,
    great change,
    in a time of such great change,
    wait for it … wait for it … the only constant is change …thank you, thank you very much, I’ll be here all week.
  • The Bottom Line
  • In a world of…
  • adjectivedata,
    • first-party data
    • third-party data
    • personal data
    • census data
    • anonymous data
    • panel data,
      <mmmmm>…panel data..…</mmmmm>
    • pixel data
  • understanding,
    deeper understanding,
    deeper understanding of consumers’ …
    deeper understanding of consumers’ awareness and interests,
    deeper understanding of consumers’ awareness and interests while enjoying <snip/> profitability,
    deeper understanding of consumers’ awareness and interests while enjoying short- and long-term profitability,
    deeper understanding of consumers’ awareness and interests while enjoying short- and long-term profitability of their brands.
  • vision,
    this vision,
    delivering on this vision.
  • infrastructure,
    data infrastructure,
    extensive data infrastructure.
  • understanding,
    deep understanding,
    deep understanding of

    • advertising
    • publishing,
      media publishing
    • ecommerce
  • ecosystems,
    technology ecosystems,

    • advertising technology ecosystems
    • marketing technology ecosystems
    • content technology ecosystems
  • ecosystems,
    the ecosystems,
    all the ecosystems,
    And across all the ecosystems
  • nounof data
    • consolidation of data
    • standardization of data
    • interpretation of data
    • activation
  • winners
    winners and losers
    winners and losers will be decided.
  • transformation,
    massive transformation,
    enable massive transformation,
    enable massive transformation at <snip/> lower costs.
    enable massive transformation at materially lower costs.

The Coming Tech Backlash | Ross Mayfield

Ross Mayfield; The Coming Tech Backlash; In That Certain Blog at possibly entitled Shift (too much cobranding), sponsored by Newco, but centrally hosted at Medium; 2017-01-03.
Teaser: Tech innovation is killing jobs, not foreign scapegoats, and revolt after Trump will be Luddite
Summary: The tech industry played an influential role in the outcome of the US Presidential election. Not just in providing the medium for Fake News and propaganda. The root cause is job destruction by Automation — that drove a base of dissatisfied rust-belt voters to support Trump. Job destruction is accelerating, and if Tech doesn’t get ahead of this problem, there will be a significant populist backlash against the industry and it’s ability to progress.

Ross Mayfield is CEO & Co-founder, Pingpad; ex-LinkedIn, SlideShare, Socialtext, RateXchange.

tl;dr → The future is foretold. The hipster socialism. A startup is promoted. Robots bad. Need Jobs for the unpublished classes. the lede is buried.  The working classes need Slack addon, Pingpad, that create jobs; a bot-augmented wiki knowledge base.

Lede

<quote>Here’s what Ross Mayfield is doing about the Backlash. Also, for an example of augmentation in action, see our bot-augmented wiki for Slack teams

Mentions

  • “Tech”, The Tech, The Tech Industry
    a.k.a. publishing on the online web, the blogging.
  • McKinsey
  • Oxford
  • <pro-forma><cliché>The future is unevenly distributed</cliché></pro-forma>
  • The Singularity
  • Jobs
    • Truck Driver
    • Bloggist?
  • Basic Income
    • (semi-)Universal Basic Income
    • YCombinator has a “fellows” grant program
  • Pot (a.k.a. Marijuana)
  • Google
    • Google Busses
  • post-ethics era
    • GOP
  • post-truth era
    • Trump
  • Joi Ito, Jeff Howe; Whiplash: How to Survive Our Faster Future; Grand Central Publishing; 2016-12-06; 320 pages; ASIN:1455544590: Kindle: $15, paper: $5+SHT; separately filled.
  • Sack
    • Slack Channel

References

  • Quartz
  • GeekWire
  • Some Study. That. Shows, branded as An Oxford Study
  • Some Study. That. Shows, branded as A McKinsey Study

As Google Fights Fake News, Voices on the Margins Raise Alarm | NYT

As Google Fights Fake News, Voices on the Margins Raise Alarm; Daisuke Wakabayashi; In The New York Times (NYT); 2017-09-26.

tl;dr → Google Bad. They change their indexing; publishers beholden to search-generated traffic sourcing schemes are affected.
and → <quote>The New York Times could not find the same level of traffic declines at all of those publications, based on data from SimilarWeb</quote> <ahem>then why write the article about a non-event?</ahem>

Epithets

The voices on the margins,
The marginal voices.
  • Socialists, specifically, David North
  • SourceFesters
  • Breitbartists
  • Frank Pasquale

Book

Frank Pasquale; The Black Box Society: The Secret Algorithms That Control Money and Information; Harvard University Press; 2016-08-29; 320 pages; ASIN:0674970845: Kindle: $10, paper: $11+SHT; separately filled.

Mentions

  • World Socialist Web Site (WSWS)
  • Project Owl, of Google
    • Announced 2017-04.
    • <google>algorithmic updates to surface more authoritative content</google>
      <ny-times>stamp out fake news stories from its search results</ny-times>
  • Google performs search results page rating
    • A panel method, of living humans.
    • The panel is paid-staff of Google.
    • N=10,000.
  • Search Quality Evaluator Guidelines; Google; 2013.
  • Alexa, of Amazon,
    not the robot, the web analytics shop.
    has independent traffic estimates.
  • David North (WSWS); open letter to Google, World Socialist Web Site (WSWS); 2017-08-25.
  • SimilarWeb, a web analytics firm.
  • some video, unattributed; hosted on SourceFed; 2016-06.
    tl;dr → accuses Google; asserts there is manipulation of the search results.
  • Four Times Google was Linked Directly to Hillary Clinton; Some Screeching Troll (SST); On Breitbart; 2017-08-14

Lede

  • is buried.
  • The New York Times (NYT) is not able to replicate or validate the claims of traffic falloff.
    <quote>The New York Times could not find the same level of traffic declines at all of those publications, based on data from SimilarWeb, a web analytics firm. </quote>

Who

  • Michael Bertini, expert, iQuanti.
    iQuanti is a marketing agency.
  • Pandu Nayak, spox, fellow, Google.
  • David North, the editorial chairman, World Socialist Web Site
  • Frank Pasquale, professor, law, information law, University of Maryland.

Previously

In The New York Times (NYT)…