「SNSにおける自己開示とプライバシー・パラドックス」（論文）

SNS
SNS
SNS
SNS
In recent years, as the rapid diffusion of SNS, huge amount of personal information has been
distributed in society, resulting in many cases of privacy infringement. Although general privacy
concerns are high, disclosures of personal information on SNS are increasing, which is currently
known as “ privacy paradox”. In this study, the author conducted a survey to university students and
testified the privacy paradox hypothesis. The result shows that the privacy concerns can be measured
in a one-dimensional scale and that the privacy concerns were stronger in women than in men. Those
who take care of their privacy are more likely to take protective action to other’s privacy than those
less take protective actions. There were no significant relations between privacy concerns and selfdisclosure on SNS, which suggests the existence of privacy paradox. While those who had high
privacy concerns tended to take privacy protective actions in their daily life, which are contradictory to
1
privacy paradox hypothesis. In sum, this study showed no consistent phenomenon of privacy
paradox. There may be a lot of factors for determining the privacy paradox. Therefore, future research
is needed, expanding sample subjects and including multiple factors in the analysis.
SNS
Facebook
twitter
1
Barnes, 2006; Norberg et al.,2007; Utz and Kramer, 2009; Boyd and Hargittai, 2010;
Oetzel and Gonja, 2011; Baek, 2014
SNS
Acqisiti and Gross, 2006; Tufekci, 2008; Dihnlin
and Trepte, 2014; Taddicken, 2014
2
Facebook
2010
1
Barnes(2006)
Boyd(2014)
2
Tufekci (2008) Dihlin and Trepte
595
Facebook
(Debatin et al., 2009
)
2
(Blank et al, 2015)
Facebook
3
SNS
SNS
SNS
SNS
2015
263
SNS
38 45.2 19
25.5 20
62
19 21 24
10.3
19
1.! SNS
SNS
Twitter
Facebook
SNS
SNS
Facebook
Twitter
Facebook
34.7%
Twitter
Facebook
SNS
Facebook
0.9%
Twitter
2015
7
38.1%
Facebook
1
3
95.3%
3
77.4
54.7
35.8
30.2
21.7
18.9
17
15.1
12.3
9.4
9.4
0
10
20
30
40
50
60
70
80
90
1 Facebook
Twitter
61.1% 35.1%
Twitter
Facebook
2
Facebook
68.9%
Twitter
57.5%
Facebook
Twitter
14.6%
Twitter
26.4%
Facebook
Facebook
Twitter
Twitter
4
0
10
20
30
40
50
60
42.3
5.7
10
2.8
3.3
Facebook
51.9
28.5
14.2
4.7
36.8
42.5
80.8
22.2
17.2
11.3
23
Twitter
2 Facebook Twitter
2.!
12
1
1
5
90
57.5
14.6
5.7
80
68.9
26.4
2.8
0.8
2.8
1.3
2.8
70
12
2
Pearson
0.556
12
Cronbach
0.925
0
4
12
t
, p<o.o5
(2013)
37.3% 55.1% 7.6%
46.4% 49.8% 3.8%
2
; p<0.001
2
6
3.!
SNS
Facebook
Twitter
SNS
3
3
Facebook
4
Twitter
4
Facebook
Facebook
Twitter
Twitter
7
4
SNS
Facebook
Twitter
Facebook
56.6% 24.5%
Twitter
18.9% 57.6% 22.6% 19.3%
5
4
5
Facebook
6
Twitter
6
Dihnin & Trenpte(2014) 595
SNS
5
boyd and Hrgittai(2010)
Facebook
2009
2010
Facebook
8
Facebook
7
=20.9; p<0.001
4.!
(Boyd and
6
Hargittai, 2010; )
6
Boyd and Hargittai(2010)
Facebook
9
8 9
(
; p<0.01)
(
; p>0.05)
SNS
8
9
5.!
(Gross
and Acquisiti, 2005; Barnes, 2006; Baek, 2014)
(Barnes, 2006; Gross and Acquisti, 2005;
10
Nordenberg et al., 2007)
(Hargittai, 2009; Park, 2011) (Xu et a., 2011) (Marvick and boyd, 2011) 7
(Taddicken,2014)
SNS
Taddicken (2014) SNS
Facebook
Twitter
40.3%
90.9%
Facebook
7
Debatin
(2008)
119
Facebook
Davison(1983)
11
6.!
Blank
(Blank et al., 2015)
Oxford Internet Study (OxIS)
SNS
43
26
Blank
Barnes
2006
SNS
(Bank, 2015)
SNS
12
Blank
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