Tables from Case Studies

 

 

 

 

Table 01 Case Study + Theory + word count 1

Table 2 Code of utterances. 1

Table 3 Percent instances. 2

Table 4 Greets/Statements/Answers/Questions %.. 2

 

Table 01 Case Study + Theory + word count

Theory used

Case study

Title

Chat-log

# of users

Turns recorded

# words[1]

Reader-Response Theory

chapter 1   

storm

1

45

279

2001

Reading Theory - (also - hypertextuality)       

chapter 1   

 

 

 

 

 

Speech Act (SA) theory

Chapter 2

Astrology 'chat' ----

2

16

85

 

Discourse Analysis (DA)

Chapter 3

General chat

3

11

89

 

Conversational Analysis (CA)  

Chapter 4

Web3d computer modeling 'chat' ----

4

8

511

 

Semiotics (Pragmatics)

Chapter 5

Britney Spears Chatroom '

5

17

70

297

Linguistic schools of thought

Chapter 6

'baseball chat'   

6

13

155

570

 

Chapter 7

IM

 

2

 

 

110

1189

 

 

 

 Table 2 Code of utterances

 

TABLE ONE

Highest

Lowest

Averg.

A/ = greetings or salutations

5 (30)

3 (01)

12%

B/ = statement- open no one in particular, ever who is in the chatroom

1 (40)

4 (09)

20%

C/ = statement - to someone named or previous (earlier) speaker

3 (62)

1 (18)

38%

D/ = answer - to someone named or previous (earlier) speaker

6 (19)

05 %

11%

E/ = answer - open - to ever who is in the chatroom

5 (05)

6 (01)

01%

F/ = question - open - to anyone - ever who is in the chatroom

1 (08)

4 (01)

04%

G/ = question - to someone specific or previous (earlier) speaker

1 (13)

5 (01)

07%

?/ = undetermined or not classifiable by one of the criteria above

4 (08)

6 (03)

05%

** = uses abbreviations such as lol

3 (30)

5 (05)

 

*) = uses emoticons in places of words or identify

5 (05)

6 (03)

 

 

Table 3 Percent instances

CS 

 

A

B

C

D

E

F

G

?

*)

**

1

STORM (Reader)

14

.05%

103

.40%

47

.18%

30

.12%

3

.01%

21

.08%

34

.13%

3

.01%

 1

 2

2.

IM (CMC)

 

 

 

 

 

 

 

 

 

 

3.

SPEARS (Semiotics)

1

.01%

11

.16%

43

.62%

5

.05%

 

2

.03%

6

.07%

.06%

 4 (.06%)

 (21) 30%

4

ASTROCHAT (SA)

9

.11%

15

.19%

25

.32%

13

.16%

 

1

.01%

8

.10%

.08%

 

 

5

TALK CITY (DA)

16

.30%

5

.09%

16

.30%

6

.11%

3

.05%

3

.05%

1

.01%

.05%

.05%

.05%

6

WEB3D (CA)

42

.11%

89

.22%

148

.37%

75

.19%

3

.01%

24

.06%

7

.02%

.03%

.03%

.06%

7.

BASEBALL (Schools)

15

.16%

14

.15%

42

.46%

5

.05%

 

3

.03%

6

.07%

.07%

 

 

 

average

.12%

.20%

.38%

.11%

.01%

.04%

.07%

.05%

 

 

 

Table 4 Greets/Statements/Answers/Questions %

 

TABLE Four

CS 

 

Greetings

Statements

Answers

Questions

?

1

STORM (Reader)

.05%

.58%

.13%

.21%

.03%

2.

IM (CMC)

 

 

 

 

 

3.

SPEARS (Semiotics)

.01%

.78%

.05%

.10%

.06%

4

ASTROCHAT (SA)

.11%

.51%

.16%

.11%

.11%

5

TALK CITY (DA)

.30%

.39%

.16%

.06%

.09%

6

WEB3D (CA)

.11%

.59%

.20%

.08%

.02%

7.

BASEBALL (Schools)

.16%

.61%

.05%

.10%

.08%

 

average

.12%

.58%

.12%

.11%

.07%

 

 


[1] Number of words are words written – including abbreviations.  User names and emoticons are not included.