Academic literature on the topic 'Authorship'

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Journal articles on the topic "Authorship"

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Green, M. S. "Authorship! Authorship!" JAMA: The Journal of the American Medical Association 271, no. 24 (June 22, 1994): 1904b—1904. http://dx.doi.org/10.1001/jama.271.24.1904b.

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Kasper, C. K. "Authorship! Authorship!" JAMA: The Journal of the American Medical Association 271, no. 24 (June 22, 1994): 1904c—1904. http://dx.doi.org/10.1001/jama.271.24.1904c.

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Rennie, Drummond. "Authorship! Authorship!" JAMA 271, no. 6 (February 9, 1994): 469. http://dx.doi.org/10.1001/jama.1994.03510300075043.

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Green, Manfred S. "Authorship! Authorship!" JAMA: The Journal of the American Medical Association 271, no. 24 (June 22, 1994): 1904. http://dx.doi.org/10.1001/jama.1994.03510480028013.

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Kasper, Carol K. "Authorship! Authorship!" JAMA: The Journal of the American Medical Association 271, no. 24 (June 22, 1994): 1904. http://dx.doi.org/10.1001/jama.1994.03510480028014.

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Ferreira, Manuel Portugal, Christian Daniel Falaster, Cláudia Sofia Frias Pinto, and Renata Canela. "Publishing in co-authorship: A comparison of the motivations between more and less prolific Management scholars in Brazil." Administração: Ensino e Pesquisa 21, no. 2 (May 1, 2020): 56–88. http://dx.doi.org/10.13058/raep.2020.v21n2.1576.

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In this study, we investigate what more and less prolific scholars – that publish more or less scientific articles – search for in their co-authorship ties. Specifically, we seek to understand if and how there are differences in the motivations presiding to co-authorship between more and less prolific researchers. Research on co-authorship is of interest to the academia, since the majority of the articles are published in co-authorship and co-authorships may have an important impact in the scholars’ career. We have collected survey data with 171 Brazilian management faculty, about their motivations, pressures, and choices for co-authorship. We identify significant differences on the perceived pressures to publish, source of pressure, motivations to work in co-authorship and the contributions warranting co-authorship across more and less prolific researchers. We contribute to the debate on the development of scholars and the formation of co-authorship ties, suggesting that co-authorship may be strategically managed and evolving along the professional path of the researchers, and leaving the possibility that scholars’ networks of co-authorship evolve strategically as they seek different goals.
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HICK, DARREN HUDSON. "Authorship, Co-Authorship, and Multiple Authorship." Journal of Aesthetics and Art Criticism 72, no. 2 (April 23, 2014): 147–56. http://dx.doi.org/10.1111/jaac.12075.

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Bhagat, Vijay. "Women Authorship of Scholarly Publications in STEMM: Authorship Puzzle." Feminist Research 2, no. 2 (June 16, 2019): 66–76. http://dx.doi.org/10.21523/gcj2.18020204.

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The continued underrepresentation of women in scholarly activities slows down the scientific progress of any country. Several studies have analyzed the women representation in authorship of scholarly publications in Science, Technology, Engineering, Mathematics and Medicine (STEMM). Women account only 30% of overall authorship of scholarly articles. Prestigious authorships like first-, last- and corresponding authors also show significant underrepresentation of women. Women as first authors are significantly increasing since last decades; however, growth of last authors is not significant and share of corresponding authors not changed. Women show low overall impact of scholarly publications due to lower productivity but not for quality of publication. This gender authorship puzzle can be solved by adopting gender responsive planning and management. Therefore, systematic efforts to understand the gender disparities in scholarly publications, authorship citations and collaborations require for achieving significant positive change in the share of women in academic authorship, impact and career. The field is new, active, attractive and interesting area of research to achieve gender equality in scientific research and publications for social welfare.
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Rennie, Drummond. "Authorship! Authorship!-Reply." JAMA: The Journal of the American Medical Association 271, no. 24 (June 22, 1994): 1904. http://dx.doi.org/10.1001/jama.1994.03510480028015.

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Kumar, Sameer. "Ethical Concerns in the Rise of Co-Authorship and Its Role as a Proxy of Research Collaborations." Publications 6, no. 3 (August 16, 2018): 37. http://dx.doi.org/10.3390/publications6030037.

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Increasing specialization, changes in the institutional incentives for publication, and a host of other reasons have brought about a marked trend towards co-authored articles among researchers. These changes have impacted Science and Technology (S&T) policies worldwide. Co-authorship is often considered to be a reliable proxy for assessing research collaborations at micro, meso, and macro levels. Although co-authorship in a scholarly publication brings numerous benefits to the participating authors, it has also given rise to issues of publication integrity, such as ghost authorships and honorary authorships. The code of conduct of bodies such as the American Psychological Association (APA) and the International Committee of Medical Journal Editors (ICMJE) make it clear that only those who have significantly contributed to the study should be on the authorship list. Those who have contributed little have to be appropriately “acknowledged” in footnotes or in the acknowledgement section. However, these principles are sometimes transgressed, and a complete solution still remains elusive.
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Dissertations / Theses on the topic "Authorship"

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Kesson, Andrew. "Early modern authorship." Thesis, University of Kent, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.520914.

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Calarota, Gabriele. "On Authorship Attribution." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22809/.

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Authorship attribution is the process of identifying the author of a given text and from the machine learning perspective, it can be seen as a classification problem. In the literature, there are a lot of classification methods for which feature extraction techniques are conducted. In this thesis, we explore information retrieval techniques such as Doc2Vec and other useful feature selection and extraction techniques for a given text with different classifiers. The main purpose of this work is to lay the foundations of feature extraction techniques in authorship attribution. At the end of this work, we show how we compared our results with related works and how we managed to improve, to the best of our knowledge, the results on a particular dataset, very known in this field.
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Klapperich, T. J. "The authorship of Ecclesiastes." Theological Research Exchange Network (TREN), 2003. http://www.tren.com/search.cfm?p086-0040.

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May, Thomas Glen. "The authorship of Hebrews." Theological Research Exchange Network (TREN), 1986. http://www.tren.com.

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Honaker, Randale J. "Novel topic authorship attribution." Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/5761.

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The practice of using statistical models in predicting authorship (so-called author-attribution models) is long established. Several recent authorship attribution studies have indicated that topic-specific cues impact author-attribution machine learning models. The arrival of new topics should be anticipated rather than ignored in an author attribution evaluation methodology; a model that relies heavily on topic cues will be problematic in deployment settings where novel topics are common. In order to effectively deal with novel topics, we create author and topic vectors and attempt to project out the topic influences from each document. Although our experiments did not validate our assumptions, they do point out a possible problem with a common assumption in authorship attribution research.
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Simone, Daniela Teresa. "Copyright and collective authorship." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:fba5022d-8647-4deb-91f3-8cd8c536bcfa.

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Many scholars have suggested that current copyright law is ill-equipped to the challenges of determining the authorship of collaborative work. This thesis analyses four case studies of large scale collaboration (Wikipedia, Indigenous art, scientific collaborations and film) in order to consider how best to determine the authorship of the creative works that they produce for the purposes of copyright law. Current scholarship and much of the case law has tended to favour a restrictive approach to the grant of joint authorship status, in order to minimise the number of potential authors of a work. This is motivated by instrumental/pragmatic concerns related to the ease of exploiting a copyright work. As joint authors are often joint first owners of copyright, proponents of this approach fear that a minor contributor might cause hold-up problems by refusing to consent to licence or assign their copyright interest. This thesis argues that an instrumental/pragmatic approach to the application of the joint authorship test is undesirable, because it distances the test both from the creativity reality of collective authorship and from copyright’s notion of the author. In addition, the instrumental/pragmatic approach relies upon assumptions about creators, the creative process and the exploitation of creative works which are not borne out in the case studies. Building on the insights from the four case studies, the thesis argues that the best approach to applying the joint authorship test to works of collective authorship is one that is inclusive (of all those who have made a more than de minimis contribution of creative choices to the protected expression) and contextual (in that it takes the context of creativity into account). In coming to this conclusion the thesis also offers broader lessons about the nature of authorship and the ongoing relevance of copyright law standards for the regulation of collaborative creativity.
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Lalla, Himal. "E-mail forensic authorship attribution." Thesis, University of Fort Hare, 2010. http://hdl.handle.net/10353/360.

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E-mails have become the standard for business as well as personal communication. The inherent security risks within e-mail communication present the problem of anonymity. If an author of an e-mail is not known, the digital forensic investigator needs to determine the authorship of the e-mail using a process that has not been standardised in the e-mail forensic field. This research project examines many problems associated with e-mail communication and the digital forensic domain; more specifically e-mail forensic investigations, and the recovery of legally admissible evidence to be presented in a court of law. The Research Methodology utilised a comprehensive literature review in combination with Design Science which results in the development of an artifact through intensive research. The Proposed E-Mail Forensic Methodology is based on the most current digital forensic investigation process and further validation of the process was established via expert reviews. The opinions of the digital forensic experts were an integral portion of the validation process which adds to the credibility of the study. This was performed through the aid of the Delphi technique. This Proposed E-Mail Forensic Methodology adopts a standardised investigation process applied to an e-mail investigation and takes into account the South African perspective by incorporating various checks with the laws and legislation. By following the Proposed E-mail Forensic Methodology, e-mail forensic investigators can produce evidence that is legally admissible in a court of law.
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Gerritsen, Corey M. (Corey Metcalf) 1979. "Authorship attribution using lexical attraction." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87414.

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Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
Includes bibliographical references (p. 56-57).
by Corey M. Gerritsen.
M.Eng.and S.B.
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Tennyson, Matthew Francis. "Authorship Attribution of Source Code." NSUWorks, 2013. http://nsuworks.nova.edu/gscis_etd/322.

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Authorship attribution of source code is the task of deciding who wrote a program, given its source code. Applications include software forensics, plagiarism detection, and determining software ownership. A number of methods for the authorship attribution of source code have been presented in the past. A review of those existing methods is presented, while focusing on the two state-of-the-art methods: SCAP and Burrows. The primary goal was to develop a new method for authorship attribution of source code that is even more effective than the current state-of-the-art methods. Toward that end, a comparative study of the methods was performed in order to determine their relative effectiveness and establish a baseline. A suitable set of test data was also established in a manner intended to support the vision of a universal data set suitable for standard use in authorship attribution experiments. A data set was chosen consisting of 7,231 open-source and textbook programs written in C++ and Java by thirty unique authors. The baseline study showed both the Burrows and SCAP methods were indeed state-of-the-art. The Burrows method correctly attributed 89% of all documents, while the SCAP method correctly attributed 95%. The Burrows method inherently anonymizes the data by stripping all comments and string literals, while the SCAP method does not. So the methods were also compared using anonymized data. The SCAP method correctly attributed 91% of the anonymized documents, compared to 89% by Burrows. The Burrows method was improved in two ways: the set of features used to represent programs was updated and the similarity metric was updated. As a result, the improved method successfully attributed nearly 94% of all documents, compared to 89% attributed in the baseline. The SCAP method was also improved in two ways: the technique used to anonymize documents was changed and the amount of information retained in the source code author profiles was determined differently. As a result, the improved method successfully attributed 97% of anonymized documents and 98% of non-anonymized documents, compared to 91% and 95% that were attributed in the baseline, respectively. The two improved methods were used to create an ensemble method based on the Bayes optimal classifier. The ensemble method successfully attributed nearly 99% of all documents in the data set.
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Jones, Kailin J. (Kailin Jenifer). "After aura : authorship, automation, authenticity." Thesis, Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/132752.

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Thesis: M. Arch., Massachusetts Institute of Technology, Department of Architecture, February, 2021
Cataloged from the official pdf of thesis. Page 124 blank
Includes bibliographical references (page 123).
Walter Benjamin wrote in his seminal 1935 essay, "that which withers in the age of mechanical reproduction is the aura of the work of art"--an essay that narrowly defines art and the craft of art up until that moment as something that is rooted in site specificity, ritual, uniqueness and non-reproducibility. This conception of art and artistic production fails to acknowledge the networks of transmission, transfer, and transformation that have always existed in parallel with the migration of objects, people and tools circulating the world throughout history. Almost a century after Benjamin's essay on mechanical reproduction, we have entered the digital, the post-digital, the automated, while at times have been nostalgic for the mechanical and the hand-made. That being said, the anxiety surrounding the Aura has in many ways not faded. We still bid wildly at auctions, flock into galleries in pursuit of the new or go on pilgrimages to architectural sites and museums to see and experience the original "in person." We also employ armies of scholars or dealers to find or authenticate the "original". In After Art, David Joselit asks for an expansion of the definition of art to "embrace heterogeneous configurations of relationships or links," freeing art from belonging to any particular time, space or medium, but rather as Pierre Huyghe says, "a dynamic chain that passes through different formats." This thesis attempts to document and utilize these dynamic chains through acts of copying using contemporary tools and conditions such as outsourcing and open sourcing. In experiments in outsourcing, I decided to digitally reproduce ornate, luxurious, objects valued for their rarity in order to make them more easily reproducible. In experiments in tools for copying, I designed a machine by utilizing an open source, anonymous, catalog of parts to imitate expired mechanical copying devices.
by Kailin J. Jones.
M. Arch.
M.Arch. Massachusetts Institute of Technology, Department of Architecture
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Books on the topic "Authorship"

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Juola, Patrick. Authorship attribution. Boston: Now, 2008.

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M, Rudner Lawrence, and ERIC Clearinghouse on Assessment and Evaluation., eds. Authorship ethics. [Washington, DC: ERIC Clearinghouse on Assessment and Evaluation, the Catholic University of America, 1996.

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Media authorship. New York: Routledge, 2012.

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Authorship revisited: Conceptions of authorship around 1900 and 2000. Leuven: Peeters, 2010.

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David, Saunders. Authorship and copyright. London: Routledge, 1992.

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Hadjiafxendi, Kyriaki, and Polina Mackay, eds. Authorship in Context. London: Palgrave Macmillan UK, 2007. http://dx.doi.org/10.1057/9780230206120.

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Egan, Gerald, ed. Fashion and Authorship. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-26898-5.

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Sjostrand, Anna. Authorship and ambiguity. London: LCP, 2001.

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Shakespeare's literary authorship. Cambridge: Cambridge University Press, 2008.

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Williamson, Dugald. Authorship and criticism. Sydney: Local Consumption Publications, 1989.

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Book chapters on the topic "Authorship"

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Munslow, Alun. "Authorship." In The Future of History, 148–67. London: Macmillan Education UK, 2010. http://dx.doi.org/10.1007/978-1-137-04146-3_9.

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Nahler, Gerhard. "authorship." In Dictionary of Pharmaceutical Medicine, 12. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_97.

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Griffiths, Jane. "Authorship." In A Handbook of English Renaissance Literary Studies, 310–23. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118458747.ch21.

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Hunt, Celia, and Fiona Sampson. "Authorship." In Writing, 40–57. London: Macmillan Education UK, 2006. http://dx.doi.org/10.1007/978-0-230-20460-7_4.

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Vallier, John. "Authorship." In Keywords in Remix Studies, 33–42. New York : Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315516417-4.

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Cantino, Philip D., and Kevin de Queiroz**. "Authorship." In International Code of Phylogenetic Nomenclature (PhyloCode), 89–92. Version 6. | Boca Raton : CRC Press, 2020. | Ratified on January 20, 2019, by the Committee on Phylogenetic Nomenclature, of the International Society for Phylogenetic Nomenclature: CRC Press, 2020. http://dx.doi.org/10.1201/9780429446320-10.

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Law, Graham. "Authorship." In Serializing Fiction in the Victorian Press, 152–80. London: Palgrave Macmillan UK, 2000. http://dx.doi.org/10.1057/9780230286740_6.

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Aldred, Jessica. "Authorship." In The Routledge Companion to Imaginary Worlds, 216–23. New York: Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315637525-27.

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Hanna, Michael. "Authorship." In How to Write Better Medical Papers, 239–43. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02955-5_47.

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Gillespie, Vincent. "Authorship." In A Handbook of Middle English Studies, 135–54. Chichester, UK: John Wiley & Sons Ltd., 2013. http://dx.doi.org/10.1002/9781118328736.ch9.

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Conference papers on the topic "Authorship"

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Bozkurt, Ilker Nadi, Ozgur Baghoglu, and Erkan Uyar. "Authorship attribution." In 2007 22nd International Symposium on Computer and Information Sciences - ISCIS '07. IEEE, 2007. http://dx.doi.org/10.1109/iscis.2007.4456854.

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Kim, Sangkyum, Hyungsul Kim, Tim Weninger, Jiawei Han, and Hyun Duk Kim. "Authorship classification." In the 34th international ACM SIGIR conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2009916.2009979.

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Kim, Sangkyum, Hyungsul Kim, Tim Weninger, and Jiawei Han. "Authorship classification." In the ACM SIGKDD Workshop. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1816112.1816121.

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Bevendorff, Janek, Martin Potthast, Matthias Hagen, and Benno Stein. "Heuristic Authorship Obfuscation." In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/p19-1104.

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Laniado, David, and Riccardo Tasso. "Co-authorship 2.0." In the 22nd ACM conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1995966.1995994.

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Muttarak, Malai. "Authorship and Acknowledgements." In 5th Regional Workshop on Medical Writing for Radiologists. Singapore: The Singapore Radiological Society, 2006. http://dx.doi.org/10.2349/biij.2.1.e14-68.

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Stamatatos, E., N. Fakotakis, and G. Kokkinakis. "Automatic authorship attribution." In the ninth conference. Morristown, NJ, USA: Association for Computational Linguistics, 1999. http://dx.doi.org/10.3115/977035.977057.

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Wen, Wanting, Qiudan Li, Junfeng Li, Xu Zhang, and Daniel Zeng. "Predicting Online News Authorship by an Authorship Embeddings Space Method." In 2020 5th IEEE International Conference on Big Data Analytics (ICBDA). IEEE, 2020. http://dx.doi.org/10.1109/icbda49040.2020.9101269.

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Canbay, Pelin, Ebru Akcapinar Sezer, and Hayri Sever. "Authorship modelling approach for authorship verification on the Turkish texts." In 2018 26th Signal Processing and Communications Applications Conference (SIU). IEEE, 2018. http://dx.doi.org/10.1109/siu.2018.8404436.

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Smiraglia, Richard P., Hur-Li Lee, and Hope A. Olson. "Epistemic presumptions of authorship." In the 2011 iConference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1940761.1940780.

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Reports on the topic "Authorship"

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Hamermesh, Daniel. Age, Cohort and Co-Authorship. Cambridge, MA: National Bureau of Economic Research, February 2015. http://dx.doi.org/10.3386/w20938.

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Wager, Elizabeth. How to spot authorship problems. Committee on Publication Ethics, January 2006. http://dx.doi.org/10.24318/cope.2019.2.16.

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Wager, Elizabeth. Suspected ghost, guest or gift authorship. Committee on Publication Ethics, January 2006. http://dx.doi.org/10.24318/cope.2019.2.18.

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Pritychenko, B. Intriguing Trends in Nuclear Physics Articles Authorship. Office of Scientific and Technical Information (OSTI), November 2014. http://dx.doi.org/10.2172/1164794.

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ⓡ, Debraj Ray, and Arthur Robson. Certified Random: A New Order for Co-Authorship. Cambridge, MA: National Bureau of Economic Research, September 2016. http://dx.doi.org/10.3386/w22602.

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Albert, Tim, and Elizabeth Wager. How to handle authorship disputes: a guide for new researchers. Committee on Publication Ethics, September 2009. http://dx.doi.org/10.24318/cope.2018.1.1.

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Seltzer, Andrew, and Daniel Hamermesh. Co-authorship in Economic History and Economics: Are We Any Different? Cambridge, MA: National Bureau of Economic Research, May 2017. http://dx.doi.org/10.3386/w23404.

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Freeman, Richard, and Wei Huang. Collaborating With People Like Me: Ethnic co-authorship within the US. Cambridge, MA: National Bureau of Economic Research, February 2014. http://dx.doi.org/10.3386/w19905.

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Greenspon, Jacob, and Dani Rodrik. A Note on the Global Distribution of Authorship in Economics Journals. Cambridge, MA: National Bureau of Economic Research, October 2021. http://dx.doi.org/10.3386/w29435.

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MacGarvie, Megan, and Petra Moser. Copyright and the Profitability of Authorship: Evidence from Payments to Writers in the Romantic Period. Cambridge, MA: National Bureau of Economic Research, October 2013. http://dx.doi.org/10.3386/w19521.

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