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Does Internet Use Crowd Out FaceToFace Ties

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Title: Does Internet Use Crowd Out FaceToFace Ties


1
Does Internet Use Crowd Out Face-To-Face Ties?
Hun Myoung Park, Ph.D. University Information
Technology Services Indiana University
2009? 12? 11?
Association for Public Policy Analysis and
Management Research Conference in Washington D.C.
2
Outline
  • Television and Social Capital
  • The Internet and Civic Engagement
  • Internet Use and Face-To-Face Ties
  • Data and Methods
  • Dependent and Independent Variables
  • Findings
  • Conclusion

University Information Technology Services Center
for Statistical and Mathematical Computing
3
Television and Social Capital
  • Putnam (1995) TV erodes social capital
  • Time displacement thesis
  • Mean world thesis
  • Norris (1996) types of media use
  • Shah (1998), Moy et al. (1999)
  • Uslaner (1998) optimism for the future
  • Time for watching TV does not matter

University Information Technology Services Center
for Statistical and Mathematical Computing
4
The Internet and Civic Engagement
  • Putnam (2000) skeptical view
  • Nie and Hillygus (2002) negative
  • Shah et al. (2002) positive
  • Robinson et al. (2002), Wellman et al. (2001)
    both negative and positive
  • Kraut et al. (1998) and Kraut et al. (2002)
    conflicting conclusions
  • What happened?

University Information Technology Services Center
for Statistical and Mathematical Computing
5
The Internet and Civic Engagement
  • Mobilization or transformation theory
  • Reinforcement theory (Davis 1999 Norris 2001)
  • Normalization theory (Bimber 1999 Deli Carpini
    and Keeter 2003 Margolis and Resnic 2000)
  • Sources of mixed results
  • Diversity of civic engagement Weissberg (2005)
  • Measures of Internet use Bimber (2001), DiMaggio
    et al. (2001), Norris (2000), Wellman et al.
    (2001)
  • Causality (reciprocal, virtuous circle?)
    DiMaggio et al. (2001), Norris (2000), Shah
    (1998), Uslaner (1998)

University Information Technology Services Center
for Statistical and Mathematical Computing
6
Internet Use and Face-To-Face Ties
  • Putnam (2000) Limitation of the Internet
  • Digital inequality (digital divide)
  • Less nonverbal and in-depth information
  • Cyberbalkanization
  • Wellman et al. (2001) supplemental role
  • Stromer-Galley (2000) computer mediated human
    interaction and media interaction
  • Weiser (2001) Socio-affective regulation and
    goods-and-information acquisition
  • Zhao (2006) social and nonsocial use

University Information Technology Services Center
for Statistical and Mathematical Computing
7
Research Questions?
  • Internet use crowds out face-to-face ties?
  • Any change in face-to-face ties over time?
  • Types of Internet services matter?
  • Time spent for email
  • Time spent for WWW use
  • Modes (purposes) of Internet use make any
    difference?
  • Deliberation and information
  • Entertainment (e.g., music, movies, games)

University Information Technology Services Center
for Statistical and Mathematical Computing
8
Data and Methods
  • General Social Survey
  • Trend analyses (1972-2008)
  • Statistical Modeling (2000-2004)
  • Recoding problems in 2000 and 2002 data
  • Ordinary Least Squares (OLS)
  • Negative Binomial Regression Model for the number
    of memberships

University Information Technology Services Center
for Statistical and Mathematical Computing
9
Dependent and Independent Variables
  • Dependent Variables
  • Spending social evenings
  • People staying in contact with
  • The number of memberships
  • Independent Variables
  • Types of Internet services
  • Modes (purposes) of Internet use
  • Covariates (education, family income, gender,
    race, marital status, etc.)

University Information Technology Services Center
for Statistical and Mathematical Computing
10
Internet Penetration (Pew Internet)
University Information Technology Services Center
for Statistical and Mathematical Computing
11
Finding No Change in Ties Over Time
  • No change in spending social evenings with
    relatives, neighbors, friends
  • No change in the number of friends and relatives
    staying in contact with
  • No significant change in the number of
    organizations that a citizen gets involved
  • No change in helpfulness, fairness, and
    trustworthiness as well
  • No slash or jump before and after the end of the
    1990s. Then

University Information Technology Services Center
for Statistical and Mathematical Computing
12
Helpfulness, Fairness, Trust
University Information Technology Services Center
for Statistical and Mathematical Computing
13
Spending Social Evening
University Information Technology Services Center
for Statistical and Mathematical Computing
14
Staying in Contact with
University Information Technology Services Center
for Statistical and Mathematical Computing
15
The Number of Memberships
University Information Technology Services Center
for Statistical and Mathematical Computing
16
Finding Spending Social Evening
  • Types of Internet services not matter
  • Modes of Internet use not matter
  • Education
  • Age
  • Marital status
  • Attendance at religious services

University Information Technology Services Center
for Statistical and Mathematical Computing
17
Spending Social Evenings
University Information Technology Services Center
for Statistical and Mathematical Computing
18
Finding Staying in Contact with
  • Email use has a positive impact
  • WWW has a negative effect
  • Positive impact of deliberative purpose
  • No effect of entertainment purposes
  • Education and attendance at religious services
    are positively related
  • Gender (female) and race (white) have positive
    effects

University Information Technology Services Center
for Statistical and Mathematical Computing
19
Staying in Contact
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for Statistical and Mathematical Computing
20
The Number of Membership
University Information Technology Services Center
for Statistical and Mathematical Computing
21
Finding The Number of Memberships
  • Email and overall WWW uses not matter
  • Deliberative use of WWW has a positive impact
  • Education and attendance at religious services
    are positively related.
  • Many zeros issue (over-dispersion)
  • Heavier deliberative use of WWW have less zeros
    than lighter use

University Information Technology Services Center
for Statistical and Mathematical Computing
22
University Information Technology Services Center
for Statistical and Mathematical Computing
23
Conclusion
  • Preliminary analysis
  • No significant decline and increase in
    face-to-face ties over times
  • Spending social evenings Internet use not matter
    much
  • Staying in contact with friends and relatives
    email use and deliberative WWW use have positive
    effects as communication tools
  • The number of memberships deliberative WWW use
    positively related
  • Any dynamics in generations? Probably not
  • Causality Issue

University Information Technology Services Center
for Statistical and Mathematical Computing
24
University Information Technology Services Center
for Statistical and Mathematical Computing
25
University Information Technology Services Center
for Statistical and Mathematical Computing
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