Acceso usuarios
Derina Holtzhausen
Purpose – The purpose of this paper is to consider the threats and potential of Big Data for strategic communication. It explains the concepts of datafication and Big Data and establishes the social and cultural context of Big Data from the way those constructing algorithms superimpose their value systems and cultural references onto the data. It links Big Data and strategic communication through the segmentation devices and strategies both use and propose discourse analysis as a valid method for the critique of Big Data. The importance of strategic communication for the public sphere suggests that Big Data can pose a serious threat to public discourse.
Design/methodology/approach – This is a conceptual and theoretical paper that first explains and interprets various new terms and concepts and then uses established theoretical approaches to analyze these phenomena.
Findings – The use of Big Data for the micro-segmentation of audiences establishes its relationship with strategic communication. Big Data analyses and algorithms are not neutral. Treating algorithms as language and communication allow them to be subjected to discourse analysis to expose underlying power relations for resistance strategies to emerge. Strategic communicators should guard the public sphere and take an activist stance against the potential harm of Big Data. That requires a seat at the institutional technology table and speaking out against discriminatory practices. However, Big Data can also greatly benefit society and improve discourse in the public sphere.
Research limitations/implications – There is not yet empirical data available on the impact of datafication on communication practice, which might be a problem well into the future. It also might be hard to do empirical research on its impact on practice and the public sphere. The heuristic value of this piece is that it laid down the theoretical foundations of the phenomena to be studied, which can in future be used for ethnographic research or qualitative studies. It might eventually be possible to follow personalized messages generated through datafication to study if they actually lead to behavior change in specific audience members.
Practical/implications – As guardians of the public sphere strategic communication practitioners have to educate themselves on the realities of Big Data and should consciously acquire a seat at the institutional technology table. Practitioners will need to be involved in decisions on how algorithms are formulated and who they target. This will require them to serve as activists to ensure social justice. They also will need to contribute to organizational transparency by making organizational information widely available and accessible through media bought, owned, and earned. Strategic communicators need to create a binary partnership with journalists of all kinds to secure the public sphere.
Social/implications – The paper exposes the role of algorithms in the construction of data and the extent to which algorithms are products of people who impose their own values and belief systems on them. Algorithms and the data they generate are subjective and value-laden. The concept of algorithms as language and communication and the use of Big Data for the segmentation of society for purposes of communication establish the connection between Big Data and strategic communication. The paper also exposes the potential for harm in the use of Big Data, as well as its potential for improving society and bringing about social justice.
Originality/value – The value of this paper is that it introduces the concept of datafication to communication studies and proposes theoretical foundations for the study of Big Data in the context of strategic communications. It provides a theoretical and social foundation for the inclusion of the public sphere in a definition of strategic communication and emphasizes strategic communicators’ commitment to the public sphere as more important than ever before. It highlights how communication practice and society can impact each other positively and negatively and that Big Data should not be the future of strategic communication but only a part of it.
