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The current study aims to identify research trends in papers published in Multimedia-Assisted Language Learning (MALL). To this end, the bibliographic information on 567 papers published from 2002 to 2021 is analyzed using network visualization analysis. The results find that MALL has published about 28 papers per year during the period; however, it has published more papers than average to respond to social and educational issues promptly. According to the network visualization analysis based on keyword and term extraction, it is revealed that MALL has focused on publishing papers related to the terms ‘blended learning’, ‘elementary school’, and ‘korean university’ over the past 20 years. In addition, the cluster analysis confirms that the research topics that have been discussed in MALL are as follows: blended learning, elementary school learners with writing ability, computer-based language (education), and English education. The results of the timeline view analysis on clusters, compared to its earlier papers, find that published papers in MALL tend to research multiple topics across clusters. The burst terms analysis reveals that blended learning, elementary level, and Korean college topics were burst terms during certain periods. The suggestions and implications of the findings are also discussed.