Subject Coverage Research Articles

Bioregulatory event extraction using large language models: a case study of rice literature

The extraction of biological regulation events has been a key focus in the field of biomedical nature language processing (BioNLP). However, existing methods often encounter challenges such as cascading errors in text mining pipelines and limitations in topic coverage from the selected corpus. Fortunately, the emergence of large language models (LLMs) presents a potential solution due to their robust semantic understanding and extensive knowledge base. To explore this potential, our project at the Biomedical Linked Annotation Hackathon 8 (BLAH 8) investigates the feasibility of using LLMs to extract biological regulation events. Our findings, based on the analysis of rice literature, demonstrate the promising performance of LLMs in this task, while also highlighting several concerns that must be addressed in future LLM-based application in low-resource topic.

Picturing sexuality education in Thailand: a visual methods approach

ABSTRACT Visual research methods are increasingly utilised in educational research and scholars have used them to develop accounts of sexuality in schooling contexts. This article advances this work with an analysis of secondary students’ drawings of their experiences with sexuality education. We performed a thematic analysis on 150 drawings created during participatory focus group discussions (FGDs) among students in 30 Thai general secondary and vocational schools. We present summaries of six key themes identified in the visual data (‘emphasis on puberty, anatomy, and reproduction’; ‘emphasis on preventing pregnancy and infection’; ‘emphasis on the negative consequences of sex’; ‘hidden curriculum of heteronormativity’; ‘absence of complexities in the images’; and ‘a traditional classroom environment’). Conducted as a part of a multi-method study that also included teacher and student surveys, the analysis of students’ drawings highlighted the nature of Thai sexuality education from a complementary vantage point. While our previously reported survey findings indicated relatively comprehensive topic coverage, our interpretation of the student drawings suggests that pregnancy prevention may be emphasised over other topic areas. Our analysis of the drawings also supported earlier survey findings pointing at a lecture-heavy approach to teaching and learning rather than more learner-centred pedagogy.

The Current Progress of Artificial Intelligence in Approach to Thyroid Nodules: A Narrative Review

Background: Artificial intelligence (AI) can play a significant role in the future of thyroidology. Thyroid nodules are common conditions that may benefit from AI through more accurate and efficient diagnosis, risk stratification, and medical or surgical management. Objective: This paper aims to review the latest developments in AI applications for diagnosing and managing thyroid nodules and cancers. Methods: English full-text articles published in the PubMed and Google Scholar databases from January 2014 to March 2024 were collected and reviewed to provide a comprehensive understanding of the topic. A total of 45 studies were selected based on relevance, robust methodology, statistical significance, and broader topic coverage. Results: Artificial intelligence has emerged as a powerful tool for managing thyroid nodules. First, several studies have demonstrated how AI-powered ultrasound interpretation enhances the diagnosis and classification of nodules while reducing the need for invasive fine-needle aspiration (FNA) biopsies. Second, AI significantly improves the cytopathological differentiation between benign and malignant thyroid nodules by minimizing reliance on pathologists' expertise and implementing standardized diagnostic criteria. When cytopathology is inconclusive, AI also aids in identifying molecular markers from omics data, distinguishing between normal and cancerous cells. Moreover, AI tools have been developed for prognosis assessment, predicting distant metastasis, recurrence, and surveillance by integrating medical imaging features with molecular and clinical factors. Additionally, some AI tools are designed for intraoperative evaluation, improving surgical techniques and reducing complications during thyroidectomy. In non-surgical treatments, several models have been developed to optimize therapeutic doses of radioactive iodine (RAI) and predict the outcomes of new drug formulations. Conclusions: Artificial intelligence has the potential to assist physicians in accurate thyroid nodule diagnosis, classification, decision-making, optimizing treatment strategies, and improving patient outcomes. However, there are still limitations to this technology. Artificial intelligence-driven tools require further advancements before they can be fully integrated into clinical practice and replace specialists.

Establishing the ESD and GCEd system in higher education: Analyzing the holistic approach of Yonsei University in South Korea

Purpose: This study assesses the Global Citizenship Education (GCEd) and Education for Sustainable Development (ESD) initiatives at the Yonsei Institute of Global Engagement and Empowerment (IGEE). The objective is to identify strengths and areas for improvement in promoting ESD and GCEd principles and contributing to the Sustainable Development Goals (SDGs).Design/Methodology/Approach: This research employs a comprehensive analysis framework to evaluate Yonsei IGEE's initiatives, including the "Understanding Sustainable Development with Ban Ki-moon" lectures, "Social Engagement Fund (SEF)" research program, "SDG Initiative," and "Global Engagement and Empowerment Forum (GEEF))." It considers objectives, environmental focus, pedagogical strategies, topic coverage, learning dimensions, and outcome measurement.Findings: Yonsei IGEE initiatives demonstrate strengths in terms of clear objectives, environmental focus, and pedagogical strategies. They complement each other, fostering synergy in promoting ESD and GCEd principles. The lecture series offers a holistic view of SDG issues, whereas SEF empowers students to address challenges practically. The SDG Initiative guides Yonsei's research community, and GEEF disseminates SDG knowledge and fosters collaboration.Originality: This study contributes originality in two aspects. First, it presents an innovative evaluation framework specifically designed to assess the diverse GCEd and ESD programs at Yonsei IGEE. This framework serves as a valuable tool for future evaluations of similar initiatives in higher education institutions. Second, the data and contents analyzed in this research, drawn from Yonsei IGEE's programs, are novel and provide unique insights into the efficacy of the GCEd and ESD efforts.

Quality Of Audit In Public Sector Organizations: Trends And Article Analysis

This study purpose to explore and analysis the "characteristics of audit quality" through two questions: 1. what are the publication trends of audit quality-themed articles based on research contributors, and 2. what are the developments in research related to audit quality up to the present. The study employs a systematic literature review using keywords that describe the article topic coverage to identify trends in audit quality characteristics. The sample consists of 26 articles from the database SCOPUS from 2011 to 2020 on audit quality. The results indicate that University Utara Malaysia's contributions dominate among institutional contributors to the articles, article contributions are predominantly from Indonesia by country, and contributions are dominated by the International Journal of Economics Research based on journal source. The final results related to audit quality show variability with appropriate testing. This research empirically contributes to the development of literature and aids in analyzing audit quality-related research.

Society 5.0: Shaping the future of e-commerce

This paper explores the impact of Society 5.0, a Japanese initiative that integrates digital and physical spaces to address societal challenges and drive economic growth. It examines the role of decentralized technologies in enhancing e-commerce by adapting to consumer behavior changes and improving market dynamics. The study details the transition from Web 1.0’s basic functionalities to the more interactive and social Web 2.0, setting the stage for a more integrated and intelligent e-commerce environment under Society 5.0. This new paradigm emphasizes personalized consumer experiences facilitated by AI and big data, focusing on real-time data, predictive analytics, and tailored services. The paper also addresses how Society 5.0 prioritizes sustainability and ethical practices in AI, aligning e-commerce strategies with global sustainability goals through eco-friendly practices and green logistics. The methodology involves a detailed literature review using specified databases over a defined period, applying rigorous criteria for article selection and classification to ensure comprehensive topic coverage. This research highlights the potential of cutting-edge technologies to revolutionize e-commerce by making it more secure, efficient, and aligned with consumer expectations and environmental standards. The research employs a qualitative approach, synthesizing existing literature on Society 5.0 and its potential impact on e-commerce. We explore how blockchain and big data will personalize experiences, enhance operational efficiency, and introduce new products and services. While acknowledging the limitations of relying solely on secondary literature, the paper underscores the need for future research to include empirical studies and address challenges like data privacy, the digital divide, and evolving regulatory frameworks within the e-commerce landscape.

Does Russian Propaganda Lead or Follow? Topic Coverage, User Engagement, and RT and Sputnik’s Agenda Influence on US Media

Russian state propaganda outlets Russia Today (RT) and Sputnik are an important part of Russian foreign policy and key global sources of disinformation. Previous work has argued that they focus on exploiting social divisions among foreign audiences and worried that Russian propaganda may influence the broader media agenda. To date, though, there has been no comprehensive study of what RT and Sputnik actually cover, or any quantitative analysis of their influence on other coverage. We analyze 4.7 million English-language news articles from RT, Sputnik, and sixty-seven other news outlets linked to on Facebook from 2017 to 2021, articles that collectively generate 22.6 billion user interactions. Contrary to assumptions in previous studies, RT and Sputnik gave modest attention to US domestic politics, focusing instead on a set of geopolitical issues including the Middle East, armed conflicts, and international statecraft. Using a VAR model, we show that RT and Sputnik Granger-cause coverage on its high-priority issues across all categories of US media: center, left-wing, right-wing, and far-right. On domestic issues, RT and Sputnik follow center and far-right outlets instead of leading. Our study is an important corrective to earlier scholarship, which has overstated RT and Sputnik’s engagement with US domestic issues and blurred the specialized roles different Russian organizations play in malign influence operations.

Maximizing ESP Learning with Chatbot Technology: An Evaluation of Effectiveness

This study investigated how students of vocational higher education could use chatbot technology as a digital learning resource. According to the research findings, the chatbot responded students' questions instantly and provided a helpful resource for discovering specific information. The chatbot also served as a handy learning tool that was accessible anywhere and at any time, allowing for individualized and independent learning experiences. Furthermore, the interactive features of the chatbot promoted interesting discovery and interactive education, which improved student involvement in many learning contexts. Improvements are also proposed, including the development of chatbot capability for instant messaging programs, the integration of student scoring capabilities, and the expansion of topic coverage through linkages to other particular courses. A more thorough understanding would result from these improvements.

Potential of active learning in dentistry: A comparative study of Jigsaw versus inquired-based learning.

To compare the efficacy of Jigsaw and Inquiry-Based Learning (IBL) methods in promoting effective learning outcomes within diverse dental educational settings. A total of 188 dental undergraduate students were recruited for the study and divided into Batch A (n=96) and Batch B (n=92). Each batch underwent two teaching sessions, one using the Jigsaw method and the other using IBL. A structured questionnaire using five-point Likert scales assessed students' preferences between the two methods. Pre- and post-intervention tests were conducted to measure knowledge acquisition. Statistical analysis was performed using Student's t-test with STATA version 17, with a p-value of<0.05 considered significant. Both Jigsaw and IBL methods significantly improved students' knowledge, with mean scores showing a significant difference before and after interventions (p<0.001). IBL was more effective in comprehensive topic coverage (99.46%) and enhancing subject understanding. Both methods yielded comparable outcomes in terms of improving communication skills. The Jigsaw method was simpler and more enjoyable, encouraging active participation and enhancing communication skills. IBL promoted critical thinking, research skills, and deeper comprehension of concepts. Jigsaw and IBL methods are both effective in enhancing dental education. The choice between these methods depends on the specific learning objectives, the complexity of the topic, and the preferences of the dental educator and students.

The dark side of publishing: Unveiling the deceptive tactics of cloned journals in India

The study examines two lists of cloned journals (Group I and Group II) compiled by the University Grants Commission-Consortium for Academic and Research Ethics (UGC-CARE) in India. India has emerged as a hotspot for predatory publishing, justifying the reliance on the UGC-CARE list. The study explores the role of language as a tool for cloning legitimate journals and reveals that cloned journals adopt the English language to deceive and attract submissions. Additionally, it investigates the techniques used by cloned journals to modify their appearance and nomenclature. The results indicate that 40.47% of cloned journals maintain the original title, 42.86% make minor changes by adding terms like ‘international’ and ‘journal’, and 16.67% undergo major alterations. The study also examines the permanence and stability of the domains associated with cloned journals, finding that 52.50% of URLs were active and a significant number were inactive. Among these, the highest domain names include .com (commercial), followed by.org (organisation), as cloned journals prefer these to appear more credible and trustworthy. Furthermore, the study analyses the subject coverage of cloned journals to understand whether their focus is on specific disciplines. The findings reveal that they adopt a multidisciplinary approach to their deceptive practices. By providing valuable insights and raising awareness of how cloned journals deceive authors, this study serves as a significant step against these fraudulent practices. The main limitation of this study is that it relies on a single data source, the UGC CARE List India.

Beyond text: ChatGPT as an emotional resilience support tool for Gen Z – A sequential explanatory design exploration

In the digital era, Artificial Intelligence (AI) has arisen as a revolutionary influence with the potential to transform multiple spheres of human life. Chatbots, particularly OpenAI's Chat Generative Pre-trained Transformer (ChatGPT), are increasingly recognised as promising tools in diverse aspects, including mental health. This study delves into ChatGPT's effectiveness as an emotional resilience support tool specifically for Generation Z (Gen Z), a demographic deeply engaged in digital interactions. Employing a sequential explanatory design that integrates quantitative and qualitative analyses, the research investigates Gen Z users' perceptions of ChatGPT's effectiveness, barriers to its utilisation, and impact on emotional resilience. The findings reveal a significant acknowledgement of ChatGPT's role in enhancing emotional well-being and notable concerns regarding privacy and security. Further, qualitative insights underscore the significance of personalised interactions, nonjudgmental space, and active listening characteristics of ChatGPT in fostering emotional resilience. Moreover, the study identifies key areas for improvement, such as expanded topic coverage and cultural representation. Educational stakeholders and mental health professionals are encouraged to utilise these insights to integrate ChatGPT and other AI tools into tailored support frameworks for Gen Z.

The Role of Satirical Political Platforms in Shaping Societal Political Awareness

The current study aims to uncover the reality of satirical political platforms and the role of the media in developing awareness of citizens’ political participation based on contemporary political theories from the perspective of students themselves. The results of the first question showed that the computational averages of the reality of the media’s role in developing awareness of political participation ranged from 3.67-4.28 to their high level. The results of the second question were shown: The existence of statistically significant differences attributable to the sex variable and to the interests of females and the absence of statistically significant differences depending on the macro variable and the school year. The results of question III showed that the computational averages of the responses of the study sample individuals to the paragraphs of the challenges facing the media in developing awareness of political participation ranged from one to another. (3.80-4.14) and its high level, and the most prominent sources on which the widespread satirical programmes relied as well as the Joe Shaw programme relied on mixed sources in the first place. The study showed that the study programmes took the opposing trend in their coverage of political subjects in proportion (25%), highlighting the media trends used by both Clear Jamming and Joe Shaw in their coverage of political topics is the framework of economic consequences, while Al-Suleit’s news programme focused on using the framework of political conflict. Keywords: political awareness, satirical programs, media, media misinformation.

Changing discourse of public administration: Where PAD stands?

AbstractPublic administration in the recent years has become a very dynamic and vast domain owing to evolving challenges. Our study aims to comparatively evaluate the changing discourse in public administration research in general and ‘Public Administration and Development’ (PAD) in particular. For this purpose, we have taken research articles from nine journals of public administration domain for the period of 2010–2022. We have used the text‐mining based approach of Dynamic Topic Modelling to understand the evolution of topics in public administration research. This is followed by the Named Entity Recognition (NER) to discover the geographic importance given in public administration research vis‐à‐vis PAD. We have used the measure of ‘Jaccard similarity’ to compare the changing discourse of PAD with respect to other journals. We have found that topics on approaches to governance, organization performance and health were always on the priority in literature. We have also found that topic coverage in PAD is more diverse and niche compared to the overall trends in public administration research. NER findings suggest that public administration research is more Euro‐North American centric while PAD has pan‐continental presence with focus on developing countries.

Psychiatry Pitstop: Enhancing Communication Skills of Medical Students in Mental Health Settings

IntroductionPsychiatry Pitstop is a role-play-based program for medical students aimed to improve communication skills in the framework of mental health. The workshop involved amateur actors who simulated different clinical scenarios and psychiatry residents, who facilitated the sessions and provided constructive feedback following the Pendleton method. Psychiatry Pitstop was originally developed in the United Kingdom and it was expanded to Lisbon, Portugal, in 2019. The authors adapted the course to the Portuguese context, adjusting the number of sessions and altering the scenarios to match common clinical situations faced by junior doctors in Portugal. By now, we conducted four courses.ObjectivesOur study aims to describe the Portuguese adaptation of the program and to learn insights from the students feedback.MethodsThe course was assessed using satisfaction questionnaires, completed by the students after each session. These included a Likert scale ranging from 1 to 5, with items pertaining to Future Importance, Overall Quality, Theoretical Quality, and Practical Quality. Quantitative data was analyzed using Excel and standard descriptive statistics to summarize the results. The open questions invited students to articulate the main positive aspects, suggestions for improvement and future topics. A Natural Language Processing (NLP) software was used to evaluate open-ended responses and extract the main concepts.ResultsWe obtained a total of 39 single-answers from 4 different courses. Evaluation results yielded a mean score of 4.7 for Future Importance, 4.9 for Overall Quality, 4.3 for Theoretical Teaching, and 4.9 for Practical Teaching. Notable positive aspects included students’ appreciation of the immersive interview environment, the dedication exhibited by actors and doctors, well-prepared case scenarios, and engaging interactions with participants. Suggestions for improvement encompass enhanced theoretical introductions, comprehensive topic coverage, universal participation in simulations, and expanded workshop days. Future prospects for the program include practicing interviews with other psychiatric diagnosis, addressing difficult patients, delivering bad news and covering topics related to sexuality, grief and moral dilemmas.ConclusionsOur study shows that Psychiatry Pitstop adaptation to the Portuguese context was successful. Overall, the feedback from medical students has been consistently positive. Subsequent editions will draw upon the findings of this study to enhance overall program quality.Disclosure of InterestNone Declared

ANALYZING MEDIA PERSPECTIVES: A COMPARATIVE STUDY OF WESTERN AND MIDDLE EASTERN FRAMING OF HAMAS

After the 9/11 attacks, Western society, especially the United States, began to consider Islam as a religion that gave birth to terrorist organizations. Many media also brand organizations related to the Islamic religion as terrorists, including Hamas. In order to emphasize the intricate relationships between media, geopolitics, and the formation of public opinion, this research seeks to analyze potential biases and contrasting narratives between Western and Middle Eastern opinions on Hamas. In order to examine depictions of Hamas as a "hero," "terrorist," "cruel," and exhibiting "humane" treatment towards civilians and hostages, this study used NVivo 12 Plus to analyze 150 news stories, 75 of which came from Middle Eastern (Al-Jazeera, Al-Arabiya, Asharq Al-Awsat) and 75 from Western (BBC, CNN, The Guardian) media sources. The findings indicate that Western media typically adopts a more solemn narratives, emphasizing Hamas-related conflict and violence. However, the narrative from Middle Eastern media emphasizing Hamas-related themes of resistance and heroism. This research can assist journalists and media organizations in recognizing potential biases and differing narratives in their coverage of Hamas and related subjects.

Text summarization using modified generative adversarial network1

Text summarizing (TS) takes key information from a source text and condenses it for the user while retaining the primary material. When it comes to text summaries, the most difficult problem is to provide broad topic coverage and diversity in a single summary. Overall, text summarization addresses the fundamental need to distill large volumes of information into more manageable and digestible forms, making it a crucial technology in the era of information abundance. It benefits individuals, businesses, researchers, and various other stakeholders by enhancing efficiency and comprehension in dealing with textual data. In this paper, proposed a novel Modified Generative adversarial network (MGAN) for summarize the text. The proposed model involves three stages namely pre-processing, Extractive summarization, and summary generation. In the first Phase, the Text similarity dataset is pre-processed using Lowering Casing, Tokenization, Lemmatization, and, Stop Word Removal. In the second Phase, the Extractive summarization is done in three steps Generating similarity metrics, Sentence Ranking, and Sentence Extractive. In the third stage, a generative adversarial network (GAN) employs summary generation to jointly train the discriminative model D and the generative model G. To classify texts and annotate their syntax, Generative Model G employs a convolutional neural network called Bidirectional Gated Recursive Unit (CNN-BiGRU). The performance analysis of the proposed MGAN is calculated based on the parameters like accuracy, specificity, Recall, and Precision metrics. The proposed MGAN achieves an accuracy range of 99%. The result shows that the proposed MGAN improves the overall accuracy better than 9%, 6.5% and 5.4% is DRM, LSTM, and CNN respectively.

The role of commercialization of high technologies in scientific and production cooperation

The article reveals the role and importance of types of high-tech products, taking into account international practice, domestic official statistics and classification of goods of foreign economic activity. It is established that in some cases innovative and high-tech products are identified. It is revealed that currently the most high-tech is the production of basic pharmaceutical products and pharmaceuticals, biotechnology, the production of computers, electronic and optical products; production of various air and space aircraft. The key regional leaders in the production of high-tech products in the world by region are considered. Based on the results of the consideration of the content of the concepts “innovation” and “technology”, “commercialization of innovations” and “commercialization of high-tech products”, the author’s vision of interpretations is proposed, with the justification that innovativeness actually acts as an additional feature of high-tech products. A study of the types of commercialization of high-tech products was conducted, according to the results of which the author’s classification was proposed according to the content, level of efficiency, number of subjects of commercialization, geographical coverage of subjects of commercialization and methods of financing.

The Role of Text-Type and Genre in the Analysis of Subtitles: Towards Measuring How Green the Media Are

The United Nations agency UNESCO issued in 2009 the Paris Declaration on Broadcast Media and Climate Change: A Public Service Remit where the role of communication was underlined as vital in informing and educating the public about the realities of climate change and the costs of inaction. Citizens are informed of the environmental crisis through media channels. By integrating the topic of sustainability into all television programming, from children’s programmes to reality TV shows, we can elevate this once-peripheral issue to a prominent position in the public consciousness. Understanding, measuring, and effectively reporting the degree to which the topic of sustainability is featured in broadcast media is challenging (McDonagh and Orero forthcoming). While some analyses and methodologies exist, these can be difficult to implement and time-consuming. Currently, there are no automatic tools to measure large language-based broadcast corpus data. Some companies have developed their own private methodology. Seeking to remedy this critical oversight, the goal of this paper is to propose the use of subtitles as a tool and explain the singularity of subtitles as a text type. At present subtitles are already used to mine information, which is the second part of the article. As a text type, subtitles features need to be taken into consideration. The final part defines the objective of our research: to use subtitles as a metric to measure the frequency, topic coverage, and accessibility of sustainability-related content in television. By drawing on subtitling data, we can measure the degree to which sustainability is discussed and presented in the wider broadcast mediascape. These data are expected to be instrumental in drafting reports, guidelines, and recommendations on sustainability for broadcasting in the region with the possibility of influencing national and international policy. By using subtitles as measurable raw data to develop metrics to gauge the quantity of sustainability-related content in broadcast television, we can better understand how climate change is currently covered. Armed with this knowledge, we can develop strategies and benchmarks to promote sustainability as a concept and contribute towards Net Zero targets.

Research-to-practice conference as a component of improving knowledge and mastering professional competencies by medical students and young scientists

Aim. To evaluate the importance of certain aspects of research-to-practice conferences, organized by the Department of General Practice of Pirogov Russian National Research Medical University, as well as its contribution to preparing students for future professional activities within the outpatient healthcare and the impact of these events on the interest of participants and speakers for research work.Material and methods. An anonymous online survey included 37 participants in the discussed conferences regarding the respondents’ motivation to attend conferences, assessment of declared subject coverage, the practical applicability of the knowledge gained and other aspects.Results. The most important motivating factors for conference participation were interest in outpatient healthcare (52,4% for the conference "Internal diseases at the prehospital stage" and 87,5% for the conference "A multimorbid patient — continuity between hospital and clinic"), analysis of interesting cases (66,7% and 75%, respectively) and multidisciplinary focus of activities (47,6% and 68,8%). An important aspect was the coverage of current problems of practical healthcare. The most important results were considered by the majority of participants to be expanding their medical horizons (85,7% and 87,5%) and gaining new knowledge on the declared subject (90,5% and 75%). Almost half of the respondents (52,4% and 56,3%) improved their interest in scientific activities as a result of visiting the conferences.Conclusion. Conducting research-to-practice conferences for students, residents and postgraduates serves as a platform for increasing the knowledge and mastering professional competencies. The results of a survey of conference participants and speakers indicate the relevance of involving students in conferences and the numerous benefits they receive, which are discussed in detail in this article.

Racialized Boundaries Against Haitian Immigrants in Chile: Two Case Studies

Racism is a type of systematic power abuse by a dominant group against diverse minorities through discursive and material practices (Van Dijk, 2021). This article draws attention to the generation of racializing discourses, particularly towards the Haitian immigrant population in Chile, in (a) mass media, which mainly focuses on radio, television, and newspapers such as Radio Bíobío, Chilevision, and La Tercera newspaper, and (b) government policy, as articulated in the 2018 executive order “Plan Humanitarian Orderly Return” (PHOR). After delineating the historical background of recent Haitian migration to Chile, authors deploy Critical Discourses Analysis (CDA) of two powerful cases of popularly mediated racializing discourses reflected in media coverage of (a) the case of a Haitian woman, Joane Florvil, who died soon after taken into police custody on a wrongful charge of abandoning her infant in 2017 and (b) the racially inflected 2018 executive order PHOR which overwhelmingly targeted Haitians for “voluntary deportation”. Authors consider headlines, article coverage of institutional agents and minority subjects, and state-generated documents. Informed by postcolonial thought, the study discusses current expressions of racialized boundaries in the Chilean media focusing particularly on the disciplining and regulation of migrants based on the idea of order