A Dynamic Analysis of Conspiratorial Narratives on Twitter During the Pandemic.

Since the breakout of COVID-19 in late 2019, various conspiracy theories have spread widely on social media and other channels, fueling misinformation about the origins of COVID-19 and the motives of those working to combat it. This study analyzes tweets (N = 313,088) collected over a 9-month period in 2020, which mention a set of well-known conspiracy theories about the role of Bill Gates during the pandemic. Using a topic modeling technique (i.e., Biterm Topic Model), this study identified ten salient topics surrounding Bill Gates on Twitter, and we further investigated the interactions between different topics using Granger causality tests. The results demonstrate that emotionally charged conspiratorial narratives are more likely to breed other conspiratorial narratives in the following days. The findings show that each conspiracy theory is not isolated by itself. Instead, they are highly dynamic and interwoven. This study presents new empirical insights into how conspiracy theories spread and interact during crises. Practical and theoretical implications are also discussed.

Cascading Crises: Society in the Age of COVID-19.

The tsunami of change triggered by the COVID-19 pandemic has transformed society in a series of cascading crises. Unlike disasters that are more temporarily and spatially bounded, the pandemic has continued to expand across time and space for over a year, leaving an unusually broad range of second-order and third-order harms in its wake. Globally, the unusual conditions of the pandemic-unlike other crises-have impacted almost every facet of our lives. The pandemic has deepened existing inequalities and created new vulnerabilities related to social isolation, incarceration, involuntary exclusion from the labor market, diminished economic opportunity, life-and-death risk in the workplace, and a host of emergent digital, emotional, and economic divides. In tandem, many less advantaged individuals and groups have suffered disproportionate hardship related to the pandemic in the form of fear and anxiety, exposure to misinformation, and the effects of the politicization of the crisis. Many of these phenomena will have a long tail that we are only beginning to understand. Nonetheless, the research also offers evidence of resilience on several fronts including nimble organizational response, emergent communication practices, spontaneous solidarity, and the power of hope. While we do not know what the post COVID-19 world will look like, the scholarship here tells us that the virus has not exhausted society's adaptive potential.

An Unequal Pandemic: Vulnerability and COVID-19.

This collection sheds light on the cascading crises engendered by COVID-19 on many aspects of society from the economic to the digital. This issue of the American Behavioral Scientist brings together scholarship examining the various ways in which many vulnerable populations are bearing a disproportionate share of the costs of COVID-19. As the articles bring to light, the unequal effects of the pandemic are reverberating along preexisting fault lines and creating new ones. In the economic realm, the rental market emerges during the pandemic as an economic arena of heightened socio-spatial and racial/ethnic disparities. Financial markets are another domain where market mechanisms mask the exploitative relationships between the economically vulnerable and powerful actors. Turning to gender inequalities, across national contexts, women represent an increasingly vulnerable segment of the labor market as the pandemic piles on new burdens of remote schooling and caregiving despite a variety of policy initiatives. Moving from the economic to the digital domain, we see how people with disabilities employ social media to mitigate increased vulnerability stemming from COVID-19. Finally, the key effects of digital vulnerability are heightened because the digitally disadvantaged experience not only informational inequalities but also aggravated bodily manifestations of stress or anxiety related to the pandemic. Each article contributes to our understanding of the larger mosaic of inequality that is being exacerbated by the pandemic. By drawing connections between these different aspects of the social world and the effects of COVID-19, this issue of American Behavioral Scientist advances our understanding of the far-reaching ramifications of the pandemic on vulnerable members of society.

The "Parallel Pandemic" in the Context of China: The Spread of Rumors and Rumor-Corrections During COVID-19 in Chinese Social Media.

Although studies have investigated cyber-rumoring previous to the pandemic, little research has been undertaken to study rumors and rumor-corrections during the COVID-19 (coronavirus disease 2019) pandemic. Drawing on prior studies about how online stories become viral, this study will fill that gap by investigating the retransmission of COVID-19 rumors and corrective messages on Sina Weibo, the largest and most popular microblogging site in China. This study examines the impact of rumor types, content attributes (including frames, emotion, and rationality), and source characteristics (including follower size and source identity) to show how they affect the likelihood of a COVID-19 rumor and its correction being shared. By exploring the retransmission of rumors and their corrections in Chinese social media, this study will not only advance scholarly understanding but also reveal how corrective messages can be crafted to debunk cyber-rumors in particular cultural contexts.

Tweeting badges: user motivations for displaying achievement in publicly networked environments.

Badge systems, a common mechanism for gamification on social media platforms, provide a way for users to present their knowledge or experience to others. This study aims to contribute to the understanding of why social media users publicize their achievements in the form of online badges. Five motivational factors for badge display in public networked environments are distinguished-self-efficacy, social incentives, networked support, passing time, and inattentive sharing-and it is suggested that different badge types are associated with different motivations. System developers are advised to consider these components in their designs, applying the elements most appropriate to the communities they serve. Comparing user motivations associated with badges shared across boundaries provides a better understanding of how online badges relate to the larger social media ecosystem.