text stringlengths 186 8.61k | conversation_id int64 77.3k 898k | embedding sequence | cluster int64 93 93 |
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Please summerize the given abstract to a title
The paradox of the link between health literacy and health promotion: the case of COVID-19
COVID-19 brought out the critical issues of public health messages and the relationship between health literacy, health promotion, and public health. The aim is to analyse these concepts to provide a framework in which mutual influences are ontologically analysed; more specifically this article will explore whether health promotion should improve health literacy or health literacy is actually a pre-requisite for understanding (and put into practice) health promotion/public health messages. Public health must protect the public from misinformation and on this nurses and other health care providers play a crucial role in supporting individuals and communities in the comprehension of public health messages. The paradox under analysis is the link between health literacy and health promotion; what the role of health literacy is when, as in the case of the recent outbreak of the COVID-19 pandemic, Public Health must address tens of hundreds of health promotion messages to the whole population. During the outbreak, there was an underlying uncertainty, every day new data and information emerged and every day something more was understood (or misunderstood) about the virus. There was a massive presence of COVID-19 misinformation, particularly on social media in terms of, among others, treatments, the utility of wearing mask, COVID-19 cases by age group, conspiracy theories, all added more confusion and uncertainty to the public. Public health must protect the public from misinfromation. While in practice actions have been put in place to improve patients' compliance with respect to health promotion it is unclear the ontological relationship between health promotion and health literacy within the Public Health context.
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Please summerize the given abstract to a title
Americans’ Perspectives on Online Media Warning Labels
Americans are pervasively exposed to social media, news, and online content. Some of this content is designed to be deliberately deceptive and manipulative. However, it is interspersed amongst other content from friends and family, advertising, and legitimate news. Filtering content violates key societal values of freedom of expression and inquiry. Taking no action, though, leaves users at the mercy of individuals and groups who seek to use both single articles and complex patterns of content to manipulate how Americans consume, act, work, and even think. Warning labels, which do not block content but instead aid the user in making informed consumption decisions, have been proposed as a potential solution to this dilemma. Ideally, they would respect the autonomy of users to determine what media they consume while combating intentional deception and manipulation through its identification to the user. This paper considers the perception of Americans regarding the use of warning labels to alert users to potentially deceptive content. It presents the results of a population representative national study and analysis of perceptions in terms of key demographics.
| 77,302 | [
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Please summerize the given abstract to a title
Mythologizing Time in Internet Memes of the COVID-19 Pandemic Period
The article is devoted to the mythologization of time in Internet memes during the COVID-19 pandemic. The authors consider modern social mythology in the context of the digital humanities. Digitalization of human existence leads to the emergence of digital mythology, which allows us to comprehend the new electronic social reality and influences the formation of worldview. The myths of the digital age are embedded in the tools of social communication, one of which is the Internet meme. The authors define the Internet meme as a part of digital culture and a communication phenomenon that can transmit emotionally colored information and influence its perception. Internet memes contain myth elements that allow communicants to perceive the transmitted information with a high degree of efficiency. Memes make it possible for Internet users to describe the realities of a rapidly changing world, while at the same time comprehending it at a high speed, thanks to the recognition of the myth. Myths about the time have become particularly relevant during the pandemic, as they were associated with the need to adapt to new conditions of existence and accelerate digitalization. Internet memes about the year 2020 demonstrate the features of the mythologization of time in the pandemic period. © 2021 IEEE.
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Please summerize the given abstract to a title
Demand for Mobile Health in Developing Countries During COVID-19: Vietnamese's Perspectives from Different Age Groups and Health Conditions
BACKGROUND: Vietnam’s economy and intellectual standards have witnessed significant development, improving conditions for residents to acquire novel mHealth applications. Additionally, the outbreak of the COVID-19 pandemic has influenced Vietnamese awareness of healthcare; however, previous studies have only been clinician-centered rather than customer-centered. METHODS: This study addresses this literature gap by interviewing 50 Vietnamese participants grouped by age, namely Generation X, Generation Y, and Generation Z, and health conditions, namely whether participants or family members have chronic illness. The study utilized semi-structured and in-depth interviews to collect the data and used thematic analysis to analyze the data under the unified theory of acceptance and use of technology framework. RESULTS: Most participants were willing to adopt this technology and demanded a convenient and user-friendly one-stop-shop solution, endorsements from credible and authoritative sources, and professional customer services. However, each group also had distinctive demands and behaviors. CONCLUSION: This study contributes theoretically by providing context-rich demand for Vietnamese customers across three generations and healthcare conditions during the COVID-19 pandemic and comparing their behavior with pre-COVID literature. While this research provides helpful information for potential app developers, this study also suggests that mHealth developers and policymakers should pay more attention to the differences in the demand of age groups and health conditions.
| 77,451 | [
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Please summerize the given abstract to a title
An iterative topic model filtering framework for short and noisy user-generated data: analyzing conspiracy theories on twitter
Conspiracy theories have seen a rise in popularity in recent years. Spreading quickly through social media, their disruptive effect can lead to a biased public view on policy decisions and events. We present a novel approach for LDA-pre-processing called Iterative Filtering to study such phenomena based on Twitter data. In combination with Hashtag Pooling as an additional pre-processing step, we are able to achieve a coherent framing of the discussion and topics of interest, despite of the inherent noisiness and sparseness of Twitter data. Our novel approach enables researchers to gain detailed insights into discourses of interest on Twitter, allowing them to identify tweets iteratively that are related to an investigated topic of interest. As an application, we study the dynamics of conspiracy-related topics on US Twitter during the last four months of 2020, which were dominated by the US-Presidential Elections and Covid-19. We monitor the public discourse in the USA with geo-spatial Twitter data to identify conspiracy-related contents by estimating Latent Dirichlet Allocation (LDA) Topic Models. We find that in this period, usual conspiracy-related topics played a marginal role in comparison with dominating topics, such as the US-Presidential Elections or the general discussions about Covid-19. The main conspiracy theories in this period were the ones linked to “Election Fraud” and the “Covid-19-hoax.” Conspiracy-related keywords tended to appear together with Trump-related words and words related to his presidential campaign.
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Please summerize the given abstract to a title
Types of Gameplay in Newsgames. Case of Persuasive Messages about COVID-19
Currently, independent video games have been presented as an alternative to approach the development of a ludic typology called newsgames in which, distancing themselves from the interests of the entertainment industry, a series of games related to the pandemic are presented. From here, we seek to examine the gameplay elements and persuasive messages of 17 “indie games”in the context of COVID-19, categorizing them according to types of newsgames and determining any patterns present among them. The results manifest a tendency towards tabloid newsgames, which are characterized by dealing with sensational, direct, and immediate information using humor and exaggeration to convey messages, which, in this case, focuses on biosafety measures such as hand washing, the use of alcohol for sanitation, and social distancing. On the part of the gameplay elements, a linear narrative is maintained, but it is mainly a sum of achievements to reach the game’s objectives. In short, independent newsgames are formalized as an instrument of diversification in media realities that allow for the presenting of information in an alternative way without depending on editorial lines within a crisis context, as has been the case during the pandemic.
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Please summerize the given abstract to a title
Communicating health crisis: a content analysis of global media framing of COVID-19.
Background: This study examines the global media framing of coronavirus disease 2019(COVID-19) to understand the dominant frames and how choice of words compares in the media. Periods of health crisis such as the outbreak of coronavirus pandemic add to the enormous burden of the media in keeping people constantly informed. Extant literature suggests that when a message is released through the media, what matters most is not what is said but how it is said. As such, the media could either mitigate or accentuate the crisis depending on the major frames adopted for the coverage. Methods: The study utilises content analysis. Data were sourced from LexisNexis database and two websites that yielded 6145 items used for the analysis. Nine predetermined frames were used for the coding. Results: Human Interest and fear/scaremongering frames dominated the global media coverage of the pandemic. We align our finding with the constructionist frame perspective which assumes that the media as information processor creates 'interpretative packages' in order to both reflect and add to the 'issue culture' because frames that paradigmatically dominate event coverage also dominate audience response. The language of the coverage of COVID-19 combines gloom, hope, precaution and frustration at varied proportions. Conclusion: We conclude that global media coverage of COVID-19 was high, but the framing lacks coherence and sufficient self-efficacy and this can be associated with media's obsession for breaking news. The preponderance of these frames not only shapes public perception and attitudes towards the pandemic but also risks causing more problems for those with existing health conditions due to fear or panic attack.
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Please summerize the given abstract to a title
The Role of Media Sources for COVID-19 Information on Engaging in Recommended Preventive Behaviors among Medicare Beneficiaries Aged ≥ 65 Years
OBJECTIVES: The public relies on various media sources and communication platforms for receipt of COVID-19 information. Therefore, identifying the primary sources of COVID-19 information among older adults can be valuable, as it can enable information on life-saving measures to be effectively disseminated to this population. METHODS: We analyzed the Medicare Current Beneficiary Survey COVID-19 Supplement that was administrated from June 2020 through July 2020 (n=8,050). A survey-weighted logistic model was conducted to examine the association between sources of COVID-19 information Medicare beneficiaries most relied on (i.e., traditional news sources, social media, comments/guidance from government officials, other webpages/internet, friends/family members, and health care providers) and engaging in all three recommended preventive behaviors (i.e., mask wearing, social distancing, and handwashing). RESULTS: Among study participants, 89.8% engaged in all three recommended preventive behaviors. Approximately 59.3% of beneficiaries reported that they most relied upon traditional news sources for COVID-19 information; 11.4% reported health care providers; 10.6% reported comments/guidance from government officials; 8.8% reported other webpages/internet, 8.6% reported friends/family members; and 1.3% reported they relied upon social media. Beneficiaries who relied on comments/guidance from government officials for COVID-19 information (vs. traditional news sources) were more likely to engage in preventive behaviors (OR=1.68, 95% CI=1.20,2.35). However, those who relied on COVID-19 information from friends/family members (vs. traditional news sources) were less likely to engage in preventive behaviors (OR=0.56, 95% CI=0.44,0.73). DISCUSSION: Our findings can inform decision making about the effective communication sources to reach Medicare beneficiaries for public health messaging regarding preventive measures, including COVID-19 vaccination.
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... | 93 |
Please summerize the given abstract to a title
The Covid-19 Infodemic and the Efficacy of Corrections
Social media platforms have taken unprecedented steps to combat misinformation about Covid-19. However, critics question whether the most common strategy – labeling and alerting readers to misinformation – successfully counters misinformation or paradoxically reinforces inaccurate beliefs. Using a pair of survey experiments, we examine the efficacy of two different corrections in reducing accuracy misperceptions and social media sharing that spreads false claims. Simply flagging fake headlines had little effect on subjects’ accuracy assessments and social media responses. Corrections explicitly countering false claims with factual information were more effective, though many respondents reported that they believed and would share the false information. Despite the increasing politicization of America’s pandemic response and polarization more generally, corrections to false claims with and without partisan valence were equally effective. We found no evidence of partisan backfire effects. The efficacy of corrections did vary with social media usage and age, a proxy for digital literacy. However, these moderating effects were inconsistent and often conflicting. Our results suggest that more aggressive corrections are essential to combating the Covid-19 infodemic;backlash risks are minimal and milder corrections ineffective.
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Please summerize the given abstract to a title
Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence-Enabled Social Media Analysis
BACKGROUND: The emergence of SARS-CoV-2 in late 2019 and its subsequent spread worldwide continues to be a global health crisis. Many governments consider contact tracing of citizens through apps installed on mobile phones as a key mechanism to contain the spread of SARS-CoV-2. OBJECTIVE: In this study, we sought to explore the suitability of artificial intelligence (AI)-enabled social media analyses using Facebook and Twitter to understand public perceptions of COVID-19 contact tracing apps in the United Kingdom. METHODS: We extracted and analyzed over 10,000 relevant social media posts across an 8-month period, from March 1 to October 31, 2020. We used an initial filter with COVID-19-related keywords, which were predefined as part of an open Twitter-based COVID-19 dataset. We then applied a second filter using contract tracing app-related keywords and a geographical filter. We developed and utilized a hybrid, rule-based ensemble model, combining state-of-the-art lexicon rule-based and deep learning-based approaches. RESULTS: Overall, we observed 76% positive and 12% negative sentiments, with the majority of negative sentiments reported in the North of England. These sentiments varied over time, likely influenced by ongoing public debates around implementing app-based contact tracing by using a centralized model where data would be shared with the health service, compared with decentralized contact-tracing technology. CONCLUSIONS: Variations in sentiments corroborate with ongoing debates surrounding the information governance of health-related information. AI-enabled social media analysis of public attitudes in health care can help facilitate the implementation of effective public health campaigns.
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Please summerize the given abstract to a title
"We Decided We Don't Want Children. We Will Let Them Know Tonight": Parental Humor on Social Media in a Time of Coronavirus Pandemic
A thematic analysis of humor circulating on Israeli social networks during the COVID-19 lockdown reveals challenges that parents faced Parents (mostly mothers) expressed the hardships of surviving quarantine while taking care of their children Their humor presents them as helpless, depressed, and even suicidal when they discover that none of their coping mechanisms help them Grandmothers escaped from caring for their grandchildren, and the relationships with remote schooling are contradictory, at best Overall, this article highlights the unique role that humor plays as an outlet for parents' anxieties and distress during the pandemic
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