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1
2
3 : : ( ) : ( ) : ( )
4 (media richness theory) 32 2 (social information processing theory) 36 3 (social presence theory) 38 4 (social context cues theory) (following) (follower)
5 2 4 : : 75 4 SNS(Social Network Service) 77 1 SNS(Social Network Service) SNS SNS SNS SNS SNS SNS SNS SNS SNS SNS SNS 98
6 3 3 SNS SNS SNS SNS SNS SNS SNS SNS SNS CMC SNS
7 4 2 1 (, 1998) SNS SNS SNS SNS SNS (Following) SNS SNS ( ) 92
8 SNS SNS SNS SNS SNS ( ) SNS SNS ( ) SNS SNS ( ) SNS SNS ( ) SNS SNS ( ) SNS SNS SNS SNS
9 ( ) SNS SNS ( ) SNS ( ) ( ) SNS SNS ( ) SNS ( ) SNS SNS ( ) SNS ( ) ( ) SNS ( ) SNS SNS 134
10 7 1 1 Twitter & (Daft et al., 1987)
11
12 9 1.,, 2.0 (Social Media).,.. 1.0, , (prosumer)..,.
13 10.,,.. 2.,... 1 (media richness theory), (bandwidth) (Daft, Lengel, 1984),.,,..,
14 11 (, 1998). 2 (social information processing theory),.., (mediated) ( ) (rate) (Walther, 1996).. 3 (social presence theory) (socio contextual cues).,. (Short et al., 1976),,,..,,. 4 (social context cues theory),,,
15 12,.. (Sproull & Kiesler, 1986),,, (Hiltz, Johnson, & Turoff, 1986) CMC.. 3,,, ,.,.
16 13.. /. 2,,., IT,,,,,,,,,,....,,. 3.,,,.. (weak tie, Putnam, 2000) (unfollow) 1). 1).
17 14. 4 :,,.,,,. ( API),, PC ( )., /,. 5,,.,.,,. 4 SNS SNS(Social Network Service) SNS 409.
18 15 1 SNS(Social Network Service) 1 50 SNS, SNS 4 9. SNS, SNS SNS. SNS, SNS, SNS, SNS. 2 SNS SNS SNS,. SNS,. SNS SNS, SNS. SNS SNS SNS, SNS SNS SNS.
19 16 3 SNS SNS,, SNS SNS. SNS, SNS. SNS ( 3.10), SNS.., SNS SNS,,, SNS SNS. SNS SNS. 5 1 CMC, CMC., SNS.,
20 17 SNS..,. SNS,,., SNS. CMC,.,
21 18,, 1..,., SNS SNS, SNS,. SNS SNS. SNS., SNS,. SNS.
22 19 4,.,..
23
24 ,, 2.0 (Social Media). (N. Postman), (M. McLuhan), (H. Innis),.,, (bias),., ,,,,,,,..
25 , , (prosumer)., (self) (multi-self).,,.. (symentic Web) Web3.0, (intelligence Web) 4.0..,.
26 1 23,,, ,..,..,,.. 2
27 24.,,, (, 2003).,,,,.,,,.,,,,... (Fortunati, 2002) (Nomadic Intimacy).,., 2.0
28 1 25, (, 2006)., 2.0.,, (, 2008) UCC, (, 2008). UCC 2.0. UCC 1. UCC.. (, 2008).,, (RT)
29 26, ,. (2006) (mobility)...,.. (Sohn Lee, 2005),,,,.. (2008),
30 1 27,..... (,2000). (Jones, 2003) (, 2005). (Steuer, 1992)...
31 28 (, 2008)...,, ,, 2.0.,,. 1.0, 2.0 (, 2008). (Stuart,2009) SNS(social networking sites),.
32 (Shirky,2008).,..,.... (Kim & Yun, 2008),.., , , ) 6.2 2) 5
33 30, , 2000, 2003, 2006 (DMC, 2009). 1 1 Twitter & : 5 (Hyghes Palen, 2009)
34 1 31 Gustav Ike....,,,., SNS SNS, SNS,.
35 32 2 (CMC)., (media richness theory), (Daft, Lengel, 1984; Trevino & Lengel, Daft 1987). (media richness theory). (cues) (media richness) (Daft, Lengel, 1986)., (bandwidth) (Daft, Lengel, 1984), (Trevino, Lengel, Bodensteiner, Gerloff, & Muir, 1990).
36 2 33,,,,,., (media richness) (Daft & Lengel, 1986; Daft et al., 1987).,,,, (Daft et al., 1987)., (Daft, Lengel, & Trevino, 1987) (hierarchy of media richness),., (,,, ), (,, ) ( 2 1 ). 2 1 (Daft et al., 1987),., (, 2006). (shared meaning), (, 1998).
37 34.,, CMC,, (, 2005). (Daft & Lengle, 1986) (fit). (uncertainty) (equivocality).,.,.,.,,,,. CMC,,, (Walther, 1992)., (Daft & Lengel, 1984).,.,. (, 2006). (,,,, )
38 2 35,, (EL Shinnaywy and Markus,1998; Fulk and Ryu, 1990; Webster and Trevino, 1995)., (Lee, 1994; Markus, 1994) (EL Shinnawy & Markus, 1998).,,.,,, (Fulk et al., 1990; Trevino et al., 2000; Webster and Trevino, 1995). (Fulk, 1990) (social influence).. (Webster & Trevino, 1995)., (distance),., (symbolism). (Trevino, 2000),,.,,
39 36.,, (skill),,.., (, 1998). 2 (social information processing theory) (Walther, Anderson, & Park, 1994).,.. (SIP: Social Information Processing)., (, 1988)., (Walther, Anderson, Park, 1994).,,.,
40 2 37 (Walther, 1993). (Walther, 1996). (Rice & Love, 1987; Utz, 2000; Walther, 1992).,,.,,, (Fulk, et al., 1987) (, 1998),,,,,.,. (Rice & Shook, 1990),.
41 38.. (Huang, et al., 1996).,., (mediated) ( ) (rate) (Walther, 1996). (Walther, 1996; Parks, & Floyd, 1996; Walther & Burgoon, 1992). (2002) CMC, CMC. 3 (social presence theory) (Biocca, Burgoon, Harms, Stoner, 2001)...
42 2 39 (Socially present). (Short, Williams, & Christie, 1976), (being together). (socio contextual cues).,. (Short et al., 1976),,,.,,,. (Chidambaram & Jones, 1993)., CMC,,,,. CMC.,.,. (Rice & Love, 1987).,
43 40 (Short, Williams, & Christie, 1976).,,. (Hiltz, 1996),...., (, 2006),. (Short et al., 1976),,.,.,.
44 2 41 ( 2006). (Walther, 1996), (Walther, 1992). (Hiltz & Turoff, 1987; Rice & Love, 1987). (Glinter & Eldridge, 2001). (Walther, 1996).,.,. (Wilson, Williams, 1975; Short, Williams, & Christie, ). (Carlson & Zmud, 1999).,.. (Carlson & Zmud, 1999),,,,.,.,
45 42.. (para social) (Lombard & Ditton, 1997).,. (richness). (Rice, 1993),,. (Perse & Courtright, 1993),.,, (O Sullivan, 2000; Kayany, Wotring, & Forrest, 1996;, 2000). (O Sullivan, 2000),.,.
46 2 43,,. (buffer effect),, (O Sullivan, 2000). (Westmyer et al., 1998) (oral),.. (Walther & Burgoon, 1992),,.,,,. 4 (social context cues theory), (CFO: Cues Filtered Out). (Culnan) (Markus) CMC (Walther, 1996).,, (Kiesler, Siegel, & McGuire, 1984).,,,,
47 44.. (Sproull & Kiesler, 1986),,, (Hiltz, Johnson, & Turoff, 1986) CMC.. CMC, (, 2005).
48 3 45 3,,,., ,., ,....,,,,..,
49 46.., , (2 ), ( ) (3 ), (1 ), (1 ), (10 ), (2 ), (1 ) , 30 6, , 2, 3, 2, 1, 2, , , 500 1,000 4, 1,000 5,000 3, 5, follower , , , , , , , , ,000
50 ,. ( 7), ( 8), ( 13), ( 17).,.,,,, ( 3).,..,,, PC.,
51 48 2.,.., ,.. /., /.
52 3 49 /. 140 ( 6), ( 16).....,.,, ,.. 7.,.
53 50 ^^; ) 4),,., IT,,,,,,,,,,.... IT IT... 6 IT/.,,. /,. 7 IT,, 6 3, 1 2 ^^ 8. 3) ).
54 ( 7). ( 20),.... mention... 1,. 3., ,,, ( 12).
55 flow. 12,.. ^^ 8 2. (following) (follower)..?,,,., ( 1)....,, ( 12).
56 3 53, following.,. IT News(zdnet ), Events(, ), iphone News( qswoo, ), Ma friends( ), Job( ) ^^ 8 IT , IT,, , ( 1). ( 4, 6)..., following following following. follow following follower. 1,, ( ),.
57 ,,,,. 4.. ( 11).,. ( 2, 18),,. ( 9).. ( 4, 11, 13, 14)... ( 8, 14, 20), ( 7).,.,.,.
58 3 55.( 18, 20) 3 1.., ( 3, 5, 8, 9, 17, 18, 20)...?... 3,. 5 ( 5, 7, 8, 17) ( 1, 4, 12, 13, 14, 15, 20)., DM,.,..
59 ( ) ,...,.., ,.. 20
60 ,,,.,, ,,.
61 ( ). 9.,...,...,.,,,. 4,.
62 mention.? 1..,. /,. 7,... 8.?. 14,. 16..,.,,. (weak tie, Putnam, 2000).
63 60. (unfollow) 5). ( ) (weak tie, Putnam, 2000)..,.., ).
64 :.?,,.. 1.,,,. 140, ( ). ( 3), ( 6, 8) ( 5).. 3
65 ,?... ^^ ,. 5 IT. ( 8, 11, 13),, ( 12, 13).,.,., IT., IT, IT
66 3 63, ( 13, 14).. ( 8, 14, 20). ( 11, 12).,, cnbc...,,.. 20,. ( 7, 13, 16) ( 7, 13, 15, 19)....,,.. 7
67 % ( API),, PC ( ). API ( 7, 9, 12).,. API. API. SNS API.. API. API. 1., (twtkr). msn,,,?.. 9.,..
68 3 65 ( 13).,,,.. 140,.. ( 13). ( 3, 11, 17). 140 / PC ( ) PC. ( 8).
69 66,.,., ( 13).,. PC ( 4) ,,,, ( API),, PC ( ),.,, /,..,,..
70 3 67. RT. RT ( ). 7 /,. ( 3, 16).,,.,. 140.,. 1:1 :. a a & a.?
71 68,. 16,..,. (weak tie)., ( 2, 9, 12, 16, 20). follower... 9,, RT
72 ( 1, 20)., ( 16). ( 4, 8, 9).,, ( 2, 9, 13). ( 9, 11). ( 11),,
73 70 ( 2, 9, 13).,,. ( 10)..( 7, 13) RT.. RT. 7,?.,. ( 1, 7, 19)..,.,. 19
74 3 71. ( 14, 14).,,.,,. 3 2 RT.,. RT RH-. 9, ,.,. 16 PC / / /.,., 2. 19
75 72 2.,.,?,.,,, ( 1, 3, 4, 6, 9, 10, 17) ( 1). ( 9) ( 4, 6)., ( 3).
76 % 45%? 4 6, ( 8, 20), ( 9). ( 13)..,.,. 100% ,,,.,..
77 74?.... RT RT?. RT RT ,,. ( 7, 13, 16)..,, ( 11) ( 14),.
78 : ( 16), ( 17). ( 2), ( 6).???,,. ( 2). ( 6, 13)., ( 12, 15).,
79 76.? 1?
80 4 SNS(Social Network Service) 77 4 SNS(Social Network Service) SNS(Social Network Service) SNS. SNS. SNS SNS, SNS, SNS, SNS, SNS. SNS,,, SNS, SNS,, SNS, SNS, SNS, SNS SNS. SNS, SNS. SNS,,, SNS,,,. 409, SNS, SNS 288, SNS 326, SNS 84, SNS )
81 78 7), SNS. SNS 135, 153, SNS 146, 180, SNS 42, SNS 72, 52. SNS SNS. 4 1 SNS 135(34.2%) 153(35.9%) SNS 146(37%) 180(42.2%) SNS 42(10.6%) 42(9.8%) SNS 72(18.2%) 52(12.2%) SNS. SNS (18.8%), (11.1%), ) SNS SNS. 7) (
82 4 SNS(Social Network Service) 79 (22.6%), (14.2%), (13.2%), (15.6%), (4.5%). SNS, (24.7%), (14.2%), (24.3%), (17.0%), (17.0%), (13.9%), 50 6 (2.1%). SNS (6.6%), (5.2%), (5.9%), (4.5%), (3.5%), (2.4%), 50 3 (1.0%). SNS (8.0%), (6.9%), (11.1%), (5.9%), (4.9%), (5.2%), 50 3 (1.0%). SNS SNS 54 (18.8%) 32 (11.1%) 65 (22.6%) 41 (14.2%) 38 (13.2%) 45 (15.6%) 13 (4.5%) 288 (100%) SNS 71 (24.7%) 41 (14.2%) 70 (24.3%) 49 (17.0%) 49 (17.0%) 40 (13.9%) 6 (2.1%) 326 (100%) SNS 19 (6.6%) 15 (5.2%) 17 (5.9%) 13 (4.5%) 10 (3.5%) 7 (2.4%) 3 (1.0%) 84 (100%) SNS 23 (8.0%) 20 (6.9%) 32 (11.1%) 17 (5.9%) 14 (4.9%) 15 (5.2%) 3 (1.0%) 124 (100%)
83 (41.3%), 123 (30.1%), 30 (7.3%), 26 (6.4%), 20 (4.9%), 13 (3.2%), 11 (2.7%), 10 (2.4%), 7 (1.7%). 4 3 N 169(41.3%) 123(30.1%) 30(7.3%) 26(6.4%) 20(4.9%) 13(3.2%) 11(2.7%) 10(2.4%) 7(1.7%) 409(100%) 62 (15.2%), 1, (17.6%), 1,000 2, (15.2%), 2,000 3, (19.8%), 3,000 4, (15.9%), 4,000 5, (7.6%), 5, (8.8%).
84 4 SNS(Social Network Service) N 62(15.2%) 1,000 72(17.6%) 1,000 2,000 62(15.2%) 2,000 3,000 81(19.8%) 3,000 4,000 65(15.9%) 4,000 5,000 31(7.6%) 5,000 36(8.8%) 409(100%), N 30 31(7.6%) (13.0%) (30.6%) (18.1%) (7.1%) (4.4%) (13.0%) (1.0%) 15 22(5.4%) 409(100%)
85 82 31 (7.6%), (13.0%), (30.6%), (18.1%), (7.1%), (4.4%), (13.0%), (1.0%), (5.4%) (0.2%), (1.0%), (23.7%), (28.1%), (23.0%), (9.0%), (11.5%), (1.0%), (2.4%), N 30 1(0.2%) (1.0%) (23.7%) (28.1%) (23.0%) (9.0%) (11.5%) (1.0%) 15 10(2.4%) 409(100%)
86 4 SNS(Social Network Service) 83 1 SNS(Social Network Service) 1. SNS SNS %(38 ), %(88 ), %(126 ), %(117 ), %(22 ), %(9 ), %(6 ), %(3 ) SNS N 30 38(9.3%) (21.5%) (30.8%) (28.6%) (5.4%) (2.2%) (1.5%) 13 3(0.7%) 409(100%) 2. SNS SNS %(43 ), %(31 ), %(66 ), %(99 ), %(111 ), %(32 ), %(27 ) 4 9
87 84. SNS. 4 8 SNS N 1 43(10.5%) (7.6%) (16.1%) (24.2%) (27.1%) (7.8%) 10 27(6.6%) 409(100%) 3. SNS SNS SNS. SNS 84.7%(244 ), 10.4%(30 ), 3.4%(10 ), 1%(3 ), 0.3%(1 ). SNS 71.2%(232 ), 18.7%(61 ), 6.5%(21 ), 3.1%(10 ), 0.6%(2 ). SNS 70.2%(59 ), 11.9%
88 4 SNS(Social Network Service) 85 (10 ), 10.7%(9 ), 3.6%(3 ), 3.6%(3 ), SNS 50%(62 ), 6.5%(8 ), 16.9%(21 ), 16.1%(20 ), 10.5%(13 ). SNS, SNS SNS SNS SNS SNS SNS SNS 244 (84.7%) 232 (71.2%) 59 (70.2%) 62 (50%) 30 (10.4%) 61 (18.7%) 10 (11.9%) 8 (6.5%) 10 (3.4%) 21 (6.5%) 9 (10.7%) 21 (16.9%) 3 (1%) 10 (3.1%) 3 (3.6%) 20 (16.1%) 1 (0.3%) 2 (0.6%) 3 (3.6%) 13 (10.5%) ( : (%)) (100%) 288 (100%) 326 (100%) 84 (100%) 124 (100%) 4. SNS SNS
89 86. SNS %(249 ), %(21 ), %(11 ), %(4 ), %(3 ). SNS %(178 ), %(71 ), %(67 ), %(7 ), %(3 ) SNS %(73 ), %(8 ), %(3 ). SNS %(96 ), %(11 ), %(9 ), %(1 ), %(7 ). SNS SNS SNS SNS, SNS., SNS SNS SNS SNS ( : (%)) SNS (86.4%) 178(54.6%) 73(86.9%) 96(77.4%) (7.3%) 71(21.8%) 8(9.5%) 11(8.9%) (3.8%) 67(20.6%) 3(3.6%) 9(7.3%) (1.4%) 7(2.2%) 0 1(0.8%) 500 3(1.1%) 3(0.9%) 0 7(5.6%) 288(100%) 326(100%) 84(100%) 124(100%)
90 4 SNS(Social Network Service) SNS SNS,,,,,,,,,,,,, 1, 5 5. SNS ( 3.76), ( 3.74), ( 3.48), SNS ( 3.90), ( 3.79), ( 3.49), ( 3.46). SNS ( 3.67), ( 3.37), ( 3.33), SNS ( 3.29). SNS ( 3.61), ( 3.53), ( 3.47), ( 3.46), ( 3.41), ( 3.28), ( 3.27) SNS., SNS, SNS, SNS, SNS
91 88. SNS SNS SNS SNS ( : ( )) SNS SNS 3.40(.961) 3.90(.812) 2.55(.974) 3.41(.893), 3.74(.867) 3.79(.839) 3.05(1.063) 3.61(.899) 3.48(.944) 2.90(.994) 3.15(1.103) 2.95(.995) 3.76(.863) 3.35(.926) 3.33(.910) 3.27(.947) 3.08(.999) 3.07(.934) 3.32(.920) 3.47(.887) 3.14(.973) 3.09(.900) 3.37(.967) 3.53(.860) 3.41(.944) 3.49(.894) 3.67(.766) 3.30(.901) 3.09(1.005) 3.37(.979) 2.49(1.114) 3.46(.914) 3.29(.975) 3.46(.975) 2.81(.938) 3.05(.978) 2.92(.992) 2.91(.950) 3.29(.872) 2.93(1.022) 3.12(.935) 2.81(.961) 2.96(1.011) 3.28(1.040) 3.01(.966) 2.92(.941) 2.55( (.905) 3.02(1.008) 2.83(.972) 2.89(.994) 3.27(.894)
92 4 SNS(Social Network Service) SNS SNS. ( 44.3%, 40.3%) ( 15.3%, 7.3%), SNS SNS, SNS ( 26.6%, 28.2%, 21.7%) ( 27.4%, 30.7%, 19.3%). SNS SNS. SNS SNS. SNS ( : (%)) 3(2.4%) 16(12.9%) 42(33.9%) 32(25.8%) 23(18.5%) 8(6.5%) SNS SNS SNS 4(3.2%) 29(23.4%) 55(44.4%) 23(18.5%) 11(8.9%) 2(1.6%) 6(4.8%) 29(23.4%) 49(39.5%) 26(21%) 12(9.7%) 2(1.6%) 5(4.0%) 22(17.7%) 67(54%) 17(13.7%) 7(5.6%) 6(4.8%) 9(7.3%) 65(52.4%) 34(27.4%) 16(12.9%)
93 (following) (following) (follower) 33.6%(36 ),, 28%(30 ), 25.2%(27 ), 12.1%(13 ), 9%(1 ) (Following) (Following) N(%) 13(12.1%) 36(33.6%) 30(28%) 27(25.2%) 1(9%). SNS 1, 5. ( 3.91) ( 3.90), ( 3.78) ( 3.73), ( 3.66), ( 3.63), ( 3.54), ( 3.42), (tool) ( 3.20).
94 4 SNS(Social Network Service) 91,, ( ) 3.78(.828) 3.66(.764) 3.54(.839) 3.73(.808) 3.63(.841) (tool) 3.20(.916) 3.90(.686) 3.91(.708) 3.42(1.082) 2 SNS SNS SNS. 1. SNS SNS. SNS. 1, 5 5, SNS 3.22, SNS 3.33, SNS 2.87, 3.48.
95 92 SNS. SNS, SNS (F =4.86 p.<.01)., (Scheffe) SNS SNS, SNS SNS, SNS SNS. SNS SNS. SNS, SNS SNS * p. <.01 F * SNS ( ) SNS SNS SNS SNS Scheffe, c a, c b, c d (p<.05). ( ) 3.22(.813) a 3.33(.784) b 2.87(.875) c 3.48(.811) d
96 4 SNS(Social Network Service) SNS 1, 5 5. SNS 3.23, SNS 3.50, SNS 3.06, SNS SNS, SNS (F =4.86 p. <.01). (Scheffe), SNS SNS. SNS SNS SNS SNS * p. <.01 F * SNS ( ) SNS 3.23(.863) a SNS 3.50(.864) b SNS 3.06(.864) SNS 3.34(.844) Scheffe, a b (p<.05).
97 94 SNS SNS. 3. SNS. SNS 12.5%(36 ), 31.6%(91 ), 43.1%(124 ), 12.9%(37 ). SNS 14.7%(48 ), 52.1%(170 ), 26.4%(86 ), 6.7%(22 ). SNS 8.3%(7 ), 23.8%(20 ), 21.4%(18 ), 46.4%(39 ). SNS 15.3%(19 ), 34.7%(43 ), 31.5%(39 ), 18.5%(23 ). SNS, SNS. SNS,. SNS
98 4 SNS(Social Network Service) %, 18.5%, , SNS SNS SNS SNS SNS SNS SNS 36(12.5%) 91(31.6%) 124(43.1%) 37(12.9%) 48(14.7%) 170(52.1%) 86(26.4%) 22(6.7%) 7(8.3%) 20(23.8%) 18(21.4%) 39(46.4%) 19(15.3%) 43(34.7%) 39(31.5%) 23(18.5%) ( : ) 288 (100%) 326 (100%) 84 (100%) 124 (100%) 4. SNS SNS 1, 5 5, SNS 2.75, SNS 3.06, SNS 2.17, SNS SNS, SNS (F
99 96 =11.271, p<.01). (Scheffe) SNS SNS, SNS SNS, SNS SNS. SNS SNS, SNS SNS. SNS SNS SNS. SNS SNS SNS * p<.01 F * SNS ( ) ( ) SNS 2.75(.806) a SNS 3.06(.904) b SNS 2.17(.937) c SNS 2.78(1.061) d Scheffe, a c, a b, b c (p<.05).
100 4 SNS(Social Network Service) SNS. SNS 36.2%(148 ). 24.2%(99 ), SNS 20.5%(84 ). SNS 6.8%(28 ), 5.6%(23 ), 2.2%(9 ), 1.7%(7 ), SNS 1.2% (5 ). SNS SNS. SNS, SNS N(%) SNS 84(20.5%) SNS 148(36.2%) SNS 5(1.2%) SNS 28(6.8) 99(24.2%) 23(5.6%) 7(1.7%) 9(2.2%) 6(1.5%) 409
101 98 6. SNS SNS. SNS SNS, SNS. SNS 1, 5 5. SNS 2.73, SNS 3.00, SNS 2.13, SNS SNS F * * p< SNS ( ) SNS SNS SNS ( ) 2.73(.881) a 3.00(.972) b 2.13(1.014) c SNS 2.66(.938) d Scheffe, a b, a c, b c (p<.05). SNS, SNS (F =8.911, p<.01)., (Scheffe) SNS
102 4 SNS(Social Network Service) 99 SNS, SNS SNS SNS., SNS SNS, SNS SNS.. SNS SNS. 1, 5 5, SNS 3.57, SNS 3.24, SNS 3.05, SNS SNS, SNS (F =12.545, p<.01)., (Scheffe) SNS SNS, SNS SNS. SNS SNS SNS. SNS SNS SNS * p<.01 F *
103 SNS ( ) SNS SNS SNS SNS Scheffe, a b, a d (p<.05). ( ) 3.57(.852) a 3.24(.819) b 3.05(.659) c 2.93(.884) d., SNS? 1, 5 5. SNS SNS 2.76, SNS 2.78, SNS 2.76, SNS SNS, SNS (F =2.967, p<.05). (Scheffe) SNS SNS, SNS SNS., SNS SNS SNS. SNS,.
104 4 SNS(Social Network Service) SNS * p<.05 F * SNS ( ) SNS SNS SNS SNS Scheffe, a d, b d (p<.05). ( ) 2.76(.919) a 2.78(.969) b 2.76(.752) c 3.21(.914) d. SNS SNS. SNS SNS. 1, 5, SNS SNS 2.79, SNS 3.36, SNS 2.54, SNS SNS, SNS (F =19.661, p<.01)., (Scheffe) SNS SNS SNS SNS SNS. SNS
105 102 SNS SNS SNS., SNS SNS SNS SNS * p <.01 F * SNS ( ) ( ) SNS 2.79(.930) a SNS 3.36(.947) b SNS 2.54(1.127) c SNS 2.92(.941) d Scheffe, b a, b c, b d (p<.05).. SNS SNS SNS. SNS.. SNS SNS,
106 4 SNS(Social Network Service) %(136 ), 8.6%(35 ), 24.9%(102 ), 1.2%(5 ), 2.2%(9 ), 0.2%(1 ). SNS SNS N(%) 136(33.3%) 35(8.6%) 102(24.9%) 5(1.2%) 9(2.2%) 1(0.2%) 288(100%) SNS SNS 17.5%(57 ), 15.3%(50 ), 4.6%(15 ), 61% (199 ), 0.6%(2 ), 0.9%(3 ). SNS SNS.
107 SNS N(%) 57(17.5%) 50(15.3%) 15(4.6%) 199(61%) 2(0.6%) 3(0.9%) 326(100%) SNS SNS 35.7% (30 ) 13.1%(11 ), 2.4%(2 ), 10.7%(9 ), 3.6%(3 ), 2.4%(2 ), 10.7%(9 ). SNS 4 33 SNS N(%) 30(35.7%) 11(13.1%) 2(2.4%) 9(10.7%) 3(3.6%) 2(2.4%) 9(10.7%) 84(100%)
108 4 SNS(Social Network Service) 105. SNS SNS 16.1%(20 ), 36.3%(45 ), 22.6%(28 ), 19.4%(24 ), 3.2%(4 ), 2.4%(3 ). SNS SNS, SNS N(%) 20(16.1%) 45(36.3%) 28(22.6%) 24(19.4%) 4(3.2%) 3(2.4%) 124(100%). 45.2%(185 ), 54.8%(224 )
109 (45.2%) 224(54.8%). SNS SNS 37.8%(70 ), SNS 15.2%(28 ), 27.6%(51 ), SNS ( ) 18.9%(35 ), 0.5%(1 ). SNS SNS SNS 70(37.8%) SNS 28(15.2%) 51(27.6%) SNS ( / ) N 35(18.9%) 1(0.5%) 185(100%)
110 4 SNS(Social Network Service) SNS 1. 3 SNS., SNS,. 28.7%(311 ), 26.2%(284 ), 18.3%(198 ), 12.5%(136 ), 4.9%(53 ), 4.4%(48 ), 1.4%(15 ), UCC 1.3%(14 ), 2.3%(25 )., ( ) N 311(28.7%) 284(26.2%) 198(18.3%) 136(12.5%) 53(4.9%) 48(4.4%) 15(1.4%) UCC 14(1.3%) 25(2.3%) 1084(100%)
111 SNS 37%(142 ), SNS 36%(138 ), 16.1%(62 ), SNS 8.6%(33 ), SNS 1.0%(4 ), 1.3%(5 ). SNS SMS,. SNS SNS, N SNS 138(36.0%) SNS 142(37.0%) SNS 4(1.0%) SNS 33(8.6%) 62(16.1%) 5(1.3%) 384(100%) 3. SNS SNS 1, 5 5.,
112 4 SNS(Social Network Service) 109 SNS 3.43, SNS 3.23, SNS 3.12, SNS SNS, SNS (F =12.755, p<.01)., (Scheffe) SNS SNS SNS SNS, SNS SNS SNS SNS * p<.01 F * SNS ( ) ( ) SNS 3.43(.690) a SNS 3.23(.698) b SNS 3.12(.782) c SNS 2.98(.743) d 3.25(.726) Scheffe, a b, a c, a d, b d (p<.05).
113 110, SNS, SNS. SNS SNS. SNS.. 1, 5 5, 3.10(.843) SNS SNS ( ) N SNS 164(30.7%) SNS 160(29.9%) SNS 23(4.3%) SNS 51(9.5%) 10(1.9%) 127(23.7%) SNS. SNS 30.7%(164 ), SNS 29.9%(160 ). SNS
114 4 SNS(Social Network Service) %(23 ), SNS 9.5%(51 ). 23.7%(127 ) SNS.. SNS, SNS., 45.4%(193 ), 34.1%(145 ). 13.9%(59 ), 6.1%(26 ), 0.5%(2 ) ( ) N ( ) 145(34.1%) 193(45.4%) 59(13.9%) 26(6.1%) 2(0.5%). SNS SNS. SNS 17.7%(29 ), 82.3%(135 ), SNS 28.1%(45 ), 71.9%(115 ), SNS
115 %(5 ), 78.2%(18 ). SNS 15.7%(8 ), 84.3%(43 ), 30%(3 ), 70%(7 )., SNS, SNS 29(17.7%) 135(82.3%) 164(100%) SNS 45(28.1%) 115(71.9%) 160(100%) SNS 5(21.8%) 18(78.2%) 23(100%) SNS 8(15.7%) 43(84.3%) 51(100%) 3(30%) 7(70%) 10(100%) %(129 ), 68.5%(280 ),, 47.2%(193 ), 52.8%(216 ). 33.3%(136 ), 66.7%(273 ), 80.4%(329 ), 19.6%(80 ). 16.9%(69 ), 83.1%(340 ), 28.9% (118 ), 71.1%(291 ).
116 4 SNS(Social Network Service) 113,,,. 1/3, (31.5%) 280(68.5%), 193(47.2%) 216(52.8%) 136(33.3%) 273(66.7%) 329(80.4%) 80(19.6%) 69(16.9%) 340(83.1%) 118(28.9%) 291(71.1%) 4 SNS SNS 4 SNS SNS. SNS,,,.
117 SNS SNS SNS, ( ), ( ),. 5.. (α).814. SNS, SNS 3.38, SNS. SNS 3.30, SNS 3.27, SNS SNS, (F =12.558, p<.001)., (Scheffe) SNS SNS. SNS SNS SNS * p<.05 F *
118 4 SNS(Social Network Service) SNS ( ) ( ) / ( ) / SNS SNS SNS SNS 3.38(.778) 3.25(.799) 3.01(.871) 3.29(.804) 3.36(.861) 3.22(.789) 2.95((.877) 3.31(.876) 3.62(.817) 3.42(.836) 3.29(.886) 3.31(.859) 3.38(.778) a 3.27(.805) b 2.67(.985) c 3.30(.803) d Scheffe, a c (p<.05). 2. SNS,, 5., (α).903,. SNS SNS 2.83, 2.81, SNS(2.75) SNS(2.25)., SNS (F =1.518, p=209).
119 SNS ( ). SNS SNS SNS SNS 2.83(.975) 2.76(.990) 2.52(.975) 2.94(.931) 2.85(.982) 3.01(1.107) 2.85(.925) 3.19(.968) 2.69(.917) 2.70(.962) 2.70(.941) 3.06(1.050) 2.83(.975) 2.75(1.005) 2.25(.866) 2.81(.932) 3. SNS SNS,,, 3 5. (α).890, SNS., SNS SNS 3.82, SNS 3.40 SNS., SNS (F =12.558, p<.001). (Scheffe) SNS SNS SNS, SNS SNS
120 4 SNS(Social Network Service) 117 SNS. SNS SNS SNS SNS SNS * p<.01 F * SNS ( ) SNS SNS SNS SNS 3.45(.753) 3.86(.790) 3.04(.870) 3.73(.714) 3.41(.791) 3.72(.819) 3.13(.833) 3.80(.754) 3.63(.763) 3.67(.777) 3.21(.793) 3.73(.124) 3.48(.774) a 3.40(.788) b 3.77(.700) c 3.82(.744) d Scheffe, a c d, b c d (p<.05). 4. SNS,,
121 118,,,, 5 5. (α).789,., 3.76,, 3.64, 3.33, 3.45, SNS ( ) ( ) 3.76(.759), 3.64(.816) 3.33(.869) 3.45(.842) 3.75(.812),, 5
122 4 SNS(Social Network Service) 119. (α).791., 3.64, 3.41, 3.24, 3.69, 3.58, 3.86, ( ) ( ) 3.64(.802) 3.41(.856) 3.24(.891) 3.69(.770) 3.58(.740) 3.86(.810) 3.27(.815) 5.,,,
123 120, 4 5., (α).815. SNS 3.52, SNS 3.45, SNS (3.31) SNS., SNS (F =2.487, p=.059) SNS ( ) SNS SNS SNS SNS 3.43(.780) 3.11(.843) 3.10(.873) 3.40(.900) 3.69(.799) 3.45(.906) 3.44(.855) 4.02(.831) 3.07(.957) 2.94(.967) 2.64(.952) 3.00(.963) 3.32(.869) 3.33(.900) 3.01(.799) 3.73(.920) 3.45(.825) 3.31(.900) 3.52(.814) 3.30(.928), SNS,, SNS.
124 4 SNS(Social Network Service) 121 SNS SNS,,, SNS SNS. SNS SNS SNS SNS SNS.516*.448* R².266 SNS SNS.544*.540* R².296 SNS SNS R².064 SNS SNS.402** R².162 SNS.516*.667* R².266* SNS.538*.456* R².289*.336**
125 122 SNS SNS SNS SNS R².049 SNS SNS R².003 SNS.510*.496* R².260* SNS.496*.526* R².246* SNS R².013 SNS R² *.452*.343*.385* R².194*.118* *.613*.456*.607* p<.01* p<.05** R².278*.208*
126 CMC 2 CMC.,..,, (bandwidth) (Daft, Lengel, 1984), (Trevino, Lengel, Bodensteiner, Gerloff, & Muir, 1990).,,,.,. CMC.. SNS,,,.
127 124,.,.. SNS.,,,,, SNS.,,,,.. SNS. SNS. CMC,..,..
128 5 125,,., (Walther, 1993),, 8).., ( ) (Walther, 1996),,.,. (socio contextual cues).,,, (Short et al., 1976). 8),.
129 126, (Short, Williams, & Christie, 1976).,,... SNS,,., SNS (Kim & Yun, 2007).,,,.,,.,,..
130 5 127?.. CMC. 2,.,.,,,,,,..,,,. 1 1,,.....
131 128,...,..,.,,. (unfollow) (weak tie, Putnam, 2000),. PC.,.,, 1.
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133 이용동기 s 정보적동기-정보습득동기 -정보유통동기 s 사회적동기-이슈파악동기 -여론형성동기 s 대인적동기-관계형성동기 -소통/ 대화동기 메시지생산 s 사회적이슈 s 관심주제 s 소소한일상사 마이크로블로그특성 s 콘텐츠 -가벼운콘텐츠 -다양한 / 유용한콘텐츠 -실시간콘텐츠 s 서비스 -확장성 -pc와모바일의연계 s 효과 -정보파급력 -개방형대화 / 소통 -인맥형성 메시지이용 s 리스트관리 - 정보많은트윗 - 관심주제트윗 - 맞팔 / 지인 s 현재글읽기 대인관계형성 + 상대방정보가풍부한만남 + 관계형성의선택권이있는만남 + 편견없는만남 / 부담없는만남 - 약한결속 - 감정전달의어려움 정보공유를통한집단의견의확산,,,
134 5 131.,,.,.,,. 3 SNS SNS SNS SNS. SNS SNS SNS, SNS, SNS. 3 SNS. SNS. SNS, SNS, SNS, SNS., SNS SNS.
135 132 SNS, SNS SNS, SNS. SNS, SNS. SNS., SNS 140,., SNS SNS..,,..,,. SNS. SNS SNS,. SNS.
136 5 133, SNS,,. SNS SNS ,., SNS SNS. SNS. SNS SNS SNS.. SNS SNS. SNS,. SNS SMS,. SNS,..,.. SNS SNS
137 134., SNS, SNS. SNS 140. SNS,., SNS, SNS..,,. 1/3, SNS SNS SNS SNS / / < > > < < SNS SNS SNS SNS
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143 140,, 25-2, ,, UCC,, 25-2, ,,, 2004.,,, 8-3, 1998., (Social Media), 2009 Social Communication Media, ,, 2003., UCC : UCC,, 7-3, ,, 1998., KISDI :,, 2008.,,,, Journal of Information Technology Applications & Management, 14-2, , :,, 44-4, ,, 1, 1-2, ,,, weekly, LG business Insight, Biocca, F., Burgoon,. J., Harms, C., Stoner, M., Criteria and Scope conditions for a
144 141 theory and measure of social presence, In proceedings of Presence 2001, 4th Annual Interactional Workshop, at Temple University, Philadelphia, PA. Carlson, J. R. and Zmud, R. W., Channel Expansion Theory and the Experiential Nature of Media Richness Perceptions, Academy of Management Journal, 42-2, Chidambaram, L., & Jones, B., Impact on Communication Medium and Computer Support on Group Perceptions and Performance: A Comparison of face to face and Dispersed Meetings, MIS Quarterly, 17-4, Daft, R.L., & Lengel, R.H., Information Richness: A new Approach to Managerial Behavior and Organizational Design. Research in Organizational Behavior, 6, Daft, R.L., & Lengel, R.H., Orgrnizational Information Requirement Media Richness and Structural Design, Management Science, 32-5, Daft, R. L., Lengel, R. H., and Trevino, L.K., Message Equivocality, Media Selection, and Manager Performance: Implications for Information Systems, MIS Quarterly, Sep., DMC,, DMC EL Shinnawy, M. and Markus, M. L., Acceptance of Communication Media in Organizations: Richness or Features?, IEEE Transactions on Professional Communication, 41-4, Fortunati, L., The Mobile Phone: Towards New Categories and Social Realtions, Information Communication and Society, Fulk, J., Schmitz, J., and C.W. Steinfield, J., Schmitz, and J.G. Power, Social Information Processing Model of Media Use in Organizations, Communication Research, 14-5, Fulk, J. and Ryu, D., Perceiving Electronic Mail Systems: A Partial Test of the Social
145 142 Information Processing Model, Paper presented to a meeting of the International Communication Association, Dublin Fulk, J., Schmitz, J., and Steinfield, C., A Social Influence Model of Technology Use, In J. Fulk and C. Steinfield(Eds.), Organizations and Communication Technology, Glinter, R.E., & Eldridge, M.A., Y do tngrs luv txt msg? In W. Prinz, M. Jarke, Y. Rogers, K. Schmidt and V. Wulf(eds.), Proceeding of the 7th European conference on computer supported cooperative work ECSCW 2001, Bonn,Germany. Dordrecht, Netherlands: Kluwer Academic Publishers, Hiltz, S.R., & Turoff, M., The network nation. Reading MA: Addison Wesley Hiltz, S.R., Launching a degree program in information systems via Virtual Classroom plus video. Paper presented at the Second Annual International Conference on Asynchronuos Learning Network, Hiltz, S.R., Johnson, K., & Turoff, M., Experiments in group decision making Communication process and outcome in face to face versus computerized conference, Human communication Research, 13, Huang, W., Wei, K.K., Watson, R.T., Lim, L.H., & Bostrom, R., Transforming a Lean CMC Medium into a Rich One : An Empirical Investigation in Small Groups, Proceedings of international conference on information Systems, Cleveland, Ohio, Hughes, A. L. & Palen, L., Twiitter Adoption and Use in Mass Convergence and Emergency Events, Proceedings of the 6th International ISCRAM Conference- Gothenburg, Jones, S., Encyclopedia of new media: An essential reference to communication and technology, 2003., Kayany, J. M., Wotring, C. E., & Forrest, E. J., Relational control and interactive
146 143 media choice in technology mediated communication situations, Human Communication Research, 22, Kiesler, S., Siegel, J., & McGuire, T.W., Social psychological aspects of computer mediated communication, American psychologist, 39, Kim, K & Yun, H., Cying for Me, Cying for Us: Relational Dialectics in a Korean Social Network Site, Journal of Computer Mediated Communication, 44-1, Lee, A. S., Electronic Mail as a Medium for Rich Communication An Empirical Investigation Using Hermeneutic Interpretation, MIS Quarterly, 18-2, Lombard, M. & Ditton, T., At the heart of it all: The concept of presence, Journal of computer Mediated Communication, 3-2, Markus, M. L., Electronic mail as the Medium of Managerial Choice, Organization Science, 5, Mill, J. S., On Liberty, 1859., O Sullivan, P. B., What you don t know won t hurt me: Impression management functions of communication channels in relationships, Human Communication Research, 26, Parks, M. R., & Floyd, K., Making friends in cyberspace, Journal of Communication, 46, Perse, E. M., & Courtright, J. A., Normative images of communication media: Mass and interpersonal channels in the new media environment, Human Communication Research, 19, Putnam, R., Bowling alone: The collapse and revival of civic America, New York: Simon and Schuster, Rice, R.E., & Love, G., Electronic emotion Socioemotional content in a computer mediated communication network, Communication Research, 14,
147 144 Rice, R. E., Media appropriateness: Using social presence theory to compare traditional and new organizational media, Human Communication Research, 19, Rice, R.E., & Shook,D.E., Relationships of Job Categories and Organizational Levels to Use of Communication Channels, Including Electronic Mail: A Meta Analysis and Extension, Journal of management Studies, 27-2, Shirky, C., Here Comes Everybody: The Power of Organizaing Without Organization, Shon, D., & Lee b., Dimensions of interactivity: differential effects of social and psychological factors Journal of Computer-Mediated Communication, 10(3), Steuer, J., Defining Virtual Reality: Dimensions Determining Telepresence, Journal of Communication, 42(4), Stuart, D., Social Media Metrics, Online: Exploring Technology Resources for Information Professionals. 33(6) - November/December, Short, J., Williams, E., & Christie, B., The social psychology of telecommunication, New York: John Wiley & Sons, 1976.Trevino, L.K, Lengel,R.H., & Daft., Media symbolism, media richness, and media choice in organizations. Communication Research, 14, Sproull, L., & Kiesler, S., Reducing social context cues: Electronic mail in organizational communication, Management Science, 32, Trevino, L. K., Webster, J., and Stein, E.W., Making Connections: Complementary Influences on Communication Media Choices, Attitudes, and Use, Organization Science, 11-2, Trevino, L.K., Lengel,. R.H., & Daft, R.L., Media symbolism, media richness, and
148 145 media choice in organizations, Communication Research, 14, Trevino, L., Lengel, R., Bodensteiner, W., Gerloff, E., & Muir, N., The richness imperative and cognitive style: The role of individual difference in media choice behavior, Management Communication Quarterly, 4-2, Utz, S., Social information processing in MUDs: The development of friendships in virtual words, Journal of Online Behavior Online, 1-1, JOB/v1n1/utz.html Walther, J.B., Interpersonal effect in computer mediated interaction: A relational perspective, Communication Research, 19, Walther, J.B., Impression development in computer mediated interaction, Western Journal of communication, 57, Walther, J.B., Computer mediated communication: Impersonal, interpersonal, and hyperpersonal interaction, Communication Research, 23, Walther, J. B., & Burgoon, J. K., Relational communication in computer mediated interaction, Human Communication Research, 19, Walther, J. B., & Burgoon, J. K., Relational communication in computer mediated interaction, Human Communication Research, 19, Walther, J.B., Anderson, J.B., & Park, D.W., Interpersonal effects in Computer mediated interaction: A meta analysis of social antisocial communication, Communication Research, 2, Webster, J. and Trevino, L. K., Rational and Social Theories as Complementary Explanations of Communication Media Choices: Two Policy Capturing Studies, Academy of Management Journal,.38-6, Westmyer, S. A., DiCioccio, R. L., & Rubin, R. B., Appropriateness and effectiveness of communication channels in competent interpersonal communication, Journal of Communication, 48,
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기혼 여성이 사이버대학에서 상담을 전공하면서 겪는 경험 방기연 (고려사이버대학교 상담심리학과 부교수) * 요 약 본 연구는 기혼 여성의 사이버대학 상담전공 학과 입학에서 졸업까지의 경험을 이해하는 것을 목적으로 한 다. 이를 위해 연구참여자 10명을 대상으로 심층면접을 하고, 합의적 질적 분석 방법으로 분석하였다. 입학 전 에 연구참여자들은 고등교육의 기회를
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Journal of Educational Innovation Research 2018, Vol. 28, No. 1, pp.381-404 DOI: http://dx.doi.org/10.21024/pnuedi.28.1.201803.381 A study on Characteristics of Action Learning by Analyzing Learners Experiences
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Journal of Educational Innovation Research 2018, Vol. 28, No. 4, pp.441-460 DOI: http://dx.doi.org/10.21024/pnuedi.28.4.201812.441 A Study on Organizing Software Education of Special Education Curriculum
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Journal of Educational Innovation Research 2018, Vol. 28, No. 3, pp DOI: The Effect of Caree
Journal of Educational Innovation Research 2018, Vol. 28, No. 3, pp.325-349 DOI: http://dx.doi.org/10.21024/pnuedi.28.3.201809.325 The Effect of Career Preparation Behavior Before and After Major Transitions
○ 제2조 정의에서 기간통신역무의 정의와 EU의 전자커뮤니케이션서비스 정의의 차이점은
이동전화시장 경쟁활성화를 위한 MVNO 추진을 바라보며 김원식 1) 1. 들어가며 최근 이동전화의 무선재판매 시장 활성화 등을 위해 정보통신부가 준비한 전기통신사업 법 개정안 공청회에서 무선재판매의무제 관련규정을 둘러싸고 전문가들의 우려와 지적이 상당하였다. 우선 무선재판매 제도 도입의 배경을 살펴보자. 직접적 배경으로는 국내 이동전화 요금에 대한 이용자들의
위해 사용된 기법에 대해 소개하고자 한다. 시각화와 자료구조를 동시에 활용하는 프로그램이 가지는 한계와 이를 극복하기 위한 시도들을 살펴봄으로서 소셜네트워크의 분석을 위한 접근 방안을 고찰해 보고자 한다. 2장에서는 실험에 사용된 인터넷 커뮤니티인 MLBPark 게시판
인터넷 커뮤니티 사용자의 사회 연결망 특성 분석 Analysis Social Network Characteristics Among the Internet Community Users 탁해성 부산대학교 컴퓨터공학과 tok33@pusan.ac.kr Abstract 인터넷이 사람들에게 보급됨에 따라 온라인 환경에서 소통을 하는 사람들이 늘어났다. 온라인 커뮤니티가
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Journal of Educational Innovation Research 2018, Vol. 28, No. 1, pp.405-425 DOI: http://dx.doi.org/10.21024/pnuedi.28.1.201803.405 * A Study on the Perceptions and Factors of Immigrant Background Youth
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OVERVIEW 디트라이브는 커뮤니케이션 환경의 다변화에 대응하기 위한 고객들의 다양한 욕구를 충족시키기 위해, TV광고부터 온라인 광고 및 프로모션과 웹사이트 구축은 물론 뉴미디어까지 아우르는 다양한 IMC 기능을 수행하는 마케팅 커뮤니케이션 회사입니다. 대표이사 설
leads the way to power brand OVERVIEW 디트라이브는 커뮤니케이션 환경의 다변화에 대응하기 위한 고객들의 다양한 욕구를 충족시키기 위해, TV광고부터 온라인 광고 및 프로모션과 웹사이트 구축은 물론 뉴미디어까지 아우르는 다양한 IMC 기능을 수행하는 마케팅 커뮤니케이션 회사입니다. 대표이사 설립일 직원수 주소 연락처 정치헌 2001년
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제19권 제3호 Ⅰ. 문제제기 온라인을 활용한 뉴스 서비스 이용은 이제 더 이 상 새로운 일이 아니다. 뉴스 서비스는 이미 기존의 언론사들이 개설한 웹사이트를 통해 이루어지고 있으 며 기존의 종이신문과 방송을 제작하는 언론사들 외 에 온라인을 기반으로 하는 신생 언론사
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The e-business Studies Volume 17, Number 6, December, 30, 2016:275~289 Received: 2016/12/02, Accepted: 2016/12/22 Revised: 2016/12/20, Published: 2016/12/30 [ABSTRACT] SNS is used in various fields. Although