False data published by a psychologist influence policies for
treating the mentally retarded. A Nobel Prize-winning molecular
biologist resigns the presidency of Rockefeller University in the
wake of ...a scandal involving a co-author accused of fabricating
data. A university investigating committee declares that almost
half the published articles of a promising young radiologist are
fraudulent. Incidents like these strike at the heart of the
scientific enterprise and shake the confidence of a society
accustomed to thinking of scientists as selfless seekers of truth.
Marcel LaFollette's long-awaited book gives a penetrating
examination of the world of scientific publishing in which such
incidents of misconduct take place. Because influential scientific
journals have been involved in the controversies, LaFollette
focuses on the fragile "peer review" process-the editorial system
of seeking pre-publication opinions from experts. She addresses the
cultural glorification of science, which, combined with a
scientist's thirst for achievement, can seem to make cheating worth
the danger. She describes the great risks taken by the
accusers-often scholars of less prestige and power than the
accused-whom she calls "nemesis figures" for their relentless
dedication to uncovering dishonesty. In sober warning, LaFollette
notes that impatient calls from Congress, journalists, and
taxpayers for greater accountability from scientists have important
implications for the entire system of scientific research and
communication. Provocative and learned, Stealing Into
Print is certain to become the authoritative work on
scientific fraud, invaluable to the scientific community, policy
makers, and the general public.
The use of artificial intelligence in academia is a hot topic in the education field. ChatGPT is an AI tool that offers a range of benefits, including increased student engagement, collaboration, and ...accessibility. However, is also raises concerns regarding academic honesty and plagiarism. This paper examines the opportunities and challenges of using ChatGPT in higher education, and discusses the potential risks and rewards of these tools. The paper also considers the difficulties of detecting and preventing academic dishonesty, and suggests strategies that universities can adopt to ensure ethical and responsible use of these tools. These strategies include developing policies and procedures, providing training and support, and using various methods to detect and prevent cheating. The paper concludes that while the use of AI in higher education presents both opportunities and challenges, universities can effectively address these concerns by taking a proactive and ethical approach to the use of these tools.
There is no doubt that plagiarism has become a growing ethical dilemma which hits the scientific research world and publishing. Recent studies have shown a considerable concern about the issue to ...gain a deep insight into the phenomenon, understand its roots and find solutions to prevent or at least minimize its spread. The Algerian legislator has realised that plagiarism is a plague that tarnishes the reputation of Algerian universities worldwide therefore finding the ways to deter it becomes a necessity. In a move to fight against this phenomenon, legal measures have been taken into action. Those measures presented in the ministerial resolution n°933 and 1082 equate plagiarism to criminal and immoral behaviour and set preventive and punitive regulations to ensure integrity in academia. The research in hand aims at investigating the issue of plagiarism from a legal perspective. It sheds light on analysing the legal measures taken by the Algerian authorities to deter plagiarism and assessing their efficacy in reality. The study shows the multidimensionality of the phenomenon therefore it recommends a myriad of approaches to deter it.
One of the main goals of assignments in the academic environment is to assess the students’ knowledge and mastery of a specific topic, and it is crucial to ensure that the work is original and has ...been solely made by the students to assess their competence acquisition. Therefore, Text-Matching Software Products (TMSPs) are used by academic institutes to ensure academic integrity and address plagiarism. However, some students find ways to trick TMSP
S
. In this paper, files with the common tricks students do to beat TMSP
S
have been created and investigates with nine academic level TMP
S
to evaluate their effectiveness against these tricks, identifying the strengths and weaknesses of each TMSP, and providing instructors with some practical tips on checking plagiarism effectively and spotting any tricks to cheat without getting noticed.
La tesi di laurea può costituire, metaforicamente, e antropologicamente parlando, un 'rito di passaggio', giacché segna il passaggio dalla condizione di studente alla condizione di laureato. Si ...tratta di un lavoro scritto: una sorta di tema, concordato con il proprio relatore, che il laureando realizza e discute al termine di un ciclo di studi universitari. La stesura del documento è, di solito, colma di ostacoli, dovuti – in linea di massima – al fatto che mai prima si è affrontato un tale compito e, pertanto, richiede la massima attenzione per non incappare, peraltro, più o meno intenzionalmente, in situazioni che possono configurare la violazione della proprietà intellettuale di un soggetto terzo. In virtù di ciò, il presente contributo si propone un obiettivo sostanzialmente pragmatico, giacché intende offrire indicazioni metodologiche per la compilazione della tesi di laurea, evitando di incorrere in circostanze riguardanti il plagio. La biblioteca universitaria, da questo punto di vista, svolge una funzione pedagogica dirimente poiché non si limita a fornire solo i documenti, ma contribuisce ad ampliare i confini della formazione civica e sociale, legale e culturale dei laureandi.
•Proposing a fusion approach for retrieving candidates in cross-lingual plagiarism detection that combines a conceptual-based and keyword-based retrieval models.•Providing a dynamic fusion measure ...that presents a specific interpolation factor for each sample of suspicious documents.•Comprehensive assessment of the performance of conceptual models, especially the ESA model in the retrieval of candidates for cross-language plagiarism.•Study the impact of using peak-and-plateau strategy as post processing on the output of the proposed retrieval model.•Comparing the performance of the proposed model with the state-of-the-art approaches in cross-lingual candidate retrieval.
Due to the rapid growth of documents and manuscripts in various languages all over the world, plagiarism detection has become a challenging task, especially for cross lingual cases. Because of this issue, in today's plagiarism detection systems, a candidate retrieval process is developed as the first step, in order to reduce the set of documents for comparison to a reasonable number. The performance of the second step of plagiarism detection, which is devoted to a detailed analysis of the candidates is tightly dependent on the candidate retrieval phase. Regarding its high importance, the present study focuses on the candidate retrieval task and aims to extract the minimal set of highly potential source documents, accurately. The paper proposes a fusion of concept-based and keyword-based retrieval models for this purpose. A dynamic interpolation factor is used in the proposed scheme in order to combine the results of conceptual and bag-of-words models. The effectiveness of the proposed model for cross language candidate retrieval is also compared with state-of-the-art models over German-English and Spanish-English language partitions. The results show that the proposed candidate retrieval model outperforms the state-of-the-art models and can be considered as a proper choice to be embedded in cross-language plagiarism detection systems.
All papers published in this volume of IOP Conference Series: Materials Science and Engineering have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert ...referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single-blind • Conference submission management system: Not Applicable • Number of submissions received: 45 • Number of submissions sent for review: 45 • Number of submissions accepted: 39 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 87% • Average number of reviews per paper: 1 • Total number of reviewers involved: 17 • Any additional info on review process: 1. First we have checked the plagiarism of each paper by turnit software subscribed by NIT Raipur. Above 20% similarity papers, have been return to authors to reduce to less than 20%. 2. After plagiarism papers were sent to various reviewers. 3. Reviewer’s comments and editorials suggestions were sent to authors for revision. 4. Revised manuscripts were checked by editor. On the basis of response to the reviewers comments papers were accepted/rejected. 5. Please note that 39 papers were accepted for publication out of 45 received. • Contact person for queries: Dr. Ayush Khare akhare.phy@nitrr.ac.in
All papers published in this volume of IOP Conference Series: Materials Science and Engineering have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert ...referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Double-blind • Describe criteria used by Reviewers when accepting/declining papers. Was there the opportunity to resubmit articles after revisions? The criteria used for review process are: Organization of the paper Originality/Novelty Relevance to the Field(s) of Conference Technical quality of the paper Clarity of Presentation Yes, based on the review comments the paper should be revised before submitting the final manuscript. • Conference submission management system: Easy-chair • Number of submissions received: 53 • Number of submissions sent for review: 50 • Number of submissions accepted:25 • Acceptance Rate (Number of Submissions Accepted/Number of Submissions Received X 100):47.16 • Average number of reviews per paper: 02 • Total number of reviewers involved:35 • Any additional info on review process (ie plagiarism check system): Turnitin Plagiarism Tool • Contact person for queries: Dr. Gururaj H L (gururaj1711@vvce.ac.in)
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