What’s in a post? How sentiment and issue salience affect users’ emotional reactions on Facebook

Eberl, Jakob-Moritz; Tolochko, Petro; Jost, Pablo; Heidenreich, Tobias; Boomgaarden, Hajo G.

doi:10.1080/19331681.2019.1710318

Cited by 85 publications

(71 citation statements)

References 70 publications

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“…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. This suggests that the expression of anger in relation to suicide-related news and resultant social actions are a nuanced area that merits further research.…”

Section: Discussioncontrasting

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: Discussioncontrasting

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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“…First, they convey a clear emotional connotation about how Facebook users respond to specific pieces of content. Indeed, Eberl et al (2020) show that these reactions are correlated as expected with the sentiment expressed in post texts, which differs from the much more ambiguous Like reactions (Gerlitz and Helmond, 2013). Like reactions are a signal of support for a post, but can convey wildly different emotions depending on the specific content.…”

mentioning

confidence: 66%

“…In many cases the content of the post seems to be a driving factor with, for instance, angry rhetoric garnering Angry reactions (Eberl et al, 2020). However, these examples also…”

Section: How Facebook Reactions Reflect Emotional Responsesmentioning

confidence: 99%

Love and Anger in Global Party Politics

Muraoka

Montgomery

Lucas

et al. 2021

JQD

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The reactions feature of Facebook provides an opportunity to explore emotional responses to political messages across the globe on a common platform. In this article, we describe this new measure and present a dataset of over two million posts from the Facebook pages of 690 political parties in 79 democracies. We study Love and Angry reactions to these posts, their potential use as measures of emotional response, and party-level variation in the frequency of these reactions. We find that parties receive systematically different proportions of Love and Angry reactions depending on their ideology, party family, and populist orientation. More extreme parties tend to elicit relatively greater emotional responses. Nationalist, populist, and right-leaning parties in particular elicit a higher proportion of Angry reactions and emotional polarization.

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“…In this paper, user identity is a binary value, with 1 for users with identity and 0 for others. A user’s influence is measured by the number of followers, and in social media, the number of followers is a visual indicator of a user’s influence within the platform [ 66 , 67 ]. Since a small number of users have a much larger number of followers than the average, we took the logarithm of the number of followers in order to avoid problems caused by data deviation.…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, when a poster has a title, it enhances the authenticity of their identity. In terms of a user’s influence, simple cues, such as the number of followers, can imply the influence of a user within the community [ 66 , 67 ]. For example, a user’s number of followers can give an indication of how many people will see the message posted by them.…”

Section: Theoretical Background and Hypothesismentioning

confidence: 99%

Why Do Users of Online Mental Health Communities Get Likes and Reposts: A Combination of Text Mining and Empirical Analysis

Liu

Kong

2021

Healthcare

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An online community is one of the important ways for people with mental disorders to receive assistance and obtain support. This study aims to help users with mental disorders to obtain more support and communication through online communities, and to provide community managers with the possible influence mechanisms based on the information adoption model. We obtained a total of 49,047 posts of an online mental health communities in China, over a 40-day period. Then we used a combination of text mining and empirical analysis. Topic and sentiment analysis were used to derive the key variables—the topic of posts that the users care about most, and the emotion scores contained in posts. We then constructed a theoretical model based on the information adoption model. As core independent variables of information quality, on online mental health communities, the topic of social experience in posts (0.368 ***), the topic of emotional expression (0.353 ***), and the sentiment contained in the text (0.002 *) all had significant positive relationships with the number of likes and reposts. This study found that the users of online mental health communities are more attentive to the topics of social experience and emotional expressions, while they also care about the non-linguistic information. This study highlights the importance of helping community users to post on community-related topics, and gives administrators possible ways to help users gain the communication and support they need.

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What’s in a post? How sentiment and issue salience affect users’ emotional reactions on Facebook

Cited by 85 publications

References 70 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

Love and Anger in Global Party Politics

Why Do Users of Online Mental Health Communities Get Likes and Reposts: A Combination of Text Mining and Empirical Analysis

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