The Social Capital Effects: Resources, Tie Strength, & Digital Divides

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The Social Capital Effects Resources, Tie Strength, & Digital Divides Wenhong Chen UT Austin

description

More than 20 percent of Americans still have no access to the Internet. How to get them connected is critical to narrowing the digital divides. Drawing on a two-wave national panel dataset, this paper examines the implications of social capital for Internet access and use. Results demonstrate social capital facilitates Internet access and use. In particularly, resource-rich bonding social capital helps overcome the digital divides both in access, general use, and online communication. Before the Internet can revitalize social capital, there must be the right social capital in place to close the digital divides. Highlighting the effect of social connectivity on digital connectivity, the findings have important implications for policymakers and practitioners.

Transcript of The Social Capital Effects: Resources, Tie Strength, & Digital Divides

Page 1: The Social Capital Effects: Resources, Tie Strength, & Digital Divides

The Social Capital EffectsResources, Tie Strength, & Digital Divides

Wenhong ChenUT Austin

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Just in case (source: PEW; ISI Web of Knowledge)

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Macro-level: social structural context • Level of socioeconomic development • Governmental policy• NGO/ International development initiatives• Technological infrastructure• Culture

Individual• SES• Gender• Ethnicity• Life-stage• Language

Level of analysis Chen and Wellman 2005

macro

meso

micro

Meso-level• Community resources• Organizations• Social capital

Access

Causes ConsequencesDigital Divides

Use

Meso-level• Social network/Social capital• Civic engagement

Individual• Psychological well-being• Labor market performance • Entrepreneurial activities • Human capital • Cultural capital

Societal Impact• Socioeconomic development• Social inclusion

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• Information want-nots or information have-nots (van Dijk 2006) • Technically and socially disconnected with the Internet

– More than 80% of nonusers have no household members using the Internet (Smith 2010).

– About two-thirds of American households without broadband access have no household members using the Internet at any place (NTIA 2010).

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A Heated Debate

Social CapitalInternet

Access & Use

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The Other Direction

Social CapitalInternet

Access & Use

• The diffusion literature (Rogers 1962; Valente 1995)• Prerequisite (Putnam 2000)• Network externality (DiMaggio and Cohen 2003)

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The Network Source of Social Capital

• Social structure that facilitates or constrains an individual’s instrumental or expression action due to – Network membership (Putnam, Bourdieu)– Network structure (Coleman, Burt)– Network resources (Lin, Erickson)

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Bonding/Bridging Strong/Weak TiesDef Strength Weakness

Strong Ties

Ties people feel close to Involve emotional bond,

trust, and reciprocity Require more time,

energy, and commitment to nurture

Attitude & Identity Solidarity Social support Fine-grained info Tacit knowledge Collaboration

Redundant info

Isolation Legitimacy

discount

Weak Ties

Ties people do not feel close to

only communicate occasionally with

Fresh information Diverse perspective Cognitive flexibility

Not all weak ties bridge

(Putnam, Granovetter, Marsden, Burt, Uzzi etc. )

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Good and bad social capital• The embedded resources in one’s social network

– affects the outcome of social action (Lin 2001; Lin and Dumin 1986)

– social capital without embedded resources = bridge to nowhere (Portes 1998; Portes and Landolt 1996; Smith 2005)

• Good social capital– potential benefits generated from links to resource-rich

contacts • connections to people with high occupational status

• Bad social capital– cost and liabilities generated from links to resource-poor

contacts• connections with low occupational status (Hsung and Breiger

2008)

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Bonding

Bridging

Bad

Access &

Use

+

+

+

_

Good

SES

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Good Bonding

Bad Bonding

Bad Bridging

Access &

Use

Good Bridging

+

+

_

_

SES

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Data and Analysis

• Social Capital in the US Survey– a national random digit dial telephone survey of currently

or previously employed Americans aged from 22 to 65

• Wave 1 2004/2005: N=3000, RR=43%• Wave 2 2007: N=941, RR=31%• Weighted

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ego

GSS Name Generator

ego

Position Generator

Measuring social networks

• The Name Generator core discussion networks – an artificial limit ; GSS: 5 alters, discussed important matters – small, strong tie centered, dense, & homogeneous (Marsden 1987)

• The Position Generator the broader networks – alters who fill a variety of positions– sampled from a full list of all occupations– more effective in capturing weak ties (Erickson 2004)– content free (Van der Gaag 2004) Adapted from James Moody and Nan Lin

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The Position GeneratorPosition Wave 1

Nurse 75%Lawyer 62%Hair Dresser 61%Policeman 52%Computer Programmer 52%Teacher 51%Farmer 47%Receptionist 41%Professor 41%Bookkeeper 39%Janitor 34%Personnel Manager 33%Administrative Assistant 30%Factory Operator 27%Babysitter 27%Writer 25%Security Guard 22%CEO 20%Production Manager 16%Congressman 11%Taxi Driver 7%Hotel Bell Boy 2%

• I am going to ask some general questions about jobs some people you know may now have. These people include your relatives, friends and acquaintances (acquaintances are people who know each other by face and name). If there are several people you know who have that kind of job, please tell me the one that occurs to you first. Is there anyone you know who is a _____?

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Bonding

Bridging

Bad

Access

+

+

+

_

Good

SES

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Good Bonding

Bad Bonding

Bad Bridging

Access

Good Bridging

+

+

_

_

SES

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Bonding

Bridging

Bad

Use

+

+

+

_

Good

SES

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Good Bonding

Bad Bonding

Bad Bridging

Use

Good Bridging

+

+

_

_

SES

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Summary

Social Capital Internet Access

Online Communication

Bonding H1a H1b + Bridging H2a + H2b Good H3a + H3b Bad H4a - H4b Good Bonding H5a + H5b + Good Bridging H6a + H6b Bad Bonding H7a - H7b Bad Bridging H8a - H8b

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Implications

Internet Access & UseSocial Capital

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• Longitudinal data• Refined analysis of social capital• Information want-nots good bonding

social capital have-nots

Findings & Contribution

• Richer information on Internet use and tangible impacts on human, cultural, and social capital.

• Access beyond home (e.g., workplace and community anchor institutions)

• Process: exposure; support; peer influence

Future Research

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Related Paper

• Chen, Wenhong. “The Impacts of Social Capital on the Digital Divides in America.” The Information Society 29(1):13-25.