Journal of Broadcasting & Electronic Media最新文献

{"title":"Multiple Relationships between Streaming and Linear TV: Examining Media Substitution Theory Using Big Data","authors":"Takayuki Yamatsu, Sang-gil Lee","doi":"10.1080/08838151.2023.2250039","DOIUrl":"https://doi.org/10.1080/08838151.2023.2250039","url":null,"abstract":"With the prevalence of connected TV, streaming is replacing linear TV while expanding its functionality. To structurally explain this replacement based on functional similarity, we applied two-way fixed-effects regression to log data from 197,273 smart TVs in Japan from July 2019 to June 2022. Results showed that professional videos on demand primarily substituted linear TV’s recorded viewing, dramas, and movies, whereas substitution by YouTube was broader. Catch-up streaming substituted recorded viewing while complementing viewing without recording. These multiple relationships support the applicability of media substitution theory and foreshadow that functional expansion of streaming would further contribute to linear TV’s replacement.","PeriodicalId":48051,"journal":{"name":"Journal of Broadcasting & Electronic Media","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135840187","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":"Engagement in Social Distancing: An Empirical Test of Media, Intra-Family and Doctor-Patient Communication During the COVID-19 Pandemic","authors":"Hongliang Chen, David J. Atkin, Qike Jia","doi":"10.1080/08838151.2023.2245094","DOIUrl":"https://doi.org/10.1080/08838151.2023.2245094","url":null,"abstract":"ABSTRACT Based on the theory of planned behavior (TPB), this study investigated how media presentations, intra-family communication, and doctor-patient communication influence compliance with social distancing orders during the initial COVID-19 outbreak. Results from an online survey in China suggested that media risk communication, intra-family communication, and doctor-patient communication enhanced respondents’ intention for social distancing via the mediations of positive attitudes, subjective norms, and perceived behavioral control. Additionally, trust in government, information verification, and active media engagement can improve the outcome of risk communication. This study underscores the value of TPB framework in fostering health promotion. By analyzing the interplay between psychological constructs and communication channels, this research contributes to a nuanced understanding of compliance behavior amid pandemics, facilitating informed policy-making and promoting public cooperation. Ultimately, these insights illuminate pathways to cultivate informed decision-making and responsible actions during health crises.","PeriodicalId":48051,"journal":{"name":"Journal of Broadcasting & Electronic Media","volume":"67 1","pages":"507 - 529"},"PeriodicalIF":3.2,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49505460","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":"Expectancy Violations, Message Elaboration, and It Can Wait® Messages","authors":"Sam R. Wilson, B. Quick, Salah H Al-Ghaithi","doi":"10.1080/08838151.2023.2245937","DOIUrl":"https://doi.org/10.1080/08838151.2023.2245937","url":null,"abstract":"ABSTRACT We apply a test and extension of Expectancy Violations Theory (EVT) to AT&T’s It Can Wait® promotional messages. Though promising, EVT remains underutilized in mass media contexts. We propose that message elaboration mediates the effects of violating audience expectations of message novelty, dramatic impact, and emotional arousal. Findings indicated that emotional arousal and dramatic impact violations had indirect effects on persuasiveness through message elaboration. This study contributes to theory by providing evidence that in mediated contexts violating message expectations can lead to greater persuasion. Implications for incorporating audience expectations into the design of safety messages are discussed.","PeriodicalId":48051,"journal":{"name":"Journal of Broadcasting & Electronic Media","volume":"67 1","pages":"423 - 441"},"PeriodicalIF":3.2,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47310329","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":"COVID-19 Compliance and Media Consumption: A Longitudinal Study of Finland and the US During the First Year of COVID-19","authors":"A. Koivula, P. Räsänen, Eetu Marttila, Donna Sedgwick, J. Hawdon","doi":"10.1080/08838151.2023.2226276","DOIUrl":"https://doi.org/10.1080/08838151.2023.2226276","url":null,"abstract":"ABSTRACT The article examines media consumption and compliance with health-protective measures during the COVID-19 pandemic. Two-wave, longitudinal surveys were conducted in Finland and the United States in April 2020 and October 2020, with a total of 1,380 participants (N = 1,380). The variables analyzed included daily consumption of different media channels (broadcast, print, and social media), health-protective behavior, and COVID-19 self-efficacy. The results indicated that individuals who consumed more than one media channel on a daily basis exhibited increased health-protective behavior and COVID-19 self-efficacy in both countries. One-sided and social media-based media consumption showed a negative association with health-protective behavior and COVID-19 self-efficacy in both countries. Finally, COVID-19 self-efficacy was found to mediate the relationship between media consumption and health-protective behavior in both countries, with a stronger effect observed in the United States.","PeriodicalId":48051,"journal":{"name":"Journal of Broadcasting & Electronic Media","volume":"67 1","pages":"530 - 552"},"PeriodicalIF":3.2,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49509515","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":"What Are the Morals of Video Game Stories? A Content Analysis of the Most Popular Video Games","authors":"Marina Klimenko, Kevin Kapadia, Gaillot Jr Andre","doi":"10.1080/08838151.2023.2226280","DOIUrl":"https://doi.org/10.1080/08838151.2023.2226280","url":null,"abstract":"ABSTRACT A content analysis of moral content in the most popular video game franchises with stories between 1996 and 2021 was conducted. The results of the study revealed that there were, on average, 19 moral themes per 3-hour gameplay, and more acts followed basic moral principles. Binding morals (with group loyalty) was the most frequently depicted moral domain; individualizing immoral acts received more negative evaluations. Most moral and immoral acts received no consequences. There was a significant increase in all moral domains from 1996 to 2021. The significance of the findings, as well as limitations and future directions, are discussed","PeriodicalId":48051,"journal":{"name":"Journal of Broadcasting & Electronic Media","volume":"67 1","pages":"553 - 573"},"PeriodicalIF":3.2,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48688651","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":"Understanding the Adoption and Usage Behaviors of Popular and Emerging Metaverse Platforms: A Study Based on the Extended Technology Acceptance Model","authors":"Shuya Pan, Soyoung Jung, Shi Suo","doi":"10.1080/08838151.2023.2224477","DOIUrl":"https://doi.org/10.1080/08838151.2023.2224477","url":null,"abstract":"ABSTRACT By applying an extended Technology Acceptance Model (TAM), we specifically examined how TAM-related factors affected two types of usage behaviors of current Metaverse platforms. The use intensity of the popular Metaverses and the adoption of the emerging Metaverses. The study recruited 222 participants through an online survey distributed via Amazon Mechanical Turk (Mturk). The results indicated that the driving forces to use the popular Metaverses were perceived usefulness (PU) and subjective norm (SN), while the adoption of the emerging Metaverses was significantly influenced by perceived enjoyment (PE) and external regulation (ER) of the Covid−19. This research contributes to a deeper understanding of the factors that motivate individuals to engage with contemporary Metaverse platforms, shedding light on the theoretical frameworks of TAM, Diffusion of Innovations Theory (DOI), and Self-determination Theory (SDT). By exploring these dimensions, our study offers a fresh and distinctive perspective on this subject, paving the way for future research in the field.","PeriodicalId":48051,"journal":{"name":"Journal of Broadcasting & Electronic Media","volume":"67 1","pages":"574 - 595"},"PeriodicalIF":3.2,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43700912","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":"Platforms and Cultural Production","authors":"Andrew Ventimiglia","doi":"10.1080/08838151.2023.2224476","DOIUrl":"https://doi.org/10.1080/08838151.2023.2224476","url":null,"abstract":"","PeriodicalId":48051,"journal":{"name":"Journal of Broadcasting & Electronic Media","volume":"67 1","pages":"615 - 617"},"PeriodicalIF":3.2,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47846563","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":"Lived Policy: Towards the Humanization of Telecommunications","authors":"Christopher Ali","doi":"10.1080/08838151.2023.2218954","DOIUrl":"https://doi.org/10.1080/08838151.2023.2218954","url":null,"abstract":"ABSTRACT This paper develops the concept of “lived policy” for the methodological toolkits of critical, qualitative communication policy scholars. Lived policy seeks to understand how public policies are lived by those impacted by them. It is inspired by research in “lived religion” and “lived theology” which connect theological studies with the lived realities of those who practice religion. Lived policy aims to humanize the policymaking process and the critique of public policy by grounding it in the lives of those most impacted by policy decisions. Examples from a larger study on US rural broadband policy are used to illustrate this approach.","PeriodicalId":48051,"journal":{"name":"Journal of Broadcasting & Electronic Media","volume":"67 1","pages":"596 - 614"},"PeriodicalIF":3.2,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47955300","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":"Can Algorithm Knowledge Stop Women from Being Targeted by Algorithm Bias? The New Digital Divide on Weibo","authors":"Yang Zhang, Huashan Chen","doi":"10.1080/08838151.2023.2218955","DOIUrl":"https://doi.org/10.1080/08838151.2023.2218955","url":null,"abstract":"ABSTRACT Algorithm knowledge of users plays a crucial role in avoiding them from algorithm bias in recommendation systems. Gender of users has been found to correlate with algorithm bias, but also leaving behind a question of whether this relationship can be described by algorithm knowledge. By using Weibo as an example system, we clarify the aforementioned question from a digital divide theory perspective. We combine a traditional method (questionnaire) with a deep learning computational method to explain algorithm bias in two sequential studies. Our findings suggest that algorithm knowledge solely works for men while fails to protect women. Who users follow helps determine what information they are exposed to on Weibo, and this renders female users’ algorithm knowledge useless. This work provides a valuable perspective on algorithm bias: we view algorithm bias as a new digital divide and contribute to the understanding of gender differences by applying the digital divide perspective. Methodologically, we contribute by integrating traditional and computational methods to explain algorithm bias from a folk theory perspective.","PeriodicalId":48051,"journal":{"name":"Journal of Broadcasting & Electronic Media","volume":"67 1","pages":"397 - 422"},"PeriodicalIF":3.2,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46233343","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":"Editorial Note for Special Issue on Al and Fake News, Mis(dis)information, and Algorithmic Bias","authors":"Donghee Shin, Kerk F. Kee","doi":"10.1080/08838151.2023.2225665","DOIUrl":"https://doi.org/10.1080/08838151.2023.2225665","url":null,"abstract":"Artificial intelligence (AI) continues to shape the lives of media users today (Wölker & Powell, 2021). Search engines, social media, and other over-thetop service platforms are fueled by data automated and organized through AI and algorithms, which in turn control users and markets. Similarly, the platformization of news and journalism is a growing trend (Dijck et al., 2018). The process of platformization is increasingly facilitating the economic, organizational, and social extensions of digital platforms into online and media ecosystems, fundamentally changing the operations of media industries and journalistic practices. Recently, platformization accelerated due to the drastic breakthroughs in machine learning. Specifically, it is machine learning algorithms that enable different sets of automated processes that transform input data into desired output (Dijck et al., 2018). Algorithms play a key role in curating what information is considered most relevant to users. While popular and effective in practice, these features come with the risk of systematic discrimination, limited transparency, and vague accountability (Moller et al., 2018). While algorithmic filtering may lead to more impartial, thus possibly fairer, processes than those controlled by humans, the process of algorithmic recommendation has been criticized for the tendency to amplify and/or reproduce biases, distort facts, generate information asymmetry, and reinforce process opacity (Ananny & Crawford, 2018). Simply put, algorithmic biases may further compound the algorithmic injustice that machine learning automates and perpetuates. AI-powered platforms have markedly contributed to the rapid diffusion of fake news, mis(dis)information, and deepfakes, which are the detrimental byproducts of platformization (Dan et al., 2021). Misinformation spreads more rapidly and broadly than reliable information does, jeopardizing the credibility of algorithmic journalism. Issues regarding how to safeguard the goals, values, and automated processes of platformization, how to counter fake news, how to discern misinformation, and how to regain media trust in a world of AI remain controversial (Shin, 2023). At the root of these questions are concerns about how to mitigate biases and discriminations in data, JOURNAL OF BROADCASTING & ELECTRONIC MEDIA 2023, VOL. 67, NO. 3, 241–245 https://doi.org/10.1080/08838151.2023.2225665","PeriodicalId":48051,"journal":{"name":"Journal of Broadcasting & Electronic Media","volume":"67 1","pages":"241 - 245"},"PeriodicalIF":3.2,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41353164","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}