2019
DOI: 10.1371/journal.pone.0213843
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Identifying long-term periodic cycles and memories of collective emotion in online social media

Abstract: Collective emotion has been traditionally evaluated by questionnaire survey on a limited number of people. Recently, big data of written texts on the Internet has been available for analyzing collective emotion for very large scales. Although short-term reflection between collective emotion and real social phenomena has been widely studied, long-term dynamics of collective emotion has not been studied so far due to the lack of long persistent data sets. In this study, we extracted collective emotion over a 10-… Show more

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Cited by 17 publications
(16 citation statements)
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“…In general, social media offer consumers a new platform for understanding a product and interacting with people anywhere globally to share product-related experiences [8,9]. This population is typically embedded with different awareness orientations before making a purchase decision, which can be divided into brand awareness and value awareness [10].…”
Section: Introductionmentioning
confidence: 99%
“…In general, social media offer consumers a new platform for understanding a product and interacting with people anywhere globally to share product-related experiences [8,9]. This population is typically embedded with different awareness orientations before making a purchase decision, which can be divided into brand awareness and value awareness [10].…”
Section: Introductionmentioning
confidence: 99%
“…Considering the elements that are studied as possible influential agents in the generation of these reactions, Sano et al (2019) analyzed the influence of the temporal element on the emergence of these collective emotions. This study is significant because it collected user reactions on social media in Japan throughout over 10 years (2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016).…”
Section: Emotions: User Reactions Elements That Determine Them and Engagement Implicationsmentioning
confidence: 99%
“…Fractal analyses to assign a fractal dimension which is a measure of complexity of sentences were also applied to extract keywords in articles [ 19 ]. Text can be understood through regularities in the spatial distribution of characters or words [ 20 ].…”
Section: Introductionmentioning
confidence: 99%
“…So word number n has a frequency proportional to 1/n. However, it has not been reported whether Zipf’s law remains unchanged with random shuffling of characters in text, as is typically seen in word salads, drastically destroying the meaning of a text [ 19 ].…”
Section: Introductionmentioning
confidence: 99%
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