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Social and online media research – data, metrics and methods

Author

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  • Georgeta Drula

    () (University of Bucharest, Faculty of Journalism and Communication Studies)

Abstract

Studies and current researches in online digital media and communication science are related to Web 2.0 at least from two perspectives: either to better understand this medium as research object, or to collect data on different topics. Social media can be a tremendous data source and topics for researchers. At the same time, these data are found in multimedia formats on different platforms, are updated continuously, and could be posted by professionals or users. This situation requires different solutions for data analysis. The objective of this paper is to show what metrics, measurements, methods and tools are used for by researchers to study and analyze online digital media, in their work with academic purposes. The concern of this paper is to show which research methods are used for social and digital media analysis and which data, metrics and measures are considered as basis of the analysis. Case studies in this paper refer to scientific articles dealing with social media research in online media and communication studies. Findings of this paper show the specificity and trends in media and communication researches related with social and digital media, and relative to economic and social needs. The conclusion that emerges from this paper is that research on and about the Web 2.0 invents or redefines traditional methods and tools, or adopts new ones.

Suggested Citation

  • Georgeta Drula, 2012. "Social and online media research – data, metrics and methods," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 3(1), pages 77-86, July.
  • Handle: RePEc:rse:wpaper:v:3:y:2012:i:1:p:77-86
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    File URL: http://reaser.eu/RePec/rse/wpaper/10_Rev3_Drula_DigitalMedia.pdf
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    References listed on IDEAS

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    1. Dima, Bogdan & Barna, Flavia & Pirtea, Marilen, 2007. "Romanian Capital Market And The Informational Efficiency," MPRA Paper 5807, University Library of Munich, Germany.
    2. Omay, Nazli C. & Karadagli, Ece C., 2010. "Testing Weak Form Market Efficiency for Emerging Economies: A Nonlinear Approach," MPRA Paper 27312, University Library of Munich, Germany.
    3. Timmermann, Allan & Granger, Clive W. J., 2004. "Efficient market hypothesis and forecasting," International Journal of Forecasting, Elsevier, vol. 20(1), pages 15-27.
    4. Abraham Abraham, 2002. "Testing the Random Walk Behavior and Efficiency of the Gulf Stock Markets," The Financial Review, Eastern Finance Association, vol. 37(3), pages 469-480, August.
    5. Basu, Parantap & R. Morey, Matthew, 2005. "Trade Opening and the Behavior of Emerging Stock Market Prices," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 20, pages 68-92.
    6. Otilia SARAMAT & Bogdan DIMA, 2011. "Testing the Weak-Form Informational Efficiency of United Kingdom, United States of America and Japan’s Capital Markets," Timisoara Journal of Economics, West University of Timisoara, Romania, Faculty of Economics and Business Administration, vol. 4(2(14)), pages 111-122.
    7. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    8. Duc Khuong Nguyen & Mondher Bellalah, 2008. "Stock market liberalization, structural breaks and dynamic changes in emerging market volatility," Review of Accounting and Finance, Emerald Group Publishing, vol. 7(4), pages 396-411, October.
    9. Pele, Daniel Traian & Voineagu, Virgil, 2008. "Testing Market Efficiency Via Decomposition Of Stock Return. Application To Romanian Capital Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 5(3), pages 63-79, September.
    10. Dragota, Victor & Mitrica, Eugen, 2004. "Emergent capital markets' efficiency: The case of Romania," European Journal of Operational Research, Elsevier, vol. 155(2), pages 353-360, June.
    11. Virmantas Kvedaras & Olivier Basdevant, 2002. "Testing the efficiency of emerging markets: the case of the Baltic States," Bank of Estonia Working Papers 2002-9, Bank of Estonia, revised 10 Oct 2002.
    12. Guttler, Caio & Meurer, Roberto & Da Silva, Sergio, 2006. "Informational inefficiency of the Brazilian stockmarket," MPRA Paper 1980, University Library of Munich, Germany.
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    Cited by:

    1. Olga AZARKINA & Monyédodo KPOSSA & Erhard LICK, 2014. "Brand Mentions in Social Media as a Key Performance Indicator in the German Fast Moving Consumer Goods Industry," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 23-30.

    More about this item

    Keywords

    social media measurement; social media metrics; social media tools; user-generated content.;

    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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