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Countering terrorism on social media: An analysis of online anti-terrorism movement in Indonesia 社交媒体反恐:印尼网络反恐运动分析
IF 3.6 Q3 COMMUNICATION Pub Date : 2023-07-29 DOI: 10.1177/20570473231189898
J. Oktavianus, Brenna Davidson
This study scrutinizes the nature of online citizen-driven collective actions aimed at countering terrorism following bombing attacks in Indonesia. In particular, this study illuminates the framing processes, public sentiments, and actors involved in the movement. An analysis of 10,000 tweets bearing the hashtag #KamiTidakTakut (we are not afraid) showed that the participants predominantly employed motivational frames to encourage others to engage in anti-terrorism efforts and defy terror by bolstering collective identity. Moreover, while the tweets were mainly conveyed in a positive tone, a considerable number of tweets voiced negative sentiments, including criticism of the movement. In addition, most tweets came from citizens, and some were from media outlets, civil society organizations, government agencies, and public figures. The study enriches the literature on online collective actions in the context of terrorism and offers practical insights into the design of public anti-terrorism campaigns.
本研究考察了印尼爆炸袭击后,由公民驱动的网络集体行动的性质,这些行动旨在打击恐怖主义。特别是,本研究阐明了运动的框架过程、公众情绪和参与者。对1万条带有#KamiTidakTakut(我们不害怕)标签的推文的分析表明,参与者主要采用激励框架来鼓励他人参与反恐努力,并通过加强集体认同来对抗恐怖主义。此外,虽然推文主要以积极的语气传达,但相当数量的推文表达了负面情绪,包括对该运动的批评。此外,大多数推文来自公民,也有一些来自媒体、公民社会组织、政府机构和公众人物。该研究丰富了恐怖主义背景下网络集体行动的文献,并为公共反恐运动的设计提供了实践见解。
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引用次数: 0
Linguistic potential of COVID-19 neologisms in the metaphoric language of socio-political discourse 新冠肺炎新词在社会政治话语隐喻语言中的语言潜力
IF 3.6 Q3 COMMUNICATION Pub Date : 2023-07-25 DOI: 10.1177/20570473231186475
Andrey V. Ivanov, Zhanna Nikonova, N. Frolova, I. Muratbayeva
The purpose of the study is to investigate the features of the vocabulary of COVID-19 in English, which is an international language of borrowings. The secondary objective is to obtain new data on the emergence of a new vocabulary during the global problem of the COVID-19 pandemic. The method of lexical semantics analysis was used; 77 lexical units within the framework of the socio-political discourse have been considered in the course of the discursive text analysis. The most relevant categories of neologisms associated with COVID-19 were identified, and their word-formation models were analyzed. The active borrowing of COVID-19 vocabulary began from the English language. Based on the changes in the lifestyle, daily routine, and statuses of citizens, five categories and four groups of neologisms have been identified. The results of this study can be used for further analysis of the vocabulary of the COVID-19 period as new lexical units constantly appear and require their consideration within the framework of the linguistic potential and vocabulary of the languages found in the world. The study is important for replenishing the theoretical and practical base in the field of lexicology (processes of neologization, lexical borrowings, semantic features of new lexical units and their functions), media linguistics, journalism, and sociology as it takes into account socio-political factors.
本研究旨在探讨新冠肺炎国际借用语言英语词汇的特点。第二个目标是获得关于新冠肺炎大流行这一全球问题期间新词汇出现的新数据。采用词汇语义分析的方法;在话语文本分析过程中,考虑了社会政治话语框架内的77个词汇单元。确定了与新冠肺炎相关的最相关的新词类别,并分析了它们的形成模式。新冠肺炎词汇的积极借用始于英语。根据生活方式、日常生活和公民地位的变化,确定了五类四组新词。这项研究的结果可用于进一步分析新冠肺炎时期的词汇,因为新的词汇单元不断出现,需要在世界上发现的语言的语言潜力和词汇框架内加以考虑。考虑到社会政治因素,该研究对于补充词汇学(新词化过程、词汇借用、新词汇单元的语义特征及其功能)、媒体语言学、新闻学和社会学领域的理论和实践基础具有重要意义。
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引用次数: 0
“Our Pain Makes Us Family”: March For Our Lives and the constitutive role of gun violence trauma in youth publics “我们的痛苦使我们成为家庭”:为我们的生命游行和枪支暴力创伤在青年公众中的构成作用
IF 3.6 Q3 COMMUNICATION Pub Date : 2023-07-22 DOI: 10.1177/20570473231186839
Kelly E Jensen
This essay examines the dynamics of diverse youth public formation through analysis of the 20 student speeches delivered at the 2018 March For Our Lives rally. I argue that the collective identification as youth survivors of gun violence trauma functions to constitute this diverse youth public. I trace how the speakers’ shared gun violence trauma enabled them to form a racially integrated coalition while not discrediting their differently positioned identities and disparate gun violence experiences. In doing so, I forward a conceptualization of how youth publics negotiate gun violence trauma, asserting that youth publics are characterized by both present constraints and a future-oriented agency, members of youth publics must account for tensions across racial differences in their gun violence prevention advocacy, and gun violence trauma functions as a shared basis for political participation. My analysis of the students’ gun violence prevention discourse complicates this framework to reveal how gun violence trauma as a shared basis for youth public membership threatens their source of empowerment: ownership over their futures. Contributing to scholarship on the formation of publics, this essay demonstrates the significance of youth publics at the intersections of race, trauma, and gun violence.
本文通过分析2018年“为我们的生活游行”集会上发表的20篇学生演讲,探讨了青年公众多元化的动态。我认为,作为枪支暴力创伤的青年幸存者的集体认同,构成了这个多元化的青年公众。我追溯了演讲者共同的枪支暴力创伤是如何使他们能够组成一个种族融合的联盟,同时又不诋毁他们不同的身份和不同的枪支暴力经历的。在这样做的过程中,我提出了一个关于青年公众如何应对枪支暴力创伤的概念,声称青年公众的特点是既有当前的制约因素,又有面向未来的机构,青年公众成员在预防枪支暴力的宣传中必须考虑到种族差异的紧张关系,枪支暴力创伤是政治参与的共同基础。我对学生枪支暴力预防话语的分析使这一框架变得复杂,以揭示枪支暴力创伤作为青年公众成员的共同基础是如何威胁他们的赋权来源的:对他们未来的所有权。本文展示了青年公众在种族、创伤和枪支暴力的交叉点上的意义,为公众形成的学术研究做出了贡献。
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引用次数: 0
Solving women’s voices? A theoretical framework for talking through the algorithm 解决女性的声音?一个讨论算法的理论框架
IF 3.6 Q3 COMMUNICATION Pub Date : 2023-07-18 DOI: 10.1177/20570473231187188
K. Dawson
This article offers a four-dimensional framework for analyzing technologies of gendered voice, especially those which have sought to correct or “solve” the supposedly unruly, unpleasant, or otherwise problematic voices of women. While modern technologies such as artificially intelligent assistants Siri and Alexa implement digital algorithms for cultivating feminine voices, this framework insists upon a broad conceptualization of algorithms to consider how predigital technologies and institutions of vocal cultivation also anticipate and echo such contemporary means of vocal norm-production and control. By imagining gendered voice through this broad lens of the algorithm, we can begin to deconstruct the ways in which technologies and institutions of voice have historically operated as algorithms that attempt to “solve” women’s voices by making them amenable to hegemonic, patriarchal values, uses, and ideals. The research builds upon existing communication literature surrounding the nature and functionality of algorithms as well as feminist posthumanist theory, which provides a richer conceptualization of how algorithms of voice enact both a political and material discipline upon women’s voices.
这篇文章为分析性别声音技术提供了一个四维框架,尤其是那些试图纠正或“解决”女性所谓的不守规矩、不愉快或其他有问题的声音的技术。虽然人工智能助手Siri和Alexa等现代技术实现了培养女性声音的数字算法,但该框架坚持对算法进行广泛的概念化,以考虑预数字技术和声音培养机构如何预测和呼应这种当代的声音规范产生和控制手段。通过这种广泛的算法视角来想象性别化的声音,我们可以开始解构声音技术和机构在历史上作为算法的运作方式,这些算法试图通过让女性服从霸权、父权价值观、用途和理想来“解决”她们的声音。这项研究建立在围绕算法的性质和功能的现有传播文献以及女权主义后人道主义理论的基础上,该理论为声音算法如何对女性声音制定政治和物质纪律提供了更丰富的概念。
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引用次数: 0
Community organizations and ethnic media working with foreign household service workers: Applying communication infrastructure theory to migrant health 与外籍家庭服务工作者合作的社区组织和族裔媒体:将通信基础设施理论应用于移民健康
IF 3.6 Q3 COMMUNICATION Pub Date : 2023-06-02 DOI: 10.1177/20570473231177791
J. M. A. Bernadas, Carlos M. Piocos, R. B. Vilog
Informed by Communication Infrastructure Theory (CIT), this article explores the ways community organizations and ethnic media serve as communicative resources and form into storytelling networks with different health-enhancing purposes for Filipina household service workers (FHSWs) in Hong Kong (HK). Using key informant interviews with print and broadcast media, non-governmental organizations, and faith-based organizations in HK, it found that cancer, stroke, and depression were shared concerns among FHSWs. Community organizations and ethnic media explained these concerns based on work and labor conditions. As communicative resources, they provided health information, offered tangible support, and campaigned to employers and governments. In discussing social media for health, community organizations highlighted accessibility, whereas ethnic media focused on journalistic practices. Overall, this article highlights ethnic media and community organizations as key but often overlooked publics in health communication and the importance of further incorporating temporality in CIT-informed research for migrant health. Implications to public health campaigns and health reporting are discussed.
本文以传播基础设施理论(CIT)为基础,探讨了社区组织和少数民族媒体如何作为传播资源,形成具有不同健康促进目的的菲律宾家庭服务工作者(FHSWs)的故事网络。通过对香港印刷和广播媒体、非政府组织和信仰组织的主要信息提供者的采访,该报告发现,癌症、中风和抑郁症是家庭佣工共同关注的问题。社区组织和少数民族媒体根据工作和劳动条件解释了这些关切。作为沟通资源,他们提供健康信息,提供切实支持,并向雇主和政府开展宣传活动。在讨论社会媒体促进保健时,社区组织强调了可及性,而族裔媒体则侧重于新闻实践。总的来说,这篇文章强调了少数民族媒体和社区组织在健康传播中是关键的,但往往被忽视的公众,以及在cit知情的移民健康研究中进一步纳入暂时性的重要性。讨论了对公共卫生运动和卫生报告的影响。
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引用次数: 0
Computational propaganda: Concepts, methods, and challenges 计算宣传:概念、方法和挑战
IF 3.6 Q3 COMMUNICATION Pub Date : 2023-06-01 DOI: 10.1177/20570473231185996
Philip G. Howard, Fen Lin, Viktor Tuzov
In this dialogue, Phillip Howard introduces “computational propaganda” as an emerging communication tool in political communication and a perspective for investigating misinformation and disinformation. By articulating the concepts, patterns, and mechanisms of computational propaganda, Howard proposes a socio-technical framework for studying computational propaganda. He calls for mixed methods to undertake computational research alongside qualitative investigation, thus addressing the computational as well as the political. Howard emphasizes the battle against algorithm bias, manipulation, and misinformation, and he advocates building an International Panel on the Information Environment (IPIE), an international scientific collaboration, to respond to the challenges. In addition, Howard offers advice on further research in computational propaganda.
在这场对话中,菲利普·霍华德介绍了“计算宣传”,它是政治传播中一种新兴的传播工具,也是调查错误信息和虚假信息的一种视角。通过阐明计算宣传的概念、模式和机制,霍华德提出了一个研究计算宣传的社会技术框架。他呼吁在进行定性调查的同时,采用混合方法进行计算研究,从而解决计算和政治问题。霍华德强调要与算法偏见、操纵和错误信息作斗争,他主张建立一个国际信息环境小组(IPIE),一个国际科学合作组织,以应对这些挑战。此外,霍华德还为进一步研究计算宣传提供了建议。
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引用次数: 1
Strategically matching messaging to the platform: The case of “Biolabs” on Instagram, Facebook, and Reddit 将消息与平台进行战略匹配:Instagram、Facebook和Reddit上的“Biolabs”案例
IF 3.6 Q3 COMMUNICATION Pub Date : 2023-05-16 DOI: 10.1177/20570473231173784
Daniel Faltesek
An important Russian strategic disinformation campaign, early in the Ukrainian war, contended that the United States was involved in clandestine biological weapons development in Ukraine under the sign “biolabs.” Depending on the platform, the propaganda messaging appeared differently. This study uses a multi-modal approach, featuring Image Plotting, to study the waves of messaging related involved in the biolabs campaign including both the qualitative analysis of text and the analysis of the images. Each platform includes a clear visual and textual strategy which align with known Russian strategies and multi-modal campaign operations.
在乌克兰战争初期,俄罗斯发起了一场重要的战略造谣活动,声称美国参与了乌克兰的秘密生物武器开发,代号为“biolabs”。根据不同的平台,宣传信息呈现出不同的形式。本研究采用多模态方法,以图像绘制为特色,研究生物实验室活动中涉及的信息浪潮,包括文本的定性分析和图像的分析。每个平台都包含一个清晰的视觉和文本战略,与已知的俄罗斯战略和多模式战役操作保持一致。
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引用次数: 0
Influence of social bots in information warfare: A case study on @UAWeapons Twitter account in the context of Russia–Ukraine conflict 社交机器人在信息战中的影响:以俄乌冲突背景下的@UAWeapons Twitter账号为例
IF 3.6 Q3 COMMUNICATION Pub Date : 2023-05-12 DOI: 10.1177/20570473231166157
Qian Li, Qian Liu, Shaoqiang Liu, Xinyue Di, Siyu Chen, Hongzhong Zhang
During the Russia–Ukraine conflict, social media has become an outlet for public opinion; therefore, besides the hot war, information warfare is also taking place. It was discovered that a large number of new social bot accounts had emerged on Twitter since the outbreak of the conflict. In particular, the Twitter account @UAWeapons has grown its following by hundreds of thousands in fewer than 30 days and has established itself as an influential opinion leader. Through data mining and three different analysis methods, this study investigated how social bots grew to influence public opinion. Specifically, time-series analysis revealed an unusual pattern of “pulsing” changes in the number of tweets posted by @UAWeapons over time. The content analysis illustrated that the account posted biased tweets in favor of Ukraine under the guise of being a neutral messenger, which led to frequent retweets from social bots with similar opinions. Finally, the results of the social network analysis indicated that @UAWeapons’ rapid growth might be attributed to a strategy of network clustering implemented by a core group of social bot accounts.
在俄乌冲突期间,社交媒体成为了公众舆论的出口;因此,除了热战,信息战也在发生。据发现,自冲突爆发以来,推特上出现了大量新的社交机器人账户。特别是推特账号@UAWeapons,在不到30天的时间里就增加了数十万粉丝,成为了有影响力的意见领袖。通过数据挖掘和三种不同的分析方法,本研究调查了社交机器人是如何影响公众舆论的。具体来说,时间序列分析揭示了@UAWeapons发布的推文数量随时间的不同寻常的“脉冲”变化模式。内容分析表明,该账户以中立信使的名义发布了偏向乌克兰的推文,导致持类似观点的社交机器人频繁转发。最后,社交网络分析的结果表明,@UAWeapons的快速增长可能归因于社交机器人账户核心组实施的网络集群策略。
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引用次数: 0
A template for mapping emotion expression within hashtag publics 一个用于映射公共标签中情感表达的模板
IF 3.6 Q3 COMMUNICATION Pub Date : 2023-05-05 DOI: 10.1177/20570473231169787
C. Rathnayake, D. Suthers
Current literature on networked publics lacks research that examines how emotions are mobilised around specific actors, and quantitative analysis of affective phenomena is limited to vanity metrics. We address this issue by developing a network analytic routine, which guides the attribution of emotions contained in hashtagged tweets to their sources and targets. The proposed template enables identification of networked inconsequentiality (i.e., inability to trigger dialogue), reply targets (i.e., individuals targeted in replies) and voice agents (i.e., senders of replicated utterances). We demonstrate this approach with two data sets based on the hashtags #Newzealand (n = 131,523) and #SriLanka (n = 145,868) covering two major incidents of terrorism related to opposing extremist ideologies. In addition to the methodological contribution, the study demonstrates that user-driven emergence of networked leadership takes place based on conventional structures of power in which individuals with high power and social status are likely to emerge as targets as well as sources of emotions.
目前关于网络公众的文献缺乏研究情感是如何在特定参与者周围调动的,对情感现象的定量分析仅限于虚荣指标。我们通过开发一个网络分析程序来解决这个问题,该程序将标签推文中包含的情绪归因于其来源和目标。所提出的模板能够识别网络化的非序列性(即无法触发对话)、回复目标(即回复中的目标个体)和语音代理(即复制话语的发送者)。我们用两个基于#新西兰(n=131523)和#斯里兰卡(n=145868)标签的数据集展示了这种方法,这两个数据集涵盖了与反对极端主义意识形态有关的两起重大恐怖主义事件。除了方法学上的贡献外,该研究还表明,用户驱动的网络领导的出现是基于传统的权力结构,在这种权力结构中,拥有高权力和社会地位的个人可能会成为目标和情绪来源。
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引用次数: 0
Partisan selective exposure and politically polarized attitudes toward disruptive protest 党派选择性曝光和对破坏性抗议的政治两极分化态度
IF 3.6 Q3 COMMUNICATION Pub Date : 2023-05-02 DOI: 10.1177/20570473231171460
K. Lorenzano, S. Moon, Porismita Borah
While many Americans support the right to protest, increased animus has recently been directed at protesters themselves, often along partisan ideological lines and in partisan media content. However, there is a lack of research on attitudes toward treatment of protesters in the context of political violence and selective exposure to likeminded partisan sources of information. This study finds that a significant, positive relationship exists between self-identified Republicans and thinking that disruptive protesters deserve to be “roughed up,” while identifying as a Democrat produced a negative relationship in the same circumstance. Likewise, consumption of conservative partisan media was found to have a positive relationship with the idea of “roughing up” disruptive protesters, while liberal partisan media was found to have a negative relationship. However, selective exposure to attitude-affirming media only had a significant impact among self-identified Democrats, in the sense that Democrats’ selective exposure to left-leaning media was associated with less support for “roughing up” disruptive protesters.
虽然许多美国人支持抗议的权利,但最近越来越多的敌意直指抗议者本身,通常是基于党派意识形态路线和党派媒体内容。然而,在政治暴力和选择性暴露于志同道合的党派信息来源的背景下,对对待抗议者的态度缺乏研究。本研究发现,自我认同的共和党人与认为破坏性抗议者应该被“粗暴对待”之间存在显著的正相关关系,而认同为民主党人在相同的情况下产生负相关关系。同样,保守党派媒体的消费与“粗暴对待”破坏性抗议者的想法呈正相关,而自由党派媒体的消费与“粗暴对待”破坏性抗议者的想法呈正相关。然而,选择性地接触态度肯定媒体只对自我认同的民主党人有显著影响,在某种意义上,民主党人选择性地接触左倾媒体与较少支持“粗暴对待”破坏性抗议者有关。
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引用次数: 0
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Communication and the Public
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