Sadness, Negativity, and Uncertainty in Education During COVID-19 on Social Media

The global COVID-19 pandemic increased social media usage to obtain information and to share concerns, feelings, and emotions, turning it into a prolific field of research through which it is possible to understand how audiences are coping with the multitude of recent challenges. This paper presents results from a social media analysis of 61532 education-related news headlines posted by the major daily news provider in Portugal, Sic Notícias, on Facebook, from January to December 2020. We focus on how the news impacted on audiences' emotional response and discourse, and we analyze the key issues of the most commented news content. The results show a prevailing sadness among audiences and a very negative discourse all throughout 2020, with a high degree uncertainty being expressed. The main concerns revolved around parents supporting children in their first remote learning endeavors, financial sustainability, the lack of devices, the disinfection of schools, and the students' mobility, particularly in the non-higher education context.

Using Social Media Categorical Reactions as a Gateway to Identify Hate Speech in COVID-19 News.

The spread of COVID-19 news on social media provided a particularly prolific ground for emotional commotion, disinformation and hate speech, as uncertainty and fear grew by the day. In this paper, we examine the media coverage of the COVID-19 outburst in Portugal (March-May 2020), the subsequent emotional engagement of audiences and the entropy-based emotional controversy generated as a gateway to detect the presence of hate speech, using computer-assisted qualitative data analysis (CAQDAS) embedded in a cross-sectional descriptive methodology. Our results reveal that negative and volatile categorical emotions ("Angry", "Haha" and "Wow") serve as main engines for controversy, and that controversial news have the highest sharing ratio. Moreover, using a small sample of the most controversial news with the highest overall emotional engagement, we establish a relation between the entropy-based emotional controversy obtained from Facebook's click-based reactions and the presence of cultural and ethnic hate speech, plausibly confirming the click-based categorical emotions as a gateway to hatred comment pools. In doing so, we also reveal that negative emotions alone do not always indicate the presence of hate speech, which may sprout in seemingly humorous social media posts where irony proliferates, and negativity is not apparent. This work adds to the literature on social media categorical emotion detection and its implications for the detection of hate speech.

Using Social Media Categorical Reactions as a Gateway to Identify Hate Speech in COVID-19 News

The spread of COVID-19 news on social media provided a particularly prolific ground for emotional commotion, disinformation and hate speech, as uncertainty and fear grew by the day. In this paper, we examine the media coverage of the COVID-19 outburst in Portugal (March–May 2020), the subsequent emotional engagement of audiences and the entropy-based emotional controversy generated as a gateway to detect the presence of hate speech, using computer-assisted qualitative data analysis (CAQDAS) embedded in a cross-sectional descriptive methodology. Our results reveal that negative and volatile categorical emotions (“Angry”, “Haha” and “Wow”) serve as main engines for controversy, and that controversial news have the highest sharing ratio. Moreover, using a small sample of the most controversial news with the highest overall emotional engagement, we establish a relation between the entropy-based emotional controversy obtained from Facebook’s click-based reactions and the presence of cultural and ethnic hate speech, plausibly confirming the click-based categorical emotions as a gateway to hatred comment pools. In doing so, we also reveal that negative emotions alone do not always indicate the presence of hate speech, which may sprout in seemingly humorous social media posts where irony proliferates, and negativity is not apparent. This work adds to the literature on social media categorical emotion detection and its implications for the detection of hate speech.

Sadness, Negativity, and Uncertainty in Education During COVID-19 on Social Media

The global COVID-19 pandemic increased social media usage to obtain information and to share concerns, feelings, and emotions, turning it into a prolific field of research through which it is possible to understand how audiences are coping with the multitude of recent challenges. This paper presents results from a social media analysis of 61532 education-related news headlines posted by the major daily news provider in Portugal, Sic Notícias, on Facebook, from January to December 2020. We focus on how the news impacted on audiences’ emotional response and discourse, and we analyze the key issues of the most commented news content. The results show a prevailing sadness among audiences and a very negative discourse all throughout 2020, with a high degree uncertainty being expressed. The main concerns revolved around parents supporting children in their first remote learning endeavors, financial sustainability, the lack of devices, the disinfection of schools, and the students’ mobility, particularly in the non-higher education context.

Histo-blood group A is a risk factor for severe COVID-19.

OBJECTIVES: Evaluate the impact of ABO histo-blood group type on COVID-19 severity. BACKGROUND: ABO histo-blood type has been associated with different outcomes in infectious diseases. It has also shown a higher proportion of type A patients with SARS-CoV-2. In this observational study, extracted from an ongoing clinical trial on the efficacy of convalescent plasma transfused in COVID-19 patients, we describe the impact of ABO blood type on the risk of developing severe COVID-19. MATERIALS AND METHODS: Seventy-two consecutive patients (37 type A, 23 type O, 11 type B, 1 type AB) with severe (respiratory failure) COVID-19 were included. Control group was composed of 160 individuals randomly selected from the same populational basis. RESULTS: Blood group A was overrepresented (51.39%) in the patient group in relation to the control group (30%), whereas blood group O was less represented (31.94%) in patient than in control group (48%). Odds ratio (A vs. O) was 2.581 (1.381-4.817), CI 95%; p = 0.004. Also, blood group A patients appeared to have more severe disease, given by the scores of the Sequential Organ Failure Assessment and Simplified Acute Physiologic Score 3 (p = 0.036 and p = 0.058, respectively). CONCLUSION: Histo-blood type A is associated with a higher risk of developing severe COVID-19 in relation to blood type O.

Prognostic factors in patients with advanced cancer and COVID-19: a cohort from the Palliative Care Unit of the Brazilian National Cancer Institute.

OBJECTIVE: To describe overall survival (OS) in 90 days and to evaluate the prognostic factors in patients with advanced cancer and COVID-19. METHODS: This is a retrospective cohort study carried out at the Palliative Care Unit of the Brazilian National Cancer Institute. Patients with advanced cancer and COVID-19 confirmed by Reverse Transcription Polymerase Chain Reaction were included. Kaplan-Meier's curves, log-rank test, and Cox regression were performed. RESULTS: Eighty-three inpatients were selected. The average age was 61.4 (±12.6) years, with a higher proportion of women (73.4%). The most prevalent tumor type was breast (36.7%), followed by gastrointestinal tract (20.3%). The OS was 32 [interquartile range (IQR): 6-70] days, and at the end of the follow-up period, 17 patients (20.5%) were alive and 66 (79.5%) had died. Patients with advanced cancer and COVID-19 and who were 60-74 years old [hazard ratio (HR): 2.03; 95% confidence interval (CI): 1.09-3.78], with lung tumors (HR: 17.50; 95% CI: 1.70-28.34), with lung metastasis (HR: 4.21; 95% CI: 2.17-8.15), and with chronic obstructive pulmonary disease (HR: 4.92; 95% CI: 1.01-24.69) had higher risk of death in 90 days. CONCLUSION: The age of 60-74 years old, lung tumors (primary or metastases), and the presence of chronic obstructive pulmonary disease were considered independent prognostic factors in patients with advanced cancer and COVID-19.

Palliative Care and COVID-19 Pandemic: Retrospective Study of Factors Associated With Infection and Death at an Oncological Palliative Care Reference Center.

BACKGROUND: Advanced cancer patients are part of a group likely to be more susceptible to COVID-19. AIMS: To describe the profile of advanced cancer inpatients to an exclusive Palliative Care Unit (PCU) with the diagnosis of COVID-19, and to evaluate the factors associated with death in these cases. DESIGN: Retrospective cohort study with data from advanced cancer inpatients to an exclusive PCU, from March to July 2020, with severe acute respiratory syndrome. Diagnostic of COVID-19 and death were the dependent variables. Logistic regression analyses were performed, with the odds ratio (OR) and 95% confidence interval (CI). RESULTS: One hundred fifty-five patients were selected. The mean age was 60.9 (±13.4) years old and the most prevalent tumor type was breast (30.3%). Eighty-three (53.5%) patients had a diagnostic confirmation of COVID-19. Having diabetes mellitus (OR: 2.2; 95% CI: 1.1-6.6) and having received chemotherapy in less than 30 days before admission (OR: 3.8; 95% CI: 1.2-12.2) were associated factors to diagnosis of COVID-19. Among those infected, 81.9% died and, patients with Karnofsky Performance Status (KPS) < 30% (OR: 14.8; 95% CI 2.7-21.6) and C-reactive protein (CRP) >21.6mg/L (OR: 9.3; 95% CI 1.1-27.8), had a greater chance of achieving this outcome. CONCLUSION: Advanced cancer patients who underwent chemotherapy in less than 30 days before admission and who had diabetes mellitus were more likely to develop Coronavirus 2019 disease. Among the confirmed cases, those hospitalized with worse KPS and bigger CRP were more likely to die.