Online data capturing

Hardly a firm today can afford not to engage in electronic commerce if it does not want to be swept out of business by competitors. "Information is everything" has become something like the Lord's prayer of the New Economy. But how do you get information about your customer online? Who are the people who visit a website, where do they come from, what are they looking for? How much money do they have, what might they want to buy? These are key questions for a company doing electronic business. Obviously not all of this information can be obtained by monitoring the online behaviour of web users, but there are always little gimmicks that, when combined with common tracking technologies, can help to get more detailed information about a potential customer. These are usually online registration forms, either required for entry to a site, or competitions, sometimes a combination of the two. Obviously, if you want to win that weekend trip to New York, you want to provide your contact details.

The most common way of obtaining information about a user online is a cookie. However, a cookie by itself is not sufficient to identify a user personally. It merely identifies the computer to the server by providing its IP number. Only combined with other data extraction techniques, such as online registration, can a user be identified personally ("Register now to get the full benefit of xy.com. It's free!")

But cookies record enough information to fine-tune advertising strategies according to a user's preferences and interests, e.g. by displaying certain commercial banners rather than others. For example, if a user is found to respond to a banner of a particular kind, he / she may find two of them at the next visit. Customizing the offers on a website to the particular user is part of one-to-one marketing, a type of direct marketing. But one-to-one marketing can go further than this. It can also offer different prices to different users. This was done by Amazon.com in September 2000, when fist-time visitors were offered cheaper prices than regular customers.

One-to-one marketing can create very different realities that undermine traditional concepts of demand and supply. The ideal is a "frictionless market", where the differential between demand and supply is progressively eliminated. If a market is considered a structure within which demand / supply differentials are negotiated, this amounts to the abolition of the established notion of the nature of a market. Demand and supply converge, desire and it fulfilment coincide. In the end, there is profit without labour. However, such a structure is a hermetic structure of unfreedom.

It can only function when payment is substituted by credit, and the exploitation of work power by the exploitation of data. In fact, in modern economies there is great pressure to increase spending on credit. Using credit cards and taking up loans generates a lot of data around a person's economic behaviour, while at the same restricting the scope of social activity and increasing dependence. On the global level, the consequences of credit spirals can be observed in many of the developing countries that have had to abandon most of their political autonomy. As the data body economy advances, this is also the fate of people in western societies when they are structurally driven into credit spending. It shows that data bodies are not politically neutral.

The interrelation between data, profit and unfreedom is frequently overlooked by citizens and customers. Any company in a modern economy will apply data collecting strategies for profit, with dependence and unfreedom as a "secondary effect". The hunger for data has made IT companies eager to profit from e-business rather resourceful. "Getting to know the customer" - this is a catchphrase that is heard frequently, and which suggests that there are no limits to what a company may want to about a customer. In large online shops, such as amazon.com, where customer's identity is accurately established by the practice of paying with credit cards, an all business happens online, making it easy for the company to accurately profile the customers.

But there are more advanced and effective ways of identification. The German company Sevenval has developed a new way of customer tracking which works with "virtual domains". Every visitor of a website is assigned an 33-digit identification number which the browser understands as part of the www address, which will then read something like http://XCF49BEB7E97C00A328BF562BAAC75FB2.sevenval.com. Therefore, this tracking method, which is advertised by Sevenval as a revolutionary method capable of tracking the exact and complete path of a user on a website, can not be simple switched off. In addition, the method makes it possible for the identity of a user can travel with him when he / she visits one of the other companies linked to the site in question. As in the case of cookies, this tracking method by itself is not sufficient to identify a user personally. Such an identification only occurs once a customer pays with a credit card, or decides to participate in a draw, or voluntarily completes a registration form.

Bu there are much less friendly ways of extracting data from a user and feeding the data body. Less friendly means: these methods monitor users in situations where the latter are likely not to want to be monitored. Monitoring therefore takes place in a concealed manner. One of these monitoring methods are so-called web bugs. These are tiny graphics, not more than 1 x 1 pixel in size, and therefore invisible on a screen, capable of monitoring an unsuspecting user's e-mails or movements on a website. Leading corporations such as Barnes and Noble, eToys, Cooking.com, and Microsoft have all used web bugs in advertising campaigns. Richard Smith has compiled a web bugs FAQ site that contains detailed information and examples of web bugs in use.

Bugs monitoring users have also been packaged in seemingly harmless toys made available on the Internet. For example, Comet Systems offers cursor images which have been shown to collect user data and send them back to the company's server. These little images replace the customary white arrow of a mouse with a little image of a baseball, a cat, an UFO, etc. large enough to carry a bug collecting user information. The technology is offered as a marketing tool to companies looking for a "fun, new way to interact with their audience".

The cursor image technology relies on what is called a GUID (global unique identifier). This is an identification number which is assigned to a customer at the time of registration, or when downloading a product. Many among the online community were alarmed when in 1999 it was discovered that Microsoft assigned GUIDS without their customer's knowledge. Following protests, the company was forced to change the registration procedure, assuring that under no circumstances would these identification numbers be used for tracking or marketing.

However, in the meantime, another possible infringement on user anonymity by Microsoft was discovered, when it as found out that MS Office documents, such as Word, Excel or Powerpoint, contain a bug that is capable of tracking the documents as they are sent through the net. The bug sends information about the user who opens the document back to the originating server. A document that contains the bug can be tracked across the globe, through thousands of stopovers. In detailed description of the bug and how it works can be found at the Privacy Foundation's website. Also, there is an example of such a bug at the Privacy Center of the University of Denver.

Of course there are many other ways of collecting users' data and creating appropriating data bodies which can then be used for economic purposes. Indeed, as Bill Gates commented, "information is the lifeblood of business". The electronic information networks are becoming the new frontier of capitalism.

TEXTBLOCK 1/5 // URL: http://world-information.org/wio/infostructure/100437611761/100438659686
 
Other biometric technologies

Other biometric technologies not specified here include ear recognition, signature dynamics, key stroke dynamics, vein pattern recognition, retinal scan, body odour recognition, and DNA recognition. These are technologies which are either in early stages of development or used in highly specialised and limited contexts.

TEXTBLOCK 2/5 // URL: http://world-information.org/wio/infostructure/100437611729/100438658399
 
Intellectual Property: A Definition

Intellectual property, very generally, relates to the output, which result from intellectual activity in the industrial, scientific, literary and artistic fields. Traditionally intellectual property is divided into two branches:

1) Industrial Property

a) Inventions
b) Marks (trademarks and service marks)
c) Industrial designs
d) Unfair competition (trade secrets)
e) Geographical indications (indications of source and appellations of origin)

2) Copyright

The protection of intellectual property is guaranteed through a variety of laws, which grant the creators of intellectual goods, and services certain time-limited rights to control the use made of their products. Those rights apply to the intellectual creation as such, and not to the physical object in which the work may be embodied.

TEXTBLOCK 3/5 // URL: http://world-information.org/wio/infostructure/100437611725/100438659434
 
Databody convergence

In the phrase "the rise of the citizen as a consumer", to be found on the EDS website, the cardinal political problem posed by the databody industry is summarised: the convergence of commercial and political interest in the data body business, the convergence of bureaucratic and commercial data bodies, the erosion of privacy, and the consequent undermining of democratic politics by private business interest.

When the citizen becomes a consumer, the state must become a business. In the data body business, the key word behind this new identity of government is "outsourcing". Functions, that are not considered core functions of government activity are put into the hands of private contractors.

There have long been instances where privately owned data companies, e.g. credit card companies, are allowed access to public records, e.g. public registries or electoral rolls. For example, in a normal credit card transaction, credit card companies have had access to public records in order to verify identity of a customer. For example, in the UK citizen's personal data stored on the Electoral Roll have been used for commercial purposes for a long time. The new British Data Protection Act now allows people to "opt out" of this kind of commercialisation - a legislation that has prompted protests on the part of the data industry: Experian has claimed to lose LST 500 mn as a consequence of this restriction - a figure that, even if exaggerated, may help to understand what the value of personal data actually is.

While this may serve as an example of an increased public awareness of privacy issues, the trend towards outsourcing seems to lead to a complete breakdown of the barriers between commercial and public use of personal data. This trend can be summarised by the term "outsourcing" of government functions.

Governments increasingly outsource work that is not considered core function of government, e.g. cooking meals in hospitals or mowing lawns in public parks. Such peripheral activities marked a first step of outsourcing. In a further step, governmental functions were divided between executive and judgemental functions, and executive functions increasingly entrusted to private agencies. For these agencies to be able to carry out the work assigned to them, the need data. Data that one was stored in public places, and whose handling was therefore subject to democratic accountability. Outsourcing has produced gains in efficiency, and a decrease of accountability. Outsourced data are less secure, what use they are put to is difficult to control.

The world's largest data corporation, EDS, is also among the foremost outsourcing companies. In an article about EDS' involvement in government outsourcing in Britain, Simon Davies shows how the general trend towards outsourcing combined with advances in computer technology allow companies EDS, outside of any public accountability, to create something like blueprints for the societies of the 21st century. But the problem of accountability is not the only one to be considered in this context. As Davies argues, the data business is taking own its own momentum "a ruthless company could easily hold a government to ransom". As the links between government agencies and citizens thin out, however, the links among the various agencies might increase. Linking the various government information systems would amount to further increase in efficiency, and a further undermining of democracy. The latter, after all, relies upon the separation of powers - matching government information systems would therefore pave the way to a kind of electronic totalitarianism that has little to do with the ideological bent of George Orwell's 1984 vision, but operates on purely technocratic principles.

Technically the linking of different systems is already possible. It would also create more efficiency, which means generate more income. The question, then, whether democracy concerns will prevent it from happening is one that is capable of creating

But what the EDS example shows is something that applies everywhere, and that is that the data industry is whether by intention or whether by default, a project with profound political implications. The current that drives the global economy deeper and deeper into becoming a global data body economy may be too strong to be stopped by conventional means.

However, the convergence of political and economic data bodies also has technological roots. The problem is that politically motivated surveillance and economically motivated data collection are located in the same area of information and communication technologies. For example, monitoring internet use requires more or less the same technical equipment whether done for political or economic purposes. Data mining and data warehousing techniques are almost the same. Creating transparency of citizens and customers is therefore a common objective of intelligence services and the data body industry. Given that data are exchanged in electronic networks, a compatibility among the various systems is essential. This is another factor that encourages "leaks" between state-run intelligence networks and the private data body business. And finally, given the secretive nature of state intelligence and commercial data capturing , there is little transparency. Both structures occupy an opaque zone.

TEXTBLOCK 4/5 // URL: http://world-information.org/wio/infostructure/100437611761/100438659769
 
Global hubs of the data body industry

While most data bunkers are restricted to particular areas or contexts, there are others which act as global data nodes. Companies such as EDS (Electronic Data Systems), Experian, First Data Corporation and Equifax operate globally and run giant databases containing personal information. They are the global hubs of the data body economy.

Company

Sales in USD billions

Size of client database in million datasets





Equifax





1,7





360





Experian





1,5





779





Fist Data Corporation





5,5





260





EDS





18,5









(not disclosed)

(Sales and database sizes, 1998)

The size of these data repositories is constantly growing, so it is only a matter of time when everybody living in the technologically saturated part of the world will be registered in one of these data bunkers.

Among these companies, EDS, founded by the former US presidential candidate Ross Perot, known for his right-wing views and direct language, is of particular importance. Not only is it the world's largest data body company, it is also secretive about the size of its client database - a figure disclosed by the other companies either in company publications or upon enquiry. After all, the size of such a data base makes a company more attractive for potential customers.

For many years, EDS has been surrounded by rumours concerning sinister involvement with intelligence agencies. Beyond the rumours, though, there are also facts. EDS has a special division for government services. EDS does business with all military agencies of the US, as well as law enforcement agencies, justice agencies, and many others. The company also maintains a separate division for military equipment In 1984, the company became a subsidiary of General Motors, itself a leading manufacturer of military and intelligence systems. EDS is listed by the Federation of American Scientist's intelligence resource program as contractor to US intelligence agencies, and prides itself, amongst other things, to respond to the "rise of the citizen as a consumer".

TEXTBLOCK 5/5 // URL: http://world-information.org/wio/infostructure/100437611761/100438659778
 
National Laboratory for Applied Network Research

NLANR, initially a collaboration among supercomputer sites supported by the National Science Foundation, was created in 1995 to provide technical and engineering support and overall coordination of the high-speed connections at these five supercomputer centers.

Today NLANR offers support and services to institutions that are qualified to use high performance network service providers - such as Internet 2 and Next Generation Internet.

http://www.nlanr.net

INDEXCARD, 1/5
 
Economic rights

The economic rights (besides moral rights and in some cases also neighboring rights) granted to the owners of copyright usually include 1) copying or reproducing a work, 2) performing a work in public, 3) making a sound recording of a work, 4) making a motion picture of a work, 5) broadcasting a work, 6) translating a work and 7) adapting a work. Under certain national laws some of these rights are not exclusive rights of authorization but in specific cases, merely rights to remuneration.

INDEXCARD, 2/5
 
Artificial Intelligence

Artificial Intelligence is concerned with the simulation of human thinking and emotions in information technology. AI develops "intelligent systems" capable, for example, of learning and logical deduction. AI systems are used for creatively handling large amounts of data (as in data mining), as well as in natural speech processing and image recognition. AI is also used as to support decision taking in highly complex environments.
Yahoo AI sites: http://dir.yahoo.com/Science/Computer_Science/Artificial_Intelligence/
MIT AI lab: http://www.ai.mit.edu/


http://dir.yahoo.com/Science/Computer_Science...
http://www.ai.mit.edu/
INDEXCARD, 3/5
 
Ross Perot

Ross Perot, founder of EDS, is one of the richtest individuals of the US, and former presidential candidate of the Reform Party. A staunch patriot, Perot has been know for his aggressive business practices as well as for his close relationships to the military and other US governmental bodies. Perot reached 19 % in the 1992 presidential elections, but dropped to less than 10 % in 1996.

Official website: http://www.perot.org/

Unofficial website: http://www.realchange.org/perot.htm

http://www.eds.com/
http://www.perot.org/
http://www.realchange.org/perot.htm
INDEXCARD, 4/5
 
Transistor

A transistor is a solid-state device for amplifying, controlling, and generating electrical signals. Transistors are used in a wide array of electronic equipment, ranging from pocket calculators and radios to industrial robots and communications satellites.

INDEXCARD, 5/5