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How to analyze online behavior as a source for political information in the Portuguese 2019 European Parliament election?

2021-12-09Conference object Restricted access
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dc.contributor.authorSilvestre, Cláudia
dc.contributor.authorRodrigo, Pinheiro
dc.contributor.authorMontargil, Filipe
dc.date.accessioned2022-01-04T15:47:26Z
dc.date.available2022-01-04T15:47:26Z
dc.date.issued2021-12-09
dc.description.abstractThe internet plays an important role in our society, namely in the circulation of political ideas [2] knowing that, political actors have been using web’s potential to invigorate their campaigns [4]. Obama’s 2008 presidential campaign is a well-known example [1]. In this study, which is part of a larger one about European elections, we intend to examine Portuguese’ use of online media in relation to political involvement in the 2019 European Parliament election. This project, which is being developed in partnership with Netquest (an opinion and market research company), uses a database of web navigation actions (WNA) from its Internet user panel in Portugal. This data set includes navigation actions on computer and mobile devices, for a sample of 1,288 users. Our data were collected between April 26 and June 26, 2019 (a period of two months, around the elections, held on May 26, in Portugal), and contains 20,137,355 WNA. In order to analyze this data set we applied the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology [3]. After business and data understanding, we are in phase 3, the most time-consuming task - data preparation. In this phase a binary variable was added to identify if a WNA refers to an online media or not. This classification was based on the list of media provided by the Entidade Reguladora para a Comunica¸c˜ao Social (Portuguese Regulatory Authority for the Media). The next step is to identify which of these WNA of Portuguese media are about politics. First, we select subdomains or tabs of the WNA URL address that contains the words: “politica” (politics), “eleicao” or “eleicoes” (election). Other options will be apply text mining to news titles in the WNA url address or use HTML scraping and text mining algorithms to analyze online news content. This study is focused on challenges we faced during data preparation. To make sure that the database is consistent and does not include duplicate or redundant information it was necessary to understand what each variable actually represented. Then we recoded the data to numerical values. And some variables were grouped, such as the region, the level of education and the area of study. We have also turned date of birth into age and standardized standardized the time spent online. In addition, mobile and desktop WNA information have been tuned to be expressed in the same way. Finally, we present the preliminary results of the identification of WNA related to policy issues and an exploratory analysis of the information will be carried out.en
dc.description.abstractReferences [1] E. Bomberg and B. Super. The 2008 US presidential election: Obama and the environment. Environmental Politics, 18:424–430, 2009. [2] M. Bonchek. From broadcast to netcast: The Internet and the flow of political information. PhD thesis, Harvard University, 1997. [3] F. Mart´ınez-Plumed, L. Contreras-Ochando, C. Ferri, J. H. Orallo, M. Kull, N. Lachiche, M. J. Quintana, and P. Flach. Crisp-dm twenty years later: From data mining processes to data science trajectories. IEEE Transactions on Knowledge and Data Engineering, 33:3046–3061, 2019. [4] L. Parisi and R. Rega. Disintermediation in political communication: chance or missed opportunity? Leadership and New Trends in Political Communication, pages 123–148, 2011.en
dc.description.versionN/Apt_PT
dc.identifier.citationSilvestre, C., Pinheiro, R., & Montargil, F. (2021, dez, 09-11). How to analyze online behavior as a source for political information in the Portuguese 2019 European Parliament election?. Paper presented at XVIII Meeting of the Portuguese Association for Classification and Data Analysis (JOCLAD 2021), Universidade da Beira Interior – Covilhã, Portugalpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/14138
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherCLAD - Associação Portuguesa de Classificação e Análise de Dadospt_PT
dc.publisherUBI - Universidade da Beira Interiorpt_PT
dc.relation.publisherversionhttp://www.joclad.ipt.pt/joclad2021/pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/pt_PT
dc.subjectEuropean electionsen
dc.subjectOnline behavioren
dc.subjectPolitical newsen
dc.subjectCRISP-DMen
dc.subjectData preparationen
dc.titleHow to analyze online behavior as a source for political information in the Portuguese 2019 European Parliament election?en
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceUniversidade da Beira Interior – Covilhã, Portugalpt_PT
oaire.citation.titleXVIII Meeting of the Portuguese Association for Classification and Data Analysis (JOCLAD 2021)pt_PT
person.familyNameSilvestre
person.familyNameMontargil
person.givenNameCláudia
person.givenNameFilipe
person.identifier.ciencia-idDA12-EF3F-C7CD
person.identifier.ciencia-id8C1B-2CF1-D79B
person.identifier.orcid0000-0002-8850-4304
person.identifier.orcid0000-0001-6665-0995
person.identifier.ridX-1388-2019
person.identifier.scopus-author-id56445494800
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication08fbc1bf-3387-4137-8c03-c4664dd43375
relation.isAuthorOfPublication292a9e03-2d5c-4dff-9bb0-9457a16c6611
relation.isAuthorOfPublication.latestForDiscovery292a9e03-2d5c-4dff-9bb0-9457a16c6611

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