Pub Date : 2024-05-08DOI: 10.24434/j.scoms.2024.01.3868
Konstantin Schätz, Susanne Kirchhoff
Media framing facilitates people’s understanding of a threat and affects one’s emotional reaction. It therefore plays a vital role in both individual and societal responses to a public health crisis such as the COVID-19 pandemic. Using a combination of conceptual metaphor analysis and qualitative frame analysis, this article examines how three Austrian newspapers framed the initial national outbreak of COVID-19 in March 2020. The results show that at that early stage, media coverage was primarily concerned with the national government’s political actions to contain the disease. Only a few articles framed the situation in terms of personal experiences and possible economic or social consequences. As has been the case in research reporting on other health crises, metaphors of war, journeys, and natural disasters were used to conceptualize the coronavirus pandemic. Yet, overall, the tone remained neutral, as the media framing was clearly aimed at passing on information and conveying a sense of urgency while at the same time trying to avoid scare tactics.
{"title":"From party to pandemic – Frames and metaphors in the news coverage of the COVID-19 outbreak in Austria","authors":"Konstantin Schätz, Susanne Kirchhoff","doi":"10.24434/j.scoms.2024.01.3868","DOIUrl":"https://doi.org/10.24434/j.scoms.2024.01.3868","url":null,"abstract":"Media framing facilitates people’s understanding of a threat and affects one’s emotional reaction. It therefore plays a vital role in both individual and societal responses to a public health crisis such as the COVID-19 pandemic. Using a combination of conceptual metaphor analysis and qualitative frame analysis, this article examines how three Austrian newspapers framed the initial national outbreak of COVID-19 in March 2020. The results show that at that early stage, media coverage was primarily concerned with the national government’s political actions to contain the disease. Only a few articles framed the situation in terms of personal experiences and possible economic or social consequences. As has been the case in research reporting on other health crises, metaphors of war, journeys, and natural disasters were used to conceptualize the coronavirus pandemic. Yet, overall, the tone remained neutral, as the media framing was clearly aimed at passing on information and conveying a sense of urgency while at the same time trying to avoid scare tactics.","PeriodicalId":38434,"journal":{"name":"Studies in Communication Sciences","volume":" 40","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141000873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-08DOI: 10.24434/j.scoms.2024.01.4270
Elena Musi, Edgar Everardo Garcia Aguilar, Lorenzo Federico
The hype on generative AI has raised concerns about the spread of disinformation but also opened up new opportunities for hybrid journalism. The proliferation of political propaganda campaigns spread across digital media during election periods constitutes a challenge for journalists who struggle to exercise information gatekeeping. AI-based tools can in principle help, but journalists are resistant to using them since they are sceptical about their compliance with news values and their scarce user-friendliness. To cope with such issues, we present Botlitica, a GPT3-based chatbot able to answer users’ questions according to the information shared on different social media by a given political party which is, thus, embodied by the AI agent in the conversation. The back-end and front-design of the chatbot are devised to privilege transparency. We report the results of a preliminary evaluation of Botlitica which show that the tool fastens journalists’ capabilities to navigate propaganda campaigns inducing them to exercise critical thinking.
{"title":"Botlitica: A generative AI-based tool to assist journalists in navigating political propaganda campaigns","authors":"Elena Musi, Edgar Everardo Garcia Aguilar, Lorenzo Federico","doi":"10.24434/j.scoms.2024.01.4270","DOIUrl":"https://doi.org/10.24434/j.scoms.2024.01.4270","url":null,"abstract":"The hype on generative AI has raised concerns about the spread of disinformation but also opened up new opportunities for hybrid journalism. The proliferation of political propaganda campaigns spread across digital media during election periods constitutes a challenge for journalists who struggle to exercise information gatekeeping. AI-based tools can in principle help, but journalists are resistant to using them since they are sceptical about their compliance with news values and their scarce user-friendliness. To cope with such issues, we present Botlitica, a GPT3-based chatbot able to answer users’ questions according to the information shared on different social media by a given political party which is, thus, embodied by the AI agent in the conversation. The back-end and front-design of the chatbot are devised to privilege transparency. We report the results of a preliminary evaluation of Botlitica which show that the tool fastens journalists’ capabilities to navigate propaganda campaigns inducing them to exercise critical thinking.","PeriodicalId":38434,"journal":{"name":"Studies in Communication Sciences","volume":" 85","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141000678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-08DOI: 10.24434/j.scoms.2024.01.3894
Seraina Tarnutzer, K. Lobinger, Federico Lucchesi
In visual communication research there are already several methodological approaches for creating image types. These approaches work with creating typologies based on the representational features of visuals / image motifs, reducing the complexity of extensive visual material. However, we argue that in everyday visual communication, the meaning of images depends largely on the practices in which they are embedded and not on the motif. This paper’s aim is to propose a methodological design for an image type analysis that considers both the representational and the artifact-related component of images, following a texto-material understanding of images. We illustrate the procedure step by step through an empirical study that explores visuals in couple relationships in Switzerland. The method enables a qualitative analysis of a large number of visuals that combines a) the creation of image types and b) a dynamic approach to in-depth visual analysis. Image types resulting from this procedure are more heterogeneous in motifs compared to previous traditions of image type analysis but allow for considering both the visual and the material dimensions of visuals, e.g., practices in which images are embedded. The approach builds on existing methods and contributes to the advancements of methods within visual communication research.
在视觉传播研究中，已经有几种创建图像类型的方法。这些方法根据视觉效果/图像主题的表现特征来创建类型，从而降低了大量视觉材料的复杂性。然而，我们认为，在日常视觉交流中，图像的意义在很大程度上取决于图像所蕴含的实践，而不是主题。本文旨在提出一种图像类型分析的方法论设计，该设计同时考虑了图像的表象和与人工制品相关的部分，遵循了对图像的文本-材料理解。我们通过一项实证研究逐步说明了这一过程，该研究探讨了瑞士夫妻关系中的视觉效果。这种方法可以对大量的视觉图像进行定性分析，并将 a) 图像类型的创建和 b) 深入视觉分析的动态方法结合起来。与以往的图像类型分析方法相比，该方法所产生的图像类型在主题方面更加多样化，但同时也考虑到了视觉效果和视觉效果的物质层面，例如图像嵌入其中的实践。这种方法建立在现有方法的基础上，有助于推进视觉传播研究方法的发展。
{"title":"Image types revisited. A texto-material approach for creating image types","authors":"Seraina Tarnutzer, K. Lobinger, Federico Lucchesi","doi":"10.24434/j.scoms.2024.01.3894","DOIUrl":"https://doi.org/10.24434/j.scoms.2024.01.3894","url":null,"abstract":"In visual communication research there are already several methodological approaches for creating image types. These approaches work with creating typologies based on the representational features of visuals / image motifs, reducing the complexity of extensive visual material. However, we argue that in everyday visual communication, the meaning of images depends largely on the practices in which they are embedded and not on the motif. This paper’s aim is to propose a methodological design for an image type analysis that considers both the representational and the artifact-related component of images, following a texto-material understanding of images. We illustrate the procedure step by step through an empirical study that explores visuals in couple relationships in Switzerland. The method enables a qualitative analysis of a large number of visuals that combines a) the creation of image types and b) a dynamic approach to in-depth visual analysis. Image types resulting from this procedure are more heterogeneous in motifs compared to previous traditions of image type analysis but allow for considering both the visual and the material dimensions of visuals, e.g., practices in which images are embedded. The approach builds on existing methods and contributes to the advancements of methods within visual communication research.","PeriodicalId":38434,"journal":{"name":"Studies in Communication Sciences","volume":" 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141000907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-08DOI: 10.24434/j.scoms.2024.01.5243
Wolfgang Reißmann, Ulla Autenrieth, Rebecca Venema
In November 2021, the Visual Communication Division of the German Communication Association (DGPuK) celebrated its 20th anniversary at the University of Trier with a one-year pandemic delay. Marion G. Müller, Katharina Christ and Christof Barth organized an excellent conference to mark the occasion and to reflect on past and current trends, topics, and challenges in visual communication research. Resuming the thematic scope of the division’s first conference held in Hamburg in 2000, the conference focused on “The power of images – Images of power. On visual political communication in digital contexts.” While analyses of press photography in the tradition of political iconology were the main approaches twenty years ago, the program of the anniversary conference demonstrated diversified thematic foci and methodological approaches. The presentations examined a broad range of visual digital media and visual communication exerted by various actors ranging from the press to politicians to activists and citizens. Concurrently, we also saw a considerable diversity concerning methodological approaches and a rising influence of computational methods for analyzing the increasingly large numbers of images in digital media environments. With the panel “Image type / image cluster analysis as an approach to analyzing large numbers of images in online environments,” a discussion on diverse methodological approaches and their potentials and challenges among our members started. After the conference, we decided to open up our internal discussion and reach out to international colleagues working on similar questions. The long-term result is this Thematic Section on diverse methods for structuring image data corpora drawing on different traditions of visual analysis.
{"title":"Images, clusters and types – Making sense of (large) image corpora and related practices in and with digital media","authors":"Wolfgang Reißmann, Ulla Autenrieth, Rebecca Venema","doi":"10.24434/j.scoms.2024.01.5243","DOIUrl":"https://doi.org/10.24434/j.scoms.2024.01.5243","url":null,"abstract":"In November 2021, the Visual Communication Division of the German Communication Association (DGPuK) celebrated its 20th anniversary at the University of Trier with a one-year pandemic delay. Marion G. Müller, Katharina Christ and Christof Barth organized an excellent conference to mark the occasion and to reflect on past and current trends, topics, and challenges in visual communication research. Resuming the thematic scope of the division’s first conference held in Hamburg in 2000, the conference focused on “The power of images – Images of power. On visual political communication in digital contexts.” While analyses of press photography in the tradition of political iconology were the main approaches twenty years ago, the program of the anniversary conference demonstrated diversified thematic foci and methodological approaches. The presentations examined a broad range of visual digital media and visual communication exerted by various actors ranging from the press to politicians to activists and citizens. Concurrently, we also saw a considerable diversity concerning methodological approaches and a rising influence of computational methods for analyzing the increasingly large numbers of images in digital media environments. With the panel “Image type / image cluster analysis as an approach to analyzing large numbers of images in online environments,” a discussion on diverse methodological approaches and their potentials and challenges among our members started. After the conference, we decided to open up our internal discussion and reach out to international colleagues working on similar questions. The long-term result is this Thematic Section on diverse methods for structuring image data corpora drawing on different traditions of visual analysis.","PeriodicalId":38434,"journal":{"name":"Studies in Communication Sciences","volume":" 49","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141000807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-08DOI: 10.24434/j.scoms.2024.01.3919
Michael R. Müller
This paper explores the phenomenon of iconic image clusters and presents a method for analyzing them. It specifically focuses on compiling individual images into extensive image clusters, such as weblogs, photo series, or image galleries. The analytical interest in this topic is based on the assumption that the compilation and presentation of images are independent means of expression and presentation in visual media. Iconic image clusters can emphasize thematic aspects, highlight contrasts, create styles, or provide visual evidence. In other words, iconic image clusters reflect several communicative possibilities that arise from the technical reproducibility of images. Iconic image clusters belong to the subclass of contemporary hypertext / hyperimage phenomena in media theory and are manifestations of the human ability to generate meaning through relations of similarity and difference in communication theory. This article addresses how iconic image clusters can be analyzed validly. It discusses the communicative structure and functioning of such clusters and proposes a procedure for their analysis. The proposed method is illustrated with examples, including a photographic weblog.
{"title":"Iconic image clusters: Significance, structure, and analysis","authors":"Michael R. Müller","doi":"10.24434/j.scoms.2024.01.3919","DOIUrl":"https://doi.org/10.24434/j.scoms.2024.01.3919","url":null,"abstract":"This paper explores the phenomenon of iconic image clusters and presents a method for analyzing them. It specifically focuses on compiling individual images into extensive image clusters, such as weblogs, photo series, or image galleries. The analytical interest in this topic is based on the assumption that the compilation and presentation of images are independent means of expression and presentation in visual media. Iconic image clusters can emphasize thematic aspects, highlight contrasts, create styles, or provide visual evidence. In other words, iconic image clusters reflect several communicative possibilities that arise from the technical reproducibility of images. Iconic image clusters belong to the subclass of contemporary hypertext / hyperimage phenomena in media theory and are manifestations of the human ability to generate meaning through relations of similarity and difference in communication theory. This article addresses how iconic image clusters can be analyzed validly. It discusses the communicative structure and functioning of such clusters and proposes a procedure for their analysis. The proposed method is illustrated with examples, including a photographic weblog.","PeriodicalId":38434,"journal":{"name":"Studies in Communication Sciences","volume":" 67","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141000721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-20DOI: 10.24434/j.scoms.2024.01.3886
Carlos Roberto Gaspar Teixeira, Roberto Tietzmann
This article seeks to understand how the Cultural Analytics’ methodological approach and computational tools help interpret large image datasets. A set of 87 730 images of 389 Olympic athletes was collected from Instagram and analyzed, featuring a timespan from September 2011 to November 2020. The image set was structured and organized using computer vision processing combined with interactive visualization tools (Google Vision, PixPlot, Image Network Plotter). The analysis, mixing quantitative and qualitative methods, identified patterns represented as image clusters. Regular personal computers served as the hardware platform. Approximately 60 % of the athletes’ posts were related to non-sports topics, highlighting common characteristics of the visual culture disseminated on Instagram, such as selfies, lifestyle, leisure, travel, and food. Images of sports content, considered a central aspect of the research, had a lower frequency of publications featuring topics such as competitions, training, exercises, and sports practices in general. Beyond this result, the study offers a possible technical framework for similar researchers using large image datasets.
{"title":"Medals and likes: A methodology for big data image dataset analysis of Olympic athletic beauty on Instagram","authors":"Carlos Roberto Gaspar Teixeira, Roberto Tietzmann","doi":"10.24434/j.scoms.2024.01.3886","DOIUrl":"https://doi.org/10.24434/j.scoms.2024.01.3886","url":null,"abstract":"This article seeks to understand how the Cultural Analytics’ methodological approach and computational tools help interpret large image datasets. A set of 87 730 images of 389 Olympic athletes was collected from Instagram and analyzed, featuring a timespan from September 2011 to November 2020. The image set was structured and organized using computer vision processing combined with interactive visualization tools (Google Vision, PixPlot, Image Network Plotter). The analysis, mixing quantitative and qualitative methods, identified patterns represented as image clusters. Regular personal computers served as the hardware platform. Approximately 60 % of the athletes’ posts were related to non-sports topics, highlighting common characteristics of the visual culture disseminated on Instagram, such as selfies, lifestyle, leisure, travel, and food. Images of sports content, considered a central aspect of the research, had a lower frequency of publications featuring topics such as competitions, training, exercises, and sports practices in general. Beyond this result, the study offers a possible technical framework for similar researchers using large image datasets.","PeriodicalId":38434,"journal":{"name":"Studies in Communication Sciences","volume":"18 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138955151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-16DOI: 10.24434/j.scoms.2024.01.3883
Wolfgang Reißmann, Miriam Siemon, Moe Kinoshita
This paper reports a methodological exploration combining image network analysis and standardized practice analysis on social media data. Through applying the open source software Memespector to access the Clarifai API, the potential of an easy-at-hand image tagging tool as an instrument to manage larger data corpora is explored. Using the example of the German-speaking Twitter hashtag #systemrelevant, we relate image clusters to the results of standardized practice analysis of posts that contain images. The proposed method is intended for research that attempts to carve out the co-constituting of public discourse in social media by different groups of actors. The approach systematically differentiates the contributions of societal groups such as journalism, civil society, or private individuals, and the embedding of their tweets in selected anchoring practices and further modalities of participation. Altogether, the multistep analytical process offers a possible approach to process larger image corpora, while maintaining a sensitivity for the practice-theoretical demand of (re)contextualizing image use.
{"title":"Image networks and practice analysis of larger data corpora. An approach to cluster and recontextualize visual practice in social media","authors":"Wolfgang Reißmann, Miriam Siemon, Moe Kinoshita","doi":"10.24434/j.scoms.2024.01.3883","DOIUrl":"https://doi.org/10.24434/j.scoms.2024.01.3883","url":null,"abstract":"This paper reports a methodological exploration combining image network analysis and standardized practice analysis on social media data. Through applying the open source software Memespector to access the Clarifai API, the potential of an easy-at-hand image tagging tool as an instrument to manage larger data corpora is explored. Using the example of the German-speaking Twitter hashtag #systemrelevant, we relate image clusters to the results of standardized practice analysis of posts that contain images. The proposed method is intended for research that attempts to carve out the co-constituting of public discourse in social media by different groups of actors. The approach systematically differentiates the contributions of societal groups such as journalism, civil society, or private individuals, and the embedding of their tweets in selected anchoring practices and further modalities of participation. Altogether, the multistep analytical process offers a possible approach to process larger image corpora, while maintaining a sensitivity for the practice-theoretical demand of (re)contextualizing image use.","PeriodicalId":38434,"journal":{"name":"Studies in Communication Sciences","volume":"51 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138995602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-09DOI: 10.24434/j.scoms.2023.03.4415
Franziska Oehmer-Pedrazzi, S. Kessler, Edda Humprecht, K. Sommer, Laia Castro
Die Open Access Database of Variables for Content Analysis DOCA sammelt, systematisiert und evaluiert Operationalisierungen für die standardisierte manuelle und automatisierte Inhaltsanalyse in der Kommunikationswissenschaft. DOCA soll Forschenden das Finden von geeigneten und etablierten bzw. getesteten Operationalisierungen (sowie den gesamten Codebüchern) für die standardisierte Inhaltsanalyse erleichtern. Für die kommunikationswissenschaftliche Forschung soll dies mit einer besseren Vergleichbarkeit inhaltsanalytischer Studien und Projekte sowie einer erhöhten Bedeutungszuschreibung der Transparenz von Operationalisierungen und Qualitätsindikatoren einhergehen. Mit dem vorliegenden Steckbrief sind zwei zentrale Zielsetzungen verbunden: Erstens soll über DOCA und deren Einsatzgebiete informiert werden und so auch der Bekanntheitsgrad dieser Forschungsinfrastruktur gesteigert werden. Zweitens soll dieser Artikel aus der Perspektive der Herausgeberinnen den Prozess und die damit verbundenen Herausforderungen für die Konzeption, Realisation und Aufrechterhaltung einer Forschungsinfrastruktur darlegen. The Open Access Database of Variables for Content Analysis (DOCA) collects, systematizes, and evaluates operationalizations for standardized manual and automatic content analysis in the field of communication science. DOCA aims to facilitate researchers in finding suitable and established or tested operationalizations (as well as complete codebooks) for standardized content analysis. For communication science research, this is expected to result in increased comparability of content analytic studies and projects, as well as greater emphasis on the transparency of operationalizations and quality indicators. The present fact sheet is associated with two central objectives: firstly, to provide information about DOCA and its applications, thereby increasing awareness of this research infrastructure. Secondly, from the personal perspective of the editors, this article aims to outline the process and associated challenges involved in the conception, realization, and maintenance of a research database.
{"title":"Steckbrief «DOCA – Database of Variables for Content Analysis». Zur Relevanz, Zielstellung, Inhalt und Partizipationsmöglichkeiten der Datenbank für Operationalisierungen der standardisierten Inhaltsanalyse","authors":"Franziska Oehmer-Pedrazzi, S. Kessler, Edda Humprecht, K. Sommer, Laia Castro","doi":"10.24434/j.scoms.2023.03.4415","DOIUrl":"https://doi.org/10.24434/j.scoms.2023.03.4415","url":null,"abstract":"Die Open Access Database of Variables for Content Analysis DOCA sammelt, systematisiert und evaluiert Operationalisierungen für die standardisierte manuelle und automatisierte Inhaltsanalyse in der Kommunikationswissenschaft. DOCA soll Forschenden das Finden von geeigneten und etablierten bzw. getesteten Operationalisierungen (sowie den gesamten Codebüchern) für die standardisierte Inhaltsanalyse erleichtern. Für die kommunikationswissenschaftliche Forschung soll dies mit einer besseren Vergleichbarkeit inhaltsanalytischer Studien und Projekte sowie einer erhöhten Bedeutungszuschreibung der Transparenz von Operationalisierungen und Qualitätsindikatoren einhergehen. Mit dem vorliegenden Steckbrief sind zwei zentrale Zielsetzungen verbunden: Erstens soll über DOCA und deren Einsatzgebiete informiert werden und so auch der Bekanntheitsgrad dieser Forschungsinfrastruktur gesteigert werden. Zweitens soll dieser Artikel aus der Perspektive der Herausgeberinnen den Prozess und die damit verbundenen Herausforderungen für die Konzeption, Realisation und Aufrechterhaltung einer Forschungsinfrastruktur darlegen.\u0000The Open Access Database of Variables for Content Analysis (DOCA) collects, systematizes, and evaluates operationalizations for standardized manual and automatic content analysis in the field of communication science. DOCA aims to facilitate researchers in finding suitable and established or tested operationalizations (as well as complete codebooks) for standardized content analysis. For communication science research, this is expected to result in increased comparability of content analytic studies and projects, as well as greater emphasis on the transparency of operationalizations and quality indicators. The present fact sheet is associated with two central objectives: firstly, to provide information about DOCA and its applications, thereby increasing awareness of this research infrastructure. Secondly, from the personal perspective of the editors, this article aims to outline the process and associated challenges involved in the conception, realization, and maintenance of a research database.","PeriodicalId":38434,"journal":{"name":"Studies in Communication Sciences","volume":"16 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138585568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-09DOI: 10.24434/j.scoms.2023.03.3969
Michelle Möri, D. Wirz, Andreas Fahr
Parasocial relationships are examined in diverse contexts and with various media characters, from news presenters to fictional movie heroes. A popular character trope in recent productions is the morally ambiguous media character (MAC). MACs disrupt the dichotomy between hero and villain, simultaneously exhibiting moral and immoral behavior. MACs attracted the attention of researchers, but little is known about parasocial relationships with them. This study examines these relationships by applying a multidimensional morality approach. The five moral domains of care, fairness, loyalty, authority, and purity are considered for the media character and the viewers. The role of these moral domains in parasocial relationships with morally ambiguous media characters was examined through an online survey (N = 250). The results show that moral behavior generally and moral behavior in care, fairness, and loyalty increased the strength of parasocial relationships, regardless of the viewer’s moral foundations. The characters’ behavior in authority and purity did not influence the viewers’ general morality perception nor their parasocial relationships with them. The study contributes to the existing literature about MACs by considering viewers’ parasocial relationships, their moral foundations, and the perceived morality in each of the five moral domains.
{"title":"Parasocial relationships with morally ambiguous media characters – the role of moral foundations","authors":"Michelle Möri, D. Wirz, Andreas Fahr","doi":"10.24434/j.scoms.2023.03.3969","DOIUrl":"https://doi.org/10.24434/j.scoms.2023.03.3969","url":null,"abstract":"Parasocial relationships are examined in diverse contexts and with various media characters, from news presenters to fictional movie heroes. A popular character trope in recent productions is the morally ambiguous media character (MAC). MACs disrupt the dichotomy between hero and villain, simultaneously exhibiting moral and immoral behavior. MACs attracted the attention of researchers, but little is known about parasocial relationships with them. This study examines these relationships by applying a multidimensional morality approach. The five moral domains of care, fairness, loyalty, authority, and purity are considered for the media character and the viewers. The role of these moral domains in parasocial relationships with morally ambiguous media characters was examined through an online survey (N = 250). The results show that moral behavior generally and moral behavior in care, fairness, and loyalty increased the strength of parasocial relationships, regardless of the viewer’s moral foundations. The characters’ behavior in authority and purity did not influence the viewers’ general morality perception nor their parasocial relationships with them. The study contributes to the existing literature about MACs by considering viewers’ parasocial relationships, their moral foundations, and the perceived morality in each of the five moral domains.","PeriodicalId":38434,"journal":{"name":"Studies in Communication Sciences","volume":"4 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138586156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-09DOI: 10.24434/j.scoms.2023.03.4403
Niels G. Mede
Populist criticism has become a significant challenge for science and science communication. Such criticism maintains that allegedly corrupt academic elites and their expertise are inferior to allegedly virtuous “ordinary people” and their common sense. It suggests that the people, rather than elites, should have authority over how “true knowledge” is produced and communicated. This dissertation provides a conceptual and empirical analysis of populist science criticism against the backdrop of science communication scholarship and practice. It develops a theoretical framework for populist demands toward science, conceptualizing them as science-related populism. It also introduces a novel measure to investigate science-related populism in surveys – the SciPop Scale – and provides empirical evidence on populist science criticism in Switzerland and beyond. Moreover, the dissertation discusses implications of science-related populism for public discourse about science as well as science communication practice and proposes ways to respond to it.
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