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1.
《Journal of Informetrics》2022,16(1):101223
Focusing on the dataset dissemination structure on Twitter, this study aims to investigate how users of two different identities, scholars and the public, participate in the dissemination process. We collected 2464 datasets from Altmetric.com and used social network analysis to plot the graphs. From a macroscopic viewpoint, most datasets were diffused by viral dissemination (structure II) and mixed dissemination (structure III), and the diffusion level was fundamentally one or two levels. Based on the topics clustering results of the datasets, the majority were about open access, research data, and Altmetrics, as well as astronomy, biology, medicine, and environmental engineering. The dataset dissemination structure shared a little relationship with the research topic. From the microscopic viewpoint of parent nodes and child nodes, during the dataset dissemination, there were only marginally more Twitter users with scholar status than non-scholar ones, suggesting that compared with traditional academic accomplishments such as journal papers. However, the dataset seems to be more professional and targeted; significant audience beyond academics are also involved. During disseminating datasets on Twitter, most tended to be diffused among users of the same identity. However, a few non-scholars played crucial roles, such as super users and intermediaries. Overall, a considerable part of tweets and tweets of parent nodes with the ability to spread is primarily the tweets commented simultaneously forwarded (type II) are posted at the same time commented. Hence, this study underlines the significance of research data-sharing and social media's role in public participation in science. 相似文献
2.
《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
3.
Christian Nuernbergk 《Journalism Practice》2016,10(7):868-879
This article examines with whom political journalists interact on Twitter and what information they share. These relations are explored by combining a content analysis and a network analysis of interaction patterns. The activities published on journalists’ personal accounts are studied. Prior research has shown that elite journalists, in particular, mainly seek to remain gatekeepers and tend to normalize emerging communication spaces. Only one-quarter of the parliamentary correspondents in the German Federal Press Conference had an individual Twitter profile as of February 2014. The content analysis of all tweets published during a week in March 2014 (N?=?2210) reveals that German political journalists clearly normalize Twitter to fit existing practices: the journalists mostly tweeted about publicly relevant communication and reported in an information-oriented style. Transparency was limited on their topics of interest, and they did not provide direct opportunities for the audience to become more active in the news-creation process. The network analysis shows that the correspondents especially incorporated politicians into their regular circle of contacts. Nevertheless, the interaction networks were clearly dominated by exchanges between journalists. In this way, journalists’ tweets allow us to observe expert talks rather than encouraging users to participate in a discussion. 相似文献
4.
《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
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.
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
7.
《Government Information Quarterly》2022,39(3):101709
Experts claim that the world is increasingly polarized by emerging social media platforms. The political actors amplify the polarization through their agents' user-generated content. The extreme political ideologies sway the people sitting on the fence on these social media platforms. Using tweets on a recent policy change on identity in India, the present study seeks to perform a scientific analysis of the polarization of the debates within ordinary citizens' groups from a theoretical lens. We further highlight some of the crucial trends that triggered these polarized discussions in general. Through the lens of Echo chambers and Herd behavior, this study provides valuable insights surrounding the influencers and individuals involved in this discussion where the polarization of preferences is witnessed. Proposing a novel design of a root-level influencer, this study establishes them as polarization actors on a social media platform (Twitter). Through various engagement metrics, we also identify the role of targeted communication (hashtags) and similarity in the users' discussion across the political domain as potential behavioral explanations for opinion polarization on Twitter. 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.
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
10.
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. 相似文献
11.
This study is a social media analysis on the use of Twitter at Historically Black Colleges and University (HBCU) libraries. While information science researchers have begun examining how libraries use social media, the vast majority of these studies are situated at large flagship research-intensive universities. Additionally, there currently exist deficiencies in research on social media deployment at HBCU libraries. We leverage, the IBM Watson's analytic engine, to systemically examine over 23,000, tweets over an eighteen-month period, around a set of objective measures including propagation of retweets and sentiment to assess follower engagement. The analysis found little evidence of follower engagement with library generated content. However, we observed a substantial volume of library tweets coalesced around institutional boosterism, rather than library related phenomena. This non-library related content represented the vast majority of retweets, but paradoxically was propagated by non-followers. Additionally, tweets relating to institutional boosterism produced the most positive sentiment within the data. 相似文献
12.
13.
王铮 《自然科学博物馆研究》2021,(3):50-57
本文以传播学理论为基础,根据Twitter的社交媒体性质和自然科学类博物馆特性选择维度和指标,构建自然科学博物馆Twitter传播力评价指标体系,采用熵值法确定指标权重,并选取国外14家自然科学博物馆的Twitter账号进行实证研究,计算各博物馆Twitter传播力。根据结果,总结提炼经验,对国内自然科学博物馆提升社交媒体传播力提出相应的策略。 相似文献
14.
Kaitlin C. Bane 《Journalism Practice》2019,13(2):191-205
It is becoming exceedingly important for scholars to study and understand how Twitter is influencing news reporting. Using quantitative content analysis, this paper examines the use of tweets as quotes in alternative web-only news organizations compared to traditional print organizations. This study uses a quantitative content analysis of more than 1000 quoted tweets and more than 3000 news articles from The New York Times, The Washington Post, Buzzfeed News, and The Huffington Post. Findings suggest that while print news publications most often use Twitter to quote official sources and for opinion comments, alternative web-only news publications use the medium differently. Additionally, alternative web-only news publications quote Twitter in a higher proportion of articles. 相似文献
15.
ABSTRACTThe 2017 Equifax data breach left 144.5 million users digitally vulnerable to identity theft and future hacks. The organization’s failure to provide ongoing communication and information regarding the attack, motivated users to form crisis communities within the Twitter platform. This study examines the discourses present within the platform as users discussed the data breach. Digital crisis communities provide researchers opportunities to study how public users respond and react to a digital threat, particularly one that impacts online security and privacy. Through a qualitative analysis of tweets from the 3 weeks after the breach was announced, three discourses emerged that represented user frustrations and reactions to the security violation. These include breaking news, anger and outrage, and blame attribution. The findings of this study are relevant for those studying crisis communication, the Twitter platform, and online communities. 相似文献
16.
The media are normatively expected to play significant roles in conflictual discussions within national and international communities. As previous research shows, digital platforms make scholars rethink these roles based on media behavior in online communicative environments as well as on the structural limitations of the platforms. At the same time, traditional dichotomies between information dissemination and opinion formation roles, although seemingly universal, also vary across cultures. We look at four recent conflicts of comparable nature in the United States, Germany, France, and Russia to assess the roles that legacy media have performed in the respective ad hoc discussions on Twitter. Our approach differs from previous studies, as we combine content analysis of tweets by the media and journalists with the resulting positions of the media in the discussion graphs. Our findings show that, despite the overall trend of the “elite” and regional media sticking to information dissemination, online-only media and individual journalists vary greatly in their normative strategies, and this is true across countries. We also show that combining performance in content and social network analysis may allow for reconceptualization of media roles in a more flexible way. 相似文献
17.
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
18.
The changing role of non‐English papers in scholarly communication: Evidence from Web of Science's three journal citation indexes 
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下载免费PDF全文 Weishu Liu 《Learned Publishing》2017,30(2):115-123
Non‐English languages are widely used, but their roles in scholarly communication are relatively under‐explored. By using Web of Science's Science Citation Index Expanded (SCIE, 1900–2015), Social Sciences Citation Index (SSCI, 1900–2015), and Arts and Humanities Citation Index (A&HCI, 1975–2015), this study probes the patterns and dynamics of non‐English papers by year, citation index, and discipline using bibliometric analysis. The analyses show that English is increasingly being used as the dominating language from natural sciences and social sciences to arts and humanities. Around 97% of the papers in SCIE, 95% of the papers in SSCI, and 73% of the papers in A&HCI during the past decade were in English. However, other languages such as German and French were also used as important academic languages in sciences and social sciences during the first half of the 20th century, 1970s, and 1980s. Unlike natural science and social science disciplines, non‐English papers have consistently played important role in arts and humanities disciplines from the beginning of 1975. Although the shares of non‐English papers in SCIE and SSCI databases have been limited during the past decade, a large number of non‐English papers can be found in some applied disciplines of sciences and social sciences. 相似文献
19.
基于学术论文的科学交流过程,本文将学术论文影响力划分为原生影响力、线下影响力、Web 1.0影响力和Web 2.0影响力,并讨论了各类型影响力的产生过程。在此基础上,构建出学术论文影响力评价模型,并对中国社会科学国际学术论文的两组数据(包含1个对照组)进行实证研究。研究发现:(1)学术论文影响力得分与来源期刊相对影响因子及被引频次相关度最高;(2)中国研究机构学者同时作为第一作者和通信作者的学术论文(数据组1)影响力得分在整体水平上与对照组相比还有差距,且两组数据的学术论文影响力得分趋势线都呈右偏态势;(3)学术论文影响力总得分最高的50个研究机构的影响力得分按指数趋势递减,高校是中国社会科学国际研究的中坚力量;(4)在两个数据组共同覆盖的79个学科领域中,数据组1只在24个学科的平均得分大于对照组,并对学术论文覆盖的学科领域按影响力相对大小进行了分类。 相似文献
20.
Twitter altmetrics has been proposed to measure the popularity and the potential societal impact of scientific products, but scientific tweeters who produce the Twitter altmetrics data have not been well explored. The study, by analyzing 2.63 million scientific tweeters’ data that are extracted from the Altmetric.com company dataset, is aimed to reveal their productivity and geographic distribution in a comprehensive way. To gain a more in-depth understanding of their account types and identities, 1468 scientific tweeters of different levels of activeness are sampled for further analysis. Our results show that: (1) The extent to which a small proportion of tweeters have posted most of scientific tweets increases over time. In 2016, 10% of scientific tweeters have posted 80% of scientific tweets; (2) Scientific tweeters are widely distributed around the world but in a different pattern with the distribution of general Twitter users. In addition, scientific tweeters are found to be more active in tweeting scientific products than retweeting them in certain areas. (3) Manual coding of the sampled tweeters shows that the percentage of bot accounts among scientific tweeters is 1.8%, which is much lower than that among general Twitter users. Moreover, 73% of scientific tweeters use Twitter for professional purpose, 76% use real names for their accounts, and 16% are institutional accounts. (4) Identities of scientific tweeters are diversified. 49% of them are researchers among which university faculty is the major type, and 38% of them are the general public. With these results we suggest number of scientific tweets is not a good indicator of measuring either popularity or impact, tweeter’s productivity, location and identities must be taken into consideration in interpreting the meaning of Twitter altmetrics. 相似文献