ABSTRACT
Large language models have abilities in creating high-volume human-like texts and can be used to generate persuasive misinformation. However, the risks remain under-explored. To address the gap, this work first examined characteristics of AI-generated misinformation (AI-misinfo) compared with human creations, and then evaluated the applicability of existing solutions. We compiled human-created COVID-19 misinformation and ed it into narrative prompts for a language model to output AI-misinfo. We found significant linguistic differences within human-AI pairs, and patterns of AI-misinfo in enhancing details, communicating uncertainties, drawing conclusions, and simulating personal tones. While existing models remained capable of classifying AI-misinfo, a significant performance drop compared to human-misinfo was observed. Results suggested that existing information assessment guidelines had questionable applicability, as AI-misinfo tended to meet criteria in evidence credibility, source transparency, and limitation acknowledgment. We discuss implications for practitioners, researchers, and journalists, as AI can create new challenges to the societal problem of misinformation. © 2023 Owner/Author.
ABSTRACT
In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection. Our fact-checking module, which is supported by novel natural language inference methods with a self-attention network, outperforms state-of-the-art approaches. It is also able to give automated veracity assessment and ranked supporting evidence with the stance towards the claim to be checked. In addition, PANACEA adapts the bi-directional graph convolutional networks model, which is able to detect rumours based on comment networks of related tweets, instead of relying on the knowledge base. This rumour detection module assists by warning the users in the early stages when a knowledge base may not be available. © 2023 Association for Computational Linguistics.
ABSTRACT
The creation of beautiful literature and art is one of humanity's most essential endeavours. The importance of literature as a component of the language-teaching curriculum has fluctuated over the last century with the popularity of various language-teaching pedagogies. Notwithstanding, it has recently seen a resurrection of appreciation for its effective utility in language acquisition. Covid-19 lockdown combined with the further progress of computer-assisted language learning has led to a gradual shift in the provision of literature-based language education to an online setting. Under this trend, Sandra Stadler-Heer and Amos Paran's edited chapter book Taking Literature and Language Learning Online: New Perspectives on Teaching, Research and Technology concentrates on a particular component of this transfer process, namely the interaction between literature and language learning. This book review provides an overview of this volume.
ABSTRACT
In automated scientific fact-checking, machine learning models are trained to verify scientific claims given evidence. A major bottleneck of this task is the availability of large-scale training datasets on different domains, due to the required domain expertise for data annotation. However, multiple-choice question-answering datasets are readily available across many different domains, thanks to the modern online education and assessment systems. As one of the first steps towards addressing the fact-checking dataset scarcity problem in scientific domains, we propose a pipeline for automatically converting multiple-choice questions into fact-checking data, which we call Multi2Claim. By applying the proposed pipeline, we generated two large-scale datasets for scientific-fact-checking: Med-Fact and Gsci-Fact for the medical and general science domains, respectively. These two datasets are among the first examples of large-scale scientific-fact-checking datasets. We developed baseline models for the verdict prediction task using each dataset. Additionally, we demonstrated that the datasets could be used to improve performance measured by weighted F1 on existing fact-checking datasets such as SciFact, HEALTHVER, COVID-Fact, and CLIMATE-FEVER. In some cases, the improvement in performance was up to a 26% increase. The generated datasets are publicly available. © 2023 Association for Computational Linguistics.
ABSTRACT
[...]a large number of lecturers called in sick or declared that they were unable to attend for health and safety reasons. The transition required the following steps: prompt communication with the students about the new modus operandi;staff training on the use of Teams;setting up of Teams exam meetings;evaluation and re-design of the exam content. Another clear benefit of Teams meetings is the centrally stored video recordings for all examinations, which can be used for quality assurance purposes, that is, checking by external examiners, in potential student appeals or academic misconduct investigations. Unstable or poor Internet connection;2. student camera turned off;3. hardware issues with the camera or microphone;4. background noise and echo;5. poor student or examiner information technology (IT) skills.
ABSTRACT
[...]flexibility ensures that students feel included and stay interested in learning. [...]dealing with varied genres allows students to get acquainted with different registers of the language. [...]the lack of physical classes also resulted in a lack of group activities. [...]as part of its policy of inclusion, JNU offers admission to students with visual impairment and also offers extra classes for them. [...]for overcoming the impersonal nature of online teaching, I made sure to get each student to speak in the class. The purpose was to ensure that students were active during the entire class. [...]I had to make sure that whilst recording the teaching session, I started recording only after having played the DW video.
ABSTRACT
Cet article vise a relater l'émergence d'une communauté d'apprentissage professionnelle (CAP), intitulée les aperos académiques, au sein du département de français de la Escuela Nacional de Lenguas, Lingüística y Traducción (ENALLT) de la Universidad Nacional Autónoma de México (UNAM). Ledit projet consiste a mettre l'accent sur l'importance et la valorisation du partage d'expériences entre enseignants de français langue étrangere (FLE), issues des pratiques de classes ayant eu lieu dans un contexte d'enseignement a distance lié a la pandémie de COVID-19.Alternate :El presente artículo tiene como objetivo relatar la creación de una Comunidad Profesional de Aprendizaje (CAP), que hemos nombrado los apéros académiques, en el Departamento de francés de la Escuela Nacional de Lenguas, Lingüística y Traducción (ENALLT) de la Universidad Nacional Autónoma de México (UNAM). Dicho proyecto tiene por objetivo destacar la importancia y el valor del intercambio de experiencias entre docentes de Francés Lengua Extranjera (FLE), que resultan de las prácticas de clase en un contexto de educación remota de emergencia en tiempos del COVID-19.Alternate :This article describes the creation of a Professional Learning Community (PLC), called the apéros académiques, at the Escuela Nacional de Lenguas, Lingüística y Traducción (ENALLT) in the Universidad Nacional Autónoma de México (UNAM). This project aimed to enrich opportunities for teachers of French as a Foreign Language (FLE), in order to discuss and exchange experiences with emergency remote teaching practices during the COVID-19 pandemic.
ABSTRACT
Princeton University, including the various language programs it offers, has intentionally resisted distance learning for decades, primarily out of a desire to concentrate on the residential undergraduate educational experience. In New Jersey, USA, state-level restrictions and institutional decisions resulted in the closure of campus instructional spaces from the halfway point of the 2020 spring semester through the end of the 2020-2021 academic year, with further precautions, mitigations, and flexible responses throughout the following academic year, including but not limited to frequent reversion to remote instruction during periods of high incidence, interior masking requirements, and social distancing when possible in classroom spaces. For the past six years, I have also redesigned, expanded, and aligned our second-year German program with the first year, which is based on a high-frequency core vocabulary and the development of contextual reading strategies, among other approaches (for a detailed description of approach, form, and function, see Oberlin, in press). Of the many tools and approaches considered during this frantic and bewildering week, one stands out: the application of outside-of-class student-to-student communication via Zoom or other video-conferencing technologies with written follow-up to fulfill a number of desiderata: (1) that students speak more in an alternate assignment format given the realities of affective and technological hurdles while using video conferencing software;(2) that they are provided with an unsupervised opportunity to speak in an effort to reduce anxiety;(3) that self-scheduled partner work might offer flexibility necessary during home-based study and the various complications and distractions that entails, particularly during a period of ongoing disruptions;and (4) that a written response to this oral communication would generate classroom discussion, deepen engagement with materials, and present instructors with another avenue for teacher-student feedback and the assessment of sentence- or paragraph-level writing.
ABSTRACT
Applied linguistics is an interdisciplinary domain which identifies, investigates, and offers solutions to language-related real-life problems. The new coronavirus disease, otherwise known as Coronavirus disease (COVID-19), has severely affected the everyday life of people all over the world. Specifically, since there is insufficient access to vaccines and no straight or reliable treatment for coronavirus infection, the country has initiated the appropriate preventive measures (like lockdown, physical separation, and masking) for combating this extremely transmittable disease. So, individuals spent more time on online social media platforms (i.e., Twitter, Facebook, Instagram, LinkedIn, and Reddit) and expressed their thoughts and feelings about coronavirus infection. Twitter has become one of the popular social media platforms and allows anyone to post tweets. This study proposes a sine cosine optimization with bidirectional gated recurrent unit-based senti-ment analysis (SCOBGRU-SA) on COVID-19 tweets. The SCOBGRU-SA technique aimed to detect and classify the various sentiments in Twitter data during the COVID-19 pandemic. The SCOBGRU-SA technique follows data pre-processing and the Fast-Text word embedding process to accomplish this. Moreover, the BGRU model is utilized to recognise and classify sen-timents present in the tweets. Furthermore, the SCO algorithm is exploited for tuning the BGRU method's hyperparameter, which helps attain improved classification performance. The experimental validation of the SCOBGRU-SA technique takes place using a benchmark dataset, and the results signify its promising performance compared to other DL models.
ABSTRACT
Not only do the early pandemic fads of sourdough baking and mushroom foraging make the narrator's frontier-style life now seem less removed from reality, the loneliness, uncertainty, and subdued terror that form the backdrop of her daily routine perhaps for the first time will be relatable to students. [...]their loneliness begets deeper woes: the most recently released Youth Risk Behavior Survey (2023) issued by the Center for Disease Control and Prevention shares that almost half of high school students in 2021 reported "persistent feelings of sadness or hopelessness," a significant increase from prepandemic times. In a variation of an American Association of Teachers of German sponsored public graffiti event created by my colleague several years ago to commemorate the fall of the Berlin Wall, I will repeat her prompt: "Which walls hold you back?" Key to her question was the understanding of a "wall" as any kind of social, physical, or mental impediment that prevented students from fully realizing their goals. In particular, the moment at which the narrator encounters the wall is jarring;a comparison of the literary versus cinematic description of this event offers students the opportunity to consider the power and/or limits of the written word.
ABSTRACT
The U.S. Department of State recognizes that students "act as citizen ambassadors by building relationships within their host communities, demonstrating American values, and debunking stereotypes" (U.S. Department of State, 2023). According to the GAPP website, over 750 high schools in the United States have a GAPP program and more than 9000 students participate in GAPP each year. Afterwards, the students filled out an evaluation of GAVE, provided on the GAVE website. Ludwig confirms that "online classes cannot replace the classical purpose of a stay abroad, namely: to be in a different place, in a different environment, to gain hands-on experience and, last but not least, to become more independent" (Ludwig, 2022).
ABSTRACT
Since the beginning of the global Covid-19 pandemic, text media materials are full of the word "vax”, and after the appearance of vaccines against the coronavirus and the start of the vaccination campaign around the world, "anti-vax” has also been added. In the article, it is singled out the linguistic means of updating the evaluation in the headlines and leads of the text media of Ukraine in the materials dedicated to opponents of vaccination against Covid-19, and the possibility of its automatic recognition with the help of machine methods is also considered. It was found that among the language means of expressing assessment, colloquial vocabulary (jargonisms and slang) and phraseology come to the fore. © 2023 Copyright for this paper by its authors.
ABSTRACT
This chapter describes the experience of academic literacy teachers in their adaptation of face-to-face teaching activities to the remote mode in a university in Colombia. Students in these courses face various challenges associated with their contexts and their home areas for studying - the physical conditions, quality of internet connections, and sometimes lack of electricity. Alongside these challenges, they lack literacy skills to face the demands posed by the learning tasks they encounter in their courses. The change to remote emergency teaching due to the COVID-19 crisis represented a threat for this vulnerable population as their academic literacy teachers were not used to navigating technology-mediated environments. After intensive professional development provided by the Teaching Excellence Center, faculty designed strategies to match teachers and students' access and familiarity to technology. Teaching tasks and delivery were modified as well. Feedback from faculty recognized the complexity and difficulty of such transformations, as well as its potential for opportunities. Students were positive about the experience and recognized the role teachers played in making this transition possible. Conclusions suggest that having a unified pedagogy helped them navigate the crisis regardless of their technological or literacy needs. © Springer Nature Switzerland AG 2021. All rights reserved.
ABSTRACT
In recent years, COVID-19 has impacted all aspects of human life. As a result, numerous publications relating to this disease have been issued. Due to the massive volume of publications, some retrieval systems have been developed to provide researchers with useful information. In these systems, lexical searching methods are widely used, which raises many issues related to acronyms, synonyms, and rare keywrds. In this paper, we present a hybrid relation retrieval system, CovRelex-SE, based on embeddings to provide high-quality search results. Our system can be accessed through the following URL: https://www.jaist.ac.jp/is/labs/nguyen-lab/systems/covrelex-se/. © 2023 Association for Computational Linguistics.
ABSTRACT
THE ESSENCE OF THE HUMANITIES One of the key components determining the entire field of the humanities consists of teaching critical thinking expressed orally and in writing. [...]whatever literary works or languages we work with, ultimately the purpose proves to be to lay the foundation for cultural competence, linguistic skills, research abilities, and writing skills for a constantly changing world. The exchange via online writing thus proved to be a highly innovative method of studying, demanding a high level of concentration and involvement from the professor and the students. Since we emphasize in the humanities in general and in German studies in particular writing skills, this method was successful. Teaching a literature course in German at an upper level via such a chat room proved to be challenging at first, but then it was highly productive because of the intensive writing activities by students and the instructor. Top Hat is also highly useful for taking attendance (once, twice, or three times per class), for quizzes, and for multiple-choice exams. Since questions can be posted so easily online-also during class meetings-students can also be encouraged to get involved in the teaching process themselves by formulating discussion questions for the entire class.
ABSTRACT
This study draws on corpus methodology to investigate people's reactions to COVID-19 vaccination using the data of Macau netizens' comments on a YouTube channel. Four main topics under discussion were identified based on the word lists. Meanwhile, people were concerned about the activity of vaccines and were also engaged in heated debates on both domestic and foreign vaccines according to the collocation of "疫苗” yìmiáo (vaccine). The discussion topics and concerns varied along with time, evidenced by the results of word lists and collocates of each month. It is also noticeable that some misinformation on vaccines burgeoned and faded before and after the mass vaccination of Macau residents. The supportive voices for the (Chinese) vaccines were building up their momentum over time. This phenomenon lends support to the effective persuasion of gain-framed messages in advocating safe behaviour based on Prospect Theory. Our research has revealed that the corpus-based study of online comments can be leveraged to uncover people's social behaviour in the pandemic context. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
[...]the social dimension of well-being, which includes our experiences of positive relationships and positive interactions, is the strongest predictor of our overall perception of wellbeing (Centers for Disease Control and Prevention, 2018). Virtual collaborations have also added new opportunities for creativity and information sharing in that Zoom allows us to work with colleagues to add ideas to a shared whiteboard or to synchronously annotate a text, for example, during interactive workshops and breakout group sessions at online/hybrid conferences. Another example is one of the author's participation in a new collaborative project with a European research group on the representation of hunting in German literature and art. Other instructional practices we have implemented to foreground social connectedness and students' sense of belonging include frequent check-ins (Stanton et al., 2016;Simon Fraser University, 2023) with students, for example, by using memes such as "Welche Katze bist du heute?," explicit conversations about resources and sense of belonging (a module with local resources added to our Learning Management System [Canvas]), and more intentional focus on integrating students' lived experiences and self-reflections into assignments.
ABSTRACT
Since Die Unterrichtspraxis/Teaching German is the society journal of the American Association of Teachers of German (AATG), these discussion topics arose and will arise from important discourses in the Association. Disruptions pose a challenge for teachers of German at all levels of education, personally and professionally. [...]the set of 21 short articles in this issue is intended to help us as a community to give meaning to current challenges and to share what we have learned. Martina Caspari ("Ganz entspannt im Hier und Jetzt: Fostering Social Presence in Communicative Language Instruction") went back to the natural approach and total physical response, which were popular in the 1980s. Heidi Denzel and Nicolay Ostrau write in "Responding to the Mental Health Crisis among our Language-Learning Community" that it is possible, and necessary, to develop an approach that integrates wellness and universal design.
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[...]microcourses are an ideal vehicle for high-impact, cohort-building projects-experiences that can never substitute for study abroad but that can contribute to a cohesive learning community. [...]the writing assignments consisted of short response papers of 200-250 words in length in German that students posted on the course discussions page to elicit comments and questions from their peers. [...]microcourses provide an ideal workshop-like format for the development of particular linguistic skills that are sometimes overlooked in a language curriculum, such as translation, sustained listening, dramatic reading techniques, or explication of data (Grafikbeschreibung). [...]microcourses are exceptional at fostering a sense of community.
ABSTRACT
Open-retrieval question answering systems are generally trained and tested on large datasets in well-established domains. However, low-resource settings such as new and emerging domains would especially benefit from reliable question answering systems. Furthermore, multilingual and cross-lingual resources in emergent domains are scarce, leading to few or no such systems. In this paper, we demonstrate a cross-lingual open-retrieval question answering system for the emergent domain of COVID-19. Our system adopts a corpus of scientific articles to ensure that retrieved documents are reliable. To address the scarcity of cross-lingual training data in emergent domains, we present a method utilizing automatic translation, alignment, and filtering to produce English-to-all datasets. We show that a deep semantic retriever greatly benefits from training on our English-to-all data and significantly outperforms a BM25 baseline in the cross-lingual setting. We illustrate the capabilities of our system with examples and release all code necessary to train and deploy such a system1 © 2023 Association for Computational Linguistics.