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1.
[目的/意义] "一带一路"倡议的提出引起了国内外广泛的关注，众多国家的用户在最具代表性的社交媒体Twitter中表达观点、发表评论、相互讨论。从推文中挖掘得出世界对"一带一路"的讨论主题和情感倾向，有助于为政府机构优化宣传策略，增加"一带一路"倡议的曝光度、关注度提供参考。[方法/过程] 采集2017年与"一带一路"相关的6万余条推文，分别按照中文和英文进行数据预处理、数据描述、主题挖掘、情感分析，并实现主题和情感的交叉分析，得出结论。[结果/结论] 2017年的推文主题主要围绕5月份的"一带一路"高峰论坛。其中，中文推文更关注高峰论坛的筹划和实施，以及安全问题、领导层的访问等方面的内容，情感值的波动较大，特别是安全问题上的消极情绪波动很大。英文推文则更关注举办高峰论坛的事实以及论坛所带来的经济效应，情感波动较小，经济方面的情感值是积极占比明显高于消极和中立的情感值。 相似文献
2.
档案机构微信推文的行业辨识度是档案机构微信质量建设的重要组成部分。文章用例证法从行政性、文化性和娱乐化三方面分析了档案机构微信推文行业辨识度问题产生原因。基于议程设置原理对档案机构微信推文推送优先度提出建议,从"多推档案事"和"多用档案说事"两个角度提出解决档案机构微信推文内容行业辨识度问题的方法,融入历史主义思想和档案表征解决档案机构微信推文形式创新问题。 相似文献
3.
Kirsten A. Johnson 《Journalism Practice》2020,14(1):48-66
ABSTRACTThis experimental study examined the impact of posting different types of tweets on a journalist’s perceived credibility. Three-hundred-and-eighty-seven participants were randomly assigned into one of three groups. One group saw tweets from a journalist that were about the journalist’s personal life, another group saw tweets from the same journalist that were written objectively about news stories, and the third group saw tweets from the same journalist that contained the journalist’s opinion regarding news stories. Participants who read the personal tweets about the journalist’s life rated the journalist highest in perceived credibility. The perceived credibility of the journalist was ranked significantly lower by participants who read the tweets that only contained the journalist’s opinion. Participants were also asked to rate the credibility of the organization for which the journalist worked. The perceived credibility of the organization was rated significantly higher by those who read the objective tweets. Organizational credibility was rated lowest by those who read the tweets that contained the journalist’s opinion. This study has important implications for journalists who use Twitter and wish to improve their personal and organizational perceived credibility. 相似文献
4.
突发公共卫生事件利益相关者的社会网络情感图谱研究 总被引：3，自引：0，他引：3
[目的/意义]构建突发公共卫生事件利益相关者的社会网络情感网络图谱,以可视化的方式分析突发公共卫生事件中各类利益相关者的情感状态和分布,探寻利益相关者之间的情感传播路径,并结合舆情话题综合分析利益相关者的情感演化态势。[方法/过程]以"魏则西事件"为例,通过微博转发关系构建微博用户的社会关系网络,同时标识各用户的利益相关者类型,并计算用户的情感类型及情感强度嵌入社会网络中构建出社会网络情感图谱。[结果/结论]普通群众的情绪更强烈且易受意见领袖影响,在事件爆发期和蔓延期,主流媒体和自媒体对普通群众的情感影响较大,在衰退期,政府人员和医护人员的参与增加且情感影响变大。随着舆情的演化,各类利益相关者的主导情感也随着变化,自媒体和企业在情感传播中起重要的桥梁作用。 相似文献
5.
Kelly M. Meyer 《媒体管理杂志》2015,17(4):241-257
A content analysis of 4,507 tweets from 60 local news organizations in the United States was conducted to examine Twitter strategies used by the local news industry. Results indicate that local news organizations in the United States mainly used Twitter as an additional platform for news dissemination. While local TV stations and newspapers differed significantly in their use of tweet structures, content, and strategies, both followed the similar practices of their traditional media portals. In addition, the number of followers and total tweets of a news organization’s Twitter account, use of photos, hashtags, usernames, and tweet content predicted audience engagement with the site. Overall, local news organizations in the United States did not appear to use Twitter to cross-promote and/or supplement their traditional business practices. This research calls for more systematic, multi-dimensional social media management in local newsrooms. 相似文献
6.
《Government Information Quarterly》2022,39(3):101686
Police departments increasingly use social media for enhancing their relationships with citizens. However, little is known about how specific characteristics of police-initiated messages affect whether and to what extent citizens engage with the former. This study looks at 11 large police departments using Twitter in Germany. Based on a multimethod approach, it explores the effect of content type and two emotional elements (i.e. arousal and valence) of tweets on different dimensions of citizen engagement. The latter is measured as observable online behavioral responses to police tweets in form of likes, comments, and retweets. The results suggest that emotional arousal (i.e. the emotional intensity of a tweet) plays a key role in triggering all forms of citizen engagement, while emotional valence (more specifically, the negativity of a tweet) largely shows no effect. Moreover, the impact of content type (informative versus interactive) varies across the different engagement dimensions. 相似文献
7.
为提高图书馆微信公众号图书阅读推广文章的采纳程度,优化图书馆微信公众号图书阅读推广文章的编写技巧与发送方式,对图书馆微信公众号图书阅读推广文章采纳行为影响因素进行分析和实证检验。以详尽可能性模型和信息采纳理论为基础,结合微信公众号推广文章的特点,构建图书馆微信公众号图书阅读推广文章采纳行为影响因素模型和观测变量,采用结构方程分析方法进行实证。结果表明:外围路径因素中的标题趣味性、推文发送位置、内容突出程度和中心路径因素中的内容趣味性、推荐力度、图书获取途径均对图书馆微信公众号图书阅读推广文章采纳行为有显著影响,其中外围路径因素的影响大于中心路径因素。 相似文献
8.
Stuart Palmer 《The Journal of Academic Librarianship》2014,40(6):611-619
The work presented here characterise the engagement of one university library with two social media platforms popular with academic libraries. The collected data are analysed to identify the forms of Twitter and Facebook activity that engage library stakeholders in social media conversations. Associations were observed between: i) directed tweets from the library and mentions of the library by others on Twitter; and ii) comments from the library and comments from others on Facebook. Three broad classes of Twitter user interacting with the library were revealed: i) accounts strongly linked to the library with multiple to/from tweets; ii) those weakly linked to the library with, typically, a single tweet; and iii) those indirectly linked to the library through tweets mentioning the library and sent by other users. Two divergent forms of Facebook interaction with the library were highlighted: i) a library post generating a large sequence of comments, typically in response to a competition/challenge; and ii) a library post with no comments, typically a photo post or a post inviting readers to click a link to find out more about an event/service. The work presented here is an initial investigation that provides useful insights, and offers a methodology for future research. 相似文献
9.
Iana Sabatovych 《The Reference Librarian》2019,60(3):202-211
This study explored the potential of using sentiment analysis of tweets to predict referendum choices (Brexit). The feasibility of using StreamKM++ in the massive online analysis framework was examined over five categories, ranging from strongly agree to strongly disagree (to exit). A Naïve Bayes classifier was used to classify people’s opinions according to these categories. The prediction model resulted in high accuracy (97.98%), making it possible to use it in predicting opinions about public events and issues. The findings from this study may help practitioners, and policymakers understand the importance of sentiment analysis of social media in assessing public opinion and, accordingly, making certain voting predictions. 相似文献
10.
Language distribution in scientific communication reflects the influence of different languages on science in global perspective. The study, based on over 450 thousand scientific tweets of all publications indexed by Scopus in June 2015, reveals the language distribution in informal scientific communication. Moreover, this result is compared with the language distribution in formal scientific communication reflected in scientific publications. Results show: (1) The language of scientific tweets is concentrated in English (91%), Japanese (2.4%) and Spanish (1.7%), while the language of scientific publications is concentrated in English (90.6%), Chinese (5%) and German (1.1%). (2) Both scientific tweets and scientific publications present disciplinary differences in language distribution, reflecting the different amount of attention that authors of different languages have on certain disciplines. (3) Except Saudi Arabia, investigated countries all over the world, regardless of whether their native language is English or not, all have English scientific tweets in the dominant position. For the vast majority of these countries, the native language scientific tweets only rank the second position. (4) Overall, 26% of tweeters use more than one language to tweet scientific products, while 49% of scientific tweeters tweet everything in English only. The results indicate that English has undoubtedly become the lingua franca in informal scientific communication. 相似文献
11.
《Journal of Informetrics》2023,17(2):101383
Many altmetric studies have analyzed which papers were mentioned how often on Twitter (one of the most important altmetrics sources). In order to study the potential relevance of tweets from another perspective, we investigate which tweets were cited in papers. If many tweets were cited in publications, this might demonstrate that tweets have substantial and useful content. Overall, a rather low number of citations to tweets (n=13,149) by less than 7,000 papers was found. Most tweets do not seem to be cited because of any cognitive influence they might have had on studies; they rather were study objects. Thus, this study does not support a high relevance of tweets (for research). Most of the papers that cited tweets are from the subject areas Social Sciences, Arts and Humanities, and Medicine. Most of the papers cited only one tweet. Up to 65 tweets cited in a single paper were found. An author keyword analysis revealed that the single largest topic seems to be the COVID-19/corona pandemic. 相似文献
12.
This study analyzes Boston Mayor Thomas Menino’s rhetoric via Twitter following the Boston Marathon Bombing, exploring how a leader engaged in crisis communication using social media. Guided by restorative rhetoric, we examine how Menino included strategic communication (alleviate risk and restore public safety) and humanistic communication (focusing on the more substantive issues of crisis leadership) in his tweets. Our analysis is grounded in the five tenets of restorative rhetoric as a theoretical lens: initial reaction; assessment of the crisis; issues of blame; healing and forgiveness; and corrective action and rebuilding through a rhetorical vision. The findings demonstrate the utility of social media in aiding leaders as they provide critical information and guidance amid high uncertainty while also initiating the healing process, including fostering resilience. 相似文献
13.
《Government Information Quarterly》2023,40(2):101798
In situations of crisis, governments must acknowledge that communication is a major weapon in their armoury, and can be used to convince the public to accept sometimes stringent measures, while preventing a worsening of the situation by curbing any spread of panic. Theoretically, during a pandemic, fear can be contained at reasonable levels by governments counterbalancing uncertainty with information. However, there is no empirical evidence on how the flow of information during a crisis can influence emotional states among the population. In this process, social media appears to be a valuable tool for governments to observe emotional response in a population. In the light of this and within the context of the Italian government's social media campaign #iorestoacasa (‘I'm staying at home’) launched during the Covid-19 crisis, the current study utilises text analytics to explore the relationship between government and press communication, and the level of fear expressed by citizens through more than 200 thousand #iorestoacasa tweets. The results highlight how the content of the messages evolved in the early part of the outbreak and during the social media campaign. They suggest that in Italy the discussion regarding the efforts made by the European Council to find common solutions for dealing with the emergency has prompted a positive influence on public mood. Conversely, messages about people's individual vulnerability and the associated sense of an external locus of control correlated positively with levels of fear. This study opens new ways to support government communication during a crisis by monitoring public emotional response through social media. 相似文献
14.
《Library & information science research》2014,36(3-4):136-141
People spend an increasing amount of time using social media systems to network, share information, learn, or engage in leisure activities (e.g., gaming). Libraries too are establishing a social media presence to promote the library and provide services to user populations through the social media systems the users frequent. This study explores Twitter uses by six large academic libraries and factors that make library tweets useful. 752 tweets were analyzed by topic to develop a subject typology of library tweets. In addition, tweets and Twitter user characteristics were analyzed to explore what makes library tweets useful, as measured by the number of retweets and favorites received. Content analysis of the samples of library tweets revealed nine content types, with the event and resource categories being the most frequent. In addition, the analysis showed that tweets related to study support services and building and maintaining connections with the library community were the most frequently retweeted and selected as favorites. The presence of a URL in the tweet was positively associated with the number of retweets, and the number of users followed was positively associated with the number of favorites received. Finally, a negative correlation was found between the account age and number of favorites. 相似文献
15.
This study examined an organization’s crisis communication strategy (i.e., crisis response strategy and technical translation strategy) on social media and the public’s cognitive and affective responses. Twenty crisis communication messages posted by Foster Farms regarding a salmonella outbreak and 349 public responses were analyzed. The results showed that a technical translation strategy generated more public acceptance of the message and more positive emotions than a crisis response strategy. A crisis response strategy generated more public rejections of the message and more negative emotions than a technical translation strategy. 相似文献
16.
This article introduces a new language-independent approach for creating a large-scale high-quality test collection of tweets that supports multiple information retrieval (IR) tasks without running a shared-task campaign. The adopted approach (demonstrated over Arabic tweets) designs the collection around significant (i.e., popular) events, which enables the development of topics that represent frequent information needs of Twitter users for which rich content exists. That inherently facilitates the support of multiple tasks that generally revolve around events, namely event detection, ad-hoc search, timeline generation, and real-time summarization. The key highlights of the approach include diversifying the judgment pool via interactive search and multiple manually-crafted queries per topic, collecting high-quality annotations via crowd-workers for relevancy and in-house annotators for novelty, filtering out low-agreement topics and inaccessible tweets, and providing multiple subsets of the collection for better availability. Applying our methodology on Arabic tweets resulted in EveTAR, the first freely-available tweet test collection for multiple IR tasks. EveTAR includes a crawl of 355M Arabic tweets and covers 50 significant events for which about 62K tweets were judged with substantial average inter-annotator agreement (Kappa value of 0.71). We demonstrate the usability of EveTAR by evaluating existing algorithms in the respective tasks. Results indicate that the new collection can support reliable ranking of IR systems that is comparable to similar TREC collections, while providing strong baseline results for future studies over Arabic tweets. 相似文献
17.
This study investigates how nonprofit organizations use hyperlinks embedded in tweets for strategic communication during global health crises. Within the 1,494 links included in tweets about Ebola, organizations shared owned and earned media, including news stories directly or indirectly referencing their work and positive mentions from others on social media. Links allowed organizations to raise awareness about Ebola in West Africa, promote their work, and highlight endorsements from news media and influential users. Raising awareness and building trust are key steps in becoming credible sources during highly uncertain crises. 相似文献
18.
The public libraries in the Carolinas engaged with their communities using Twitter throughout the phases of Hurricane Florence in 2018. A total of 161 libraries in Carolinas were examined. The framework of crisis informatics, content analysis, and network analysis were applied to 738 Twitter posts from 17 libraries, which had Twitter presence, to understand interaction details between the libraries and communities that they serve. Findings include that the libraries shared a mixture of both disaster- and non-disaster-related information via their Twitter pages. The disaster-related tweets were mostly shared in the During (291 out of 349) and After (56 out of 349) phases. The number of general library-related tweets in the During phase dropped drastically compared to those in the Before or After phases. The libraries were also retweeting disaster-related tweets from various governmental agencies and NGOs to the community members in their social network. These findings indicate that the libraries switched their roles from a general services institution to an emergency information hub as the threat from the hurricane began affecting the communities. The knowledge gained from our study could be used to improve community resilience by further illuminating the role of public libraries as public infrastructures that host and facilitate the development of social capital during and after disaster events by becoming information and communication hubs. 相似文献
19.
[目的/意义] 新型冠状病毒肺炎（COVID-19）暴发流行后,大量信息和舆论铺天盖地而来。准确把握疫情暴发期公众的信息获取行为及特征,分析探索错失焦虑的形成与影响因素,对于重大突发公共卫生事件的应急管理与科学决策具有重要价值。[方法/过程] 基于使用与满足理论、认知心理学等梳理分析错失焦虑、信息获取行为、无聊倾向及情绪之间的关系,构建研究模型。通过问卷调查法采集957份样本数据,利用偏最小二乘法检验模型,结合访谈对结果进行讨论分析。[结果/结论] 重大突发公共卫生事件暴发期,移动新媒体是信息获取的主要渠道,接收推送分享与主动搜寻行为均衡,信息阅读观看的日均耗费时间较长,呈现高频次短时间隔获取特征。疫情关注度显著正向影响错失焦虑与信息获取行为;无聊倾向与错失焦虑之间呈现显著正相关关系。错失焦虑是信息获取的动机性因素,具有显著正向影响作用;错失焦虑较高的个体更容易感染负面情绪;信息获取行为与负面情绪之间有显著正相关关系。 相似文献