U.S. Media and Perceptions of Disinformation Risk
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(Totally Insane, Unintentionally Gigantic, Hyperpartisan) Political-Media Machine How a Strange New Class of Media Outlet Has Arisen to Take Over Our News Feeds
Inside Facebook’s (Totally Insane, Unintentionally Gigantic, Hy... http://www.nytimes.com/2016/08/28/magazine/inside-facebooks... http://nyti.ms/2bzePnO Inside Facebook’s (Totally Insane, Unintentionally Gigantic, Hyperpartisan) Political-Media Machine How a strange new class of media outlet has arisen to take over our news feeds. By JOHN HERRMAN AUG. 24, 2016 Open your Facebook feed. What do you see? A photo of a close friend’s child. An automatically generated slide show commemorating six years of friendship between two acquaintances. An eerily on-target ad for something you’ve been meaning to buy. A funny video. A sad video. A recently live video. Lots of video; more video than you remember from before. A somewhat less-on-target ad. Someone you saw yesterday feeling blessed. Someone you haven’t seen in 10 years feeling worried. And then: A family member who loves politics asking, “Is this really who we want to be president?” A co-worker, whom you’ve never heard talk about politics, asking the same about a different candidate. A story about Donald Trump that “just can’t be true” in a figurative sense. A story about Donald Trump that “just can’t be true” in a literal sense. A video of Bernie Sanders speaking, overlaid with text, shared from a source you’ve never seen before, viewed 15 million times. An article questioning Hillary Clinton’s honesty; a headline questioning Donald Trump’s sanity. A few shares that go a bit too far: headlines you would never pass along yourself but that you might tap, read and probably not forget. -
What Is Gab? a Bastion of Free Speech Or an Alt-Right Echo Chamber?
What is Gab? A Bastion of Free Speech or an Alt-Right Echo Chamber? Savvas Zannettou Barry Bradlyn Emiliano De Cristofaro Cyprus University of Technology Princeton Center for Theoretical Science University College London [email protected] [email protected] [email protected] Haewoon Kwak Michael Sirivianos Gianluca Stringhini Qatar Computing Research Institute Cyprus University of Technology University College London & Hamad Bin Khalifa University [email protected] [email protected] [email protected] Jeremy Blackburn University of Alabama at Birmingham [email protected] ABSTRACT ACM Reference Format: Over the past few years, a number of new “fringe” communities, Savvas Zannettou, Barry Bradlyn, Emiliano De Cristofaro, Haewoon Kwak, like 4chan or certain subreddits, have gained traction on the Web Michael Sirivianos, Gianluca Stringhini, and Jeremy Blackburn. 2018. What is Gab? A Bastion of Free Speech or an Alt-Right Echo Chamber?. In WWW at a rapid pace. However, more often than not, little is known about ’18 Companion: The 2018 Web Conference Companion, April 23–27, 2018, Lyon, how they evolve or what kind of activities they attract, despite France. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3184558. recent research has shown that they influence how false informa- 3191531 tion reaches mainstream communities. This motivates the need to monitor these communities and analyze their impact on the Web’s information ecosystem. 1 INTRODUCTION In August 2016, a new social network called Gab was created The Web’s information ecosystem is composed of multiple com- as an alternative to Twitter. -
Thomas Jefferson and the Ideology of Democratic Schooling
Thomas Jefferson and the Ideology of Democratic Schooling James Carpenter (Binghamton University) Abstract I challenge the traditional argument that Jefferson’s educational plans for Virginia were built on mod- ern democratic understandings. While containing some democratic features, especially for the founding decades, Jefferson’s concern was narrowly political, designed to ensure the survival of the new republic. The significance of this piece is to add to the more accurate portrayal of Jefferson’s impact on American institutions. Submit your own response to this article Submit online at democracyeducationjournal.org/home Read responses to this article online http://democracyeducationjournal.org/home/vol21/iss2/5 ew historical figures have undergone as much advocate of public education in the early United States” (p. 280). scrutiny in the last two decades as has Thomas Heslep (1969) has suggested that Jefferson provided “a general Jefferson. His relationship with Sally Hemings, his statement on education in republican, or democratic society” views on Native Americans, his expansionist ideology and his (p. 113), without distinguishing between the two. Others have opted suppressionF of individual liberties are just some of the areas of specifically to connect his ideas to being democratic. Williams Jefferson’s life and thinking that historians and others have reexam- (1967) argued that Jefferson’s impact on our schools is pronounced ined (Finkelman, 1995; Gordon- Reed, 1997; Kaplan, 1998). because “democracy and education are interdependent” and But his views on education have been unchallenged. While his therefore with “education being necessary to its [democracy’s] reputation as a founding father of the American republic has been success, a successful democracy must provide it” (p. -
Renowned Violinist Enjoys Shen Yun's Music, Dance, and Production
THEEPOCHTIMES.COM | SHENYUN.COM Shen Yun Performing Arts: The Significant Cultural Event of Our Time SHEN YUN PERFORMING ARTS REVIEWS Renowned Violinist Enjoys Shen Yun’s Music, Dance, and Production April 1, 2019 Andrew Dawes enjoyed Shen Yun at Queen Elizabeth Theatre in Vancouver, Canada, on March 31, 2019. (Mary Man/The Epoch Times) VANCOUVER—Renowned Canadian violinist Andrew Dawes enjoyed the visual and aural components of Shen Yun Performing Arts, which when combined seeks to illustrate the beauty of a thousands year old culture said to be inspired by the heavens. “As a musician, I was very pleased with everything, with music and the dance and the production, it’s great, it’s a wonderful show,” he said. “I think all these musicians are doing an excellent job, really a great pleasure to hear you all.” Dawes is known for being first violinist of the Toronto-based Orford String Quartet for almost three decades. He was also Professor of Music at the University of Toronto and is Professor Emeritus at the University of British Columbia School of Music. The musician has also acted as a juror in several music competitions including the London International String Quartet competition, the Coleman Chamber Music Competition, and the Fischoff National Chamber Music Competition. He attended the performance of Shen Yun at the Queen Elizabeth Theatre in Vancouver, Canada, on March 31. Shen Yun was founded in New York in 2006 with a goal of reviving traditional Chinese culture through the arts. Since then, the company has expanded from one to six contingents that tour the world each year to showcase the wonders of an ancient civilization to modern audiences. -
Online Media and the 2016 US Presidential Election
Partisanship, Propaganda, and Disinformation: Online Media and the 2016 U.S. Presidential Election The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Faris, Robert M., Hal Roberts, Bruce Etling, Nikki Bourassa, Ethan Zuckerman, and Yochai Benkler. 2017. Partisanship, Propaganda, and Disinformation: Online Media and the 2016 U.S. Presidential Election. Berkman Klein Center for Internet & Society Research Paper. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:33759251 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA AUGUST 2017 PARTISANSHIP, Robert Faris Hal Roberts PROPAGANDA, & Bruce Etling Nikki Bourassa DISINFORMATION Ethan Zuckerman Yochai Benkler Online Media & the 2016 U.S. Presidential Election ACKNOWLEDGMENTS This paper is the result of months of effort and has only come to be as a result of the generous input of many people from the Berkman Klein Center and beyond. Jonas Kaiser and Paola Villarreal expanded our thinking around methods and interpretation. Brendan Roach provided excellent research assistance. Rebekah Heacock Jones helped get this research off the ground, and Justin Clark helped bring it home. We are grateful to Gretchen Weber, David Talbot, and Daniel Dennis Jones for their assistance in the production and publication of this study. This paper has also benefited from contributions of many outside the Berkman Klein community. The entire Media Cloud team at the Center for Civic Media at MIT’s Media Lab has been essential to this research. -
Final February Mass. Gop Likely Voters
SUPRC Likely Republican Voters FINAL FEBRUARY MASS. GOP LIKELY VOTERS GeoCode (N=500) n % Worcester / West ------------------------------------------------ 105 21.00 Northeastern ----------------------------------------------------- 192 38.40 Suffolk --------------------------------------------------------------- 25 5.00 Se Mass / Cape ------------------------------------------------- 178 35.60 *********************************************************************************************************** *Hello, my name is __________ and I am conducting a survey for Suffolk University and I would like to get your opinions on some issues of the day in Massachusetts. Would you be willing to spend less than five minutes answering some questions so that we can include your opinions? {IF YES PROCEED; IF NO, UNDECIDED, GO TO CLOSE} 1. Gender {BY OBSERVATION} (N=500) n % Male ---------------------------------------------------------------- 246 49.20 Female ------------------------------------------------------------ 254 50.80 2. What is your age category? (N=500) n % 18-35 Yrs. --------------------------------------------------------- 102 20.40 36-45 Yrs. ----------------------------------------------------------- 96 19.20 46-55 Yrs. --------------------------------------------------------- 101 20.20 56-65 Yrs. ----------------------------------------------------------- 92 18.40 66-75 Yrs. ----------------------------------------------------------- 51 10.20 Over 75 Yrs. -------------------------------------------------------- 44 8.80 Refused ------------------------------------------------------------- -
Coronavirus News and Information on Youtube: a Content Analysis of Popular Search Terms
Coronavirus News and Information on YouTube: A Content Analysis of Popular Search Terms Online Supplement Nahema Marchal, Hubert Au, Philip N. Howard Data and Method In this memo, we investigate the type of information users come across when searching for information about the coronavirus on YouTube. We first collected a list of the 10 most frequent YouTube search terms related to the “coronavirus” UK over the last 90 days, using Google Trends on March 10th, 2020. For comparison, we also collected the auto-complete YouTube search suggestions for the term “coronavirus”, using a Google Chrome browser in Incognito Mode. Table 1. Top YouTube Searches related to the term “coronavirus” Top YouTube Searches related to the term “coronavirus” UK coronavirus china; uk coronavirus; coronavirus news; coronavirus (top 10) live; coronavirus in uk; coronavirus conspiracy; simpsons coronavirus; corona virus; coronavirus wuhan; coronavirus symptoms Note: Compiled based on Google Trends results collected 10/03/2020 Figure 1. Search predictions on YouTube GB in “Incognito Mode” We carried out the searches by running our list of 4 coronavirus-related search terms through YouTube Data Tools (YTDT)’s Video List function, a tool that directly interacts with the YouTube v3.4 API. This generated a list of the top 50 video results associated with each search term, ranked by relevance (based on YouTube API documentation). We then examined the most “related” or “recommended videos” for these search queries. This returned a network graph where each edge denoted a -
The Tea Party Movement As a Modern Incarnation of Nativism in the United States and Its Role in American Electoral Politics, 2009-2014
City University of New York (CUNY) CUNY Academic Works All Dissertations, Theses, and Capstone Projects Dissertations, Theses, and Capstone Projects 10-2014 The Tea Party Movement as a Modern Incarnation of Nativism in the United States and Its Role in American Electoral Politics, 2009-2014 Albert Choi Graduate Center, City University of New York How does access to this work benefit ou?y Let us know! More information about this work at: https://academicworks.cuny.edu/gc_etds/343 Discover additional works at: https://academicworks.cuny.edu This work is made publicly available by the City University of New York (CUNY). Contact: [email protected] The Tea Party Movement as a Modern Incarnation of Nativism in the United States and Its Role in American Electoral Politics, 2009-2014 by Albert Choi A master’s thesis submitted to the Graduate Faculty in Political Science in partial fulfillment of the requirements for the degree of Master of Arts, The City University of New York 2014 i Copyright © 2014 by Albert Choi All rights reserved. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the publisher, except in the case of brief quotations embodied in critical reviews and certain other noncommercial uses permitted by copyright law. ii This manuscript has been read and accepted for the Graduate Faculty in Political Science in satisfaction of the dissertation requirement for the degree of Master of Arts. THE City University of New York iii Abstract The Tea Party Movement as a Modern Incarnation of Nativism in the United States and Its Role in American Electoral Politics, 2009-2014 by Albert Choi Advisor: Professor Frances Piven The Tea Party movement has been a keyword in American politics since its inception in 2009. -
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Proceedings of the Thirteenth International AAAI Conference on Web and Social Media (ICWSM 2019) Different Spirals of Sameness: A Study of Content Sharing in Mainstream and Alternative Media Benjamin D. Horne,* Jeppe Nørregaard,y Sibel Adalı* Rensselaer Polytechnic Institute*, Technical University of Denmarky [email protected], [email protected], [email protected] Abstract Vos, and Shoemaker 2009; Allcott and Gentzkow 2017; Mele et al. 2017). Thus, we may have a more diverse set of In this paper, we analyze content sharing between news news to read than in years past, but the standards of quality sources in the alternative and mainstream media using a dataset of 713K articles and 194 sources. We find that content have wavered, creating a new set of concerns. sharing happens in tightly formed communities, and these This rise in low-quality and potentially malicious news communities represent relatively homogeneous portions of producers has been the focus of many recent studies such the media landscape. Through a mix-method analysis, we as those focusing on detecting false content (Potthast et al. find several primary content sharing behaviors. First, we find 2017; Popat et al. 2016; Singhania, Fernandez, and Rao that the vast majority of shared articles are only shared with 2017; Horne et al. 2018; Baly et al. 2018). Some other stud- similar news sources (i.e. same community). Second, we find ies have focused on the tactics used to spread low-quality that despite these echo-chambers of sharing, specific sources, news, such as the use of social bots (Shao et al. 2017) such as The Drudge Report, mix content from both main- stream and conspiracy communities. -
Clinton Lead Now 6% in Michigan (Clinton 48% - Trump 42% - Johnson 4.5% - Stein 2%)
P R E S S R E L E A S E FOR RELEASE: October 26, 2016 Contact: Steve Mitchell 248-891-2414 Clinton Lead Now 6% in Michigan (Clinton 48% - Trump 42% - Johnson 4.5% - Stein 2%) EAST LANSING, Michigan --- With thirteen days remaining before the election, the latest Fox 2 Detroit/Mitchell Poll of Michigan shows the race tightening further with Secretary of State Hillary Clinton leading businessman Donald Trump by a 6 percent margin in a in a four-way race that includes Libertarian Party candidate former New Mexico Gov. Gary Johnson and Green Party candidate Dr. Jill Stein. In the four-way race it is Clinton 48% - Trump 42% - Johnson 4.5% - Stein 1%, and 5% undecided. In a two-way race it is Clinton 50% - Trump 44% with 6% undecided. In the last FOX 2 Detroit/Mitchell Poll conducted Sunday night, Clinton’s lead was 8% and she led by 13% on October 18th, the night before the last debate. The IVR (automated) poll of 1,030 likely voters in the November 2016 General Election was conducted by Mitchell Research & Communications on October 25, 2016 and has a Margin of Error of + or – 2.78% at the 95% level of confidence. “The race inched closer last night with Clinton losing a point and Trump gaining a point. Gary Johnson and Jill Stein are doing a little bit better than they were doing on Sunday. However, Clinton still has a strong lead with absentee voters who have already cast a ballot. Clinton is still in a strong position, but her support has eroded in the past week,” Steve Mitchell, CEO of Mitchell Research & Communications said. -
Analysis of Election Fraud in the 2020 US Election
2020 Analysis of Election Fraud in the 2020 US Election Insights from pressrelations GmbH Analysis period: 08/01/2016 –11/14/2020 2020 REPORTING OVER TIME The Subject of Election Fraud in US Media In 2016, Trump prepares the ground for his current accusations of election fraud by fraud - especially in the last few days. Starting on Election Day, reporting on the topic speaking of "illegal" votes for the first time. This narrative will be carried over one-to- was initially quite hesitant. The topic was mainly picked up by untrustworthy media one to the mail-in ballots in 2020. The narrative that Democrats wanted to "steal" the outlets. Reliable outlets picked up the topic after November 12th, right after Trump's election comes as a consequence of their call for absentee voting due to the tweet about the "deleted votes". coronavirus pandemic. The various allegations related to the technology for voting and counting votes used by Dominion Voting Systems make up a large part of the discussion about election Coverage on the topic of election fraud by number of contributions: August 2016 - November 2020 6.000 US Election 2020: Trump claims the election was stolen by fraud 5.000 Midterms 2018: Trump 4.000 accuses Democratic Party of US Elections 2016: manipulation of ballots by Trump: "Election could be millions of illegal third parties postponed to prevent mail-in 3.000 immigrants vote, election fraud". according to Donald Trump: "Hillary Clinton won 2.000 Trump 'popular vote' thanks to 3-5 million illegal votes" 1.000 0 Apr Apr Apr Apr Jan -
Suffolk University/USA TODAY FINAL June 2017
Suffolk University/USA TODAY FINAL June 2017 Region: (N=1,000) n % Northeast ---------------------------------------------------------- 204 20.40 South --------------------------------------------------------------- 338 33.80 Midwest ------------------------------------------------------------ 235 23.50 West ---------------------------------------------------------------- 223 22.30 Hello, my name is __________ and I am conducting a survey for Suffolk University/USA Today and I would like to get your opinions on some issues of the day. Would you like to spend seven minutes to help us out? {ASK FOR YOUNGEST IN HOUSEHOLD} 1 Gender (N=1,000) n % Male ---------------------------------------------------------------- 477 47.70 Female ------------------------------------------------------------- 523 52.30 2. Are you currently a registered voter? (N=1,000) n % Yes--------------------------------------------------------------- 1,000 100.00 3. Do you think of yourself as a Democrat, Republican, or Independent? {IF INDEPENDENT, “Which party would you lean toward/feel closest to”} (N=1,000) n % Democrat ---------------------------------------------------------- 361 36.10 Republican -------------------------------------------------------- 300 30.00 Independent ------------------------------------------------------ 274 27.40 Other ---------------------------------------------------------------- 47 4.70 Refused ------------------------------------------------------------- 18 1.80 4. What is your age category? (N=1,000) n % 18-24 Years ------------------------------------------------------