The influence of travel photo editing on tourists’ experiences

Photo editing has become a prevalent practice when people share their travel photos on social media. This study examines this understudied phenomenon by exploring travelers' photo-editing behavior and its impact on tourists' destination experiences. Three pilot interviews and 23 in-depth interviews were conducted using photo-elicitation. The results show that photo editing does not necessarily alter the objective part of the trip memories, but rather reminds tourists of more positive than negative memories. Compliments from the social media audience on the edited photos improve tourists' overall recall of their destination experiences and further enhance their reflection on these experiences. The findings also enrich the understanding of the hermeneutic circle of representation in tourists’ photo editing behavior.     

Seeing the wood for the trees: How machine learning can help firms in identifying relevant electronic word-of-mouth in social media

The increasing volume of firm-related conversations on social media has made it considerably more difficult for marketers to track and analyse electronic word-of-mouth (eWOM) about brands, products or services. Firms often use sentiment analysis to identify relevant eWOM that requires a response to consequently engage in webcare. In this paper, we show that sentiment analysis of any kind might not be ideal for this purpose, because it relies on the questionable assumption that only negative eWOM is response-worthy and it is not able to infer meaning from text. We propose and test an approach based on supervised machine learning that first decides whether eWOM is relevant for the brand to respond, and then—based on a categorization of seven different types of eWOM (e.g., question, complaint)—classifies three customer satisfaction dimensions. Using a dataset of approximately 60,000 Facebook comments and 11,000 tweets about 16 different brands in eight different industries, we test and compare the efficacy of various sentiment analysis, dictionary-based and machine learning techniques to detect relevant eWOM. In doing so, this study identifies response-worthy eWOM based on the content instead of its expressed sentiment. The results indicate that these machine learning techniques achieve considerably higher accuracy in detecting relevant eWOM on social media compared to any kind of sentiment analysis. Moreover, it is shown that industry-specific classifiers can further improve this process and that algorithms are applicable across different social networks.     

#Strongerthanwinston: Tourism and crisis communication through Facebook following tropical cyclones in Fiji

Because the tourism industry can be affected by various natural disasters, the media landscape with increasing social media, brings to tourism new possibilities and challenges in its preparing for, and handling, such disasters. The literature has paid little attention to social media's part in such phenomena. Therefore, this study explores how social media are used by hotels following Tropical Cyclone Winston in Fiji using mixed methods, based on interviews (n = 12) and hotels' real time Facebook posts (n = 1288). While we find that social media were underused in preparing for the disaster and response that followed, it played a crucial role in raising funds and donations during the recovery phase. We apply the social mediated disaster resilience (SMDR) model to allow this study to fill the knowledge gap in organizational disaster resilience literature. We show how social media are integrated in resilience-building and its potential for increasing hotel resilience.     

San Francisco Through Bogotá’s Eyes: Leveraging Urban Policy Change through the Circulation of Media Objects

This article connects two emerging debates in urban studies—the need to pay more attention to the role of nonhuman actors in urban planning and the ways in which media objects affect urban politics and planning—by examining how a video on Bogotá’s car‐free Ciclovía program facilitated the adoption and implementation of a similar program in San Francisco. The analysis shows that media objects have the capacity to act as fulcrums in processes of leveraging urban policy change owing to their potential to alter urban governance structures. The article analyzes the digital storytelling and ‘eye‐opening’ practices through which the video enabled policy changes to be implemented in San Francisco, while also tracing the local and transnational actors, networks and agendas that were involved in the production and circulation of the video through digital archival research and multi‐sited fieldwork. In doing so, it shows the active role that media objects play in shaping urban policymaking processes and provides an example of a relational methodology for studying the digital materialities through which urban policy ideas increasingly circulate.     

Instant messaging continuance: A media choice theory perspective

Instant Messaging (IM) has become one of the most popular applications for many Internet users. While prior research has primarily focused on IM initial adoption, continued usage (or continuance) has not drawn much attention. This research integrates media choice theories with motivation theory to explain IM continuance. It tests the proposed model using data collected from a sample of 207 Chinese university students via an online survey. Results indicate that perceived enjoyment, perceived critical mass are key to IM continuance intention. Perceived social presence and perceived critical mass are positively associated with perceived enjoyment. We also find that perceived social presence, perceived media richness and perceived enjoyment have significant effects on perceived usefulness.     

流媒体技术及其在电力运行中的应用

介绍了流媒体技术的起源、相关概念和流媒体组成系统的基础原理等,并系统地研究了流媒体的文件格式、制作技术、播放方式和压缩编码技术等。文章重点地阐述了流媒体在因特网上传播的关键技术——流式传输,并在此基础上对流媒体技术尤其是在电力运行系统中的应用提出了建议和看法。     

企业价值链与商业模式创新的路径关系——基于电视传媒企业的分析

本文针对中国电视传媒企业内容同质化严重问题,以国内21家电视传媒企业为样本进行电视传媒企业价值链与商业模式创新路径之间关系的实证研究,验证电视传媒企业价值链类型与商业模式创新路径之间存在着正向关联性。研究结果表明,电视传媒企业可以通过选择和构建不同类型的价值链,锁定核心价值环节进行相应的商业模式创新。     

专媒的中产阶层受众定位研究

20世纪90年代以来,在中国内地,逐步有许多媒体将自己的受众定位于中产阶层,体现出媒体与中产阶层建立起了直接的利益、情感的认同。我们从受众商品意识、受众定位的话语以及媒体的广告服务中都可以辨识到这一点。     

网络媒体环境下企业危机公关分析

企业发展过程中难免遭遇危机,从发生机理、发展路径到应对策略,网络环境下的危机与传统环境下的危机有很大不同。通过梳理网络环境危机的特征,建立公关危机的生命周期模型,并结合家乐福、三株等案例对网络环境下的企业危机公关进行比较分析,认为在网络媒体环境下危机成型时期主动联络媒体,能有效控制风险并顺势转危为机;同时也提出了进行危机公关的策略。     

Capital Income Taxation,Economic Growth and Heterogeneity in the Motivation to Give

This study provides a comprehensive analysis of the relationship between capital income taxation and economic growth within an overlapping generations model when individuals may bequeath wealth. The altruistic concern is modeled as a synthesis of joy‐of‐giving and family altruism so that individuals may derive utility from the amount of bequest itself and by providing children with a disposable income later on in life. Using this framework, it is shown that, in contrast to the existing literature, increasing the capital income tax rate may well enhance growth under operative bequests.