Metaphorical humor in satirical news shows: A content analysis

Satirical news is often characterized as a hybrid genre that consists of three important communicative functions: it is (1) humoristic, (2) informative, and (3) evaluative. The Humoristic Metaphors in Satirical News (HMSN) typology demonstrates that metaphors can be utilized by satirists to express this hybridity by consisting of a combination of one or more of satire’s core communicative functions. Nevertheless, the underlying principles through which metaphors are capable of humorously explaining and/or criticizing current affairs are less clear. To broaden our understanding of how metaphorical humor is used in satirical news to fulfill these functions, we integrate the HMSN typology with the General Theory of Verbal Humor (GTVH). The GTVH assumes that all verbal humor must draw from six interdependent Knowledge Resources (KRs). Through a content analysis of metaphorical humor used across various American satirical news shows, we investigated how these KRs are used to fulfill satire’s core communicative functions across the various metaphorical sub-types of the HSMN typology. We found that: (1) some KRs can help fulfill the communicative function(s) of metaphorical jokes, while (2) some KRs constrain the options available for the expression of certain communicative function(s) or other KRs

On abstraction: decoupling conceptual concreteness and categorical specificity

Conceptual concreteness and categorical specificity are two continuous variables that allow distinguishing, for example, justice (low concreteness) from banana (high concreteness) and furniture (low specificity) from rocking chair (high specificity). The relation between these two variables is unclear, with some scholars suggesting that they might be highly correlated. In this study, we operationalize both variables and conduct a series of analyses on a sample of > 13,000 nouns, to investigate the relationship between them. Concreteness is operationalized by means of concreteness ratings, and specificity is operationalized as the relative position of the words in the WordNet taxonomy, which proxies this variable in the hypernym semantic relation. Findings from our studies show only a moderate correlation between concreteness and specificity. Moreover, the intersection of the two variables generates four groups of words that seem to denote qualitatively different types of concepts, which are, respectively, highly specific and highly concrete (typical concrete concepts denoting individual nouns), highly specific and highly abstract (among them many words denoting human-born creation and concepts within the social reality domains), highly generic and highly concrete (among which many mass nouns, or uncountable nouns), and highly generic and highly abstract (typical abstract concepts which are likely to be loaded with affective information, as suggested by previous literature). These results suggest that future studies should consider concreteness and specificity as two distinct dimensions of the general phenomenon called abstraction

How Satirists Alternate Between Discursive Modes:An Introduction of the Humoristic Metaphors in Satirical News (HMSN) Typology

An important challenge for communication scientists is to characterize and understand hybrid genres. Satirical news is such a hybrid genre and comprises a blend of the genres of comedy, news, and political opinion. This theoretical article aims to contribute to this discussion by further specifying the concept of discursive mode. Discursive modes designate certain communicative orientations toward a particular genre element. We make our argument concrete by introducing a typology of metaphorical humor in satirical news. Our humoristic metaphors in satirical news (HMSN) typology, demonstrates that satirists can realize and switch between 4 different discursive modes through metaphors. These discursive modes comprise different combinations of core rhetorical functions in satirical news (humor, education, and evaluation). We describe each type of metaphor in our typology and present a research agenda identifying key issues that require future research and empirical verification

Optimizing single-mode collection from pointlike sources of single photons with adaptive optics

Army Research Office MURI on Hybrid Quantum Interactions Program W911NF09104.The collection efficiency of light from a point-like emitter may be extremely poor due to aberrations induced by collection optics and the emission distribution of the source. Analyzing the aberrant wavefront (e.g., with a Shack-Hartmann sensor) and correcting accordingly can be infeasible on the single-photon level. We present a technique that uses a genetic algorithm to control a deformable mirror for correcting wavefront aberrations in single-photon signals from point emitters. We apply our technique to both a simulated point source and a real InAs quantum dot, achieving coupling increases of up to 50x00025; and automatic reduction of system drift.PostprintPeer reviewe

The Negation Bias in Stereotype Maintenance : A Replication in Five Languages

Research on linguistic biases shows that stereotypic expectancies are implicitly reflected in language and thereby subtly communicated to message recipients. Research on the Negation Bias shows that the use of negations (e.g., not stupid vs. smart) is more pronounced in descriptions of stereotype-inconsistent compared with stereotype-consistent behaviors. This article reports a replication study of the original research conducted in Dutch, using newly developed materials, and in five different languages: English, Dutch, Hungarian, Finnish, and Serbian. The results validate the existence of the Negation Bias in all five languages. This suggests that negation use serves a similar stereotype-maintaining function across language families.Peer reviewe

Plurality in the Measurement of Social Media Use and Mental Health: An Exploratory Study Among Adolescents and Young Adults

On a daily basis, individuals between 12 and 25 years of age engage with their mobile devices for many hours. Social Media Use (SMU) has important implications for the social life of younger individuals in particular. However, measuring SMU and its effects often poses challenges to researchers. In this exploratory study, we focus on some of these challenges, by addressing how plurality in the measurement and age-specific characteristics of SMU can influence its relationship with measures of subjective mental health (MH). We conducted a survey among a nationally representative sample of Dutch adolescents and young adults (N=3,669). Using these data, we show that measures of SMU show little similarity with each other, and that age-group differences underlie SMU. Similar to the small associations previously shown in social media-effects research, we also find some evidence that greater SMU associates to drops and to increases in MH. Albeit nuanced, associations between SMU and MH were found to be characterized by both linear and quadratic functions. These findings bear implications for the level of association between different measures of SMU and its theorized relationship with other dependent variables of interest in media-effects research

T-cell responses induced by ChAdOx1 nCoV-19 (AZD1222) vaccine to wild-type severe acute respiratory syndrome coronavirus 2 among people with and without HIV in South Africa

Objective(s): This study aimed to investigate severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific T-cell responses 14 days after single-dose ChAdOx1 nCoV-19 (AZD1222) vaccination in black Africans with and without HIV in South Africa, as well as determine the effect of AZD1222 vaccination on cell-mediated immune responses in people with HIV (PWH) with prior SARS-CoV-2 infection. Methods: A total of 70 HIV-uninfected people and 104 PWH were prospectively enrolled in the multicentre, randomized, double-blinded, placebo-controlled, phase Ib/IIa trial (COV005). Peripheral blood mononuclear cells (PBMCs) were collected from trial participants 14 days after receipt of first dose of study treatment (placebo or AZD1222 vaccine). T-cell responses against the full-length spike (FLS) glycoprotein of wild-type SARS-CoV-2 and mutated S-protein regions found in the Alpha, Beta and Delta variants were assessed using an ex-vivo ELISpot assay. Results: Among AZD1222 recipients without preceding SARS-CoV-2 infection, T-cell responses to FLS of wild-type SARS-CoV-2 were similarly common in PWH and HIV-uninfected people (30/33, 90.9% vs. 16/21, 76.2%; P = 0.138); and magnitude of response was similar among responders (78 vs. 56 SFCs/106 PBMCs; P = 0.255). Among PWH, AZD1222 vaccinees with prior SARS-CoV-2 infection, displayed a heightened T-cell response magnitude compared with those without prior infection (186 vs. 78 SFCs/106 PBMCs; P = 0.001); and similar response rate (14/14, 100% vs. 30/33, 90.9%; P = 0.244). Conclusion: Our results indicate comparable T-cell responses following AZD1222 vaccination in HIV-uninfected people and PWH on stable antiretroviral therapy. Our results additionally show that hybrid immunity acquired through SARS-CoV-2 infection and AZD1222 vaccination, induce a heightened T-cell response

Taming our wild data: On intercoder reliability in discourse research

Many research questions in the field of applied linguistics are answered by manually analyzing data collections or corpora: collections of spoken, written and/or visual communicative messages. In this kind of quantitative content analysis, the coding of subjective language data often leads to disagreement among raters. In this paper, we discuss causes of and solutions to disagreement problems in the analysis of discourse. We discuss crucial factors determining the quality and outcome of corpus analyses, and focus on the sometimes tense relation between reliability and validity. We evaluate formal assessments of intercoder reliability. We suggest a number of ways to improve the intercoder reliability, such as the precise specification of the variables and their coding categories and carving up the coding process into smaller substeps. The paper ends with a reflection on challenges for future work in discourse analysis, with special attention to big data and multimodal discourse