Negativity Bias, Negativity Dominance, and Contagion
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The Folk Psychology of Souls
BEHAVIORAL AND BRAIN SCIENCES (2006) 29, 453–498 Printed in the United States of America The folk psychology of souls Jesse M. Bering Institute of Cognition and Culture, Queen’s University Belfast, Belfast BT7 1NN, United Kingdom. [email protected] qub.ac.uk/icc http://www.qub.ac.uk/schools/InstituteofCognitionCulture/Staff/ JesseMBering/ Abstract: The present article examines how people’s belief in an afterlife, as well as closely related supernatural beliefs, may open an empirical backdoor to our understanding of the evolution of human social cognition. Recent findings and logic from the cognitive sciences contribute to a novel theory of existential psychology, one that is grounded in the tenets of Darwinian natural selection. Many of the predominant questions of existential psychology strike at the heart of cognitive science. They involve: causal attribution (why is mortal behavior represented as being causally related to one’s afterlife? how are dead agents envisaged as communicating messages to the living?), moral judgment (why are certain social behaviors, i.e., transgressions, believed to have ultimate repercussions after death or to reap the punishment of disgruntled ancestors?), theory of mind (how can we know what it is “like” to be dead? what social-cognitive strategies do people use to reason about the minds of the dead?), concept acquisition (how does a common-sense dualism interact with a formalized socio-religious indoctrination in childhood? how are supernatural properties of the dead conceptualized by young minds?), and teleological reasoning (why do people so often see their lives as being designed for a purpose that must be accomplished before they perish? how do various life events affect people’s interpretation of this purpose?), among others. -
Bad Is Stronger Than Good
Review of General Psychology Copyright 2001 by the Educational Publishing Foundation 2001. Vol. 5. No. 4. 323-370 1089-2680/O1/S5.O0 DOI: 10.1037//1089-2680.5.4.323 Bad Is Stronger Than Good Roy F. Baumeister and Ellen Bratslavsky Catrin Finkenauer Case Western Reserve University Free University of Amsterdam Kathleen D. Vohs Case Western Reserve University The greater power of bad events over good ones is found in everyday events, major life events (e.g., trauma), close relationship outcomes, social network patterns, interper- sonal interactions, and learning processes. Bad emotions, bad parents, and bad feedback have more impact than good ones, and bad information is processed more thoroughly than good. The self is more motivated to avoid bad self-definitions than to pursue good ones. Bad impressions and bad stereotypes are quicker to form and more resistant to disconfirmation than good ones. Various explanations such as diagnosticity and sa- lience help explain some findings, but the greater power of bad events is still found when such variables are controlled. Hardly any exceptions (indicating greater power of good) can be found. Taken together, these findings suggest that bad is stronger than good, as a general principle across a broad range of psychological phenomena. Centuries of literary efforts and religious pothesis that bad is stronger than good (see also thought have depicted human life in terms of a Rozin & Royzman, in press). That is, events struggle between good and bad forces. At the that are negatively valenced (e.g., losing metaphysical level, evil gods or devils are the money, being abandoned by friends, and receiv- opponents of the divine forces of creation and ing criticism) will have a greater impact on the harmony. -
A Task-Based Taxonomy of Cognitive Biases for Information Visualization
A Task-based Taxonomy of Cognitive Biases for Information Visualization Evanthia Dimara, Steven Franconeri, Catherine Plaisant, Anastasia Bezerianos, and Pierre Dragicevic Three kinds of limitations The Computer The Display 2 Three kinds of limitations The Computer The Display The Human 3 Three kinds of limitations: humans • Human vision ️ has limitations • Human reasoning 易 has limitations The Human 4 ️Perceptual bias Magnitude estimation 5 ️Perceptual bias Magnitude estimation Color perception 6 易 Cognitive bias Behaviors when humans consistently behave irrationally Pohl’s criteria distilled: • Are predictable and consistent • People are unaware they’re doing them • Are not misunderstandings 7 Ambiguity effect, Anchoring or focalism, Anthropocentric thinking, Anthropomorphism or personification, Attentional bias, Attribute substitution, Automation bias, Availability heuristic, Availability cascade, Backfire effect, Bandwagon effect, Base rate fallacy or Base rate neglect, Belief bias, Ben Franklin effect, Berkson's paradox, Bias blind spot, Choice-supportive bias, Clustering illusion, Compassion fade, Confirmation bias, Congruence bias, Conjunction fallacy, Conservatism (belief revision), Continued influence effect, Contrast effect, Courtesy bias, Curse of knowledge, Declinism, Decoy effect, Default effect, Denomination effect, Disposition effect, Distinction bias, Dread aversion, Dunning–Kruger effect, Duration neglect, Empathy gap, End-of-history illusion, Endowment effect, Exaggerated expectation, Experimenter's or expectation bias, -
Gender De-Biasing in Speech Emotion Recognition
INTERSPEECH 2019 September 15–19, 2019, Graz, Austria Gender de-biasing in speech emotion recognition Cristina Gorrostieta, Reza Lotfian, Kye Taylor, Richard Brutti, John Kane Cogito Corporation fcgorrostieta,rlotfian,ktaylor,rbrutti,jkaneg @cogitocorp.com Abstract vertisement delivery [9], object classification [10] and image search results for occupations [11] . Machine learning can unintentionally encode and amplify neg- There are several factors which can contribute to produc- ative bias and stereotypes present in humans, be they conscious ing negative bias in machine learning models. One major cause or unconscious. This has led to high-profile cases where ma- is incomplete or skewed training data. If certain demographic chine learning systems have been found to exhibit bias towards categories are missing from the training data, models developed gender, race, and ethnicity, among other demographic cate- on this can fail to generalise when applied to new data contain- gories. Negative bias can be encoded in these algorithms based ing those missing categories. The majority of models deployed on: the representation of different population categories in the in modern technology applications are based on supervised ma- training data; bias arising from manual human labeling of these chine learning and much of the labeled data comes from people. data; as well as modeling types and optimisation approaches. In Labels can include movie reviews, hotel ratings, image descrip- this paper we assess the effect of gender bias in speech emotion tions, audio transcriptions, and perceptual ratings of emotion. recognition and find that emotional activation model accuracy is As people are inherently biased, and because models are an es- consistently lower for female compared to male audio samples. -
Information to Users
INFORMATION TO USERS This manuscript has been reproduced from the microfilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer. The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely affect reproduction. In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. Oversize materials (e.g., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand comer and continuing from left to right in equal sections with small overlaps. Each original is also photographed in one exposure and is included in reduced form at the back of the book. Photographs included in the original manuscript have been reproduced xerographically in this copy. Higher quality 6” x 9” black and white photographic prints are available for any photographs or illustrations appearing in this copy for an additional charge. Contact UMI directly to order. UMI A Bell & Howell Information Company 300 North Zeeb Road, Ann Arbor MI 48106-1346 USA 313/761-4700 800/521-0600 BIASES IN IMPRESSION FORMATION. A DEMONSTRATION OF A BIVARIATE MODEL OF EVALUATION DISSERTATION Presented in Partial Fulfillment for the Requirements for the Degree Doctor of Philosophy in the Graduate School of the Ohio State University By Wendi L. -
Optimism Bias and Differential Information Use in Supply Chain Forecasting
Optimism bias and differential information use in supply chain forecasting Robert Fildes Dept. Management Science, Lancaster University, LA1 4YX, UK Email: [email protected] Paul Goodwin*, School of Management, University of Bath Bath, BA2 7AY,UK Tel: 44-1225-383594 Fax: 44-1225-386473 Email: [email protected] August 2011 * Corresponding author Acknowledgements This research was supported by a grant from SAS and the International Institute of Forecasters. 1 Abstract Companies tend to produce over optimistic forecasts of demand. Psychologists have suggested that optimism, at least in part, results from selective bias in processing information. When high demand is more desirable than low demand information favouring high demand may carry more weight than information that suggests the opposite. To test this, participants in an experiment used a prototypical forecasting support system to forecast the demand uplift resulting from sales promotion campaigns. One group was rewarded if demand exceeded an uplift of 80%. All of the participants were also supplied with information some of which supported an uplift of greater than 80% and some of which suggested that the uplift would fall below this value. This enabled an assessment to be made of the extent to which those who were rewarded if the uplift exceeded 80% paid more attention to the positive information than those who were not rewarded. While the experiment provided strong evidence of desirability bias there was no evidence that the group receiving rewards for sales exceeding the threshold made greater use of positive reasons. Possible explanations for this are discussed, together with the implications for forecasting support system design. -
The Psychology of Aversion ... in the Times of Covid-19
Cienc. Acad. (Univ. Catol. Luis Amigó) | N°. 1 | pp. 17-19 | enero-diciembre | 2020 | ISSN (En línea): 2744-838X | Medellín - Colombia Editorial The psychology of aversion ... In the times of covid-19 Antonio Olivera-La Rosa* How to cite this article in APA: Oliveira-la Rosa, A. (January-December, 2020). The psychology of aversion ... in the days of COVID-19 [Editorial]. Science and Academy, (1), pp. 17-19. DOI: https://doi.org/10.21501/2744-838X.3718 Without a doubt, we are experiencing a difficult moment. These days, our concerns seem to orbit in one way or another around the threat of being infected and the “costs” derived from regulating it. Although the speed of the “spread” of related information gives this phenomenon a contemporary texture (Dawkins’ memetic analogy, never again in force), the particular economics of preventing infectious contacts is far from being current a concern. Indeed, the presence of parasites and the danger of contracting infectious diseases have been a constant threat to the survival and reproduction of the species from our ancestral past. As a consequence, the need to effectively regulate these threats–often invisible–has “shaped” much of our psychology and our social behavior. Given that one of the most powerful transmitters of pathogens is ourselves it is relevant to look back at the psychology of aversion in the days of COVID-19. Psychologist Steven Pinker (1997) defines aversion as an “intuitive microbiology”. Specifically, it seems that our immune system has a first line of defense that is responsible for avoiding the high energy costs (at the metabolic level) that comes from fighting infectious agents. -
Sad, Thus True. Negativity Bias in Judgments of Truth Benjamin E
Sad, thus true. Negativity bias in judgments of truth Benjamin E. Hilbig To cite this version: Benjamin E. Hilbig. Sad, thus true. Negativity bias in judgments of truth. Journal of Experimental Social Psychology, Elsevier, 2009, 45 (4), pp.983. 10.1016/j.jesp.2009.04.012. hal-00687909 HAL Id: hal-00687909 https://hal.archives-ouvertes.fr/hal-00687909 Submitted on 16 Apr 2012 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Accepted Manuscript Sad, thus true. Negativity bias in judgments of truth Benjamin E. Hilbig PII: S0022-1031(09)00093-6 DOI: 10.1016/j.jesp.2009.04.012 Reference: YJESP 2250 To appear in: Journal of Experimental Social Psychology Received Date: 24 October 2008 Revised Date: 30 March 2009 Accepted Date: 4 April 2009 Please cite this article as: Hilbig, B.E., Sad, thus true. Negativity bias in judgments of truth, Journal of Experimental Social Psychology (2009), doi: 10.1016/j.jesp.2009.04.012 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. -
DIALOGUE Page 1
DIALOGUE Page 1 Volume 23, No. 1 DIALOGUE Dialogue—Spring, 2008 The Official Newsletter of the Society for Personality and Social Psychology Chris Crandall & Monica Biernat, Co-Editors SPSP Annual Meeting 2009: Inside the Tampa-Bound in February Current Issue: By Jeff Simpson Tampa is located on Tampa Bay and claims three of the top 10 beaches in the country. SPSP Executive 2, 27 The 2008-2009 SPSP Conference Committee The average February temperature is 72 Committee, Division 8 (Jeff Simpson, Monica Biernat, and Bill degrees F, so this should please conference- Graziano) is pleased to announce that SPSP goers hoping to escape dreary winter locales! Tribute to Bill McGuire 4 will hold its 10th annual meeting in Tampa, Florida on February 5-7, 2009. Other attractions include theme parks, zoos, News from APA Council 6, 25, an aquarium, the Salvador Dali Museum in 32 Sam Gosling and Wendi Gardner have nearby St. Petersburg, and the brick-lined Forsyth on Deception 7 graciously agreed to serve as Program co- streets of former “Cigar Capital of the Chairs for the event, Tara Miller is making World,” Ybor City, now a shopping, restaurant, and museum district that you can Committee News: 10, some special arrangements to celebrate our Publication, 13, th reach from downtown by streetcar. 10 anniversary, and various pre-conference Graduate Students, 19 organizers are beginning to plan their Diversity/Climate individual meetings. SPSP will be arriving shortly after Tampa’s Gasparilla Pirate Festival—the Mardi Gras of Jonas on Ethics and TV 8 The official Call for Submissions will be on- Tampa—which is typically held on the last line in May; see p. -
Heuristics and Biases the Psychology of Intuitive Judgment. In
P1: FYX/FYX P2: FYX/UKS QC: FCH/UKS T1: FCH CB419-Gilovich CB419-Gilovich-FM May 30, 2002 12:3 HEURISTICS AND BIASES The Psychology of Intuitive Judgment Edited by THOMAS GILOVICH Cornell University DALE GRIFFIN Stanford University DANIEL KAHNEMAN Princeton University iii P1: FYX/FYX P2: FYX/UKS QC: FCH/UKS T1: FCH CB419-Gilovich CB419-Gilovich-FM May 30, 2002 12:3 published by the press syndicate of the university of cambridge The Pitt Building, Trumpington Street, Cambridge, United Kingdom cambridge university press The Edinburgh Building, Cambridge CB2 2RU, UK 40 West 20th Street, New York, NY 10011-4211, USA 477 Williamstown, Port Melbourne, VIC 3207, Australia Ruiz de Alarcon´ 13, 28014, Madrid, Spain Dock House, The Waterfront, Cape Town 8001, South Africa http://www.cambridge.org C Cambridge University Press 2002 This book is in copyright. Subject to statutory exception and to the provisions of relevant collective licensing agreements, no reproduction of any part may take place without the written permission of Cambridge University Press. First published 2002 Printed in the United States of America Typeface Palatino 9.75/12.5 pt. System LATEX2ε [TB] A catalog record for this book is available from the British Library. Library of Congress Cataloging in Publication data Heuristics and biases : the psychology of intuitive judgment / edited by Thomas Gilovich, Dale Griffin, Daniel Kahneman. p. cm. Includes bibliographical references and index. ISBN 0-521-79260-6 – ISBN 0-521-79679-2 (pbk.) 1. Judgment. 2. Reasoning (Psychology) 3. Critical thinking. I. Gilovich, Thomas. II. Griffin, Dale III. Kahneman, Daniel, 1934– BF447 .H48 2002 153.4 – dc21 2001037860 ISBN 0 521 79260 6 hardback ISBN 0 521 79679 2 paperback iv P1: FYX/FYX P2: FYX/UKS QC: FCH/UKS T1: FCH CB419-Gilovich CB419-Gilovich-FM May 30, 2002 12:3 Contents List of Contributors page xi Preface xv Introduction – Heuristics and Biases: Then and Now 1 Thomas Gilovich and Dale Griffin PART ONE. -
Flourishing-Positive-Psychology-And
Title: Flourishing: Positive psychology and the life well-lived. Author(s): Keyes, Corey L. M., (Ed), Emory U, Atlanta, GA, US. Haidt, Jonathan, (Ed), U Virginia, Charlottesville, VA, US. Publisher Washington, DC, US: American Psychological Association, 2003. xx, 335 pp. Information: ISBN: 1-55798-930-3 Link to this http://search.ebscohost.com/login.aspx?direct=true&db=pzh&jid=200304013&site=ehost- Publication: live Publication Edited Book Type: Subjects: Health; Positive Psychology; Positivism; Psychology; Well Being; Happiness; Satisfaction Language: English Abstract: The purpose of this volume is to begin to study "that which makes life worthwhile," and to investigate some possible mechanisms for promoting the ranks of healthy, productive, happy, and flourishing individuals. The authors categorize the volume's four sections and indicate wherein each chapter falls. (PsycINFO Database Record (c) 2006 APA, all rights reserved) Table of Contents: Contributors Acknowledgments Foreword: The past and future of positive psychology [by] Martin E. P. Seligman Introduction: Human flourishing--the study of that which makes life worthwhile Corey L. M. Keyes and Jonathan Haidt I. Rise to life's challenges Flourishing under fire: Resilience as a prototype of challenged thriving Carol D. Ryff and Burton Singer / 15-36 Turning points as opportunities for psychological growth Elaine Wethington / 37-53 Optimism and flourishing Christopher Peterson and Edward C. Chang / 55-79 II. Engage and relate The construction of meaning through vital engagement Jeanne Nakamura and Mihaly Csikzentmihalyi / 83-104 Personal goals, life meaning, and virtue: Wellsprings of a positive life Robert A. Emmons / 105-128 Toward a positive psychology of relationships Harry T. -
An Introduction to Threat-Heuristic Theory Marika Landau-Wells June 18, 2018 Version
Old Solutions to New Problems: An Introduction to Threat-Heuristic Theory Marika Landau-Wells June 18, 2018 version Abstract The world is a dangerous place. This adage underlies many of the justifications for government. At a more granular level, protecting citizens from potential dangers serves as the justification for many of the measures governments undertake in the domains of foreign and domestic policy. Despite the relevance of danger writ large as a motivating force for outcomes of interest, political science has not yet interrogated the domain of dangers as a coherent space within which to study political preferences, attitudes and behaviors. In this paper, I develop Threat-Heuristic Theory (THT), a new individual-level model of the psychological processes connecting the detection of danger to preferences for reducing that danger through political action. I provide an extensive review of the threat perception literature in biology and cognitive science on which the theory is built. I argue that THT’s model is general enough to apply across the space of dangers writ large and that its mechanisms are species-typical and so apply both to ordinary citizens and to political elites. I also present observational and experimental data from two original surveys to support: (1) THT’s core concept of threat classification; (2) the distinctiveness of threat classification from other relevant constructs, including disposition and political ideology; and (3) the existence of a set of issue areas where THT is likely to outperform existing theories linking threat perception to political behavior. I show that this set includes topics of current relevance, including immigration, fundamentalism, and climate change.