Personalized, war and peace journalism on Twitter: The Russo-Ukrainian War through the lens of political journalists

Nina Fabiola Schumacher, Kristin Shi-Kupfer, Christian Nuernbergk
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Abstract

This study compares communication patterns of German political journalists with correspondents assigned in covering Russia/Ukraine regarding the ongoing Russo-Ukrainian War discourse on Twitter (now X). During the 2022 Russian invasion of Ukraine, Twitter has been an important platform for (European) politicians, journalists and other stakeholders to share their views on the war. In general, journalists differ largely in terms of Twitter activity and in posting individual contributions. This comparative research delves into the analysis of journalistic communication in 4,460 tweets, focusing on war and peace journalism framing. The study also investigates the personalization characteristics present in these tweets, considering individual-level influences through the hierarchy of influence model. Specifically, the work employs both peace journalism theoretical framework and the hierarchy of influence model to scrutinize the communication strategies of German political journalists and correspondents covering Russia/Ukraine on Twitter amidst the ongoing Russo-Ukrainian War discourse. So far, both approaches have not been combined for the analysis of conflict and war communication in social media. We tracked journalistic tweets for five months from September 2022 to February 2023. Our content analysis shows that, within the journalistic contributions, a peace journalism framework dominates. More than three-quarters of the tweets contain an expression of opinion and around one-third evaluations. Personalization characteristics of politicians are present in almost one-quarter of the tweets.
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推特上的个性化战争与和平新闻:政治记者镜头下的俄乌战争
本研究比较了德国政治记者与被指派报道俄罗斯/乌克兰的通讯员在推特(现为 X)上就当前俄乌战争言论的交流模式。在 2022 年俄罗斯入侵乌克兰期间,推特一直是(欧洲)政治家、记者和其他利益相关者分享战争观点的重要平台。总体而言,记者们在推特活动和发布个人贡献方面存在很大差异。这项比较研究深入分析了 4,460 条推文中的新闻传播,重点关注战争与和平新闻的框架。研究还调查了这些推文中存在的个性化特征,并通过影响层次模型考虑了个人层面的影响因素。具体而言,该研究同时采用了和平新闻理论框架和影响层次模型,以仔细研究德国政治记者和通讯员在推特上报道俄乌战争话语时的传播策略。迄今为止,还没有人将这两种方法结合起来分析社交媒体中的冲突和战争传播。我们追踪了 2022 年 9 月至 2023 年 2 月五个月的新闻推文。我们的内容分析显示,在新闻报道中,和平新闻框架占主导地位。超过四分之三的推文包含意见表达,约三分之一包含评价。近四分之一的推文中包含政治家的个性化特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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