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Found 4738 results for '"Twitter"', showing 1-10
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  1. Lutz Bornmann & Robin Haunschild (2016): How to normalize Twitter counts? A first attempt based on journals in the Twitter Index
    An important source of altmetrics is Twitter, which is a popular microblogging service. ... This study deals with the normalization of Twitter counts (TC). The problem with Twitter data is that many papers receive zero tweets or only one tweet. In order to restrict the impact analysis on only those journals producing a considerable Twitter impact, we defined the Twitter Index (TI) containing journals with at least 80 % of the papers with at least 1 tweet each. For all papers in each TI journal, we calculated normalized Twitter percentiles (TP) which range from 0 (no impact) to 100 (highest impact).
    RePEc:spr:scient:v:107:y:2016:i:3:d:10.1007_s11192-016-1893-6  Save to MyIDEAS
  2. Ho Fai Chan & Ali Sina Önder & Sascha Schweitzer & Benno Torgler (2023): Twitter and Citations
    Social media, especially Twitter, plays an increasingly important role among researchers in showcasing and promoting their research. Does Twitter affect academic citations? Making use of Twitter activity about columns published on VoxEU, a renowned online platform for economists, we develop an instrumental variable strategy to show that Twitter activity about a research paper has a causal effect on the number of citations that this paper will receive. ... Doubling the overall Twitter engagement generates up to 16% more citations.
    RePEc:pbs:ecofin:2023-04  Save to MyIDEAS
  3. Chan, Ho Fai & Önder, Ali Sina & Schweitzer, Sascha & Torgler, Benno (2023): Twitter and citations
    Social media, especially Twitter, plays an increasingly important role among researchers in showcasing and promoting their research. Does Twitter affect academic citations? Making use of Twitter activity about columns published on VoxEU, a renowned online platform for economists, we develop an instrumental variable strategy to show that Twitter activity about a research paper has a causal effect on the number of citations that this paper will receive. ... Doubling overall Twitter engagement boosts citations by up to 16%.
    RePEc:eee:ecolet:v:231:y:2023:i:c:s0165176523002951  Save to MyIDEAS
  4. David Klimeš & Androniki Kavoura & Damianos P. Sakas & Petros Tomaras (2017): Understanding Journalists on Twitter: The Czech Case
    This article aims to show that journalists in different countries have different approaches to the use of Twitter. After looking at American and German research, it is fair to say that journalists generally perceive their posts on Twitter in relation to their profession. They do not consider Twitter only to be the private sphere. ... The article examines six of the most popular Czech journalists’ Twitter accounts. ... The article seeks to demonstrate that Czech journalists perceive Twitter more as a medium to support private conversations with other users than as a medium to promote the content of his or her publisher.
    RePEc:spr:prbchp:978-3-319-33865-1_28  Save to MyIDEAS
  5. Vasiliki Vrana & Kostas Zafiropoulos & Konstantinos Antoniadis & Vicky Katsoni & Anastasia Stratigea (2016): Top European Museums on Twitter
    However, little research effort has been devoted at investigating the use of Twitter by museums. The paper aims to fill this gap and records the top-60 European museums and their Twitter accounts. Eleven Twitter performance indexes are used to describe the activity and performance of these accounts. ... A group of the more active museums on Twitter is constructed. Partially, Twitter performance is in accordance with museums popularity and ranking, while there are a significant proportion of museums which do not use Twitter.
    RePEc:spr:prbchp:978-3-319-27528-4_31  Save to MyIDEAS
  6. Alezra, Dylan & Laugier, Iris & Perona, Mathieu (2021): Twitter, mesure du bien-être ?
    Depuis sa création en 2006, le service de micro-blogging Twitter a acquis une place centrale dans la circulation et la diffusion d’informations dans de nombreux pays. ... De nombreux travaux récents ont tenté d’extraire de Twitter des informations sur l’état de l’opinion et sur le bien-être ressenti par la population. ... Sans prétendre à l’exhaustivité, ce survol nous semble restituer une image assez fidèle de l’état de l’art et de ses limites quant à l’utilisation qui peut être faite de Twitter comme révélateur du bien-être ou des orientations politiques d’une population.
    RePEc:cpm:notobe:2009  Save to MyIDEAS
  7. Lutz Bornmann & Robin Haunschild (2018): Allegation of scientific misconduct increases Twitter attention
    The web-based microblogging platform Twitter is a very popular altmetrics source for measuring the broader impact of science. In this case study, we demonstrate how problematic the use of Twitter data for research evaluation can be, even though the aspiration of measurement is degraded from impact to attention measurement. We collected the Twitter data for the paper published by Yamamizu et al.
    RePEc:spr:scient:v:115:y:2018:i:2:d:10.1007_s11192-018-2698-6  Save to MyIDEAS
  8. Ardia, David & Bluteau, Keven (2024): Twitter and cryptocurrency pump-and-dumps
    We study the relation between the promotion of a cryptocurrency on Twitter and its return dynamics around pump-and-dump events. By analyzing abnormal returns, trading volume, and tweet activity, we uncover that Twitter effectively garners attention for pump-and-dump schemes, leading to notable effects on abnormal returns before the event. Our results indicate that investors relying on Twitter information exhibit delayed selling behavior during the post-dump phase, resulting in significant losses compared to other participants.
    RePEc:eee:finana:v:95:y:2024:i:pb:s1057521924004113  Save to MyIDEAS
  9. Perez-Cepeda, Maximiliano & Arias-Bolzmann, Leopoldo G. (2021): Refugee information consumption on Twitter
    Under a qualitative approach and the netnography method, we used Twitter as an instrument for data collection. The model proposed by Perez-Cepeda and Arias-Bolzmann (2020), which describes cultural factors, is used to analyze the Twitter conversation flow that evidences the sociocultural factors of minority subcultures. Studies have shown that the data structure, classification, categorization, and purpose are based on the information production and consumption of the users who participate in Twitter conversations with @Refugees—the official account of the ACNUR/UNHCR Américas. ... This paper focuses on refugees, the consumption of refugee information, text writing, sociocultural factors, and the environment on Twitter.
    RePEc:eee:jbrese:v:123:y:2021:i:c:p:529-537  Save to MyIDEAS
  10. Joshua O. Barker & Julia Vassey & Julia C. Chen-Sankey & Jon-Patrick Allem & Tess Boley Cruz & Jennifer B. Unger (2021): Categorizing IQOS-Related Twitter Discussions
    Social media sites such as Twitter are often used to promote or discuss tobacco products, though prior research has not examined how IQOS is presented on Twitter. (2) Methods: This study collected and categorized Twitter conversations involving IQOS.
    RePEc:gam:jijerp:v:18:y:2021:i:9:p:4836-:d:547337  Save to MyIDEAS
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