message stringlengths 14 8.44k | message_type stringclasses 3 values | message_id int64 0 2 | conversation_id int64 77.3k 898k | cluster float64 93 93 | __index_level_0__ int64 231k 2.69M |
|---|---|---|---|---|---|
Please summerize the given abstract to a title | instruction | 0 | 77,251 | 93 | 231,343 |
The paradox of the link between health literacy and health promotion: the case of COVID-19 | output | 1 | 77,251 | 93 | 231,344 |
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. | input | 2 | 77,251 | 93 | 231,345 |
Please summerize the given abstract to a title | instruction | 0 | 77,302 | 93 | 231,496 |
Americans’ Perspectives on Online Media Warning Labels | output | 1 | 77,302 | 93 | 231,497 |
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. | input | 2 | 77,302 | 93 | 231,498 |
Please summerize the given abstract to a title | instruction | 0 | 77,418 | 93 | 231,844 |
Mythologizing Time in Internet Memes of the COVID-19 Pandemic Period | output | 1 | 77,418 | 93 | 231,845 |
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. | input | 2 | 77,418 | 93 | 231,846 |
Please summerize the given abstract to a title | instruction | 0 | 77,451 | 93 | 231,943 |
Demand for Mobile Health in Developing Countries During COVID-19: Vietnamese's Perspectives from Different Age Groups and Health Conditions | output | 1 | 77,451 | 93 | 231,944 |
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. | input | 2 | 77,451 | 93 | 231,945 |
Please summerize the given abstract to a title | instruction | 0 | 77,581 | 93 | 232,333 |
An iterative topic model filtering framework for short and noisy user-generated data: analyzing conspiracy theories on twitter | output | 1 | 77,581 | 93 | 232,334 |
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. | input | 2 | 77,581 | 93 | 232,335 |
Please summerize the given abstract to a title | instruction | 0 | 77,773 | 93 | 232,909 |
Types of Gameplay in Newsgames. Case of Persuasive Messages about COVID-19 | output | 1 | 77,773 | 93 | 232,910 |
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. | input | 2 | 77,773 | 93 | 232,911 |
Please summerize the given abstract to a title | instruction | 0 | 77,794 | 93 | 232,972 |
Communicating health crisis: a content analysis of global media framing of COVID-19. | output | 1 | 77,794 | 93 | 232,973 |
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. | input | 2 | 77,794 | 93 | 232,974 |
Please summerize the given abstract to a title | instruction | 0 | 77,805 | 93 | 233,005 |
The Role of Media Sources for COVID-19 Information on Engaging in Recommended Preventive Behaviors among Medicare Beneficiaries Aged ≥ 65 Years | output | 1 | 77,805 | 93 | 233,006 |
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. | input | 2 | 77,805 | 93 | 233,007 |
Please summerize the given abstract to a title | instruction | 0 | 77,896 | 93 | 233,278 |
The Covid-19 Infodemic and the Efficacy of Corrections | output | 1 | 77,896 | 93 | 233,279 |
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. | input | 2 | 77,896 | 93 | 233,280 |
Please summerize the given abstract to a title | instruction | 0 | 77,931 | 93 | 233,383 |
Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence-Enabled Social Media Analysis | output | 1 | 77,931 | 93 | 233,384 |
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. | input | 2 | 77,931 | 93 | 233,385 |
Please summerize the given abstract to a title | instruction | 0 | 77,981 | 93 | 233,533 |
"We Decided We Don't Want Children. We Will Let Them Know Tonight": Parental Humor on Social Media in a Time of Coronavirus Pandemic | output | 1 | 77,981 | 93 | 233,534 |
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 | input | 2 | 77,981 | 93 | 233,535 |
Please summerize the given abstract to a title | instruction | 0 | 78,010 | 93 | 233,620 |
Choosing not to follow rules that will reduce the spread of COVID-19 | output | 1 | 78,010 | 93 | 233,621 |
In response to the COVID-19 pandemic, many authorities have implemented public health measures that place restrictions on individuals. Understanding how individuals respond to these new rules, particularly whether they are likely to follow or break them, is extremely important. Relational frame theory offers unique insights into rule-governed behavior, allowing researchers to develop functional-analytic interpretations of why a listener may understand a rule, have the required response established in their behavioral repertoire, and still choose not to follow the rule. Drawing from research on rule-following in accordance with relational frame theory and cognitive neuroscience, social psychology, and health literature, this paper presents reasons why a rule may be understood but not followed, identifying important considerations for implementing public health measures to reduce the spread of COVID-19. Specifically, rule-givers should attend to their credibility, authority and ability to mediate consequences, rule plausibility, establishing adequate motivative augmental control, whether the behavior specified in the rule opposes habits, and whether the message incites counterpliance. | input | 2 | 78,010 | 93 | 233,622 |
Please summerize the given abstract to a title | instruction | 0 | 78,017 | 93 | 233,641 |
#COVID-19 on Twitter: Bots, Conspiracies, and Social Media Activism | output | 1 | 78,017 | 93 | 233,642 |
With people moving out of physical public spaces due to containment measures to tackle the novel coronavirus (COVID-19) pandemic, online platforms become even more prominent tools to understand social discussion. Studying social media can be informative to assess how we are collectively coping with this unprecedented global crisis. However, social media platforms are also populated by bots, automated accounts that can amplify certain topics of discussion at the expense of others, possibly distorting the perception of the ongoing conversation. In this paper, we study 43.3M English tweets about COVID-19 and provide early evidence of the use of bots to promote political conspiracies in the US, but also as a tool to enable participatory activism to surface information that could otherwise be censored in China. | input | 2 | 78,017 | 93 | 233,643 |
Please summerize the given abstract to a title | instruction | 0 | 78,074 | 93 | 233,812 |
Twitter as a Tool to Spread Communication Regarding Genitourinary Cancers During the COVID-19 Pandemic | output | 1 | 78,074 | 93 | 233,813 |
OBJECTIVES: To better characterize the relay of information about prostate, kidney, and bladder cancer on Twitter in relation to the COVID-19 pandemic. MATERIALS AND METHODS: Tweets containing the joint hashtags “#COVID-19” and either “#bladder cancer”, “#kidney cancer”, or “#prostate cancer” were identified on the Twitter platform from January 1, 2020 to July 30, 2020. The Twitter handle responsible for each tweet was categorized as an Academic, Medical Education, Patient Advocacy Groups/Non-Profits, Pharmaceutical, or Other entity based on content domain. Descriptive statistics were used to summarize data on Twitter handle characteristics stratified by disease category (bladder, kidney, and prostate). Median/interquartile range and percentages were used to summarize continuous and categorical data, respectively. Number of tweets containing the relevant joint hashtags were tracked over time in relation to the cumulative United States case count of COVID-19. RESULTS: The content of 730 total tweets containing the joint hashtags “COVID-19” and either “#bladder cancer” (138 tweets), “#kidney cancer” (137 tweets), or “#prostate cancer” (455 tweets) from January 1, 2020 to July 31, 2020 were analyzed. We identified 326 unique Twitter handles across all disease states (62 bladder, 47 kidney, and 217 prostate-related). Academic Twitter handles accounted for the greatest number of tweets containing the joint hashtags (31%). Temporal tracking of tweets with regard to monthly U.S. COVID cases revealed that communication surged in March of 2020 and peaked in April for both bladder and kidney cancer, whereas related prostate cancer Twitter communication peaked in May of 2020. CONCLUSIONS: As COVID-19 case counts rose in the United States initially, so too did communication surrounding COVID-19 and genitourinary cancers on Twitter. Many of these conversations were driven by academically-associated Twitter accounts. | input | 2 | 78,074 | 93 | 233,814 |
Please summerize the given abstract to a title | instruction | 0 | 78,166 | 93 | 234,088 |
A content analysis of Canadian influencer crisis messages on Instagram and the public’s response during COVID-19 | output | 1 | 78,166 | 93 | 234,089 |
Successful mitigation of emerging infectious disease requires that the public adopt recommended behaviours, which is directly influenced by effective crisis communication. Social media has become an important communication channel during COVID-19 where official actors, influencers, and the public are co-creating crisis messages. Our research examined COVID-19-related crisis messages across Canadian influencer accounts within news media, politicians, public health and government, science communicators, and brand influencer and celebrities, posted on Instagram between December 2019 and March 2021 for Health Belief Model and Extended Parallel Processing Model constructs and the corresponding public comment sentiment and engagement. Thirty-three influencer accounts resulted in a total of 2,642 Instagram posts collected, along with 461,436 comments, which showed overall low use of constructs in both captions and images. Further, most posts used no combinations (n = 0 or 1 construct per post) of constructs in captions and images and very infrequently used captions that combined threat (severity and susceptibility) with cues to action and efficacy. Brand influencers and celebrities, politicians, and science communicators had above average post engagement while public health and government and news media had lower. Finally, most influencers saw the largest proportion of neutral sentiment comments. Crisis messages must be designed to include combinations of constructs that increase message acceptance and influence risk perception and efficacy to increase the adoption of recommended and mandated behaviours. | input | 2 | 78,166 | 93 | 234,090 |
Please summerize the given abstract to a title | instruction | 0 | 78,365 | 93 | 234,685 |
An analysis of Twitter users opinions on vaccines using Machine Learning techniques | output | 1 | 78,365 | 93 | 234,686 |
Vaccines are an old technique, known and used for over 200 years. However, it is likely that the arrival of the COVID-19 pandemic made the public debate around this technology become polarized at a level never seen before. Thus, this work aims to determine and understand factors that lead Brazilian users on Twitter to be favorable or not to vaccines by first determining users' stances in relation to the vaccination topic and then using Machine Learning methods to infer demographic information and determine which are the socio-demographic factors that cause the greatest impact on users' opinions on vaccines. First, a data set composed of relevant demographic information from users who stand for or against vaccines was generated. Then, from the collected data, charts were generated showing the distributions of the obtained demographic information and Machine Learning algorithms were applied to the data set in order to generate relevant models for the research. Finally, the information collected in the previous steps was analyzed in order to draw relevant conclusions about how each demographic factor considered influences the formation of Twitter users opinions on vaccines and their use. The methodology proposed produced informative and pertinent results, and it was possible to determine that age and location are the factors that cause the most significant influence on users' opinions. Our work proposes an efficient and agile framework that can be easily and readily implemented and extended to understand not only stances on vaccines, but also opinions on any subject of public debate. © 2021 IEEE. | input | 2 | 78,365 | 93 | 234,687 |
Please summerize the given abstract to a title | instruction | 0 | 78,518 | 93 | 235,144 |
EXPRESS: Local Impact of Global Crises, Institutional Trust, and Consumer Well-being: Evidence from the COVID-19 Pandemic | output | 1 | 78,518 | 93 | 235,145 |
Global crises become increasingly more frequent and consequential Yet, the impact of these crises is unevenly distributed across countries, leading to discrepancies in (inter)national crisis-regulating institutions? ability to uphold public trust and safeguard their constituents? well-being Employing the paradigm of citizens as customers of political institutions, drawing on attribution and socio-political trust theories, and using the COVID-19 pandemic as empirical context, we investigate how consumers? relative perceptions of local impact following a global crisis affect the psychological processes of institutional trust-formation and consumer well-being Conducting one survey-based study in two countries affected disproportionately by the pandemic?s first wave (USA, Greece) and one experimental study in a third country (Italy) during the pandemic?s second wave, we find that institutional trust declines more in countries whose citizens hold perceptions of higher relative local impact following a global crisis;institutional blame attributions explain trust erosion;institutional distrust decreases consumer well-being and adherence to institutional guidelines;consumers? globalization attitudes immunize international institutions from blame and distrust;and political conservatives transfer blame and distrust from national to international institutions amidst global crises The findings enrich institutional branding and trust literatures and have implications for stakeholders involved in global crisis-management (policymakers, political marketers, institutional brand managers) | input | 2 | 78,518 | 93 | 235,146 |
Please summerize the given abstract to a title | instruction | 0 | 78,548 | 93 | 235,234 |
Association of "#covid19" Versus "#chinesevirus" With Anti-Asian Sentiments on Twitter: March 9-23, 2020. | output | 1 | 78,548 | 93 | 235,235 |
Objectives. To examine the extent to which the phrases, "COVID-19" and "Chinese virus" were associated with anti-Asian sentiments.Methods. Data were collected from Twitter's Application Programming Interface, which included the hashtags "#covid19" or "#chinesevirus." We analyzed tweets from March 9 to 23, 2020, corresponding to the week before and the week after President Donald J. Trump's tweet with the phrase, "Chinese Virus." Our analysis focused on 1 273 141 hashtags.Results. One fifth (19.7%) of the 495 289 hashtags with #covid19 showed anti-Asian sentiment, compared with half (50.4%) of the 777 852 hashtags with #chinesevirus. When comparing the week before March 16, 2020, to the week after, there was a significantly greater increase in anti-Asian hashtags associated with #chinesevirus compared with #covid19 (P < .001).Conclusions. Our data provide new empirical evidence supporting recommendations to use the less-stigmatizing term "COVID-19," instead of "Chinese virus." (Am J Public Health. Published online ahead of print March 18, 2021: e1-e9. https://doi.org/10.2105/AJPH.2021.306154). | input | 2 | 78,548 | 93 | 235,236 |
Please summerize the given abstract to a title | instruction | 0 | 78,551 | 93 | 235,243 |
Understanding Adverse Population Sentiment Towards the Spread of COVID-19 in the United States | output | 1 | 78,551 | 93 | 235,244 |
Background - During the ongoing COVID-19 pandemic, the immediate threat of illness and mortality is not the only concern. In the United States, COVID-19 is not only causing physical suffering to patients, but also great levels of adverse sentiment (e.g., fear, panic, anxiety) among the public. Such secondary threats can be anticipated and explained through sentiment analysis of social media, such as Twitter. Methods - We obtained a dataset of geotagged tweets on the topic of COVID-19 in the contiguous United States during the period of 11/1/2019 - 9/15/2020. We classified each tweet into "adverse" and "non-adverse" using the NRC Emotion Lexicon and tallied up the counts for each category per county per day. We utilized the space-time scan statistic to find clusters and a three-stage regression approach to identify socioeconomic and demographic correlates of adverse sentiment. Results - We identified substantial spatiotemporal variation in adverse sentiment in our study area/period. After an initial period of low-level adverse sentiment (11/1/2019 - 1/15/2020), we observed a steep increase and subsequent fluctuation at a higher level (1/16/2020 - 9/15/2020). The number of daily tweets was low initially (11/1/2019 - 1/22/2020), followed by spikes and subsequent decreases until the end of the study period. The space-time scan statistic identified 12 clusters of adverse sentiment of varying size, location, and strength. Clusters were generally active during the time period of late March to May/June 2020. Increased adverse sentiment was associated with decreased racial/ethnic heterogeneity, decreased rurality, higher vulnerability in terms of minority status and language, and housing type and transportation. Conclusions - We utilized a dataset of geotagged tweets to identify the spatiotemporal patterns and the spatial correlates of adverse population sentiment during the first two waves of the COVID-19 pandemic in the United States. The characteristics of areas with high adverse sentiment may be relevant for communication of containment measures. The combination of spatial clustering and regression can be beneficial for understanding of the ramifications of COVID-19, as well as disease outbreaks in general. | input | 2 | 78,551 | 93 | 235,245 |
Please summerize the given abstract to a title | instruction | 0 | 78,595 | 93 | 235,375 |
How 3D Printing and Social Media Tackles the PPE Shortage during Covid – 19 Pandemic | output | 1 | 78,595 | 93 | 235,376 |
During the recent Covid-19 pandemic, additive Technology and Social Media were used to tackle the shortage of Personal Protective Equipment. A literature review and a social media listening software were employed to explore the number of the users referring to specific keywords related to 3D printing and PPE. Additionally, the QALY model was recruited to highlight the importance of the PPE usage. More than 7 billion users used the keyword covid or similar in the web while mainly Twitter and Facebook were used as a world platform for PPE designs distribution through individuals and more than 100 different 3D printable PPE designs were developed. | input | 2 | 78,595 | 93 | 235,377 |
Please summerize the given abstract to a title | instruction | 0 | 78,650 | 93 | 235,540 |
Understanding Global Reaction to the Recent Outbreaks of COVID-19: Insights from Instagram Data Analysis | output | 1 | 78,650 | 93 | 235,541 |
The coronavirus disease, also known as the COVID-19, is an ongoing pandemic of a severe acute respiratory syndrome. The pandemic has led to the cancellation of many religious, political, and cultural events around the world. A huge number of people have been stuck within their homes because of unprecedented lockdown measures taken globally. This paper examines the reaction of individuals to the virus outbreak-through the analytical lens of specific hashtags on the Instagram platform. The Instagram posts are analyzed in an attempt to surface commonalities in the way that individuals use visual social media when reacting to this crisis. After collecting the data, the posts containing the location data are selected. A portion of these data are chosen randomly and are categorized into five different categories. We perform several manual analyses to get insights into our collected dataset. Afterward, we use the ResNet-50 convolutional neural network for classifying the images associated with the posts, and attention-based LSTM networks for performing the caption classification. This paper discovers a range of emerging norms on social media in global crisis moments. The obtained results indicate that our proposed methodology can be used to automate the sentiment analysis of mass people using Instagram data. | input | 2 | 78,650 | 93 | 235,542 |
Please summerize the given abstract to a title | instruction | 0 | 78,727 | 93 | 235,771 |
White Paper: Open Digital Health - accelerating transparent and scalable health promotion and treatment. | output | 1 | 78,727 | 93 | 235,772 |
In this White Paper, we outline recommendations from the perspective of health psychology and behavioural science, addressing three research gaps: (1) What methods in the health psychology research toolkit can be best used for developing and evaluating digital health tools? (2) What are the most feasible strategies to reuse digital health tools across populations and settings? (3) What are the main advantages and challenges of sharing (openly publishing) data, code, intervention content and design features of digital health tools? We provide actionable suggestions for researchers joining the continuously growing Open Digital Health movement, poised to revolutionise health psychology research and practice in the coming years. This White Paper is positioned in the current context of the COVID-19 pandemic, exploring how digital health tools have rapidly gained popularity in 2020-2022, when world-wide health promotion and treatment efforts rapidly shifted from face-to-face to remote delivery. This statement is written by the Directors of the not-for-profit Open Digital Health Initiative (n = 6), Experts attending the European Health Psychology Society Synergy Expert Meeting (n = 17), and the initiative consultant following a two-day meeting (19-20th August 2021). | input | 2 | 78,727 | 93 | 235,773 |
Please summerize the given abstract to a title | instruction | 0 | 78,749 | 93 | 235,837 |
Media trust and infection mitigating behaviours during the COVID-19 pandemic in the USA | output | 1 | 78,749 | 93 | 235,838 |
INTRODUCTION: The COVID-19 pandemic is an unprecedented public health crisis. It is becoming increasingly clear that people’s behavioural responses in the USA during this fast-changing pandemic are associated with their preferred media sources. The polarisation of US media has been reflected in politically motivated messaging around the coronavirus by some media outlets, such as Fox News. This resulted in different messaging around the risks of infection and behavioural changes necessary to mitigate that risk. This study determined if COVID-related behaviours differed according to trust in left-leaning or right-leaning media and how differences changed over the first several months of the pandemic. METHODS: Using the nationally representative Understanding America Study COVID-19 panel, we examine preventive and risky behaviours related to infection from COVID-19 over the period from 10 March to 9 June for people with trust in different media sources: one left-leaning, CNN and another right-leaning, Fox News. People’s media preferences are categorised into three groups: (1) those who trust CNN more than Fox News; (2) those who have equal or no preferences and (3) those who trust Fox News more than CNN. RESULTS: Results showed that compared with those who trust CNN more than Fox news, people who trust Fox News more than CNN engaged in fewer preventive behaviours and more risky behaviours related to COVID-19. Out of five preventive and five risky behaviours examined, people who trust Fox News more than CNN practised an average of 3.41 preventive behaviours and 1.25 risky behaviours, while those who trust CNN more than Fox News engaged in an average of 3.85 preventive and 0.94 risky behaviours, from late March to June. The difference between these two groups widened in the month of May (p≤0.01), even after controlling for access to professional information and overall diversity of information sources. CONCLUSIONS: Our findings indicate that behavioural responses were divided along media bias lines. In such a highly partisan environment, false information can be easily disseminated, and health messaging, which is one of the few effective ways to slowdown the spread of the virus in the absence of a vaccine, is being damaged by politically biased and economically focused narratives. During a public health crisis, media should reduce their partisan stance on health information, and the health messaging from neutral and professional sources based on scientific findings should be better promoted. | input | 2 | 78,749 | 93 | 235,839 |
Please summerize the given abstract to a title | instruction | 0 | 78,771 | 93 | 235,903 |
The negative consequences of failing to communicate uncertainties during a pandemic:The case of COVID-19 vaccines | output | 1 | 78,771 | 93 | 235,904 |
Uncertainties pervade our health choices, particularly in the context of a novel pandemic. Despite this, rather little is known about when and how to effectively communicate these uncertainties. The focus in the medical literature so far has been on how patients respond to mentions of uncertainty relating to diagnosis or treatment, showing that these can have detrimental effects on trust and satisfaction. On the other hand, how patients are affected by these communications over time, particularly in the face of conflicting information, has received little attention. This is particularly important in the context a novel pandemic where uncertainty is rife and information changes over time. To fill this gap, we conducted an online study with UK participants on hypothetical communications relating to COVID-19 vaccines. Participants first read a vaccine announcement, which either communicated with certainty or uncertainty, and then received information which conflicted with the announcement. Those who were exposed to the certain announcement reported a greater loss of trust and vaccination intention than those who were exposed to the uncertain announcement. This shows that communicating with unwarranted certainty can backfire in the long-term, whereas communicating uncertainties can protect people from the negative impact of exposure to conflicting information. | input | 2 | 78,771 | 93 | 235,905 |
Please summerize the given abstract to a title | instruction | 0 | 78,784 | 93 | 235,942 |
Evidence of the psychological effects of pseudoscientific information about COVID-19 on rural and urban populations. | output | 1 | 78,784 | 93 | 235,943 |
This research aims to analyze the effects of pseudoscientific information (PI) about COVID-19 on the mental well-being of the general population. A total of 782 participants were classified according to the type of municipality in which they lived (rural municipalities and urban municipalities). The participants answered psychometric questionnaires that assessed psychological well-being, pseudoscientific beliefs and the ability to discriminate between scientific and pseudoscientific information about COVID-19. The results indicated the following: the greater the ability to discriminate between false information and true information, the greater the levels of psychological well-being perceived by the participant. The ability to discriminate predicts up to 32% of psychological well-being only for subjects living in rural municipalities. Residents in urban municipalities showed lower levels of well-being than residents in rural municipalities. It is concluded that new social resources are needed to help the general population of urban municipalities discriminate between pseudoscientific and scientific information. | input | 2 | 78,784 | 93 | 235,944 |
Please summerize the given abstract to a title | instruction | 0 | 78,832 | 93 | 236,086 |
Perils of digital intimacy. A classification framework for privacy, security, and safety risks on dating apps | output | 1 | 78,832 | 93 | 236,087 |
Dating apps have become increasingly popular, even more so in the period of the COVID-19 pandemic. Users rely on the anticipated results and perceived usefulness of dating apps, sometimes for extended periods of time. To create successful products, designers of dating apps aim to create sociotechnical structures that are attractive, easily usable, and profitable, thus raising challenges for security and privacy. The design of an app shapes users' experience and cultivates the ground for new practices. Tinder is one of the dating apps that has stirred controversy around its gamified design, and around the technical flaws that impact privacy and security. In this case study, we rely on participative observation and secondary analysis of scientific and journalistic investigations to systematize the implications brought by Tinder's design, to highlight and to classify the types of documented privacy, security, and personal safety risks for dating app users. © 2021 IEEE. | input | 2 | 78,832 | 93 | 236,088 |
Please summerize the given abstract to a title | instruction | 0 | 78,890 | 93 | 236,260 |
When Public Health Research Meets Social Media: Knowledge Mapping From 2000 to 2018 | output | 1 | 78,890 | 93 | 236,261 |
BACKGROUND: Social media has substantially changed how people confront health issues. However, a comprehensive understanding of how social media has altered the foci and methods in public health research remains lacking. OBJECTIVE: This study aims to examine research themes, the role of social media, and research methods in social media–based public health research published from 2000 to 2018. METHODS: A dataset of 3419 valid studies was developed by searching a list of relevant keywords in the Web of Science and PubMed databases. In addition, this study employs an unsupervised text-mining technique and topic modeling to extract research themes of the published studies. Moreover, the role of social media and research methods adopted in those studies were analyzed. RESULTS: This study identifies 25 research themes, covering different diseases, various population groups, physical and mental health, and other significant issues. Social media assumes two major roles in public health research: produce substantial research interest for public health research and furnish a research context for public health research. Social media provides substantial research interest for public health research when used for health intervention, human-computer interaction, as a platform of social influence, and for disease surveillance, risk assessment, or prevention. Social media acts as a research context for public health research when it is mere reference, used as a platform to recruit participants, and as a platform for data collection. While both qualitative and quantitative methods are frequently used in this emerging area, cutting edge computational methods play a marginal role. CONCLUSIONS: Social media enables scholars to study new phenomena and propose new research questions in public health research. Meanwhile, the methodological potential of social media in public health research needs to be further explored. | input | 2 | 78,890 | 93 | 236,262 |
Please summerize the given abstract to a title | instruction | 0 | 78,940 | 93 | 236,410 |
Media coverage of the novel Coronavirus (Covid-19) in Kenya and Tanzania: Content analysis of newspaper articles in East Africa | output | 1 | 78,940 | 93 | 236,411 |
Abstract: This study uses the framing theory to analyse dimensions being conveyed in the coverage of COVID-19 in Kenya and Tanzania between February 2020 and April 2020. A quantitative analysis of the Daily Nation and Citizen newspapers showed different patterns of framing of the virus. Specifically, this analysis focuses on multiple frames used by the two newspapers with respect to the following topical categories: context, basic information, preventive information, treatment information, medical research, Social context, Economic context, Political context, personal stories and other. Although the Daily Nation published more stories than the Citizen Newspaper, only the frame personal stories were significantly higher in the Daily Nation compared to Citizen Newspapers. | input | 2 | 78,940 | 93 | 236,412 |
Please summerize the given abstract to a title | instruction | 0 | 79,020 | 93 | 236,650 |
The State of Infodemic on Twitter | output | 1 | 79,020 | 93 | 236,651 |
Following the wave of misinterpreted, manipulated and malicious information growing on the Internet, the misinformation surrounding COVID-19 has become a paramount issue. In the context of the current COVID-19 pandemic, social media posts and platforms are at risk of rumors and misinformation in the face of the serious uncertainty surrounding the virus itself. At the same time, the uncertainty and new nature of COVID-19 means that other unconfirmed information that may appear"rumored"may be an important indicator of the behavior and impact of this new virus. Twitter, in particular, has taken a center stage in this storm where Covid-19 has been a much talked about subject. We have presented an exploratory analysis of the tweets and the users who are involved in spreading misinformation and then delved into machine learning models and natural language processing techniques to identify if a tweet contains misinformation. | input | 2 | 79,020 | 93 | 236,652 |
Please summerize the given abstract to a title | instruction | 0 | 79,202 | 93 | 237,196 |
The Security Versus Freedom Dilemma. An Empirical Study of the Spanish Case | output | 1 | 79,202 | 93 | 237,197 |
One of the classic debates in public opinion, now more prevalent due to the COVID-19 pandemic, has been the dilemma between freedom and security. Following a theoretical review, this article sets out to establish the sociodemographic profiles and those variables that can correlate and/or explain the inclination towards one or the other, that is, the dependent variable “freedom-security,” such as victimization or the assessment of surveillance. The analysis is based on the results of a survey prepared by the Center for Sociological Research (CIS, in Spanish) and administered to a sample of 5,920 Spaniards. The conclusions indicate that the majority inclination is for security, especially among older men, with elementary education attainment level and right-wing ideology. Furthermore, although victimization correlated with the dependent variable, the perception of being a possible victim led to a preference for safety rather than the actual experience of having been a victim. Finally, the positive assessment of surveillance through technologies such as video cameras explains or is strongly associated with security, making it a promising line of research for future work and a means to improve the understanding of the analyzed dilemma. | input | 2 | 79,202 | 93 | 237,198 |
Please summerize the given abstract to a title | instruction | 0 | 79,532 | 93 | 238,186 |
Dehumanization through humour and conspiracies in online hate towards Chinese people during the COVID-19 pandemic | output | 1 | 79,532 | 93 | 238,187 |
Since the beginning of the COVID-19 pandemic, there have been widespread conversations about the origins of the virus and who to blame for it. This article focuses on the online hate directed at Chinese and Asian people during the pandemic. Taking a critical discursive psychological approach, we analysed seven online threads related to COVID-19 and China from two Finnish websites (Suomi24 and Ylilauta) and one US (8kun) site. We identified three discursive trends associated with dehumanising Chinese populations: 'monstrous Chinese', 'immoral Chinese' and 'China as a threat', which created different forms of dehumanisation on a continuum from harsher dehumanisation to milder depersonalisation. The animalistic metaphors, coarse language, humorous frames and conspiracy beliefs worked to rhetorically justify the dehumanisation of Chinese individuals, making it more acceptable to portray them as a homogeneous and inhumane mass of people that deserves to be attacked. This study contributes to the field of discursive research on dehumanisation by deepening our knowledge of the specific features of Sinophobic hate speech. | input | 2 | 79,532 | 93 | 238,188 |
Please summerize the given abstract to a title | instruction | 0 | 79,535 | 93 | 238,195 |
Social media in health care: Exploring its use by health-care professionals in Greece | output | 1 | 79,535 | 93 | 238,196 |
The lockdown restrictions that have emerged during the COVID-19 pandemic have reshaped the way people live, work, and interact with each other. At the same time, it changed the way health-care professionals and national health-care systems around the world are fighting in this battle for public health. Social media (SoMe) have played their informational role in this fight with almost one-third of the world's population being active users of social media platforms. Contemporary health-care systems have tried to find ways to engage more actively with SoMe as Internet users are increasingly searching for health information on social media platforms. As a result, new demand-side levers arise in the health-care sector along with new opportunities and risks for the stakeholders. Our study looked into the responses of 173 health-care professionals in Greece. SoMe are here to stay and the majority of health-care professionals embrace them in their professional lives. Quality in health information and the work context of Greek health-care professionals in our cohort contribute to attitudes and perceptions of social media use in health care. | input | 2 | 79,535 | 93 | 238,197 |
Please summerize the given abstract to a title | instruction | 0 | 79,579 | 93 | 238,327 |
Social media and the spread of COVID-19 infodemic | output | 1 | 79,579 | 93 | 238,328 |
Purpose: The purpose of this paper is to investigate the social media application and the spread of COVID-19 infodemic in Nigeria. Design/methodology/approach: A descriptive survey research design was used for this study. A total of 1,200 social media users, regardless of their professions, were randomly selected for the study betweenmid-June and July 2020. Stratified and purposive sampling techniques were used for this study. The questionnaire was designed using Google form and administered using WhatsApp and Telegram to social media users above 18 years old in Nigeria. The data generated was analyzed using descriptive (frequency count) and inferential (mean) statistics, and was presented in tables. Findings: It was found that people make use of social media during COVID-19 pandemic for diverse reasons such as listening to announcement to be informed, knowing the necessary measures to take by those infected and spreading up-to-date information on the pandemic. Social media tools were highly used during the COVID-19 pandemic, especially WhatsApp and Zoom. Findings reflected that misinformation was spread on social media. This study also showed that the infodemic associated with COVID-19 is managed by confirming the source of the information before sharing it and trusting information from reliable sources. Research limitations/implications: The result of this research will contribute to the body of knowledge on social media application, fake news and the spread of COVID-19 infodemic in Nigeria and beyond. Practical implications: Infodemic is a disaster in the health sector. The spread of infodemic is capable of misleading people, losing trust in government, health providers and health regulatory authorities. This study will help social media users to know how to properly manage social media infodemic during a pandemic or any health-related situations. Originality/value: This study is novel as it approaches fake news from a COVID-19 perspective. Very few articles emanate from the developing countries in this area. This was because most of the narrative around fake news previously centered around the Western occurrences such as the Iraqi invasion by the USA, the US presidential elections and BREXIT. COVID-19 has demonstrated that the developing world is not immune from fake news as well. This study, therefore, assessed the management of infodemic associated with COVID-19 in Nigeria. © 2021, Emerald Publishing Limited. | input | 2 | 79,579 | 93 | 238,329 |
Please summerize the given abstract to a title | instruction | 0 | 79,720 | 93 | 238,750 |
End of preview. Expand
in Data Studio
- Downloads last month
- 8