Emotion Dynamics of Public Opinions on Twitter

Naskar, Debashis; Singh, Shubra; Kumar, Durgesh; Nandi, Sukumar; Rivaherrera, Eva Onaindia de la

doi:10.1145/3379340

Cited by 30 publications

(17 citation statements)

References 35 publications

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“…Berne-Manero and Marzo-Navarro [19] show that not only television commercials but also social media commercials can change adolescents' behavior. Naskar et al [20] also agree with this opinion. The research of Zollo et al [21] and Gratiela [22] demonstrates that cognitive, personal integration, and social integration benefits mediate the relationship between the marketing impact of social media advertising and consumer brand awareness.…”

Section: Literature Reviewsupporting

confidence: 56%

Exploring the Affective Level in Adolescents in Relation to Advertising with a Selected Emotional Appeal

et al. 2020

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The correlation and perception of advertising on adolescents have been shown to be a key factor in the survival of subjective emotional states. In this research, we map the affective level in relation to emotions in the context of assessing the marketing advertisement “Man on the Moon” by John Lewis company. We assess how an emotional appeal affects adolescents in various areas of the Slovak Republic, following several crucial demographic features of respondents. We examined the affective level by means of a psychodiagnostic tool in the form of a standardized tool of the scale of subjective emotional habitual well-being. To measure the emotional component of subjective well-being, we used descriptive words that expressed experienced emotions and feelings. From the collected data, we determined the frequency of positive and negative mood and verified the dependence between the variable region and emotion. We used Pearson’s chi-square test. When evaluating the data, we found dependencies between the categorical variable region and emotion. We did not find a relationship between the variable gender and emotion. The geographical division within the national market has an impact on the experience of positive and negative emotions when looking at advertising with an emotional appeal to the story.

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Section: Literature Reviewsupporting

confidence: 56%

Exploring the Affective Level in Adolescents in Relation to Advertising with a Selected Emotional Appeal

et al. 2020

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“…For example, Alduaiji and Datta [2] conducted a sentiment analysis on three different Twitter data sets and found that positive tweets are shared more often than negative tweets. Others have found that people's emotional reactions to a topic can change over time [28] and be influenced by the emotions of others [12,20]. In short, social media can convey and evoke emotion.…”

Section: Theoretical Background 21 Role Of Emotion In Social Mediamentioning

confidence: 99%

Finding Strategies Against Misinformation in Social Media: A Qualitative Study

Urakami,

Kim,

Oura

et al. 2022

Preprint

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Misinformation spread through social media has become a fundamental challenge in modern society. Recent studies have evaluated various strategies for addressing this problem, such as by modifying social media platforms or educating people about misinformation, to varying degrees of success. Our goal is to develop a new strategy for countering misinformation: intelligent tools that encourage social media users to foster metacognitive skills "in the wild. " As a first step, we conducted focus groups with social media users to discover how they can be best supported in combating misinformation. Qualitative analyses of the discussions revealed that people find it difficult to detect misinformation. Findings also indicated a need for but lack of resources to support cross-validation of information. Moreover, misinformation had a nuanced emotional impact on people. Suggestions for the design of intelligent tools that support social media users in information selection, information engagement, and emotional response management are presented. CCS CONCEPTS• General and reference → Empirical studies; • Networks → Social media networks; • Human-centered computing → User studies.

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“…The APIs provided by the social network can easily and conveniently obtain structured data. So Naskar et al [Naskar, Singh, Kumar et al (2020)] use the Search-API provided by Twitter to analyze the emotional dynamics of users' comments on an event or topic on Twitter. Unfortunately, concerning some social networks, such as Facebook, Twitter, Weibo, etc., limited access token dates, API data content, and access times can significantly hamper data collection.…”

Section: Data Crawlingmentioning

confidence: 99%

COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining

Zhang¹,

Chen²,

Liu³

et al. 2020

Computers, Materials &Amp; Continua

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With the spread and development of new epidemics, it is of great reference value to identify the changing trends of epidemics in public emotions. We designed and implemented the COVID-19 public opinion monitoring system based on time series thermal new word mining. A new word structure discovery scheme based on the timing explosion of network topics and a Chinese sentiment analysis method for the COVID-19 public opinion environment are proposed. Establish a "Scrapy-Redis-Bloomfilter" distributed crawler framework to collect data. The system can judge the positive and negative emotions of the reviewer based on the comments, and can also reflect the depth of the seven emotions such as Hopeful, Happy, and Depressed. Finally, we improved the sentiment discriminant model of this system and compared the sentiment discriminant error of COVID-19 related comments with the Jiagu deep learning model. The results show that our model has better generalization ability and smaller discriminant error. We designed a large data visualization screen, which can clearly show the trend of public emotions, the proportion of various emotion categories, keywords, hot topics, etc., and fully and intuitively reflect the development of public opinion.

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Emotion Dynamics of Public Opinions on Twitter

Cited by 30 publications

References 35 publications

Exploring the Affective Level in Adolescents in Relation to Advertising with a Selected Emotional Appeal

Exploring the Affective Level in Adolescents in Relation to Advertising with a Selected Emotional Appeal

Finding Strategies Against Misinformation in Social Media: A Qualitative Study

COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining

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