Public Trust in the Time of Pandemic: An Analysis of Social Networks in the Discourse of Large-Scale Social Restrictions in Indonesia

Caroline Paskarina ()
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Caroline Paskarina: Department of Political Science, Faculty of Social and Political Sciences, Universitas Padjadjaran, Jatinangor 45363, Indonesia

Social Sciences, 2023, vol. 12, issue 3, 1-14

Abstract: This article discusses public trust in the Indonesian government’s response to the COVID-19 pandemic, explicitly focusing on the discourse surrounding large-scale social restrictions (LSSR). In a time of uncertainty, the public requires timely and actual information, most of which is gathered through online media, with Twitter being one such medium. This article applies social network analysis to examine how information about the restrictions is shared and discussed on social media platforms and how this discourse may impact public trust in government institutions in the first phase of pandemic handling. Although LSSR is the government’s policy, this study shows that the interpersonal network plays a more significant part in distributing information, indicating a legitimacy crisis of formal and authoritative sources of information. The negative sentiment voiced by critics did not show public rejection of the implementation of LSSR. On the contrary, what was implied by those critics was public doubt against the consistency and firmness of LSSR implementation—because of this, restoring public trust requires planned information management to communicate risks to those who are affected by LSSR implementation, as well as managing negative sentiments that arise as a response.

Keywords: pandemic; social network analysis; trust (search for similar items in EconPapers)
JEL-codes: A B N P Y80 Z00 (search for similar items in EconPapers)
Date: 2023
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