Automatic quality assessment of articles in multilingual Wikipedia and identification of its important information sources on various topics

An open scientific seminar of the Institute of Informatics and Quantitative Economics on automatic quality assessment of articles in multilingual Wikipedia and identification of important sources of its information on various topics was held at the Poznań University of Economics and Business. During the seminar, the methods and tools used to analyze and evaluate content ...

Quantifying Americanization: A comparative analysis of information in Wikipedia

The research paper entitled “Quantifying Americanization: Coverage of American Topics in Different Wikipedias” was published in the Social Science Computer Review journal. This is the first quantitative study that confirms various theories about Americanization and related phenomena often discussed in scientific literature.

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 ...

Guinness World Record for the longest time editing Wikipedia

The Polish Wikipedia community enthusiastically celebrated the website’s 22nd anniversary by taking on an extraordinary challenge – breaking the Guinness record for the longest joint editing of Wikipedia in the world. The ambitious goal was achieved on September 26-30, 2023 – uninterrupted Wikipedia editing for 100 hours. The event was organized by the Wikimedia Polska ...

Seminar on Wikipedia quality at Tufts University

The beginning of the academic year in the United States coincided with a seminar at Tufts University on the automation of the process of assessing the quality of Wikipedia articles and its information sources in various language versions. The event took place on September 7, 2023 at the Joyce Cummings Center (JCC). This is the ...

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.
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