Earlier in 2020 a knowledge management project was initiated with the aim of organizational performance improvement at a service company. A maturity model was applied for the gap analysis and a systematic literature review was conducted to shape the project. As the COVID-19 grew to a global scale, the aim of the project has shifted into ensuring the business continuity of the case company. Without major changes the project was carried out. At the end it was observed the company not only operated without being affected from the pandemic situation but also improved their organizational performance as aimed initially.

In recent years, the spread of disinformation, which is one of the kind of information pollution, has accelerated on online social media platforms, and detecting disinformation early has become significant to be able to remove the negative impact it has on individuals and societies. In this direction, increased number of studies focusing on the automatic detection of disinformation and the variety of approaches developed have been observed in recent years, and the need to study the trends in the studies carried out in detail has emerged. This research seeks to present a map of the research area for the automatic detection of disinformation. In this context, 61 primary sources published in the electronic databases named Web of Science and Scopus between 2018-2022 included in the research scope have been examined and analyzed within the framework of the determined criteria. The conducted systematic mapping study aims to provide useful insights about automatic detection of disinformation including publication year, journal, journal class and publisher name, country of origin of the authors, most prolific authors and institutions, keywords used, supported approaches, obtained accuracy rates and datasets used. It is expected that this research will guide/direct researchers about the approaches developed for the detection of disinformation and contribute to future studies.