新闻策划创新浅见

新闻策划创新的内涵是比较丰富的,但最为主要的内涵应该是敏锐眼光与超前意识、个性特征与鲜明倾向、关注生活与开拓视野。在新闻策划创新的实践中,唯有将这三者综合考量,有机结合,我们才能在新闻策划报道中出奇制胜,不断提高舆论引导能力,真正做到“唱响主旋律,打好主动仗”,为经济社会全面发展营造良好的舆论氛围。     

新闻是相对于受众认知而言新的事实信息--新闻定义的再探讨

“新闻”作为新闻学研究的一个重要的术语,历来都是新闻理论研究的重点。但新闻界在“新闻”的定义上。却仁者见仁,智者见智。本文在新闻理论界研究成果的基础上,试从“新闻”“新”的相对性出发,结合语言学相关知识．提出“新闻是相对于受众认知而言新的事实信息”的定义。     

新闻标题的变异美

标题是章的眼睛，好的标题不但能眉目传神，还能画龙点睛。利用变异性修辞手段制作新闻标题能达到一种特殊的表达效果，使标题新颖别致、意蕴丰厚、妙趣横生，增强新闻作品的感染力和吸引力。章试从谐音变异、搭配变异，词性变异、色彩变异、矛盾变异、语体变异等六个方面，分析新闻标题中的变异修辞及其语用价值。     

试论新闻监督在司法公正中的运作原则

新闻监督与司法公正是当前社会生活中两大热门话题,是党和国家积极主张与努力深化的改革重点。在我们力图实现法治的社会框架中,必须妥善地协调新闻监督与司法公正之间的冲突,使新闻监督在法律的范围内规范运作,以确保这两大价值理念都能得到充分的实现。新闻监督在司法公正中的运作原则主要包括:报道真实原则,法律素养原则,行业自律原则,合理界限原则等。     

把校报建成高校新闻专业实习基地的思考

新闻学是一门实践性极强的学科,近年来,不少高校竞相开设新闻专业,新闻学教育的快速发展带来多方面的问题,学生实习难也日渐显现.新闻学教育应与高校校报加强合作,把校报打造成本校新闻专业学生的实习基地,可以在一定程度上缓解新闻专业学生实习难的现状.     

新闻出版公共服务建设工程的物流战略与物流能力

新闻出版公共服务建设工程从营销网点建设、节约成本、提升服务能力出发,需要重视实施物流战略和规划;经营性出版发行中盘成为建设工程的主要物流服务提供商,政府给予补助,要加强建设工程的物流项目招标与管理,依托数字技术,建立物流联盟;建设工程要从六个维度考察第三方物流企业的服务能力。     

Cads,Dads, and Magazines: Women's Sexual Preferences and Articles about Sex and Relationships

The framing of sexual content in women's magazines reflect two different approaches to the selection of a romantic partner: the selection of (a) a stable partner for a long-term relationship vs. (b) an attractive rogue for a fling. The effects of such framing on women's partner preferences were explored in this laboratory experiment. Women with different relationship goals were randomly assigned to read an article from a women's lifestyle magazine (Cosmopolitan) that framed sex in either relational or recreational terms before completing explicit and implicit measures of partner trait preferences. Article frame did affect the importance of appearance-related traits in a potential romantic partner as well as implicit preferences for frame-consistent partner traits. Results are discussed in terms of media framing effects.     

中国新闻周刊的生存状况与发展路径

中国大陆地区的新闻类周刊1990年代以来取得长足发展,也面临新的挑战与危机。“生逢其时”的社会环境与“生不逢时”的媒体竞争环境,使其努力寻找更为适合自己的生存路径,包括对“刊”形态与“周”时态的重新认识,对“忙人”与“有影响力”的人的重新界定,对“品质”与“风格”的不同选择,以及从“品牌化生存”到“两栖化生存”的拓展,以期借助于其他类型传播媒体的同步传播或“二次传播,”形成品牌,扩大影响,牢牢站稳属于自己的一片媒体空间。     

20世纪二三十年代都市传媒对青年自由恋爱的引导——以《生活》周刊为例

《生活》周刊是民国时期销量最大的都市文化生活杂志之一,其有关青年自由恋爱的指导具有一定的舆论代表性。具体内容主要为：青年自由恋爱时,要明确爱情的真谛,对于自由恋爱采取理智、审慎、严肃认真的态度和行为,为父母、家长者须予以适时恰当、理性开明的指导。《生活》的这些舆论引导对青年男女正确恋爱观念、恋爱行为的形成具有重要的指引作用,也在一定程度上促进了整个社会婚恋家庭模式及其制度的现代变迁。     

Automated monitoring of online news accuracy with change classification models

In the past decade, news consumption has shifted from printed news media to online alternatives. Although these come with advantages, online news poses challenges as well. Notable here is the increased competition between online newspapers and other online news providers to attract readers. Hereby, speed is often favored over quality. As a consequence, the need for new tools to monitor online news accuracy has grown. In this work, a fundamentally new and automated procedure for the monitoring of online news accuracy is proposed. The approach relies on the fact that online news articles are often updated after initial publication, thereby also correcting errors. Automated observation of the changes being made to online articles and detection of the errors that are corrected may offer useful insights concerning news accuracy. The potential of the presented automated error correction detection model is illustrated by building supervised classification models for the detection of objective, subjective and linguistic errors in online news updates respectively. The models are built using a large news update data set being collected during two consecutive years for six different Flemish online newspapers. A subset of 21,129 changes is then annotated using a combination of automated and human annotation via an online annotation platform. Finally, manually crafted features and text embeddings obtained by four different language models (TF-IDF, word2vec, BERTje and SBERT) are fed to three supervised machine learning algorithms (logistic regression, support vector machines and decision trees) and performance of the obtained models is subsequently evaluated. Results indicate that small differences in performance exist between the different learning algorithms and language models. Using the best-performing models, $F_2$-scores of 0.45, 0.25 and 0.80 are obtained for the classification of objective, subjective and linguistic errors respectively.