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.
Wikipedia does not have to be truthful, but it is important that the information must be confirmed by reliable sources. The last issue of the Wikimedia Research Showcase in outgoing 2020 was devoted to the problem of disinformation and the reliability of Wikipedia sources.
One of the most important factors impacting quality of content in Wikipedia is presence of reliable sources. By following references, readers can verify facts or find more details about described topic. A Wikipedia article can be edited independently in any of over 300 languages, even by anonymous users, therefore information about the same topic may ...
This scientific work presents different approaches to investigate the possible relationships between the largest crowd-based knowledge source and the market potential of particular cryptocurrencies.
This article presents an overview of scientific works related to quality assessment of Wikipedia in different languages. Despite the fact that Wikipedia is often criticized for its poor quality, it still is one of the most popular knowledge bases in the world. Currently, this online encyclopedia is on the 5th place in the ranking of ...
This article presents and classifies features that can be extracted from Wikipedia articles for the purpose of automatic information quality assessment. Based on a state of the art analysis and our own experiments, specific measures for various aspects of quality have been defined.
The use of the logistic regression in the assessment of the quality of data may have a significant impact on data management in the era of big data, where we are all dealing with a number of variables and amount of information describing some interesting phenomenon or behaviour.
In the special issue “Quality Management in Big Data” of the Informatics journal, paper about relative quality and popularity assessment of over 28 million Wikipedia articles in 44 different language versions was published. The article is published on an open access basis.