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Fake News and Propaganda: a Critical Discourse Research Perspective
Open Information Science 2019; 3: 197–208 Research article Iulian Vamanu* Fake News and Propaganda: A Critical Discourse Research Perspective https://doi.org/10.1515/opis-2019-0014 Received September 25, 2018; accepted May 9, 2019 Abstract: Having been invoked as a disturbing factor in recent elections across the globe, fake news has become a frequent object of inquiry for scholars and practitioners in various fields of study and practice. My article draws intellectual resources from Library and Information Science, Communication Studies, Argumentation Theory, and Discourse Research to examine propagandistic dimensions of fake news and to suggest possible ways in which scientific research can inform practices of epistemic self-defense. Specifically, the article focuses on a cluster of fake news of potentially propagandistic import, employs a framework developed within Argumentation Theory to explore ten ways in which fake news may be used as propaganda, and suggests how Critical Discourse Research, an emerging cluster of theoretical and methodological approaches to discourses, may provide people with useful tools for identifying and debunking fake news stories. My study has potential implications for further research and for literacy practices. In particular, it encourages empirical studies of its guiding premise that people who became familiar with certain research methods are less susceptible to fake news. It also contributes to the design of effective research literacy practices. Keywords: post-truth, literacy, scientific research, discourse studies, persuasion “Don’t be so overly dramatic about it, Chuck. You’re saying it’s a falsehood [...] Sean Spicer, our press secretary, gave alternative facts to that.” (Kellyanne Conway, Counselor to the U.S. -
Predicting the Political Alignment of Twitter Users
2011 IEEE International Conference on Privacy, Security, Risk, and Trust, and IEEE International Conference on Social Computing Predicting the Political Alignment of Twitter Users Michael D. Conover, Bruno Gonc¸alves, Jacob Ratkiewicz, Alessandro Flammini and Filippo Menczer Center for Complex Networks and Systems Research School of Informatics and Computing Indiana University, Bloomington Abstract—The widespread adoption of social media for po- Of particular interest to political campaigns is how the scale litical communication creates unprecedented opportunities to of the Twitter platform creates the potential to monitor political monitor the opinions of large numbers of politically active opinions in real time. For example, imagine a campaign individuals in real time. However, without a way to distinguish between users of opposing political alignments, conflicting signals interested in tracking voter opinion relating to a specific piece at the individual level may, in the aggregate, obscure partisan of legislation. One could easily envision applying sentiment differences in opinion that are important to political strategy. analysis tools to the set of tweets containing keyword relating In this article we describe several methods for predicting the to the bill. However, without the ability to distinguish between political alignment of Twitter users based on the content and users with different political affiliations, aggregation over structure of their political communication in the run-up to the 2010 U.S. midterm elections. Using a data set of 1,000 manually- conflicting partisan signals would likely obscure the nuances annotated individuals, we find that a support vector machine most relevant to political strategy. (SVM) trained on hashtag metadata outperforms an SVM trained Here we explore several different approaches to the problem on the full text of users’ tweets, yielding predictions of political of discriminating between users with left- and right-leaning affiliations with 91% accuracy. -
Can You Spot COVID-19 Misinformation?
Can You Spot COVID-19 Misinformation? We’re all seeking the latest information on the COVID-19 pandemic and what might be coming next. But how can we spot and avoid the false information that is also circulating, especially on social media? Here are some things to look out for. Have you received a message from your friend Did you see a statement being shared on social that says her aunt/teacher/colleague knows networks that looks like it has come from the someone who works in the ER and has the government or a health authority? following information? If so: Be cautious. If so: Be a detective. Lots of copy and paste It may be ‘imposter rumors are spread content’, which is this way. when it’s not. Action: try pasting the Action: social networks. If you website of the organization see lots of examples, it quoted and check whether has likely travelled a long the information on their way before it got to you. site is a match. Maybe someone sent you a list of top tips to Did you see that very dramatic video on social media avoid the virus, like eating certain foods or using showing the latest updates relating to COVID-19? home remedies? If so: Be skeptical. If so: Look closer. There’s no food or Sometimes videos and supplement that can stop pictures being shared on you getting this virus, social media aren’t quite and there’s currently no what they seem. treatment - you can only try to manage the symptoms. Action: try reverse image searching pictures ? Action: consult the latest to see if they have been guidelines from the World used before. -
Political Rhetoric and Minority Health: Introducing the Rhetoric- Policy-Health Paradigm
Saint Louis University Journal of Health Law & Policy Volume 12 Issue 1 Public Health Law in the Era of Alternative Facts, Isolationism, and the One Article 7 Percent 2018 Political Rhetoric and Minority Health: Introducing the Rhetoric- Policy-Health Paradigm Kimberly Cogdell Grainger North Carolina Central University, [email protected] Follow this and additional works at: https://scholarship.law.slu.edu/jhlp Part of the Health Law and Policy Commons Recommended Citation Kimberly C. Grainger, Political Rhetoric and Minority Health: Introducing the Rhetoric-Policy-Health Paradigm, 12 St. Louis U. J. Health L. & Pol'y (2018). Available at: https://scholarship.law.slu.edu/jhlp/vol12/iss1/7 This Symposium Article is brought to you for free and open access by Scholarship Commons. It has been accepted for inclusion in Saint Louis University Journal of Health Law & Policy by an authorized editor of Scholarship Commons. For more information, please contact Susie Lee. SAINT LOUIS UNIVERSITY SCHOOL OF LAW POLITICAL RHETORIC AND MINORITY HEALTH: INTRODUCING THE RHETORIC-POLICY-HEALTH PARADIGM KIMBERLY COGDELL GRAINGER* ABSTRACT Rhetoric is a persuasive device that has been studied for centuries by philosophers, thinkers, and teachers. In the political sphere of the Trump era, the bombastic, social media driven dissemination of rhetoric creates the perfect space to increase its effect. Today, there are clear examples of how rhetoric influences policy. This Article explores the link between divisive political rhetoric and policies that negatively affect minority health in the U.S. The rhetoric-policy-health (RPH) paradigm illustrates the connection between rhetoric and health. Existing public health policy research related to Health in All Policies and the social determinants of health combined with rhetorical persuasive tools create the foundation for the paradigm. -
Fake News, Real Hip: Rhetorical Dimensions of Ironic Communication in Mass Media
FAKE NEWS, REAL HIP: RHETORICAL DIMENSIONS OF IRONIC COMMUNICATION IN MASS MEDIA By Paige Broussard Matthew Guy Heather Palmer Associate Professor Associate Professor Director of Thesis Committee Chair Rebecca Jones UC Foundation Associate Professor Committee Chair i FAKE NEWS, REAL HIP: RHETORICAL DIMENSIONS OF IRONIC COMMUNICATION IN MASS MEDIA By Paige Broussard A Thesis Submitted to the Faculty of the University of Tennessee at Chattanooga in Partial Fulfillment of the Requirements of the Degree of Master of Arts in English The University of Tennessee at Chattanooga Chattanooga, Tennessee December 2013 ii ABSTRACT This paper explores the growing genre of fake news, a blend of information, entertainment, and satire, in main stream mass media, specifically examining the work of Stephen Colbert. First, this work examines classic definitions of satire and contemporary definitions and usages of irony in an effort to understand how they function in the fake news genre. Using a theory of postmodern knowledge, this work aims to illustrate how satiric news functions epistemologically using both logical and narrative paradigms. Specific artifacts are examined from Colbert’s speech in an effort to understand how rhetorical strategies function during his performances. iii ACKNOWLEDGEMENTS Without the gracious help of several supporting faculty members, this thesis simply would not exist. I would like to acknowledge Dr. Matthew Guy, who agreed to direct this project, a piece of work that I was eager to tackle though I lacked a steadfast compass. Thank you, Dr. Rebecca Jones, for both stern revisions and kind encouragement, and knowing the appropriate times for each. I would like to thank Dr. -
Topical Web Crawlers: Evaluating Adaptive Algorithms
Topical Web Crawlers: Evaluating Adaptive Algorithms FILIPPO MENCZER, GAUTAM PANT and PADMINI SRINIVASAN The University of Iowa Topical crawlers are increasingly seen as a way to address the scalability limitations of universal search engines, by distributing the crawling process across users, queries, or even client comput- ers. The context available to such crawlers can guide the navigation of links with the goal of efficiently locating highly relevant target pages. We developed a framework to fairly evaluate top- ical crawling algorithms under a number of performance metrics. Such a framework is employed here to evaluate different algorithms that have proven highly competitive among those proposed in the literature and in our own previous research. In particular we focus on the tradeoff be- tween exploration and exploitation of the cues available to a crawler, and on adaptive crawlers that use machine learning techniques to guide their search. We find that the best performance is achieved by a novel combination of explorative and exploitative bias, and introduce an evolution- ary crawler that surpasses the performance of the best non-adaptive crawler after sufficiently long crawls. We also analyze the computational complexity of the various crawlers and discuss how performance and complexity scale with available resources. Evolutionary crawlers achieve high efficiency and scalability by distributing the work across concurrent agents, resulting in the best performance/cost ratio. Categories and Subject Descriptors: H.3.3 [Information Storage -
1 Validation of a Novel Climate Change Denial Measure Using Item
1 Validation of a Novel Climate Change Denial Measure Using Item Response Theory Mr. George Lorama*,, Dr. Mathew Linga, Mr. Andrew Heada, Dr. Edward J.R. Clarkeb a Deakin University, Geelong, Australia, Misinformation Lab, School of Psychology b Federation University, Mount Helen, Australia, School of Health and Life Sciences * Corresponding Author, Misinformation Lab, Deakin University, Locked Bag 20001, Geelong VIC 3220, Australia. Email address: [email protected] Declarations of Interest: All authors declare that no conflict of interest exists. Acknowledgements: This work was supported by Deakin University (4th Year Student Research Funding; 4th Year Publication Award). 2 Abstract Climate change denial persists despite overwhelming scientific consensus on the issue. However, the rates of denial reported in the literature are inconsistent, potentially as a function of ad hoc measurement of denial. This further impacts on interpretability and integration of research. This study aims to create a standardised measure of climate change denial using Item Response Theory (IRT). The measure was created by pooling items from existing denial measures, and was administered to a U.S. sample recruited using Amazon MTurk (N = 206). Participants responded to the prototype measure as well as being measured on a number of constructs that have been shown to correlate with climate change denial (authoritarianism, social dominance orientation, mistrust in scientists, and conspiracist beliefs). Item characteristics were calculated using a 2-parameter IRT model. After screening out poorly discriminating and redundant items, the scale contained eight items. Discrimination indices were high, ranging from 2.254 to 30.839, but item difficulties ranged from 0.437 to 1.167, capturing a relatively narrow band of climate change denial. -
Handbook of Research on Deception, Fake News, and Misinformation Online
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by University of Strathclyde Institutional Repository Handbook of Research on Deception, Fake News, and Misinformation Online Innocent E. Chiluwa Covenant University, Nigeria Sergei A. Samoilenko George Mason University, USA A volume in the Advances in Media, Entertainment, and the Arts (AMEA) Book Series Published in the United States of America by IGI Global Information Science Reference (an imprint of IGI Global) 701 E. Chocolate Avenue Hershey PA, USA 17033 Tel: 717-533-8845 Fax: 717-533-8661 E-mail: [email protected] Web site: http://www.igi-global.com Copyright © 2019 by IGI Global. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher. Product or company names used in this set are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark. Library of Congress Cataloging-in-Publication Data Names: Chiluwa, Innocent, editor. | Samoilenko, Sergei A., 1976- editor. Title: Handbook of research on deception, fake news, and misinformation online / Innocent E. Chiluwa and Sergei A. Samoilenko, editors. Description: Hershey, PA : Information Science Reference, 2019. | Includes bibliographical references and index. Identifiers: LCCN 2018055436| ISBN 9781522585350 (hardcover) | ISBN 9781522585374 (ebook) | ISBN 9781522585367 (softcover) Subjects: LCSH: Fake news. | Deception. | Misinformation. | Social media. Classification: LCC PN4784.F27 H365 2019 | DDC 302.23/1--dc23 LC record available at https://lccn.loc.gov/2018055436 This book is published in the IGI Global book series Advances in Media, Entertainment, and the Arts (AMEA) (ISSN: 2475-6814; eISSN: 2475-6830) British Cataloguing in Publication Data A Cataloguing in Publication record for this book is available from the British Library. -
Infodemic and Misinformation in the Fight Against COVID-19
Understanding the infodemic and misinformation in the fight against COVID-19 |DIGITAL TRANSFORMATION TOOLKIT KNOWLEDGE TOOLS 9 COVID-19 Factsheet Digital Health Understanding the Infodemic and Misinformation in the fight against COVID-19 IMPORTANT NOTE: Stay informed with timely information on the Coronavirus Disease (COVID-19), available on the PAHO and WHO websites and through your national and local public health authorities What is the Infodemic? As stated by the WHO, the COVID-19 outbreak and response has been accompanied by a massive infodemic: an overabundance of information – some accurate and some not – that makes it hard for people to find trustworthy sources and Access to the right reliable guidance when they need it. Infodemic refers to a large increase in the volume of information associated with a information, at the specific topic and whose growth can occur exponentially in a right time, in the right short period of time due to a specific incident, such as the format IS CRITICAL! current pandemic. In this situation, misinformation and rumors appear on the scene, along with manipulation of information with doubtful intent. In the information age, this phenomenon is amplified through social networks, spreading farther and faster like a virus.1 What is Misinformation? Misinformation is false or inaccurate information deliberately intended to deceive. In the context of the current pandemic, it can greatly affect all aspects of life, especifically people’s mental health, since searching for 361,000,000 videos were uploaded on COVID-19 updates on the Internet has YouTube in the last 30 days under the “COVID-19” jumped 50% – 70% across all and “COVID 19” classification, and about 19,200 generations. -
Misinformation
Psychological Science in the Public Interest Misinformation and Its Correction: 13(3) 106 –131 © The Author(s) 2012 Reprints and permission: Continued Influence and sagepub.com/journalsPermissions.nav DOI: 10.1177/1529100612451018 Successful Debiasing http://pspi.sagepub.com Stephan Lewandowsky1, Ullrich K. H. Ecker1, Colleen M. Seifert2, Norbert Schwarz2, and John Cook1,3 1University of Western Australia, 2University of Michigan, and 3University of Queensland Summary The widespread prevalence and persistence of misinformation in contemporary societies, such as the false belief that there is a link between childhood vaccinations and autism, is a matter of public concern. For example, the myths surrounding vaccinations, which prompted some parents to withhold immunization from their children, have led to a marked increase in vaccine-preventable disease, as well as unnecessary public expenditure on research and public-information campaigns aimed at rectifying the situation. We first examine the mechanisms by which such misinformation is disseminated in society, both inadvertently and purposely. Misinformation can originate from rumors but also from works of fiction, governments and politicians, and vested interests. Moreover, changes in the media landscape, including the arrival of the Internet, have fundamentally influenced the ways in which information is communicated and misinformation is spread. We next move to misinformation at the level of the individual, and review the cognitive factors that often render misinformation resistant to correction. We consider how people assess the truth of statements and what makes people believe certain things but not others. We look at people’s memory for misinformation and answer the questions of why retractions of misinformation are so ineffective in memory updating and why efforts to retract misinformation can even backfire and, ironically, increase misbelief. -
Understanding and Countering Climate Science Denial
Journal & Proceedings of the Royal Society of New South Wales, vol. 150, part 2, 2017, pp. 207–219. ISSN 0035-9173/17/020207-13 Understanding and countering climate science denial John Cook Center for Climate Change Communication, George Mason University, Fairfax, Virginia, USA Email: [email protected] Abstract Science denial causes a range of damaging impacts on society. This is particularly the case with climate science denial, which has resulted in strong polarization around a non-controversial scientific issue, and prolific dissemination of climate misinformation. This in turn has had the effect of reducing public acceptance of climate change, and eroding support for policies to mitigate climate change. In order to develop effective responses to science denial, it is necessary to first understand the drivers of science denial, which leads to deeper understanding of the techniques employed to cast doubt on the reality of climate change. Analysis of denialist techniques can inform development of interventions that neutralize misinformation. Inoculation has been shown to be an effective way to preemptively reduce the influence of climate science denial. Two methods to practically implement inoculation are misconception-based learning (teaching science by addressing scientific misconceptions) and techno- cognition (an interdisciplinary approach that implements psychological principles in the design of technological solutions to misinformation). Interventions and procedures developed for the counter- ing of climate misinformation may also be applied to other scientific topics rife with misinformation, such as vaccination and evolution. Introduction damaging and significant impacts of misin- here is an overwhelming scientific con- formation. In 2014, the World Economic T sensus that humans are causing global Forum named online misinformation as one warming. -
Supervised Machine Learning Bot Detection Techniques to Identify
SMU Data Science Review Volume 1 | Number 2 Article 5 2018 Supervised Machine Learning Bot Detection Techniques to Identify Social Twitter Bots Phillip George Efthimion Southern Methodist University, [email protected] Scott aP yne Southern Methodist University, [email protected] Nicholas Proferes University of Kentucky, [email protected] Follow this and additional works at: https://scholar.smu.edu/datasciencereview Part of the Theory and Algorithms Commons Recommended Citation Efthimion, hiP llip George; Payne, Scott; and Proferes, Nicholas (2018) "Supervised Machine Learning Bot Detection Techniques to Identify Social Twitter Bots," SMU Data Science Review: Vol. 1 : No. 2 , Article 5. Available at: https://scholar.smu.edu/datasciencereview/vol1/iss2/5 This Article is brought to you for free and open access by SMU Scholar. It has been accepted for inclusion in SMU Data Science Review by an authorized administrator of SMU Scholar. For more information, please visit http://digitalrepository.smu.edu. Efthimion et al.: Supervised Machine Learning Bot Detection Techniques to Identify Social Twitter Bots Supervised Machine Learning Bot Detection Techniques to Identify Social Twitter Bots Phillip G. Efthimion1, Scott Payne1, Nick Proferes2 1Master of Science in Data Science, Southern Methodist University 6425 Boaz Lane, Dallas, TX 75205 {pefthimion, mspayne}@smu.edu [email protected] Abstract. In this paper, we present novel bot detection algorithms to identify Twitter bot accounts and to determine their prevalence in current online discourse. On social media, bots are ubiquitous. Bot accounts are problematic because they can manipulate information, spread misinformation, and promote unverified information, which can adversely affect public opinion on various topics, such as product sales and political campaigns.