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1.
《Journal of Informetrics》2022,16(1):101249
Duplicate tweeting is a kind of behavior that a user posts the same or substantially similar original tweets to one or several topics multiple times in a row, which is commonly used to boost social media exposure to online information. However, how this behavior boosts social media exposure to online information, especially to scientific publications, is still unclear. In this study, we use the number of retweets an article received as a proxy for social media exposure to the article. Based on the duplicate tweeting records of 12,263 users on Twitter from 2011 to 2017, we find that social media exposure to scholarly articles has a significant marginal effect as the number of duplicate tweeting (k) increases. It ramps up a peak value when k is between 2 and 4 and goes down when k takes a greater value. We also find that a longer posting interval can sharply reduce social media exposure to scholarly articles, and posting non-duplicate content can significantly improve the exposure. Our findings not only help scientists and journal publishers effectively improve the social impact of their research outputs but also advance the understanding of the diffusion processes of scholarly articles. 相似文献
2.
《Journal of Informetrics》2022,16(3):101309
Power Laws are a characteristic distribution found in both natural as well as in man-made systems. Previous studies have shown that citations to scientific articles follow a power law, i.e., the number of papers having a certain level of citation x are proportional to x raised to some negative power. However, the distributional character of altmetrics (such as reads, likes, mentions, etc.) has not been studied in much detail, particularly with respect to existence of power law behaviours. This article, therefore, attempts to do an empirical analysis of altmetric mention data of a large set of scholarly articles to see if they exhibit power law. The individual and the composite data series of ‘mentions’ on the various platforms are fit to a power law distribution, and the parameters and goodness of fit are determined, both using least squares regression as well as the Maximum Likelihood Estimate (MLE) approach. We also explore the fit of the mention data to other distribution families like the Log-normal and exponential distributions. Results obtained confirm the existence of power law behaviour in social media mentions to scholarly articles. The Log-normal distribution also looks plausible but is not found to be statistically significant, and the exponential distribution does not show a good fit. Major implications of power law in altmetrics are given and interesting research questions are posed in pursuit of enhancing the reliability of altmetrics for research evaluation purposes. 相似文献
3.
《Government Information Quarterly》2022,39(2):101682
Public agencies need to distribute information to their manifold audience quickly and directly. The emergence of social media platforms has sparked positive projections about future government-public interactions via the internet and almost every EU agency has created social media presences on the leading social media platforms. However, social media accounts of agencies receive strongly varying amounts of public attention and therefore display varying degrees of usefulness to connect with the public. This research examines which factors influence how much long-standing and temporal attention social media accounts of EU agencies receive. Using an extensive Twitter dataset of EU agencies and a new methodology that employs supervised text classification through the novel BERT language model to classify agency tweets, possible explanations of social media attention are tested. Results show that long-standing social media attention (i.e., size of the followership) is mostly explained by salience in traditional news, account age, and tweeting frequency, whilst a more interactive communication style tends to yield more temporal attention (i.e., number of retweets). The findings underline previous assumptions that employing a more interactive communication style maximizes public organizations' potential to connect with their audiences on social media. 相似文献
4.
Amrollah Shamsi Brady Daniel Lund Shohreh SeyyedHosseini 《Journal of the Medical Library Association》2022,110(1):97
Objective:This study examines the extent to which retracted articles pertaining to COVID-19 have been shared via social and mass media based on altmetric scores.Methods:Seventy-one retracted articles related to COVID-19 were identified from relevant databases, of which thirty-nine had an Altmetric Attention Score obtained using the Altmetrics Bookmarklet. Data extracted from the articles include overall attention score and demographics of sharers (e.g., geographic location, professional affiliation).Results:Retracted articles related to COVID-19 were shared tens of thousands of times to an audience of potentially hundreds of millions of readers and followers. Twitter was the largest medium for sharing these articles, and the United States was the country with the most sharers. While general members of the public were the largest proportion of sharers, researchers and professionals were not immune to sharing these articles on social media and on websites, blogs, or news media.Conclusions:These findings have potential implications for better understanding the spread of misleading or false information perpetuated in retracted scholarly publications. They emphasize the importance of quality peer review and research ethics among journals and responsibility among individuals who wish to share research findings. 相似文献
5.
Tara J. Brigham 《Medical reference services quarterly》2013,32(4):438-447
Altmetrics, or alternative metrics, are forging a new way to capture the impact of not only articles, but also scholarly or research “products” by tracking them when they are mentioned online, such as in blogs or social media platforms. While altmetrics have a lot of potential, there are also some limitations preventing their full acceptance alongside traditional citation metrics. This column will explain the basics of altmetrics and altmetric tools, discuss some of the ways they can be used in libraries, and explore some possible concerns with this new metric. A list of resources for additional information is also included. 相似文献
6.
《Journalism Practice》2013,7(4):383-398
In this paper, we examine the inverse and converging movement of two sets of institutions: news organizations, as they find that part of their mission necessarily includes hosting an unruly user community that does not always play by the norms of journalism; and online media platforms and social networks designed for users to share content, as they find that the content being shared is often much like news, some of which challenges their established user guidelines. We draw on in-depth interviews to understand how each industry is finding itself increasingly on the other's turf and facing the challenges and tensions the other has long coped with, but from its own distinct vantage point. From this we explore the ways in which the roles of news provision and community management are increasingly intermingled—in ways that will continue to have an impact on both news organizations and social media platforms, along with their audiences and users. 相似文献
7.
《Journal of Informetrics》2014,8(4):895-903
Today, it is not clear how the impact of research on other areas of society than science should be measured. While peer review and bibliometrics have become standard methods for measuring the impact of research in science, there is not yet an accepted framework within which to measure societal impact. Alternative metrics (called altmetrics to distinguish them from bibliometrics) are considered an interesting option for assessing the societal impact of research, as they offer new ways to measure (public) engagement with research output. Altmetrics is a term to describe web-based metrics for the impact of publications and other scholarly material by using data from social media platforms (e.g. Twitter or Mendeley). This overview of studies explores the potential of altmetrics for measuring societal impact. It deals with the definition and classification of altmetrics. Furthermore, their benefits and disadvantages for measuring impact are discussed. 相似文献
8.
David Nicholas Anthony Watkinson Cherifa Boukacem‐Zeghmouri Blanca Rodríguez‐Bravo Jie Xu Abdullah Abrizah Marzena Świgoń Eti Herman 《Learned Publishing》2017,30(2):157-166
Early career researchers (ECRs) are of great interest because they are the new (and biggest) wave of researchers. They merit long and detailed investigation, and towards this end, this overarching paper provides a summary of the first‐year findings of a 3‐year, longitudinal study of 116 science and social science ECRs who have published nearly 1,200 papers and come from 7 countries and 81 universities. ECRs were interviewed in their own languages face‐to‐face, by Skype, or telephone. The study focused on the attitudes and behaviours of ECRs with respect to scholarly communications and the extent to which they are adopting new and disruptive technologies, such as social media, online communities, and Open Science. The main findings include: publishing in high‐impact factor journals is the only reputational game in town; online scholarly communities, and ResearchGate in particular, are gaining ground; social media are beginning to have an impact, especially in the dissemination arena; outreach activities have become more important; libraries are becoming increasingly invisible to ECRs; Open Science is not gaining traction; and more transformational ideas are being expressed, especially in the US and UK. 相似文献
9.
[目的/意义]通过搜集和分析国内外社交媒体网络谣言的相关文献,以期了解社交媒体环境下网络谣言国内外的研究进展及未来的研究趋势,为网络谣言治理和学术研究提供一定的指导。[方法/过程]本文运用文献分析和知识图谱可视化分析方法,对国内外网络谣言研究的起源和发展、国内外研究热点及未来研究趋势进行对比和可视化分析。[结果/结论]从研究发展趋势看,国内外相关研究成果的数量呈递增态势,国外研究主要围绕网络谣言的传播、社交媒体网络谣言的监测、社交媒体网络谣言的传播原因进行研究;国内研究主要围绕社交媒体网络谣言的传播模型、社交媒体突发事件网络谣言、不同类型社交媒体平台的网络谣言三个方面;从研究趋势看,未来研究会主要围绕区块链技术在社交媒体网络谣言中的治理、机器学习技术在社交媒体网络谣言中应用、老年群体社交媒体网络谣言治理等。 相似文献
10.
《Government Information Quarterly》2020,37(3):101486
This paper empirically investigates the association of quality information provided by a government agency on social media and citizen’s online political participation. It further answers the why and how questions regarding the existence of this relationship by examining the mediating influence of transparency, trust, and responsiveness. The data was collected from 388 followers of the social media platforms of a government agency i.e. Punjab Food Authority and the findings of the analysis were obtained using structural equation modeling technique. The results reveal that the agency’s provision of quality information on social media was significantly related to perceived transparency, trust in agency, perceived responsiveness, and citizens’ online political participation. Moreover, the results show that perceived transparency mediates the relationship between agency’s provision of quality information on social media and citizens’ trust in agency. Additionally, trust in agency was an insignificant predictor and perceived responsiveness was a negative predictor of citizens online political participation, Also, trust in agency and perceived responsiveness suppressed the relationship between agency’s provision of quality information on social media and citizens’ online political participation. This study aims to bring awareness and contribution to the body of knowledge about the governmental use of social media and its resulting benefits since in developing countries like Pakistan the research in this area is sparse. Further, it provides strategic and practical suggestions to agencies regarding advantages of utilizing social media in their communication with citizens. 相似文献
11.
The promotion of scholarly journal articles to journalists and bloggers via the dissemination of press releases generates a positive impact on the number of citations that publicized journal articles receive. Research by John Wiley & Sons, Inc. shows that article‐level publicity efforts and media coverage boosts downloads by an average of 1.8 times and were found to increase citations by as much as 2.0–2.2 times in the articles analyzed in this study. We evaluated scholarly journal articles published in nearly 100 Wiley journals, which were also covered in 296 press releases. The results in this case study suggest a need for greater investment in media support for scholarly journals publishing research that sparks interest to a broad news audience, as it could increase citations. 相似文献
12.
"新媒体使用"经常作为与"传统媒体使用"相对立的概念获得学界的关注。然而,随着技术的快速发展,媒体家族的迅速壮大,"新媒体使用"在量化研究中的内涵外延也日渐模糊。对此,本文提出了一个元测试(meta-instrument)问题--在用户使用行为和媒介效果两方面,新媒体和传统媒体是否清晰可分?基于对二手数据的分析,本文发现不同的网络信息渠道/平台在使用频率上呈现异质性,在媒介效果上也难以作为同质化的"新媒体"或"网络媒体"一概而论。同时,门户网站在用户使用频率和使用效果上,更接近于传统媒体(如中央电视台、新华社和人民日报),而非社交媒体(如微博、微信等)。本文的研究发现为新媒体使用及其效果研究提供了新的思路,为新媒体理论的发展提供了新的经验资料。 相似文献
13.
《Journal of Informetrics》2020,14(4):101077
Because humans have limited resources and capacities to digest and comprehend the unprecedented amount of information bombarding today’s world, human attention is a scarce resource and the problem of information overload is becoming increasingly serious. In this study we aim to contribute to an understanding of how humans make decisions about the value of complex sources of information, specifically in the context of online scholarly platforms, online news, and social media. We thus use almost 5000 research-based VoxEU texts, together with the corresponding authors’ characteristics, to test whether, as an evolutionary approach would suggest, author success, skills, and prestige serve as strong cues in readers’ attentional decisions, by analyzing reading, sharing, and searching behaviors. In addition to finding strong support for this assumption, we also show that readers respond to such visual cues as article title, number of words in the abstract, and/or text content, with a clear favoring of figures over tables. 相似文献
14.
David Nicholas Hamid R. Jamali Eti Herman Anthony Watkinson Abdullah Abrizah Blanca Rodríguez‐Bravo Cherifa Boukacem‐Zeghmouri Jie Xu Marzena
wigo&#x; Tatiana Polezhaeva 《Learned Publishing》2020,33(3):198-211
This article describes an international study informed by a 3‐year‐long qualitative longitudinal project, which sought to discover the scholarly communication attitudes and behaviour of early career researchers (ECRs). Using a combination of small‐scale interviews and a larger‐scale survey, ECRs were questioned on their searching and reading behaviour, publishing practices, open data, and their use of social media. Questionnaire invitations were sent out via publisher lists, social media networks, university research networks, and specialist ECR membership organizations. One‐thousand and six‐hundred responses were received, with many coming from China, Russia, and Poland. Results showed that ECRs are adopting millennial‐facing tools/platforms, with Google, Google Scholar, social media, and smartphones becoming embedded in their scholarly activities. Open data sharing obtains widespread support but somewhat less practice. There are some differences in attitudes and behaviour according to age and subject specialism. 相似文献
15.
A growing body of research examines the relationships between psychological traits and privacy behaviors on Social Networking Sites (SNSs) to understand why users control information about themselves. This study investigates how narcissism and self-esteem can explain tendencies to control privacy on two widely used platforms: Instagram and Twitter. Data from an online survey (n = 510) are analyzed using linear mixed models. The exhibitionism component of narcissism tends to be associated with less privacy control on SNSs, i.e., profiles that are publicly accessible. Conversely, the superiority component of narcissism and self-esteem are associated with more privacy control. Across platforms, as self-esteem increases, the likelihood of having public settings on Instagram is significantly lower than on Twitter. The findings are discussed in the context of the different affordances that the two platforms present users with. The results indicate that privacy behaviors may be tied to relatively stable personality traits, suggesting that even as technologies and social norms with regard to privacy change, behaviors that limit the number of people to which individuals disclose personal information may remain the same. 相似文献
16.
The Web impact of open access social science research 总被引：1，自引：0，他引：1
For a long time, Institute for Scientific Information (ISI) journal citations have been widely used for research performance monitoring of the sciences. For the social sciences, however, the Social Sciences Citation Index® (SSCI®) can sometimes be insufficient. Broader types of publications (e.g., books and non-ISI journals) and informal scholarly indicators may also be needed. This article investigates whether the Web can help to fill this gap. The authors analyzed 1530 citations from Google™ to 492 research articles from 44 open access social science journals. The articles were published in 2001 in the fields of education, psychology, sociology, and economics. About 19% of the Web citations represented formal impact equivalent to journal citations, and 11% were more informal indicators of impact. The average was about 3 formal and 2 informal impact citations per article. Although the proportions of formal and informal online impact were similar in sociology, psychology, and education, economics showed six times more formal impact than informal impact. The results suggest that new types of citation information and informal scholarly indictors could be extracted from the Web for the social sciences. Since these form only a small proportion of the Web citations, however, Web citation counts should first be processed to remove irrelevant citations. This can be a time-consuming process unless automated. 相似文献
17.
Engaging the Social News User 总被引：1，自引：0，他引：1
Sanne Hille 《Journalism Practice》2014,8(5):563-572
One of the most common formats of audience participation in journalism consists of online reader comments in response to articles, weblogs, or online television and radio broadcasts. While initially the audience only commented on media platforms themselves, Facebook made it possible to outsource commenting to a third-party platform. The options users have, the rules commenters are obliged to follow, and the moderation regime they confront, could influence the quantity and quality of comments. In this study, we explore how news media deal with audience comments on Facebook and their own news site, and how this influences the quality and quantity of comments. We compared comments on news platforms and Facebook of 62 Dutch national and regional newspapers, public and commercial broadcasters, newsweeklies, national news programmes, and online news sites. Subsequently, we analysed the content of the comments with the qualitative text analysis tool MAXQDA. The results indicate that news media prefer outsourcing comments to Facebook although commenting on their own platforms is still possible. By discouraging anonymous responses, the quality of comments improved but above all the quantity of comments decreased after outsourcing comments to Facebook. 相似文献
18.
Online display advertising is a multi-billion dollar industry where advertisers promote their products to users by having publishers display their advertisements on popular Web pages. An important problem in online advertising is how to forecast the number of user visits for a Web page during a particular period of time. Prior research addressed the problem by using traditional time-series forecasting techniques on historical data of user visits; (e.g., via a single regression model built for forecasting based on historical data for all Web pages) and did not fully explore the fact that different types of Web pages and different time stamps have different patterns of user visits. In this paper, we propose a series of probabilistic latent class models to automatically learn the underlying user visit patterns among multiple Web pages and multiple time stamps. The last (and the most effective) proposed model identifies latent groups/classes of (i) Web pages and (ii) time stamps with similar user visit patterns, and learns a specialized forecast model for each latent Web page and time stamp class. Compared with a single regression model as well as several other baselines, the proposed latent class model approach has the capability of differentiating the importance of different types of information across different classes of Web pages and time stamps, and therefore has much better modeling flexibility. An extensive set of experiments along with detailed analysis carried out on real-world data from Yahoo! demonstrates the advantage of the proposed latent class models in forecasting online user visits in online display advertising. 相似文献
19.
Objective
The objective of this literature review was to summarise current research regarding how consumers seek health‐related information from social media. Primarily, we hope to reveal characteristics of existing studies investigating the health topics that consumers have discussed in social media, ascertaining the roles social media have played in consumers’ information‐seeking processes and discussing the potential benefits and concerns of accessing consumer health information in social media.Methods
The Web of Science Core Collection database was searched for existing literature on consumer health information seeking in social media. The search returned 214 articles, of which 21 met the eligibility criteria following review of full‐text documents.Conclusion
Between 2011 and 2016, twenty‐one studies published explored various topics related to consumer information seeking in social media. These ranged from online discussions on specific diseases (e.g. diabetes) to public health concerns (e.g. pesticide residues). Consumers’ information needs vary depending on the health issues of interest. Benefits of health seeking on social media, in addition to filling a need for health information, include the social and emotional support health consumers gain from peer‐to‐peer interactions. These benefits, however, are tempered by concerns of information quality and authority and lead to decreased consumer engagement. 相似文献20.
社交媒体在全球社会运动与政治变革中发挥的作用已引起高度关注,不过其具体的影响机制仍不明确且充满争议。本文利用TCS2015年的数据,使用Logistic回归模型对社交媒体接触(自变量)与线上、线下社会运动参与(因变量)之间的关系进行实证分析,并引入"政治自我概念"中的一系列心理变量(政治知识、政治兴趣、内在政治效能感、外在政治效能感)对个体性差异进行检验。研究发现,社交媒体展现出显著的、不可被抵消的动员效应。政治知识不会单独对社会运动参与程度产生影响,但可以与社交媒体产生交互效应,放大其对运动参与的正向效应。内在政治效能感既会对社会运动参与产生正向影响,又能强化社交媒体的动员效应。线上、线下两种运动模式的作用机制大致类似,但存在微妙的差异。上述结果部分支持了研究假设,反映出社会运动往往是个体心理与新媒介工具共同作用的结果。这些结论放置于台湾社会的现实政治语境中,可以带来思考与启发。 相似文献