<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1688-4221</journal-id>
<journal-title><![CDATA[Ciencias Psicológicas]]></journal-title>
<abbrev-journal-title><![CDATA[Cienc. Psicol.]]></abbrev-journal-title>
<issn>1688-4221</issn>
<publisher>
<publisher-name><![CDATA[Universidad Católica del Uruguay.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1688-42212022000201213</article-id>
<article-id pub-id-type="doi">10.22235/cp.v16i2.2339</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Persuasão e emoções: fraudes ao consumidor na Black Friday Brasil]]></article-title>
<article-title xml:lang="es"><![CDATA[Persuasión y emociones: fraudes al consumidor en Black Friday Brasil]]></article-title>
<article-title xml:lang="en"><![CDATA[Persuasion and emotions: consumer fraud on Black Friday Brazil]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Tuyani Araújo Soares]]></surname>
<given-names><![CDATA[Sarah]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Modesto]]></surname>
<given-names><![CDATA[João Gabriel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Centro Universitário de Brasília  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Centro Universitário de Brasília &amp; Universidade Estadual de Goiás  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Brazil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<volume>16</volume>
<numero>2</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.edu.uy/scielo.php?script=sci_arttext&amp;pid=S1688-42212022000201213&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.edu.uy/scielo.php?script=sci_abstract&amp;pid=S1688-42212022000201213&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.edu.uy/scielo.php?script=sci_pdf&amp;pid=S1688-42212022000201213&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo: A presente pesquisa teve como objetivo analisar a relação entre emoções e fraudes ao consumidor, tendo como base o Modelo de Probabilidade de Elaboração (ELM). Para isso, foi realizada análise de sentimentos, por meio do método de Processamento de Linguagem Natural (PLN), com dados do Twitter obtidos no dia do evento, e análise de conteúdo para compreender os fatores que englobam o evento e se empresas com reclamações nos relatórios do PROCON/SP e do site Reclame Aqui estavam relacionadas. Os dados evidenciam que a maioria dos sentimentos provenientes da Black Friday Brasil são negativos e estão relacionados à fraude ao consumidor. Também revelam que indivíduos que apresentaram baixo envolvimento com mensagens persuasivas, utilizaram as emoções como simples indicações, diferente de indivíduos que apresentaram alto envolvimento e que utilizaram as emoções como argumento no processo persuasivo para não serem vítimas de fraude.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: La presente investigación tuvo como objetivo analizar la relación entre las emociones y el fraude al consumidor, basado en el modelo de probabilidad de elaboración (ELM). Para eso, se realizó un análisis de sentimiento, utilizando el método de procesamiento del lenguaje natural (PLN), con datos de Twitter obtenidos el día del evento, y análisis de contenido para comprender los factores que componen el evento y si empresas con quejas en los informes PROCON/SP y el sitio web de Reclame Aquí estaban relacionados. Los datos muestran que la mayoría de los sentimientos del Black Friday Brasil son negativos y están relacionados con el fraude al consumidor. También revelan que las personas que tenían poca implicación con mensajes persuasivos utilizaron las emociones como simples indicaciones, a diferencia de las personas que tenían una alta implicación y que utilizaron las emociones como argumento en el proceso persuasivo para no ser víctimas de fraude.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: This research aimed at analyzing the relation between emotions and consumer fraud, based on the Elaboration Likelihood Model (ELM). For this purpose, Sentiment Analysis was performed using the Natural Language Processing (NLP) from Twitter data obtained on the day of the event, and content analysis to understand the factors involved in the event and whether companies with reported complaints on PROCON/SP (2019) and the website Reclame Aqui (2019) were related. The results show that most emotions arising from Black Friday Brazil are both negative and related to consumer fraud. They also reveal that individuals who had low involvement with the persuasive messages used emotions as simple indications, unlike individuals who were highly involved and used emotions as an argument in the persuasive process to avoid being victims of fraud.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[persuasão]]></kwd>
<kwd lng="pt"><![CDATA[emoções]]></kwd>
<kwd lng="pt"><![CDATA[consumo]]></kwd>
<kwd lng="pt"><![CDATA[Twitter]]></kwd>
<kwd lng="pt"><![CDATA[redes sociais]]></kwd>
<kwd lng="es"><![CDATA[persuasión]]></kwd>
<kwd lng="es"><![CDATA[emociones]]></kwd>
<kwd lng="es"><![CDATA[consumo]]></kwd>
<kwd lng="es"><![CDATA[Twitter]]></kwd>
<kwd lng="es"><![CDATA[redes sociales]]></kwd>
<kwd lng="en"><![CDATA[persuasion]]></kwd>
<kwd lng="en"><![CDATA[emotions]]></kwd>
<kwd lng="en"><![CDATA[consumption]]></kwd>
<kwd lng="en"><![CDATA[Twitter]]></kwd>
<kwd lng="en"><![CDATA[social media]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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