Effects of Social Grooming on Incivility in COVID-19

Kim, Bumsoo

doi:10.1089/cyber.2020.0201

Cited by 58 publications

(58 citation statements)

References 33 publications

(41 reference statements)

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“…Due to panic buying, the demand for essential items further increased, which also disrupted the overall supply chain process of crucial goods (CNN, 2020). Therefore, in this situation, the anxiety of consumers aggravated, and they tilted more towards the impulse buying behavior (Kim 2020). Hence, the following hypothesis is framed based on literature:…”

Section: The Limited Supply Of Essential Goodsmentioning

confidence: 99%

“…Human purchase behavior is the outcome of acquiring information, attitudes and behaviors from other individuals in peerto-peer social interaction in the form of trends and fashions (De Veirman et al, 2017). Since companies attempt to rise to these challenges, they ascertain these changes consumer attitudes and behavior (Kim, 2020). These challenges are conditioned by 1) the companies response to the problem, and 2) changing customer habits and attitudes that will drive others (Bergel & Brock, 2019).…”

Section: Peers Buyingmentioning

confidence: 99%

See 1 more Smart Citation

The COVID-19 Pandemic and the Antecedants for the Impulse Buying Behavior of US Citizens

Ahmed¹,

Štreimikienė²,

Rolle³

et al. 2020

JOC

127

128

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In an analysis based on the theory of Fear, this study examines impulse purchase patterns during the COVID-19 Pandemic across major US urban centers. Data from 889 US consumers were collected from leading US cities to evaluate impulse buying behavior fluctuations using SEM-based multivariate approaches to examine the survey statistics. We used COVID-19 as a moderating variable of this impulse purchase behavior. The results confirmed that Fear of a complete lockdown, peers buying, scarcity of essential products on shelves, US stimulus checks, the limited supply of essential goods, and panic buying have had a compelling and affirmative influence on the sharp swings of impulse buying patterns. The findings further confirm that Fear Appeal and social media fake news have had a strong positive impact on impulse buying as mediating factors. Finally, it was concluded that COVID-19 is a significant moderating factor influencing the impulse buying behavior of US citizens. The practical implications suggest that marketers and brand managers should devise novel strategies to enhance their brand’s market share to attain a competitive advantage in COVID-19 or similar panic situations in the future. These research findings are essential to comprehend the sharp fluctuations of impulse buying patterns in the current cutthroat competition environment across the US and other parts of the world.

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Section: The Limited Supply Of Essential Goodsmentioning

confidence: 99%

Section: Peers Buyingmentioning

confidence: 99%

The COVID-19 Pandemic and the Antecedants for the Impulse Buying Behavior of US Citizens

Ahmed¹,

Štreimikienė²,

Rolle³

et al. 2020

JOC

127

128

View full text Add to dashboard Cite

show abstract

“…By employing more interpretable features, it becomes more straightforward to describe the social and communicative dynamics which underpin hate speech as it is used in context. This enables researchers to better understand not just which texts may be linked to hate speech, but also how they communicate hate, evolve in communities, and reinforce conflicts [3,33,47,50].…”

Section: Hate Speech On Social Media: From Classification To Charactementioning

confidence: 99%

“…In this work, we show how these methods can be reoriented toward the more situated task of characterizing hate speech in the concrete setting of understanding COVID-19 discourse [53]. Distinct studies have previously focused on the targeted nature of hate speech [2,32,33], its spread in communities [44,47], and the potential role of social bots [69,74]. Our work demonstrates a unified framework for viewing these phenomena as interlinked processes, thereby generating rich insights by examining their interplay.…”

Section: Integrative Approaches To Online Hate and Disinformationmentioning

confidence: 99%

Bots and online hate during the COVID-19 pandemic: case studies in the United States and the Philippines

Uyheng

Carley

2020

J Comput Soc Sc

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Online hate speech represents a serious problem exacerbated by the ongoing COVID-19 pandemic. Although often anchored in real-world social divisions, hate speech in cyberspace may also be fueled inorganically by inauthentic actors like social bots. This work presents and employs a methodological pipeline for assessing the links between hate speech and bot-driven activity through the lens of social cybersecurity. Using a combination of machine learning and network science tools, we empirically characterize Twitter conversations about the pandemic in the United States and the Philippines. Our integrated analysis reveals idiosyncratic relationships between bots and hate speech across datasets, highlighting different network dynamics of racially charged toxicity in the US and political conflicts in the Philippines. Most crucially, we discover that bot activity is linked to higher hate in both countries, especially in communities which are denser and more isolated from others. We discuss several insights for probing issues of online hate speech and coordinated disinformation, especially through a global approach to computational social science.

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“…As of April 20, 2020, already seven (7) papers on the topic of tracking and forecasting COVID-19 using Google Trends data have been published, according to PubMed (advanced search: covid AND google trends) [22], monitoring, analyzing, or forecasting COVID-19 in several regions like Taiwan [23], China [24][25], Europe [26][27], USA [27][28], Iran [27,29]. Note that for Twitter publications related to the COVID-19 pandemic, eight papers (8) are online up to this point (PubMed advanced search: covid AND twitter [22]), published from March 13 to April 20, 2020 [30][31][32][33][34][35][36][37]. Table 1 consists of the systematic reporting of COVID-19 Google Trends studies, in the order of the reported publication date.…”

Section: Cases Deathsmentioning

confidence: 99%

On the predictability of COVID-19 in USA: A Google Trends analysis

Mavragani¹,

Gillas²

2020

Preprint

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During the difficult times that the world is facing due to the COVID-19 pandemic that has already had severe consequences in all aspects of our lives, it is imperative to explore novel approaches of monitoring and forecasting the regional outbreaks as they happen or even before they do. In this paper, the first approach of exploring the role of Google query data in the predictability of COVID-19 in the US at both national and state level is presented. The results indicate that Google Trends correlate with COVID-19 data, while the estimated models exhibit strong predictability of COVID-19. In line with previous work that has argued on the value of online real-time data in the monitoring and forecasting epidemics and outbreaks, it is evident that such infodemiology approaches can assist public health policy makers, in order to address the most crucial issue; that of flattening the curve, allocating health resources, and increasing the effectiveness and preparedness of the respective health care systems.

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Effects of Social Grooming on Incivility in COVID-19

Cited by 58 publications

References 33 publications

The COVID-19 Pandemic and the Antecedants for the Impulse Buying Behavior of US Citizens

The COVID-19 Pandemic and the Antecedants for the Impulse Buying Behavior of US Citizens

Bots and online hate during the COVID-19 pandemic: case studies in the United States and the Philippines

On the predictability of COVID-19 in USA: A Google Trends analysis

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