SlideShare una empresa de Scribd logo
1 de 27
Amazon
TERMS OF USE, PRIVACY NOTICE &
LICENSE AGREEMENT



                             Online Policy Primer
                                         NET 303
Amazon.com
What was the world‟s biggest bookstore has now become the
      world‟s biggest everything store (Hoovers, 2011).
Selling anything from books,
    CDs, Blurays and MP3s to
     cameras, clothing, toys,
 sports equipment and lots more.




Photo credit: „Kindle 2.0 in a box‟ (2009) by shadowstorm
They even have their own range of credit cards
                            (Amazon, 2011c).




      Photo credit: „amazon.co.jp Credit Card‟ (2008) by MJ/TR ( ω )
But have you read their

Terms of Use,
Privacy Policy            or


License Agreement?
Because by even visiting the website, you are accepting the
practices outlined in the Privacy Policy (Amazon, 2008),




                          which states that Amazon can collect and store a

                            comprehensive dossier
                     of your personal details and other information including:
your name
                       address
                phone number
     credit card information
               email addresses
          your friends‟ details
            your photograph
        financial information
          and social security
and driver‟s license numbers
              (Amazon, 2008).




  Photo credit: „Self Portrait‟ (2009) by t6mdm
This kind of data mining has been called by Rotenburg as
“a ticking privacy time bomb” (Barbaro & Zeller, 2006),
                  where your personal information is compiled, stored and
                        used as they see fit but recently governments have
                     attempted to gain access to customer data compiled
      by Amazon, interested in what people are buying including titles like…
“Lolita”
“Brokeback Mountain”
 and   “Fahrenheit 9/11”
                    (Cohen, 2010).
Generally speaking, Terms of Use and privacy policies
                               are rarely read by users but

   “they are the binding forces that
determine what a company can do
    with your personal information
          and private data” (White, 2011).
Another way Amazon gets your information is through the use of
Flash cookies, which are more persistent and are harder to avoid
relative to normal browser cookies (Privacy Rights Clearinghouse, 2011).




                                        Photo credit: „”chocolate chip cookies‟ (2009) by seriousbri
Also, although the Privacy Notice states that Amazon does not sell
products to children, there is no way it can verify that is can‟t happen.


                                            Photo credit: „"his" computer‟ (2011) by Paul Mayne
And of course…
 “Amazon reserves the right to refuse service, terminate accounts,
remove or edit content, or cancel orders in their sole discretion”
(Amazon, 2011b).
Photo credit: „Kindle Birdies‟ (2010) by sarowen
As a Kindle owner, you are subject to the
     Kindle License Agreement and Terms of Use which states

       “Digital Content is licensed,
not sold, to you by the Content Provider”
                       (Amazon, 2011a).
This means that you don‟t own
books in a traditional sense,
rather just the unlimited rights
to read them (Buchanan, 2008).
You can‟t resell or loan your
digital copy.

Now that's a whole new
interpretation of

“ownership”.




Photo credit: Adapted from „Book Sale‟ (2010)
by clemsonunivlibrary
Amazon also have to rights to
remove
purchased content from your Kindle.


   In 2009, Amazon deleted digital copies of books from customers‟ devices,
                         without consent or notice,
                      due to insufficient rights to sell the books (Stone, 2009).
Ironically, among the books
removed were George Orwell‟s




 „1984‟     and

„Animal Farm‟.
                                Photo credit: „Pig‟ (2010) by Travis S.
Kindle owners were angry.
This case highlights the “gap in understanding about rights
in the digital world and the real world” (Claburn, 2009).

People expect digital world rights to be
the same as real world right.
The Kindle License Agreement has been

          changed and amended
many hundreds of times over the last few years (TOSBack, 2011),
       constantly protecting Amazon‟s best interests.

                                      Photo credit: „Day 54/365‟ (2010) by Roxanne Cooke
But if you were notified every time it changes,

     which you‟re not,
     would you re-read the agreement?
So if you think that digital copy of „1984‟ is the same
as the one on your bookshelf, think again.




                                             Photo credit: „Big Brother Congestion‟ (2006) by jeroen020
So let‟s recap,
Amazon is a company that knows who you are,
where you live,
your bank and credit card details,
your phone number and email address,
what you like,
what you buy and
who your friends are.
Plus they have access to your purchased digital content,
which they have the power to remove.
Would you trust them?
Creative Commons License
 This work is licensed under a Creative Commons
Attribution-NonCommercial 3.0 Unported License.
References

Amazon (2011a). Amazon.com Kindle License Agreement and Terms of Use. Retrieved from
http://www.amazon.com/gp/help/customer/display.html/ref=hp_left_sib?ie=UTF8&nodeId=20050
6200
Amazon (2011b). Conditions of Use. Retrieved from
http://www.amazon.com/gp/help/customer/display.html?ie=UTF8&nodeId=508088
Amazon (2011c). Amazon.com Credit Offerings. Retrieved from http://www.amazon.com/Credit-
Cards/b?ie=UTF8&node=1266766011
Amazon (2008). Amazon.com Privacy Notice. Retrieved from
http://www.amazon.com/gp/help/customer/display.html?ie=UTF8&nodeId=468496
amazon.co.jp Credit Card (2008). [Image]. Retrieved from
http://www.flickr.com/photos/mujitra/2527994700/
Barbaro, M. & Zeller, T. (2006). A Face Is Exposed for AOL Searcher No. 4417749. Retrieved from
http://w2.eff.org/Privacy/AOL/exhibit_d.pdf
Big Brother Congestion (2006). [Image]. Retrieved from
http://www.flickr.com/photos/jeroen020/349034095/
Book Sale (2010). [Image]. Retrieved from
http://www.flickr.com/photos/clemsonunivlibrary/5017091407/
Buchanan, C. (2008). Amazon Kindle and Sony Reader Locked Up: Why Your Books Are No
Longer Yours. Retrieved from http://gizmodo.com/369235/amazon-kindle-and-sony-reader-
locked-up-why-your-books-are-no-longer-yours
Claburn, T. (2009). Amazon Says It Will Stop Deleting Kindle Books. Retrieved from
http://www.informationweek.com/news/personal-tech/digital-content/218501227
Cohen, N. (2010). In a State’s Search for Sales Tax, Amazon Raises Privacy Concerns. Retrieved from
http://www.nytimes.com/2010/05/03/business/media/03link.html?src=busln
Day 54/365 (2010). [Image]. Retrieved from http://www.flickr.com/photos/yakoshka/4383282187/
Hoovers (2011). Amazon.com, Inc. [Fact Sheet] Retrieved from
http://www.hoovers.com/company/Amazoncom_Inc/hrcsyi-1.html
“his” computer (2011). [Image]. Retrieved from http://www.flickr.com/photos/paulm/5574119017/
Kindle 2.0 in a box (2009). [Image]. Retrieved from
http://www.flickr.com/photos/shadowstorm/3312576649/
Kindle Birdies (2010). [Image]. Retrieved from http://www.flickr.com/photos/sarowen/4411436839/
Pig (2011). [Image]. Retrieved from http://www.flickr.com/photos/baggis/6115219043/
Privacy Rights Clearinghouse (2011). Fact Sheet 18: Online Privacy: Using the Internet Safely [Fact
Sheet]. Retrieved from https://www.privacyrights.org/fs/fs18-cyb.htm
Self Portrait (2009). [Image]. Retrieved from http://www.flickr.com/photos/t6mdm/3362295860/
Stone, B. (2009). Amazon Erases Orwell Books From Kindle. Retrieved from
http://www.nytimes.com/2009/07/18/technology/companies/18amazon.html
TOSBack: The Terms of Service Tracker (2011). Amazon Kindle License Agreement and Terms of Use.
Retrieved from http://www.tosback.org/policy.php?pid=35
White, C. (2011). Analyzing the Terms of Service (or “Not Every Company is Evil”) [Editorial]. Retrieved
from http://www.neowin.net/news/analyzing-the-terms-of-service-or-not-every-company-is-evil

Más contenido relacionado

Similar a Amazon's Extensive Data Collection and Control Over Digital Content

Comparative Analysis Between Amazon.com & Rokomari.com
Comparative Analysis Between Amazon.com & Rokomari.comComparative Analysis Between Amazon.com & Rokomari.com
Comparative Analysis Between Amazon.com & Rokomari.comReaz Uddin
 
Regan week4 presentation
Regan week4 presentationRegan week4 presentation
Regan week4 presentationmregan3
 
Bloomberg Business Magazine Cover story ppt
Bloomberg Business Magazine Cover story pptBloomberg Business Magazine Cover story ppt
Bloomberg Business Magazine Cover story pptAmit Kumar
 
Amazon.com retailing
Amazon.com retailingAmazon.com retailing
Amazon.com retailingbbrahima
 
Policy Primer - Google's Privacy Policy
Policy Primer - Google's Privacy PolicyPolicy Primer - Google's Privacy Policy
Policy Primer - Google's Privacy PolicyCamille Davey
 
How amazon works
How amazon worksHow amazon works
How amazon workskeikokuwana
 
Amazon Mock Campaign Plan
Amazon Mock Campaign PlanAmazon Mock Campaign Plan
Amazon Mock Campaign PlanAudi Brattin
 
Managerial Vs. Financial Accounting Principles
Managerial Vs. Financial Accounting PrinciplesManagerial Vs. Financial Accounting Principles
Managerial Vs. Financial Accounting PrinciplesStacey Troup
 
Strategies adopted by amazon during the recession along with generic business...
Strategies adopted by amazon during the recession along with generic business...Strategies adopted by amazon during the recession along with generic business...
Strategies adopted by amazon during the recession along with generic business...Md. Nazmus Sakib
 
Artificial Intelligence - AI marketing 2021 - EMDM - Hugues Rey - Solvay ...
Artificial Intelligence - AI marketing    2021 -  EMDM - Hugues Rey - Solvay ...Artificial Intelligence - AI marketing    2021 -  EMDM - Hugues Rey - Solvay ...
Artificial Intelligence - AI marketing 2021 - EMDM - Hugues Rey - Solvay ...Hugues Rey
 
Stage II Critical Reading
Stage II Critical ReadingStage II Critical Reading
Stage II Critical Readingmcd274
 
Amazon Presentation Anything's Possible
Amazon Presentation Anything's PossibleAmazon Presentation Anything's Possible
Amazon Presentation Anything's PossibleAbhyansh Shrivastava
 

Similar a Amazon's Extensive Data Collection and Control Over Digital Content (20)

Comparative Analysis Between Amazon.com & Rokomari.com
Comparative Analysis Between Amazon.com & Rokomari.comComparative Analysis Between Amazon.com & Rokomari.com
Comparative Analysis Between Amazon.com & Rokomari.com
 
Regan week4 presentation
Regan week4 presentationRegan week4 presentation
Regan week4 presentation
 
Bloomberg Business Magazine Cover story ppt
Bloomberg Business Magazine Cover story pptBloomberg Business Magazine Cover story ppt
Bloomberg Business Magazine Cover story ppt
 
Week13
Week13Week13
Week13
 
Week13
Week13Week13
Week13
 
Digital Media in 2012
Digital Media in 2012Digital Media in 2012
Digital Media in 2012
 
Amazon.com retailing
Amazon.com retailingAmazon.com retailing
Amazon.com retailing
 
Policy Primer - Google's Privacy Policy
Policy Primer - Google's Privacy PolicyPolicy Primer - Google's Privacy Policy
Policy Primer - Google's Privacy Policy
 
How amazon works
How amazon worksHow amazon works
How amazon works
 
Amazon Mock Campaign Plan
Amazon Mock Campaign PlanAmazon Mock Campaign Plan
Amazon Mock Campaign Plan
 
Managerial Vs. Financial Accounting Principles
Managerial Vs. Financial Accounting PrinciplesManagerial Vs. Financial Accounting Principles
Managerial Vs. Financial Accounting Principles
 
Strategies adopted by amazon during the recession along with generic business...
Strategies adopted by amazon during the recession along with generic business...Strategies adopted by amazon during the recession along with generic business...
Strategies adopted by amazon during the recession along with generic business...
 
week13
week13week13
week13
 
REPORT ON AMAZON
REPORT ON AMAZONREPORT ON AMAZON
REPORT ON AMAZON
 
Amazon business model
Amazon business modelAmazon business model
Amazon business model
 
Artificial Intelligence - AI marketing 2021 - EMDM - Hugues Rey - Solvay ...
Artificial Intelligence - AI marketing    2021 -  EMDM - Hugues Rey - Solvay ...Artificial Intelligence - AI marketing    2021 -  EMDM - Hugues Rey - Solvay ...
Artificial Intelligence - AI marketing 2021 - EMDM - Hugues Rey - Solvay ...
 
Stage II Critical Reading
Stage II Critical ReadingStage II Critical Reading
Stage II Critical Reading
 
Amazon Presentation Anything's Possible
Amazon Presentation Anything's PossibleAmazon Presentation Anything's Possible
Amazon Presentation Anything's Possible
 
Amazon Documents
Amazon DocumentsAmazon Documents
Amazon Documents
 
The price of free
The price of freeThe price of free
The price of free
 

Último

unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 

Último (20)

unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 

Amazon's Extensive Data Collection and Control Over Digital Content

  • 1. Amazon TERMS OF USE, PRIVACY NOTICE & LICENSE AGREEMENT Online Policy Primer NET 303
  • 2. Amazon.com What was the world‟s biggest bookstore has now become the world‟s biggest everything store (Hoovers, 2011).
  • 3. Selling anything from books, CDs, Blurays and MP3s to cameras, clothing, toys, sports equipment and lots more. Photo credit: „Kindle 2.0 in a box‟ (2009) by shadowstorm
  • 4. They even have their own range of credit cards (Amazon, 2011c). Photo credit: „amazon.co.jp Credit Card‟ (2008) by MJ/TR ( ω )
  • 5. But have you read their Terms of Use, Privacy Policy or License Agreement?
  • 6. Because by even visiting the website, you are accepting the practices outlined in the Privacy Policy (Amazon, 2008), which states that Amazon can collect and store a comprehensive dossier of your personal details and other information including:
  • 7. your name address phone number credit card information email addresses your friends‟ details your photograph financial information and social security and driver‟s license numbers (Amazon, 2008). Photo credit: „Self Portrait‟ (2009) by t6mdm
  • 8. This kind of data mining has been called by Rotenburg as “a ticking privacy time bomb” (Barbaro & Zeller, 2006), where your personal information is compiled, stored and used as they see fit but recently governments have attempted to gain access to customer data compiled by Amazon, interested in what people are buying including titles like…
  • 9. “Lolita” “Brokeback Mountain” and “Fahrenheit 9/11” (Cohen, 2010).
  • 10. Generally speaking, Terms of Use and privacy policies are rarely read by users but “they are the binding forces that determine what a company can do with your personal information and private data” (White, 2011).
  • 11. Another way Amazon gets your information is through the use of Flash cookies, which are more persistent and are harder to avoid relative to normal browser cookies (Privacy Rights Clearinghouse, 2011). Photo credit: „”chocolate chip cookies‟ (2009) by seriousbri
  • 12. Also, although the Privacy Notice states that Amazon does not sell products to children, there is no way it can verify that is can‟t happen. Photo credit: „"his" computer‟ (2011) by Paul Mayne
  • 13. And of course… “Amazon reserves the right to refuse service, terminate accounts, remove or edit content, or cancel orders in their sole discretion” (Amazon, 2011b).
  • 14. Photo credit: „Kindle Birdies‟ (2010) by sarowen
  • 15. As a Kindle owner, you are subject to the Kindle License Agreement and Terms of Use which states “Digital Content is licensed, not sold, to you by the Content Provider” (Amazon, 2011a).
  • 16. This means that you don‟t own books in a traditional sense, rather just the unlimited rights to read them (Buchanan, 2008). You can‟t resell or loan your digital copy. Now that's a whole new interpretation of “ownership”. Photo credit: Adapted from „Book Sale‟ (2010) by clemsonunivlibrary
  • 17. Amazon also have to rights to remove purchased content from your Kindle. In 2009, Amazon deleted digital copies of books from customers‟ devices, without consent or notice, due to insufficient rights to sell the books (Stone, 2009).
  • 18. Ironically, among the books removed were George Orwell‟s „1984‟ and „Animal Farm‟. Photo credit: „Pig‟ (2010) by Travis S.
  • 19. Kindle owners were angry. This case highlights the “gap in understanding about rights in the digital world and the real world” (Claburn, 2009). People expect digital world rights to be the same as real world right.
  • 20. The Kindle License Agreement has been changed and amended many hundreds of times over the last few years (TOSBack, 2011), constantly protecting Amazon‟s best interests. Photo credit: „Day 54/365‟ (2010) by Roxanne Cooke
  • 21. But if you were notified every time it changes, which you‟re not, would you re-read the agreement?
  • 22. So if you think that digital copy of „1984‟ is the same as the one on your bookshelf, think again. Photo credit: „Big Brother Congestion‟ (2006) by jeroen020
  • 23. So let‟s recap, Amazon is a company that knows who you are, where you live, your bank and credit card details, your phone number and email address, what you like, what you buy and who your friends are. Plus they have access to your purchased digital content, which they have the power to remove.
  • 25. Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License.
  • 26. References Amazon (2011a). Amazon.com Kindle License Agreement and Terms of Use. Retrieved from http://www.amazon.com/gp/help/customer/display.html/ref=hp_left_sib?ie=UTF8&nodeId=20050 6200 Amazon (2011b). Conditions of Use. Retrieved from http://www.amazon.com/gp/help/customer/display.html?ie=UTF8&nodeId=508088 Amazon (2011c). Amazon.com Credit Offerings. Retrieved from http://www.amazon.com/Credit- Cards/b?ie=UTF8&node=1266766011 Amazon (2008). Amazon.com Privacy Notice. Retrieved from http://www.amazon.com/gp/help/customer/display.html?ie=UTF8&nodeId=468496 amazon.co.jp Credit Card (2008). [Image]. Retrieved from http://www.flickr.com/photos/mujitra/2527994700/ Barbaro, M. & Zeller, T. (2006). A Face Is Exposed for AOL Searcher No. 4417749. Retrieved from http://w2.eff.org/Privacy/AOL/exhibit_d.pdf Big Brother Congestion (2006). [Image]. Retrieved from http://www.flickr.com/photos/jeroen020/349034095/ Book Sale (2010). [Image]. Retrieved from http://www.flickr.com/photos/clemsonunivlibrary/5017091407/ Buchanan, C. (2008). Amazon Kindle and Sony Reader Locked Up: Why Your Books Are No Longer Yours. Retrieved from http://gizmodo.com/369235/amazon-kindle-and-sony-reader- locked-up-why-your-books-are-no-longer-yours
  • 27. Claburn, T. (2009). Amazon Says It Will Stop Deleting Kindle Books. Retrieved from http://www.informationweek.com/news/personal-tech/digital-content/218501227 Cohen, N. (2010). In a State’s Search for Sales Tax, Amazon Raises Privacy Concerns. Retrieved from http://www.nytimes.com/2010/05/03/business/media/03link.html?src=busln Day 54/365 (2010). [Image]. Retrieved from http://www.flickr.com/photos/yakoshka/4383282187/ Hoovers (2011). Amazon.com, Inc. [Fact Sheet] Retrieved from http://www.hoovers.com/company/Amazoncom_Inc/hrcsyi-1.html “his” computer (2011). [Image]. Retrieved from http://www.flickr.com/photos/paulm/5574119017/ Kindle 2.0 in a box (2009). [Image]. Retrieved from http://www.flickr.com/photos/shadowstorm/3312576649/ Kindle Birdies (2010). [Image]. Retrieved from http://www.flickr.com/photos/sarowen/4411436839/ Pig (2011). [Image]. Retrieved from http://www.flickr.com/photos/baggis/6115219043/ Privacy Rights Clearinghouse (2011). Fact Sheet 18: Online Privacy: Using the Internet Safely [Fact Sheet]. Retrieved from https://www.privacyrights.org/fs/fs18-cyb.htm Self Portrait (2009). [Image]. Retrieved from http://www.flickr.com/photos/t6mdm/3362295860/ Stone, B. (2009). Amazon Erases Orwell Books From Kindle. Retrieved from http://www.nytimes.com/2009/07/18/technology/companies/18amazon.html TOSBack: The Terms of Service Tracker (2011). Amazon Kindle License Agreement and Terms of Use. Retrieved from http://www.tosback.org/policy.php?pid=35 White, C. (2011). Analyzing the Terms of Service (or “Not Every Company is Evil”) [Editorial]. Retrieved from http://www.neowin.net/news/analyzing-the-terms-of-service-or-not-every-company-is-evil