Facebook Reactions as Controversy Proxies: Predictive Models over Italian News

Basile, Angelo; Caselli, Tomasso; Merenda, Flavio; Nissim, Malvina

doi:10.4000/ijcol.514

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…Through these Reactions, users can describe how a post makes them feel by clicking one of five icons: "Angry," "Love," "Haha," "Sad," and "Wow," providing much more versatile feedback than the traditional "Like" (Sturm Wilkerson et al, 2021). Based on these Reactions, researchers have studied the link between emotions and posts by political parties (Eberl et al, 2020), scientific literature (Freeman et al, 2019), news consumption feedback (Larsson, 2018), and controversy in news (Basile et al, 2018;Sriteja et al, 2017). In a way, these studies use Reactions as simplified yet differentiated crowdsourced data on human expression.…”

Section: Introductionmentioning

confidence: 99%

A Sadness Bias in Political News Sharing? The Role of Discrete Emotions in the Engagement and Dissemination of Political News on Facebook

León

Trilling

2021

Social Media + Society

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In this study, we address the role of emotions in political news sharing on Facebook to better understand the complex relationship between journalism, emotions, and politics. Categorizing Facebook Reactions (particularly, the Sad, Angry, Love, and Wow Reactions) according to the discrete emotions model, we evaluate how positive versus negative political content relates to emotional responses, and how this consequentially influences the degree to which articles are shared across social media in the context of an election. We focus on the landmark 2018 Mexican elections to enable a nuanced conversation on how cues of user emotion predict the far-reaching dissemination of news articles on Facebook during a moment of heightened political attention. Our findings demonstrate a negativity bias in news sharing and engagement, showing an outsized prevalence of anger in response to political news. In addition, we provide evidence of a novel sadness bias in the sharing of political coverage, suggesting that emotions considered as deactivating should be reevaluated in the context of social media.

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Section: Introductionmentioning

confidence: 99%

A Sadness Bias in Political News Sharing? The Role of Discrete Emotions in the Engagement and Dissemination of Political News on Facebook

León

Trilling

2021

Social Media + Society

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“…On the basis of these reactions, several researchers have studied the link between emotions and posts by political parties [35] , scientific literature [36,37] , news consumption feedback [38] , and news controversy [39][40][41] .…”

Section: Related Workmentioning

confidence: 99%

Gender-Based Analysis of User Reactions to Facebook Posts

Moudene,

Idrais,

El Abassi

et al. 2024

Big Data Min. Anal.

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Online Social Networks (OSNs) are based on the sharing of different types of information and on various interactions (comments, reactions, and sharing). One of these important actions is the emotional reaction to the content. The diversity of reaction types available on Facebook (namely FB) enables users to express their feelings, and its traceability creates and enriches the users' emotional identity in the virtual world.This paper is based on the analysis of 119 875 012 FB reactions (Like, Love, Haha, Wow, Sad, Angry, Thankful, and Pride) made at multiple levels (publications, comments, and sub-comments) to study and classify the users' emotional behavior, visualize the distribution of different types of reactions, and analyze the gender impact on emotion generation. All of these can be achieved by addressing these research questions: who reacts the most? Which emotion is the most expressed?

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Facebook Reactions as Controversy Proxies: Predictive Models over Italian News

Cited by 2 publications

References 3 publications

A Sadness Bias in Political News Sharing? The Role of Discrete Emotions in the Engagement and Dissemination of Political News on Facebook

A Sadness Bias in Political News Sharing? The Role of Discrete Emotions in the Engagement and Dissemination of Political News on Facebook

Gender-Based Analysis of User Reactions to Facebook Posts

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