The Language of COVID-19 Conspiracy Theories. A Semantic Approach PDF Download

Author: Lisa Thöne
Publisher:
ISBN: 9783389028292
Category :
Languages : en
Pages : 0

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Author: Luke C. Collins
Publisher: Taylor & Francis
ISBN: 1000961869
Category : Language Arts & Disciplines
Languages : en
Pages : 210

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Book Description
Viral Language considers a range of different types of public communication and their discussion of the Covid-19 pandemic as a way to investigate health communication. The authors introduce and apply a range of approaches informed by linguistic theory to investigate experiences of the pandemic across a variety of public contexts. In doing so, they demonstrate how experiences of health and illness can be shaped by political messaging, scientific research, news articles and advertising. Through a series of case studies of Covid-related texts, the authors consider aspects of language instruction, information and innovation, showcasing the breadth of topics that can be studied as part of health communication. Furthermore, each case study provides practical guidance on how to carry out investigations using social media texts, how to analyse metaphor, how to track language innovation and how to work with text and images. Viral Language is critical reading for postgraduate and upper undergraduate students of applied linguistics and health communication.

Author: Hameed Tunde Asiru
Publisher:
ISBN: 9783969391341
Category :
Languages : en
Pages : 0

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Author: M. M.
Publisher:
ISBN:
Category :
Languages : en
Pages : 27

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Here is an eleven word horror story. Research shows we change our minds based on feelings, not facts. In this booklet, you can lear how to hijack someone's brain. If you have ever asked yourself one of the following: How do people fall down the rabbit hole of conspiracy videos? Why are they willing to believe a random video instead of experts? Fake News isn't a new phenomena but why is it uniquely dangerous now? How can you get through to someone who is in too deep? Can you have a conversation with a person when talking to them is like talking to a brick wall? Why facts won't change people's minds? Then this quick easy scientifically-backed booklet is for you.In the wake of the COVID-19 pandemic, numerous conspiracy theories have emerged and gained a foothold in the public perception. About 30% of Americans surveyed believe COVID-19 is of a manmade rather than natural origin. Such beliefs erode trust in public institutions such as the CDC or the World Health Organization and are counterproductive in that they weaken efforts to manage the pandemic, sow seeds of discord and increase feelings of anxiety, and prevent a unified response on multiple levels. There are a variety of reasons that draw people to conspiracy theories, mainly centering around need fulfillment as some serve to meet an unmet social, epistemic, or existential desire. Research has shown that facts alone do not change people's mind, might backfire in some cases, and that knowledge or education do not adequately protect individuals from COVID-19 conspiracy theories. To this the end, I propose we approach debunking COVID-19 conspiracy theories in a different manner- that we do not address conspiracy theories based on facts but rather based on feelings. We should attempt to address the psychology behind beliefs rather than beliefs themselves. This booket deals with 6 strategies that attempt to just that : 1) empathetic listening and modifying our language, 2) tailoring the message to the receiver through neuro-linguistic programming, 3) allowing the receiver to maintain their self-image/give them an "out" 4) empower or affirm the individual, 5) inoculating individuals and 6) "stopping the spread" of fake news by retooling technology to be a help rather than hindrance.

Author: Clare Birchall
Publisher: Conspiracy Theories
ISBN: 9781032324999
Category : COVID-19 Pandemic, 2020-
Languages : en
Pages : 0

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Book Description
Conspiracy Theories in the Time of Covid-19 provides a wide-ranging analysis of the emergence and development of conspiracy theories during the Covid-19 pandemic, with a focus on the US and the UK. The book combines digital methods analysis of large datasets assembled from social media with politically and culturally contextualised close readings informed by cultural studies. In contrast to other studies which often have an alarmist take on the infodemic, it places Covid-19 conspiracy theories in a longer historical perspective. It also argues against the tendency to view conspiracy theories as merely evidence of a fringe or pathological way of thinking. Instead, the starting assumption is that conspiracy theories, including Covid-19 conspiracy theories, often reflect genuine and legitimate concerns, even if their factual claims are wide of the mark. The authors examine the nature and origins of the conspiracy theories that have emerged; the identity and rationale of those drawn to Covid-19 conspiracism; how these conspiracy theories fit within the wider political, economic and technological landscape of the online information environment; and proposed interventions from social media platforms and regulatory agencies. This book will appeal to anyone interested in conspiracy theories, misinformation, culture wars, social media and contemporary society.

Author: Michael Butter
Publisher: Routledge
ISBN: 9781032359434
Category : COVID-19 Pandemic, 2020-
Languages : en
Pages : 0

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Book Description
Examines how conspiracy theories and related forms of misinformation and disinformation about the Covid-19 pandemic have circulated widely around the world. Commissioned by recognised experts on area studies and conspiracy theories, making use of the existing COMPACT (Comparative Analysis of Conspiracy Theories) network run by Butter and Knight. Presents case studies on how Covid conspiracism has played out, using a range of methods from a variety of disciplinary perspectives.

Author: Janet M. Box-Steffensmeier
Publisher: Cambridge University Press
ISBN: 1316060500
Category : Political Science
Languages : en
Pages : 297

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Book Description
Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. Janet M. Box-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting. This book is aimed at researchers and graduate students who have taken at least one course in multivariate regression. Examples are drawn from several areas of social science, including political behavior, elections, international conflict, criminology, and comparative political economy.

Author: Massimiliano Demata
Publisher: John Benjamins Publishing Company
ISBN: 9027256950
Category : Language Arts & Disciplines
Languages : en
Pages : 521

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Book Description
Conspiracy Theory Discourses addresses a crucial phenomenon in the current political and communicative context: conspiracy theories. The social impact of conspiracy theories is wide-ranging and their influence on the political life of many nations is increasing. Conspiracy Theory Discourses bridges an important gap by bringing discourse-based insights to existing knowledge about conspiracy theories, which has so far developed in research areas other than Linguistics and Discourse Studies. The chapters in this volume call attention to conspiracist discourses as deeply ingrained ways to interpret reality and construct social identities. They are based on multiple, partly overlapping analytical frameworks, including Critical Discourse Analysis, rhetoric, metaphor studies, multimodality, and corpus-based, quali-quantitative approaches. These approaches are an entry point to further explore the environments which enable the proliferation of conspiracy theories, and the paramount role of discourse in furthering conspiracist interpretations of reality.

Author: Mayank Kejriwal
Publisher: MIT Press
ISBN: 0262045095
Category : Computers
Languages : en
Pages : 559

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Book Description
A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence. The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19. This textbook offers rigorous and comprehensive coverage of the field. It focuses systematically on the major approaches, both those that have stood the test of time and the latest deep learning methods.

Author: David N. Rapp
Publisher: MIT Press
ISBN: 0262547686
Category : Psychology
Languages : en
Pages : 479

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Book Description
Interdisciplinary approaches to identifying, understanding, and remediating people's reliance on inaccurate information that they should know to be wrong. Our lives revolve around the acquisition of information. Sometimes the information we acquire—from other people, from books, or from the media—is wrong. Studies show that people rely on such misinformation, sometimes even when they are aware that the information is inaccurate or invalid. And yet investigations of learning and knowledge acquisition largely ignore encounters with this sort of problematic material. This volume fills the gap, offering theoretical and empirical perspectives on the processing of misinformation and its consequences. The contributors, from cognitive science and education science, provide analyses that represent a variety of methodologies, theoretical orientations, and fields of expertise. The chapters describe the behavioral consequences of relying on misinformation and outline possible remediations; discuss the cognitive activities that underlie encounters with inaccuracies, investigating why reliance occurs so readily; present theoretical and philosophical considerations of the nature of inaccuracies; and offer formal, empirically driven frameworks that detail when and how inaccuracies will lead to comprehension difficulties. Contributors Peter Afflerbach, Patricia A. Alexander, Jessica J. Andrews, Peter Baggetta, Jason L. G. Braasch, Ivar Bråten, M. Anne Britt, Rainer Bromme, Luke A. Buckland, Clark A. Chinn, Byeong-Young Cho, Sidney K. D'Mello, Andrea A. diSessa, Ullrich K. H. Ecker, Arthur C. Graesser, Douglas J. Hacker, Brenda Hannon, Xiangen Hu, Maj-Britt Isberner, Koto Ishiwa, Matthew E. Jacovina, Panayiota Kendeou, Jong-Yun Kim, Stephan Lewandowsky, Elizabeth J. Marsh, Ruth Mayo, Keith K. Millis, Edward J. O'Brien, Herre van Oostendorp, José Otero, David N. Rapp, Tobias Richter, Ronald W. Rinehart, Yaacov Schul, Colleen M. Seifert, Marc Stadtler, Brent Steffens, Helge I. Strømsø, Briony Swire, Sharda Umanath