Emotional Stimuli in Social Media User Behavior: Emoji Reactions on a News Media Facebook Page

Smoliarova, Anna S.; Gromova, Tamara M.; Pavlushkina, Natalia A.

doi:10.1007/978-3-030-01437-7_19

Cited by 22 publications

(10 citation statements)

References 44 publications

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“…Lastly, with regards to the engagement analysis, it should be noted that higher scoring articles also had increased odds of receiving a love reaction and lower numbers of “anger” reactions. Although previous research indicates that the love reaction is used in a largely monosemantic positive way ( 37 ), the nature of anger reactions toward articles is less clear as readers may simply be expressing anger at the death of an individual rather than at the content of an article. Importantly, however, previous research has identified anger as a strong motivating factor for sharing of information by individuals ( 38 ), yet our findings diverge from this as articles with the highest safe-reporting scores and resharing had the lowest odds of anger reactions.…”

Section: Discussionmentioning

confidence: 99%

Adherence to suicide reporting guidelines by news shared on a social networking platform

Sumner

Burke

Kooti

2020

Proc. Natl. Acad. Sci. U.S.A.

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Rates of suicide in the United States are at a more than 20-y high. Suicide contagion, or spread of suicide-related thoughts and behaviors through exposure to sensationalized and harmful content is a well-recognized phenomenon. Health authorities have published guidelines for news media reporting on suicide to help prevent contagion; however, uptake of recommendations remains limited. A key barrier to widespread voluntary uptake of suicide-reporting guidelines is that more sensational content is perceived to be more engaging to readers and thus enhances publisher visibility and engagement; however, no empirical information exists on the actual influence of adherence to safe-reporting practices on reader engagement. Hence, we conducted a study to analyze adherence to suicide-reporting guidelines on news shared on social media and to assess how adherence affects reader engagement. Our analysis of Facebook data revealed that harmful elements were prevalent in news articles about suicide shared on social media while the presence of protective elements was generally rare. Contrary to popular perception, closer adherence to safe-reporting practices was associated with a greater likelihood of an article being reshared (adjusted odds ratio [AOR] = 1.19, 95% confidence interval [CI] = 1.10 to 1.27) and receiving positive engagement (“love” reactions) (AOR = 1.20, 95% CI = 1.13 to 1.26). Mean safe-reporting scores were lower in the US than other English-speaking nations and variation existed by publisher characteristics. Our results provide empirical evidence that improved adherence to suicide-reporting guidelines may benefit not only the health of individuals, but also support publisher goals of reach and engagement.

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Section: Discussionmentioning

confidence: 99%

Adherence to suicide reporting guidelines by news shared on a social networking platform

Sumner

Burke

Kooti

2020

Proc. Natl. Acad. Sci. U.S.A.

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“…We believe that this is a necessary step in enabling the user to procure quality information. Similarly, other studies reported that reaction buttons found on Facebook increase the users' engagement in social media (Matamoros-Fernández, 2018;Smoliarova et al, 2018).…”

Section: Affordances Influence Perceived Information Qualitymentioning

confidence: 66%

Innovation Diffusion: The Influence of Social Media Affordances on Complexity Reduction for Decision Making

2021

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Social media is a prominent communication platform. Its active usage permeates all generations and it is imperative that the platform be fully optimized for knowledge transfer and innovation diffusion. However, there are several considerations regarding platform usage, including media affordances. Social media affordances enable users to interact with the world around them through features of modality, agency, interactivity, and navigation. Previous studies have indicated that social media affordances significantly influence user behavior and usage. However, research exploring the effect of social media affordances on knowledge acquisition and the reduction of decision-making complexities is limited. Therefore, focusing on 179 paddy farmers in Malaysia, this study examined the effect of social media affordances on information quality, knowledge acquisition, and complexity reduction regarding innovation adoption decisions using a quantitative approach. This study’s findings reveal that social media affordances have a significant effect on perceived information quality, knowledge acquisition, and complexity reduction.

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“…In their investigation into emotional stimuli in reacting behaviour of Russian-language Facebook users, Smoliarova et al [202] show that the Love reaction is commonly used straightforwardly, thereby becoming the alternative of the traditional Like. Conversely, the post that evokes the Wow reaction may also be marked with other emoji reactions with a certain level of probability.…”

Section: Future Research Opportunitiesmentioning

confidence: 99%

The Applications of Sentiment Analysis for Russian Language Texts: Current Challenges and Future Perspectives

Smetanin

2020

IEEE Access

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Sentiment analysis has become a powerful tool in processing and analysing expressed opinions on a large scale. While the application of sentiment analysis on English-language content has been widely examined, the applications on the Russian language remains not as well-studied. In this survey, we comprehensively reviewed the applications of sentiment analysis of Russian-language content and identified current challenges and future research directions. In contrast with previous surveys, we targeted the applications of sentiment analysis rather than existing sentiment analysis approaches and their classification quality. We synthesised and systematically characterised existing applied sentiment analysis studies by their source of analysed data, purpose, employed sentiment analysis approach, and primary outcomes and limitations. We presented a research agenda to improve the quality of the applied sentiment analysis studies and to expand the existing research base to new directions. Additionally, to help scholars selecting an appropriate training dataset, we performed an additional literature review and identified publicly available sentiment datasets of Russian-language texts. INDEX TERMS Classification, machine learning, computational linguistics, sentiment analysis, applications of sentiment analysis, Russian-language texts, public opinion.

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Emotional Stimuli in Social Media User Behavior: Emoji Reactions on a News Media Facebook Page

Cited by 22 publications

References 44 publications

Adherence to suicide reporting guidelines by news shared on a social networking platform

Adherence to suicide reporting guidelines by news shared on a social networking platform

Innovation Diffusion: The Influence of Social Media Affordances on Complexity Reduction for Decision Making

The Applications of Sentiment Analysis for Russian Language Texts: Current Challenges and Future Perspectives

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