Trust in Government during COVID-19 Pandemic in Bangladesh: An Analysis of Social Media Users' Perception of Misinformation and Knowledge about Government Measures
被引:5
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Islam, Md Shahriar
[1
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Mahmud, Rifat
[2
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Ahmed, Bulbul
[3
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[1] Binghamton Univ, Coll Community & Publ Affairs, Binghamton, NY 13902 USA
The study aims to understand social media users' trust in government during the early phase of the COVID-19 pandemic in Bangladesh. Social Media Users' trust in government is analyzed based on their perceived misinformation and knowledge about government measures taken to deal with the pandemic at that earlier stage. The study found that social media users who perceive a lesser amount of misinformation have a higher knowledge of government measures. Consequently, more knowledge about those measures predicts a higher level of trust in government. The study also demonstrates that a higher level of trust in government can help people secure more knowledge about government measures amidst misinformation. The results suggest that predisposition to trust based on government performance evaluation, individual and societal level values and beliefs, and culture of trusting institutions could play a pivotal role in determining how people perceive misinformation and knowledge about government measures.
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Shanghai Int Studies Univ, Sch Business & Management, Shanghai, Peoples R ChinaShanghai Int Studies Univ, Sch Business & Management, Shanghai, Peoples R China
Luo, Lijuan
Duan, Siqi
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Shanghai Int Studies Univ, Sch Business & Management, Shanghai, Peoples R ChinaShanghai Int Studies Univ, Sch Business & Management, Shanghai, Peoples R China
Duan, Siqi
Shang, Shanshan
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Shanghai Int Studies Univ, Sch Business & Management, Shanghai, Peoples R ChinaShanghai Int Studies Univ, Sch Business & Management, Shanghai, Peoples R China
Shang, Shanshan
Lyu, Wenfei
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Shanghai Int Studies Univ, Sch Business & Management, Shanghai, Peoples R ChinaShanghai Int Studies Univ, Sch Business & Management, Shanghai, Peoples R China
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Xian Jiaotong Liverpool Univ, Dept Media & Commun, Suzhou, Peoples R ChinaXian Jiaotong Liverpool Univ, Dept Media & Commun, Suzhou, Peoples R China
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Univ New South Wales, Sch Aviat, Transport & Rd Safety TARS Res Ctr, Sydney, NSW, Australia
Univ Sydney, Sch Hlth Sci, Charles Perkins Ctr, Sydney, AustraliaUniv New South Wales, Sch Aviat, Transport & Rd Safety TARS Res Ctr, Sydney, NSW, Australia
Biswas, Raaj Kishore
Afiaz, Awan
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Univ Dhaka, Inst Stat Res & Training, Dhaka, Bangladesh
Univ Washington, Dept Biostat, Seattle, WA USAUniv New South Wales, Sch Aviat, Transport & Rd Safety TARS Res Ctr, Sydney, NSW, Australia
Afiaz, Awan
Huq, Samin
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Child Hlth Res Fdn, Dhaka, Bangladesh
Global Hlth Workforce Network Youth Hub, Geneva, SwitzerlandUniv New South Wales, Sch Aviat, Transport & Rd Safety TARS Res Ctr, Sydney, NSW, Australia
Huq, Samin
Farzana, Maysha
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Univ Dhaka, Dept Sociol, Dhaka, BangladeshUniv New South Wales, Sch Aviat, Transport & Rd Safety TARS Res Ctr, Sydney, NSW, Australia
Farzana, Maysha
Kabir, Enamul
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Univ Southern Queensland, Sch Math Phys & Comp, Toowoomba, Qld, AustraliaUniv New South Wales, Sch Aviat, Transport & Rd Safety TARS Res Ctr, Sydney, NSW, Australia
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Univ Oklahoma, Ctr Appl Social Res, Debiasing & Lay Informat DaLI Lab, Norman, OK USAUniv Oklahoma, Ctr Appl Social Res, Debiasing & Lay Informat DaLI Lab, Norman, OK USA
Jeong, Jae-Seon
Kim, Soo Yun
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Univ Texas Rio Grande Valley, Dept Commun, Edinburg, TX USA
Univ Texas Rio Grande Valley, Dept Commun, 1201 Univ Dr, Edinburg, TX 78539 USAUniv Oklahoma, Ctr Appl Social Res, Debiasing & Lay Informat DaLI Lab, Norman, OK USA