How and why are educators using Instagram?     

《Teaching and Teacher Education》2020

Social media are commonplace in many educators’ lives, but their Instagram activities have received no prior attention in the empirical literature. We therefore created and disseminated a survey regarding educators’ Instagram use. Analyses of 841 responses suggested participants were generally intensive users of Instagram who engaged in the exchange of both professional knowledge and wisdom, as well as affective support. In addition to identifying benefits to Instagram use, some participants offered critiques of Instagram’s professional utility. We discuss the implications of these findings for educators’ work in a digital era and the future of research on educators’ social media activities.  相似文献   

The effect of toxicity on COVID-19 news network formation in political subcommunities on Reddit: An affiliation network approach     

《International Journal of Information Management》2021

Political polarization remains perhaps the “greatest barrier” to effective COVID-19 pandemic mitigation measures in the United States. Social media has been implicated in fueling this polarization. In this paper, we uncover the network of COVID-19 related news sources shared to 30 politically biased and 2 neutral subcommunities on Reddit. We find, using exponential random graph modeling, that news sources associated with highly toxic – “rude, disrespectful” – content are more likely to be shared across political subreddits. We also find homophily according to toxicity levels in the network of online news sources. Our findings suggest that news sources associated with high toxicity are rewarded with prominent positions in the resultant network. The toxicity in COVID-19 discussions may fuel political polarization by denigrating ideological opponents and politicizing responses to the COVID-19 pandemic, all to the detriment of mitigation measures. Public health practitioners should monitor toxicity in public online discussions to familiarize themselves with emerging political arguments that threaten adherence to public health crises management. We also recommend, based on our findings, that social media platforms algorithmically promote neutral and scientific news sources to reduce toxic discussion in subcommunities and encourage compliance with public health recommendations in the fight against COVID-19.  相似文献   

Identifying the combinations of motivations and emotions for creating satisfied users in SNSs: An fsQCA approach     

《International Journal of Information Management》2020

Social Networking Sites (SNSs) play an important role in our daily lives and the number of their users increases regularly. To understand how users can be satisfied in the complex digital environment of SNSs, this study examines how motivations and emotions combine with each other to explain high satisfaction. Users’ motivations comprise four attributes, entertainment, information, social-psychological, and convenience. Emotions are divided into their two main categories, that is positive and negative emotions. We draw on complexity and configuration theories, present a conceptual model along with propositions and perform a fuzzy-set qualitative comparative analysis (fsQCA). Through an empirically study with 582 SNSs users, we present eight combinations (configurations) of motivations and emotions that lead to high satisfaction, which highlight the role of high convenience, followed by entertainment and information motivations in being satisfied with SNSs. High satisfaction can be achieved both when positive and negative emotions are high and low, depending on how they combine users’ motivations. None of the factors are indispensable to explain high satisfaction on their own, instead they are insufficient but necessary parts of the causal combinations that explain high satisfaction. This study contributes in SNSs literature by extending current knowledge on how motivations and emotions combine to increase satisfaction, and by identifying specific patterns of users for whom these factors are important and influence greatly their satisfaction.  相似文献   

Creating value from Social Big Data: Implications for Smart Tourism Destinations     

Pasquale Del Vecchio  Gioconda Mele  Valentina Ndou  Giustina Secundo 《Information processing & management》2018,54(5):847-860

This paper aims to demonstrate how the huge amount of Social Big Data available from tourists can nurture the value creation process for a Smart Tourism Destination. Applying a multiple-case study analysis, the paper explores a set of regional tourist experiences related to a Southern European region and destination, to derive patterns and opportunities of value creation generated by Big Data in tourism. Findings present and discuss evidence in terms of improving decision-making, creating marketing strategies with more personalized offerings, transparency and trust in dialogue with customers and stakeholders, and emergence of new business models. Finally, implications are presented for researchers and practitioners interested in the managerial exploitation of Big Data in the context of information-intensive industries and mainly in Tourism.  相似文献   

体育明星电视广告代言研究          下载免费PDF全文

孙文树 《河北体育学院学报》2019,33(1):28-33

以中央五频道2013—2015年间播放的电视广告为样本，采用内容分析法对体育明星的电视广告代言情况进行分析。结果显示：①体育明星进行电视广告代言的比例非常高，占27.66%；而在电视商业广告中，这一数字达到了36.05%，说明体育明星在电视广告中的流行程度非常高。②电视广告中体育明星的代言内容十分广泛，以汽车、公益、体育用品、酒类、赛事、媒体、企业形象、饮品等八类为主，并且体育相关产品的51.0%、非体育相关产品的25.7%都是由体育明星来代言的。③体育明星代言电视广告的数量与奥运会密切相关，企业选择体育明星作为代言人受体育明星的流行程度、匹配性、领域地位等因素的影响。④未来体育明星电视广告一定程度上会受移动广告的冲击，但是体育娱乐化也进一步拓宽了体育明星代言电视广告之路。  相似文献   

面向社交媒体的细粒度ADR本体的半自动构建方法研究     

魏巍  傅维刚 《图书情报工作》2019,63(3):108-114

[目的/意义]提出一个药物不良反应本体的半自动构建方法，构建的细粒度药物不良反应本体为利用社交媒体挖掘潜在的药物不良反应信号提供语义资源库。[方法/过程]首先，采用业务层次和语言层次相分离的设计理念，将用户在社交媒体中评论的药物不良反应表示成"对象要素-属性要素-描述概念"的形式。细粒度体现在社交媒体用户对药物同一不良反应描述概念表达的多样性上。然后，基于深度学习的思想，利用基于word2vec的描述概念候选词抽取算法自动地抽取出更多的描述概念候选词构建本体。[结果/结论]以糖尿病药物的建模实例表明，提出的细粒度药物不良反应本体的半自动构建方案，提高了本体构建的智能化水平，构建的细粒度药物不良反应本体为利用社交媒体挖掘潜在的药物不良反应信号提供语义资源库。  相似文献   

Combining different evaluation systems on social media for measuring user satisfaction     

Simona Balbi  Michelangelo Misuraca  Germana Scepi 《Information processing & management》2018,54(4):674-685

Web 2.0 allows people to express and share their opinions about products and services they buy/use. These opinions can be expressed in various ways: numbers, texts, emoticons, pictures, videos, audios, and so on. There has been great interest in the strategies for extracting, organising and analysing this kind of information. In a social media mining framework, in particular, the use of textual data has been explored in depth and still represents a challenge. On a rating and review website, user satisfaction can be detected both from a rating scale and from the written text. However, in common practice, there is a lack of algorithms able to combine judgments provided with both comments and scores. In this paper we propose a strategy to jointly measure the user evaluations obtained from the two systems. Text polarity is detected with a sentiment-based approach, and then combined with the associated rating score. The new rating scale has a finer granularity. Moreover, also enables the reviews to be ranked. We show the effectiveness of our proposal by analysing a set of reviews about the Uffizi Gallery in Florence (Italy) published on TripAdvisor.  相似文献   

全球媒体语境下广州城市形象的传播与建构     

王大可  李本乾 《中国名城》2020,(5):93-98

城市形象是城市竞争力的重要组成部分。依托全球媒体有关广州的报道,对广州城市形象的全球媒体影响力开展实证分析,并从强化政府主导、畅通参与渠道;融入国家战略、提升传播层级;推进科技创新、塑造崭新形象;发展数字产业、夯实传播基础;布局未来传播、增强舆论引导等方面构建提出了增强广州城市形象全球传播能力的对策建议。  相似文献   

用户动机视角下的Altmetrics指标研究     

刘晓娟  王晨琳 《图书情报知识》2020,(3):63-70,96

[目的/意义]从用户动机视角对Altmetrics指标的本质和价值进行分析,使Altmetrics的应用更为科学合理。[研究设计/方法]首先对相关文献中的动机进行组织提炼与规范化表述。在此基础上引入用户行为理论解释和分析用户动机体现的指标价值。再选取Twitter提及量指标,使用内容分析法进行案例研究。[结论/发现]提炼出19种用户动机,其中有6种动机会降低指标应用价值。[创新/价值]探索Altmetrics数据的产生机制,在一定程度上回答了Altmetrics指标可用性问题。  相似文献   

政务B站号信息传播效果影响因素与实证研究     

陈强  张杨一  马晓悦  曾润喜 《图书情报工作》2020,64(22):126-134

[目的/意义] 作为政府与青年群体沟通的重要平台，政务Bilibili账号的信息传播效果直接决定其沟通效率和效果。对政务Bilibili账号信息传播效果影响因素的研究有利于沟通效果的提升。[方法/过程] 本研究基于共青团中央Bilibili账号的471个样本，采用内容分析和回归分析等系统考察内容主题、视频类别、封面图类型、屏幕形式、字幕、组织形式、剪辑率和视频时长等因素对政务Bilibili账号信息传播效果的影响。[结果/结论] 结果表明，科技类、音乐类和时尚类主题的视频能够提升整体传播效果，科技类视频的贡献度最高；情景剧、实拍视频和监控视频都正向显著影响整体传播效果，实拍视频的贡献度最高。视频剪辑率、竖屏视频、字幕添加、合作创作等均能显著提高整体传播效果，竖屏在整体传播效果模型中的贡献度最大。视频时长和封面图的作用不显著。政务Bilibili账号运营应充分释放青年的爱国势能、创新视频形式、优化视频制作流程、创新组织形式。  相似文献