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Develop a comprehensive framework for assessing the knowledge organization systems (KOSs), including the taxonomy of Wikipedia and the ontologies of Wikidata, with a specific focus on enhancing management and retrieval with a gender nonbinary perspective.

This study employs heuristic and inspection methods to assess Wikipedia’s KOS, ensuring compliance with international standards. It evaluates the efficiency of retrieving non-masculine gender-related articles using the Catalan Wikipedian category scheme, identifying limitations. Additionally, a novel assessment of Wikidata ontologies examines their structure and coverage of gender-related properties, comparing them to Wikipedia’s taxonomy for advantages and enhancements.

This study evaluates Wikipedia’s taxonomy and Wikidata’s ontologies, establishing evaluation criteria for gender-based categorization and exploring their structural effectiveness. The evaluation process suggests that Wikidata ontologies may offer a viable solution to address Wikipedia’s categorization challenges.

The assessment of Wikipedia categories (taxonomy) based on KOS standards leads to the conclusion that there is ample room for improvement, not only in matters concerning gender identity but also in the overall KOS to enhance search and retrieval for users. These findings bear relevance for the design of tools to support information retrieval on knowledge-rich websites, as they assist users in exploring topics and concepts.

Wikipedia's inclusive editorial policy permits unrestricted participation, enabling individuals to contribute and disseminate their expertise while drawing upon a multitude of external sources. News media outlets constitute nearly one-third of all citations within Wikipedia. However, embracing such a radically open approach also poses the challenge of the potential introduction of biased content or viewpoints into Wikipedia. The authors conduct an investigation into the integrity of knowledge within Wikipedia, focusing on the dimensions of source political polarization and trustworthiness. Specifically, the authors delve into the conceivable presence of political polarization within the news media citations on Wikipedia, identify the factors that may influence such polarization within the Wikipedia ecosystem and scrutinize the correlation between political polarization in news media sources and the factual reliability of Wikipedia's content.

The authors conduct a descriptive and regression analysis, relying on Wikipedia Citations, a large-scale open dataset of nearly 30 million citations from English Wikipedia. Additionally, this dataset has been augmented with information obtained from the Media Bias Monitor (MBM) and the Media Bias Fact Check (MBFC).

The authors find a moderate yet significant liberal bias in the choice of news media sources across Wikipedia. Furthermore, the authors show that this effect persists when accounting for the factual reliability of the news media.

The results contribute to Wikipedia’s knowledge integrity agenda in suggesting that a systematic effort would help to better map potential biases in Wikipedia and find means to strengthen its neutral point of view policy.

This study aims to analyse how first-year undergraduate audiovisual communication students assess the credibility and reliability of information on Wikipedia in Basque and analyse whether the experience of being a Wikipedia editor helps to improve students’ perceptions of Wikipedia’s trustworthiness. The purpose of this project was to help students to better understand the credibility mechanisms of Wikipedia in Basque regarding the work of editing and creating entries. Do students’ perceptions about how reliable Wikipedia is change if they receive training as Wikipedia content editors and understand Wikipedia’s credibility mechanisms? What are their perceptions about the credibility of Wikipedia?

The authors observed and analysed students’ behaviour and perceptions when creating Wikipedia articles and learning about the process of evaluating Wikipedia. This research was carried out at [masked for review] over four consecutive years, where 188 students in the Degree Programme in Audiovisual Communication participated through a questionnaire and in-depth interviews.

After the experience of creating content on Wikipedia and learning about Wikipedia’s credibility mechanisms experientially, the majority of students reported that their perception of Wikipedia’s credibility had increased, and 70% of students believed Wikipedia to be reliable or more reliable than expected. A smaller number of students stated that understanding Wikipedia’s editing processes decreased their perception of Wikipedia’s credibility.

This project will lead to a better understanding of the performance of students in editing content on Wikipedia and of the impact that this editing experience has on students’ perceptions of credibility with respect to Wikipedia. It will make it possible to better incorporate Wikipedia content editing into the learning processes of students and citizens. This study provides interesting keys to improving the reliability and credibility of Wikipedia among students.

As the study examined Basque Wikipedia, it has important social implications since Basque is a minority language and Wikipedia is the main sources of information for students who study in Basque.

The authors have been analysing the credibility of information in general and that of information on Wikipedia in particular since 2010. Based on this experience, the authors decided to design this study so that it was carried out while the students were creating and editing Wikipedia content as part of a project in their educational curriculum. Furthermore, the study expands the body of research carried out to date by incorporating the perspectives of media studies students.

In this study, the authors look at the case of Ferdinand Marcos, President of the Philippines between 1965 and 1986. Documenting the life and career of Marcos on Wikipedia provides an excellent example of the pitfalls confronting those seeking to address disinformation without first reflecting deeply on the reasons why people subscribe to views deemed outlandish by the intellectual or cultural mainstream.

The authors sampled the version of the Marcos article on Wikipedia as it existed after the first edit of each year since its inception (2002). This resulted in 22 texts for analysis. Content and thematic analyses were conducted on these texts as well as on the entire body of talk page comments for the article.

The authors' work suggests that the basic elements of responsible encyclopedic writing have prevailed in the case of Wikipedia's biography of Marcos. However, this is not an unalloyed victory, as issues of polarization remain unaddressed.

Underlying revisionist or distorted claims about Ferdinand Marcos (and other controversial topics) lie very real grievances that give these claims traction for many people. Hence, it is not enough to “just present the facts” to readers. Rather, the authors argue that what is needed is a synthesis of positions that would allow for common ground to be found between them. This could be done in the case of Wikipedia by cultivating editors who are capable and willing to engage with the subject literature in a deeper and richer fashion.

The main objective of this study is to evaluate the impact of Persian Scientific Papers (PSPs) on Persian Wikipedia by studying Wikipedia's citations to these papers.

The present study is applied research, which has been performed by the web-mining method, such as downloading web pages, extracting information (references), identifying papers, detecting peer-review journals and calculating the frequency rates. The statistical population included 10,000 Persian Wikipedia Pages (PWPs) that were analyzed in two rounds with a six-month interval.

The number of pages containing the Persian references section was 3,994 and 4,063 out of the 10,000 pages extracted in the first and second rounds. The ratio of pages that cited scientific sources (58 and 67 pages) to the pages extracted from the PWP was equal to 0.58 and 0.67%. The ratio of pages that cited scientific sources to pages with Persian references in each round was equal to 1.45 and 1.64%. The number of references extracted from the PWP in each round equaled 30,441 and 35,891. Eight titles from reputable Persian journals had received at least three citations from Wikipedia.

The present study has determined the extent of interaction between science and society (knowledge flow) in the form of citations from Wikipedia articles to articles in peer-reviewed journals. The study of this issue in Persian Wikipedia in more than 2000 Persian peer-reviewed journals shows the originality of the present paper. Studying citation reliability in a collaborative and openly editable platform is another originality of the work.

The purpose of this paper is to explore the potential benefits and challenges of using large language models (LLMs) like ChatGPT to edit Wikipedia.

The first portion of this paper provides background about Wikipedia and LLMs, explicating briefly how each works. The paper's second section then explores both the ways that LLMs can be used to make Wikipedia a stronger site and the challenges that these technologies pose to Wikipedia editors. The paper's final section explores the implications for information professionals.

This paper argues that LLMs can be used to proofread Wikipedia articles, outline potential articles and generate usable Wikitext. The pitfalls include the technology's potential to generate text that is plagiarized or violates copyright, its tendency to produce “original research” and its tendency to generate incorrect or biased information.

While there has been limited discussion among Wikipedia editors about the use of LLMs when editing the site, hardly any scholarship has been given to how these models can impact Wikipedia's development and quality. This paper thus aims to fill this gap in knowledge by examining both the potential benefits and pitfalls of using LLMs on Wikipedia.

The purpose of this paper is to investigate which learning targets can be achieved by using Wikipedia as a tool for teaching information literacy within the context of brief one-shot library instruction sessions.

In this case study, a Wikipedia-editing activity was incorporated into 2-hour one-shot instruction sessions. A variety of qualitative data were collected during these sessions: Student reflections during a facilitated discussion, student responses to exit-survey questions and instructor observations about the extent to which students completed Wikipedia-editing tasks.

Students found Wikipedia-editing activities and Wikipedia-related discussions engaging, and as a result they seemed to learn valuable lessons about research and writing. Students participating in this project effectively identified gaps in Wikipedia entries, critically evaluated and used sources to address those gaps and appropriately documented those materials. Students were easily encouraged to be critical about information sources, including Wikipedia and the more traditionally scholarly resources alike.

While a great deal of attention has been paid to teaching with multi-week Wikipedia assignments and coursework, evidence from this project suggests that Wikipedia-related activities can be used effectively within much narrower time constraints, including during brief one-shot library instruction sessions.

This paper seeks to provide reference librarians and faculty with evidence regarding the comprehensiveness and accuracy of Wikipedia articles compared with respected reference resources.

This content analysis evaluated nine Wikipedia articles against comparable articles in Encyclopaedia Britannica, The Dictionary of American History and American National Biography Online in order to compare Wikipedia's comprehensiveness and accuracy. The researcher used a modification of a stratified random sampling and a purposive sampling to identify a variety of historical entries and compared each text in terms of depth, accuracy, and detail.

The study did reveal inaccuracies in eight of the nine entries and exposed major flaws in at least two of the nine Wikipedia articles. Overall, Wikipedia's accuracy rate was 80 percent compared with 95‐96 percent accuracy within the other sources. This study does support the claim that Wikipedia is less reliable than other reference resources. Furthermore, the research found at least five unattributed direct quotations and verbatim text from other sources with no citations.

More research must be undertaken to analyze Wikipedia entries in other disciplines in order to judge the source's accuracy and overall quality. This paper also shows the need for analysis of Wikipedia articles' histories and editing process.

This research provides a methodology for further content analysis of Wikipedia articles.

Although generalizations cannot be made from this paper alone, the paper provides empirical data to support concerns regarding the accuracy and authoritativeness of Wikipedia.

This study aims to investigate how undergraduate students are influenced by instructors and peers in the ways that they use and think about Wikipedia for academic work. It examines the positive (encouraging the use of Wikipedia) and negative (discouraging the use of Wikipedia) influences of others and how these affect student behavior and attitudes.

Sixteen undergraduates participated in two meetings each with the principal investigator, each meeting consisting of a structured interview and a brief survey. Recorded interviews were analyzed by the investigator for patterns to compare participants’ responses.

Participants were more frequently and strongly influenced by instructors than by peers about Wikipedia, and this influence was for the most part perceived to be negative. However, the ways in which student behaviors and attitudes changed in response to this influence varied. Three categories or “influence types” emerged in the ways influence was manifested: receptive, independent and conflicted.

The findings of this study will aid instructors of undergraduate students by describing the likely reactions of those students to various ways of talking about Wikipedia. This information can help inform methods for teaching different kinds of students about the website.

Previous studies have shown how students use Wikipedia, as well as the attitudes of faculty toward Wikipedia. This study serves to bridge the gap between these areas, providing insight into how faculty and classmates’ attitudes influence student use of Wikipedia.

Wikipedia has the lofty goal of compiling all human knowledge. The purpose of the present study is to map the structure of the Traditional Chinese Medicine (TCM) knowledge domain on Wikipedia, to identify patterns of knowledge representation on Wikipedia and to test the applicability of author bibliographic coupling analysis, an effective method for mapping knowledge domains represented in published scholarly documents, for Wikipedia data.

We adapted and followed the well-established procedures and techniques for author bibliographic coupling analysis (ABCA). Instead of bibliographic data from a citation database, we used all articles on TCM downloaded from the English version of Wikipedia as our dataset. An author bibliographic coupling network was calculated and then factor analyzed using SPSS. Factor analysis results were visualized. Factors were labeled upon manual examination of articles that authors who load primarily in each factor have significantly contributed references to. Clear factors were interpreted as topics.

Seven TCM topic areas are represented on Wikipedia, among which Acupuncture-related practices, Falun Gong and Herbal Medicine attracted the most significant contributors to TCM. Acupuncture and Qi Gong have the most connections to the TCM knowledge domain and also serve as bridges for other topics to connect to the domain. Herbal medicine is weakly linked to and non-herbal medicine is isolated from the rest of the TCM knowledge domain. It appears that specific topics are represented well on Wikipedia but their conceptual connections are not. ABCA is effective for mapping knowledge domains on Wikipedia but document-based bibliographic coupling analysis is not.

Given the prominent position of Wikipedia for both information users and for researchers on knowledge organization and information retrieval, it is important to study how well knowledge is represented and structured on Wikipedia. Such studies appear largely missing although studies from different perspectives both about Wikipedia and using Wikipedia as data are abundant. Author bibliographic coupling analysis is effective for mapping knowledge domains represented in published scholarly documents but has never been applied to mapping knowledge domains represented on Wikipedia.