Infoglut

Infoglut refers to the availability of vast and constantly accumulating disorganized data. This data is hard to navigate through or be able to draw conclusions from. Infoglut generally refers to a large but mostly useless clutter of information that takes the form of an interruption or distraction to the normal flow of informational messaging or the current task at hand. It is generally associated with the feeling of being overwhelmed by the excessive amounts of information being presented, devoid of any meaning or patterns. Therefore, it is closely related to the concepts of Information Overload and Information Anxiety. Infoglut is classified by some, notably by Luciano Floridi as an Epistemological problem, which is a broader philosophical concept dealing with the theory of knowledge and perception. Floridi has described this concept as -

"Infoglut means that at a certain point the whole system does not absorb anything."

The growth of technology and the rapid increase in ability to distribute as well as access information, and the shift in focus towards "Big Data" have been the determinants in causing an information overload. Consequently, the effect of being rendered unable to absorb information due to the sheer mass of availability has grown into a large ethical issue that stems from technological and informational advances.

Origin and Evolution

Infoglut derived from the words “Information”, referring to facts and data, and “Glut”, referencing “Gluttony”. Gluttony suggests abundance and excessiveness. Having appeared in several published works since, the term was most recently publicized in 2013 by Marc Andrejevic's book "Infoglut: How Too Much Information Is Changing the Way We Think And Know". In his book, Andrejevic discusses the information overload and strategies in over to tame infoglut in society.

Early Publications

The origins of the word date as far back as the early-mid 1990s, where it has been mentioned in several articles and books. Thomas John's book "Managing the Infoglut: Information Filtering Using Neural Networks" and Michael Marien's article "Infoglut and competing problems: Key barriers suggesting a new strategy for sustainability" were both published in 1994 and indicate the widespread use and research surrounding the term, a decade before the World Wide Web was discovered.

The Information Age

The Information Age (also known as The Computer Age, The Digital Age, The New Media Age), started in the 1970s and is still going on today. It follows on from the Industrial Age that preceded it and has its title due to the rapid transition from the global economy's focus on industrialization to informational technology. In this era, the computing power, storage and memory capacity as well as speed of computers have risen exponentially, facilitating the abundance of information that now exists. Since the onset of the Information Age, the rise in information and computation has led to a rise in innovations, data analysis and has paved the way for further job creation and economic globalization. The full effect on the economy is not yet fully understood and is still largely debated.

Research and Publications

Books

Since the 1990s, there has been extensively discussions about Infoglut and its effects,

Marc Andrejevic's Book On Infoglut, 2013

numerous books have published about the dangers and merits of infoglut and more importantly how to deal with it in the current information landscape. "Managing the Infoglut : Information Filtering Using Neural Networks" by Thomas John exemplifies the kind of work that existed ahead of its time regarding both Infoglut and Neural Networks, terms that have come to light in the 21st century with the rise of Artificial Intelligence. The book discusses the dangers of too much information and the speed with which data can accumulate, and how to maintain the ability to efficiently retrieve information from within the data, through the use of an "electronic superhighway." Marc Andrejevic's "Infoglut : How Too Much Information Is Changing the Way We Think And Know" is the latest book on Infoglut that caused a major wave, and is seen the cornerstone for material on the subject by many. The book is said to expand on the various strategies to deal with information overload and "big data," and how these strategies are connected and the new forms of control they enable.

Articles

Articles on the subject include “Turning an Info-Glut into A Library” by Robert Pool, written in 1994, that discusses converting the overload of inforamtion caused by infoglut into a positive and usable source of data . In 1997, David Shenk wrote an article called "Data Smog : Surviving the Info Glut" which similarly highlights the dangers and drawbacks of the Information Age and how it leads to Information Anxiety . In 1998, The Harvard Journal of Law and Technology published a paper called “Internet Infoglut and Invisible Ink: Spamdexing Search Engines with Meta Tags” by Ira S Nathenson, which drew upon the works of Shenk, amongst others . There have been articles throughout the 2000s including "The Profession of IT - Infoglut" by Peter J. Denning in 2006 and "Infoglut" by Nathan Zeldes in 2009.

Ethical Issues

The rise in Information has also seen a host of related ethical issues surface along with it. Primarily, Infoglut hampers people's decision-making abilities by offering too many details and information, the surplus of which leads to high levels of indecisiveness a long loop of searching. This has led to a various attention deficit issues within people. There is also a rising conflict between information and privacy, as many people do not believe that with the constant growth in personal and public, it is possible to protect individual privacy to the extent that it was before. It has also raised environmental concerns, since managements and corporations are said to have increased their usage of paper, given the high volume of information needed to be documented tangibly.

Luciano Floridi

Luciano Floridi has repeatedly considered Infoglut to be a larger Epistemological problem, while pointing out specific ethical problems that arise with big data. In a lecture delivered at Oxford University, Floridi asked the splitting question "Does respect for individual's privacy require respect for privacy of the group to which the individual belongs to?". He believes that there are a plethora of ethical questions and dilemmas that arise with growing data and that the matters of group privacy and individual privacy have several points of intersection that can be potential grey areas or problem points moving forward. Floridi has further pointed out, that Infoglut means that beyond a certain point, a system is not able to comprehend or absorb any more due to the sheer mass of information it is being fed. He says that at a point, while it might be possible to discern that the data is half right and half wrong, it might be impossible to state which half is which.

Information Entropy

Information entropy is the destruction, pollution, and depletion of information objects. The concept of Informational Entropy was coined by American Mathematician Claude Shannon. It is the measure of uncertainty within an event or topic. Generally, the lower the amount of information that exists within the scope of the event or matter, the higher the certainty. However, due to constantly growing rates of accumulating information, the level of information across subjects has increased vastly, leading to higher entropy and uncertainty.

There has also been an increase in individual entropy caused by the discrepancy between the speed at which digital information is being computed and transferred and people's personal rate of processing information. Economist Herbert A. Simon has been quoted stating along similar lines that a “wealth of information creates a poverty of attention.” and “an information-rich world, the wealth of information means a dearth of something else: a scarcity of whatever it is that information consumes. What information consumes is rather obvious: it consumes the attention of its recipients.”

Information Fatigue Syndrome

Information Fatigue Syndrome was coined in an article titled “Information Overload: Causes, Symptoms and Solutions,” for the Harvard Graduate School of Education’s Learning Innovations Laboratory (LILA), by Joseph Ruff. Information Fatigue Syndrome is a direct result of the decreased effectiveness in decision making process caused by the excessive increase of information pertaining to the possible outcomes of decision being made. In the article, the dearth of attention created by an abundance of information is treated as a clinical illness, and it suggests its symptoms while offering its cures and proactive measures against it.

A list of symptoms include:

Poor concentration

Multitasking resulting in diminished productivity

Hurry Sickness

Heightened irritability or rage symptoms

Over simulation resulting in a mental trance like state

Compulsion related to checking online media and messaging sources

Stress and lowered immune responses

Data As A Commodity

The increase in the sheer volume of information has led to multiple large scale cases of invasion of privacy. Within these invasions, personal data has become a tradeable commodity for the sake of greater consumer information. This data leads to better targeting and profit-making ventures for large corporations. Facebook Cambridge Analytica Scandal of 2018 was a shocking event for millions of users. Their personal information was harvested from Facebook profiles without their consent and used for political purposes. The privacy of millions of people was compromised in favor of data collection. This lead to concerns that this case was just scratching the surface of deeper and more questionable informational transactions. The event marked a critical shift in the perception of data, not as a resource but as a tradable commodity that could be used for profit. There began a greater fear that people's individual privacy was being handed over to companies that treated it as tradable in exchange for monetary value.

Aggregation

Aggregation acts as a way to manage the constantly accumulating disorganized data. Aggregation brings together information that has been gathered from several sources into one single data structure Data aggregation can have many different purposes, including statistical analysis, eliminating duplicate or irrelevant information, or summarizing data for quick consumption. A classic example of data aggregation would be google searching someone's name and finding a few personal details about that individual. There is a dispute whether a more in-depth data aggregation could be construed as an invasion of privacy. For example, a more intrusive example of data aggregation would be a data broker report that can be bought online that included even more personal facts about an individual than a Google search could yield. There is an increasing amount of commercial data that is aggregated by companies in order to inform their marketing and advertising strategies . There can be challenges to this, as the data that is collected is highly unstructured and not always accurate.

See Also

• Information Ethics
• Information Overload
• Luciano Floridi