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An evaluation of the potential of Web 2.0 API's for social research

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Ghent University

Mechant, P. & Courtois, C. (2011). An evaluation of the potential of Web 2.0 API's for social research. In: COST Action ISO906 : New challenges and methodological innovations in European Media Audience Research, Zagreb, Croatia, 2011-04-07. 43-44.

TechnologyBusiness
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Cédric Courtois and Peter Mechant IBBT-MICT-Ghent University Using API’s in Web 2.0 user research: The case of networked public expectancies and feedback preferences on YouTube
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[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Subsequent quantitative phase: operationalization and testing of qualitative results
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Phase 2: quantitative study (results) The majority of findings in the qualitative phase are supported Hypotheses Evidence H1a: Offline public > Online publics ✓ and ✗ Within-subjects ANOVA H1b: Identified publics > Unidentified public ✓ H2a: Identified offline public expectancy  Offline and off-platform online feedback importance (+) ✓ Structural Equation Modeling H2b: Identified online public expectancy  On- and off-platform online feedback importance (+) ✓ H2c: Identified offline public expectancy  On-platform online feedback importance (+) ✗ @  2 (108, N = 450 ) = 223.29, p < .001, CFI = .98, TLI = .97, RMSEA = .05, CI 90 .04, .06
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[object Object],[object Object],[object Object],[object Object],T1 = after filling out survey T2 = one month later T3 = two months later Separate models for views, comments and rates
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[object Object],[object Object],[object Object],[object Object],Thank you for listening… Any questions? Contact: cedric.courtois@ugent.be, www.mict.be

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An evaluation of the potential of Web 2.0 API's for social research

  • 1. Cédric Courtois and Peter Mechant IBBT-MICT-Ghent University Using API’s in Web 2.0 user research: The case of networked public expectancies and feedback preferences on YouTube
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  • 9. Phase 2: quantitative study (results) The majority of findings in the qualitative phase are supported Hypotheses Evidence H1a: Offline public > Online publics ✓ and ✗ Within-subjects ANOVA H1b: Identified publics > Unidentified public ✓ H2a: Identified offline public expectancy  Offline and off-platform online feedback importance (+) ✓ Structural Equation Modeling H2b: Identified online public expectancy  On- and off-platform online feedback importance (+) ✓ H2c: Identified offline public expectancy  On-platform online feedback importance (+) ✗ @  2 (108, N = 450 ) = 223.29, p < .001, CFI = .98, TLI = .97, RMSEA = .05, CI 90 .04, .06
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