{"title":"Coercive impoliteness and blame avoidance in government communication","authors":"Sten Hansson","doi":"10.1016/j.dcm.2024.100770","DOIUrl":"https://doi.org/10.1016/j.dcm.2024.100770","url":null,"abstract":"<div><p>As government officeholders face criticism for misconduct or policy failures, they are tempted to communicate in self-defensive ways. In this paper, I draw attention to how strategic blame avoidance in government may involve coercive impoliteness, that is, the use of expressions that attack the face of (potential) critics with an aim of forcing them to withhold their (future) criticism. Taking a discourse-historical approach to political rhetoric, I present illustrative examples of institutional government messaging from the United States, the United Kingdom, Estonia, and Russia to demonstrate how these face attacks may be accomplished in subtle ways, such as via sarcasm or mock politeness. I discuss the ethical implications of the uses of coercive impoliteness in government communication for democratic debates over public policy issues. The paper contributes to the study of political blame games, language aggression, and incivility in (digitally) mediated contexts.</p></div>","PeriodicalId":46649,"journal":{"name":"Discourse Context & Media","volume":"58 ","pages":"Article 100770"},"PeriodicalIF":2.0,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211695824000163/pdfft?md5=9eb3863a66f3f289b0758a4e61f24361&pid=1-s2.0-S2211695824000163-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140191660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Responding to subtitled K-drama: Artefact-orientation in timed comments","authors":"Thomas C. Messerli, Miriam A. Locher","doi":"10.1016/j.dcm.2024.100756","DOIUrl":"https://doi.org/10.1016/j.dcm.2024.100756","url":null,"abstract":"<div><p>This study examines artefact-orientation in timed comments on the streaming platform Viki and contributes to research on text-based video-oriented communication. Commenters post text messages next to the subtitled videos while they are streaming, and their comments thus relate in specific ways to the artefact they complement. We explore what aspects apparent in fan subtitles are taken up in timed comments by comparing our own corpus of such timed comments (KTACC-A) to our corpus of English fansubtitles to the same Korean television-drama (KSUBV-A). Positioning the comments relative to the fan subtitles allows us to explore the linguistic features that characterise timed commenting as a video-oriented practice and to theorise artefact-orientation in terms of transtextuality. Using noun frequency and keyness as measures of comparison, we confirm the importance of sharing emotive stance and humour support. For artefact orientation, we highlight a shared focus between timed comments and subtitles on the events and characters of the plot. However, in comments, evaluation of such plot elements plays a key role, whereas highly descriptive and specific aspects are either omitted or at times referred to by means of deictic expressions. We emphasise that both comments and subtitles are enrichments of the videos that become themselves part of the artefact and point of orientation for subsequent viewers and discuss the transtextual dimension of timed comments and different types of transtextuality as dimensions along which members of the community may understand the overall artefact.</p></div>","PeriodicalId":46649,"journal":{"name":"Discourse Context & Media","volume":"58 ","pages":"Article 100756"},"PeriodicalIF":2.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211695824000023/pdfft?md5=725597507d554ec732d16f0b7e43f0fb&pid=1-s2.0-S2211695824000023-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140134500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"China Virus, Kung Flu, and MAGA: Countervalues and sociological fractionation on Twitter as evidenced by pro- and anti-Trump discourses in relation to Covid-19","authors":"Paul Cooper, Sofia Lampropoulou","doi":"10.1016/j.dcm.2024.100758","DOIUrl":"https://doi.org/10.1016/j.dcm.2024.100758","url":null,"abstract":"<div><p>This paper seeks to investigate the indexical links (Silverstein, 2003) to social values activated by terms like “covid” and “virus” in tweets from users with opposing political leanings. Our data comes from a corpus of 12,607 tweets collected in both May and August 2020. We focus on tweets containing “Trump”, as these occurred frequently throughout the corpus, to assess the ways in which Twitter users engage with discourses surrounding Covid-19 relative to the then-US President.</p><p>Focusing on the local contexts of the tweets we, first, demonstrate the contrasting social values indexed by specific keywords and hashtags. We refer to these as countervalues (Bearth, 2005) that illustrate the multiple and competing valorisations of terms for Covid-19 and which lead to the reproduction of two main contrasting discourses. The first illustrates that Covid-19 is “fake”, “a hoax”, and is explicitly linked indexically with China and tends to appear in tweets by pro-Trump users. A second set of discourses emerges in opposition to the pro-Trump tweets where categorisations of the virus as fake or a hoax are described by users as moronic, links to China are described as racist, and users demonstrate an explicitly anti-Trump ideology. We conclude that the recirculation of these discourses is evidence of sociological fractionation (Agha, 2007), as we see the pro-Trump group resisting the scheme of values put forward by the anti-Trump group. To this end, we contribute to the body of research that sheds light on the participatory frameworks enabled by social media affordances.</p></div>","PeriodicalId":46649,"journal":{"name":"Discourse Context & Media","volume":"57 ","pages":"Article 100758"},"PeriodicalIF":2.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211695824000047/pdfft?md5=d15ae030b082d6e8bec4f36978da36fd&pid=1-s2.0-S2211695824000047-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140024443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dialogic analysis of government social media communication: How commanding and thanking elicit blame","authors":"Ruth Page , Sten Hansson","doi":"10.1016/j.dcm.2024.100757","DOIUrl":"https://doi.org/10.1016/j.dcm.2024.100757","url":null,"abstract":"<div><p>During major crises, such as the Covid-19 pandemic, government officeholders issue commands to change people’s behaviour (e.g., ‘Stay at home!’) and express thanks to acknowledge the efforts of others and build solidarity. We use specialised datasets of replies to social media posts by government ministers in the United Kingdom during Covid-19 lockdowns to explore how people react to their messages that contain directive speech acts and thanking. Empirically, our corpus-assisted analysis of evaluative language and blaming shows that far from promoting team spirit, thanking may elicit at least as much, if not more blaming language than commands. Methodologically, we demonstrate how to analyse government social media communication dialogically to gain more nuanced insights about online feedback from citizens.</p></div>","PeriodicalId":46649,"journal":{"name":"Discourse Context & Media","volume":"57 ","pages":"Article 100757"},"PeriodicalIF":2.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211695824000035/pdfft?md5=01e24e09b5827bb488fbe78867972b68&pid=1-s2.0-S2211695824000035-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139976071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Disciplined body: How players design their game movements for the machine","authors":"Burak S. Tekin","doi":"10.1016/j.dcm.2023.100754","DOIUrl":"https://doi.org/10.1016/j.dcm.2023.100754","url":null,"abstract":"<div><p>This study examines <em>disciplined body</em> in video game playing activities in which players produce their game moves with their bodies. Disciplined body refers to particularly designed bodily movements, orienting to their recognizability by the machine. Drawing on ethnomethodology and conversation analysis, this study demonstrates that participants endogenously display a sensitivity towards machine’s recognition, through which they point to a need for players to discipline their bodies and produce machine-designed movements. Disciplining the body involves producing the game movements in particular forms required by the machine, calibrating the movements to the constraints of the machine, and timing the movements in coordination with the unfolding games. The analysis provides insights for reflecting on the relations between humans and machines and in particular how the former adapts to the latter. Participants attribute a specific form of agency to the machine to see and recognize the player movements. This necessitates the players to perform their game movements with specific qualities, which deviates from the “natural” human body, arguably leading to dehumanization. This study is based on video-recorded data in which participants speak Turkish.</p></div>","PeriodicalId":46649,"journal":{"name":"Discourse Context & Media","volume":"57 ","pages":"Article 100754"},"PeriodicalIF":2.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211695823000879/pdfft?md5=1e468a5e52c18069e2bc461f8e551aa0&pid=1-s2.0-S2211695823000879-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139901400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multimodal computation or interpretation? Automatic vs. critical understanding of text-image relations in racist memes in English","authors":"Chiara Polli , Maria Grazia Sindoni","doi":"10.1016/j.dcm.2024.100755","DOIUrl":"https://doi.org/10.1016/j.dcm.2024.100755","url":null,"abstract":"<div><p>This paper discusses the epistemological differences between the label ‘multimodal’ in computational and sociosemiotic terms by addressing the challenges of automatic detection of hate speech in racist memes, considered as germane families of multimodal artifacts. Assuming that text-image interplays, such is the case of memes, may be extremely complex to disentangle by AI-driven models, the paper adopts a sociosemiotic multimodal critical approach to discuss the challenges of automatic detection of hateful memes on the Internet. As a case study, we select two different English-language datasets, 1) the Hateful Memes Challenge (HMC) Dataset, which was built by the Facebook AI Research group in 2020, and 2) the Text-Image Cluster (TIC) Dataset, including manually collected user-generated (UG) hateful memes. By discussing different combinations of non-hateful/hateful texts and non-hateful/hateful images, we will show how humour, intertextuality, and anomalous juxtapositions of texts and images, as well as contextual cultural knowledge, may make AI-based automatic interpretation incorrect, biased or misleading. In our conclusions, we will argue the case for the development of computational models that incorporate insights from sociosemiotics and multimodal critical discourse analysis.</p></div>","PeriodicalId":46649,"journal":{"name":"Discourse Context & Media","volume":"57 ","pages":"Article 100755"},"PeriodicalIF":2.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211695824000011/pdfft?md5=34f53fbb557f1af17cea42644e44a543&pid=1-s2.0-S2211695824000011-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139943037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"“I read the rules and know what is expected of me”: The performance of competence and expertise in ‘newbie’ offenders’ membership requests to dark web child abuse communities","authors":"Emily Chiang","doi":"10.1016/j.dcm.2023.100744","DOIUrl":"10.1016/j.dcm.2023.100744","url":null,"abstract":"<div><p>Community-building among groups of child abusers on the ‘dark web’ facilitates the large-scale distribution of indecent imagery and supports individuals in becoming more skilled, more dangerous offenders. Undercover police are tasked with posing as offenders to gather intelligence; however, we know little about the nature of these groups, and especially how one might approach them linguistically as an ‘authentically’ interested outsider. This study analyses rhetorical moves (Swales, 1990) in forum posts from child abuse-related dark web fora by self-identifying ‘newbies’ hoping to join established abuse communities. It identifies 12 distinct moves used in the pursuit to join online abuse communities and finds that expressions of competence and expertise are central to newbies’ attempts to gain community membership. ‘De-lurking’ is identified as a useful strategy in the performance of competence in online forums. These findings can support online undercover policing tasks as well as offender prioritisation.</p></div>","PeriodicalId":46649,"journal":{"name":"Discourse Context & Media","volume":"57 ","pages":"Article 100744"},"PeriodicalIF":2.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211695823000776/pdfft?md5=bdcc4c25d5752ea201b15e11a933a73e&pid=1-s2.0-S2211695823000776-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139471001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"“Say, are you a little ashamed” – Shame allocation and accountability in Israeli news interviews","authors":"Yael Gaulan , Michal Marmorstein , Zohar Kampf","doi":"10.1016/j.dcm.2023.100742","DOIUrl":"https://doi.org/10.1016/j.dcm.2023.100742","url":null,"abstract":"<div><p>In light of the growing emotionalization of public discourse, this article deals with the action of shame allocation in Israeli accountability interviews. A qualitative analysis of tokens of the Hebrew verb <em>lehitbayesh</em><span> ‘to be ashamed’ in political interviews was conducted using Discursive Psychology and Conversation Analysis methods. The findings show that in this public context the verb </span><em>lehitbayesh</em> is mostly not used to convey an emotional state, nor can its meaning be explained by the classic theoretical conceptualization of shame. Instead, <em>lehitbayesh</em> is mobilized to allocate shame to another actor, and portrays the allocator as morally superior and as someone who sacrifices for what is right. <em>Lehitbayesh</em> is part of the negotiations between journalists and politicians over the question of who is accountable for a transgressive act, what the desired response is, and who the relevant audience for the moral lesson is.</p></div>","PeriodicalId":46649,"journal":{"name":"Discourse Context & Media","volume":"56 ","pages":"Article 100742"},"PeriodicalIF":2.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138466927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"‘We are not putschists’: Accountability and the negotiation of membership categories in political news interviews","authors":"Abdulrahman Alroumi","doi":"10.1016/j.dcm.2023.100743","DOIUrl":"https://doi.org/10.1016/j.dcm.2023.100743","url":null,"abstract":"<div><p>This paper observes the emergence of membership categories and their role in the construction of accountability in news interview interactions on two Arabic networks. It adopts a Membership Categorisation Analysis (MCA) to analyse how these categories contribute to the design of interviewers’ questions and interviewees’ answers. The data include twenty-eight hours of recorded Arab news interviews from four shows. The findings demonstrate that there are three interactional patterns in which membership categories are invoked. In the first pattern, interviewees engage in negotiating their incumbency or their political allies in accountable categories in interviewers’ questions. In the second pattern, interviewees display membership categories to obviate the shown accountability, while in the third pattern, they show negation of their incumbency of some categories even though they have not been explicitly included in these categories in interviewers’ questions.</p></div>","PeriodicalId":46649,"journal":{"name":"Discourse Context & Media","volume":"56 ","pages":"Article 100743"},"PeriodicalIF":2.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138466928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}