网络新闻评论分析

本文从新闻学与传播学的角度,对网络新闻评论进行系统的分析和总结,以期对网络新闻评论的发展得出一点规律性的认识。     

网络评论语言的特点、功能及问题

网络新闻评论语言具有平民化、口语化、趣味性等特点,同时也存在一些问题。网络新闻评论是一种依附于网络新闻而存在的传播形式,是网民思想感情的流露。随着互联网的普及,网络新闻评论已经成为网络新闻的一部分,表现出独特功能,同时也存在不少问题。本文对网络新闻评论语言的特点、功能和存在的问题进行分析,并在此基础上提出了一些对策。网络新闻评论语言相对于传统新闻评论的特点网络新闻评论语言与传统新闻评论有相似之处,也有差别。其语言特点主要有以下几个方面:     

论网络新闻评论中的批判性思维

以网络新闻评论中的批判性思维作为切入点,分析网络新闻评论的诸多特点和批判性思维的重要作用,找出在网络新闻评论中运用批判性思维所存在的误区,提出在网络新闻评论中运用批判性思维的正确方法。     

网络新闻评论对传统新闻评论的突破

近年来,网络新闻评论得到了迅速的发展,并产生了越来越大的影响,也因此逐渐成为新闻学界的一个研究热点。多数研究从一个侧面或者个案人手,分析网络新闻评论的舆论影响力及其对传统新闻评论的冲击,这些研究为我们认识网络新闻评论提供了不同的视角和有益的启示。那么,作为一种与新媒体伴生的产物,网络新闻评论对传统新闻评论有哪些发展？换句话说,与传统媒体新闻评论相比,网络新闻评论有哪些突破和创新？     

网络新闻评论的“微”力量——浅析微博对网络新闻评论的影响

微博作为媒介民众化转向的代表,使越来越多的普通人参与到媒介当中来。作为网络新闻评论的一股"微"力量,它不仅拓展了网络新闻评论的来源渠道、增强了网络新闻评论的互动性,还扩大了网络新闻评论的影响力,但是,对微博评论来源真实性的质疑与隐藏在当中的非理性情绪,又给网络新闻评论带来了消极的影响。本文就微博对网络新闻评论的影响做了简要的分析与思考。     

网络新闻评论和专题的评奖标准

一、网络新闻评论的评价标准 作为中国新闻奖新设项目,网络新闻评论与传统媒体新闻评论（尤其是报纸和通讯社新闻评论）的差异存在争议。从当前对网络新闻评论的评价标准来看,基本可以总结为四个方面的要求。     

浅析网络新闻评论的优势

随着互联网技术的不断发展,网络新闻评论也伴随着网络新闻的发展而显出勃勃生机。本文分析了网络新闻评论相较传统新闻评论而言具有不可替代的优势。     

数字传播背景下网络新闻评论的发展探析

网络新闻评论发展的同时,也出现了症结,本文重点论述了数字传播为网络新闻评论带来的巨大发展契机,并结合当前网络新闻评论的主要问题提出了发展对策。     

我国网络新闻评论文献综述

本文就目前我国关于网络新闻评论的相关文献进行了梳理,从网络新闻评论的概念和范畴界定、传播特点、舆论导向、面临的问题和发展趋势等方面作了总结,对我国网络新闻评论的下一步研究方向作了初步展望。     

网络新闻评论的特点及影响

网络新闻评论是指在网络上发表的就当前新闻事件或事态发表的评价性意见。本文分析了网络新闻评论具有连续性、交互性、意见表达多元性等特点,并辩证地指出网络新闻评论的正面影响和存在的问题。     

Political Participation and Ideological News Online: “Differential Gains” and “Differential Losses” in a Presidential Election Cycle

Observations of the contemporary news media environment often revolve around the topics of ideological polarization and blurred boundaries between mass and interpersonal communication. This study explores these topics through a focus on the association between ideologically oriented online news use, commenting on online news, and political participation. We hypothesize that both ideological online news use generally and proattitudinal online news use are positively related to political participation and that online news commenting creates “differential gains” by augmenting these relationships. Yet we also hypothesize that counterattitudinal online news use is negatively related to political participation and that online news commenting creates “differential losses” by exacerbating this relationship. Analyses of two independently collected and nationally representative surveys found that frequent ideological online news use, proattitudinal online news use, and commenting are all positively related to political participation. We found no evidence for differential gains as a result of online commenting but only for differential losses—counterattitudinal online news use interacts with commenting to create a negative relationship with political participation.     

A Neurotic Extrovert Who is Open to New Experiences? Understanding How Personality Traits May Impact the Commenting Behaviors of Online News Readers

This article develops a theoretical context for the influence of personality traits on commenting behaviors on online news Web sites. Drawing on the literature of personality, and online behaviors, we examine how personality traits may influence which individuals make contributions on news Web sites. Additionally the article focuses on how the commenting “landscape,” in particular moderation policies and user interfaces, may impact those who contribute.     

Diversifying Likes

News sharing and commenting are arguably some of the most interesting aspects of how news is consumed and interacted with online. Finding answers to questions regarding who engages in these ways, what type of content gets engaged with, and why certain items are shared and commented upon but not others, are of the utmost importance for those who want to navigate the complex echo system of online news flows. The paper at hand addresses the latter two of the three posed questions—what gets shared or commented on, and why—in the context of the social networking site Facebook. Detailing the influences of Reactions, an expansion of the “Like” button, launched during the spring of 2016, the presented analysis finds that Reactions such as “Love”, “Haha”, “Wow”, “Sad” and “Angry” emerge as somewhat unpopular compared to the original “Like” functionality. Moreover, while more positive forms of Reactions appear to have a hampering effect on the willingness of news consumers on Facebook to engage by means of sharing and commenting, more negative varieties of Facebook Reactions appear to yield adverse influences.     

Engaging the Social News User

One of the most common formats of audience participation in journalism consists of online reader comments in response to articles, weblogs, or online television and radio broadcasts. While initially the audience only commented on media platforms themselves, Facebook made it possible to outsource commenting to a third-party platform. The options users have, the rules commenters are obliged to follow, and the moderation regime they confront, could influence the quantity and quality of comments. In this study, we explore how news media deal with audience comments on Facebook and their own news site, and how this influences the quality and quantity of comments. We compared comments on news platforms and Facebook of 62 Dutch national and regional newspapers, public and commercial broadcasters, newsweeklies, national news programmes, and online news sites. Subsequently, we analysed the content of the comments with the qualitative text analysis tool MAXQDA. The results indicate that news media prefer outsourcing comments to Facebook although commenting on their own platforms is still possible. By discouraging anonymous responses, the quality of comments improved but above all the quantity of comments decreased after outsourcing comments to Facebook.     

真实记录与戏剧元素的巧妙结合——简析央视《社会记录》栏目的表达观念

本文通过对《社会记录》独特表达方式的评析探讨其区别于其他社会新闻栏目的富有人文精神表达观念。     

网络新闻事件分类体系及事件本体建模语料库标准化研究

本文基于线分类法构建网络突发性新闻事件分类体系,提出常见网络新闻事件信息分类体系的类目划分原则和分类代码定义方法,并以地震专题新闻事件为例,给出事件本体语料库的建设流程以及新闻事件本体模型的构建方法,为网络新闻事件信息分类和本体语料库建模提供思路和借鉴。     

Are You Talking to Me?

Social media has become a key medium for discussion and dissemination of news stories, fuelled by the low barrier to entry and the ease of interaction. News stories may be propagated through these networks either by official news organisation accounts, by individual journalists or by members of the public, through link sharing, endorsing or commenting. This preliminary research aims to show how computational analysis of large-scale data-sets allows us to investigate the means by which news stories are spread through social media, and how the conversation around them is shaped by journalists and news organisations. Through the capture of more than 11 million tweets relating to 2303 Twitter accounts connected to journalism and news organisations, we are able to analyse the conversation within and around journalism, examining who spreads information about news articles and who interacts in the discussion around them. Capturing the tweets of news organisations and journalists and the replies and retweets of these micro-blogs allows us to build a rich picture of interaction around news media.     

Assessing “The Regulars”—and Beyond

Commenting on online news articles must be considered an online staple—an established practice among news consumers that is currently being funnelled from the Web pages of news organizations to third-party platforms such as Facebook. The paper at hand adopts an exploratory approach and provides insights into the fervency and popularity of commentators and comments on the Facebook pages of two Swedish and two Norwegian newspapers. The results indicate that while immigration issues are a common topic in both countries, the Swedish context stands out by also featuring high degrees of commenting activity in relation to issues of gender equality. Identifying a series of differences in how these opportunities to comment on news are used in each country, the Swedish context appears to offer a wider range of opinions among the most fervent commentators in comparison with Norway. A similar tendency is found among the most “liked” comments.     

Online Political Discourse: Exploring Differences in Effects of Civil and Uncivil Disagreement in News Website Comments

An experiment (N = 272) demonstrated that disagreement—either civil or uncivil—may have a chilling effect on the public discourse vital to a deliberative democracy. Both forms of disagreement—in comments posted on a news story about abortion—caused negative emotion and aggressive intentions. However, only uncivil disagreement led people to respond back uncivilly and indirectly led to greater intention to participate politically, if it aroused aggressive feelings. Findings support extending face and politeness theories to the computer-mediated space of online commenting. Results are discussed in relation to the impact on the public discourse.     

CNN与Fox News竞争分析

CNN和FoxNews在世界有线电视中占有重要地位,1996年至今是美国有线电视网飞速发展的黄金时期,CNN与Foxnews之间的两强竞争格局是推动有线网健康快速发展的核心动力,理解CNN与FOXNews之间的竞争关系是十年来美国有线新闻网发展的关键,为探寻美国有线电视未来的方向提供了可能。