Protecting Pandemic Conversations: Tracing Twitter’s Evolving Content Policies During COVID-19

Hope, Lacy

doi:10.1177/1050651920958393

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…This contrasts with messaging from the mainstream media that sometimes downplays transmission rates and ignores issues of race, class, and gender [6]. Much messaging about COVID-19 health behaviors has been designed specifically for social media through visuals [60][61][62][63] and to prevent misinformation from spreading [60,64]. Despite the pandemic of misinformation on social media, these platforms remain important for government communications about COVID-19 [63].…”

Section: Data Visualizations and Covid-19 Messagingmentioning

confidence: 99%

Perceived Effectiveness of COVID-19 Preventive Practices and Behavioral Intention: Survey of a Representative Adult Sample in the United States

Bagasra¹,

Allen²,

Doan³

2023

JMIR Hum Factors

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Background Using existing models of behavioral health promotion, specifically the Extended Parallel Process Model, previous research has identified factors that may impact engagement in preventive health behaviors during the COVID-19 pandemic such as perceived threat, perceived susceptibility to the threat, perceived severity, and perceived efficacy. Objective This study aims to examine the role of perceived effectiveness of COVID-19 preventive behaviors, perceived susceptibility, perceived threat, and perceived severity of COVID-19 in participants’ intentions to engage in Centers for Disease Control (CDC)–recommended individual health behaviors in the first year of the pandemic. Methods In October 2020, a representative sample of 506 US adults completed a web-based survey through the RAND American Life Panel. Results The study primarily found that participants who perceived that CDC-recommended health practices were effective had stronger intentions to engage in those practices. The second strongest correlate was participants’ perceived severity of COVID-19 across the United States. Perceived effectiveness of recommended practices accounted for the largest variance in behavioral intention. However, analysis of individual behaviors indicated a mismatch in the behaviors perceived to be the most effective (avoiding sick people and mask-wearing) and those participants indicated intention to engage in (throwing away used tissues, avoiding sick people, and coughing into their elbows) in the next 30 days. Conclusions The authors recommend tailoring public health messaging to address the perceived threat of COVID-19 and self-efficacy. Thus, health promotion efforts should emphasize the effectiveness of CDC-recommended practices while highlighting the pandemic’s severity. Additionally, rebuilding trust in public health messaging and messengers is necessary to increase perceived self-efficacy. As the COVID-19 pandemic continues, health messaging must continue to promote and build trust in CDC-recommended health practices and educate regarding the efficacy of vaccination and other preventive behaviors.

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Section: Data Visualizations and Covid-19 Messagingmentioning

confidence: 99%

Perceived Effectiveness of COVID-19 Preventive Practices and Behavioral Intention: Survey of a Representative Adult Sample in the United States

Bagasra¹,

Allen²,

Doan³

2023

JMIR Hum Factors

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“…Therefore, to manage brand communications during pandemic, using online communication technology became imperative. It has been observed organizations extensively used social media platforms to promote their products and services before pandemic [ 3 ]. During the crisis, physical events such as business conferences, meetings, consortiums were cancelled and there was a sudden increase of people staying indoors.…”

Section: Introductionmentioning

confidence: 99%

Technology enabled communication during COVID 19: analysis of tweets from top ten Indian IT companies using NVIVO

Chawla

Sareen

Gupta

et al. 2023

Int. j. inf. tecnol.

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The corona virus (COVID-19) pandemic has impacted industries across the globe. Lockdown was imposed to curb the spread of the deadly virus. This resulted in closure of the factories and manufacturing units. Few sectors switched to work from home (WFH) for the first time. The present study aims to understand and analyze the way in which Information Technology (IT) sector communicated on Twitter during the pandemic. The top ten IT companies in India were selected on the basis of net sales. Qualitative data analysis was employed to extract tweets, understand and analyze them. Tweets were extracted from the official Twitter handles of these top ten IT companies using N-Capture extension tool of NVivo 12 software from April 1, 2020 to April 30, 2021. To get insights out of collected data, Word Cloud, TreeMap and Sentiment Analysis of tweets were carried out using NVivo 12 software. The research found that IT companies focussed on digital transformation, business development, customer satisfaction and enriching customer experience, new product development for healthcare and insurance and organizational resilience. They also focussed on effective communication through Twitter in times of crisis. Most of the companies tweeted moderately positive. Very small numbers of tweets were found to be very negative.

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“…COVID-19 has not only been characterized as a viral infection but also as an "infodemic" issue that has permeated the functioning of science communication with an abundance of information and misinformation (Pulido et al, 2020;Graham, 2021;Hope, 2021) 1 . Science communication is a theoretical and practical field in which questions of public health (Chen et al, 2020;Head et al, 2020) are intertwined with issues of uncertainty (Paek and Hove, 2020;Atherton, 2021;Grace and Tham, 2021) and risk during this pandemic (Chou and Budenz, 2020;Lovari, 2020;Batova, 2021).…”

Section: Introductionmentioning

confidence: 99%

Communicating Corrected Risk Assessments and Uncertainty About COVID-19 in the Post-truth Era

Fernandes

2021

Front. Commun.

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The COVID-19 pandemic has been a challenge for science communication in terms of addressing the question of uncertainty and how it translates into risk. This task has been aggravated by the complexity of the pandemic and the current post-truth environment. The article suggests that there is a need to analyze the practices of correcting risk information that is uncertain, but not necessarily false, made by online news media about COVID-19. This is a point of analysis where the uncertainty and risk linked to science, the pandemic, and the post-truth condition meet. The qualitative discursive analysis yielded three important results: (1) uncertainty can be fought by increasing uncertainty; (2) a multiplication of facts or reasons may not be the most prominent strategy in practices of correction; and (3) the use of hyperlinks with additional information can increase uncertainty and risk.

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Protecting Pandemic Conversations: Tracing Twitter’s Evolving Content Policies During COVID-19

Cited by 7 publications

References 6 publications

Perceived Effectiveness of COVID-19 Preventive Practices and Behavioral Intention: Survey of a Representative Adult Sample in the United States

Perceived Effectiveness of COVID-19 Preventive Practices and Behavioral Intention: Survey of a Representative Adult Sample in the United States

Technology enabled communication during COVID 19: analysis of tweets from top ten Indian IT companies using NVIVO

Communicating Corrected Risk Assessments and Uncertainty About COVID-19 in the Post-truth Era

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