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Atlantic Journal of Communication最新文献

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Resistive reviews and early cancel culture: delegitimation and The Chronicles of Narnia 抵制评论和早期取消文化:取消合法性和《纳尼亚传奇》
IF 1.4 Q2 Social Sciences Pub Date : 2023-06-29 DOI: 10.1080/15456870.2023.2226786
Brent Yergensen
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引用次数: 0
Stepping outside of comfort zones: Transformational learning in online asynchronous communication courses 走出舒适区:在线异步交流课程中的转型学习
IF 1.4 Q2 Social Sciences Pub Date : 2023-06-26 DOI: 10.1080/15456870.2023.2224484
A. Spadaro, Desiree Doyle, April Chatham-Carpenter
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引用次数: 0
Breaking the mold: examining the effectiveness of techniques to reduce motivated reasoning 打破模式:检查技术的有效性,以减少动机推理
IF 1.4 Q2 Social Sciences Pub Date : 2023-06-14 DOI: 10.1080/15456870.2023.2224482
Justin Parvizi, Jay D. Hmielowski
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引用次数: 0
Unmasking twitter discourse: an infodemiology study of covid-19 mitigation practices 揭露推特话语:covid-19缓解措施的信息流行病学研究
IF 1.4 Q2 Social Sciences Pub Date : 2023-06-05 DOI: 10.1080/15456870.2023.2220855
Barbe Fogarty, Keith Massie, Juliana Svistova
Social media is emerging as a useful tool in tracking public health concerns and provides timely insights into how individuals understand and respond to public health threats. Almost 85 million tweets containing the keyword ‘coronavirus' were examined to uncover the predominantly discussed Covid mitigating practices and their association with CDC-related tweets. When Twitter users retweeted the CDC regarding mitigation practices, an overwhelming number focused on the mask category, and there was a strong correlation between tweets about masks in the overall dataset and CDC tweets about masks. Qualitative analysis of a subset of 1200 mask-related tweets unveiled that Twitter was used to: 1) share information about masks, 2) express opinions, 3) highlight profiting during Covid, and 4) describe efforts to promote masking. This study can contribute to our understanding of public perceptions and augment the use of Twitter by public health professionals to limit infections and save lives in future pandemics. [ FROM AUTHOR] Copyright of Atlantic Journal of Communication is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
社交媒体正在成为跟踪公共卫生问题的有用工具,并及时提供个人如何理解和应对公共卫生威胁的见解。研究人员检查了近8500万条包含“冠状病毒”关键字的推文,以发现主要讨论的缓解措施及其与疾病预防控制中心相关推文的关联。当Twitter用户转发CDC关于缓解措施的推文时,绝大多数人关注的是口罩类别,并且在整个数据集中关于口罩的推文与CDC关于口罩的推文之间存在很强的相关性。对1200条口罩相关推文的一个子集进行定性分析,发现Twitter用于:1)分享有关口罩的信息,2)表达意见,3)强调在Covid期间的盈利,以及4)描述促进口罩的努力。这项研究有助于我们了解公众的看法,并增加公共卫生专业人员对Twitter的使用,以在未来的流行病中限制感染和挽救生命。版权归Taylor & Francis Ltd所有,未经版权所有者明确书面许可,其内容不得复制或通过电子邮件发送到多个网站或发布到listserv。但是,用户可以打印、下载或通过电子邮件发送文章供个人使用。这可以删节。对副本的准确性不作任何保证。用户应参阅原始出版版本的材料的完整。(版权适用于所有人。)
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引用次数: 0
Overcoming hurdles of gender and race: seasoned U.S. practitioners reflect on their career progressions in journalism and public relations 克服性别和种族障碍:经验丰富的美国从业者反思他们在新闻和公共关系方面的职业发展
IF 1.4 Q2 Social Sciences Pub Date : 2023-05-29 DOI: 10.1080/15456870.2023.2216332
J. Han, Olga Zatepilina-Monacell
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引用次数: 0
The effects of CSR perceptions and agreements: applying the heuristic-systematic information processing model in CSR campaigns 企业社会责任认知和协议的影响:启发式系统信息处理模型在企业社会责任活动中的应用
IF 1.4 Q2 Social Sciences Pub Date : 2023-05-09 DOI: 10.1080/15456870.2023.2211811
Wen Zhao
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引用次数: 0
“I feel like the risks far outweigh the benefits of the vaccinations”: investigating vaccine risk perceptions, emotions, and the PRISM framework “我觉得接种疫苗的风险远远大于益处”:调查疫苗风险认知、情绪和PRISM框架
IF 1.4 Q2 Social Sciences Pub Date : 2023-05-09 DOI: 10.1080/15456870.2023.2211701
Ashleigh M. Day, J. Volkman, C. Morse, K. Hokeness
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引用次数: 0
The last remaining thing we have in common: journalists publicly perform their addiction to former President Trump 我们最后的共同点是:记者们公开表现出对前总统特朗普的迷恋
IF 1.4 Q2 Social Sciences Pub Date : 2023-05-08 DOI: 10.1080/15456870.2023.2210244
R. Bishop
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引用次数: 0
Looking beyond the punchline: the effect of political entertainment on evaluations of political candidates 笑点之外:政治娱乐对政治候选人评价的影响
IF 1.4 Q2 Social Sciences Pub Date : 2023-04-27 DOI: 10.1080/15456870.2023.2207700
Eliana DuBosar, Myiah J. Hutchens
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引用次数: 0
Tweeting about the COVID-19 vaccine: A content analysis 关于COVID-19疫苗的推文:内容分析
IF 1.4 Q2 Social Sciences Pub Date : 2023-04-25 DOI: 10.1080/15456870.2023.2202402
Michael K Hauer, Alexander Jenkins, Janna MacPherson, Qingyue Sun, Marianne Swain
Twitter has been an influential and often controversial strategy for disseminating, discussing, and sharing information about the COVID-19 vaccine during the pandemic. This study focuses on using Twitter as a data collection and analysis tool to understand the narrative surrounding the COVID-19 vaccine in the days after the first emergency-use authorization (EUA). We conducted a content analysis of tweets we collected over a 30-day period (n = 419,495) and developed an iterative codebook that contained six domains (tweet source, location, tweet characteristics, COVID-19 specific topics, demographic descriptors, and sentiment) and thirty-six codes. Despite the abundance of misinformation on Twitter about the vaccine, we found that more tweets were positive than negative in tone and contained mostly reliable and up-to-date information about the vaccine. Most tweets came from individuals though many came from organizations. We found little discussion of demographic descriptors such as race/ethnicity, religion, or socioeconomic status, nor did we see discussion of misinformation or mask-wearing. Additionally, few tweets came from politicians or political organizations, and we found little talk of politics. This article contributes to the growing body of evidence of using Twitter to understand the narrative surrounding health topics during public health crises such as COVID-19. [ FROM AUTHOR] Copyright of Atlantic Journal of Communication is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
在大流行期间,推特一直是传播、讨论和分享有关COVID-19疫苗信息的一种有影响力且经常引起争议的策略。本研究的重点是使用Twitter作为数据收集和分析工具,以了解在首次紧急使用授权(EUA)后几天内围绕COVID-19疫苗的叙述。我们对30天内收集的推文(n = 419,495)进行了内容分析,并开发了一个迭代代码本,其中包含六个域(推文来源、位置、推文特征、COVID-19特定主题、人口统计描述符和情绪)和36个代码。尽管推特上有大量关于疫苗的错误信息,但我们发现,更多的推文在语气上是积极的,而不是消极的,并且包含了关于疫苗的大多数可靠和最新的信息。大多数推文来自个人,但也有许多来自组织。我们发现很少有关于人口统计学描述的讨论,如种族/民族、宗教或社会经济地位,也没有看到关于错误信息或戴面具的讨论。此外,很少有来自政治家或政治组织的推文,我们发现很少有关于政治的讨论。这篇文章提供了越来越多的证据,证明在COVID-19等公共卫生危机期间使用Twitter来理解围绕健康主题的叙述。版权归Taylor & Francis Ltd所有,未经版权所有者明确书面许可,其内容不得复制或通过电子邮件发送到多个网站或发布到listserv。但是,用户可以打印、下载或通过电子邮件发送文章供个人使用。这可以删节。对副本的准确性不作任何保证。用户应参阅原始出版版本的材料的完整。(版权适用于所有人。)
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引用次数: 0
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Atlantic Journal of Communication
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