共查询到19条相似文献，搜索用时 62 毫秒
1.
当前,高校编辑要将新闻“走转改”融入到高校新闻宣传工作中,加强编辑工作的政治素质、作风素质和业务素质,以体现高校校报“服务师生”的基本理念,实现校报育人的根本目的。 相似文献
2.
从校报特点谈实现“三贴近”的新途径 总被引：1，自引：0，他引：1
随着中国高等教育的发展,高校校报已从建国之初的22家发展到现在的1000余家,在高校办学过程中,校报日益成为学校思想政治工作队伍中一支重要力量,同时也是中国新闻事业中一个组成部分。从校报的特点入手,探索新闻宣传实现“三贴近”的途径,进而使其在加强和改进大学生思想政治教育工作中发挥应有作用,是各家校报不断实践和探索的重要任务。一、校报的特点1、党报的性质高校校报是高校党委、行政的喉舌,是宣传贯彻党的方针政策、执行传达学校工作方针和工作部署的宣传舆论阵地,尤其是当前进一步加强和改进大学生思想政治教育过程中,校报更是… 相似文献
3.
在网络媒体蓬勃兴起的信息化时代,高校校报的生存空间受到挤压,部分读者的流失已成为不争的事实。在此形势下,高校校报编辑必须与时俱进地加强学习和思考,在政治素养、知识素养、作风素养、文字素养等方面下工夫,全面提升自己的编辑能力,努力打造水准较高的广受师生欢迎的高校校报。 相似文献
4.
副刊作为高校校报不可或缺的版面,是报纸区别与杂志的本质属性。高校校报作为学校党委和行政的机关报,新闻性是副刊的本质属性,贴近性是副刊的活力源泉。校报编辑只有注重副刊版面的新闻性和贴近性,才能办好校报副刊。 相似文献
5.
在网络媒体蓬勃兴起的信息化时代,高校校报的生存空间受到挤压,部分读者的流失已成为不争的事实。在此形势下,高校校报编辑必须与时俱进地加强学习和思考,在政治素养、知识素养、作风素养、文字素养等方面下工夫,全面提升自己的编辑能力,努力打造水准较高的广受师生欢迎的高校校报。 相似文献
6.
副刊作为高校校报不可或缺的版面，是报纸区别与杂志的本质属性。高校校报作为学校党委和行政的机关报，新闻性是副刊的本质属性，贴近性是副刊的活力泺采。校报编辑只有注重副刊版面的新闻性和贴近性，才能办好校报副刊。 相似文献
7.
在众多媒体蓬勃发展的今天,校报作为校园新闻的主要传播渠道,其在传播校园文化、展现校园精神风貌和加快高校发展进度方面扮演着重要的角色,因此如何巩固高校校报主导媒体的地位、突破高校校报发展“瓶颈”,更好地为广大师生服务是一个值得探讨的重大课题。 相似文献
8.
9.
10.
校报是高校的“机关报”,起着宣传学校办学思想,弘扬主旋律的重要作用。随着数字化媒体的高速发展和有力冲击,校报怎样办出特色,让大家喜闻乐见,值得我们深思。本文就如何更好地发挥校报的舆论导向功能,如何使校报突出个性化作探讨。 相似文献
11.
Health misinformation has become an unfortunate truism of social media platforms, where lies could spread faster than truth. Despite considerable work devoted to suppressing fake news, health misinformation, including low-quality health news, persists and even increases in recent years. One promising approach to fighting bad information is studying the temporal and sentiment effects of health news stories and how they are discussed and disseminated on social media platforms like Twitter. As part of the effort of searching for innovative ways to fight health misinformation, this study analyzes a dataset of more than 1600 objectively and independently reviewed health news stories published over a 10-year span and nearly 50,000 Twitter posts responding to them. Specifically, it examines the source credibility of health news circulated on Twitter and the temporal, sentiment features of the tweets containing or responding to the health news reports. The results show that health news stories that are rated low by experts are discussed more, persist longer, and produce stronger sentiments than highly rated ones in the tweetosphere. However, the highly rated stories retained a fresh interest in the form of new tweets for a longer period. An in-depth understanding of the characteristics of health news distribution and discussion is the first step toward mitigating the surge of health misinformation. The findings provide insights into understanding the mechanism of health information dissemination on social media and practical implications to fight and mitigate health misinformation on digital media platforms. 相似文献
12.
Mozhgan Karimi Dietmar Jannach Michael Jugovac 《Information processing & management》2018,54(6):1203-1227
More and more people read the news online, e.g., by visiting the websites of their favorite newspapers or by navigating the sites of news aggregators. However, the abundance of news information that is published online every day through different channels can make it challenging for readers to locate the content they are interested in. The goal of News Recommender Systems (NRS) is to make reading suggestions to users in a personalized way. Due to their practical relevance, a variety of technical approaches to build such systems have been proposed over the last two decades. In this work, we review the state-of-the-art of designing and evaluating news recommender systems over the last ten years. One main goal of the work is to analyze which particular challenges of news recommendation (e.g., short item life times and recency aspects) have been well explored and which areas still require more work. Furthermore, in contrast to previous surveys, the paper specifically discusses methodological questions and today’s academic practice of evaluating and comparing different algorithmic news recommendation approaches based on accuracy measures. 相似文献
13.
新闻记者应具备的基本素质略谈 总被引：1，自引：0，他引：1
面对经济与社会转轨时期新闻传媒面对的问题,如何提高新闻记者的素质是其中一个十分重要的因素。作者通过多年实践,提出了新闻记者应具备的基本素质,即：社区大妈的亲和力、思想家的思辨能力、作家的写作能力、战士勇往直前的精神。 相似文献
14.
《Information processing & management》2022,59(1):102739
Digital information exchange enables quick creation and sharing of information and thus changes existing habits. Social media is becoming the main source of news for end-users replacing traditional media. This also enables the proliferation of fake news, which misinforms readers and is used to serve the interests of the creators. As a result, automated fake news detection systems are attracting attention. However, automatic fake news detection presents a major challenge; content evaluation is increasingly becoming the responsibility of the end-user. Thus, in the present study we used information quality (IQ) as an instrument to investigate how users can detect fake news. Specifically, we examined how users perceive fake news in the form of shorter paragraphs on individual IQ dimensions. We also investigated which user characteristics might affect fake news detection. We performed an empirical study with 1123 users, who evaluated randomly generated stories with statements of various level of correctness by individual IQ dimensions. The results reveal that IQ can be used as a tool for fake news detection. Our findings show that (1) domain knowledge has a positive impact on fake news detection; (2) education in combination with domain knowledge improves fake news detection; and (3) personality trait conscientiousness contributes significantly to fake news detection in all dimensions. 相似文献
15.
《Information processing & management》2022,59(4):102959
False news that spreads on social media has proliferated over the past years and has led to multi-aspect threats in the real world. While there are studies of false news on specific domains (like politics or health care), little work is found comparing false news across domains. In this article, we investigate false news across nine domains on Weibo, the largest Twitter-like social media platform in China, from 2009 to 2019. The newly collected data comprise 44,728 posts in the nine domains, published by 40,215 users, and reposted over 3.4 million times. Based on the distributions and spreads of the multi-domain dataset, we observe that false news in domains that are close to daily life like health and medicine generated more posts but diffused less effectively than those in other domains like politics, and that political false news had the most effective capacity for diffusion. The widely diffused false news posts on Weibo were associated strongly with certain types of users — by gender, age, etc. Further, these posts provoked strong emotions in the reposts and diffused further with the active engagement of false-news starters. Our findings have the potential to help design false news detection systems in suspicious news discovery, veracity prediction, and display and explanation. The comparison of the findings on Weibo with those of existing work demonstrates nuanced patterns, suggesting the need for more research on data from diverse platforms, countries, or languages to tackle the global issue of false news. The code and new anonymized dataset are available at https://github.com/ICTMCG/Characterizing-Weibo-Multi-Domain-False-News. 相似文献
16.
作为百姓和政府之间的桥梁和纽带,电视民生新闻栏目已进入品牌化经营阶段。电视民生新闻采编人员素质的高低,直接影响着节目的质量,影响着观众的收看积极性,所以电视民生新闻采编人员的素质提升和团队建设是其品质提升的关键所在和当务之急。 相似文献
17.
新闻舆论监督在马克思主义新闻学和我们党及国家工作中有着重要地位和作用,是媒体的重要功能,随着政治文明的推进和人民群众法制、民主意识的提高,新闻舆论监督越来越受到重视,新闻舆论监督是社会发展的要求,新闻工作的职责,人民群众的愿望,党和政府改进工作的手段。因此加强我国新闻舆论监督是势在必行的。本文就从我国新闻舆论监督的特点,新闻舆论监督的重要性并以事例进行了论述。 相似文献
18.
从主题导向、报道内涵、形式锤炼、技术展现、宣传效果5个方面全面分析了网络新闻价值评估的意义和原则,构建了网络新闻的价值评估体系和结构方程模型,并且计算了评估例子,为网络新闻价值评估实际工作提供有益的参考。 相似文献
19.
《International Journal of Information Management》2014,34(2):272-284
Company movements and market changes often are headlines of the news, providing managers with important business intelligence (BI). While existing corporate analyses are often based on numerical financial figures, relatively little work has been done to reveal from textual news articles factors that represent BI. In this research, we developed BizPro, an intelligent system for extracting and categorizing BI factors from news articles. BizPro consists of novel text mining procedures and BI factor modeling and categorization. Expert guidance and human knowledge (with high inter-rater reliability) were used to inform system development and profiling of BI factors. We conducted a case study of using the system to profile BI factors of four major IT companies based on 6859 sentences extracted from 231 news articles published in major news sources. The results show that the chosen techniques used in BizPro – Naïve Bayes (NB) and Logistic Regression (LR) – significantly outperformed a benchmark technique. NB was found to outperform LR in terms of precision, recall, F-measure, and area under ROC curve. This research contributes to developing a new system for profiling company BI factors from news articles, to providing new empirical findings to enhance understanding in BI factor extraction and categorization, and to addressing an important yet under-explored concern of BI analysis. 相似文献