ABSTRACT
Although the most common clinical findings of Coronavirus disease-19 (COVID-19) are fever, cough and difficulty in breathing, there are also findings related to other systems and organ involvement. There are increasing reports of dermatological symptoms. The timing of skin symptoms varies in COVID-19 cases. Maculopapular rash, which is one of the common dermatological symptoms, may be associated with COVID-19 or may be seen in different clinical conditions such as drug reactions. This situation when evaluated together with the variations in the timing of findings, causes difficulties in differential diagnosis. In this report, two cases who were followed up with the diagnosis of COVID-19 and applied with symptoms of widespread maculopapular rash following the clinical recovery period are presented. © 2022, Pamukkale University. All rights reserved.
ABSTRACT
We describe the fifth edition of the CheckThat! lab, part of the 2022 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to factuality in multiple languages: Arabic, Bulgarian, Dutch, English, German, Spanish, and Turkish. Task 1 asks to identify relevant claims in tweets in terms of check-worthiness, verifiability, harmfullness, and attention-worthiness. Task 2 asks to detect previously fact-checked claims that could be relevant to fact-check a new claim. It targets both tweets and political debates/speeches. Task 3 asks to predict the veracity of the main claim in a news article. CheckThat! was the most popular lab at CLEF-2022 in terms of team registrations: 137 teams. More than one-third (37%) of them actually participated: 18, 7, and 26 teams submitted 210, 37, and 126 official runs for tasks 1, 2, and 3, respectively.
ABSTRACT
We present an overview of CheckThat! lab 2022 Task 1, part of the 2022 Conference and Labs of the Evaluation Forum (CLEF). Task 1 asked to predict which posts in a Twitter stream are worth fact-checking, focusing on COVID-19 and politics in six languages: Arabic, Bulgarian, Dutch, English, Spanish, and Turkish. A total of 19 teams participated and most submissions managed to achieve sizable improvements over the baselines using Transformer-based models such as BERT and GPT-3. Across the four subtasks, approaches that targetted multiple languages (be it individually or in conjunction, in general obtained the best performance. We describe the dataset and the task setup, including the evaluation settings, and we give a brief overview of the participating systems. As usual in the CheckThat! lab, we release to the research community all datasets from the lab as well as the evaluation scripts, which should enable further research on finding relevant tweets that can help different stakeholders such as fact-checkers, journalists, and policymakers. © 2022 Copyright for this paper by its authors.
ABSTRACT
INTRODUCTION: The aim of this study was to examine the descriptive characteristics of randomized controlled trials published in PubMed on COVID-19 vaccines until May 30, 2021. METHODS: Seventy three articles reached by scanning the keywords "vaccine" and "COVID 19" in the PubMed database were reviewed by researchers, 33 randomized controlled trials (RCTs) related to COVID 19 vaccines were included in the study. According to the 17-item questionnaire created by the researchers, the descriptive features of included studies were examined. RESULTS: The total number of investigative authors in 33 RCT articles published in approximately one and a half years from the outbreak of the pandemic was 946, and the average number of authors per article was 28.67+or-18.56.39.3% of the articles were published in The Lancet and 27.2% in The New England Journal of Medicine. Of the vaccines used in the studies, 36.3% mRNA vaccine, 21.2% Inactivated vaccine, 18.1% Recombinant adenovirus vaccine, 12.1% Chimpanzee adenovirus-based vector vaccine, 6% BCG vaccine. 22.5% of vaccines are Phase 1, 12.9% Phase 2, 19.3% Phase 3, 3.2% Phase 4, 32.3% Phase 1-2, 9%,6 of them are Phase 2-3 studies. DISCUSSION AND CONCLUSION: The majority of randomized controlled trials on COVID-19 vaccines are phase 1 and phase 2 trials for mRNA vaccines and inactivated vaccines. Studies have generally been conducted on the adult age group and studies are needed to evaluate the effect of vaccines on the pediatric age group. In studies, the safety of vaccines has been examined more, and there is limited information on efficacy and effectiveness of vaccines.
ABSTRACT
The fifth edition of the CheckThat! Lab is held as part of the 2022 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting various factuality tasks in seven languages: Arabic, Bulgarian, Dutch, English, German, Spanish, and Turkish. Task 1 focuses on disinformation related to the ongoing COVID-19 infodemic and politics, and asks to predict whether a tweet is worth fact-checking, contains a verifiable factual claim, is harmful to the society, or is of interest to policy makers and why. Task 2 asks to retrieve claims that have been previously fact-checked and that could be useful to verify the claim in a tweet. Task 3 is to predict the veracity of a news article. Tasks 1 and 3 are classification problems, while Task 2 is a ranking one.
ABSTRACT
With the development of new communication technologies, social media has provided all members of the society with the opportunity to create content on the subject they want, regardless of their location and interests. One of the most popular of these contents is memes that we have seen frequently recently as a digital humor element on social media. On the one hand, memes, which have the potential to make people laugh, are thought to reflect the social reality of the society they live in, on the other hand. Although laughing is seen as an involuntary physiological movement that is not in the hands of the individual, in fact this act has a close relationship with the individual and the society. The study, which was carried out to analyze the social patterns that the memes have in their indicators beyond being funny, investigates how social reality manifests through humor and laughter through the digital humor element Covid-19 memes. In this context, the Covid-19 memes shared on Instagram, a social media application, have been analyzed with the semiotic method based on French thinker Henri Bergson's theory of the humor. As a result of the analysis, it was seen that the memes have a structure that feeds on social and cultural values, and they not only make you laugh, but also have the potential to remind the necessity of social solidarity in tragic times and the responsibilities that each individual must comply with.
ABSTRACT
We describe the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to factuality, and covers Arabic, Bulgarian, English, Spanish, and Turkish. Task 1 asks to predict which posts in a Twitter stream are worth fact-checking, focusing on COVID-19 and politics (in all five languages). Task 2 asks to determine whether a claim in a tweet can be verified using a set of previously fact-checked claims (in Arabic and English). Task 3 asks to predict the veracity of a news article and its topical domain (in English). The evaluation is based on mean average precision or precision at rank k for the ranking tasks, and macro-F1 for the classification tasks. This was the most popular CLEF-2021 lab in terms of team registrations: 132 teams. Nearly one-third of them participated: 15, 5, and 25 teams submitted official runs for tasks 1, 2, and 3, respectively. © 2021, Springer Nature Switzerland AG.
ABSTRACT
We present an overview of Task 1 of the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The task asks to predict which posts in a Twitter stream are worth fact-checking, focusing on COVID-19 and politics in five languages: Arabic, Bulgarian, English, Spanish, and Turkish. A total of 15 teams participated in this task and most submissions managed to achieve sizable improvements over the baselines using Transformer-based models such as BERT and RoBERTa. Here, we describe the process of data collection and the task setup, including the evaluation measures, and we give a brief overview of the participating systems. We release to the research community all datasets from the lab as well as the evaluation scripts, which should enable further research in check-worthiness estimation for tweets and political debates. © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).