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相关论文: Tweets as impact indicators: Examining the implica…

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Twitter bots are a controversial element of the platform, and their negative impact is well known. In the field of scientific communication, they have been perceived in a more positive light, and the accounts that serve as feeds alerting…

数字图书馆 · 计算机科学 2023-10-20 Wenceslao Arroyo-Machado , Enrique Herrera-Viedma , Daniel Torres-Salinas

In the context of altmetrics, tweets have been discussed as potential indicators of immediate and broader societal impact of scientific documents. However, it is not yet clear to what extent Twitter captures actual research impact. A small…

数字图书馆 · 计算机科学 2015-07-09 Natalie Friedrich , Timothy D. Bowman , Wolfgang G. Stock , Stefanie Haustein

With the remarkable capability to reach the public instantly, social media has become integral in sharing scholarly articles to measure public response. Since spamming by bots on social media can steer the conversation and present a false…

社会与信息网络 · 计算机科学 2024-10-04 Ashiqur Rahman , Ehsan Mohammadi , Hamed Alhoori

Social media metrics - commonly coined as "altmetrics" - have been heralded as great democratizers of science, providing broader and timelier indicators of impact than citations. These metrics come from a range of sources, including…

数字图书馆 · 计算机科学 2015-05-05 Stefanie Haustein , Cassidy R. Sugimoto , Vincent Larivière

Metrics derived from Twitter and other social media---often referred to as altmetrics---are increasingly used to estimate the broader social impacts of scholarship. Such efforts, however, may produce highly misleading results, as the…

数字图书馆 · 计算机科学 2017-04-17 Qing Ke , Yong-Yeol Ahn , Cassidy R. Sugimoto

Twitter has arguably been the most popular among the data sources that form the basis of so-called altmetrics. Tweets to scholarly documents have been heralded as both early indicators of citations as well as measures of societal impact.…

社会与信息网络 · 计算机科学 2018-06-27 Stefanie Haustein

Measuring research impact is important for ranking publications in academic search engines and for research evaluation. Social media metrics or altmetrics measure the impact of scientific work based on social media activity. Altmetrics are…

社会与信息网络 · 计算机科学 2018-04-10 Maryam Mehrazar , Christoph Carl Kling , Steffen Lemke , Athanasios Mazarakis , Isabella Peters

Many altmetric studies analyze which papers were mentioned how often in specific altmetrics sources. In order to study the potential policy relevance of tweets from another perspective, we investigate which tweets were cited in papers. If…

数字图书馆 · 计算机科学 2020-03-26 Robin Haunschild , Lutz Bornmann

In recent years, social bots have been using increasingly more sophisticated, challenging detection strategies. While many approaches and features have been proposed, social bots evade detection and interact much like humans making it…

社会与信息网络 · 计算机科学 2018-12-20 Isa Inuwa-Dutse , Bello Shehu Bello , Ioannis Korkontzelos

Bots, simply defined as accounts controlled by automation, can be used as a weapon for online manipulation and pose a threat to the health of platforms. Researchers have studied online platforms to detect, estimate, and characterize bot…

社会与信息网络 · 计算机科学 2022-11-08 Onur Varol

Data collected by social media platforms have recently been introduced as a new source for indicators to help measure the impact of scholarly research in ways that are complementary to traditional citation-based indicators. Data generated…

数字图书馆 · 计算机科学 2013-08-09 Stefanie Haustein , Isabella Peters , Cassidy R. Sugimoto , Mike Thelwall , Vincent Larivière

In this paper we review the socalled altmetrics or alternative metrics. This concept raises from the development of new indicators based on Web 2.0, for the evaluation of the research and academic activity. The basic assumption is that…

数字图书馆 · 计算机科学 2013-06-28 Daniel Torres-Salinas , Alvaro Cabezas-Clavijo , Evaristo Jimenez-Contreras

The idea that social media platforms like Twitter are inhabited by vast numbers of social bots has become widely accepted in recent years. Social bots are assumed to be automated social media accounts operated by malicious actors with the…

社会与信息网络 · 计算机科学 2022-07-26 Florian Gallwitz , Michael Kreil

Increasing evidence suggests that a growing amount of social media content is generated by autonomous entities known as social bots. In this work we present a framework to detect such entities on Twitter. We leverage more than a thousand…

社会与信息网络 · 计算机科学 2017-03-28 Onur Varol , Emilio Ferrara , Clayton A. Davis , Filippo Menczer , Alessandro Flammini

Twitter, a popular social media outlet, has evolved into a vast source of linguistic data, rich with opinion, sentiment, and discussion. Due to the increasing popularity of Twitter, its perceived potential for exerting social influence has…

Twitter accounts have already been used in many scientometric studies, but the meaningfulness of the data for societal impact measurements in research evaluation has been questioned. Earlier research focused on social media counts and…

数字图书馆 · 计算机科学 2019-04-16 Robin Haunschild , Loet Leydesdorff , Lutz Bornmann , Iina Hellsten , Werner Marx

The last decade of altmetrics research has demonstrated that altmetrics have a low to moderate correlation with citations, depending on the platform and the discipline, among other factors. Most past studies used academic works as their…

社会与信息网络 · 计算机科学 2023-06-30 Madelaine Hare , Geoff Krause , Keith MacKnight , Timothy D. Bowman , Rodrigo Costas , Philippe Mongeon

In growing numbers, scholars are integrating social media tools like blogs, Twitter, and Mendeley into their professional communications. The online, public nature of these tools exposes and reifies scholarly processes once hidden and…

数字图书馆 · 计算机科学 2012-03-22 Jason Priem , Heather A. Piwowar , Bradley M. Hemminger

Purpose: This paper explores some influencing factors of Twitter mentions of scientific research. The results can help to understand the relationships between various altmetrics. Design/methodology/approach: Data on research mentions in…

数字图书馆 · 计算机科学 2022-12-13 Pablo Dorta-González

This paper analyzes the tweeting behavior of 37 astrophysicists on Twitter and compares their tweeting behavior with their publication behavior and citation impact to show whether they tweet research-related topics or not. Astrophysicists…

数字图书馆 · 计算机科学 2014-10-08 Stefanie Haustein , Timothy D. Bowman , Kim Holmberg , Isabella Peters , Vincent Larivière
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