“扩红”运动的图像话语生产与流动——以《红色中华》为中心

“扩红”运动是中央苏区各地方政府动员群众参加红军的一项大型社会运动。《红色中华》作为当时中央政府机关报,利用图像对“扩红”进行了有效的视觉传播与历史书写。《红色中华》图像对“扩红”话语的生产主要体现在三个方面：情境接合、符号表征以及文本互文。《红色中华》图像激活了当时中国紧迫的社会情境,通过描述社会现实、与参军竞赛相连接等方式,与“扩红”运动进行接合,共同搭建了“扩红”话语出场的合理性。《红色中华》图像通过对女性、青少年、旗帜等意象进行征用和再造,并与场景、动作以及道具等符号一起,共同组成了“扩红”话语的符号系统,并为话语释义提供了情感框架。最后,图像与语言通过隐喻等释义原则共同完成了话语的语义生产,并且通过图像的跨媒介互文,完成了话语的生产与流动。     

论高校图书馆网络用户道德教育的人性存在

文章从网络负面影响以及用户道德失范现象所折射出的人性之异化入手,揭示出高校图书馆网络用户道德教育人性存在的必要性,力求通过人性教化的思路和手段,达到"服务育人"的目的,在"道德他律"与"道德自律"的人性升华中实现创建和谐社会的目标.     

Do Pictures Tell a Different Story? A multimodal frame analysis of the 2014 Israel-Gaza conflict

Pictures play an ever-increasing role in the public’s understanding of mediated events. However, many studies show that visuals remain an understudied field, especially when it comes to multimodal approaches. This remains an important issue in today’s media environment, where visuals and their interaction with textual contents are becoming increasingly important carriers of meaning. The following paper presents results from a multimodal quantitative content analysis of the online coverage of the 2014 Israel–Gaza conflict, wherein an innovative comparative approach to visual and textual frames was applied. We examine the existing frames, identify patterns of visual and textual frame co-occurrence and describe changes of the applied multimodal framing. Overall, a sample of 150 texts and 219 pictures was coded. The study shows that the applied visual and textual frames initially correspond with each other thematically. During the course of the conflict, however, the provided textual and visual framing divert increasingly. While the textual mode more or less upholds its original framing of the events, the visual level intensifies the framing strategy it has adopted since the escalation of the conflict began. As a result, textual coverage focuses more on negotiations and solutions, whereas images become increasingly graphic.     

What Makes for Great Data Journalism?

This study examines the quality of winners and finalists in major national and international data journalism awards. We completed a content analysis of data projects submitted by Canadian media to three journalism associations—the Online News Association, the Global Editors Network and the Canadian Association of Journalists—as far back as the first award in this category in 2012. Our research addresses how journalists executed what could be considered excellent data journalism. Our findings point to a lack of accepted standards regarding what is considered as excellence. The quality of the projects was limited by two key factors: the use of free online options such as Google Maps that were not easily customizable; and the number of practitioners who worked on the data projects largely within traditional journalism frameworks. The most used visual elements were dynamic maps, graphs and video. With respect to interactivity, all but one of the projects contained an interactive element. The most popular interaction techniques were inspection and filtering, considered entry-level techniques in the field of information visualization. These techniques suggest a need for collaborative interdisciplinary approaches to data journalism, and further study on the implications of tools such as Google Maps on practice.