Title: Does Internet Use Crowd Out FaceToFace Ties
1Does 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.
2Outline
- 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
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for Statistical and Mathematical Computing
3Television 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
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for Statistical and Mathematical Computing
4The 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?
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for Statistical and Mathematical Computing
5The 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)
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6Internet 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
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for Statistical and Mathematical Computing
7Research 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)
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for Statistical and Mathematical Computing
8Data 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
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for Statistical and Mathematical Computing
9Dependent 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.)
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for Statistical and Mathematical Computing
10Internet Penetration (Pew Internet)
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for Statistical and Mathematical Computing
11Finding 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
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12Helpfulness, Fairness, Trust
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for Statistical and Mathematical Computing
13Spending Social Evening
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for Statistical and Mathematical Computing
14Staying in Contact with
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15The Number of Memberships
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16Finding Spending Social Evening
- Types of Internet services not matter
- Modes of Internet use not matter
- Education
- Age
- Marital status
- Attendance at religious services
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17Spending Social Evenings
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for Statistical and Mathematical Computing
18Finding 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
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for Statistical and Mathematical Computing
19Staying in Contact
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20The Number of Membership
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21Finding 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
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23Conclusion
- 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
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