Emotional Responses Shape the Substance of Information Seeking under Conditions of Threat

Coan, Travis; Merolla, Jennifer L.; Zechmeister, Elizabeth J.; Zizumbo-Colunga, Daniel

doi:10.1177/1065912920949320

Cited by 17 publications

(8 citation statements)

References 48 publications

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“…As an "approach emotion" (R. L. Nabi, 1999), anger tends to move individuals toward-rather than away from-perceived injustices (Harmon-Jones, 2003;Valentino & Neuner, 2017;Valentino et al, 2011). For this reason, anger is frequently associated with confrontational behaviors such as argument seeking (Wiltermuth & Tiedens, 2011), goal achievement (Tibubos et al, 2013), information seeking (Coan et al, 2021;but see, Valentino et al, 2008), and activism (Carnahan et al, 2023;Skurka, 2019;Turner et al, 2020). In light of these characteristics, it is important to first assess the overall effect of anger elicitation on felt anger, as expressed in the first of this study's research questions:…”

Section: Theorizing Angermentioning

confidence: 99%

Is all anger created equal? A meta-analytic assessment of anger elicitation in persuasion research.

Demetriades,

Kalny,

Turner

et al. 2024

Emotion

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Although veritable libraries have been written about anger, the practical and theoretical understanding of its effects has been somewhat hampered by the difficulty of experimentally manipulating this emotion. Thus, key questions related to methodological precision and theoretical clarity remain, specifically with regard to whether and how anger induction techniques may interact with various moderators and elicit other co-occurring emotions in the process. Addressing this gap, a meta-analysis of 31 experimental studies in persuasion offers insights regarding the effect of anger elicitation on felt anger and its sensitivity to a host of theoretically meaningful moderators, as well as the relationship between anger induction and the arousal of other incidental emotions. Findings broadly affirm the complexity of anger as a contested emotion and offer new insight into methodological considerations and theoretical nuances of anger elicitations to be taken into account in persuasion research. These results should be interpreted with the caveat of an exclusive focus on persuasion and a Western-centric corpus of studies, further accenting the need to diversify and expand research into emotions.

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Section: Theorizing Angermentioning

confidence: 99%

Is all anger created equal? A meta-analytic assessment of anger elicitation in persuasion research.

Demetriades,

Kalny,

Turner

et al. 2024

Emotion

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“…This study addresses emotion as the related attribute to political security threats since emotion can influence the sentiments or opinions that affect the political dimension. Figure 2 portrays the relationship between emotion and political security threats based on the study by Coan, Merolla & Zechmeister who stated that 'fear' and 'anger' can influence changing political behaviours and public opinion [29].…”

Section: F National Security Threat Classification For Political Secu...mentioning

confidence: 99%

Political Security Threat Prediction Framework Using Hybrid Lexicon-Based Approach and Machine Learning Technique

et al. 2023

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The internet offers a powerful medium for expressing opinions, emotions and ideas, using online platforms supported by smartphone usage and high internet penetration. Most internet posts are textual based and can include people's emotional feelings for a particular moment or sentiment. Monitoring online sentiments or opinions is important for detecting any excessive emotions triggered by citizens which can lead to unintended consequences and threats to national security. Riots and civil war, for instance, must be addressed due to the risk of jeopardizing social stability and political security, which are crucial elements of national security. Mining opinions according to the national security domain is a relevant research topic that must be enhanced. Mechanisms and techniques that can mine opinions in the aspect of political security require significant improvements to obtain optimum results. Researchers have noted that there is a strong relationship between emotion, sentiment and political security threats. This study proposes a new theoretical framework for predicting political security threats using a hybrid technique: the combination of lexicon-based approach and machine learning in cyberspace. In the proposed framework, Decision Tree, Naive Bayes, and Support Vector Machine have been deployed as threat classifiers. To validate our proposed framework, an experimental analysis is accomplished. The performance of each technique used in the experiments is reported. In this study, our proposed framework reveals that the hybrid Lexicon-based approach with the Decision Tree classifier recorded the highest performance score for predicting political security threats. These findings offer valuable insight to ongoing research on opinion mining in predicting threats based on the political security domain.

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“…Individuals have been shown to express more anger and support greater punishment 37 toward negative 33. Coan et al 2021;Silverman, Kent, andGelpi 2022. 34.…”

Section: Innocents Out-groups and Partisanshipmentioning

confidence: 99%

Terrified or Enraged? Emotional Microfoundations of Public Counterterror Attitudes

Wayne

2023

Int Org

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Despite the widespread assumption of terrorism's “terrifying” effect, there has been little systematic testing of the specific emotional microfoundations underlying public opinion about terrorism. While fear is one well-recognized emotional response to terror threats, in societies where terrorism is rare, anger may play a more pivotal role, with distinct consequences for citizens’ downstream political attitudes. To test the impact of these emotional mechanisms on public opinion in the wake of terrorism, I employ a multi-arm mechanism experiment (n = 5,499) in the United States that manipulates both exposure to news about different types of terror attacks and the encouraged emotional response. I supplement this experimental study with observational analyses of the emotional content of social media posts in the wake of sixteen real-world terror attacks in the United States. I find that not only is anger the dominant emotional response to terrorism across both studies, but also that punitive motivations and support for retaliation are both directly shaped by experimentally induced anger after exposure to news about terrorism. These findings illuminate strategic incentives shaping militants’ use of terror tactics, electoral constraints leaders face in formulating counterterror policy, and the emotional mechanisms fueling cycles of political violence.

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Emotional Responses Shape the Substance of Information Seeking under Conditions of Threat

Cited by 17 publications

References 48 publications

Is all anger created equal? A meta-analytic assessment of anger elicitation in persuasion research.

Is all anger created equal? A meta-analytic assessment of anger elicitation in persuasion research.

Political Security Threat Prediction Framework Using Hybrid Lexicon-Based Approach and Machine Learning Technique

Terrified or Enraged? Emotional Microfoundations of Public Counterterror Attitudes

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