The rapid development of artificial intelligence(AI)has brought significant changes to academic writing,raising important questions about authorship,originality,and how writing is taught and learned.While AI-based wri...The rapid development of artificial intelligence(AI)has brought significant changes to academic writing,raising important questions about authorship,originality,and how writing is taught and learned.While AI-based writing tools are now widely available,academic writing instruction has not kept pace and continues to rely on conventional pedagogical approaches.This paper introduces a conceptual framework called the Academic Writing and AI Integration(AWAI)Framework,which seeks to address this gap in a structured and pedagogically informed manner.Grounded in interdisciplinary scholarship,the AWAI Framework emphasizes the integration of three key elements:scholarly content knowledge,academic writing conventions,and AI literacy.Rather than reporting empirical findings,this study presents a theoretical model aimed at supporting educators and students as they navigate the opportunities and challenges posed by AI in academic contexts.The framework outlines a balanced approach to incorporating AI tools into writing instruction,while upholding the standards of academic rigor and ethical responsibility.Through this work,academic writing is reconsidered in light of emerging technological influences.The framework contributes to broader discussions about educational innovation and provides a foundation for future inquiry into the evolving relationship between human authors and intelligent systems in scholarly communication.展开更多
Purpose:This study aims to evaluate the accuracy of authorship attributions in scientific publications,focusing on the fairness and precision of individual contributions within academic works.Design/methodology/approa...Purpose:This study aims to evaluate the accuracy of authorship attributions in scientific publications,focusing on the fairness and precision of individual contributions within academic works.Design/methodology/approach:The study analyzes 81,823 publications from the journal PLOS ONE,covering the period from January 2018 to June 2023.It examines the authorship attributions within these publications to try and determine the prevalence of inappropriate authorship.It also investigates the demographic and professional profiles of affected authors,exploring trends and potential factors contributing to inaccuracies in authorship.Findings:Surprisingly,9.14%of articles feature at least one author with inappropriate authorship,affecting over 14,000 individuals(2.56%of the sample).Inappropriate authorship is more concentrated in Asia,Africa,and specific European countries like Italy.Established researchers with significant publication records and those affiliated with companies or nonprofits show higher instances of potential monetary authorship.Research limitations:Our findings are based on contributions as declared by the authors,which implies a degree of trust in their transparency.However,this reliance on self-reporting may introduce biases or inaccuracies into the dataset.Further research could employ additional verification methods to enhance the reliability of the findings.Practical implications:These findings have significant implications for journal publishers,Beyond authorship:Analyzing contributions in PLOS ONE and Maddi,A.,&the challenges of appropriate attribution highlighting the necessity for robust control mechanisms to ensure the integrity of authorship attributions.Moreover,researchers must exercise discernment in determining when to acknowledge a contributor and when to include them in the author list.Addressing these issues is crucial for maintaining the credibility and fairness of academic publications.Originality/value:This study contributes to an understanding of critical issues within academic authorship,shedding light on the prevalence and impact of inappropriate authorship attributions.By calling for a nuanced approach to ensure accurate credit is given where it is due,the study underscores the importance of upholding ethical standards in scholarly publishing.展开更多
Authorship in a scientific publication is an indicator of significant intellectual contribution in scientific work.Regardless of the discipline,it is important for research-related personnel to receive credit and take...Authorship in a scientific publication is an indicator of significant intellectual contribution in scientific work.Regardless of the discipline,it is important for research-related personnel to receive credit and take responsibility for their publications.There are currently several systems of listing authorship that arise from many factors such as research complexity,pressure to obtain funding,hierarchical structure,and promotion.Some of these may unfortunately lead to authorship abuse.Raising awareness and understanding of authorship guidelines can help prevent abuses and disputes.National Science and Technology Development Agency(NSTDA)is a national research agency of Thailand with about 2000 research staff members.The research emphasis of the agency is mainly technology development for application in broad areas,ranging from engineering to medicine,including forensic science.We conducted a survey to identify the level of awareness of NSTDA research staff and their authorship practices.A questionnaire was designed based on the International Committee of Medical Journal Editors(ICMJE)authorship guidelines and used to survey 15%of randomly selected NSTDA research staff.Nearly 90%of them responded to the interview.Among the respondents,60%were not sure about authorship criteria.When presented with the ICMJE criteria,more than 90%agreed with the criteria except for the third one,approval of the final manuscript before submission,33%of respondents thought that authors are only responsible for their particular contribution.However,nearly 80%agreed that every author is responsible for the integrity of the whole manuscript.These results offered an important foundation for forming a strategy to raise awareness about authorship in NSTDA.Following survey analysis,we organized several seminars and developed learning materials and an authorship guideline to increase the level of awareness of authorship for researchers.展开更多
As editors of general medical journals, we recog-nize that the publication of clinical-research find-ings in respected peer-reviewed journals is the ul-timate basis for most treatment decisions. Publicdiscourse about ...As editors of general medical journals, we recog-nize that the publication of clinical-research find-ings in respected peer-reviewed journals is the ul-timate basis for most treatment decisions. Publicdiscourse about this published evidence of efficacyand safety rests on the assumption that clinical-tri-als data have been gathered and are presented inan objective and dispassionate manner. This dis-course is vital to the scientific practice of medicinebecause it shapes treatment decisions made byphysicians and drives public and private healthcare policy. We are concerned that the current in-tellectual environment in which some clinical re-search is conceived, study participants are recrui-ted, and the data analyzed and reported (or notreported) may threaten this precious objectivity.展开更多
Authorship verification is a crucial task in digital forensic investigations,where it is often necessary to determine whether a specific individual wrote a particular piece of text.Convolutional Neural Networks(CNNs)h...Authorship verification is a crucial task in digital forensic investigations,where it is often necessary to determine whether a specific individual wrote a particular piece of text.Convolutional Neural Networks(CNNs)have shown promise in solving this problem,but their performance highly depends on the choice of hyperparameters.In this paper,we explore the effectiveness of hyperparameter tuning in improving the performance of CNNs for authorship verification.We conduct experiments using a Hyper Tuned CNN model with three popular optimization algorithms:Adaptive Moment Estimation(ADAM),StochasticGradientDescent(SGD),andRoot Mean Squared Propagation(RMSPROP).The model is trained and tested on a dataset of text samples collected from various authors,and the performance is evaluated using accuracy,precision,recall,and F1 score.We compare the performance of the three optimization algorithms and demonstrate the effectiveness of hyperparameter tuning in improving the accuracy of the CNN model.Our results show that the Hyper Tuned CNN model with ADAM Optimizer achieves the highest accuracy of up to 90%.Furthermore,we demonstrate that hyperparameter tuning can help achieve significant performance improvements,even using a relatively simple model architecture like CNNs.Our findings suggest that the choice of the optimization algorithm is a crucial factor in the performance of CNNs for authorship verification and that hyperparameter tuning can be an effective way to optimize this choice.Overall,this paper demonstrates the effectiveness of hyperparameter tuning in improving the performance of CNNs for authorship verification in digital forensic investigations.Our findings have important implications for developing accurate and reliable authorship verification systems,which are crucial for various applications in digital forensics,such as identifying the author of anonymous threatening messages or detecting cases of plagiarism.展开更多
Recently, the editorial office received a requisition from one of the co-corresponding authors of an article published in Zoological Research in 2003. This researcher claimed he was not informed that he was listed as ...Recently, the editorial office received a requisition from one of the co-corresponding authors of an article published in Zoological Research in 2003. This researcher claimed he was not informed that he was listed as an author during the entire manuscript submission and publication process. Moreover, he had a concern about the reliability of the data in the paper. Therefore, he would like to withdraw his authorship of this particular article or withdraw this article entirely. The editorial office forwarded the letter to the other authors to collect comments, and the first author completely denied the co-corresponding author＇s claim of unawareness of authorship by providing archived emails between them. Setting aside what really happened 13 years ago, in this case, it may be interpreted that either this cocorresponding author himself is announcing his honorary authorship （either by passively being added to the byline or actively accepting the offer） in this article, or is trying to avoid taking （potential） responsibility regarding the research content by using honorary authorship as a defense. Meanwhile, the first author has been accused of offering honorary authorship to a senior researcher.展开更多
DEAR EDITOR： We read the publication by Liu （2016） on authorship misconduct with a great interest. In fact, the authorship misconduct is no uncommon and has to be managed, Liu （2016） noted that ＂Proper authorshi...DEAR EDITOR： We read the publication by Liu （2016） on authorship misconduct with a great interest. In fact, the authorship misconduct is no uncommon and has to be managed, Liu （2016） noted that ＂Proper authorship embodies honesty, integrity, fairness and transparency, which surely are the very essence of any scientific pursuit.＂ Due to the present requirement on academic publication to support academic rank, several forms of authorship misconduct can be seen. Of interest,展开更多
The paper is focused on the cultural consequences of a new technological opportunity in mass communication. The Internet has given two billion people a technical means of authorship. It is a real explosion of authors...The paper is focused on the cultural consequences of a new technological opportunity in mass communication. The Internet has given two billion people a technical means of authorship. It is a real explosion of authorship： In all previous history of mankind there, probably, have been about 200-300 million authors. The emancipation of authorship explains （better than technological innovations） all other changes in the public life, connected with the new communicative environment. The new environment, in which any person from the audience can be an author, develops its own mechanism for creating public significance. The paper describes the structure and functioning of this mechanism, named the Viral Editor, as a ubiquitous and dispersed creature of the Internet which consists of people-users who all now have gotten rights to compose, edit and spread any facts and opinions in any form and shape.展开更多
Female writers have always been in an inferior status to male writers in the early age. This situation does greatharm to many female writers both physically and psychologically, which can also be fully displayed in th...Female writers have always been in an inferior status to male writers in the early age. This situation does greatharm to many female writers both physically and psychologically, which can also be fully displayed in their works.Jane Eyre is a feminist canon written by Charlotte Bronte. As an autobiographical novel, Jane Eyre contains thedilemma and the anxiety of the authorship of female writers in 19th century. Those could be mainly embodied bythe masculine pseudonym and dual writing strategy, the portrayal of heroine Jane, and another important femalecharacter Bertha.展开更多
Yasunari Kawabata was a famous Japanese novelist and the winner of the 1968 Nobel Prize for Literature. However, considerable debate has persisted concerning the authorship of one of his novels, The Sound of the Mount...Yasunari Kawabata was a famous Japanese novelist and the winner of the 1968 Nobel Prize for Literature. However, considerable debate has persisted concerning the authorship of one of his novels, The Sound of the Mountain, with some claiming that it was in fact written by another celebrated author, Yukio Mishima. In this research, we attempt to resolve this issue by applying character bigrams, part-of-speech bigrams, and phrase patterns as stylometric features, and principal component analysis, hierarchical cluster analysis, and random forests as authorship attribution methods. As a result, we obtained compelling evidence to show that Yukio Mishima was not the author of The Sound of the Mountain.展开更多
Singular authorship of＂The Tale of Genji,＂ which is the greatest accomplishment in classical Japanese literature, is doubtful In this study, we statistically analyze whether the author of Uji Jujo, which comprises t...Singular authorship of＂The Tale of Genji,＂ which is the greatest accomplishment in classical Japanese literature, is doubtful In this study, we statistically analyze whether the author of Uji Jujo, which comprises the last ten chapters of the ＂Tale of Ganji,＂ is same as that of other chapters by using statistical analyses such as principal component analysis and random forests. The result of the analyses of word frequency shows that there is no obvious difference in word usage between the ten chapters and others. Thus, we conclude that it is highly possible that the chapters＇ author is same as that of others.展开更多
Digitization process,while provoking ontological crises and fueling debates over disciplinary discourses,has simultaneously become a methodological framework and a generative force for reshaping the nature of knowledg...Digitization process,while provoking ontological crises and fueling debates over disciplinary discourses,has simultaneously become a methodological framework and a generative force for reshaping the nature of knowledge production and the writing of history.This paper examines the diverse practices emerging in the digitization of art history,encompassing database migration,computationally assisted analyses,the mobility of texts and discourses,and the algorithmic rewriting and AI generation that increasingly shape scholarly production.As digital processes generate vast amounts of detail while simultaneously fragmenting discourse through algorithmic operations,they challenge long-standing scholarly hierarchies and established structures of authority.This study employs the concept of“copy”as a metaphorical cue to explore the critical necessity of reconfiguring authenticity and subjectivity in the history of digital art.By redefining who has the right to write,who holds epistemic authority in the digital paradigm,how narratives are constructed and reconstructed,and through what mechanisms knowledge is produced,disseminated,and legitimized,this paper argues that digital art history is gradually distancing itself from historiographical traditions.Ultimately,the entanglement of human and non-human agents ranging from scholars and institutions to algorithms and data infrastructures will fundamentally reconfigure negotiations surrounding art,media,technology,and information.展开更多
Ocular biological characteristics and refractive errors in children with unilateral congenital ptosis Yu-Ying Sun,Bing-Ying Lin,Zhen Mao,Xuan-Wei Liang,Cui-Yu Zhang,Dan-Ping Huang,Yao Ni,Zuo-Hong Li Int J Ophthalmol 2...Ocular biological characteristics and refractive errors in children with unilateral congenital ptosis Yu-Ying Sun,Bing-Ying Lin,Zhen Mao,Xuan-Wei Liang,Cui-Yu Zhang,Dan-Ping Huang,Yao Ni,Zuo-Hong Li Int J Ophthalmol 2025;18(4):691-698.DOI:10.18240/ijo.2025.04.16 The author requests to change the authorship and affiliations as follows.展开更多
Authorship attribution, also known as authorship classification, is the problem of identifying the authors （reviewers） of a set of documents （reviews）. The common approach is to build a classifier using supervised...Authorship attribution, also known as authorship classification, is the problem of identifying the authors （reviewers） of a set of documents （reviews）. The common approach is to build a classifier using supervised learning. This approach has several issues which hurts its applicability. First, supervised learning needs a large set of documents from each author to serve as the training data. This can be difficult in practice. For example, in the online review domain, most reviewers （authors） only write a few reviews, which are not enough to serve as the training data. Second, the learned classifier cannot be applied to authors whose documents have not been used in training. In this article, we propose a novel solution to deal with the two problems. The core idea is that instead of learning in the original document space, we transform it to a similarity space. In the similarity space, the learning is able to naturally tackle the issues. Our experiment results based on online reviews and reviewers show that the proposed method outperforms the state-of-the-art supervised and unsupervised baseline methods significantly.展开更多
We examine the association between network centrality and research using the accounting research community setting.We establish co-authorship network using papers published in the five top accounting journals from 198...We examine the association between network centrality and research using the accounting research community setting.We establish co-authorship network using papers published in the five top accounting journals from 1980 to 2016.We find that the co-authorship network in accounting is a“small world”with some most connected authors playing a key role in connecting others.We use machine learning to label published papers with multiple topics and find patterns in topics over time.More importantly,we find that co-authorship network centrality is positively associated with future research productivity and topic innovation and that the impact of centrality on productivity is higher with more senior authors.Further,centrality of an author’s co-authors also has an incrementally positive impact.We conclude that network centrality positively influences research output.展开更多
文摘The rapid development of artificial intelligence(AI)has brought significant changes to academic writing,raising important questions about authorship,originality,and how writing is taught and learned.While AI-based writing tools are now widely available,academic writing instruction has not kept pace and continues to rely on conventional pedagogical approaches.This paper introduces a conceptual framework called the Academic Writing and AI Integration(AWAI)Framework,which seeks to address this gap in a structured and pedagogically informed manner.Grounded in interdisciplinary scholarship,the AWAI Framework emphasizes the integration of three key elements:scholarly content knowledge,academic writing conventions,and AI literacy.Rather than reporting empirical findings,this study presents a theoretical model aimed at supporting educators and students as they navigate the opportunities and challenges posed by AI in academic contexts.The framework outlines a balanced approach to incorporating AI tools into writing instruction,while upholding the standards of academic rigor and ethical responsibility.Through this work,academic writing is reconsidered in light of emerging technological influences.The framework contributes to broader discussions about educational innovation and provides a foundation for future inquiry into the evolving relationship between human authors and intelligent systems in scholarly communication.
文摘Purpose:This study aims to evaluate the accuracy of authorship attributions in scientific publications,focusing on the fairness and precision of individual contributions within academic works.Design/methodology/approach:The study analyzes 81,823 publications from the journal PLOS ONE,covering the period from January 2018 to June 2023.It examines the authorship attributions within these publications to try and determine the prevalence of inappropriate authorship.It also investigates the demographic and professional profiles of affected authors,exploring trends and potential factors contributing to inaccuracies in authorship.Findings:Surprisingly,9.14%of articles feature at least one author with inappropriate authorship,affecting over 14,000 individuals(2.56%of the sample).Inappropriate authorship is more concentrated in Asia,Africa,and specific European countries like Italy.Established researchers with significant publication records and those affiliated with companies or nonprofits show higher instances of potential monetary authorship.Research limitations:Our findings are based on contributions as declared by the authors,which implies a degree of trust in their transparency.However,this reliance on self-reporting may introduce biases or inaccuracies into the dataset.Further research could employ additional verification methods to enhance the reliability of the findings.Practical implications:These findings have significant implications for journal publishers,Beyond authorship:Analyzing contributions in PLOS ONE and Maddi,A.,&the challenges of appropriate attribution highlighting the necessity for robust control mechanisms to ensure the integrity of authorship attributions.Moreover,researchers must exercise discernment in determining when to acknowledge a contributor and when to include them in the author list.Addressing these issues is crucial for maintaining the credibility and fairness of academic publications.Originality/value:This study contributes to an understanding of critical issues within academic authorship,shedding light on the prevalence and impact of inappropriate authorship attributions.By calling for a nuanced approach to ensure accurate credit is given where it is due,the study underscores the importance of upholding ethical standards in scholarly publishing.
文摘Authorship in a scientific publication is an indicator of significant intellectual contribution in scientific work.Regardless of the discipline,it is important for research-related personnel to receive credit and take responsibility for their publications.There are currently several systems of listing authorship that arise from many factors such as research complexity,pressure to obtain funding,hierarchical structure,and promotion.Some of these may unfortunately lead to authorship abuse.Raising awareness and understanding of authorship guidelines can help prevent abuses and disputes.National Science and Technology Development Agency(NSTDA)is a national research agency of Thailand with about 2000 research staff members.The research emphasis of the agency is mainly technology development for application in broad areas,ranging from engineering to medicine,including forensic science.We conducted a survey to identify the level of awareness of NSTDA research staff and their authorship practices.A questionnaire was designed based on the International Committee of Medical Journal Editors(ICMJE)authorship guidelines and used to survey 15%of randomly selected NSTDA research staff.Nearly 90%of them responded to the interview.Among the respondents,60%were not sure about authorship criteria.When presented with the ICMJE criteria,more than 90%agreed with the criteria except for the third one,approval of the final manuscript before submission,33%of respondents thought that authors are only responsible for their particular contribution.However,nearly 80%agreed that every author is responsible for the integrity of the whole manuscript.These results offered an important foundation for forming a strategy to raise awareness about authorship in NSTDA.Following survey analysis,we organized several seminars and developed learning materials and an authorship guideline to increase the level of awareness of authorship for researchers.
文摘As editors of general medical journals, we recog-nize that the publication of clinical-research find-ings in respected peer-reviewed journals is the ul-timate basis for most treatment decisions. Publicdiscourse about this published evidence of efficacyand safety rests on the assumption that clinical-tri-als data have been gathered and are presented inan objective and dispassionate manner. This dis-course is vital to the scientific practice of medicinebecause it shapes treatment decisions made byphysicians and drives public and private healthcare policy. We are concerned that the current in-tellectual environment in which some clinical re-search is conceived, study participants are recrui-ted, and the data analyzed and reported (or notreported) may threaten this precious objectivity.
基金Prince Sultan University for funding this publication’s Article Process Charges(APC).
文摘Authorship verification is a crucial task in digital forensic investigations,where it is often necessary to determine whether a specific individual wrote a particular piece of text.Convolutional Neural Networks(CNNs)have shown promise in solving this problem,but their performance highly depends on the choice of hyperparameters.In this paper,we explore the effectiveness of hyperparameter tuning in improving the performance of CNNs for authorship verification.We conduct experiments using a Hyper Tuned CNN model with three popular optimization algorithms:Adaptive Moment Estimation(ADAM),StochasticGradientDescent(SGD),andRoot Mean Squared Propagation(RMSPROP).The model is trained and tested on a dataset of text samples collected from various authors,and the performance is evaluated using accuracy,precision,recall,and F1 score.We compare the performance of the three optimization algorithms and demonstrate the effectiveness of hyperparameter tuning in improving the accuracy of the CNN model.Our results show that the Hyper Tuned CNN model with ADAM Optimizer achieves the highest accuracy of up to 90%.Furthermore,we demonstrate that hyperparameter tuning can help achieve significant performance improvements,even using a relatively simple model architecture like CNNs.Our findings suggest that the choice of the optimization algorithm is a crucial factor in the performance of CNNs for authorship verification and that hyperparameter tuning can be an effective way to optimize this choice.Overall,this paper demonstrates the effectiveness of hyperparameter tuning in improving the performance of CNNs for authorship verification in digital forensic investigations.Our findings have important implications for developing accurate and reliable authorship verification systems,which are crucial for various applications in digital forensics,such as identifying the author of anonymous threatening messages or detecting cases of plagiarism.
文摘Recently, the editorial office received a requisition from one of the co-corresponding authors of an article published in Zoological Research in 2003. This researcher claimed he was not informed that he was listed as an author during the entire manuscript submission and publication process. Moreover, he had a concern about the reliability of the data in the paper. Therefore, he would like to withdraw his authorship of this particular article or withdraw this article entirely. The editorial office forwarded the letter to the other authors to collect comments, and the first author completely denied the co-corresponding author＇s claim of unawareness of authorship by providing archived emails between them. Setting aside what really happened 13 years ago, in this case, it may be interpreted that either this cocorresponding author himself is announcing his honorary authorship （either by passively being added to the byline or actively accepting the offer） in this article, or is trying to avoid taking （potential） responsibility regarding the research content by using honorary authorship as a defense. Meanwhile, the first author has been accused of offering honorary authorship to a senior researcher.
文摘DEAR EDITOR： We read the publication by Liu （2016） on authorship misconduct with a great interest. In fact, the authorship misconduct is no uncommon and has to be managed, Liu （2016） noted that ＂Proper authorship embodies honesty, integrity, fairness and transparency, which surely are the very essence of any scientific pursuit.＂ Due to the present requirement on academic publication to support academic rank, several forms of authorship misconduct can be seen. Of interest,
文摘The paper is focused on the cultural consequences of a new technological opportunity in mass communication. The Internet has given two billion people a technical means of authorship. It is a real explosion of authorship： In all previous history of mankind there, probably, have been about 200-300 million authors. The emancipation of authorship explains （better than technological innovations） all other changes in the public life, connected with the new communicative environment. The new environment, in which any person from the audience can be an author, develops its own mechanism for creating public significance. The paper describes the structure and functioning of this mechanism, named the Viral Editor, as a ubiquitous and dispersed creature of the Internet which consists of people-users who all now have gotten rights to compose, edit and spread any facts and opinions in any form and shape.
文摘Female writers have always been in an inferior status to male writers in the early age. This situation does greatharm to many female writers both physically and psychologically, which can also be fully displayed in their works.Jane Eyre is a feminist canon written by Charlotte Bronte. As an autobiographical novel, Jane Eyre contains thedilemma and the anxiety of the authorship of female writers in 19th century. Those could be mainly embodied bythe masculine pseudonym and dual writing strategy, the portrayal of heroine Jane, and another important femalecharacter Bertha.
文摘Yasunari Kawabata was a famous Japanese novelist and the winner of the 1968 Nobel Prize for Literature. However, considerable debate has persisted concerning the authorship of one of his novels, The Sound of the Mountain, with some claiming that it was in fact written by another celebrated author, Yukio Mishima. In this research, we attempt to resolve this issue by applying character bigrams, part-of-speech bigrams, and phrase patterns as stylometric features, and principal component analysis, hierarchical cluster analysis, and random forests as authorship attribution methods. As a result, we obtained compelling evidence to show that Yukio Mishima was not the author of The Sound of the Mountain.
文摘Singular authorship of＂The Tale of Genji,＂ which is the greatest accomplishment in classical Japanese literature, is doubtful In this study, we statistically analyze whether the author of Uji Jujo, which comprises the last ten chapters of the ＂Tale of Ganji,＂ is same as that of other chapters by using statistical analyses such as principal component analysis and random forests. The result of the analyses of word frequency shows that there is no obvious difference in word usage between the ten chapters and others. Thus, we conclude that it is highly possible that the chapters＇ author is same as that of others.
文摘Digitization process,while provoking ontological crises and fueling debates over disciplinary discourses,has simultaneously become a methodological framework and a generative force for reshaping the nature of knowledge production and the writing of history.This paper examines the diverse practices emerging in the digitization of art history,encompassing database migration,computationally assisted analyses,the mobility of texts and discourses,and the algorithmic rewriting and AI generation that increasingly shape scholarly production.As digital processes generate vast amounts of detail while simultaneously fragmenting discourse through algorithmic operations,they challenge long-standing scholarly hierarchies and established structures of authority.This study employs the concept of“copy”as a metaphorical cue to explore the critical necessity of reconfiguring authenticity and subjectivity in the history of digital art.By redefining who has the right to write,who holds epistemic authority in the digital paradigm,how narratives are constructed and reconstructed,and through what mechanisms knowledge is produced,disseminated,and legitimized,this paper argues that digital art history is gradually distancing itself from historiographical traditions.Ultimately,the entanglement of human and non-human agents ranging from scholars and institutions to algorithms and data infrastructures will fundamentally reconfigure negotiations surrounding art,media,technology,and information.
文摘Ocular biological characteristics and refractive errors in children with unilateral congenital ptosis Yu-Ying Sun,Bing-Ying Lin,Zhen Mao,Xuan-Wei Liang,Cui-Yu Zhang,Dan-Ping Huang,Yao Ni,Zuo-Hong Li Int J Ophthalmol 2025;18(4):691-698.DOI:10.18240/ijo.2025.04.16 The author requests to change the authorship and affiliations as follows.
基金This work was supported by the National Natural Science Foundation of China under Grant Nos. 61272275, 61232002, 61272110, 61202036, 61379004, 61472337, and 61028003, and the 111 Project of China under Grant No. B07037.
文摘Authorship attribution, also known as authorship classification, is the problem of identifying the authors （reviewers） of a set of documents （reviews）. The common approach is to build a classifier using supervised learning. This approach has several issues which hurts its applicability. First, supervised learning needs a large set of documents from each author to serve as the training data. This can be difficult in practice. For example, in the online review domain, most reviewers （authors） only write a few reviews, which are not enough to serve as the training data. Second, the learned classifier cannot be applied to authors whose documents have not been used in training. In this article, we propose a novel solution to deal with the two problems. The core idea is that instead of learning in the original document space, we transform it to a similarity space. In the similarity space, the learning is able to naturally tackle the issues. Our experiment results based on online reviews and reviewers show that the proposed method outperforms the state-of-the-art supervised and unsupervised baseline methods significantly.
文摘We examine the association between network centrality and research using the accounting research community setting.We establish co-authorship network using papers published in the five top accounting journals from 1980 to 2016.We find that the co-authorship network in accounting is a“small world”with some most connected authors playing a key role in connecting others.We use machine learning to label published papers with multiple topics and find patterns in topics over time.More importantly,we find that co-authorship network centrality is positively associated with future research productivity and topic innovation and that the impact of centrality on productivity is higher with more senior authors.Further,centrality of an author’s co-authors also has an incrementally positive impact.We conclude that network centrality positively influences research output.
