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Deepfakes and Cheap Fakes
DEEPFAKES AND CHEAP FAKES THE MANIPULATION OF AUDIO AND VISUAL EVIDENCE Britt Paris Joan Donovan DEEPFAKES AND CHEAP FAKES - 1 - CONTENTS 02 Executive Summary 05 Introduction 10 Cheap Fakes/Deepfakes: A Spectrum 17 The Politics of Evidence 23 Cheap Fakes on Social Media 25 Photoshopping 27 Lookalikes 28 Recontextualizing 30 Speeding and Slowing 33 Deepfakes Present and Future 35 Virtual Performances 35 Face Swapping 38 Lip-synching and Voice Synthesis 40 Conclusion 47 Acknowledgments Author: Britt Paris, assistant professor of Library and Information Science, Rutgers University; PhD, 2018,Information Studies, University of California, Los Angeles. Author: Joan Donovan, director of the Technology and Social Change Research Project, Harvard Kennedy School; PhD, 2015, Sociology and Science Studies, University of California San Diego. This report is published under Data & Society’s Media Manipulation research initiative; for more information on the initiative, including focus areas, researchers, and funders, please visit https://datasociety.net/research/ media-manipulation DATA & SOCIETY - 2 - EXECUTIVE SUMMARY Do deepfakes signal an information apocalypse? Are they the end of evidence as we know it? The answers to these questions require us to understand what is truly new about contemporary AV manipulation and what is simply an old struggle for power in a new guise. The first widely-known examples of amateur, AI-manipulated, face swap videos appeared in November 2017. Since then, the news media, and therefore the general public, have begun to use the term “deepfakes” to refer to this larger genre of videos—videos that use some form of deep or machine learning to hybridize or generate human bodies and faces. -
Digital Platform As a Double-Edged Sword: How to Interpret Cultural Flows in the Platform Era
International Journal of Communication 11(2017), 3880–3898 1932–8036/20170005 Digital Platform as a Double-Edged Sword: How to Interpret Cultural Flows in the Platform Era DAL YONG JIN Simon Fraser University, Canada This article critically examines the main characteristics of cultural flows in the era of digital platforms. By focusing on the increasing role of digital platforms during the Korean Wave (referring to the rapid growth of local popular culture and its global penetration starting in the late 1990s), it first analyzes whether digital platforms as new outlets for popular culture have changed traditional notions of cultural flows—the forms of the export and import of popular culture mainly from Western countries to non-Western countries. Second, it maps out whether platform-driven cultural flows have resolved existing global imbalances in cultural flows. Third, it analyzes whether digital platforms themselves have intensified disparities between Western and non- Western countries. In other words, it interprets whether digital platforms have deepened asymmetrical power relations between a few Western countries (in particular, the United States) and non-Western countries. Keywords: digital platforms, cultural flows, globalization, social media, asymmetrical power relations Cultural flows have been some of the most significant issues in globalization and media studies since the early 20th century. From television programs to films, and from popular music to video games, cultural flows as a form of the export and import of cultural materials have been increasing. Global fans of popular culture used to enjoy films, television programs, and music by either purchasing DVDs and CDs or watching them on traditional media, including television and on the big screen. -
D2.2: Research Data Exchange Solution
H2020-ICT-2018-2 /ICT-28-2018-CSA SOMA: Social Observatory for Disinformation and Social Media Analysis D2.2: Research data exchange solution Project Reference No SOMA [825469] Deliverable D2.2: Research Data exchange (and transparency) solution with platforms Work package WP2: Methods and Analysis for disinformation modeling Type Report Dissemination Level Public Date 30/08/2019 Status Final Authors Lynge Asbjørn Møller, DATALAB, Aarhus University Anja Bechmann, DATALAB, Aarhus University Contributor(s) See fact-checking interviews and meetings in appendix 7.2 Reviewers Noemi Trino, LUISS Datalab, LUISS University Stefano Guarino, LUISS Datalab, LUISS University Document description This deliverable compiles the findings and recommended solutions and actions needed in order to construct a sustainable data exchange model for stakeholders, focusing on a differentiated perspective, one for journalists and the broader community, and one for university-based academic researchers. SOMA-825469 D2.2: Research data exchange solution Document Revision History Version Date Modifications Introduced Modification Reason Modified by v0.1 28/08/2019 Consolidation of first DATALAB, Aarhus draft University v0.2 29/08/2019 Review LUISS Datalab, LUISS University v0.3 30/08/2019 Proofread DATALAB, Aarhus University v1.0 30/08/2019 Final version DATALAB, Aarhus University 30/08/2019 Page | 1 SOMA-825469 D2.2: Research data exchange solution Executive Summary This report provides an evaluation of current solutions for data transparency and exchange with social media platforms, an account of the historic obstacles and developments within the subject and a prioritized list of future scenarios and solutions for data access with social media platforms. The evaluation of current solutions and the historic accounts are based primarily on a systematic review of academic literature on the subject, expanded by an account on the most recent developments and solutions. -
Deepfakes and Cheap Fakes
DEEPFAKES AND CHEAP FAKES THE MANIPULATION OF AUDIO AND VISUAL EVIDENCE Britt Paris Joan Donovan DEEPFAKES AND CHEAP FAKES - 1 - CONTENTS 02 Executive Summary 05 Introduction 10 Cheap Fakes/Deepfakes: A Spectrum 17 The Politics of Evidence 23 Cheap Fakes on Social Media 25 Photoshopping 27 Lookalikes 28 Recontextualizing 30 Speeding and Slowing 33 Deepfakes Present and Future 35 Virtual Performances 35 Face Swapping 38 Lip-synching and Voice Synthesis 40 Conclusion 47 Acknowledgments Author: Britt Paris, assistant professor of Library and Information Science, Rutgers University; PhD, 2018,Information Studies, University of California, Los Angeles. Author: Joan Donovan, director of the Technology and Social Change Research Project, Harvard Kennedy School; PhD, 2015, Sociology and Science Studies, University of California San Diego. This report is published under Data & Society’s Media Manipulation research initiative; for more information on the initiative, including focus areas, researchers, and funders, please visit https://datasociety.net/research/ media-manipulation DATA & SOCIETY - 2 - EXECUTIVE SUMMARY Do deepfakes signal an information apocalypse? Are they the end of evidence as we know it? The answers to these questions require us to understand what is truly new about contemporary AV manipulation and what is simply an old struggle for power in a new guise. The first widely-known examples of amateur, AI-manipulated, face swap videos appeared in November 2017. Since then, the news media, and therefore the general public, have begun to use the term “deepfakes” to refer to this larger genre of videos—videos that use some form of deep or machine learning to hybridize or generate human bodies and faces. -
Letter, If Not the Spirit, of One Or the Other Definition
Producing Open Source Software How to Run a Successful Free Software Project Karl Fogel Producing Open Source Software: How to Run a Successful Free Software Project by Karl Fogel Copyright © 2005-2021 Karl Fogel, under the CreativeCommons Attribution-ShareAlike (4.0) license. Version: 2.3214 Home site: https://producingoss.com/ Dedication This book is dedicated to two dear friends without whom it would not have been possible: Karen Under- hill and Jim Blandy. i Table of Contents Preface ............................................................................................................................. vi Why Write This Book? ............................................................................................... vi Who Should Read This Book? ..................................................................................... vi Sources ................................................................................................................... vii Acknowledgements ................................................................................................... viii For the first edition (2005) ................................................................................ viii For the second edition (2021) .............................................................................. ix Disclaimer .............................................................................................................. xiii 1. Introduction ................................................................................................................... -
Estimating Age and Gender in Instagram Using Face Recognition: Advantages, Bias and Issues. / Diego Couto De Las Casas
ESTIMATING AGE AND GENDER IN INSTAGRAM USING FACE RECOGNITION: ADVANTAGES, BIAS AND ISSUES. DIEGO COUTO DE. LAS CASAS ESTIMATING AGE AND GENDER IN INSTAGRAM USING FACE RECOGNITION: ADVANTAGES, BIAS AND ISSUES. Dissertação apresentada ao Programa de Pós-Graduação em Ciência da Computação do Instituto de Ciências Exatas da Univer- sidade Federal de Minas Gerais – Depar- tamento de Ciência da Computação como requisito parcial para a obtenção do grau de Mestre em Ciência da Computação. Orientador: Virgílio Augusto Fernandes de Almeida Belo Horizonte Fevereiro de 2016 DIEGO COUTO DE. LAS CASAS ESTIMATING AGE AND GENDER IN INSTAGRAM USING FACE RECOGNITION: ADVANTAGES, BIAS AND ISSUES. Dissertation presented to the Graduate Program in Ciência da Computação of the Universidade Federal de Minas Gerais – De- partamento de Ciência da Computação in partial fulfillment of the requirements for the degree of Master in Ciência da Com- putação. Advisor: Virgílio Augusto Fernandes de Almeida Belo Horizonte February 2016 © 2016, Diego Couto de Las Casas. Todos os direitos reservados Ficha catalográfica elaborada pela Biblioteca do ICEx - UFMG Las Casas, Diego Couto de. L337e Estimating age and gender in Instagram using face recognition: advantages, bias and issues. / Diego Couto de Las Casas. – Belo Horizonte, 2016. xx, 80 f. : il.; 29 cm. Dissertação (mestrado) - Universidade Federal de Minas Gerais – Departamento de Ciência da Computação. Orientador: Virgílio Augusto Fernandes de Almeida. 1. Computação - Teses. 2. Redes sociais on-line. 3. Computação social. 4. Instagram. I. Orientador. II. Título. CDU 519.6*04(043) Acknowledgments Gostaria de agradecer a todos que me fizeram chegar até aqui. Àminhafamília,pelosconselhos,pitacoseportodoosuporteaolongodesses anos. Aos meus colegas do CAMPS(-Élysées),pelascolaborações,pelasrisadasepelo companheirismo. -
Artificial Intelligence: Risks to Privacy and Democracy
Artificial Intelligence: Risks to Privacy and Democracy Karl Manheim* and Lyric Kaplan** 21 Yale J.L. & Tech. 106 (2019) A “Democracy Index” is published annually by the Economist. For 2017, it reported that half of the world’s countries scored lower than the previous year. This included the United States, which was de- moted from “full democracy” to “flawed democracy.” The princi- pal factor was “erosion of confidence in government and public in- stitutions.” Interference by Russia and voter manipulation by Cam- bridge Analytica in the 2016 presidential election played a large part in that public disaffection. Threats of these kinds will continue, fueled by growing deployment of artificial intelligence (AI) tools to manipulate the preconditions and levers of democracy. Equally destructive is AI’s threat to deci- sional and informational privacy. AI is the engine behind Big Data Analytics and the Internet of Things. While conferring some con- sumer benefit, their principal function at present is to capture per- sonal information, create detailed behavioral profiles and sell us goods and agendas. Privacy, anonymity and autonomy are the main casualties of AI’s ability to manipulate choices in economic and po- litical decisions. The way forward requires greater attention to these risks at the na- tional level, and attendant regulation. In its absence, technology gi- ants, all of whom are heavily investing in and profiting from AI, will dominate not only the public discourse, but also the future of our core values and democratic institutions. * Professor of Law, Loyola Law School, Los Angeles. This article was inspired by a lecture given in April 2018 at Kansai University, Osaka, Japan. -
Information Retrieval and Mining in Distributed Environments Studies in Computational Intelligence,Volume 324 Editor-In-Chief Prof
Alessandro Soro, Eloisa Vargiu, Giuliano Armano, and Gavino Paddeu (Eds.) Information Retrieval and Mining in Distributed Environments Studies in Computational Intelligence,Volume 324 Editor-in-Chief Prof. Janusz Kacprzyk Systems Research Institute Polish Academy of Sciences ul. Newelska 6 01-447 Warsaw Poland E-mail: [email protected] Further volumes of this series can be found on our homepage: springer.com Vol. 313. Imre J. Rudas, J´anos Fodor, and Janusz Kacprzyk (Eds.) Vol. 301. Giuliano Armano, Marco de Gemmis, Computational Intelligence in Engineering, 2010 Giovanni Semeraro, and Eloisa Vargiu (Eds.) ISBN 978-3-642-15219-1 Intelligent Information Access, 2010 Vol. 314. Lorenzo Magnani,Walter Carnielli, and ISBN 978-3-642-13999-4 Claudio Pizzi (Eds.) Vol. 302. Bijaya Ketan Panigrahi,Ajith Abraham, Model-Based Reasoning in Science and Technology, 2010 and Swagatam Das (Eds.) ISBN 978-3-642-15222-1 Computational Intelligence in Power Engineering, 2010 Vol. 315. Mohammad Essaaidi, Michele Malgeri, and ISBN 978-3-642-14012-9 Costin Badica (Eds.) Vol. 303. Joachim Diederich, Cengiz Gunay, and Intelligent Distributed Computing IV, 2010 James M. Hogan ISBN 978-3-642-15210-8 Recruitment Learning, 2010 Vol. 316. Philipp Wolfrum ISBN 978-3-642-14027-3 Information Routing, Correspondence Finding, and Object Vol. 304.Anthony Finn and Lakhmi C. Jain (Eds.) Recognition in the Brain, 2010 Innovations in Defence Support Systems, 2010 ISBN 978-3-642-15253-5 ISBN 978-3-642-14083-9 Vol. 317. Roger Lee (Ed.) Vol. 305. Stefania Montani and Lakhmi C. Jain (Eds.) Computer and Information Science 2010 Successful Case-Based Reasoning Applications-1, 2010 ISBN 978-3-642-15404-1 ISBN 978-3-642-14077-8 Vol. -
2014 URCA Abstracts for Oral and Poster Presentations
Oral & Poster Presentation Abstracts Katheryn Adam, Chemistry Faculty Mentor: Marco Bonizzoni, Chemistry An off-the-shelf sensing system for physiologically relevant phosphates We have developed a chemical sensing system that can differentiate biologically relevant phosphates (nucleoside diphosphates, pyrophosphate) in neutral water solution using only commercially available components. Our approach uses a common fluorescent indicator and a poly(amidoamine) (PAMAM) polycationic receptor to construct an indicator displacement assay (IDA). The system crucially relies on multivariate data collection and analysis. In fact, using different phosphates in the dye-displacement assay results in subtle differences in the optical signals; however, it is not possible to capture this information using classical univariate data presentation techniques. Instead, we rely on principal component analysis, a multivariate data analysis technique, to evaluate these differences and thus distinguish between the biologically relevant phosphates. We will also present supporting data reporting on the anion binding capabilities of the PAMAM system acquired using optical spectroscopy methods. Alison Adams, Biological Sciences Faculty Mentor: Laura Reed, Biological Sciences QTL affecting genotype-by-diet interactions of larval triglyceride levels Metabolic Syndrome (MetS) is a complex disease that is becoming increasingly prevalent in the world today. It is identified by an assortment of symptoms such as obesity, insulin resistance, and elevated blood lipids. This disease and its various phenotypes can be modeled in Drosophila melanogaster. In a previous study of MetS, our lab implemented a round-robin crossing scheme on approximately 800 isogenic lines from a recombinant inbred line population, and a linear regression was used to determine genotype, diet, and genotype-by-diet interactions. -
Social Media Evaluation for Non-Profit Organizations
Social media evaluation for non-profit organizations The case of Oxfam Italia Master Thesis Author: Giuseppe Antonio Coco Thesis Supervisor: Jessica Gustafsson Department of Informatics and Media Specialization in Digital Media & Society Uppsala University, Sweden Autumn 2014 Abstract The thesis presents an evaluation of the Facebook page of the Italian non-profit organization Oxfam Italia from November 2013 to March 2014. The research’s aim is to analyze the community which follows the organization, how this community interacts with it and how the moderators of the page communicate with its followers. The research aims also to find ways to increase Oxfam Italia’s performance on Facebook. The theoretical framework focuses on non-profit marketing and its peculiarities, Social Media Marketing and notions such as engagement and brand community. The methods used in the research consist in data mining and content analysis. Data have been gathered from Facebook Insights and through the issuing of FQL queries from the Facebook Graph API. The research found out that Oxfam has more female followers than male (62% vs 36,5%), the age range of them is 25-44 years. Oxfam’s presence, in particular, is very rooted in the region of Tuscany (where its headquarter is). Facebook followers showed a very good attitude toward the organization, even though criticisms are common, and Oxfam used its social media presence mainly to update the followers concerning ongoing activities and to urge to on-line activism. The users’ favourite engagement method was “liking” photographic contents. Keywords Social media evaluation – Non-profits organizations – Non-profits marketing – Facebook – Oxfam Italia – Facebook Graph API – Facebook Insights – content analysis II Table of Contents Abstract .............................................................................................................................. -
Developing Facebook Applications by M.ALI and Amir Latif
Developing Facebook Applications By M.ALI and Aamir Latif Application Development Objective • A very basic introduction to developing applications with Facebook using PHP. • Keep it simple. • Goal is learning. • Level:Basic Application Development Agenda • Presentation [M.ALI] 20 mins • Demonstration [Amir Latif] 15 mins • Question/Answer 10 mins Application Development What is Facebook? • Facebook is a web application that provides a kind of social networking with people near you. • Facebook was founded by Mark Zuckerberg in 2004. • Originally designed to connect different colleges and universities. • Facebook name has origin in magazine that was distributed to new students Application Development Facebook facts • World largest social network with over 350 million users. • An average teen spends about 20 mins daily. • More than 65 million active users at a time. • Consists of more than 500,000 active applications. • 6.5 millions users access FB from mobile • More facts on http://www.facebook.com/press/info.php?statist ics Application Development Facebook application • Developing facebook application mean it is accessible from FB. • Application is exposed to millions of users worldwide. • There is a chance for the application to become a popular one in FB. • Applications can be social applications like super wall,games like crazy taxi and quizzes. Application Development Facebook Applications Some Popular Facebook applications Application Development Farm Ville Application Development Facebook Platform • Facebook platform is a framework for developers to interact with the core features of the facebook site. • Anyone can developed an application in Facebook by pointing their URL to developers.facebook.com • The idea was to enable everyone to provide content to the facebook site. -
Università Degli Studi Di Bergamo Moogle: a Web Crawler and Full-Text Search Application for Distributed Private Data
UNIVERSITÀ DEGLI STUDI DI BERGAMO Dipartimento di Ingegneria Corso di Laurea Specialistica in Ingegneria Informatica Classe n. 35/S - Classe delle lauree specialistiche in ingegneria dell’informazione MOOGLE: A WEB CRAWLER AND FULL-TEXT SEARCH APPLICATION FOR DISTRIBUTED PRIVATE DATA Relatore: Chiar.mo Prof. Stefano Paraboschi Tesi di Laurea Specialistica Paolo COFFETTI Matricola n. 42519 ANNO ACCADEMICO 2013/2014 Abstract You want to search for that sushi restaurant someone recommended you last month but you don't remember its name: you type "sushi restaurant" in your laptop and you get an old tweet from a friend talking about Tokyo Sushi. You also get a comment you wrote on Facebook, an SMS message you sent your brother and a bookmark in your browser, all about the same restaurant. And imagine that you can do this with your smart phone, your laptop, tablet or smart TV. Something so basic yet so far from the reality. This is Moogle - My Own Google, the search engine for private data. This thesis describes the work I accomplished in order to design, develop and deploy a first solid version of Moogle following the iterative and incremental software development process outlined by Grady Booch. 1 Acknowledgments First and foremost I'd like to thank my parents and sisters for their patience and the support they provided me during my studies. I also want to express my gratitude to Professor Stefano Paraboschi for his precious guidance. I wish to thank my girlfriend Boyang for her loving support and who, once again, had to deal with those long hours of my absence while working on this project.