Clicca qui per scaricare

Storie ed emozioni nella comunicazione sociale: un’analisi delle campagne sulla donazione in Italia nel periodo 2013-2018
Titolo Rivista: SOCIOLOGIA DELLA COMUNICAZIONE  
Autori/Curatori: Gea Ducci, Stefania Antonioni 
Anno di pubblicazione:  2019 Fascicolo: 58 Lingua: Italiano 
Numero pagine:  22 P. 5-26 Dimensione file:  750 KB
DOI:  10.3280/SC2019-058001
Il DOI è il codice a barre della proprietà intellettuale: per saperne di più:  clicca qui   qui 


The article’s main goal is to present some considerations on the ways in which PSAs uses contemporary communication strategies, such as narratives and lan-guages evoking different kind of emotions in connected publics, arousing their emotional engagement in a social context characterised by a hybrid and conver-gent media ecosystem. More specifically, we will focus on peculiarity and trends of communication on Italian communication on social issues, introducing a survey measuring and analyzing the campaigns on donation produced by public institu-tions and non profit organizations in the period 2013-2018. The distinctiveness of the Italian case will be outlined also examining some foreign campaigns on dona-tion, arousing great interest in an international panorama.


Keywords: Public Service Announcement, engagement, emotional engagement, storytelling, donation.

  1. Al-Saqaf W., Seidler N. (2017). Blockchain technology for social impact: opportunities and challenges ahead. Journal of Cyber Policy, 2(3): 338-354., DOI: 10.1080/23738871.2017.140008
  2. Anderson C. (2008). The End of Theory: The Data Deluge Makes the Scientific Method Obsolete. Wired, 23 giugno 2008. -- Testo disponibile al sito: https://www.wired.com/2008/06/pb-theory/ (26/07/2019).
  3. Bellini M. (2019). Blockchain: cos’è, come funziona e gli ambiti applicativi in Italia. Blockchain4Innovation, 18 giugno 2019. -- Testo disponibile al sito: https://www.blockchain4innovation.it/esperti/blockchain-perche-e-cosi-importante/#Smart_Contract_e_blockchain (26/07/2019).
  4. Black N. (2001). Evidence based policy: Proceed with care. British Medical Journal, 323: 275-279.
  5. Blind K. (2018). “Current Challenges for Measuring Innovation, their Implications for Evidence-Based Innovation Policy and the Opportunities of Big Data”, paper presentato alla Conferenza “Impact of R&I Policy at the Crossroads of Policy Design, Implementation, Evaluation”, Vienna, 5 Novembre 2018. -- Testo disponibile al sito: https://www.impactevaluation.eu/wp-content/uploads/2018/11/Blind_etal_Assessing-impacts-1.pdf (26/07/2019).
  6. boyd d., Crawford K. (2011). “Six Provocations for Big Data”, presentato all’Oxford Internet Institute, A Decade in Internet Time: Symposium on the Dynamics of the Internet and Society, 21 Settembre. -- Testo disponibile al sito: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1926431 (26/07/2019).
  7. Brooks D. (2013). What data can’t do. New York Times, 18 February 2013. -- Testo disponibile al sito: https://www.nytimes.com/2013/02/19/opinion/brooks-what-data-cant-do.html (14/07/2019).
  8. Burrows R., Savage M. (2014). After the crisis? Big Data and the methodological challenges of empirical sociology. Big Data & Society, 1(1): 1-6., DOI: 10.1177/205395171454028
  9. Chetty R., Hendren N., Kline P., Saez E. (2015). Economic mobility. Pathways, Special Issue 2015 – State of the States: The Poverty and Inequality Report, pp. 55-60.
  10. Crompton R. (2008). 40 years of sociology: Some comments. Sociology, 42(6): 1218-1227., DOI: 10.1177/003803850809694
  11. Desouza K.C., Smith K.L. (2014). Big Data for Social Innovation. Stanford Social Innovation Review, Summer 2014: 39-43.
  12. DiMaggio P. (2015). Adapting computational text analysis to social science (and vice versa). Big Data & Society, July-December: 1-5., DOI: 10.1177/205395171560290
  13. Frade C. (2016). Social theory and the politics of big data and method. Sociology, 50(5): 863-877., DOI: 10.1177/003803851561418
  14. Galen D.J., Brand N., Boucherle L., Davis R., Do N., El-Baz B., Kimura I., Wharton K., Lee J. (2018). Blockchain for Social Impact: Moving Beyond the Hype. Stanford: Stanford Graduate School of Businness, Center for Social innovation, RippleWorks.
  15. Gandomi A., Haider M. (2015). Beyond the hype: Big data concepts, methods and analytics. International Journal of Information Management, 35: 137-144.
  16. gartner.com (2013). Big data. -- Testo disponibile al sito: https://www.gartner.com/it-glossary/big-data/ (11 /07/2019).
  17. Goldthorpe J. (2016). Sociology as a Population Science. Cambridge: Cambridge University Press.
  18. Halford S., Pope C., Weal M. (2013). Digital futures? Sociological challenges and opportunities in the emergent semantic web. Sociology, 47(1): 173-189., DOI: 10.1177/003803851245379
  19. Halford S., Savage M. (2017). Speaking Sociologically with Big Data: Symphonic Social Science and the Future for Big Data Research. Sociology, 51(6): 1132-1148., DOI: 10.1177/003803851769863
  20. Hey T., Tansley S., Tolle K. (2009). Jim Grey on eScience: A transformed scientific method. In: Hey T., Tansley S., Tolle K., editors, The Fourth Paradigm: Data-Intensive Scientific Discovery. Redmond: Microsoft Research.
  21. Ito J., Narula N., Ali R. (2017). The Blockchain Will Do to the Financial System What the Internet Did to Media. Harvard Business Review, 8 marzo 2017. -- Testo disponibile al sito: https://hbr.org/2017/03/the-blockchain-will-do-to-banks-and-law-firms-what-the-internet-did-to-media (26/07/2019).
  22. Katz J.E. (2008). Handbook of mobile communication studies. London: The MIT Press.
  23. Kelling S., Hochachka W., Fink D., Riedewald M., Caruana R., Ballard G., Hooker G. (2009). Data-intensive Science: A new paradigm for biodiversity studies. BioScience, 59(7): 613-620.
  24. Kitchin R. (2014). Big Data, new epistemologies and paradigm shifts. Big Data & Society, April-June 2014: 1-12., DOI: 10.1177/205395171452848
  25. Laidin L., Papadopoulou K.A., Dane N.A. (2019). Parameters for Building Sustainable Blockchain Application Initiatives. The JBBA, 2(1): 1-6.
  26. Lombi L. (2015). La ricerca sociale al tempo dei big data: sfide e prospettive. Studi di Sociologia, 2: 215-227., DOI: 10.1400/23381
  27. Luhmann N. (1990). Sistemi sociali. Bologna: il Mulino.
  28. Mandiberg M. (2012). The social media reader. New York: NYU Press, New York University.
  29. Manovich L. (2012). Trending: The promises and the challenges of big social data. In: Gold M.K., Debates in the Digital Humanities. Minneapolis, MN: University of Minnesota Press.
  30. Marres N., Gerlitz C. (2016). Interface methods: Renegotiating the relations between digital social research, STS and the sociology of innovation. Sociological Review, 64: 21-46., DOI: 10.1111/1467-954X.1231
  31. Mattila J. (2016). “The Blockchain Phenomenon – The Disruptive Potential of Distributed Consensus Architectures”, ETLA Working Papers No 38. Testo disponibile al sito: http://pub.etla.fi/ETLA-Working-Papers-38.pdf (25/07/2019).
  32. Maturo A., Moretti V. (2019). Digital Health and the Gamification of Life. New York: Emerald.
  33. Montero A.L. (2015). Evidence in public social services: and overview from practice and applied research. Bruxelles: The European Social Network.
  34. Olshannikova E., Olsson T., Huhtamäki J., Kärkkäinen H. (2017). Conceptualizing Big Social Data. Journal of Big Data, 4(3): 1-19.
  35. Parkhurst J. (2017). The Politics of Evidence. From evidence-based policy to the good governance of evidence. London – New York City: Routledge.
  36. Porway J. (2015). Five principles for applying data science for social good. O’Reilly, 1° ottobre 2015. Testo disponibile al sito: https://www.oreilly.com/ideas/five-principles-for-applying-data-science-for-social-good (14/07/2019).
  37. Rogers R. (2013). Digital Methods. Cambridge, MA: The MIT Press.
  38. Savage M., Burrows R. (2007). The coming crisis of empirical sociology. Sociology, 41(5): 885-899., DOI: 10.1177/003803850708044
  39. Spaggiari O. (2013). Big Data: i numeri che ci migliorano la vita. Vita, 22 novembre 2013. -- Testo disponibile al sito: http://www.vita.it/it/article/2013/11/22/big-data-i-numeri-che-ci-migliorano-la-vita/125360/ (26/07/2019).
  40. Tinati R., Halford S., Carr L., Pope C. (2014). Big Data: Methodological Challenges and Approaches for Sociological Analysis. Sociology, 48(4): 663-681., DOI: 10.1177/003803851351156
  41. Wesselink A., Colebatch H., Pearce W. (2014). Evidence and policies: discourses, meanings and practices. Policy Sciences, 47(4): 339-344.
  42. Zumbrun J. (2014). SAT Scores and Income Inequality: How Wealthier Kids Rank Higher. The Wall Street Journal, 7 Ottobre 2014. -- Testo disponibile al sito: https://blogs.wsj.com/economics/2014/10/07/sat-scores-and-income-inequality-how-wealthier-kids-rank-higher/ (28/07/2019).

Gea Ducci, Stefania Antonioni, in "SOCIOLOGIA DELLA COMUNICAZIONE " 58/2019, pp. 5-26, DOI:10.3280/SC2019-058001

   

FrancoAngeli è membro della Publishers International Linking Association associazione indipendente e no profit per facilitare l'accesso degli studiosi ai contenuti digitali nelle pubblicazioni professionali e scientifiche