Assessing the Quality and Screening Ethical Issues in Peer-Review Comments
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
2023
Typ der Arbeit
Master
Studiengang
Sammlung
Typ
11 - Studentische Arbeit
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Themenheft
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Reihe / Serie
Reihennummer
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Ausgabe / Nummer
Seiten / Dauer
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Verlag / Herausgebende Institution
Hochschule für Wirtschaft FHNW
Verlagsort / Veranstaltungsort
Olten
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
Peer-review is a cornerstone of modern scholarly communication. It is a process that relies on the voluntary work of researchers to evaluate the manuscripts authored by their peers. However, poor quality reports, misconduct, fraud, bias and other ethical issues are a growing concern. This is witnessed by an increasing number of post-publication retractions of papers in recent years, largely fueled by the uncovering of large paper mills. Several computational approaches have been previously proposed to
support editors and publishers in assessing the quality of peer-review reports. Further, several studies have shown that state-of-the-art natural language processing (NLP) methods can be used to extract certain features, including politeness or social biases, from texts. However, the literature is often focused solely on the technical aspects of the proposed approaches and lacks the inclusion of business requirements and the human operators, i.e., the editors and publishers. The study thus aimed to address this gap by establishing the requirements and design principles for an effective information system that supports editors and publishers in screening and assessing peer-review reports on a large scale.
Schlagwörter
Fachgebiet (DDC)
Veranstaltung
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Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Begutachtung
Open Access-Status
Lizenz
Zitation
Rordorf, D. (2023). Assessing the Quality and Screening Ethical Issues in Peer-Review Comments [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/48855