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Resumo Objetivo Analisar os impactos da infodemia de COVID-19 nos sintomas sugestivos de depressão e transtorno de ansiedade generalizada (TAG) em idosos que utilizam as mídias digitais. Método Dados coletados por web-based survey, de julho a dezembro de 2020, na população acima de 60 anos (n=103.636) residente no município de Juiz de Fora, interior de Minas Gerais, Brasil. Foram analisadas variáveis sociodemográficas, de exposição a informações sobre COVID-19 e a associação a sintomas de depressão e TAG . Para o rastreio de depressão e de TAG foram utilizados a Escala de Depressão Geriátrica (EDG) e o Inventário de Ansiedade Geriátrica (GAI-BR), respectivamente. Para análise bivariada utilizou-se o teste do qui-quadrado e, posteriormente, a regressão de Poisson, controlada por possíveis fatores de confusão (RP ajustada) na análise múltipla, com intervalo de confiança de 95%. Resultados Dos 470 idosos respondentes, 26,1% apresentou sintomas de depressão e 18,4% TAG. Mostraram-se associados a sintomas de depressão: tempo de exposição nas redes sociais, sentir-se afetado pelas informações sobre COVID-19 veiculadas nas redes sociais e na televisão, e apresentar rastreio positivo para sofrimento psíquico causado e/ou agravado pela exposição às informações sobre COVID-19. Já para TAG, além do rastreio positivo para sofrimento psíquico, as variáveis que permaneceram associadas foram: respostas geradas pela divulgação de notícias falsas nas redes sociais e de medo relacionado à COVID-19 veiculadas no rádio. Conclusão Todas as variáveis associadas aos desfechos se referiam à exposição às informações sobre COVID-19, indicando o evidente impacto da infodemia nos sintomas de depressão e TAG em idosos.
Resumen Objetivo Analizar los impactos de la infodemia de COVID-19 en los síntomas sugestivos de depresión y trastorno de ansiedad generalizada (TAG) en adultos mayores que utilizan los medios digitales. Métodos Datos recopilados por web-based survey, de julio a diciembre de 2020, en la población de más de 60 años (n=103.636) domiciliados en el municipio de Juiz de Fora, interior de Minas Gerais, Brasil. Se analizaron variables sociodemográficas, de exposición a información sobre COVID-19 y su relación con síntomas de depresión y TAG. Para el rastreo de depresión y de TAG se utilizó la Escala de Depresión Geriátrica (EDG) y el Inventario de Ansiedad Geriátrica (GAI-BR), respectivamente. Para el análisis bivariado se utilizó la prueba de Ji cuadrado y, posteriormente, la regresión de Poisson, controlada por posibles factores de confusión (RP ajustada) en el análisis múltiple, con intervalo de confianza del 95 %. Resultados De los 470 adultos mayores que lo respondieron, el 26,1 % presentó síntomas de depresión y el 18,4 % TAG. Se mostraron asociados a síntomas de depresión los factores: tiempo de exposición en las redes sociales, sentirse afectado por la información sobre COVID-19 difundida en redes sociales y televisión, y presentar un rastreo positivo de sufrimiento psíquico causado o agravado por la exposición a la información sobre COVID-19. Por otro lado, las variables que permanecieron asociadas al TAG, además del rastreo positivo de sufrimiento psíquico, fueron: respuestas generadas por la divulgación de noticias falsas en las redes sociales y del miedo relacionado con el COVID-19 difundidas en la radio. Conclusión Todas las variables asociadas a los desenlaces mencionaron la exposición a información sobre COVID-19, lo que indica el evidente impacto de la infodemia en los síntomas de depresión y TAG en adultos mayores.
Abstract Objective To analyze the impacts of the COVID-19 infodemic on symptoms suggestive of depression and generalized anxiety disorder (GAD) in older adults who use digital media. Method Data collected by web-based survey, from July to December 2020, in the population over 60 years old (n=103,636) residing in the municipality of Juiz de Fora, in the countryside of Minas Gerais, Brazil. Sociodemographic variables, exposure to information about COVID-19 and the association with symptoms of depression and GAD were analyzed. The Geriatric Depression Scale (GDS) and the Geriatric Anxiety Inventory (GAI-BR) were used to screen for depression and GAD, respectively. For bivariate analysis, the chi-square test was used and, later, Poisson regression, controlled for possible confounding factors (adjusted PR) in the multiple analysis, with a 95% confidence interval. Results Of the 470 older adults who responded, 26.1% had symptoms of depression, and 18.4%, GAD. They were associated with symptoms of depression: time of exposure on social media; feeling affected by information about COVID-19 transmitted on social media and TV; and presenting positive screening for psychological distress caused and/or aggravated by exposure to information about COVID-19. For GAD, in addition to the positive screening for psychological distress, the variables that remained associated were: responses generated by dissemination of fake news on social media; and fear COVID-19-related fear published on the radio. Conclusion All variables associated with outcomes referred to exposure to information on COVID-19, indicating the evident infodemic impact on symptoms of depression and GAD in older adults.
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Introduction: In addition to the health crisis that erupted during the COVID-19 pandemic, the war between Russia and Ukraine is impacting the mental health and wellbeing of the Romanian population in a negative way. Objectives: This study sets out to investigate the impact that social media consumption and an overload of information related to the armed conflict between Russia and Ukraine is having on the distribution of fake news among Romanians. In addition, it explores the way in which several psychological features, including resilience, general health, perceived stress, coping strategies, and fear of war, change as a function of exposure to traumatic events or interaction with victims of war. Methods: Participants (N = 633) completed the General Health Questionnaire (GHQ), the CERQ scale with its nine subscales, the Perceived Stress Scale (PSS), and the BRS scale (Brief Resilience Scale), the last of which measures resilience. Information overload, information strain and the likelihood of the person concerned spreading fake news were assessed by adapting items related to these variables. Findings: Our results suggest that information strain partially moderates the relationship between information overload and the tendency to spread false information. Also, they indicate that information strain partially moderates the relationship between time spent online and the tendency to spread false information. Furthermore, our findings imply that there are differences of high and moderate significance between those who worked with refugees and those who did not as regards fear of war and coping strategies. We found no practical differences between the two groups as regards general health, level of resilience and perceived stress. Conclusion and recommendations: The importance of discovering the reasons why people share false information is discussed, as is the need to adopt strategies to combat this behavior, including infographics and games designed to teach people how to detect fake news. At the same time, aid workers need to be further supported to maintain a high level of psychological wellbeing.
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Concern over the impact of fake news on major socio-political events is growing. The use of deliberate misinformation is thought to have played a role in the outcome of the UK EU referendum, the 2016 US presidential election, and in the effectiveness of COVID-19 public health messaging. As a result, recent research has tended to focus on hyper-partisan (e.g., US politics; Democrat/Republican), person specific (e.g., Hillary Clinton/Donald Trump) content that incorporates emotive and hyperbolic language. However, in this study, we focus on an alternative form of fake news, across a variety of topics (e.g., Crime, Immigration, and Health), that avoids these characteristics, and which may therefore be more pervasive and difficult to detect. In a three-part study, we examined participants sharing intentions for fake news (including platform preference; Facebook, Twitter, Instagram, and WhatsApp), their ability to explicitly detect fake news, and whether individual differences on psychological measures of critical thinking ability, rational thinking, and emotional stability predict sharing behavior and detection ability. The results show that even our well-informed sample (political science students) were not immune to the effects of fake news, some issues (e.g., health and crime) were more likely to be shared than others (e.g., immigration), and on specific platforms (e.g., Twitter, Facebook). In addition, we show that individual differences in emotional stability appears to be a key factor in sharing behavior, while rational thinking aptitude was key to fake news detection. Taken together, this study provides novel data that can be used to support targeted fake news interventions, suggesting possible news topic, sharing behavior, and platform specific insights. Such interventions, and implications for government policy, education, and social media companies are discussed.
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Background: The objective of the study was to evaluate the effect of Colchicine 0.5 mg and Aspirin 75 mg oral tablets given together on management of moderate COVID-19. Methods: The study was carried out in 122 moderate COVID-19 patients between ages 40-80 years in hospital, instructed to take either 1 tablet of Colchicine 0.5 mg and Aspirin 75 mg each (treatment group), or 1 tablet of Aspirin 75 mg (Control group), twice a day along with standard of care. Result: At the end of treatment, reduction was seen in the treatment group in score of 8-point ordinal scale, troponin, D-Dimer, Hs-CRP from baseline. There was a fall of 51.1% among control arm and 53.4% among treatment arm in 8-point ordinal score. The reduction in mean D-Dimer was 37% in control group and 38.1% in treatment group. The mean reduction in CT severity score in control group was 3.65 and in treatment group was 4.82, and the difference between the two groups was statistically significant (P value = 0.018). Conclusion: It was evident from CT scan scores that the treatment group has shown significant improvement in the reduction of inflammation and other COVID-19 symptoms as compared to the control group. The fall in Ferritin, Hs-CRP and D-Dimer level after treatment were indicative of improvement in internal inflammatory response of body in COVID-19 disease. As increased troponin levels indicate some degree of heart damage, the fall in troponin levels indicated that test treatment improved heart health in COVID-19 patients.
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OBJECTIVES: The current study aimed to explore regional nurses' perspectives of how bad news is delivered and the physical, natural, social, and symbolic environments where these conversations occur. BACKGROUND: In regional hospitals within Victoria, Australia, palliative and end-of-life patients are cared for in acute wards that are often busy, noisy, and do not have a palliative psychosocial focus. On the other hand, Palliative Care Units (PCUs) have more home-like dedicated spaces, yet nearly all these facilities are in metropolitan areas. Diagnostic/prognostic (bad news) conversations about life-limiting illnesses often occur at the bedside in both environments. METHOD: Nurses providing palliative or end-of-life care in regional or metropolitan Victorian hospital inpatient wards were invited to interview and recruited through social media and snowballing. Six semi-structured, audio-recorded online interviews were conducted between March and May 2022, and themes were developed using reflexive thematic analysis. RESULTS: Semi-structured online interviews were conducted with six female, registered nurses, four of whom worked in regional Victorian hospitals and two in metropolitan PCUs as Nurse Unit Managers. Three central themes were developed: "conducting family meetings," "palliative care practice," and "the environment matters." CONCLUSIONS: A therapeutic environment for palliative patients and their families consists of home-like ambience and aesthetics and a psychosocial environment created by staff who can provide holistic palliative care. Holistic palliative care requires mentoring and mirroring of expert practice to increase the expertise and capacity of the palliative care workforce in acute general hospital wards.
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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.
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Background The coronavirus disease 2019 (COVID-19) pandemic resulted in mortality and morbidity worldwide. Many treatment modalities have been experimented with limited success. Therefore, the traditional system of medicine needs to be explored. Objective To evaluate the benefits of Unani regimensTiryaq-e-Arba and Unani Joshanda, as adjuvant therapy, were compared to standard treatment alone among reverse transcription polymerase chain reaction (RT-PCR)-confirmed mild to moderate COVID-19 cases. Materials and methods An open-label, double-arm, randomized, controlled interventional clinical study was conducted among 90 RT-PCR-confirmed mild to moderate COVID-19 inpatients admitted to a tertiary care hospital in New Delhi, India. Participants who fulfilled the criteria for inclusion were randomly assigned to two arms, with 43 subjects allocated to the Unani add-on arm and 47 subjects to the control arm receiving standard treatment alone. Results Clinical recovery was achieved in all patients of the Unani arm, while in the control arm, three (6.4%) patients deteriorated and had to be shifted to ICU following admission. In the intervention arm, a shorter duration of hospitalization was observed (mean 5.95 days {SD = 1.99}) than in the control arm (mean 7.62 days {SD, 4.06}); which was a statistically significant difference (p-value 0.017). The majority of the patients recovered within 10 days in the Unani add-on arm. The number of days taken for the reduction of symptoms was significantly less in the intervention arm (mean 5.14 days {SD, 2.39}) as compared with standard treatment (mean 6.53 days {SD, 3.06}) (p < 0.02). Renal and liver safety parameters were within the normal limits in both arms and no serious adverse event was reported. Conclusion Adding Unani formulations to standard treatment significantly reduced the duration of hospital stay and showed early recovery in COVID-19 patients compared with the control arm. It may be concluded that the synergistic effect of the Unani add-on with standard treatment gave more promising results in mild to moderate COVID-19 patients.
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The COVID-19 pandemic has come to the end. People have started to consider how quickly different industries can respond to disasters due to this public health emergency. The most noticeable aspect of the epidemic regarding news text generation and social issues is detecting and identifying abnormal crowd gatherings. We suggest a crowd clustering prediction and captioning technique based on a global neural network to detect and caption these scenes rapidly and effectively. We superimpose two long convolution lines for the residual structure, which may produce a broad sensing region and apply our model's fewer parameters to ensure a wide sensing region, less computation, and increased efficiency of our method. After that, we can travel to the areas where people are congregating. So, to produce news material about the present occurrence, we suggest a double-LSTM model. We train and test our upgraded crowds-gathering model using the ShanghaiTech dataset and assess our captioning model on the MSCOCO dataset. The results of the experiment demonstrate that using our strategy can significantly increase the accuracy of the crowd clustering model, as well as minimize MAE and MSE. Our model can produce competitive results for scene captioning compared to previous approaches.
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With nearly 4,500 attendees gathered in San Diego CA, the TMS 2023 Annual Meeting & Exhibition (TMS2023) was the fourth best-attended meeting in TMS history, marking a return to business as usual (more or less) after two decidedly unusual years for the Society's biggest event. By comparison, approximately 2,600 individuals came together in person for TMS2022 in Anaheim CA. One year earlier, TMS2021--held as a fully virtual conference--attracted 2,967 attendees from around the world. This year's event, held Mar 19-23 in one of TMS's most popular meeting locations, brought the conference back closer to its pre-COVID participation numbers. The last time TMS met in San Diego was in 2020 (shortly before widespread pandemic shutdowns began) when more than 4,600 individuals came together for the largest meeting in the Society's history.
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The COVID-19 pandemic has become a partisan issue rather than an independent public health issue in the US. This study examined the behavioural consequences of motivated reasoning and framing by investigating the impacts of COVID-19 news exposure and news frames, as apparent through a Latent Dirichlet topic modelling analysis of local news coverage, on state-level preventive behaviours as understood through a nationally representative survey. Findings suggested that the media effects on various preventive behaviours differed. The overall exposure rate to all COVID-19 news articles increased mask-wearing but did not significantly impact other preventive behaviours. Four news frames significantly increased avoiding contact or avoiding public or crowded places. However, news articles discussing anxiety and stay at home order triggered resistance and countereffects and led to risky behaviours. ‘Solid Republican' state residents were less likely to avoid contact, avoid public or crowded places, and wear masks. However, partisan leanings did not interfere with the impact of differing local COVID-19 news frames on reported preventive behaviours. Plus, statements regarding pre-existing trust in Trump did not correlate with reported preventive behaviour. Attention to effect sizes revealed that news exposure and news frames could have a bigger impact on health behaviours than motivated reasoning.
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COVID-19 is a widespread contagious viral infection that can severely affect the respiratory system. Although many people recover from using the disease without special care or treatment, pregnant women are particularly vulnerable to pulmonary infections due to their hangers systems system and physiology. To investigate the treatment provided to pregnant women who are PCR-positive for COVID-19 in their early three months of pregnancy, a reanalyzed analyzed data from 84 participants who received treatment at Tangerang Regional Hospital in 2 study was the study conducted based on an ases of observational investigation with a cross-sectional approach. It assembled the data for analysis of the chi-square test. The results showed that 92.9% of participants underwent a cesarean section, while the remaining 7.1% were discharged after giving birth typically or recovering. Additionally, the study did not find any correlation between factors such as age, education, work, gravida, ANC visit, and the impact of COVID-19 on the third trimester of pregnancy at Tangerang Hospital in 2022. The study recommends that pregnant women seek information about pregnancy care from healthcare providers, particularly midwives, posyandu officers, and the media, to make well-known decisions about their health and well-being during this critical period, ensuring a safe and healthy pregnancy outcome.
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On social media, misinformation can spread quickly, posing serious problems. Understanding the content and sensitive nature of fake news and misinformation is critical to prevent the damage caused by them. To this end, the characteristics of information must first be discerned. In this paper, we propose a transformer-based hybrid ensemble model to detect misinformation on the Internet. First, false and true news on Covid-19 were analyzed, and various text classification tasks were performed to understand their content. The results were utilized in the proposed hybrid ensemble learning model. Our analysis revealed promising results, establishing the capability of the proposed system to detect misinformation on social media. The final model exhibited an excellent F1 score (0.98) and accuracy (0.97). The AUC (Area Under The Curve) score was also high at 0.98, and the ROC (Receiver Operating Characteristics) curve revealed that the true-positive rate of the data was close to one in this model. Thus, the proposed hybrid model was demonstrated to be successful in recognizing false information online. © 2022 IEEE.
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Coronavirus disease 2019 (COVID-19) has been admitted by WHO as a global pandemic. The successes-ness in controlling COVID-19 is extremely affected by the knowledge and perception of society. Apothecary students must be competent in carrying out the health promotion effort;one of them is through education. Discovering the impact of education from apothecary students in improving knowledge and perception of the society in controlling COVID-19. One group Quasi-experimental design without a control group (n=102). The data was conducted in March-April 2020 using a validated questionnaire containing the respondents' demographic, knowledge, and perception of COVID-19. This research is 18 years old, does not work as a health worker/medical personnel, domiciled in Yogyakarta, and fills up the pre-test and post-test questionnaire. The data were analyzed descriptively and used the Wilcoxon test (p<0.05) as the statistic test. Most respondents are 52.9% women, 34.31% aged 36-45, with 52.94% having a high school education level. The survey result shows that 71.57% of respondents admit that they know about COVID-19 from television and 2.43% from social media. The answer distribution of questioner on knowledge and perception shows improvements in the pre-test and post-test scores. The Wilcoxon test result, the influence of education on respondents' knowledge and perception, shows the significance of p value=0.000 with the outcome of pre-test and post-test scores with the good category are 67.65% and 5.29%. The presentation of education from apothecary students significantly influences society's knowledge and perception of controlling COVID-19.
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In the past few years, social media and online news platforms have played an essential role in distributing news content rapidly. Consequently. verification of the authenticity of news has become a major challenge. During the COVID-19 outbreak, misinformation and fake news were major sources of confusion and insecurity among the general public. In the first quarter of the year 2020, around 800 people died due to fake news relevant to COVID-19. The major goal of this research was to discover the best learning model for achieving high accuracy and performance. A novel case study of the Fake News Classification using ELECTRA model, which achieved 85.11% accuracy score, is thus reported in this manuscript. In addition to that, a new novel dataset called COVAX-Reality containing COVID-19 vaccinerelated news has been contributed. Using the COVAX-Reality dataset, the performance of FNEC is compared to several traditional learning models i.e., Support Vector Machine (SVM), Naive Bayes (NB), Passive Aggressive Classifier (PAC), Long Short-Term Memory (LSTM), Bi-directional LSTM (Bi-LSTM) and Bi-directional Encoder Representations from Transformers (BERT). For the evaluation of FNEC, standard metrics (Precision, Recall, Accuracy, and F1-Score) were utilized.
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The present time brings a lot of controversy and issues on economic, social and political ground. Time did not pass leaving opportunity for taking a breath from the Covid-19 pandemic, because the Ukrainian-Russian war started. This conflict unbalanced the commercial frame of Europe and prices started to go up, inducing reasons for insecurity fear for the wellbeing of tomorrow. Many people started to be anxious, and their symptoms included tachycardia, dyspnea, insomnia, headaches etc. All these symptoms are exacerbated by interfering with news from the media regarding the abovementioned socio-economic problems. Usually women are tented to be more influenceable and more alert, presenting themselves for evaluation in a medical cabinet.
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The study focuses on the framing of the COVID-19 pandemic in German parliamentary debates and media reports. It concentrates on the first three pandemic waves. The goal is not only to compare political and media framing, but also to show how frames changed from wave to wave. A content analysis of plenary protocols and articles from Welt Online and SZ Online has been carried out, coding single frame elements instead of complete frames, which are instead formed through cluster analyses. Results show that there are differences between government and opposition framing of the pandemic, with the opposition parties criticising the government's crisis management, while the governing parties justified their policies. Concerning the relationship between media and political framing, findings indicate that similar frames are used in both arenas. Nevertheless, differences in frequency are evident. The results show no evidence to support the assumption that frames of the governing parties are picked up more frequently by the media. Moreover, there are no signs of frame alignment between political actors and the media in the early stages of the pandemic nor of a diversification thereafter.
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Online news and information sources are convenient and accessible ways to learn about current issues. For instance, more than 300 million people engage with posts on Twitter globally, which provides the possibility to disseminate misleading information. There are numerous cases where violent crimes have been committed due to fake news. This research presents the CovidMis20 dataset (COVID-19 Misinformation 2020 dataset), which consists of 1,375,592 tweets collected from February to July 2020. CovidMis20 can be automatically updated to fetch the latest news and is publicly available at: https://github.com/everythingguy/CovidMis20. This research was conducted using Bi-LSTM deep learning and an ensemble CNN+Bi-GRU for fake news detection. The results showed that, with testing accuracy of 92.23% and 90.56%, respectively, the ensemble CNN+Bi-GRU model consistently provided higher accuracy than the Bi-LSTM model. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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COVID-19 has crowned a number of other disasters (wildfires in Australia, Desert Locusts in Kenya, an imminent WWIII merging Iran and the US), causing panic to click into place and horror to become our global predicament, making us realize that we live in the illusion of the permanence of things, of mastery, and of immortality. People's turning to social media for trans-local news on COVID-19 has stirred great ire in the world. This led to the proliferation of dark images that associate the viral catastrophe with the end as we know it. To problematize the idea of the apocalypse (or the end) this paper speaks of three moments of survival in human existence: the beneath, the behind and the beyond. We argue that the apocalyptic nature of the pandemic and its global horrorism are part of a congeries of apocalyptic simulations that have always been part of the narrative with which we try to define ourexistence on earth. This paper masks itself against perfunctory examinations of the term apocalypse, and offers instead an understanding that runs along the lines of its Greek etymological sense as apokalyptein (revelation). It offers what Foucault calls an ontology of the present, that interrogates the history of COVID -19 with an emphasis neither on its origin nor on its telos. As beyondists, the COVID-19 catastrophe has revealed to us that 1) we have ‘access to knowledge beyond knowledge' (see Gumpert 2012), and therefore that 2) our modern predicament is not very modern. The end, (not) to be sure, has been lived and relived in the boundary between reality and simulation. After all, the end of something comprises the beginning (in reverse) of that which "endeth”, throwing the beyond, behind and beneath in the Ferris wheel of epistemological and existential entanglement.
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The present study explores the impact of COVID-19 on the volatility structure of the sectoral market in India. ARMA(p,q)- GJR-GARCH(1, 1)-std model is used to determine the daily conditional volatility for 13 selected sectors over the period starting from January 2020 to December 2021. The quantile regression model is employed to examine the changes in the structure of volatility in each sector over the pandemic duration. The results of the study show that the volatility of Metal, Oil–Gas and PSU are more sensitive to market volatility, whereas the volume of new COVID-19 cases exceeds the threshold limit, and no extreme spillover is observed from the market volatility. In addition to this, Bankex, Metal, Oil–Gas, Private Banks and Power sector volatility are more responsive to news sentiments during the period of increase in new COVID-19 cases. Furthermore, the results also reveal that news sentiments help to control the significant fluctuation in the sectoral market. © 2023 MDI.
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One of the fundamental objectives of higher education is to prepare students to think analytically in order to develop and create knowledge, thus going beyond receiving information and building simple knowledge. That is why higher education must adapt its teaching and learning process to cultivate critical thinking of students. In order for academia to ensure the effectiveness of the development of critical thinking skills, student perceptions cannot be neglected, given that they are the ultimate receptors. In addition, investigating students' perceptions of critical thinking skills could guide future training methods that promote their development. The purpose of this research is to explore students' attitudes and beliefs regarding critical thinking skills, as well as aspects of their development in academia and their transfer to other contexts. The study is conducted at the Dunarea de Jos University of Galaţi and uses the questionnaire survey method to assess students' perceptions of critical thinking, from several perspectives: the level of knowledge on critical thinking skills, strategies for learning critical thinking skills, the qualities of a critical thinker, the way students relate to the COVID 19 pandemic and fake news. To obtain the necessary data, the questionnaire was distributed through Microsoft Forms and subsequently analyzed to describe students' views on critical thinking. A sample of 101 students from specializations in the field of socio-humanities completed this survey. The results of the study showed that students invoke the need to overcome difficulties in developing critical thinking skills by: training teachers to use critical thinking in the classroom;including and practicing critical thinking skills in applied activities at courses and seminars;applying debates and discussions in the classroom as teaching and learning strategies;translating the theories learned in courses into different case studies;use of training skills, questionnaires, homework;participation in group projects in a collaborative environment. [ FROM AUTHOR] Copyright of Romanian Journal for Multidimensional Education / Revista Romaneasca pentru Educatie Multidimensionala is the property of Lumen Publishing House 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.)