.... Design/methodology/approach Data were gathered through a two-wave online survey conducted in Taiwan during the COVID-19 pandemic. Analysis included lagged autoregressive path modeling for direct and mediation effects and ordinary least squares regression for moderation effects of perceived others...

... predispositions to moderate partisanship-driven resistance to COVID-19 falsehood corrections. Design/methodology/approach A Qualtrics sample of US adults (N = 454) was recruited to experimentally test the likelihood that fact-checker warning labels on a false post versus user-posted debunks...

... linking individuals' own exposure to misinformation on COVID-19 to their intentions to correct it. Design/methodology/approach A nationally representative survey was conducted with 1,000 Singaporeans and permanent residents. The proposed mechanism was tested using structural equation modeling...

... and vaccination coverage during COVID-19 in China, drawing on behavioral agenda-setting theory and considering the influence of online health information on real-world health behaviors. Design/methodology/approach We collected daily data on COVID-19 vaccine doses administered in China from April 13, 2021...

... and after the release of COVID-19 vaccines. Design/methodology/approach We compare two Twitter datasets comprising user accounts and associated English-language tweets featuring the keywords “#antivaxx” or “anti-vaxx.” The first dataset, from 2018 (pre-COVID vaccine), includes 3,154 user accounts...

...Joon Soo Lim; Chunsik Lee; Junga Kim; Jun Zhang Purpose This study uses third-person effect theory to examine the mechanisms of public opinion about self-regulatory efforts to deal with COVID-19 vaccine-related misinformation on social media, focusing on the roles of social undesirability...

... government during the COVID-19 pandemic as a case study, the investigation evaluates the government’s visual competency and strategy in its infographics on X. Design/methodology/approach For competence, AI-based techniques were employed to analyze the proportion of text region size to total infographic...

...Noel Nutsugah; Kobby Mensah; Raphael Odoom; Amin Ayarnah Purpose Social networking sites have become breeding grounds for the spread of fake news and misinformation. At the height of the Covid-19 pandemic, the spread of fake news intensified, causing complications for health communicators...

...Wenna Han; Hanna Lee; Yingjiao Xu; Yang Cheng Purpose The COVID-19 outbreak has been accompanied by a massive “infodemic”, characterized by an overabundance of information, both accurate and inaccurate, making it hard for people to find trustworthy sources and reliable guidance. This study aims...

...Mehmet Emin Bakir; Tracie Farrell; Kalina Bontcheva Purpose The authors investigate how COVID-19 has influenced the amount, type or topics of abuse that UK politicians receive when engaging with the public. Design/methodology/approach This work covers the first year of COVID-19 in the UK, from...

...Rujing Xin; Yi Jing Lim Purpose This study employs bibliometric analysis to map the research landscape of social media trending topics during the COVID-19 pandemic. The authors aim to offer a comprehensive review of the predominant research organisations and countries, key themes and favoured...

...Sanjana Arora; Jonas Debesay; Hande Eslen-Ziya Purpose The COVID-19 pandemic has resurfaced challenges to gender equality and gender relations both worldwide and in Norway. There have been massive public discussions on social media platforms, highlighting the potential of analysing public...

...Tal Laor Purpose The paper aims to explore, using an analysis of the three components of memes content, form and stance – whether and how the memes offer a broad picture of a specific society during the COVID-19 pandemic crisis. Design/methodology/approach The author collected, from the two...

... propagation of the coronavirus disease 2019 (COVID-19) pandemic. Design/methodology/approach This study undertook a literature review concerning the in-depth revision of previous studies published in 2020 and 2021. A total of 100 out of 170 selected research papers were adopted to identify and recognise...

...Xianlin Jin Purpose Guided by the Comprehensive Model of Information Seeking (CMIS), this article identifies significant predictors that impact individuals seeking COVID-19 information. People with different political ideologies read contradictory information about the COVID-19 pandemic. However...

...Gevisa La Rocca; Giovanni Boccia Artieri; Francesca Greco Purpose In this article, the authors analyse the impact of the 2020 lockdown and the subsequent measures to contain the spread of COVID-19 in Italy in the hospitality industry by looking at the social demands brought forward...

...Vimala Balakrishnan; Luqman Hakim Abdul Rahman; Jia Kai Tan; Yee Sin Lee Purpose This systematic review aims to synthesize the literature reporting the motives, sociodemographic, attitude/behavior and impacts of fake news during the COVID-19 pandemic, targeting the general population worldwide...

...Hoai Than Nguyen; Elaine Quintana Borazon Purpose The COVID-19 pandemic has disrupted various systems that drove people to adapt to certain technologies, such as electronic government services, for daily survival and to meet social distancing requirements. Therefore, this study aims to determine...

...Heejun Kim; Sanghee Oh Purpose This study investigated information needs on COVID-19 by identifying topics discussed on social questions and answers (Q&A) about daily routines, problems, and health issues for survival. A layered model of contexts for everyday life information seeking (ELIS...

...Essam Mansour; Ahmed Shehata; Abdelrahman Farrag Purpose The purpose of this study is to explore the information-seeking behavior of Egyptian physicians serving in COVID-19 isolation hospitals. Design/methodology/approach A sample of 91 physicians serving in Egyptian isolation hospitals...