Big data

shaping knowledge, shaping everyday life

Keywords: Big data, Social media, Science, Scientific research, Applied knowledge

Abstract

This article discusses the newness of big data, arguing that it can be defined in relation to the type of knowledge that is created. It highlights the importance of big data in the research in social sciences, and especially in communication research, despite that research be partly limited by the data sources (often, commercial). Another impediment is that such research is pushing in many directions, but without integrating the new-found knowledge into overall accounts of the role of media in social change. And most of this knowledge is not being produced within the social sciences at all, but rather in the private sector and in policy settings. Big data also raises certain issues in new guises, such as privacy and social vigilance.

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References

AXELSSON, A.-S.; SCHROEDER, R. Making it open and keeping it safe: e-enabled data sharing in Sweden. Acta Sociologica, Thousand Oaks, v. 52, n. 3, p. 213-226, 2009. DOI: https://doi.org/10.1177/0001699309339799

BAKSHY, E.; MESSING, S.; ADAMIC, L. A. Exposure to ideologically diverse news and opinion on Facebook. Science, Washington, DC, v. 348, n. 6239, p. 1130-1132, 2015. DOI: https://doi.org/10.1126/science.aaa1160

BENIGER, J. The control revolution: technological and economic origins of the information society. Cambridge, MA: Harvard University Press, 1986.

BOLSOVER, G. Technology and political speech: commercialisation, authoritarianism and the supposed death of the internet’s democratic potential.

386 f. Tese (Doutorado em Informação, Comunicação e Ciências Sociais) – Oxford Internet Institute, University of Oxford, Oxford, 2017. Disponível em: <https://goo.gl/UtYq7j>. Acesso em: 28 jul. 2018.

BOND, R. et al. A 61-million-person experiment in social influence and political mobilization. Nature, Londres, v. 489, p. 295-298, 2012. DOI:https://doi.org/10.1038/nature11421

BORGMAN, C. Big data, little data, no data. Cambridge, MA: MIT Press, 2015.

BRIGHT, J. “Big social science”: doing big data in the social sciences. In: LEE, R.; FIELDING, N.; BLANK, G. (Eds.). Handbook of online research methods. Londres: Sage, 2016. p. 125-139.

CASTELLS, M. Communication power. Oxford: Oxford University Press, 2009.

CHERUBINI, F.; NIELSEN, R. Digital news reports 2016. Editorial analytics: how news media are developing and using audience data and metrics. Oxford: Reuters Institute, 2016. Disponível em: <https://goo.gl/coKPFw>. Acesso em: 28 jul. 2018.

CONOVER, M. et al. Political polarization on Twitter. In: INTERNATIONAL AAAI CONFERENCE ON WEBLOGS AND SOCIAL MEDIA, 5., 2011, Barcelona. Proceedings… Palo Alto: AAAI, 2011. v. 133. p. 89-96. Disponível em: <https://goo.gl/zX3B8r>. Acesso em: 28 jul. 2018.

DONNER, J. After access: inclusion, development, and a more mobile internet. Cambridge, MA: MIT Press, 2015.

DORON, A.; JEFFREY, R. The great Indian phone book: how the mass mobile changes business, politics and daily life. Cambridge, MA: Harvard University Press, 2013.

EAGLE, N.; GREENE, K. Reality mining: using big data to engineer a better world. Cambridge, MA: MIT Press, 2014.

EKBIA, H. et al. Big data, bigger dilemmas: a critical review. Journal of the Association for Information Science and Technology, Hoboken, v. 66, n. 8, p. 1523-1545, 2015. DOI: https://doi.org/10.1002/asi.23294

ESLAMI, M. et al. “I always assumed that I wasn’t really that close to [her]:” reasoning about invisible algorithms in the news feed. In: CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 33., 2015, Seoul. Proceedings… Nova Iorque: ACM, 2015. p. 153-162. DOI: https://doi.org/10.1145/2702123.2702556

ESLAMI, M. et al. First I “like” it, then I hide it: folk theories of social feeds. In:CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2016, San Jose, CA. Proceedings… Nova Iorque: ACM, 2016. p. 2371-2382. DOI: https://doi.org/10.1145/2858036.2858494

FISCHER, C. America calling: a social history of the telephone to 1940. Berkeley: University of California Press, 1992.

GRIMMELMAN, J. The Facebook emotional manipulation study: sources. The Laboratorium, Nova Iorque, 30 jun. 2014. Disponível em: <https://goo.gl/uyXuz6>. Acesso em: 28 jul. 2018.

HACKING, I. Representing and intervening. Cambridge, UK: Cambridge University Press, 1983.

HACKING, I. The self-vindication of the laboratory sciences. In: PICKERING, A. (Ed.). Science as practice and culture. Chicago: University of Chicago Press, 1992. p. 29-64.

HAENSSGEN, M. Mobile phone diffusion and rural healthcare access in India and China. 2016. 391 f. Tese (Doutorado em Desenvolvimento Internacional) – Hertford College, University of Oxford, Oxford, 2016. Disponível em: <https://goo.gl/x3X4P2>. Acesso em: 28 jul. 2018.

HAMPTON, K. et al. Social networking sites and our lives. Pew Research Center, Washington, DC, 16 jun. 2011. Disponível em: <https://goo.gl/YZs3fr>. Acesso em: 28 jul. 2018.

HERSH, E. Hacking the electorate: how campaigns perceive voters. Cambridge, UK: Cambridge University Press, 2015.

KARPF, D. Analytic activism: digital listening and the new political strategy. Oxford: Oxford University Press, 2015.

KARPF, D. Schrodinger’s audience: how news analytics handed America Trump. Civicist, Nova Iorque, 4 maio 2016. Disponível em: <https://goo.gl/3jpFrr>. Acesso em: 28 jul. 2018.

KRAMER, A.; GUILLORY, J.; HANCOCK, J. Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences, Washington, DC, v. 111, n. 24, p. 8788-8790, 2014. DOI: https://doi.org/10.1073/pnas.1320040111

KREISS, D. Prototype politics: technology-intensive campaigning and the data of democracy. Oxford: Oxford University Press, 2016.

LEWIS, K. et al. Tastes, ties, and time: a new social network dataset using Facebook.com. Social Networks, Amsterdã, v. 30, n. 4, p. 330-342, 2008. DOI: https://doi.org/10.1016/j.socnet.2008.07.002

LICOPPE, C. “Connected” presence: the emergence of a new repertoire for managing social relationships in a changing communication technoscape. Environment and Planning D: Society and Space, Thousand Oaks, v. 22, n. 1, p. 135-156, 2004. DOI: https://doi.org/10.1068/d323t

LING, R. et al. Small circles: mobile telephony and the cultivation of the private sphere. The Information Society, Abingdon, v. 30, n. 4, p. 282-291, 2014. DOI: https://doi.org/10.1080/01972243.2014.915279

MAYER-SCHOENBERGER, V.; CUKIER, K. Big data: a revolution that will transform how we live, work and think. Londres: John Murray, 2013.

MCCHESNEY, R. W. Digital disconnect: how capitalism is turning the internet against democracy. Nova Iorque: The New Press, 2013.

MEISSNER, M. China’s social credit system: a big-data enabled approach to market regulation with broad implications for doing business in China. China Monitor, Berlim, 24 maio 2017. Disponível em: <https://goo.gl/TkgvxH>. Acesso em: 28 jul. 2018.

MEYER, E. T.; SCHROEDER, R. Knowledge machines: digital transformations of the sciences and humanities. Cambridge, MA: MIT Press, 2015.

MEYER, M. Misjudgements will drive social trials underground. Nature, Londres, v. 511, n. 265, 17 jul. 2014. DOI: https://doi.org/10.1038/511265a

MILLER, C. C. The Plus in Google Plus? It’s Mostly for Google. The New York Times, Nova Iorque, 15 Feb. 2014. p. A1.

NAPOLI, P.; OBAR, J. The emerging mobile internet underclass: a critique of mobile internet access. The Information Society: an international journal, Abingdon, v. 30, n. 5, p. 323-334, 2015. DOI: https://doi.org/10.1080/01972243.2014.944726

O’NEIL, C. Weapons of math destruction: how big data increases inequality and threatens democracy. Londres: Allen Lane, 2016.

PAN, J. How market dynamics of domestic and foreign social media firms shape strategies of internet censorship. Problems of Post-Communism, Abingdon, v. 64, n. 3-4, 2017. DOI: https://doi.org/10.1080/10758216.2016.1181525

PARISER, E. The filter bubble: what the internet is hiding from you. Harmondsworth: Penguin, 2011.

PASQUALE, F. The black box society: the secret algorithms that control money and information. Cambridge, MA: Harvard University Press, 2015.

PETRIE, C. The traffic factories: metrics at Chartbeat, Gawker Media, and The New York Times. Tow Center for Digital Journalism, Nova Iorque, 7 maio 2015. Disponível em: <https://goo.gl/Qf1HRR>. Acesso em: 28 jul. 2018.

PORTER, T. Statistics and statistical methods. In: PORTER, T.; ROSS, D. (Eds.). The modern social sciences. Cambridge, UK: Cambridge University Press, 2008. p. 238-250.

QIN, B.; STROEMBERG, D.; WU, Y. Why does China allow freer social media? Protests versus surveillance versus propaganda. Journal of Economic Perspectives, Pitsburgo, v. 31, n. 1, p. 117-140, 2017. DOI: https://doi.org/10.1257/jep.31.1.117

RAINIE, L. et al. 2012. Social media and political engagement. Pew Research Center, Washington, DC, 19 out. 2012. Disponível em: <https://goo.gl/d5DDDR>. Acesso em: 28 jul. 2018.

RAO, U.; GREENLEAF, G. Subverting ID from above and below: the uncertain shaping of India’s new instrument of e-governance. Surveillance and Society, Chapel Hill, v. 11, n. 3, p. 287-300, 2013. DOI: https://doi.org/10.24908/ss.v11i3.4496

RULE, J. Theory and progress in social science. Cambridge, UK: Cambridge University Press, 1997.

RULE, J. Privacy in peril: how we are sacrificing a fundamental right in exchange for security and convenience. Nova Iorque: Oxford University Press, 2007.

SCHROEDER, R. Rethinking science, technology and social change. Stanford: Stanford University Press, 2007.

RULE, J. Big data and the Brave New World of social media research. Big Data and Society, Thousand Oaks, p. 1-11, Jul.-Dec. 2014a. DOI: https://doi.org/10.1177/2053951714563194

RULE, J. Big data: towards a more scientific social science and humanities? In: GRAHAM, M.; DUTTON, W. H. (Eds.). Society and the internet. Oxford: Oxford University Press, 2014b. p. 164-176.

RULE, J. Big data and communication research. Oxford Research Encyclopedia of Communication, Oxford, Nov. 2016. DOI: https://doi.org/10.1093/acrefore/9780190228613.013.276

RULE, J. Social theory after the internet: media, technology and globalization. Londres: UCL Press, 2018.

SETTLE, J. et al. Quantifying political discussion from the universe of Facebook status updates. SSRN Electronic Library, Amsterdã, 2013. DOI: https://dx.doi.org/10.2139/ssrn.2307685

SMITH, M.; PATIL, D.; MUÑOZ, C. Big Risks, big opportunities: the intersection of big data and civil rights. White House, Washington, DC, 4 maio 2016. Disponível em: <https://goo.gl/QnwVKd>. Acesso em: 7 ago. 2018.

STOCKMANN, D. Media commercialization and authoritarian rule in China. Cambridge, UK: Cambridge University Press, 2013.

STOCKMANN, D.; LUO, T. Which social media facilitate online public opinion in China? Problems of Post-Communism, Abingdon, v. 64, n. 3-4, p. 189-202, 2017. DOI: https://doi.org/10.1080/10758216.2017.1289818

THELWALL, M.; BUCKLEY, K.; PALTOGLOU, G. Sentiment strength detection for the social web. Journal of the American Society for Information Science and Technology, Hoboken, v. 63, n. 1, p. 163-173, 2012. DOI: https://doi.org/10.1002/asi.21662

THOMSON, D. Television: a biography. Nova Iorque: Thames & Hudson, 2016.

TUROW, J. The aisles have eyes: how retailers track your shopping, strip your privacy, and define your power. New Haven: Yale University Press, 2017.

WATTS, D. J. Should social science be more solution-oriented? Nature Human Behaviour, Londres, v. 1, 2017. Artigo 0015. DOI: https://doi.org/10.1038/s41562-016-0015

WHITE HOUSE. The big data and privacy review. Washington, DC: White House, 2014. Disponível em: <https://goo.gl/S9BPWA>. Acesso em: 28 jul. 2018.

WHITLEY, R. The intellectual and social organization of the sciences. 2. ed. Oxford: Oxford University Press, 2000.

WILSON, R.; GOSLING, S.; GRAHAM, L. A review of Facebook research in the social sciences. Perspectives on Psychological Science, Thousand Oaks, v. 7, n. 3, p. 203-220, 2012. DOI: https://doi.org/10.1177/1745691612442904

ZENG, J. China’s date with big data: will it strengthen or threaten authoritarian rule? International Affairs, Oxford, v. 92, n. 6, p. 1443-1462, 2016. DOI: https://doi.org/10.1111/1468-2346.12750

Published
2018-08-30
How to Cite
MATRIZes, E., & Schroeder, R. (2018). Big data. MATRIZes, 12(2), 135-163. https://doi.org/10.11606/issn.1982-8160.v12i2p135-163
Section
Em Pauta/Agenda