融媒进程中的急先锋——电视新闻节目主持人话语转型策略研究

随着媒介融合速度的持续加快，电视新闻媒体得到了更为宽广的发展空间。在此种新形势下，电视新闻节目的主持人正面临着更为严峻的挑战。如何发挥出自身在融媒发展进程中的急先锋作用，保证电视新闻节目的可持续发展，并借助于新媒体技术手段来加速话语转型，是所有电视新闻节目主持人都要认真思考的问题。为此，本篇文章分别从用户需求、话语方式、话语渠道这三个角度出发，有针对性地列举了几点促进新闻节目主持人话语转型的措施建议，供参考。     

以“全媒体”广告营销平台重聚碎片化消费者

随着数字媒体时代的来临,以往的商业逻辑正在被颠覆。近年来,广告营销渠道日益显现出扁平化、网络化和全球化等新的特征,信息经由更为自由、高速的营销渠道被更为广泛、快速的传播,使得营销机构及人员对信息的管理与控制面临诸多矛盾,想要解决这些问题,就需要在数字化传播背景下重新观察消费者的碎片化消费行为,以及他们与传播媒介接触点。     

浅谈置入式广告的发展与营销模式

置入式广告跳出了传统广告的直白诉求模式,以更加隐蔽、巧妙的方式潜入消费者的视野,于不经意间强化他们对于广告信息的感知和接受,在常规广告愈来愈受到抵触和排斥的今天,置入式广告为企业提供了一种更为有效的广告营销方式。     

置入式广告营销初探

置入式广告跳出了传统广告的直白诉求模式，以更加隐蔽、巧妙的方式潜入消费者的视野，于不经意问强化他们对于广告信息的感知和接受，在常规广告愈来愈受到抵触和排斥的今天，置入式广告为企业提供了一种更为有效的广告营销方式。     

完善中国广告的话语体系

最近有两件事让我深思。一件,是广东的《21世纪经济报道》报近期连续刊登了一个叫"成美"的小公司挑战奥美的所谓"成美的观点",以及奥美广告公司曾经做过的几个被认为是失败的案例。吸引我的不是这些内容本身。而是这些内容所引来的广泛的认同与前所未有的影响力。这意味着对于以4A 为中心的广告话语体系的怀疑。另一件,是某大学广告系主任提到的一件事,当检查团要求他的广告系按"211"常规,达到师资力量的30%要拥有博士学位时,他提出一个问题:"我要这些博士干什么?"这确实是一个问题,因为相比其他学科,中国广告的话语体系太不完善了。博士能学到什么?博士原有的知识构成能融进这个话语结构吗?中国广告话语体系的构建可以划分为两个大的阶段,90年代中期以前,可以称之为牙牙学语,同义重复的时     

广告：我不只要和你谈情说爱

“电视也播了，公关也做了，网络也投了，怎么还是只见楼梯响，不见人下来？消费者难道真的不知道我对他们有多爱，有多真吗？”不只是广告主百思不得其解，消费者的飞速变化也让诸多广告老将无所适从。难道广告真的已没有了新鲜做法？我们细细留心，就可以发现，一股广告新风正在全球兴起．     

2010，让广告更不像广告

“不像广告的广告,才是好广告”,这句口号喊了很多年,但是看看电视、报纸、杂志、网络上的广告吧,哪一个不是充满了商业的目的？有人不同意了,说广告本来就是带有商业目的的啊!没错没错,客户付给我们薪水,我们就要用广告帮助他们建立形象、提升销量。但是别忘了,如果消费者在第一秒就心存戒备,那么你如何在最后一秒让他们喜欢你的客户？     

我们的终端到底还有思考吗？

我们的很多企业在困惑，很多企业的传播经理在愤怒，我们的消费者到底怎么了？为什么我们无论是发射催泪弹还是恐吓书，无论我们把广告如何花哨地包装上视或者是上终端，消费者除了对买赠有冲动，其他的都没有表现出对他们的吸引，就像一种冷淡横在我们和消费者中间。     

百度 重建关键词

传统的精准类广告以搜索引擎为主,而现在产生了精准型的展示广告,我们能够在了解用户需求基础上,通过广告平台提供给消费者他们喜欢的更为多元、丰富、感染性强的广告模式。百度希望"关键词搜索"从此不再是百度惟一的"关键词"。     

从博客看平民话语权

随着互联网的普及尤其是博客的飞速发展,平民话语权日益成为讨论的热点。不少论者认为平民话语权意味着每个个体都被赋予了平等的话语权,意味着更多自由和民主。本文试图运用福柯关于话语和权力的讨论,揭示出隐藏在平民话语权背后的真相,指出所谓的平等、自由、民主实际上只是戴着镣铐的舞蹈。     

A cross-national study of Twitter users’ motivations and continuance intentions

Given the explosive popularity and growth of microblogging worldwide and its potential use in the areas of public policy, civic activism, as well as marketing and advertising, the questions of why and how individuals use these services warrant a comprehensive research. While some studies addressing motivations to join and continue using Twitter have been published, no research to date has investigated these issues in the context of developing economies. This exploratory study seeks to build an understanding of Twitter usage and continuance motivations in Ukraine, and compares them to those of the US users. The findings of the study suggest that participants in both countries use Twitter for professional development, entertainment, status maintenance, and social interaction and exchange. The Ukrainian participants, however, emphasize Twitter use for identity negotiation and self-expression, as well as for news updates and sharing. The study also examines how different motivations of joining Twitter affect current Twitter usage and continuance intentions, and provides implications for public policy and advertising.     

Following brands on Twitter: an extension of theory of planned behavior

Due to its immediacy and efficiency, Twitter has recently emerged as a form of marketing communication tool that offers unique advantages for two-way communication between marketers and consumers. This study examines brand-following behavior on Twitter using the Ajzen's model of theory of planned behavior (TPB). Results show that attitude toward brand following, subjective norm, perceived behavioral control, and brand attachment are positively associated with intention to follow brands on Twitter. Consumers’ intention to create (i.e., intention to tweet at brands) and disseminate (i.e., intention to retweet the links of brands) brand-related information, as well as purchase intention, are the outcomes of intention to follow brands on Twitter. Overall findings suggest that TPB model can be used to predict Twitter users’ brand-following behavior. More importantly, our finding that brand attachment drives consumer intention to follow brands on Twitter extends the TPB framework. This study provides both theoretical and managerial implications.     

Twitter use related to reality television characters: Association with increased marijuana use

In the United States, there are debates about marijuana legalization for either medical or recreational use. These debates may be reflected in traditional media, such as reality television, and through social media, such as Facebook or Twitter. We study the relationship of social media use for reality television topics and marijuana use. We surveyed 572 college students about marijuana use, demographic characteristics, reality television related Facebook and Twitter use, and other reality television variables. Logistic regression analyses studied the relationships of these variables to marijuana use. Following a reality television character on Twitter was significantly associated with increased odds for marijuana use. Reality television Facebook use was not significantly associated with marijuana use. In addition, women and Asian Americans were significantly associated with decreased odds for marijuana use. Those born in the United States were significantly associated with increased odds for marijuana use. Attitudes for reality television is fun, perceived realism of reality television, and behavior of watching a reality television program on health/medical topics were not associated with marijuana use. As following a reality television character on Twitter is significantly associated with increased odds for marijuana use, marketing campaigns can play a role with use of Twitter whether advocating for use or against use of marijuana. Marketing implications are provided regarding Twitter use for the various areas where marijuana use is either illegal or legal.     

Competing Voices: Marketing and Counter-Marketing Alcohol on Twitter

Excessive alcohol consumption constitutes a global health problem, and despite increasing efforts to promote safe drinking, spending on alcohol advertising far outweighs spending on safe-drinking messages. Twitter represents a new channel for social marketing, but its use to promote safe drinking has not been examined. In this study, six Twitter accounts maintained by advocates of safe drinking and/or abstinence were compared with six accounts maintained by alcohol companies using a mixed-method design. The Twitter accounts of alcohol companies were followed by more people, and their tweets were more likely to use interactive features such as hashtags, to be forwarded to others, and to be associated with positive stimuli, suggesting greater interactivity and influence than prohealth Twitter messages. The results suggest social marketers may benefit from adopting the practices of for-profit marketers to increase the visibility of, engagement with, and influence of their tweets.     

Social interaction via new social media: (How) can interactions on Twitter affect effectual thinking and behavior?

Social interaction plays a central role in effectuation processes, yet we know little about the implications for effectuation when an entrepreneur interacts via particular channels such as social media. To address this gap, our paper uses an inductive, theory-building methodology to develop propositions regarding how effectuation processes are impacted when entrepreneurs adopt Twitter. Twitter is a microblogging platform that can facilitate a marked increase in interaction. We posit that Twitter-based interaction can trigger effectual cognitions, but that high levels of interaction via this medium can lead to effectual churn. We also posit that there is one factor, perceived time affordability, that predicts the level of social interaction in which an entrepreneur engages via Twitter. Further, we propose two factors that moderate the consequences of social interaction through Twitter. These factors are community orientation and community norm adherence. Implications for our understanding of effectuation, of social interaction, and of the impact of social media on entrepreneurial firms are discussed.     

Brand followers

Both the advertising industry and academia have given increasing attention to the importance of consumer relationship building on social networking sites. By surveying 400 brand followers on Twitter, this study provides a baseline understanding of both motivations and relationships between identified motivations and key consumer–brand relationship variables (i.e. brand identification, brand community commitment, relationship continuance intention, and brand recommendation intention). In addition, we examined what factors affected attitudes towards brand communications on Twitter, based on the consumer socialisation framework. Our findings suggest consumers follow brands on Twitter because of four primary motivations: incentive seeking, social-interaction seeking, brand usage/likeability, and information seeking. The latter three were found to be significant predictors of the consumer–brand relationship variables. Also, individuals who communicate frequently with peers about brands and generally hold more favourable attitudes towards advertising are more likely to have positive attitudes towards brand communications via Twitter.     

Are we who we follow? Computationally analyzing human personality and brand following on Twitter

Abstract

In this study, we present a computational method for analyzing the congruence between personality of a brand’s Twitter account and the personality of their followers. We investigated attachment to brands on Twitter by computing personalities through a machine-learned computational analysis of Twitter postings rather than traditional personality tests. By studying three different brands, results revealed that on average, brand followers have personalities that are more congruent with the personality of brands they follow compared to users that do not follow those brands. Taking these findings into consideration, we discuss some considerations for advertising researchers and practitioners, as well as provide a new tool, the Brand Analytics Environment (BAE), to allow individuals without computer programming backgrounds to conduct this method themselves.     

User engagement for mobile payment service providers – introducing the social media engagement model

Twitter is being used by mobile wallet firms for customer acquisition, relationship management, marketing and promotional purposes. This study examines service advertisement and promotional tweets by mobile wallet firm's on Twitter. For this study, timeline data of top four mobile wallet firms of India, Paytm, MobiKwik, Freecharge and Oxigen Wallet were extracted from their Twitter screen (firm generated tweets). The user generated tweets were also extracted, using the search terms as firm's name. This study proposes a Social Media Engagement model for understanding user dynamics. The study provides three interesting inputs for promotional marketing tweets, firstly, firm should post mix of the tweets with respect to content type (i.e. informational, entertainment, remuneration and social). Secondly, a periodic campaigning is needed by the firms; and lastly, firms should focus on increasing their network size. The implications of these findings can help firm's managers and marketers in planning effective social media marketing campaigns.     

Antecedents of Retweeting in a (Political) Marketing Context

Word of mouth disseminates across Twitter by means of retweeting; however, the antecedents of retweeting have not received much attention. We used the chi‐square automatic interaction detection (CHAID) decision tree predictive method (Kass, 1980 ) with readily available Twitter data, and manually coded sentiment and content data, to identify why some tweets are more likely to be retweeted than others in a (political) marketing context. The analysis includes four CHAID models: (1) using message structure variables only, (2) source variables only, (3) message content and sentiment variables only, and (4) a combined model using source, message structure, message content, and sentiment variables. The aggregated predictive model correctly classified retweeting behavior with a 76.7% success rate. Retweeting tends to occur when the originator has a high number of Twitter followers and the sentiment of the tweet is negative, contradicting previous research (East, Hammond, & Wright, 2007 ; Wu, 2013 ) but concurring with others (Hennig‐Thurau, Wiertz, & Feldhaus, 2014 ). Additionally, particular types of tweet content are associated with high levels of retweeting, in particular those tweets including fear appeals or expressing support for others, while others are associated with very low levels of retweeting, such as those mentioning the sender's personal life. Managerial implications and research directions are presented. We make a methodological contribution by illustrating how CHAID predictive modeling can be used for Twitter data analysis and a theoretical contribution by providing insights into why retweeting occurs in a (political) marketing context.     

eWOM across channels: comparing the impact of self-enhancement,positivity bias and vengeance on Facebook and Twitter

Abstract

When sharing personal details, versus talking about others, consumers tend to accentuate the positive experiences they have with brands in order to self-enhance amongst friends. Consumers also take vengeance on brands in public venues. Turning to social network sites (SNSs), it is unclear which is dominant. Here historical Facebook and Twitter eWOM (n = 47,907) is analyzed for a static group of 783 active US consumers. Self-enhancement is found on both SNSs. The majority of eWOM is positive Vengeance was rare, occurring only in 10.3% of all eWOM. eWOM appears to mirror a consumer's non-eWOM sentiment valence across SNSs. In this cross-platform comparison we suggest that SNS affordances alter eWOM creation Facebook has privacy expectations and limits direct brand interactions. Twitter is a public platform with less privacy expectations and a larger customer service component. Here eWOM is more prevalent on Twitter but contrary to our expectations is more positive.