Theoretical Implications ofDigital Trace Data                                                Insight From the Development ...
Overview✤   Project Overview✤   Research Questions✤   Implications✤   Reflections and Insights✤   Conclusions
The Project✤   Android app✤   Anonymizes log data✤   Data is encrypted and    uploaded✤   Onscreen surveys✤   Collaboratio...
CommunicationExplorer✤   Panel participants    ✤   310 adults in Japan    ✤   232 adults in the USA✤   Log data    General...
RelationshipImprover✤   Experimental design    ✤   100 adults in Japan    ✤   100 adults in the USA✤   Also free download ...
Phone Log Data
MethodologicalQuestionsSelf-Report vs. Log Data✤   What’s wrong with self-report?✤   Can self-report be improved?
ImmediateImplications✤   Literature analysis    40% mobile comm. journal    publications use these self-    report measure...
LargerImplications✤   Self-report measures are highly    limiting✤   Advancement of empirical    quantitative research imp...
TheoreticalQuestionsMobile CommunicationNetworks✤   Mobile media multiplexity or    a division of mobile media?✤   How rhy...
ImmediateImplications✤   Bonding & bridging are    commonly used concepts✤   But they are operationalized in    a variety ...
LargerImplications✤   But does it make sense to    operationalize existing    concepts using only behaviour?✤   Will theor...
Conclusion✤   The project highlights the weakness of self-report✤   This project has led us to question and rethink core c...
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Boase, J., & Kobayashi, T. (2012). Theoretical Implications of Digital Trace Data: Insight From the Development of a Mobile Smartphone Application. Presented at the Social Science and Digital Research: Interdisciplinary Insights symposium. March 12.

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This paper was presented at the Social Science and Digital Research: Interdisciplinary Insights symposium held at Oxford University on March 12, 2012. The symposium was organized by the Oxford Internet Institute.

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  • Explain CS & IS role\nInterdisciplinary? \nYes: we work in different disciplines\nNo: each of us has training and publishes in venues of different disciplines \nLess scholars from different disciplines who collaborate\nMore we are both interdisciplinary scholars who are collaborating\n
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  • - NHK story\n
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  • Self-Report vs. Log Data: - self-report = mobile use \n- mobile use = frequency \n\nWhat’s wrong with self-report?- over under-reporting random = okay\n- over under-reporting non-random = not okay\n\nCan self-report be improved? - compensate/develop weights via demographics\n\n
  • Results: respondents tend to over-report\nDemographics: few associations -- difficult to compensate \nOver-reporting can have spurious affects: inflates correlation between mobile phone use & civic participation\nResults robust across Japan and the US\n
  • Collaboration with CS and IS \npermits a possible cumulating of knowledge \n
  • Mobile media multiplexity or - Multiplexity: texting + voice = maintain same ties?\na division of mobile media?- Division: texting = monadic clusters & voice = bridging\n\nDoes relational role predict - rational role via phone book\ninteraction?- predict to frequency & duration of interaction using relational role?\n\nHow rhythmic are ties?- predicting to regularity of contact OR predictability of contact\n- relational role & duration of contact may be predictors\n\n
  • Bonding/Bridging: - Sociology: Lin focuses on KNOWING people in diverse Occupation\n- Political science: Putnam: like mindedness & organizational engagement\n- Communication: Ellison & Lampe: self-report of interaction preference\n\nPre-condition of related outcomes: e.g. access to new information - must communicate to access\n
  • Yes: we want to build on existing scholarship\nNo: existing scholarship often includes cognition & behaviour\n
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  • Boase, J., & Kobayashi, T. (2012). Theoretical Implications of Digital Trace Data: Insight From the Development of a Mobile Smartphone Application. Presented at the Social Science and Digital Research: Interdisciplinary Insights symposium. March 12.

    1. 1. Theoretical Implications ofDigital Trace Data Insight From the Development of a Mobile Smartphone ApplicationJeffrey Boase, Ryerson University, CanadaTetsuro Kobayashi, National Institute of Informatics, JapanSocial Science And Digital Research: Interdisciplinary Insights SymposiumOxford Internet Institute, March 12th, 2012
    2. 2. Overview✤ Project Overview✤ Research Questions✤ Implications✤ Reflections and Insights✤ Conclusions
    3. 3. The Project✤ Android app✤ Anonymizes log data✤ Data is encrypted and uploaded✤ Onscreen surveys✤ Collaboration of... Computer & Info. Scientists Social Psychologist Communication Researcher
    4. 4. CommunicationExplorer✤ Panel participants ✤ 310 adults in Japan ✤ 232 adults in the USA✤ Log data General survey data Pop-up survey data
    5. 5. RelationshipImprover✤ Experimental design ✤ 100 adults in Japan ✤ 100 adults in the USA✤ Also free download in app store (NHK)✤ Interact with network graph✤ App suggests people to contact✤ Log & pop-up survey data
    6. 6. Phone Log Data
    7. 7. MethodologicalQuestionsSelf-Report vs. Log Data✤ What’s wrong with self-report?✤ Can self-report be improved?
    8. 8. ImmediateImplications✤ Literature analysis 40% mobile comm. journal publications use these self- report measures (Boase & Ling)✤ Internet researchers use similar self-report measures✤ Results: non-random error✤ Demographics only help identify over-reporting slightly
    9. 9. LargerImplications✤ Self-report measures are highly limiting✤ Advancement of empirical quantitative research implies more connection with IS & CS
    10. 10. TheoreticalQuestionsMobile CommunicationNetworks✤ Mobile media multiplexity or a division of mobile media?✤ How rhythmic are ties?✤ Are findings robust across Japan and the US?
    11. 11. ImmediateImplications✤ Bonding & bridging are commonly used concepts✤ But they are operationalized in a variety of ways✤ We are rethinking bonding & bridging in behavioural terms✤ Behaviour is a pre-condition of many outcomes
    12. 12. LargerImplications✤ But does it make sense to operationalize existing concepts using only behaviour?✤ Will theory focus more on behaviour as a result of this sort of digital research?
    13. 13. Conclusion✤ The project highlights the weakness of self-report✤ This project has led us to question and rethink core concepts in the social sciences in behavioural terms✤ How this is approach will be received by scholars remains to be seen

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