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Political Polarization and Movie Ratings: Web Scraping The Brazilian Contemporary Scenario

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Political Polarization and Movie Ratings: Web Scraping The Brazilian Contemporary Scenario

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dc.contributor.author Moritz, Ana Paula es_ES
dc.contributor.author Chagas, Bruno es_ES
dc.date.accessioned 2020-07-27T09:25:47Z
dc.date.available 2020-07-27T09:25:47Z
dc.date.issued 2020-05-12
dc.identifier.isbn 9788490488324
dc.identifier.uri http://hdl.handle.net/10251/148729
dc.description.abstract [EN] Our work aims to analyze the impact of political polarization on movie ratings at the IMDb platform. For that we explore the concepts of Word of Mouth and Buzz marking the important role they play on polarized opinions in movie ratings.We develop a code on python to perform web-scrapping on the sample scope of Brazilian movies and interpret the data collected using a controversiality index based on standard deviation. The outcome sheds some light into the relation between Buzz and Controversiality within the framework of Brazil’s current political scenario. 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 Political Polarization es_ES
dc.subject Movie Ratings es_ES
dc.subject Web-Scrapping es_ES
dc.subject Brazil es_ES
dc.subject Controversiality es_ES
dc.subject Buzz es_ES
dc.title Political Polarization and Movie Ratings: Web Scraping The Brazilian Contemporary Scenario es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/CARMA2020.2020.11650
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Moritz, AP.; Chagas, B. (2020). Political Polarization and Movie Ratings: Web Scraping The Brazilian Contemporary Scenario. Editorial Universitat Politècnica de València. 289-297. https://doi.org/10.4995/CARMA2020.2020.11650 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/11650 es_ES
dc.description.upvformatpinicio 289
dc.description.upvformatpfin 297
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\11650 es_ES


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