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INFOST110_Lecture2.1_Fall2018_WhatisInformation.pdf

INFOST 110: Introduction to Information Science &

Technology

Lecture 2.1: What is Information?

What is Information?

• “A collection of facts (or symbols or signs) provided with context.” (Davis & Shaw, 244)

• “Organized or structured data. This processing lends the data relevance for a specific purpose or context, and thereby makes it meaningful, valuable, useful and relevant.” (Rowley, 172)

• Bateson: “Information is a difference which makes a difference.” (Barlow, 14)

What is Information?

Wis-

dom

accumulated

Knowledge

context

Information

meaning

Data

Lester and Koehler: “Facts

are processed into data,

which are processed into

information, INFORMATION

IS INTEGRATED INTO

KNOWLEDGE.” (18)

What is Information?

Wis-

dom

Knowledge

Information

STOP

Data

What is Information?

Wis-

dom

Knowledge

Information meaning

Data

STOP English term, meaning:

•verb, to come to a halt

•noun, a spot where

something halts

•noun, something to block

movement

What is Information?

Wis-

dom

Knowledge

context

Information

Data

Image Source: http://www.americantrails.org/photoGalleries/cool/30-trail-road-crossing-signs.html

What is Information?

Wis-

dom

accumulated

Knowledge

Information

Data

Image Source: http://digitalnomad.nationalgeographic.com/2011/09/28/101-things-i-love-about-japan/

What is Information?

Another example: 1) Data: 355 ungraded multiple choice tests 2) Information: 355 graded m/c tests with an analysis

of how students did on each question 3) Knowledge: Overall, students performed better on

questions from lecture rather than from readings 4) Wisdom: This year’s information is in accord with

previous years’. There are some possible reasons for this: lectures are easier to understand than readings; students may not read, etc.

What is Information?

• Information = final stage toward gaining knowledge

• Necessary components:

– Ordering (information organization)

– Meaning (information literacy)

– Context (information fluency)

What is Information?

• Information used to make decisions from a set of given or implied alternatives

– Deliberative

• Movie reviews

• Weather forecasts

• Ultimatums

• Weather for Milwaukee, WI

– Monday

• High 75⁰

• Low 56⁰

– Slight chance of rain

Image Source: http://sweetclipart.com/colorful-rain-umbrella-548 &

http://sweetclipart.com/black-bicycle-silhouette-1341

What is Information?

• Information used to help resolve uncertainty

– Non-deliberative

• E.g.) Time & appointments

What is Information?

• Information doesn’t always become knowledge

– Context dependent…worth of information to become knowledge is different in different contexts

– Messages that deliver useful information lead to knowledge

– The flow of information

Image Source: http://www.amazon.com/Fundamentals-Information-Studies-Understanding-Environment/dp/1555705944

Flow of Information

Shannon-Weaver Communication Model Source: Claude Shannon (1948). "A Mathematical Theory of Communication". Bell System Technical Journal 27 (July and

October): pp. 379–423, 623–656.

Flow of Information

• Shannon-Weaver Model – Characteristics

– Electronic transmission of data

– Communication is linear

– Recipient is passive receiver of information

– As long as order of words received is the same as transmission, communication occurred

– Noise may distort message

Flow of Information

• Shannon-Weaver Model

INFORMATION

Flow of Information

• Shannon-Weaver Model

INFORMATION

Noise may distort the message leading to

miscommunication; interference.

Flow of Information

• Improved Model

INFORMATION

Encoding and decoding of messages: cultural and literal;

INTERPRETATION of the message.

Flow of Information

• Improved Model

INFORMATION

Channel used to send information can make a difference;

certified mail, confirmation in person (not via txt).

Flow of Information

• Improved Model

INFORMATION

Context matters: context impacts how a message is

received, interpreted, etc.

Flow of Information

• Improved Model

INFORMATION

And, finally, FEEDBACK! Remember these as we think

about information flows; how we share information in

order to create knowledge.

What is Information?

• Data → Information → Knowledge → Wisdom

• To move: meaning, context, accumulation required

• An exchange occurring: information is transferred to pursue knowledge

• Issues involved in the transfer

-- Channel chosen

-- Feedback

– Noise

– Encoding/Decoding

– Context

Barlow’s Taxonomy of Information

• Barlow considers new trends, opportunities and concerns of the information society

– Digital information

– Distribution via the internet

– Collaborative participation

– In information society, information is harder to contain, control, keep stable

– Easy in the digital world to rip, mix, burn, share, remix, reuse

Source: http://www.cchange.net/2010/10/26/sage-spirit-talking-with-john-perry-barlow-and-stewart-brand/

Barlow’s Taxonomy of Information

• 1) Information is an activity

– A verb, not a noun

– Experienced, not possessed

– Has to move

– Propagates, not distributed

Barlow’s Taxonomy of Information

• 2) Information is a life form

– Wants to be free

– Wants to change; it is organic, not fixed

– Is perishable, should be nurtured

Image source: https://www.amazon.com/Rick-Steves-Europe-Through-

Back/dp/1562613928

Barlow’s Taxonomy of Information

• 3) Information is a relationship

– Gains value, meaning through exchange, flows

– Familiarity is more valuable than scarcity but information can also be more valuable when exclusive

– Information only has meaning when it is shared with someone else

– Receiving information is a creative act

Summary

• Masuda thinks the information society will bring about a new form of society

• Information, to become knowledge, needs meaning and context

• Information flows are dependent on context, form, channel, etc.

• Information has to be viewed as an activity, alive, relational

Next Class…

• Wednesday: SOIS Welcome Back, 3:30 – 5:30 p.m.

– NWQ Backyard (on Newport & Maryland)

– Participation credit for attending

• Thursday: Fundamentals of Information Science

– Borko

– Bawden & Robinson

– The Information Machine