LINGUISTIC PECULIARITIES OF PUN, ITS TYPOLOGY AND CLASSIFICATION

Author(s):  
Anastasiia Sergeevna Igasheva
Keyword(s):  

This article is focuses on the analysis of pun as one of the categories of wordplay its manifestation in one-liner jokes in English. The data of this study is all of one-line jokes containing puns which were collected on fiction material and online sources. Based on the analysis of various classifications, a new pun classification is defined as one of the types of word games.

2016 ◽  
Vol 45 (2) ◽  
pp. 203-236
Author(s):  
Paul Karolyi

This update is a summary of bilateral, multilateral, regional, and international events affecting the Palestinians and the future of the peace process. More than 100 print, wire, television, and online sources providing U.S., Israeli, Arab, and international independent and government coverage of unfolding events are surveyed to compile the quarterly Update. The most relevant sources are cited in JPS's Chronology section, which tracks events day by day. JPS Chronologies are archived on the JPS website at www.palestine-studies.org.


2015 ◽  
Vol 44 (4) ◽  
pp. 153-193
Author(s):  
Paul Karolyi

The Quarterly Update is a summary of bilateral, multilateral, regional, and international events affecting the Palestinians and the future of the peace process. More than 100 print, wire, television, and online sources providing U.S., Israeli, Arab, and international independent and government coverage of unfolding events are surveyed to compile the Quarterly Update. The most relevant sources are cited in JPS's Chronology section, which tracks events day by day. JPS Chronologies are archived on the JPS website at www.palestine-studies.org.


Author(s):  
Siti Aeisha Joharry ◽  
Nor Diyana Saupi

The International Convention for the Elimination of Racial Discrimination (ICERD), which was not ratified in Malaysia, created a heated public discourse in the media. This cross-linguistic comparative study investigates the representation of ICERD in Malaysian news reports of two online sources in Malaysia – the widely read English portal: The Star Online, and its Malay equivalent: Berita Harian. A corpus-assisted discourse analysis was conducted to examine how news on ‘ICERD’ were reported in both English and Malay online newspapers. Initial comparative analysis of both newspapers revealed that the search term co-occurs statistically more frequently with the verb ‘ratify’ and its equivalent: ‘meratifikasi’. Patterns indicate that ‘ICERD’ was mostly referring to the act of sanctioning the agreement –particularly to ‘not ratify’ or ‘tidak akan meratifikasi’, which is concurrent with the timeframe of events. Interestingly, different patterns can be found in Berita Harian (e.g. the expression of ‘thanks’ or gratitude of not ratifying ICERD) that are not as revealing in The Star Online reports. Some inconsistencies were also reported between the two newspapers, e.g. referring to different ministers’ speech about the initial plan to ratify ICERD alongside five (The Star Online) or six (Berita Harian) other treaties in the following year.  


2020 ◽  
Author(s):  
Suman Ambwani ◽  
Gina Sellinger ◽  
Kelsey Rose ◽  
Tracy Richmond ◽  
Kendrin Sonneville

Definitions for the culturally trendy “clean” eating phenomenon vary: whereas some characterize it as natural and healthy, others adopt more restrictive, moralizing, and affectively-laden definitions that may reflect disordered eating. We examined levels of familiarity with “clean” eating, sources of information, and perceptions of this dietary trend among a large, diverse sample of U.S. adolescents and emerging adults recruited from the National MyVoice Text Message Cohort (N = 1266; ages 14-24 years). Participants answered five questions assessing knowledge of “clean” eating, definitions, perceived healthiness vs. harm, and willingness to adopt “clean” eating, and responses were coded by three trained researchers. Results indicate that 55% of respondents had previously heard of “clean” eating, most commonly through social media, other online sources, and peers. Definitions were heterogeneous, with 40% offering “non-processed” or “whole foods” and 13% noting “non-GMO” or “organic” components. Few respondents (0.6%) expressed outright skepticism about “clean” eating, but many (30%) identified dietary avoidance and restriction as part of the definition. Overall, 71% characterized “clean” eating as a healthy approach, whereas 6% flagged it as “unhealthy” and 18% noted elements of both healthfulness and harm; 41% reported they “probably would” try “clean” eating themselves. Present findings highlight high levels of awareness and positive attitudes toward “clean” eating among young people in the U.S., with little recognition of the potential risks of dietary restriction. Further research could clarify potential risks of “clean” eating and related dietary trends and thus inform strategies for eating disorder prevention.


2020 ◽  
Author(s):  
Mikołaj Morzy ◽  
Bartłomiej Balcerzak ◽  
Adam Wierzbicki ◽  
Adam Wierzbicki

BACKGROUND With the rapidly accelerating spread of dissemination of false medical information on the Web, the task of establishing the credibility of online sources of medical information becomes a pressing necessity. The sheer number of websites offering questionable medical information presented as reliable and actionable suggestions with possibly harmful effects poses an additional requirement for potential solutions, as they have to scale to the size of the problem. Machine learning is one such solution which, when properly deployed, can be an effective tool in fighting medical disinformation on the Web. OBJECTIVE We present a comprehensive framework for designing and curating of machine learning training datasets for online medical information credibility assessment. We show how the annotation process should be constructed and what pitfalls should be avoided. Our main objective is to provide researchers from medical and computer science communities with guidelines on how to construct datasets for machine learning models for various areas of medical information wars. METHODS The key component of our approach is the active annotation process. We begin by outlining the annotation protocol for the curation of high-quality training dataset, which then can be augmented and rapidly extended by employing the human-in-the-loop paradigm to machine learning training. To circumvent the cold start problem of insufficient gold standard annotations, we propose a pre-processing pipeline consisting of representation learning, clustering, and re-ranking of sentences for the acceleration of the training process and the optimization of human resources involved in the annotation. RESULTS We collect over 10 000 annotations of sentences related to selected subjects (psychiatry, cholesterol, autism, antibiotics, vaccines, steroids, birth methods, food allergy testing) for less than $7 000 employing 9 highly qualified annotators (certified medical professionals) and we release this dataset to the general public. We develop an active annotation framework for more efficient annotation of non-credible medical statements. The results of the qualitative analysis support our claims of the efficacy of the presented method. CONCLUSIONS A set of very diverse incentives is driving the widespread dissemination of medical disinformation on the Web. An effective strategy of countering this spread is to use machine learning for automatically establishing the credibility of online medical information. This, however, requires a thoughtful design of the training pipeline. In this paper we present a comprehensive framework of active annotation. In addition, we publish a large curated dataset of medical statements labelled as credible, non-credible, or neutral.


Author(s):  
Dustin T. Duncan ◽  
William C. Goedel ◽  
Rumi Chunara

Research connecting neighborhoods and health has characterized neighborhood factors in multiple ways. This chapter discusses standard and emerging methods to measure and study neighborhood characteristics. In particular, this chapter provides an overview of neighborhood characteristic assessment methods, including self-report, systematic social observation, geographic information system (GIS) methods, Web-based geospatial methods, real-time geospatial methods, crowd-sourced geospatial methods, and information retrieval methods from online sources such as Instagram and Twitter. This chapter also discusses the strengths and limitations of each neighborhood characteristic assessment method (e.g., ease of administration, validity), and readers are provided with examples of each neighborhood assessment method applied in the epidemiology and population health literature.


Author(s):  
Gizell Green ◽  
Riki Tesler ◽  
Cochava Sharon

The Internet and social media are crucial platforms for health information. Factors such as the efficiency of online health information, the outcomes of seeking online health information and the awareness of reliable sources have become increasingly important for the elderly during the COVID-19 pandemic. This study aimed to examine differences between elderly individuals’ income above and below the average monthly wage in relation to their online health information efficiency and the outcomes of seeking online health information; to evaluate types of online information sources with online health information efficiency and the outcomes of seeking online health information; and to explore online health information efficiency as a mediator between health status and awareness of online sources. A cross-sectional study design was conducted with 336 elderly participants age 65 or older. The participants volunteered to complete a questionnaire. No differences were found between the two groups regarding efficiency in retrieving health information from official online health sites and Google. Perceived efficiency mediated health status and awareness of online sources. In these challenging times, it is important to provide a tailor-made education strategy plan for reliable sources of online health information for the elderly, in order to enhance their technology safety skills. It is also important to explore other mediating variables between health status and awareness of online sources.


2021 ◽  
pp. 104973232110035
Author(s):  
Adrian Farrugia ◽  
Andrea Waling ◽  
Kiran Pienaar ◽  
Suzanne Fraser

In this article, we investigate young people’s trust in online sexual health resources. Analyzing interviews with 37 young people in Australia using Irwin and Michael’s account of science–society relations and Warner’s conceptualization of “publics,” we explore the processes by which they assess the credibility of online sexual health information. We suggest that when seeking medical information, young people opt for traditionally authoritative online sources that purport to offer “facts.” By contrast, when seeking information about relationships or sexual practices, participants indicated a preference for websites presenting “experiences” rather than or as well as “facts.” Regardless of content, however, our participants approached online sexual health information skeptically and used various techniques to appraise its quality and trustworthiness. We argue that these young people are productively understood as a skeptical public of sexual health. We conclude by exploring the implications of our analysis for the provision of online sexual health information.


2020 ◽  
Vol 65 (1) ◽  
pp. 20-48
Author(s):  
Antonio Lillo

AbstractThe use of rhyming slang in British and Irish football is a relatively recent phenomenon that has sometimes been noted in passing, but never studied in detail. How is this type of lexis created? And, equally important, why do football lovers find it useful? Drawing mainly on examples from print and online sources, this article examines the linguistic features of the specialist rhyming slang of football, how it is coined and what it is that makes it so appropriate for the beautiful game. The final part of the article provides a glossary of terms and nicknames, many of which have hitherto escaped the notice of lexicographers.


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