Politics Go "Viral": A Computational Text Analysis of the Public Attribution and Attitude Regarding the COVID-19 Crisis and Governmental Responses on Twitter

The U.S. confronts an unprecedented public health crisis, the COVID-19 pandemic, in the presidential election year in 2020. In such a compound situation, a real-time dynamic examination of how the general public ascribe the crisis responsibilities taking account to their political ideologies is helpful for developing effective strategies to manage the crisis and diminish hostility toward particular groups caused by polarization. Social media, such as Twitter, provide platforms for the public's COVID-related discourse to form, accumulate, and visibly present. Meanwhile, those features also make social media a window to monitor the public responses in real-time. This research conducted a computational text analysis of 2,918,376 tweets sent by 829,686 different U.S. users regarding COVID-19 from January 24 to May 25, 2020. Results indicate that the public's crisis attribution and attitude toward governmental crisis responses are driven by their political identities. One crisis factor identified by this study (i.e., threat level) also affects the public's attribution and attitude polarization. Additionally, we note that pandemic fatigue was identified in our findings as early as in March 2020. This study has theoretical, practical, and methodological implications informing further health communication in a heated political environment. [ FROM AUTHOR] Copyright of Social Science Computer Review is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

In different worlds: The contributions of polarization and platforms to partisan (mis)perceptions

Partisanship, polarization, and platforms are foundational to how people perceive contentious issues. Using a probability sample (n = 825), we examine these factors in tandem across four political claims concerning US presidential elections and the COVID-19 pandemic. We find Democrats and Republicans differ in their belief in true and false claims, with each party believing more in pro-attitudinal claims than in counter-attitudinal claims. These results are especially pronounced for affectively polarized partisans. We also find interactions between partisanship and platform use where Republicans who use Google or Twitter are more likely to believe in false claims about COVID-19 than Republicans who do not use these platforms. Our findings highlight that Americans' beliefs in political claims are associated with their political identity through both partisanship and polarization, and the use of search and social platforms appears critical to these relationships. These findings have implications for understanding why realities are malleable to voter preferences in liberal democracies. [ FROM AUTHOR] Copyright of New Media & Society is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Measuring Network Polarization and Political Sectarianism During the 2020 Pandemic

Online social networks are at the limelight of the public debate, where antagonistic groups compete to impose conflicting narratives and polarize the discussions. This article proposes an approach for measuring network polarization and political sectarianism in Twitter based on user interaction networks. Centrality metrics identify a small group of influential users (polarizers and unpolarizers) who influence a larger group of users (polarizees and unpolarizees) according to their ideological stance (left, right, and undefined). This network polarization is computed by the Bayesian probability using typical actions such as following, tweeting, retweeting, and replying. The measurement of political sectarianism also uses Bayesian probability and words extracted from the tweets to quantify the intensity of othering, aversion, and moralization in the debate. We collected Twitter data from 33 conflicted political events in Brazil during 2020, strongly influenced by the COVID-19 pandemic. Based on our methodology and polarization score, our results reveal that the approach based on user interaction networks leads to an increasing understanding of polarized conflicts in Twitter. Also, a small number of polarizers is enough to represent the polarization and sectarianism of Twitter events. © 2014 IEEE.

Multiple Fano Resonances in Plasmonic Waveguide Based Cavity and Detection of Pathogenic Virus

A technique is implemented for the generation of multiple Fano-resonances in a plasmonic waveguide based rectangular cavity. A rectangular cavity provides four Fano peaks which can further be increased to nine by inserting the metallic bars in it. The trapped surface plasmon polaritons by metallic bars cause the generation of multiple Fano peaks over the wavelength range of 450 nm - 1300 nm. The obtained response is validated through Fano profile and Fano shape parameter is calculated for each resonance peak. The performance of the proposed device is numerically studied as refractive index sensor and method for analyzing the detection of pathogenic virus like SARS-Cov-2 is reported. Out of nine Fano peaks, the best values of sensing performance indices are obtained with full-width, half-maxima of 1.7 nm, quality factor of 405, sensitivity of 1145.71 nm/RIU and figure of merit of 393.25 RIU-1. IEEE

Retrospective Analysis of the Psychological Predictors of Public Health Support in Bulgarians at the Beginning of the Coronavirus Pandemic.

The earliest critical context of the pandemic, preceding the first real epidemiological wave of contagion in Bulgaria, was examined using a socio-affective perspective. A retrospective and agnostic analytical approach was adopted. Our goal was to identify traits and trends that explain public health support (PHS) of Bulgarians during the first two months of the declared state of emergency. We investigated a set of variables with a unified method within an international scientific network named the International Collaboration on Social & Moral Psychology of COVID-19 (ICSMP) in April and May 2020. A total of 733 Bulgarians participated in the study (67.3% females), with an average age of 31.8 years (SD = 11.66). Conspiracy Theories Beliefs were a significant predictor of lower PHS. Psychological Well-Being was significantly associated with Physical Contact and Anti-Corona Policy Support. Physical Contact was significantly predicted by fewer Conspiracy Theories Beliefs, higher Collective Narcissism, Open-mindedness, higher Trait Self-Control, Moral Identity, Risk Perception and Psychological Well-Being. Physical Hygiene compliance was predicted by fewer Conspiracy Theories Beliefs, Collective Narcissism, Morality-as-Cooperation, Moral Identity and Psychological Well-Being. The results revealed two polar trends of support and non-support of public health policies. The contribution of this study is in providing evidence for the affective polarization and phenomenology of (non)precarity during the outbreak of the pandemic.

Seven years of studying the associations between political polarization and problematic information: a literature review.

This literature review examines the intersection between political polarization and problematic information, two phenomena prominent in recent events like the 2016 Trump election and the 2020 COVID-19 pandemic. We analyzed 68 studies out of over 7,000 records using quantitative and qualitative methods. Our review revealed a lack of research on the relationship between political polarization and problematic information and a shortage of theoretical consideration of these phenomena. Additionally, US samples and Twitter and Facebook were frequently analyzed. The review also found that surveys and experiments were commonly used, with polarization significantly predicting problematic information consumption and sharing.

The Mediating Role of Depression in the Relationship Between News Consumption and Interparty Hostility During Covid-19

This article examines the association between different kinds of news consumption and interparty hostility and how this relationship is mediated by individuals' levels of depression during the Covid-19 pandemic. In a study conducted in the United States, we found a significant correlation between consumption of news and feelings of depression that was mediated by political ideology: Conservatives who consume news from CNN, MSNBC, national network TV news, and social media reported higher levels of depressive symptoms than did Liberals. Depressive symptoms, in turn, were associated with increased hatred and intolerance toward ordinary members of a political out-group. We show that depression, catalyzed by news consumption, is a fundamental factor that could explain the implications of the Covid-19 pandemic for levels of animosity among ideological groups.

Hyaluronan 2016–2021

More than 1100 published papers during 2016–2021 have "hyaluronan” in the title. This Encyclopedia of Cell Biology update focuses on 25 of these publications that we considered having important new directions for research on this fascinating Zen macromolecule that has a simple disaccharide structure and a very complex biology. There are likely several more publications during this time that fit this criteria. As hyaluronan has its own International Society (ISHAS) that meets biannually, the on-line booklets of meetings during this time provide insight into the wide range of ongoing hyaluronan research. © 2023 Elsevier Inc. All rights reserved.

DFT, molecular docking and ADME prediction of tenofovir drug as a promising therapeutic inhibitor of SARS-CoV-2 M-pro

In the present work, at first, DFT calculations were carried out to study the molecular structure of the tenofovir at B3LYP/MidiX level of theory and in the water as solvent. The HOMO/LUMO molecular orbitals, excitation energies and oscillator strengths of investigated drug were also calculated and presented. NBO analysis was performed to illustrate the intramolecular rehybridization and electron density delocalization. In the following, a molecular docking study was performed for screening of effective available tenofovir drug which may act as an efficient inhibitor for the SARS-CoV-2 M-pro. The binding energy value showed a good binding affinity between the tenofovir and SARS-CoV-2 Mpro with binding energy of-47.206 kcal/mol. Therefore, tenofovir can be used for possible application against the SARS-CoV-2 M-pro.

Targeting tumor-associated macrophages for cancer immunotherapy.

Tumor-associated macrophages (TAMs) are one of the most abundant immune components in the tumor microenvironment and play a plethora of roles in regulating tumorigenesis. Therefore, the therapeutic targeting of TAMs has emerged as a new paradigm for immunotherapy of cancer. Herein, the review summarizes the origin, polarization, and function of TAMs in the progression of malignant diseases. The understanding of such knowledge leads to several distinct therapeutic strategies to manipulate TAMs to battle cancer, which include those to reduce TAM abundance, such as depleting TAMs or inhibiting their recruitment and differentiation, and those to harness or boost the anti-tumor activities of TAMs such as blocking phagocytosis checkpoints, inducing antibody-dependent cellular phagocytosis, and reprogramming TAM polarization. In addition, modulation of TAMs may reshape the tumor microenvironment and therefore synergize with other cancer therapeutics. Therefore, the rational combination of TAM-targeting therapeutics with conventional therapies including radiotherapy, chemotherapy, and other immunotherapies is also reviewed. Overall, targeting TAMs presents itself as a promising strategy to add to the growing repertoire of treatment approaches in the fight against cancer, and it is hopeful that these approaches currently being pioneered will serve to vastly improve patient outcomes and quality of life.

The Presence of Political Bots on Twitter during the COVID-19 Crisis in Spain

The crisis caused by the COVID-19 pandemic has led to the decree of the State of Alarm in Spain and a severe home confinement that was softened in phases of de-escalation. During this period, social networks were used as a discussion tool. With this research we intend to find out if artificial intelligence tools were used in the political debate on Twitter. To achieve this, algorithms that determine the presence of bots in the conversation, their communicative roles and their relationship with the main political parties, were applied. The results show that disinformation campaigns were created by bots with the aim of manipulating public opinion. © 2023 Centro de Investigaciones Sociologicas. All rights reserved.

Politicization of a Pathogen: A Prospective Longitudinal Study of COVID-19 Responses in a Nationally Representative U.S. Sample

Understanding population-level variability in responses to pathogens over time is important for developing effective health-based messages targeted at ideologically diverse populations. Research from psychological and political sciences suggests that party and elite cues shape how people respond to major threats like climate change. Research on responses to the COVID-19 pandemic suggests similar variability across party identities;however, prior work has methodological limitations. This prospective, longitudinal study of a large probability-based nationally representative U.S. sample assessed in March–April 2020 (N = 6,514) and then 6 months later in September–October 2020 (N = 5,661) demonstrates that COVID-19 fear, perceived COVID-19 death risk, and reported health-protective behaviors became increasingly polarized over the first 6 months of the pandemic. Initial differences between Democrats and Republicans failed to converge over time and became more pronounced. Responses among Republicans were further polarized by support for former President Donald Trump: Trump Republicans initially reported weaker responses to COVID-19 than non-Trump Republicans, and these differences became more pronounced over time. Importantly, political identity and Trump support were not linked to perceived infection risk of a nonpoliticized pathogen, the flu. Finally, political identity and Republican Trump support prospectively predicted COVID-19 vaccine intentions 6 months into the pandemic. © 2023 International Society of Political Psychology.

Teaching controversial issues during a presidential election: Exploring how teachers navigated polarized politics in 2020

American politics today is the culmination of historical, political, social, geographic, and economic events that have significantly impacted this country. Over the last year, America and the world have been tested to political, social, and economic extremes not seen in over a century because of the Coronavirus (COVID-19) pandemic. Both the 2020 Presidential election and the storming of the Capitol on January 6th, 2021 are just two of the events that challenged teachers and educators across all levels of schooling to change and adapt teaching practices. It has forced citizens to have difficult conversations about democracy, equality, health, and safety. Educators tasked with teaching government and civics are required to teach political parties and the functions of government. However, in this current socially distant and polarized political climate, doing so was tremendously difficult. For some high school students and teachers, teaching secondary government is only a nine-week crash course into the functions of the government and rights outlined to students. Nine weeks to teach the functions of government, Constitution, rights of citizens, powers of the president, courts, and how federalism and states interact. Furthermore, only a small minority of students who take government courses do so during a presidential election cycle. This reality underscores the importance of understanding how teachers help students navigate such an important function of government. In this polarized political climate post-2016, it is of interest to study how teachers have prepared to teach the election and document their experience navigating campaign issues. This study hopes to shed light on the educational strategies and expectations of secondary government and civics teachers teaching controversial political topics surrounding the 2020 election. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

The politicized pandemic: Ideological polarization and the behavioral response to COVID-19.

In a representative sample of the U.S. population during the first summer of the COVID-19 pandemic, we investigate how prosociality and ideology interact in their relationship with health-protecting behavior and trust in the government to handle the crisis. We find that an experimental measure of prosociality based on standard economic games positively relates to protective behavior. Conservatives are less compliant with COVID-19-related behavioral restrictions than liberals and evaluate the government's handling of the crisis significantly more positively. We show that prosociality does not mediate the impact of political ideology. This finding means that conservatives are less compliant with protective health guidelines - independent of differences in prosociality between both ideological camps. Behavioral differences between liberals and conservatives are roughly only one-fourth of the size of their differences in judging the government's crisis management. This result suggests that Americans were more polarized in their political views than in their acceptance of public health advice.

Are we nearly there yet? New technology adoption and labor demand in Peru

Forecasts about the effects of new technologies on labor demand are generally pessimistic. However, little is known about the current level of technology adoption and its effect on labor demand, particularly in developing countries. This paper exploits a national representative employer survey and administrative data from Peru to offer empirical evidence in this regard. Our results show that the adoption of new technologies by firms is still incipient in the country. However, when adopted, they slightly reduce the demand for workers in the medium term, particularly those in high-skilled and non-routine occupations, with a temporary job contract, and during the COVID-19 pandemic.

Excessive IL-10 and IL-18 trigger hemophagocytic lymphohistiocytosis-like hyperinflammation and enhanced myelopoiesis.

BACKGROUND: Hyperinflammation is a life-threatening condition associated with various clinical disorders characterized by excessive immune activation and tissue damage. Multiple cytokines promote the development of hyperinflammation; however, the contribution of IL-10 remains unclear despite emerging speculations for a pathological role. Clinical observations from hemophagocytic lymphohistiocytosis (HLH), a prototypical hyperinflammatory disease, suggest that IL-18 and IL-10 may collectively promote the onset of a hyperinflammatory state. OBJECTIVE: We aimed to investigate the collaborative roles of IL-10 and IL-18 in hyperinflammation. METHODS: A comprehensive plasma cytokine profile for 87 secondary HLH patients was first depicted and analyzed. We then investigated the systemic and cellular effects of coelevated IL-10 and IL-18 in a transgenic mouse model and cultured macrophages. Single-cell RNA sequencing was performed on the monocytes/macrophages isolated from secondary HLH patients to explore the clinical relevance of IL-10/IL-18-mediated cellular signatures. The therapeutic efficacy of IL-10 blockade was tested in HLH mouse models. RESULTS: Excessive circulating IL-10 and IL-18 triggered a lethal hyperinflammatory disease recapitulating HLH-like phenotypes in mice, driving peripheral lymphopenia and a striking shift toward enhanced myelopoiesis in the bone marrow. IL-10 and IL-18 polarized cultured macrophages to a distinct proinflammatory state with pronounced expression of myeloid cell-recruiting chemokines. Transcriptional characterization suggested the IL-10/IL-18-mediated cellular features were clinically relevant with HLH, showing enhanced granzyme expression and proteasome activation in macrophages. IL-10 blockade protected against the lethal disease in HLH mouse models. CONCLUSION: Coelevated IL-10 and IL-18 are sufficient to drive HLH-like hyperinflammatory syndrome, and blocking IL-10 is protective in HLH models.

Complementary or Competing Frames? The Impact of Economic and Public Health Messages on COVID-19 Attitudes

The American reaction to the COVID-19 pandemic is polarized, with conservatives often less willing to engage in risk-mitigation strategies such as mask-wearing and vaccination. COVID-19 narratives are also polarized, as some conservative elites focus on the economy over public health. In this registered report, we test whether combining economic and public health messages can persuade individuals to increase support for COVID-19 risk mitigation. We present preliminary evidence that the combination of messages is complementary, rather than competing or polarizing. When given a message emphasizing COVID-19's negative health and economic effects in a pilot study, conservatives increased their support for a broad range of risk-mitigation strategies, while liberals maintained high levels of support. A preregistered larger-n follow-up study, however, failed to replicate this effect. While complementary frames may be a promising way to persuade voters on some issues, they may also struggle to overcome high levels of existing polarization.

Polarized opinions on Covid-19 and environmental policy measures. The role of social media use and personal concerns in German-speaking countries

The COVID-19 pandemic and the climate crisis are polarizing people's opinions worldwide, particularly with regard to restrictive policy measures. We examine the effects of social media use and personal concerns on opinions toward selected COVID-19 and environmental measures, and whether public opinion toward the two crises shows similar polarization patterns. The data is derived from an online survey conducted in German-speaking countries in the summer of 2020. Our analyses show that opinions toward COVID-19 measures are more polarized than toward environmental measures, and that personal concerns play a far greater role than social media use in shaping opinions toward policy measures for both crises. Only few platforms show significant and divergent effects, which we attribute to their different characteristics and potentials for the emergence of filter bubbles and echo chambers. We also observe a generational effect, suggesting that older individuals are more likely to support COVID-19 measures, while younger generations tend to do so for environmental measures. Furthermore, we find an unexpectedly high number of people who are completely opposed to all policy measures for both crises, again mainly due to personal concerns and attitudes. The results are discussed in the context of the time period in which the survey was conducted, as well as in relation to current developments, and from the perspective of the free-rider problem as a possible explanation for the one-sided polarization observed. [ FROM AUTHOR] Copyright of Innovation: The European Journal of Social Sciences is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Fu-Zheng-Xuan-Fei formula promotes macrophage polarization and Th17/Treg cell homeostasis against the influenza B virus (Victoria strain) infection.

ETHNOPHARMACOLOGICAL RELEVANCE: Fu-Zheng-Xuan-Fei formula (FF) is a prescription that has been clinically used through the basic theory of traditional Chinese medicine (TCM) for treating viral pneumonia. Although FF possesses a prominent clinical therapeutic effect, seldom pharmacological studies have been reported on its anti-influenza B virus (IBV) activity. AIM OF THE STUDY: Influenza is an acute infectious respiratory disease caused by the influenza virus, which has high annual morbidity and mortality worldwide. With a global decline in the COVID-19 control, the infection rate of influenza virus is gradually increasing. Therefore, it is of great importance to develop novel drugs for the effective treatment of influenza virus. Apart from conventional antiviral drugs, TCM has been widely used in the clinical treatment of influenza in China. Therefore, studying the antiviral mechanism of TCM can facilitate the scientific development of TCM. MATERIALS AND METHODS: Madin-Darby canine kidney cells (MDCK) and BALB/c mice were infected with IBV, and FF was added to evaluate the anti-IBV effects of FF both in vitro and in vivo by Western blotting, immunofluorescence, flow cytometry, and pathological assessment. RESULTS: It was found that FF exhibited anti-viral activity against IBV infection both in vivo and in vitro, while inducing macrophage activation and promoting M1 macrophage polarization. In addition, FF effectively regulated the signal transducer and activator of transcription (STAT) signaling pathway-mediated Th17/Treg balance to improve the lung tissue damage caused by IBV infection-induced inflammation. The findings provided the scientific basis for the antiviral mechanism of FF against IBV infection. CONCLUSIONS: This study shows that FF is a potentially effective antiviral drug against IBV infection.