Abstract
This study aims to identify shifts in the production of social media information content in the industrial world during the COVID-19 pandemic in Indonesia. Official government social media accounts during the COVID-19 pandemic era experienced significant changes in disseminating information. The research was conducted on the official account @KemenBUMN. Indonesia is a national government agency in charge of fostering and managing state-owned enterprises. This research method uses the Q-DAS approach (Qualitative Data Analysis Software) and NVivo 12. The data source for this research is the official account activity of @KemenBUMN, using NCapture from the Twitter social media activity of the Indonesian Ministry of State-Owned Enterprises. The results found in this study for the production of information content about industrial developments during the COVID-19 pandemic are quite consistent from 2021 to 2022. The amount of content produced during the COVID-19 pandemic was more than 20 tweets in one month for a year starting from March 2021 to March 2022. In the results of Wordcloud analysis, the most widely used keywords are “BUMN” and “Sobat BUMN.“ The dominant information submitted by the @KemenBUMN account is information about activities and developments from various fields managed by the Ministry of SOEs for one year. The ministry of state-owned enterprises is quite active in greeting their followers with the hashtags # SobatBUMN and #bumnuntukindonesia in each of their tweets strategy for disseminating information during the pandemic by mentioning MNC official accounts in Indonesia. This is evidenced by the widespread use of content with the hashtags #bumnuntukindonesia and #sobatBUMN aimed at partners. That the production of SOE information social media content does not focus on dealing with COVID-19.
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Nurfitriana, A., Sukmono, F.G., Sudiwijaya, E. (2022). Social Media Consistency Analysis Ministry of State-Owned Enterprises in Indonesia During the COVID-19 Pandemic. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2022 – Late Breaking Posters. HCII 2022. Communications in Computer and Information Science, vol 1655. Springer, Cham. https://doi.org/10.1007/978-3-031-19682-9_9
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