Fear and Anger Responses to Local News Coverage of Alcohol-Related Crimes, Accidents, and Injuries: Explaining News Effects on Policy Support Using a Representative Sample of Messages and People

Goodall, Catherine E.; Slater, Michael D.; Myers, Teresa

doi:10.1111/jcom.12020

Cited by 44 publications

(42 citation statements)

References 31 publications

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“…Goodall and colleagues (2013) study provides initial evidence for how the emotions evoked by a news story can impact policy support. However, there are a number of limitations that we seek to address, both conceptually and methodologically.…”

Section: News and Discrete Emotionsmentioning

confidence: 99%

“…We know from prior research using closed-end items (Goodall, Slater, & Myers, 2013) that crime and accident news stories mentioning alcohol as a causative factor tends to inspire anger. Since sadness is also an approach emotion with a negative emotional valence, and stories often describe victims of serious crime and unintended injuries, we propose a similar pattern for stories that inspire anger and/or sadness.…”

Section: Relative Concern As An Explanatory Mechanismmentioning

confidence: 99%

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Anger, Sadness, and Fear Responses to Crime and Accident News Stories

Solloway

Slater

Chung

et al. 2013

Journal of Media Psychology

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Prior research shows that discrete emotions, notably anger and fear, can explain effects of news articles on health and alcohol-control policy support. This study advances prior work by coding expressed emotional responses to messages (as opposed to directly manipulated emotions or forced responses), incorporating and controlling for central thoughts, including sadness (a particularly relevant response to tragic stories), and examining concern’s mediating role between emotion and policy support. An experiment with a national online adult panel had participants read one of 60 violent crime or accident news stories, each manipulated to mention or withhold alcohol’s causal contribution. Multi-group structural equation models suggest that stories not mentioning alcohol had a direct effect on policy support via fear and central thoughts, unmediated by concern. When alcohol was mentioned, sadness and anger affects alcohol-control support through concern. Findings help confirm that emotional responses are key in determining news story effects on public support of health policies.

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Section: News and Discrete Emotionsmentioning

confidence: 99%

Section: Relative Concern As An Explanatory Mechanismmentioning

confidence: 99%

Anger, Sadness, and Fear Responses to Crime and Accident News Stories

Solloway

Slater

Chung

et al. 2013

Journal of Media Psychology

Self Cite

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“…A subsequent study using the same statistical modeling approach examined discrete emotions as mediators of the effects of stories with alcohol mentions on public policy support (Goodall, Slater, & Myers, in press). In other study we analyzed concern about personal versus social level or impersonal risk as mediators of policy support as (Slater, Hayes, & Chung, under review).…”

Section: Building a Series Of Studies From A Content Analysismentioning

confidence: 99%

Content Analysis as a Foundation for Programmatic Research in Communication

Slater

2013

Communication Methods and Measures

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Previous arguments that content analyses provide the descriptive foundation for media effects research (McLeod & Reeves, 1980) are extended to include that content analyses can provide a sound and useful foundation for programmatic research by individual communication scientists. I discuss examples from my own work and from that of colleagues in communication and related disciplines. Use of messages sampled and coded in a content analysis in combination with survey data sets or as stimuli in experiments are highlighted. The particular potential for employing larger numbers of randomly sampled messages in experimental designs, and, with use of appropriate statistical methods, being able to generalize to populations of messages, is described.

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“…However, as often happens when dealing with real-world data [see the discussion in Goodall et al (2013)], in order to be suitable for the present investigation, the metaphors had to meet a number of criteria, described below:…”

Section: Methodsmentioning

confidence: 99%

Modeling Semantic Similarity between Metaphor Terms of Visual vs. Linguistic Metaphors through Flickr Tag Distributions

Bolognesi

2016

Front. Commun.

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This study aims at modeling the semantic similarity between metaphor terms by means of a distributional method based on a Big Data stream: Flickr tags. As explained in the article, this distributional model, Flickr Distributional Tagspace (FDT), captures primarily relational similarity between concept pairs, that is, between tags that appear in similar tagsets (and therefore in similar pictures). A long established view in metaphor theory claims that metaphors pertain to the conceptual dimension of meaning, but while different models aim at explaining how language constructs and represents metaphorical conceptual structures, we still know very little about how other modalities (for example, images) achieve metaphor construction and expression. A comprehensive theory, which argues in favor of the conceptual nature of metaphor, cannot afford to be biased toward the analysis and modeling of one specific modality of expression, thus neglecting potential modalityspecific differences. The present study, conducted through FDT, found that visual and linguistic metaphors behave differently, in that the similarity between two aligned concepts in a visual metaphor appears to be significantly higher than the similarity between two concepts aligned in a linguistic metaphor (which, in turn, does not differ substantially from the similarity between two randomly paired concepts). These findings suggest that the relational similarity between two metaphor terms (captured and modeled through FDT) is crucial for visual metaphors but not for linguistic metaphors. An additional content analysis, also reported here, shows that the type of semantic information encoded in the related tags (i.e., the contexts on which the contingency matrices of this distributional method are built) differs, in relation to the modality of the metaphor: while situationrelated and entity-related features are typically associated with concepts aligned in visual metaphors, introspections, and taxonomic features are typically associated with concepts aligned in linguistic metaphors. INTRODUCTIONMetaphor is recognized nowadays as a cognitive mechanism, rather than a simple figure of speech (Lakoff and Johnson, 1980;Lakoff, 1993). Through metaphors, we understand one concept in terms of another concept, the latter being generally perceived as easier or more concrete. On this view, metaphoric expressions, such as our love is at a crossroads, we can't turn back now, together we are not going anywhere, suggest that when we deal with the abstract concept of LOVE (by convention, capital letters are used when referring to a concept or a conceptual domain), we might somehow envision a concrete journey going along a path. This conceptualization allows us to extend the metaphor, and imagine the two lovers as two travelers, the difficulties in the relationship as impediments on the journey, and the lovers' goals as the travel destination. From this complex and rather subconscious conceptual structure (LOVE-IS-JOURNEY), we would then derive metaphoric linguistic expressi...

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Fear and Anger Responses to Local News Coverage of Alcohol-Related Crimes, Accidents, and Injuries: Explaining News Effects on Policy Support Using a Representative Sample of Messages and People

Cited by 44 publications

References 31 publications

Anger, Sadness, and Fear Responses to Crime and Accident News Stories

Anger, Sadness, and Fear Responses to Crime and Accident News Stories

Content Analysis as a Foundation for Programmatic Research in Communication

Modeling Semantic Similarity between Metaphor Terms of Visual vs. Linguistic Metaphors through Flickr Tag Distributions

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