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Textbooks, Cell Phones, and Diapers: Being a Dad in Adolescent Fathers’ Own Words 教科书、手机和尿布:用青少年父亲自己的话说做父亲
IF 2 Q3 COMMUNICATION Pub Date : 2022-07-12 DOI: 10.30935/ojcmt/12226
G. Riboni
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引用次数: 0
Understanding Saudi Millennials News Consumption in a Digital World 了解数字世界中沙特千禧一代的新闻消费
IF 2 Q3 COMMUNICATION Pub Date : 2022-06-25 DOI: 10.30935/ojcmt/12181
Saud A. Alsulaiman
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引用次数: 1
Health Information and Social Inclusion of Women During COVID-19: Exploring Botswana Television’s Functionalist Communication Strategy 新冠肺炎期间妇女的健康信息和社会包容:探索博茨瓦纳电视台的功能主义传播策略
IF 2 Q3 COMMUNICATION Pub Date : 2022-06-16 DOI: 10.30935/ojcmt/12169
Gopolang Ditlhokwa
This paper explored the role of Botswana television in harnessing the right to health information and social inclusion of women during the COVID-19 pandemic. The researcher sampled 36 episodes (n=36) between March and June 2020 from the Botswana television Facebook page and employed content analysis to examine comments, reactions, viewership patterns, and gender disparities during programming. The program recorded over one million views from its audience, attracting many reactions and comments. However, there was a ratio of 74.5% for males against 25.5% for female representation, which was lower than the half margin of all the guests in the program. Furthermore, the study found that indeed Facebook boosted television viewership and audience engagement, although women’s issues were not satisfactorily addressed by the program, both dedicated to gender equality during the pandemic and crafting topics that discussed the vulnerability of women. © 2022 by authors.
本文探讨了博茨瓦纳电视台在新冠肺炎大流行期间利用妇女的健康信息权和社会包容方面的作用。研究人员在2020年3月至6月期间从博茨瓦纳电视台的Facebook页面上抽取了36集(n=36),并采用内容分析来检查节目中的评论、反应、收视率模式和性别差异。该节目的观众观看量超过100万,吸引了许多人的反应和评论。然而,男性的比例为74.5%,女性为25.5%,低于节目中所有嘉宾的一半。此外,研究发现,脸书确实提高了电视收视率和观众参与度,尽管该节目没有令人满意地解决女性问题,既致力于疫情期间的性别平等,也精心策划了讨论女性脆弱性的话题。©2022作者。
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引用次数: 1
Students’ Perception About the Incorporation of Technological Tools in the Educational Field During the COVID-19 Pandemic 新冠肺炎疫情期间学生对科技工具融入教育领域的认知
IF 2 Q3 COMMUNICATION Pub Date : 2022-06-16 DOI: 10.30935/ojcmt/12168
R. Salas-Rueda, J. Ramírez-Ortega, C. Alvarado-Zamorano, Antonio Domínguez-Hernández
Currently, teachers are changing the planning and organization of the courses due to the appearance of the SARS-CoV-2 virus. This mixed research analyzes the perception of students about the use of Google Classroom, smartphones, and Google Meet through machine learning and decision tree techniques (data science). The participants are 76 students from the National Preparatory School No. 6 “Antonio Caso” who took the universal literature course in the 2021 school year. The incorporation of Google Classroom allowed that these students reviewed the contents, consulted the multimedia resources, sent the tasks and established a communication from anywhere. Also, smartphones allowed the communication in the virtual classes, search for information on the Internet and review of the school contents at any time. Lastly, these students used Google Meet to answer their questions, understand the school topics and actively participate. The machine learning technique indicates that the use of Google Classroom, smartphones, and Google Meet positively influence the active role of the students during the realization of the school activities. The decision tree technique determines 3 predictive models about the use of these technological tools considering the profile of the students. In conclusion, technological tools such as Google Classroom, smartphones, and Google Meet play a fundamental role to plan, organize and carry out new educational activities and practices in the distance modality. © 2022 by authors;licensee OJCMT by Bastas, CY.
目前,由于SARS-CoV-2病毒的出现,教师正在改变课程的规划和组织。这项混合研究通过机器学习和决策树技术(数据科学)分析了学生对b谷歌Classroom、智能手机和谷歌Meet使用情况的看法。参与者是国立第六预备学校“安东尼奥·卡索”的76名学生,他们在2021学年学习了普遍文学课程。谷歌课堂的加入使得这些学生可以在任何地方复习内容、查阅多媒体资源、发送任务和建立交流。此外,智能手机还可以在虚拟课堂上进行交流、在网上搜索信息、随时查看学校内容。最后,这些学生使用谷歌Meet来回答他们的问题,了解学校的话题并积极参与。机器学习技术表明,谷歌课堂、智能手机和谷歌Meet的使用对学生在学校活动实现过程中的积极作用产生了积极影响。考虑到学生的情况,决策树技术确定了关于使用这些技术工具的3个预测模型。综上所述,谷歌Classroom、智能手机和谷歌Meet等技术工具在远程模式下的新教育活动和实践的计划、组织和实施中发挥着基础性的作用。©2022由作者所有;被许可方OJCMT由Bastas, CY。
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引用次数: 0
Developing Fake News Immunity: Fallacies as Misinformation Triggers During the Pandemic 发展假新闻免疫力:大流行期间引发错误信息的谬论
IF 2 Q3 COMMUNICATION Pub Date : 2022-05-12 DOI: 10.30935/ojcmt/12083
Elena Musi, Myrto Aloumpi, Elinor Carmi, Simeon J. Yates, Kay O’Halloran
Misinformation constitutes one of the main challenges to counter the infodemic: misleading news, even if not blatantly false, can cause harm especially in crisis scenarios such as the pandemic. Due to the fast proliferation of information across digital media, human fact-checkers struggle to keep up with fake news, while automatic fact-checkers are not able to identify the grey area of misinformation. We, thus, propose to reverse engineer the manipulation of information offering citizens the means to become their own fact-checkers through digital literacy and critical thinking. Through a corpus analysis of fact-checked news about COVID-19, we identify 10 fallacies–arguments which seem valid but are not–that systematically trigger misinformation and offer a systematic procedure to identify them. Next to fallacies, we examine the types of sources associated to (mis-/dis-)information in our dataset as well as the type of claims making up the headlines. The statistical patterns surfaced from these three levels of analysis reveal a misinformation ecosystem where no source type is exempt from flawed arguments with frequent evading the burden of proof and cherry picking behaviors, even when descriptive claims are at stake. In such a scenario, exercising the audience’s critical skills through fallacy and semantic analysis is necessary to guarantee fake news immunity. © 2022 by authors;licensee OJCMT by Bastas, CY.
虚假信息是应对信息传播的主要挑战之一:误导性新闻,即使不是公然的虚假新闻,也会造成伤害,尤其是在疫情等危机情况下。由于信息在数字媒体上的快速传播,人类事实核查人员很难跟上假新闻的步伐,而自动事实核查人员则无法识别错误信息的灰色地带。因此,我们建议对信息的操纵进行逆向工程,为公民提供通过数字素养和批判性思维成为自己的事实核查者的手段。通过对新冠肺炎事实核查新闻的语料库分析,我们确定了10个谬误——看似有效但并非有效的论点——它们系统地引发了错误信息,并提供了一个系统的程序来识别它们。除了谬论之外,我们还研究了数据集中与(错误/错误)信息相关的来源类型,以及构成头条新闻的声明类型。从这三个层面的分析中得出的统计模式揭示了一个错误信息生态系统,在这个生态系统中,没有任何来源类型可以免受有缺陷的论点的影响,经常逃避举证责任和挑三拣四的行为,即使在描述性声明受到威胁的情况下也是如此。在这种情况下,通过谬论和语义分析来锻炼观众的批判性技能是保证假新闻豁免权的必要条件。©2022作者;持牌人OJCMT,地址:康涅狄格州巴斯塔斯。
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引用次数: 8
From Lower Disease Risk Perception to Higher News Avoidance: Analysis of News Consumption and Attitude Toward COVID-19 News in Latvia 从低疾病风险认知到高新闻回避:拉脱维亚新闻消费和对COVID-19新闻的态度分析
IF 2 Q3 COMMUNICATION Pub Date : 2022-04-16 DOI: 10.30935/ojcmt/12026
Sandra Murinska, Anda Rožukalne, Ieva Strode
Recognizing that regular information during a pandemic helps societies navigate through a period of insecurity, the aim of this study is to understand how news about different aspects of the COVID-19 pandemic affects the attitude of media audiences towards news. This study seeks to explain the society’s news consumption and the attitude towards COVID-19 news in Latvia linking it to self-evaluation of the perceived disease risk. A national survey data (September 2020, N=1,005) analysis shows a statistically significant but weak correlation between disease risk self-evaluation and the attitude towards pandemic news. Respondents who rate the risk of the disease as higher and real are more interested in news, consume news to create a sense of security, feel less fatigue towards news, and are less likely to avoid COVID-19 news. Respondents who believe that the risk of illness is low and unreal, are less interested in news, feel more tired, avoid the news more often. © 2022 by authors;licensee OJCMT by Bastas, CY.
认识到大流行期间的定期信息有助于社会度过不安全时期,本研究的目的是了解关于COVID-19大流行不同方面的新闻如何影响媒体受众对新闻的态度。本研究旨在解释拉脱维亚社会的新闻消费和对COVID-19新闻的态度,将其与感知疾病风险的自我评估联系起来。一项全国调查数据(2020年9月,N= 1005)分析显示,疾病风险自我评价与对大流行新闻的态度之间存在统计学上显著但较弱的相关性。认为该疾病风险较高且真实的受访者对新闻更感兴趣,他们消费新闻以创造安全感,对新闻不那么疲劳,并且不太可能回避COVID-19新闻。认为患病风险低且不真实的受访者,对新闻的兴趣较低,感到更累,更频繁地回避新闻。©2022由作者所有;被许可方OJCMT由Bastas, CY。
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引用次数: 0
Googling for Schools: Do K-12 School Districts Purchase Adwords to Drive Website Traffic? 谷歌搜索学校:K-12学区是否会购买广告来增加网站流量?
IF 2 Q3 COMMUNICATION Pub Date : 2022-04-15 DOI: 10.30935/ojcmt/12020
Z. Taylor, J. Childs
Accepted: 7 Apr 2022 For decades, K-12 school districts have advertised their educational programming to prospective students, parents, and support networks. However, as the Internet technologies have advanced, educational institutions, including colleges and universities, have spent millions of dollars per year in online advertising leveraging Google’s search engine and data science marketing platforms. To date, no educational research has investigated the spending of K-12 school districts as to whether these educational entities have followed higher education’s lead and also purchase Google’s online advertising services to influence the educational marketplace and recruit students, parents, and support networks into the district. This study analyzes Google Adwords advertising and marketing data to evaluate 764 K-12 school districts in Texas to explore whether these school districts advertise online and how much they spend. Results suggest few K-12 school districts in Texas advertise, yet ones that do tend to be public charter schools with multiple campuses across the state. Implications for 21 century data science resources and K12 web metrics are addressed, in addition to policy and practice scenarios.
几十年来,K-12学区一直在向未来的学生、家长和支持网络宣传他们的教育项目。然而,随着互联网技术的进步,包括高等院校在内的教育机构利用b谷歌的搜索引擎和数据科学营销平台,每年在在线广告上花费数百万美元。迄今为止,没有任何教育研究调查过K-12学区的支出,以确定这些教育实体是否跟随高等教育的领导,也购买b谷歌的在线广告服务,以影响教育市场,招募学生、家长和支持网络进入该学区。本研究分析了谷歌Adwords广告和营销数据,以评估德克萨斯州764个K-12学区,以探索这些学区是否在网上做广告以及他们花了多少钱。结果显示,德克萨斯州很少有K-12学区做广告,而那些做广告的往往是公立特许学校,在全州有多个校区。除了政策和实践场景之外,还讨论了21世纪数据科学资源和K12网络指标的含义。
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引用次数: 0
The Impact of YouTube Pandemic Advertising on People’s Attitudes Towards COVID-19 YouTube疫情广告对人们对新冠肺炎态度的影响
IF 2 Q3 COMMUNICATION Pub Date : 2022-03-25 DOI: 10.30935/ojcmt/11922
Z. Ali, Xuening Yang
The main objective of this study is to examine the impact of YouTube pandemic advertising on people’s attitudes towards COVID-19. YouTube, as one of the most well-known social platforms, has performed well in this pandemic situation in terms of transmitting vital information through advertising. A quantitative approach was employed and the data were collected from 205 respondents through an online survey. People’s opinions of pandemic advertisements and the dissemination of information through YouTube are both critical factors in determining the impact of YouTube pandemic advertisements on people’s attitudes towards COVID-19. The findings also reveal that there is an impact of COVID-19 advertising on its viewers. Majority of respondents followed instructions with varied degree such as keeping social distance found in the advertised information and became more willing to pay attention to health issues in future. © 2022 by authors.
本研究的主要目的是研究YouTube大流行广告对人们对新冠肺炎态度的影响。YouTube作为最知名的社交平台之一,在这场疫情中通过广告传递重要信息方面表现良好。采用定量方法,通过在线调查从205名受访者中收集数据。人们对大流行广告的看法和通过YouTube传播信息都是决定YouTube大流行广告对人们对新冠肺炎态度的影响的关键因素。调查结果还表明,新冠肺炎广告对观众有影响。大多数受访者在不同程度上遵循了广告信息中的指示,如保持社交距离,并更愿意在未来关注健康问题。©2022作者。
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引用次数: 2
Analysing the Mediating Effect of Social Media on Online Shopping Using Partial Least Square 用偏最小二乘法分析社交媒体对网络购物的中介作用
IF 2 Q3 COMMUNICATION Pub Date : 2022-03-22 DOI: 10.30935/ojcmt/11907
Q. Nasidi, Muhamad Fazil Ahmad, Jamilu Abdulkadir, M. Garba
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引用次数: 0
Exploring Public Responses to Government’s COVID-19 Pandemic Policies 探索公众对政府COVID-19大流行政策的反应
IF 2 Q3 COMMUNICATION Pub Date : 2022-03-03 DOI: 10.30935/ojcmt/11829
Brenna Drummond, Aysun Bozanta
The ongoing pandemic of coronavirus disease 2019 (COVID-19) has challenged governments worldwide and approaches to combating the spread and maintaining livelihoods have ranged significantly. The purpose of the study is to a) investigate whether social media, specifically Twitter, can be used to identify topics of discussion regarding governments’ COVID-19 policies, and;b) whether those discussions can be interpreted in a way that can support governments in making policy decisions. Real-time public responses to these policies are a matter of interest, as understanding the content of discussions and the attitudes expressed towards government approaches can support the development of more grounded solutions for large-scale policy issues. Latent Dirichlet Allocation (LDA) is used to identify topics of discussion alongside Valence Aware Dictionary for sEntiment Reasoning (VADER) sentiment analyzer. Text data from two different jurisdictions are used and examined side by side. The Oxford COVID-19 Government Response Tracker (OxCGRT) is used to standardize policy discussions. The results of the study found that: a) Individuals tweeted most frequently and most passionately about case and death rates in their jurisdictions. Particularly about the rates with respect to vulnerable populations, such as those in long term care, nursing homes, and health workers, and b) Tweets expressed frustrations with the communication, length of implementation, or lack of rationale behind policies, suggesting the way the policy is communicated and delivered impacts individuals’ sentiments. © 2022 by authors.
持续的2019冠状病毒病(COVID-19)大流行给世界各国政府带来了挑战,各国政府应对疫情传播和维持生计的方法各不相同。该研究的目的是:a)调查社交媒体,特别是推特,是否可以用来确定有关政府COVID-19政策的讨论主题;b)这些讨论是否可以以一种支持政府制定政策决策的方式进行解释。公众对这些政策的实时反应是一件有趣的事情,因为了解讨论的内容和对政府方法表达的态度可以支持为大规模政策问题制定更有根据的解决方案。潜在狄利克雷分配(LDA)用于识别讨论主题,以及情感推理的价感知词典(VADER)情感分析器。来自两个不同司法管辖区的文本数据被并排使用和检查。牛津COVID-19政府反应追踪器(OxCGRT)用于规范政策讨论。研究结果发现:a)个人在推特上最频繁、最热情地谈论他们管辖范围内的病例和死亡率。特别是关于弱势群体(如长期护理、养老院和卫生工作者)的比率,以及b)推文表达了对沟通、实施时间长短或政策背后缺乏理由的失望,这表明政策的沟通和传递方式影响了个人的情绪。©2022作者。
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引用次数: 1
期刊
Online Journal of Communication and Media Technologies
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