Quality of content on Wikipedia and reliability of information sources

The latest issue of the ACADEMIA journal published an article that focuses on automating the process of assessing the quality of content in Wikipedia, an encyclopedia available in many languages. The publication draws attention to both the advantages and disadvantages of the open nature of Wikipedia, including differences in the systems for assessing the quality ...

Analysis of the use of scientific sources on Wikipedia depending on the topic and language

The paper entitled “Understanding the Use of Scientific References in Multilingual Wikipedia across Various Topics” was published in Elsevier’s Procedia Computer Science on ScienceDirect. As part of the scientific research, hundreds of millions of footnotes in Wikipedia articles from various language versions were analyzed to identify scientific sources of information. In addition, Wikipedia articles have ...

From science to practice: identifying important sources of information on Wikipedia

During the webinar, the possibilities of identifying and automatically assessing the significance of information sources of Wikipedia articles from different language versions were presented. As part of the practical part, some of the capabilities of the BestRef tool were shown, which contains information about the results of the evaluation of millions of Internet sources in ...

Assessment results of millions of information sources on Wikipedia

The principle of verifiability on Wikipedia mandates that all content must be verifiable by readers through reliable sources. Wikipedia insists on information being based on what has been previously reported in reputable publications, not the personal convictions or unpublished work of its contributors. If there are contrasting views from reliable sources, Wikipedia maintains an impartial ...

KES 2023 conference

During the international conference KES 2023 (27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems), research results on the use of scientific information sources in multilingual Wikipedia on various topics were presented. This year’s edition of the KES conference was organized in Athens (Greece) on September 6-8 in a hybrid mode.

Wikipedia quality assessment using AI & Big Data

On June 2, a webinar was held on automatic quality assessment of Wikipedia articles and information sources in different languages. Participants could move from the theoretical area of scientific research to concrete practice. It was a good opportunity to deepen knowledge in the field of information technology and understand how science combines with practical application.

Bibliometric analyses of Open Science

On April 18-19, the First Poznań Conference “Bibliometric analyses of Open Science” was held. During the conference, a presentation was given on the use of scientific publications and other important sources of information in Wikipedia articles in various language versions. The scientific research concerned the analysis of big data, which made it possible to understand ...

Important sources of Wikipedia information in various languages and topics

A scientific paper on the automatic identification of important sources of information on a certain topic in the multilingual Wikipedia based on the analysis of more than 230 million footnotes (references) has been published on the Elsevier publishing house website. As part of this research, various models of automatic assessment of information sources were presented, ...

Reliable sources of information about companies on Wikipedia

A research paper on the automatic identification of reliable sources of information about companies in multilingual Wikipedia has been published on the IEEE website. The information source assessment models presented in the research work can help Internet users find valuable sources of information about companies using open data from Wikipedia, Wikidata and DBpedia.

5th international conference ICOFEP

During the fifth edition of the international conference ICOFEP, the results of scientific research related to the identification of important sources of information on COVID-19 pandemic in multilingual Wikipedia through different month were presented.
Polski
English
Русский