- -

The epistemological impacts of big data on public opinion studies

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

The epistemological impacts of big data on public opinion studies

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Caldas, Pedro es_ES
dc.contributor.author Romanini, Anderson Vinícius es_ES
dc.date.accessioned 2020-09-08T10:44:02Z
dc.date.available 2020-09-08T10:44:02Z
dc.date.issued 2020-07-10
dc.identifier.isbn 9788490488324
dc.identifier.uri http://hdl.handle.net/10251/149578
dc.description.abstract [EN] In this work, we seek to highlight and describe the main differences between traditional public opinion polls (made by using methods and techniques traditionally undertaken in the social sciences), and those accomplished through methodological processes made possible by the adoption of big data. We ensure a special focus on the consequences brought about by the use of nonparametric analysis over parametric analysis to show how big data is impacting not only the methodological aspects but the epistemological basis of public opinion studies in general. Researchers see an epistemological struggle between methodology and theory in public opinion studies. This struggle is composed of two approaches: a quantitative one and a qualitative one. On the one hand, we have quantitative polls methods which lead to an excessively contextual representation of public opinion. On the other hand, we have general theories that do grasp public opinion in most of its complexity but fall short in providing sophisticated empirical tools for contextual analysis of public opinion specific issues. The methods undertook by pollsters, as many others used in social sciences rely upon classical scientific structures, where researchers conduct their studies through hierarchical theories and survey techniques to access and understand their subject. In these cases, the researchers must pose the research problem a prioristically, to parametrize and create the questionnaires before the collecting of the data to be analyzed after. By using big data models, the need for posing a research problem and parametrize the proceedings of the study a prioristically no longer exists, thus contributing to a characterization of public opinion that is qualitative and way more complex, rather than the traditional one. Although not yet strictly statistically representative, public opinion studies made by using datasets collected from social media provide us with a view of public opinion that shows, among other things, the main actors (persons, groups, and organizations), their powers of influence over the others and their interests in public opinion formation movement. es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Web data es_ES
dc.subject Internet data es_ES
dc.subject Big data es_ES
dc.subject Qca es_ES
dc.subject Pls es_ES
dc.subject Sem es_ES
dc.subject Conference es_ES
dc.subject Public opinion es_ES
dc.subject Polls es_ES
dc.subject Mining es_ES
dc.subject Epistemological impacts es_ES
dc.title The epistemological impacts of big data on public opinion studies es_ES
dc.type Comunicación en congreso es_ES
dc.type Otros es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Caldas, P.; Romanini, AV. (2020). The epistemological impacts of big data on public opinion studies. Editorial Universitat Politècnica de València. http://hdl.handle.net/10251/149578 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics es_ES
dc.relation.conferencedate Julio 08-09,2020 es_ES
dc.relation.conferenceplace Valencia, Spain es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CARMA/CARMA2020/paper/view/11644 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\11644 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem