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• Google Analytics Privacy Issues : Is It Really That Bad ?

  2 juin 2022, par Erin

  If you find yourself asking : “What’s the deal with Google Analytics privacy ?”, you probably have some second thoughts. 

  Your hunch is right. Google Analytics (GA) is a popular web analytics tool, but it’s far from being perfect when it comes to respecting users’ privacy. 

  This post helps you understand tremendous Google Analytics privacy concerns users, consumers and regulators expressed over the years.

  In this blog, we’ll cover :

  What Does Google Analytics Collect About Users ? 

  To understand Google Analytics privacy issues, you need to know how Google treats web users’ data. 

  By default, Google Analytics collects the following information : 

  • Session statistics — duration, page(s) viewed, etc. 
  • Referring website details — a link you came through or keyword used. 
  • Approximate geolocation — country, city. 
  • Browser and device information — mobile vs desktop, OS usage, etc. 

  Google obtains web analytics data about users via two means : an on-site Google Analytics tracking code and cookies.

  A cookie is a unique identifier (ID) assigned to each user visiting a web property. Each cookie stores two data items : unique user ID and website name. 

  With the help of cookies, web analytics solutions can recognise returning visitors and track their actions across the website(s).

  

  • First party cookies are generated by one website and collect user behaviour data from said website only. 
  • Third-party cookies are generated by a third-party website object (for example, an ad) and can track user behaviour data across multiple websites. 

  As it’s easy to imagine, third-party cookies are a goldmine for companies selling online ads. Essentially, they allow ad platforms to continue watching how the user navigates the web after clicking a certain link. 

  Yet, people have little clue as to which data they are sharing and how it is being used. Also, user consent to tracking across websites is only marginally guaranteed by existing Google Analytics controls. 

  Why Third-Party Cookie Data Collection By GA Is Problematic 

  Cookies can transmit personally identifiable information (PII) such as name, log in details, IP address, saved payment method and so on. Some of these details can end up with advertisers without consumers’ direct knowledge or consent.

  Regulatory frameworks such as General Data Protection Regulation (GDPR) in Europe and California Consumer Privacy Act (CCPA) emerged as a response to uncontrolled user behaviour tracking.

  Under regulatory pressure, Big Tech companies had to adapt their data collection process.

  Apple was the first to implement by-default third-party blocking in the Safari browser. Then added a tracking consent mechanism for iPhone users starting from iOS 15.2 and later. 

  Google, too, said it would drop third-party cookie usage after The European Commission and UK’s Competition and Markets Authority (CMA) launched antitrust investigations into its activity. 

  To shake off the data watchdogs, Google released a Privacy Sandbox — a set of progressive tech, operational and compliance changes for ensuring greater consumer privacy. 

  Google’s biggest promise : deprecate third-party cookies usage for all web and mobile products. 

  Originally, Google promised to drop third-party cookies by 2022, but that didn’t happen. Instead, Google delayed cookie tracking depreciation for Chrome until the second half of 2023. 

  Why did they push back on this despite hefty fines from regulators ?

  Because online ads make Google a lot of money.

  In 2021, Alphabet Inc (parent company of Google), made $256.7 billion in revenue, of which $209.49 billion came from selling advertising. 

  Lax Google Analytics privacy enforcement — and its wide usage by website owners — help Google make those billions from collecting and selling user data. 

  How Google Uses Collected Google Analytics Data for Advertising 

  Over 28 million websites (or roughly 85% of the Internet) have Google Analytics tracking codes installed. 

  Even if one day we get a Google Analytics version without cookies, it still won’t address all the privacy concerns regulators and consumers have. 

  Over the years, Google has accumulated an extensive collection of user data. The company’s engineers used it to build state-of-the-art deep learning models, now employed to build advanced user profiles. 

  Deep learning is the process of training a machine to recognise data patterns. Then this “knowledge” is used to produce highly-accurate predictive insights. The more data you have for model training — the better its future accuracy will be. 

  Google has amassed huge deposits of data from its collection of products — GA, YouTube, Gmail, Google Docs and Google Maps among others. Now they are using this data to build a third-party cookies-less alternative mechanism for modelling people’s preferences, habits, lifestyles, etc. 

  Their latest model is called Google Topics. 

  This comes only after Google’s failed attempt to replace cookie-based training with Federated Learning of Cohorts (FLoC) model. But the solution wasn’t offering enough user transparency and user controls among other issues.

  

  Google Topics promises to limit the granularity of data advertisers get about users. 

  But it’s still a web user surveillance method. With Google Topics, the company will continue collecting user data via Chrome (and likely other Google products) — and share it with advertisers. 

  Because as we said before : Google is in the business of profiting off consumers’ data. 

  Two Major Ways Google Takes Advantage of Customer Data

  Every bit of data Google collects across its ecosystem of products can be used in two ways :

  • For ad targeting and personalisation 
  • To improve Google’s products 

  The latter also helps the former. 

  Advanced Ad Personalisation and Targeting

  GA provides the company with ample data on users’ 

  • Recent and frequent searches 
  • Location history
  • Visited websites
  • Used apps 
  • Videos and ads viewed 
  • Personal data like age or gender 

  The company’s privacy policy explicitly states that :
  

  

  Google also admits to using collected data to “measure the effectiveness of advertising” and “personalise content and ads you see on Google.” 

  But there are no further elaborations on how exactly customers’ data is used — and what you can do to prevent it from being shared with third parties. 

  In some cases, Google also “forgets” to inform users about its in-product tracking.

  Journalists from CNBC and The New York Times independently concluded that Google monitors users’ Gmail activity. In particular, the company scans your inbox for recent purchases, trips, flights and bills notifications. 

  While Google says that this information isn’t sold to advertisers (directly), they still may use the “saved information about your orders in other Google services”. 

  Once again, this means you have little control or knowledge of subsequent data usage. 

  Improving Product Usability 

  Google has many “arms” to collect different data points — from user’s search history to frequently-travelled physical routes. 

  They also reserve the right to use these insights for improving existing products. 

  Here’s what it means : by combining different types of data points obtained from various products, Google can pierce a detailed picture of a person’s life. Even if such user profile data is anonymised, it is still alarmingly accurate. 

  Douglas Schmidt, a computer science researcher at Vanderbilt University, well summarised the matter : 

  “[Google’s] business model is to collect as much data about you as possible and cross-correlate it so they can try to link your online persona with your offline persona. This tracking is just absolutely essential to their business. ‘Surveillance capitalism’ is a perfect phrase for it.”

  Google Data Collection Obsession Is Backed Into Its Business Model 

  OK, but Google offers some privacy controls to users ? Yes. Google only sees and uses the information you voluntarily enter or permit them to access. 

  But as the Washington Post correspondent points out :

  “[Big Tech] companies get to set all the rules, as long as they run those rules by consumers in convoluted terms of service that even those capable of decoding the legalistic language rarely bother to read. Other mechanisms for notice and consent, such as opt-outs and opt-ins, create similar problems. Control for the consumer is mostly an illusion.”

  Google openly claims to be “one of many ad networks that personalise ads based on your activity online”. 

  The wrinkle is that they have more data than all other advertising networks (arguably combined). This helps Google sell high-precision targeting and contextually personalised ads for billions of dollars annually.

  Given that Google has stakes in so many products — it’s really hard to de-Google your business and minimise tracking and data collection from the company.
  

  They are also creating a monopoly on data collection and ownership. This fact makes regulators concerned. The 2021 antitrust lawsuit from the European Commission says : 

  “The formal investigation will notably examine whether Google is distorting competition by restricting access by third parties to user data for advertising purposes on websites and apps while reserving such data for its own use.”

  In other words : By using consumer data to its unfair advantage, Google allegedly shuts off competition.

  But that’s not the only matter worrying regulators and consumers alike. Over the years, Google also received numerous other lawsuits for breaching people’s privacy, over and over again. 

  Here’s a timeline : 

  • 2019 : UK citizens issued a class action suit against Google for imposing cookies to override users’ privacy settings in the Safari browser. 
  • 2020 : US citizens pushed for a $5 billion class-action suit for tracking their activity through browsers set in “private” mode.
  • 2022 : Another class-action lawsuit in the US for deceptive privacy controls and unconsented location data tracking by Google mobile apps. 
  • 2022 : Google reached a $100 million class-action settlement for breaching Illinois biometrics privacy laws in Google Photos. 

  Separately, Google has a very complex history with GDPR compliance. 

  How Google Analytics Contributes to the Web Privacy Problem 

  Google Analytics is the key puzzle piece that supports Google’s data-driven business model. 

  If Google was to release a privacy-focused Google Analytics alternative, it’d lose access to valuable web users’ data and a big portion of digital ad revenues. 

  Remember : Google collects more data than it shares with web analytics users and advertisers. But they keep a lot of it for personal usage — and keep looking for ways to share this intel with advertisers (in a way that keeps regulators off their tail).

  For Google Analytics to become truly ethical and privacy-focused, Google would need to change their entire revenue model — which is something they are unlikely to do.

  Where does this leave Google Analytics users ? 

  In a slippery territory. By proxy, companies using GA are complicit with Google’s shady data collection and usage practice. They become part of the problem.

  In fact, Google Analytics usage opens a business to two types of risks : 

  • Reputational. 77% of global consumers say that transparency around how data is collected and used is important to them when interacting with different brands. That’s why data breaches and data misuse by brands lead to major public outrages on social media and boycotts in some cases. 
  • Legal. EU regulators are on a continuous crusade against Google Analytics 4 (GA4) as it is in breach of GDPR. French and Austrian watchdogs ruled the “service” illegal. Since Google Analytics is not GDPR compliant, it opens any business using it to lawsuits (which is already happening).

  But there’s a way out.

  Choose a Privacy-Friendly Google Analytics Alternative 

  Google Analytics is a popular web analytics service, but not the only one available. You have alternatives such as Matomo. 

  Our guiding principle is : respecting privacy.

  Unlike Google Analytics, we leave data ownership 100% in users’ hands. Matomo lets you implement privacy-centred controls for user data collection.

  Plus, you can self-host Matomo On-Premise or choose Matomo Cloud with data securely stored in the EU and in compliance with GDPR.

  The best part ? You can try our ethical alternative to Google Analytics for free. No credit card required ! Start your free 21-day trial now. 

  21 day free trial. No credit card required.

  Your email address
  

  Your website address
  

  Your Analytics subdomain will be .matomo.cloud (change)

  Choose your analytics subdomain
  

  .matomo.cloud

  I hereby accept the terms and conditions and the data processing agreeement (DPA).

  
  Your information will be used to create an account on our cloud service. For more information please consult our privacy policy.
  
  

  » Start improving your websites now

  

• Can't show image with opencv when importing av

  5 mars, par Flojomojo

  When importing the PyAv module, I am unable to show an image with opencv using imshow()

  


  Code without the PyAv module (works as expected)

  


  import cv2

img = cv2.imread("test_image.jpeg")
cv2.imshow('image', img)
cv2.waitKey(0)


  


  Code with the import (doesn't work, just hangs)

  


  import cv2
import av

img = cv2.imread("test_image.jpeg")
cv2.imshow('image', img)
cv2.waitKey(0)


  


  OS : Linux arch 5.18.3-arch1-1 #1 SMP PREEMPT_DYNAMIC Thu, 09 Jun 2022 16:14:10 +0000 x86_64 GNU/Linux

  


  Am I doing something wrong or is this a (un-)known issue ?

  


• nodejs aws lambda ffmpeg command failure

  14 juin 2022, par mozenge

  Im running an ffmpeg command to generate a thumbnail from a video that exists on aws s3 bucket but accessed from cloud front. So i try to stream the video in the command. This is implemented in nodejs and the ffmpeg dependency is a lambda layer. The code looks like so

  


  const gifName = `${baseFilename}.gif`;
await execPromise(`ffmpeg -t 10 -ss 00:00:01 -i "${_url}" ${'/tmp/' + gifName}`);


  


  _url is a clound front url. This works when i test locally even via aws SAM cli.
But this fails when testing the deployed fuction. The error output I get is as follows

  


  2022-06-13T14:07:41.079Z    35af32d2-c63f-4942-abce-3ae7dad2a6c3    INFO    stderr:  ffmpeg version 5.0.1-static https://johnvansickle.com/ffmpeg/  Copyright (c) 2000-2022 the FFmpeg developers
  built with gcc 8 (Debian 8.3.0-6)
  configuration: --enable-gpl --enable-version3 --enable-static --disable-debug --disable-ffplay --disable-indev=sndio --disable-outdev=sndio --cc=gcc --enable-fontconfig --enable-frei0r --enable-gnutls --enable-gmp --enable-libgme --enable-gray --enable-libaom --enable-libfribidi --enable-libass --enable-libvmaf --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-librubberband --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libvorbis --enable-libopus --enable-libtheora --enable-libvidstab --enable-libvo-amrwbenc --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libdav1d --enable-libxvid --enable-libzvbi --enable-libzimg
  libavutil      57. 17.100 / 57. 17.100
  libavcodec     59. 18.100 / 59. 18.100
  libavformat    59. 16.100 / 59. 16.100
  libavdevice    59.  4.100 / 59.  4.100
  libavfilter     8. 24.100 /  8. 24.100
  libswscale      6.  4.100 /  6.  4.100
  libswresample   4.  3.100 /  4.  3.100
  libpostproc    56.  3.100 / 56.  3.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'https://d17yrtgi5800rj.cloudfront.net/staging/videos/a66a92eb-bc31-4440-958c-07ee23e55bcb':
  Metadata:
    major_brand     : qt  
    minor_version   : 0
    compatible_brands: qt  
    creation_time   : 2022-05-03T19:50:01.000000Z
    com.apple.quicktime.location.accuracy.horizontal: 4.732124
    com.apple.quicktime.location.ISO6709: +52.3832+004.9205+018.038/
    com.apple.quicktime.make: Apple
    com.apple.quicktime.model: iPhone 13 Pro Max
    com.apple.quicktime.software: 15.4.1
    com.apple.quicktime.creationdate: 2022-05-03T21:50:01+0200
  Duration: 00:00:42.67, start: 0.000000, bitrate: 8434 kb/s
  Stream #0:0[0x1](und): Video: hevc (Main 10) (hvc1 / 0x31637668), yuv420p10le(tv, bt2020nc/bt2020/arib-std-b67), 1920x1080, 8214 kb/s, 30 fps, 30 tbr, 600 tbn (default)
    Metadata:
      creation_time   : 2022-05-03T19:50:01.000000Z
      handler_name    : Core Media Video
      vendor_id       : [0][0][0][0]
      encoder         : HEVC
    Side data:
      DOVI configuration record: version: 1.0, profile: 8, level: 4, rpu flag: 1, el flag: 0, bl flag: 1, compatibility id: 4
      displaymatrix: rotation of -90.00 degrees
  Stream #0:1[0x2](und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 162 kb/s (default)
    Metadata:
      creation_time   : 2022-05-03T19:50:01.000000Z
      handler_name    : Core Media Audio
      vendor_id       : [0][0][0][0]
  Stream #0:2[0x3](und): Data: none (mebx / 0x7862656D), 0 kb/s (default)
    Metadata:
      creation_time   : 2022-05-03T19:50:01.000000Z
      handler_name    : Core Media Metadata
  Stream #0:3[0x4](und): Data: none (mebx / 0x7862656D), 5 kb/s (default)
    Metadata:
      creation_time   : 2022-05-03T19:50:01.000000Z
      handler_name    : Core Media Metadata
  Stream #0:4[0x5](und): Data: none (mebx / 0x7862656D), 36 kb/s (default)
    Metadata:
      creation_time   : 2022-05-03T19:50:01.000000Z
      handler_name    : Core Media Metadata
Stream mapping:
  Stream #0:0 -> #0:0 (hevc (native) -> gif (native))
Press [q] to stop, [?] for help
[hevc @ 0x63641c0] Multiple Dolby Vision RPUs found in one AU. Skipping previous.
[hevc @ 0x6375900] Multiple Dolby Vision RPUs found in one AU. Skipping previous.
[hevc @ 0x6333600] Multiple Dolby Vision RPUs found in one AU. Skipping previous.
Output #0, gif, to '/tmp/a66a92eb-bc31-4440-958c-07ee23e55bcb.gif':
  Metadata:
    major_brand     : qt  
    minor_version   : 0
    compatible_brands: qt  
    com.apple.quicktime.creationdate: 2022-05-03T21:50:01+0200
    com.apple.quicktime.location.accuracy.horizontal: 4.732124
    com.apple.quicktime.location.ISO6709: +52.3832+004.9205+018.038/
    com.apple.quicktime.make: Apple
    com.apple.quicktime.model: iPhone 13 Pro Max
    com.apple.quicktime.software: 15.4.1
    encoder         : Lavf59.16.100
  Stream #0:0(und): Video: gif, bgr8(pc, gbr/bt2020/arib-std-b67, progressive), 1080x1920, q=2-31, 200 kb/s, 30 fps, 100 tbn (default)
    Metadata:
      creation_time   : 2022-05-03T19:50:01.000000Z
      handler_name    : Core Media Video
      vendor_id       : [0][0][0][0]
      encoder         : Lavc59.18.100 gif
    Side data:
      DOVI configuration record: version: 1.0, profile: 8, level: 4, rpu flag: 1, el flag: 0, bl flag: 1, compatibility id: 4
      displaymatrix: rotation of -0.00 degrees
frame=    1 fps=0.0 q=-0.0 size=       0kB time=00:00:00.08 bitrate=   0.0kbits/s speed=0.325x    
frame=    4 fps=0.0 q=-0.0 size=     768kB time=00:00:00.18 bitrate=34952.5kbits/s speed=0.239x    
frame=    9 fps=6.6 q=-0.0 size=    2304kB time=00:00:00.34 bitrate=55512.8kbits/s speed=0.248x    
frame=   14 fps=7.0 q=-0.0 size=    3584kB time=00:00:00.51 bitrate=57568.9kbits/s speed=0.255x    
frame=   19 fps=7.2 q=-0.0 size=    5120kB time=00:00:00.68 bitrate=61680.9kbits/s speed=0.259x    
frame=   24 fps=7.4 q=-0.0 size=    6656kB time=00:00:00.84 bitrate=64911.8kbits/s speed=0.258x    
frame=   29 fps=7.5 q=-0.0 size=    7936kB time=00:00:01.01 bitrate=64368.0kbits/s speed=0.26x    
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frame=   70 fps=7.6 q=-0.0 size=   20224kB time=00:00:02.38 bitrate=69611.3kbits/s speed=0.26x    
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frame=  261 fps=7.8 q=-0.0 size=   78848kB time=00:00:08.74 bitrate=73904.2kbits/s speed=0.262x    
frame=  265 fps=7.8 q=-0.0 size=   80128kB time=00:00:08.88 bitrate=73919.9kbits/s speed=0.262x    
frame=  269 fps=7.8 q=-0.0 size=   81152kB time=00:00:09.01 bitrate=73784.4kbits/s speed=0.262x    
frame=  273 fps=7.8 q=-0.0 size=   82432kB time=00:00:09.14 bitrate=73882.2kbits/s speed=0.262x    
frame=  278 fps=7.8 q=-0.0 size=   83712kB time=00:00:09.31 bitrate=73659.4kbits/s speed=0.262x    
frame=  282 fps=7.8 q=-0.0 size=   84992kB time=00:00:09.44 bitrate=73755.8kbits/s speed=0.262x    
frame=  287 fps=7.8 q=-0.0 size=   86784kB time=00:00:09.61 bitrate=73978.6kbits/s speed=0.262x    
frame=  291 fps=7.8 q=-0.0 size=   88064kB time=00:00:09.74 bitrate=74067.8kbits/s speed=0.262x    
frame=  295 fps=7.8 q=-0.0 size=   89344kB time=00:00:09.88 bitrate=74079.6kbits/s speed=0.262x    
frame=  299 fps=7.8 q=-0.0 size=   90624kB time=00:00:10.01 bitrate=74165.0kbits/s speed=0.262x    
frame=  300 fps=7.8 q=-0.0 Lsize=   91358kB time=00:00:10.04 bitrate=74542.5kbits/s speed=0.261x    
video:91358kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.000021%


  


  Any ideas what might be wrong ?