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Content Creation on the Internet
A Social Cognitive Perspective on the Participation Divide
Christian Hoffmann, Christoph Lutz, Miriam Meckel
ICA Annual Conference 2014
Seattle, Washington
26 May 2014
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 2
From the Digital Divide

Many people have access to the Internet
and go online regularly.
Offliner Onliner
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 3

To The Participation Divide
ParticipantNon-Participant
Few(er) make use of the web’s participatory potential.
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 4
From the Digital to the Participation Divide
‱ Online media facilitate public self-expression (Ellison, Steinfield, & Lampe, 2007; Kane,
Alavi, Labianca, & Borgatti, 2013).
‱ Social media, especially, make it easy for lay users to publish content and
make it accessible to a global audience (Blank & Reisdorf, 2012; Correa, 2010; Hargittai &
Walejko, 2008; Schradie, 2011).
‱ Internet use is associated with both online and offline political participation
(Boulianne, 2009; Towner & Dulio, 2011; Vitak et al., 2011).
‱ Socio-demographics have been shown to differentiate web use, online
skills, and online as well as offline participation (Hargittai, 2002, 2010; Hargittai &
Hinnant, 2008; van Deursen & van Dijk, 2010; van Dijk, 2005; Zillien & Hargittai, 2009).
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 5
Previous Research on the Participation Divide
Hargittai & Walejko (2008)
Age, skills and SES predict online content creation (4 types of content tested).
Correa (2010)
Psychological factors and demographics predict online content creation, SES does
not (aggregates 10 different types of content into one measure).
Schradie (2011)
SES affects user propensity to create and share content, effects differ by online
activity (focus on activities rather than content type)-
Blank (2013)
SES affects user propensity to create and share content, effects differ by online
activity (3 types of content: skilled, social & entertainment, political).
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 6
Some Limitations of Previous Research
1) Student Samples
2) Focus on USA
3) Reliance on Regression
4) Poor or no distinction of content forms: lack
of theoretical underpinning
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 7
Social Cognitive Theory
Environment
Personal
Dispositions
Behavior
Demographics:
Age, Gender,
Education
Cognitive Attributes:
Privacy Concerns,
Self-Efficacy
Online Content
Creation:
Social, Skilled,
Political
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 8
Hypothesis
Online self-efficacy and privacy concerns mediate
the impact of demographics on online content
creation.
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 9
Model 1: Only Direct
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 10
Model 2: Fully Mediated
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 11
Model 3: Partially Mediated
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 12
Data and Method
‱ Online survey with 1488 participants.
‱ Representative distribution of gender, age and region of German
Internet population, slight overrepresentation of highly educated
users.
‱ Measures: Online Content Creation (Blank, 2013), Self-Efficacy
(Compeau et al., 1999; Venkatesh et al., 2003; Venkatesh & Bala,
2008), Privacy Concerns (Malhotra et al., 2004).
‱ Structural Equation Modeling: Cronbach’s α, CR and AVE all above
threshold.
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 13
Model 1: Only Direct
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 14
Model 2: Fully Mediated
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 15
Model 3: Partially Mediated
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 16
Main Findings
‱ Cognitive constructs partially mediate the
influence of demographics on content creation.
‱ Different types of content are affected differently
by demographics and cognitive constructs.
‱ Self-efficacy depends heavily on demographics.
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 17
Limitations
‱ Cross-sectional and quantiative study.
‱ Only two cognitive constructs considered.
‱ Not an exhaustive typology of online content.
‱ Only one country considered.
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 18
Thanks for Your
Attention
Institute for Media and Communications Management
University of St. Gallen
Blumenbergplatz 9
CH-9000 St. Gallen
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 19
References
Blank, G. (2013). Who creates content? Stratification and content creation on the
Internet. Information, Communication & Society, 16(4), 590-612.
Compeau, D., Higgins, C.A. & Huff, S. (1999). Social Cognitive Theory and Individual
Reactions to Computing Technology: A Longitudinal Study. MIS Quarterly, 23(2),
145-158.
Correa, T. (2010). The Participation Divide Among “Online Experts”: Experience,
Skills and Psychological Factors as Predictors of College Students’ Web Content
Creation. Journal of Computer-Mediated Communication, 16(1), 71–92.
Hargittai, E. & Walejko, G. (2008). The participation divide: Content creation and
sharing in the digital age. Information, Communication & Society, 11(2), 239–256.
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 20
References
Malhotra, N. K., Kim, S. S., & Agarwal, J. (2004). Internet Users’ Information Privacy
Concerns (IUIPC): The Construct, the Scale, and a Causal Model. Information
Systems Research, 15(4), 336–355.
Schradie, J. (2011). The digital production gap: The digital divide and Web 2.0
collide. Poetics, 39(2), 145–168.
Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research
Agenda on Interventions. Decision Sciences, 39(2), 273-315.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of
information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Beteiligung im Internet
PrÀsentation Christoph Lutz
Seite 21
Construct Item Wording (Scale)
Skilled Content Creation
(SCC)
SCC1
SCC2
SCC3
I comment content that other people have published.
I publish my own texts and comments on the Internet.
I discuss actively in online communities.
Social and Entertainment
Content Creation (ECC)
ECC1
ECC2
ECC3
Social network sites (e.g. Facebook, XING).
Media platforms (e.g. Youtube, Flickr).
I share photos and videos I created on the web.
Political Content Creation
(PCC)
PCC1
PCC2
PCC3
PCC4
I like and share political content on the Internet.
I publish commentaries about political topics on the Internet.
I try to persuade others online to become politically active.
I actively participate in a political online group or online community
Privacy Concerns (PC) PC1
PC2
PC3
All things considered, the Internet would cause serious privacy problems.
Compared to others, I am more sensitive about the way online companies handle my
personal information.
To me, it is the most important thing to keep my privacy intact from online companies.
Online Self-efficacy
(OSE) OSE1
OSE2
How well do you think you are able to


publish information on a blog or on Twitter?

publish a video on the Internet (e.g. on Youtube)?

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Content Creation on the Internet and the Participation Divide in Germany

  • 1. Content Creation on the Internet A Social Cognitive Perspective on the Participation Divide Christian Hoffmann, Christoph Lutz, Miriam Meckel ICA Annual Conference 2014 Seattle, Washington 26 May 2014
  • 2. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 2 From the Digital Divide
 Many people have access to the Internet and go online regularly. Offliner Onliner
  • 3. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 3 
To The Participation Divide ParticipantNon-Participant Few(er) make use of the web’s participatory potential.
  • 4. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 4 From the Digital to the Participation Divide ‱ Online media facilitate public self-expression (Ellison, Steinfield, & Lampe, 2007; Kane, Alavi, Labianca, & Borgatti, 2013). ‱ Social media, especially, make it easy for lay users to publish content and make it accessible to a global audience (Blank & Reisdorf, 2012; Correa, 2010; Hargittai & Walejko, 2008; Schradie, 2011). ‱ Internet use is associated with both online and offline political participation (Boulianne, 2009; Towner & Dulio, 2011; Vitak et al., 2011). ‱ Socio-demographics have been shown to differentiate web use, online skills, and online as well as offline participation (Hargittai, 2002, 2010; Hargittai & Hinnant, 2008; van Deursen & van Dijk, 2010; van Dijk, 2005; Zillien & Hargittai, 2009).
  • 5. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 5 Previous Research on the Participation Divide Hargittai & Walejko (2008) Age, skills and SES predict online content creation (4 types of content tested). Correa (2010) Psychological factors and demographics predict online content creation, SES does not (aggregates 10 different types of content into one measure). Schradie (2011) SES affects user propensity to create and share content, effects differ by online activity (focus on activities rather than content type)- Blank (2013) SES affects user propensity to create and share content, effects differ by online activity (3 types of content: skilled, social & entertainment, political).
  • 6. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 6 Some Limitations of Previous Research 1) Student Samples 2) Focus on USA 3) Reliance on Regression 4) Poor or no distinction of content forms: lack of theoretical underpinning
  • 7. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 7 Social Cognitive Theory Environment Personal Dispositions Behavior Demographics: Age, Gender, Education Cognitive Attributes: Privacy Concerns, Self-Efficacy Online Content Creation: Social, Skilled, Political
  • 8. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 8 Hypothesis Online self-efficacy and privacy concerns mediate the impact of demographics on online content creation.
  • 9. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 9 Model 1: Only Direct
  • 10. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 10 Model 2: Fully Mediated
  • 11. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 11 Model 3: Partially Mediated
  • 12. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 12 Data and Method ‱ Online survey with 1488 participants. ‱ Representative distribution of gender, age and region of German Internet population, slight overrepresentation of highly educated users. ‱ Measures: Online Content Creation (Blank, 2013), Self-Efficacy (Compeau et al., 1999; Venkatesh et al., 2003; Venkatesh & Bala, 2008), Privacy Concerns (Malhotra et al., 2004). ‱ Structural Equation Modeling: Cronbach’s α, CR and AVE all above threshold.
  • 13. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 13 Model 1: Only Direct
  • 14. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 14 Model 2: Fully Mediated
  • 15. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 15 Model 3: Partially Mediated
  • 16. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 16 Main Findings ‱ Cognitive constructs partially mediate the influence of demographics on content creation. ‱ Different types of content are affected differently by demographics and cognitive constructs. ‱ Self-efficacy depends heavily on demographics.
  • 17. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 17 Limitations ‱ Cross-sectional and quantiative study. ‱ Only two cognitive constructs considered. ‱ Not an exhaustive typology of online content. ‱ Only one country considered.
  • 18. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 18 Thanks for Your Attention Institute for Media and Communications Management University of St. Gallen Blumenbergplatz 9 CH-9000 St. Gallen
  • 19. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 19 References Blank, G. (2013). Who creates content? Stratification and content creation on the Internet. Information, Communication & Society, 16(4), 590-612. Compeau, D., Higgins, C.A. & Huff, S. (1999). Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study. MIS Quarterly, 23(2), 145-158. Correa, T. (2010). The Participation Divide Among “Online Experts”: Experience, Skills and Psychological Factors as Predictors of College Students’ Web Content Creation. Journal of Computer-Mediated Communication, 16(1), 71–92. Hargittai, E. & Walejko, G. (2008). The participation divide: Content creation and sharing in the digital age. Information, Communication & Society, 11(2), 239–256.
  • 20. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 20 References Malhotra, N. K., Kim, S. S., & Agarwal, J. (2004). Internet Users’ Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model. Information Systems Research, 15(4), 336–355. Schradie, J. (2011). The digital production gap: The digital divide and Web 2.0 collide. Poetics, 39(2), 145–168. Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273-315. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
  • 21. Beteiligung im Internet PrĂ€sentation Christoph Lutz Seite 21 Construct Item Wording (Scale) Skilled Content Creation (SCC) SCC1 SCC2 SCC3 I comment content that other people have published. I publish my own texts and comments on the Internet. I discuss actively in online communities. Social and Entertainment Content Creation (ECC) ECC1 ECC2 ECC3 Social network sites (e.g. Facebook, XING). Media platforms (e.g. Youtube, Flickr). I share photos and videos I created on the web. Political Content Creation (PCC) PCC1 PCC2 PCC3 PCC4 I like and share political content on the Internet. I publish commentaries about political topics on the Internet. I try to persuade others online to become politically active. I actively participate in a political online group or online community Privacy Concerns (PC) PC1 PC2 PC3 All things considered, the Internet would cause serious privacy problems. Compared to others, I am more sensitive about the way online companies handle my personal information. To me, it is the most important thing to keep my privacy intact from online companies. Online Self-efficacy (OSE) OSE1 OSE2 How well do you think you are able to
 
publish information on a blog or on Twitter? 
publish a video on the Internet (e.g. on Youtube)?