The Authority Report

Total Page:16

File Type:pdf, Size:1020Kb

The Authority Report Understanding internet attention in Parse.ly’s network of publishers REPORT PERIOD APRIL & MAY 2018 Traic sources Online content Topics THESocial networks AUTHORITY REPORT Facebook Twitter 2018Search Engines traffic sources by content categories and topics: Google Referral trendBing benchmarks for Facebook, Google, and others for 23 categories Editorial promotion Lastsite year, home we pagesanalyzed referral traffic data from 2016 to understand So for this report, we wanted to examine what the audiences of site section pages how people discover articles by topic. We reported on where 2018 care about: where do they find stories to read or watch, and audiencesOther camesources from for 12 different topics. Among our findings: what has changed in the two years since we last looked at this data? 60% of readersFlipboard found technology articles through Google search, We turned to Parse.ly’s network data to get up-to-date on the major while 87%Google of audiences News found lifestyle content on Facebook. But referrers for articles by category and the topics that resonate most nothing stays static in digital media. with readers on those platforms. Direct trac Email At Instantthe beginning messaging of 2018, Facebook’s algorithm changed. Even The data analyzed in this report includes 8 billion page views for before the official announcement, a reversal in overall referral 1 million articles across our network of thousands of sites from How someone found a piece of Topics are automatically detected in Internet-wide trends and insights into traffic occurred, as Google overtook Facebook as the top external April and May 2018. We used natural language processing to classify content. The originating site that content. Topics can be people, individual topics. A visit to a post can be broughtreferrer ato person media tosites. a post. From February to October 2017,companies, referral places, events,our and network’s things. content intoassociated standardized with multiplecategories topics and relevantbecause traffic volume from Facebook decreased by 25% while Google topics. Individual articlescontent in this typically study can discusses be associated multiple with topics. more traffic, with the help of AMP, took off. than one category and contain several topics. See the diagram below for more detail. Tech article Social networks Facebook Politics Twitter Search Engines Bus./Tech article Google Business Bing Editorial promotion site home pages Business article Tech site section pages Other sources Topic Flipboard Politics article Topic Google News Topic Direct trac Topic Email Instant messaging Traic sources Online content Categories & topics How someone found online Natural language processing is used to Analysis of traic at the category and content. The originating site that classify content into IAB categories and topic-level allow publishers to understand brought a person to a post. detect relevant topics. Topics can be people, what people are interested in and how companies, places, things, events, or ideas. they are finding that content. VISITVISIT US US SEESEE PAST PAST REPORTS REPORTS AND AND SUBSCRIBE SUBSCRIBE FOR TO FUTURE RELEASES WWW.PARSE.LYWWW.PARSE.LY WWW.PARSE.LY/AUTHORITYWWW.PARSE.LY/AUTHORITY Article categories ranked by largest REPORT PERIOD APRIL & MAY 2018 Google search percentages Facebook other external sources Google search Technology & Computing 16% 21% 63% While the referral trends shifted away from Facebook and Home & Garden toward Google, this didn’t change much in terms of bringing a 15% 28% 57% major third-party player into the forefront (though the verdict Personal Finance is still out on Apple News). The combined referrals from 26% 22% 52% external traffic sources other than Google search and Sports Facebook increased roughly 3% from 2017 to 2018.1 So, 26% 23% 51% content creators looking to scale their audience still rely on Business Google and Facebook. 23% 27% 50% Careers 24% 30% 45% Arts & Entertainment Google search: reviews and how-tos 34% 21% 45% Science Even a quick glance at the list of categories matches aggregate 31% 25% 45% trends from the overall decline in Facebook traffic. Visitors Hobbies & Interests primarily accessed articles in the majority of the categories 34% 22% 44% analyzed over this time period through Google search. 14 of Automotive the 23 categories we analyzed had over 40% of their external 34% 22% 44% traffic come from Google search. Topics that covered reviews Pets 35% 22% 43% (Technology, Automotive, Arts & Entertainment) or how-tos News (Personal Finance, Home & Garden, Hobbies & Interests) made 26% 35% 40% the top of the list. Religion & Spirituality 34% 26% 39% Education 41% 24% 35% Facebook: lifestyle content Law, Gov’t & Politics Parse.ly’s past analysis of 2016 data found that the majority of 37% 30% 33% readers accessed lifestyle content through Facebook. Real Estate 44% 24% 32% Facebook remains the primary referral traffic source for lifestyle content today. In fact, of all the categories with a Lifestyle categories Family & Parenting higher percentage of Facebook traffic, only three (Education, 70% 10% 20% Law, Gov’t & Politics, and Real Estate) were not within the Food & Drink lifestyle group. Taking a closer look at the lifestyle categories, 36% 15% 49% Facebook dominated all but two (Food & Drink and Health & Health & Fitness Fitness) of the seven categories. We explore lifestyle content 40% 20% 40% more on the next page. Shopping 50% 15% 34% Society 54% 27% 19% Style & Fashion 1. See the “Top referrers in the Parse.ly network” chart on 59% 19% 22% page 9, or visit www.parse.ly/referrer-dashboard to see Travel referral changes over time. 43% 23% 34% VISIT US SEE PAST REPORTS AND SUBSCRIBE TO FUTURE RELEASES WWW.PARSE.LY WWW.PARSE.LY/AUTHORITY REPORT PERIOD APRIL & MAY 2018 Facebook still strong for The distributed content wars: lifestyle content Google AMP has won External traic sources for all content The general “News” category offers a prime example of how in lifestyle categories Google is winning the distributed content wars. Most readers accessed News through Google search, with AMP driving 27% of Facebook other Google search the traffic—a higher AMP percentage than any other category. 45% 18% 37% News also had the most traffic from other sources (35%) of all categories, including Google News and other Google sources. number of page views to Trends in mobile growth and developments in Google’s platform lifestyle categories articles in each category may have helped drive its growth as a referrer. Style & Fashion 778M Food & Drink 743M Apple News could also show up as a significant contender 629M Health & Fitness alongside AMP and Facebook Instant Articles if it were integrated Travel 181M with Parse.ly publishers and sharing data about engagement. Society 115M Family & Parenting 105M Distribution channel traic by content category Shopping 80M channel’s percentage of views for content in each category AMP Facebook Instant Articles There was a range of traffic from Facebook to lifestyle content on Law, Gov’t & Politics 20% 11% an individual category level. The Family & Parenting category had Style & Fashion 8% 3% the most Facebook traffic (70%) and the least other traffic (10%) Food & Drink 8% 2% than any other category. On the other side of the spectrum, Health Business 20% 5% Health & Fitness 18% 8% & Fitness was more balanced, with equal traffic from Facebook Tech. & Computing 18% 3% and Google Search. Arts & Entmt. 16% 5% Sports 25% 11% Additionally, looking at the combined traffic for all articles Science 16% 6% categorized by one of the lifestyle categories underscores the Travel 15% 7% outsized role Facebook plays. Facebook represents 45% of the News 27% 9% external traffic sources for this lifestyle group and has the highest Automotive 21% 6% percentage of Facebook traffic when compared to all non-lifestyle Society 8% 4% categories. Family & Parenting 12% 9% Education 14% 9% 6% With their audiences primarily finding content through Facebook, Personal Finance 18% Shopping 16% 12% brands and publishers operating in the lifestyle verticals have food Religion & Spirit. 19% 10% for thought. Do creators of lifestyle content have nothing to worry Pets 15% 6% about other than continuing to serve quality content to their Hobbies & Interests 12% 2% audience on Facebook? Or, given the fickleness of Facebook, Real Estate 15% 9% should they reevaluate the depth of their reliance on the platform Home & Garden 9% 1% and see if there are ways to diversify traffic sources even more? Careers 21% 5% VISIT US SEE PAST REPORTS AND SUBSCRIBE TO FUTURE RELEASES WWW.PARSE.LY WWW.PARSE.LY/AUTHORITY REPORT PERIOD APRIL & MAY 2018 Flipboard referrals by category Twitter referrals by category Pinterest referrals by category of category of category of category News 3.7% News 5.2% Home & Garden 13.4% 5.4M referrals 7.6M referrals 2.3M referrals Science 3.5% Careers 5.0% Hobbies & Interests 4.8% 12.3M 0.5M 1.6M Law, Gov’t & Politics 3.2% Law, Gov’t & Politics 4.7% Food & Drink 4.5% 34.5M 50.8M 28.2M Careers 3.2% Religion & Spirituality 4.5% Style & Fashion 2.1% 0.3M 2.5M 14.1M Business 2.9% Education 4.4% Arts & Entertainment 2.0% 16.3M 3.7M 8.9M Health & Fitness 2.7% Sports 4.0% Society 1.6% 14.5M 17.6M 1.6M Looking beyond Facebook and Google search referrals non-search Google News referrals by category of category So what about that “other” traffic? We took a look at major referrers outside of Google News 4.7% 6.9M referrals search and Facebook to see which kinds of content resonate with readers there. If you write about one of these categories or manage a site or section dedicated to one, Law, Gov’t & Politics 3.7% 39.4M looking beyond Facebook and Google search referrals could be even more important Automotive 3.0% than zeroing in on aggregate trends.
Recommended publications
  • The Tea Party and the Muslim Brotherhood: Who They Are and How American News Media Gets It Wrong
    Jeremy Abrams The Tea Party and the Muslim Brotherhood: Who they are and How American News Media Gets it Wrong Jeremy Abrams 1 Table of Content I. Introduction ........................................................................................................................................................ 2 II. Defining Political Parties and their Role in Democracies ................................................................. 2 A. Generally ......................................................................................................................................................... 2 B. Structurally .................................................................................................................................................... 3 C. How the Tea Party and the Muslim Brotherhood Fit the Mold ................................................. 4 III. Brief Descriptions of the Tea Party and the Muslim Brotherhood ............................................. 4 A. The Tea Party ................................................................................................................................................ 5 1. History ......................................................................................................................................................... 5 2. The System in Which it Operates ..................................................................................................... 9 3. Official Status ........................................................................................................................................
    [Show full text]
  • Who Supports Donald J. Trump?: a Narrative- Based Analysis of His Supporters and of the Candidate Himself Mitchell A
    University of Puget Sound Sound Ideas Summer Research Summer 2016 Who Supports Donald J. Trump?: A narrative- based analysis of his supporters and of the candidate himself Mitchell A. Carlson 7886304 University of Puget Sound, [email protected] Follow this and additional works at: http://soundideas.pugetsound.edu/summer_research Part of the American Politics Commons, and the Political Theory Commons Recommended Citation Carlson, Mitchell A. 7886304, "Who Supports Donald J. Trump?: A narrative-based analysis of his supporters and of the candidate himself" (2016). Summer Research. Paper 271. http://soundideas.pugetsound.edu/summer_research/271 This Article is brought to you for free and open access by Sound Ideas. It has been accepted for inclusion in Summer Research by an authorized administrator of Sound Ideas. For more information, please contact [email protected]. 1 Mitchell Carlson Professor Robin Dale Jacobson 8/24/16 Who Supports Donald J. Trump? A narrative-based analysis of his supporters and of the candidate himself Introduction: The Voice of the People? “My opponent asks her supporters to recite a three-word loyalty pledge. It reads: “I’m With Her.” I choose to recite a different pledge. My pledge reads: ‘I’m with you—the American people.’ I am your voice.” So said Donald J. Trump, Republican presidential nominee and billionaire real estate mogul, in his speech echoing Richard Nixon’s own convention speech centered on law-and-order in 1968.1 2 Introduced by his daughter Ivanka, Trump claimed at the Republican National Convention in Cleveland, Ohio that he—and he alone—is the voice of the people.
    [Show full text]
  • 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.
    [Show full text]
  • CONSERVATIVES SHOULD SUPPORT the FOLLOWING COMPANIES and PERSONALITIES: ABC Supply: CEO Raised Money for Trump Presidential Campaign
    Consum5.doc. 11-20. NEBRASKA TAXPAYERS FOR FREEDOM WORKSHEET: PART 2: CONSERVATIVES SHOULD SUPPORT THE FOLLOWING COMPANIES AND PERSONALITIES: ABC Supply: CEO raised money for Trump presidential campaign. Ace Hardware: supports conservative causes. Reversed its decision to withdraw ads from the Laura Ingraham TV Show. ADT: advertises on Sean Hannity Show, subject to liberal boycott. Advance Auto Parts: supports conservative causes. Alaska Airlines: supports conservative religious causes. Amazon Fashion: boycotted by liberals. American Greetings Corporation: supports conservative causes. Amway: 100% of its contributions go to Republicans and conservatives. Leftists boycott this company. Amy Grant: conservative celebrity. Angel Soft: contributes to NRA and pro-life groups. Applebees: opposes Obama Care mandates. Axon: the technology company that supplies police with nonlethal weapons, such as tasers, defends its continued production of weapons. B.F. Goodrich (tires): 97% of its contributions go to Republicans and conservatives. Badger Sportswear: cut ties in Red China after discovering that a company with which it was affiliated there uses workers from a concentration camp for targeted members of ethnic minority groups persecuted by the government. Barron's Magazine: conservative. Bass Pro Shop: supports the NRA and 2nd Amendment rights. Bayer Company: supports conservative causes. Billy Ray Cyrus: conservative celebrity. Black Rifle Coffee: conservative company. Blaze TV: conservative media outlet. Bloomingdale's: carries Ivanka Trump clothes, shoes, and accessories. Blue Bell Creameries: conservative company. Bo Derek: conservative celebrity. Bob Evans Farms: conservative company. Bon-ton: boycotted by liberals. Brawny Paper Towels: leftists boycott this company, so buy these towels. Contributes to NRA and pro-life groups. Breitbart News: conservative news outlet.
    [Show full text]
  • The Tea Party: a Party Within a Party a Dissertation Submitted to The
    The Tea Party: A Party Within a Party A Dissertation submitted to the Faculty of the Graduate School of Arts and Sciences of Georgetown University in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Government By Rachel Marie Blum, M.A. Washington, DC March 22, 2016 Copyright c 2016 by Rachel Marie Blum All Rights Reserved ii The Tea Party: A Party Within a Party Rachel Marie Blum, M.A. Dissertation Advisor: Hans Noel, Ph.D. Abstract It is little surprise that conservatives were politically disaffected in early 2009, or that highly conservative individuals mobilized as a political movement to protest ‘big government’ and Obama’s election. Rather than merely directing its animus against liberals, the Tea Party mobilized against the Republican Party in primaries and beyond. This dissertation draws from original survey, interview, Tea Party blog, and social network datasets to explain the Tea Party’s strategy for mobilization as a ‘Party within a Party’. Integrating new data on the Tea Party with existing theories of political parties, I show that the Tea Party’s strategy transcends the focused aims of a party faction. Instead, it works to co-opt the Republican Party’s political and electoral machinery in order to gain control of the party. This dissertation offers new insights on the Tea Party while developing a theory of intra-party mobilization that endures beyond the Tea Party. Index words: Dissertations, Government, Political Science, Political Parties, Tea Party iii Dedication To M.L.B., and all others who are stronger than they know.
    [Show full text]
  • Download File
    Tow Center for Digital Journalism CONSERVATIVE A Tow/Knight Report NEWSWORK A Report on the Values and Practices of Online Journalists on the Right Anthony Nadler, A.J. Bauer, and Magda Konieczna Funded by the John S. and James L. Knight Foundation. Table of Contents Executive Summary 3 Introduction 7 Boundaries and Tensions Within the Online Conservative News Field 15 Training, Standards, and Practices 41 Columbia Journalism School Conservative Newswork 3 Executive Summary Through much of the 20th century, the U.S. news diet was dominated by journalism outlets that professed to operate according to principles of objectivity and nonpartisan balance. Today, news outlets that openly proclaim a political perspective — conservative, progressive, centrist, or otherwise — are more central to American life than at any time since the first journalism schools opened their doors. Conservative audiences, in particular, express far less trust in mainstream news media than do their liberal counterparts. These divides have contributed to concerns of a “post-truth” age and fanned fears that members of opposing parties no longer agree on basic facts, let alone how to report and interpret the news of the day in a credible fashion. Renewed popularity and commercial viability of openly partisan media in the United States can be traced back to the rise of conservative talk radio in the late 1980s, but the expansion of partisan news outlets has accelerated most rapidly online. This expansion has coincided with debates within many digital newsrooms. Should the ideals journalists adopted in the 20th century be preserved in a digital news landscape? Or must today’s news workers forge new relationships with their publics and find alternatives to traditional notions of journalistic objectivity, fairness, and balance? Despite the centrality of these questions to digital newsrooms, little research on “innovation in journalism” or the “future of news” has explicitly addressed how digital journalists and editors in partisan news organizations are rethinking norms.
    [Show full text]
  • The 2020 Election 2 Contents
    Covering the Coverage The 2020 Election 2 Contents 4 Foreword 29 Us versus him Kyle Pope Betsy Morais and Alexandria Neason 5 Why did Matt Drudge turn on August 10, 2020 Donald Trump? Bob Norman 37 The campaign begins (again) January 29, 2020 Kyle Pope August 12, 2020 8 One America News was desperate for Trump’s approval. 39 When the pundits paused Here’s how it got it. Simon van Zuylen–Wood Andrew McCormick Summer 2020 May 27, 2020 47 Tuned out 13 The story has gotten away from Adam Piore us Summer 2020 Betsy Morais and Alexandria Neason 57 ‘This is a moment for June 3, 2020 imagination’ Mychal Denzel Smith, Josie Duffy 22 For Facebook, a boycott and a Rice, and Alex Vitale long, drawn-out reckoning Summer 2020 Emily Bell July 9, 2020 61 How to deal with friends who have become obsessed with 24 As election looms, a network conspiracy theories of mysterious ‘pink slime’ local Mathew Ingram news outlets nearly triples in size August 25, 2020 Priyanjana Bengani August 4, 2020 64 The only question in news is ‘Will it rate?’ Ariana Pekary September 2, 2020 3 66 Last night was the logical end 92 The Doociness of America point of debates in America Mark Oppenheimer Jon Allsop October 29, 2020 September 30, 2020 98 How careful local reporting 68 How the media has abetted the undermined Trump’s claims of Republican assault on mail-in voter fraud voting Ian W. Karbal Yochai Benkler November 3, 2020 October 2, 2020 101 Retire the election needles 75 Catching on to Q Gabriel Snyder Sam Thielman November 4, 2020 October 9, 2020 102 What the polls show, and the 78 We won’t know what will happen press missed, again on November 3 until November 3 Kyle Pope Kyle Paoletta November 4, 2020 October 15, 2020 104 How conservative media 80 E.
    [Show full text]
  • Influence of Fake News in Twitter During the 2016 US Presidential
    Influence of fake news in Twitter during the 2016 US presidential election Alexandre Bovet1;2;3, Hern´anA. Makse1;∗ 1) Levich Institute and Physics Department, City College of New York, New York, New York 10031, USA 2) ICTEAM, Universit´eCatholique de Louvain, Avenue George Lema^ıtre 4, 1348 Louvain-la-Neuve, Belgium 3) naXys and Department of Mathematics, Universit´ede Namur, Rempart de la Vierge 8, 5000 Namur, Belgium. * [email protected] Abstract The dynamics and influence of fake news on Twitter during the 2016 US presidential election remains to be clarified. Here, we use a dataset of 171 million tweets in the five months preceding the election day to identify 30 million tweets, from 2.2 million users, which contain a link to news outlets. Based on a classification of news outlets curated by www.opensources.co, we find that 25% of these tweets spread either fake or extremely biased news. We characterize the networks of these users to find the most influential spreaders of fake and traditional news and use causal modelling to uncover how fake news influenced the presidential election. We find that, while top influencers spreading traditional center and left leaning news largely influence the activity of Clinton supporters, this causality is reversed for the fake news: the activity of Trump supporters influences the dynamics of the top fake news spreaders. 1 Introduction Recent social and political events, such as the 2016 US presidential election [1], have been marked by a growing number of so-called \fake news", i.e. fabricated information that disseminate deceptive content, or grossly distort actual news reports, shared on social media platforms.
    [Show full text]
  • Complete Report
    FOR RELEASE OCTOBER 2, 2017 BY Amy Mitchell, Jeffrey Gottfried, Galen Stocking, Katerina Matsa and Elizabeth M. Grieco FOR MEDIA OR OTHER INQUIRIES: Amy Mitchell, Director, Journalism Research Rachel Weisel, Communications Manager 202.419.4372 www.pewresearch.org RECOMMENDED CITATION Pew Research Center, October, 2017, “Covering President Trump in a Polarized Media Environment” 2 PEW RESEARCH CENTER About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping America and the world. It does not take policy positions. The Center conducts public opinion polling, demographic research, content analysis and other data-driven social science research. It studies U.S. politics and policy; journalism and media; internet, science and technology; religion and public life; Hispanic trends; global attitudes and trends; and U.S. social and demographic trends. All of the Center’s reports are available at www.pewresearch.org. Pew Research Center is a subsidiary of The Pew Charitable Trusts, its primary funder. © Pew Research Center 2017 www.pewresearch.org 3 PEW RESEARCH CENTER Table of Contents About Pew Research Center 2 Table of Contents 3 Covering President Trump in a Polarized Media Environment 4 1. Coverage from news outlets with a right-leaning audience cited fewer source types, featured more positive assessments than coverage from other two groups 14 2. Five topics accounted for two-thirds of coverage in first 100 days 25 3. A comparison to early coverage of past
    [Show full text]
  • Media Manipulation and Disinformation Online Alice Marwick and Rebecca Lewis CONTENTS
    Media Manipulation and Disinformation Online Alice Marwick and Rebecca Lewis CONTENTS Executive Summary ....................................................... 1 What Techniques Do Media Manipulators Use? ....... 33 Understanding Media Manipulation ............................ 2 Participatory Culture ........................................... 33 Who is Manipulating the Media? ................................. 4 Networks ............................................................. 34 Internet Trolls ......................................................... 4 Memes ................................................................. 35 Gamergaters .......................................................... 7 Bots ...................................................................... 36 Hate Groups and Ideologues ............................... 9 Strategic Amplification and Framing ................. 38 The Alt-Right ................................................... 9 Why is the Media Vulnerable? .................................... 40 The Manosphere .......................................... 13 Lack of Trust in Media ......................................... 40 Conspiracy Theorists ........................................... 17 Decline of Local News ........................................ 41 Influencers............................................................ 20 The Attention Economy ...................................... 42 Hyper-Partisan News Outlets ............................. 21 What are the Outcomes? ..........................................
    [Show full text]
  • Perucci The+Trump+Is+Present.Pdf
    Performance Research A Journal of the Performing Arts ISSN: 1352-8165 (Print) 1469-9990 (Online) Journal homepage: http://www.tandfonline.com/loi/rprs20 The Trump is Present Tony Perucci To cite this article: Tony Perucci (2017) The Trump is Present, Performance Research, 22:3, 127-135, DOI: 10.1080/13528165.2017.1348607 To link to this article: http://dx.doi.org/10.1080/13528165.2017.1348607 Published online: 21 Sep 2017. Submit your article to this journal View related articles View Crossmark data Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=rprs20 Download by: [Tony Perucci] Date: 21 September 2017, At: 05:37 The Trump is Present TONY PERUCCI 8 NOVEMBER 2016 YouTube even hosted videos that ‘proved’ THE DAY PERFORMANCE ART DIED Trump’s campaign to be ‘the greatest prank in the history of the world’, ‘the work of a gay On the day of the US presidential election, the scandanavian [sic] performance artist’ or ‘Andy daily literary humour website McSweeney’s Kaufman in disguise’, while one post-election Internet Tendency published a transcript of website announced Marina Abramović ‘to be the the ‘concession speech’ that Donald Trump mastermind behind “Donald Trump”, her most would give that night upon his anticipated controversial art project yet’ (‘mastermind’ 2017). loss to Hillary Clinton. The failed presidential The construct ‘performance art’ expressed the candidate would there reveal the secret that his desire of many not to believe in the actuality and election campaign – and even his entire life – resilience of Trump’s campaign, characterized by had actually been a work of performance art.
    [Show full text]
  • Economic Analysis of the Digital Economy
    This PDF is a selection from a published volume from the National Bureau of Economic Research Volume Title: Economic Analysis of the Digital Economy Volume Author/Editor: Avi Goldfarb, Shane M. Greenstein, and Catherine E. Tucker, editors Volume Publisher: University of Chicago Press Volume ISBN: 0-226-20684-X; 978-0-226-20684-4 Volume URL: http://www.nber.org/books/gree13-1 Conference Date: June 6–7, 2013 Publication Date: April 2015 Chapter Title: Ideology and Online News Chapter Author(s): Matthew Gentzkow, Jesse M. Shapiro Chapter URL: http://www.nber.org/chapters/c12993 Chapter pages in book: (p. 169 – 190) 6 Ideology and Online News Matthew Gentzkow and Jesse M. Shapiro 6.1 Introduction The news media are a fundamental democratic institution. Access to the news affects political participation (Gentzkow, Sinkinson, and Shapiro 2011), and the portrayal of the news affects how voters vote (DellaVigna and Kaplan 2007). Digital news is still in its infancy, with digital platforms accounting for only 8 percent of time spent consuming news in the United States (Edmonds 2013). Yet it seems inevitable that this share will climb as new technologies develop and diffuse. If this march of technology will transform the Fourth Estate, it may thereby transform democratic politics. Key to understanding how the rise of digital media will affect politics is understanding how it will affect the breadth and depth of sources from which Americans get their news. These effects are theoretically ambiguous Matthew Gentzkow is the Richard O. Ryan Professor of Economics and Neubauer Family Faculty Fellow at the University of Chicago Booth School of Business and a research associate of the National Bureau of Economic Research.
    [Show full text]