Facebook's Global Economic Impact
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Amazon.Com E-Tail Customer Fulfillment Networks Pioneer
Customer Fulfillment in the Digital Economy Amazon.com E-tail Customer Fulfillment Networks Pioneer “The logistics of distribution Scorecard are the iceberg below the 1 waterline of online bookselling.” B-web type • Aggregation (e-tail) /Agora —Jeff Bezos, (auctions, Zshops) hybrid model founder and CEO, Amazon.com KEY PARTICIPANTS “Ten years from now, no one Customers • Consumers and business buyers will remember whether Context providers • Amazon.com and online Amazon.com spent an extra merchants (Amazon.com $100,000 upgrading shipping associates, Zshops, auctions) from the West Coast to the East Content providers • Amazon.com and small online merchants (Amazon.com Coast. All that will matter is associates, Zshops, auctions) whether electronic commerce • Suppliers and b-web partners gave people a good or bad (publishers; producers [OEM]; distributors e.g. Ingram Micro, experience.”2 Baker & Taylor Books, and others) —David Risher, senior vice president for Commerce services • Amazon.com and merchants merchandising, Amazon.com participating in auctions and Zshops “This [the Amazon.com • Third party shippers (UPS & USPS) distribution warehouses and Infrastructure providers • Amazon.com Drop shippers such as Ingram CFN] is the fastest expansion of • • Technology providers such as distribution capacity in Oracle, Net Perceptions, and i2 peacetime history.”3 Technologies Third party shippers (UPS, USPS) —Jeff Bezos, • founder and CEO, Amazon.com Offering • The largest online e-tailer of books, music, videos, toys, and gifts • Recently expanded service offering to include auctions (March 1999) and Zshops (September 1999)—an aggregation of merchants on its Web site • Aspires to become a one-stop shop for merchandise on the Web CFN value proposition • “Earth’s largest selection” of merchandise at competitive prices, 360 Adelaide Street W, 4th Floor a validated product assortment, Toronto, Ontario. -
How Should We Measure the Digital Economy? 2
Hutchins Center Working Paper #5 7 January 2020 How Should We Measure the Digital Economy? Erik Brynjolfsson MIT Initiative on the Digital Economy MIT Sloan School of Management Avinash Collis MIT Initiative on the Digital Economy MIT Sloan School of Management A BSTRACT Over the past 40 years, we’ve seen an explosion of digital goods and services: Google, Facebook, LinkedIn, Skype, Wikipedia, online courses, maps, messaging, music, and all the other apps on your smartphone. Because many internet services are free, they largely go uncounted in official measures of economic activity such as GDP and Productivity (which is simply GDP/hours worked). If we want to understand how the internet is contributing to our economy, we need better ways to measure free services like Facebook, Google and Wikipedia. We developed techniques with Felix Eggers of University of Groningen that allow us to estimate the internet’s contribution to the economy. Our research suggests that there has been a substantial increase in well-being that is missed by traditional metrics like GDP, or productivity. The authors did not receive financial support from any firm or person for this article or from any firm or person with a financial or political interest in this article. Neither is currently an officer, director, or board member of any organization with an interest in this article. ________________________________________________________________________ THIS PAPER IS ONLINE AT https://www.brookings.edu/research/how- should-we-measure-the-digital-economy 1. Introduction How much would we have to pay you to give up Google search for one month? $10? $100? $1,000? How about Wikipedia? Perhaps you don’t use Google or Wikipedia at all, and so your reply is $0. -
Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook
University of Pennsylvania ScholarlyCommons Marketing Papers Wharton Faculty Research 1-2018 Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook Dokyun Lee Kartik Hosanagar University of Pennsylvania Harikesh Nair Follow this and additional works at: https://repository.upenn.edu/marketing_papers Part of the Advertising and Promotion Management Commons, Business Administration, Management, and Operations Commons, Business Analytics Commons, Business and Corporate Communications Commons, Communication Technology and New Media Commons, Marketing Commons, Mass Communication Commons, Social Media Commons, and the Technology and Innovation Commons Recommended Citation Lee, D., Hosanagar, K., & Nair, H. (2018). Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook. Management Science, http://dx.doi.org/10.1287/mnsc.2017.2902 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/marketing_papers/339 For more information, please contact [email protected]. Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook Abstract We describe the effect of social media advertising content on customer engagement using data from Facebook. We content-code 106,316 Facebook messages across 782 companies, using a combination of Amazon Mechanical Turk and natural language processing algorithms. We use this data set to study the association of various kinds of social media marketing content with user engagement—defined as Likes, comments, shares, and click-throughs—with the messages. We find that inclusion of widely used content related to brand personality—like humor and emotion—is associated with higher levels of consumer engagement (Likes, comments, shares) with a message. We find that directly informative content—like mentions of price and deals—is associated with lower levels of engagement when included in messages in isolation, but higher engagement levels when provided in combination with brand personality–related attributes. -
The New Digital Economy and Development
UNCTAD UNITED NATIONS CONFERENCE ON TRADE AND DEVELOPMENT THE «NEW» DIGITAL ECONOMY AND DEVELOPMENT UNCTAD Technical Notes on ICT for Development N˚8 UNITED NATIONS UNCTAD, DIVISION ON TECHNOLOGY AND LOGISTICS SCIENCE , TECHNOLOGY AND ICT BRANCH ICT POLICY SECTION TECHNICAL NOTE NO8 UNEDITED TN/UNCTAD/ICT4D/08 OCTOBER 2017 The ‘New’ Digital Economy and Development 1 Abstract : This technical note frames the ‘New’ Digital Economy (NDE) as including, most prominently: 1) advanced manufacturing, robotics and factory automation, 2) new sources of data from mobile and ubiquitous Internet connectivity, 3) cloud computing, 4) big data analytics, and 5) artificial intelligence. The main driver of the NDE is the continued exponential improvement in the cost-performance of information and communications technology (ICT), mainly microelectronics, following Moore’s Law. This is not new. The digitization of design, advanced manufacturing, robotics, communications, and distributed computer networking (e.g. the Internet) have been altering innovation processes, the content of tasks, and the possibilities for the relocation of work for decades. However, three features of the NDE are relatively novel. First, new sources of data, from smart phones to factory sensors, are sending vast quantities of data into the “cloud,” where they can be analysed to generate new insights, products, and services. Second, new business models based on technology and product platforms — platform innovation, platform ownership, and platform complimenting — are significantly altering the organization of industries and the terms of competition in a range of leading-edge industries and product categories. Third, the performance of ICT hardware and software has advanced to the point where artificial intelligence and machine learning applications are proliferating. -
CDC Social Media Guidelines: Facebook Requirements and Best Practices
Social Media Guidelines and Best Practices Facebook Purpose This document is designed to provide guidance to Centers for Disease Control and Prevention employees and contractors on the process for planning and development, as well as best practices for participating and engaging, on the social networking site Facebook. Background Facebook is a social networking service launched in February 2004. As of March 2012, Facebook has more than 901 million active users, who generate an average of 3.2 billion Likes and Comments per day. For additional information on Facebook, visit http://newsroom.fb.com/. The first CDC Facebook page, managed by the Office of the Associate Director for Communication Science (OADC), Division of News and Electronic Media (DNEM), Electronic Media Branch (EMB), was launched in May 2009 to share featured health and safety updates and to build an active and participatory community around the work of the agency. The agency has expanded its Facebook presence beyond the main CDC profile, and now supports multiple Facebook profiles connecting users with information on a range of CDC health and safety topics. Communications Strategy Facebook, as with other social media tools, is intended to be part of a larger integrated health communications strategy or campaign developed under the leadership of the Associate Director of Communication Science (ADCS) in the Health Communication Science Office (HCSO) of CDC’s National Centers, Institutes, and Offices (CIOs). Clearance and Approval 1. New Accounts: As per the CDC Enterprise Social Media policy (link not available outside CDC network): • All new Facebook accounts must be cleared by the program’s HCSO office. -
Narcissism and Social Media Use: a Meta-Analytic Review
Psychology of Popular Media Culture © 2016 American Psychological Association 2018, Vol. 7, No. 3, 308–327 2160-4134/18/$12.00 http://dx.doi.org/10.1037/ppm0000137 Narcissism and Social Media Use: A Meta-Analytic Review Jessica L. McCain and W. Keith Campbell University of Georgia The relationship between narcissism and social media use has been a topic of study since the advent of the first social media websites. In the present manuscript, the authors review the literature published to date on the topic and outline 2 potential models to explain the pattern of findings. Data from 62 samples of published and unpublished research (N ϭ 13,430) are meta-analyzed with respect to the relationships between grandiose and vulnerable narcissism and (a) time spent on social media, (b) frequency of status updates/tweets on social media, (c) number of friends/followers on social media, and (d) frequency of posting pictures of self or selfies on social media. Findings suggest that grandiose narcissism is positively related to all 4 indices (rs ϭ .11–.20), although culture and social media platform significantly moderated the results. Vul- nerable narcissism was not significantly related to social media use (rs ϭ .05–.42), although smaller samples make these effects less certain. Limitations of the current literature and recommendations for future research are discussed. Keywords: narcissism, social media, meta-analysis, selfies, Facebook Does narcissism relate to social media use? Or introverted form) narcissism spend more time is the power to selectively present oneself to an on social media than those low in narcissism? online audience appealing to everyone, regardless (b) Do those high in grandiose and vulnerable of their level of narcissism? Social media websites narcissism use the features of social media (i.e., such as Facebook, Twitter, or Instagram can adding friends, status updates, and posting pic- sound like a narcissistic dream. -
A Common Framework for Measuring the Digital Economy
www.oecd.org/going-digital-toolkit www.oecd.org/SDD A ROADMAP TOWARD A COMMON FRAMEWORK @OECDinnovation @OECD_STAT FOR MEASURING THE [email protected] DIGITAL ECONOMY [email protected] Report for the G20 Digital Economy Task Force SAUDI ARABIA, 2020 A roadmap toward a common framework for measuring the Digital Economy This document was prepared by the Organisation for Economic Co-operation and Development (OECD) Directorate for Science, Technology and Innovation (STI) and Statistics and Data Directorate (SDD), as an input for the discussions in the G20 Digital Economy Task Force in 2020, under the auspices of the G20 Saudi Arabia Presidency in 2020. It benefits from input from the European Commission, ITU, ILO, IMF, UNCTAD, and UNSD as well as from DETF participants. The opinions expressed and arguments employed herein do not necessarily represent the official views of the member countries of the OECD or the G20. Acknowledgements: This report was drafted by Louise Hatem, Daniel Ker, and John Mitchell of the OECD, under the direction of Dirk Pilat, Deputy Director for Science, Technology, and Innovation. Contributions were gratefully received from collaborating International Organisations: Antonio Amores, Ales Capek, Magdalena Kaminska, Balazs Zorenyi, and Silvia Viceconte, European Commission; Martin Schaaper and Daniel Vertesy, ITU; Olga Strietska-Ilina, ILO; Marshall Reinsdorf, IMF; Torbjorn Fredriksson, Pilar Fajarnes, and Scarlett Fondeur Gil, UNCTAD; and Ilaria Di Matteo, UNSD. This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. -
The Taking Economy: Uber, Information, and Power
ESSAY THE TAKING ECONOMY: UBER, INFORMATION, AND POWER Ryan Calo∗ & Alex Rosenblat∗∗ Sharing economy firms such as Uber and Airbnb facilitate trusted transactions between strangers on digital platforms. This creates eco- nomic and other value but raises concerns around racial bias, safety, and fairness to competitors and workers that legal scholarship has begun to address. Missing from the literature, however, is a fundamen- tal critique of the sharing economy grounded in asymmetries of infor- mation and power. This Essay, coauthored by a law professor and a technology ethnographer who studies work, labor, and technology, furnishes such a critique and proposes a meaningful response through updates to consumer protection law. ∗. Lane Powell and D. Wayne Gittinger Assistant Professor of Law, University of Washington School of Law. ∗∗. Researcher and Technical Writer, Data & Society Research Institute. The authors would like to thank Christo Wilson, Yan Shvartzshnaider, and Michelle Miller at Coworker.org; Nayantara Mehta and Rebecca Smith at the National Employment Law Project; participants in the Berkeley Law Privacy Law Scholars Conference; participants in the Loyola Law School faculty workshop; participants in the University of Pennsylvania IP colloquium; and danah boyd, Stacy Abder, Shana Kimball, Janet Haven, Julia Ticona, Alexandra Mateescu, Caroline Jack, and Shannon McCormack for thoughtful insights, comments, and feedback. The Uber Policy Team also provided helpful comments, which we try to address throughout the paper. Madeline Lamo, the librarians at Gallagher Law Library, and Patrick Davidson provided excellent research and editing. Rosenblat’s ongoing qualitative research on ride-hail drivers from 2014–2017 is vari- ously funded by Microsoft Research (FUSE grant–Peer Economy, 2014); the MacArthur Foundation (Intelligent & Autonomy Grant, 2014–2016); Open Society Foundations (Future of Work, 2014); and the Robert Wood Johnson Foundation (Mapping Inequalities in the On-Demand Economy, 2017–2018). -
New Strategies for the Platform Economy
SPECIAL COLLECTION STRATEGY New Strategies for the Platform Economy To reap the rewards and avoid the risks, companies exploring a platform business model must look carefully at their partnerships and growth strategy. Brought to you by: SPRING 2021 NEW STRATEGIES FOR THE PLATFORM ECONOMY SPECIAL REPORT 1 9 17 Competing on How Healthy Is Your Platform Scaling, Platforms Business Ecosystem? Fast and Slow THE DOMINANT DIGITAL PLATFORMS are now among the world’s most phases. At each stage, there are specific early valuable — and most powerful — companies, leaving a huge swath of organizations forced indicators to look for that point to potential to play by their rules. In this new competitive environment, businesses need new ways to failure. Tracking the appropriate metrics gain advantage despite platforms’ constraints and market clout. And businesses seeking to for each stage and being alert to red flags create successful platform ecosystems find that while the rewards can be great, the helps businesses pivot to a new approach or likelihood of failure is high. This special report examines the challenges faced by both limit their losses. platform owners and participants. Platforms aiming for market dominance have typically prioritized rapid growth. The asymmetries in power and infor- attention from U.S. and European regulators, However, Max Büge and Pinar Ozcan have mation between platform owners and the whose scrutiny of dominant platforms’ found that scaling quickly is not the right businesses reliant on them have implications practices may lead to shifts in the prevailing strategy in all circumstances: Pursuing fast for the traditional levers of competitive balance of power. -
Implementation on Social Media Platforms
Implementation on Social Media Platforms Overview The Eko Video Player is whitelisted for the Twitter and Facebook environments. When end viewers share an Eko video to one of these services, they essentially embed the Eko Video Player onto their timeline. Depending on the service (i.e. Facebook or Twitter), the end viewer’s platform, and whether the post is promoted (on Facebook only), the Eko Video Player will either play inline within the social media feed, in a new tab within the social media space, or in a new browser tab. Support for the Eko Video Player within these services is made possible by meta tags that are added to the HTML of the site where the video is hosted. These meta tags enable a Facebook Preview and Twitter Card to display in the feed when the video site url is shared on these services. The cards link directly to the interactive video object, enable playback, and specify the sharing copy for the content (provided by the partner). Direct links to videos hosted by Eko automatically include the meta tags to enable inline playback on shared posts, but for videos embedded outside of helloeko.com on a client’s website, the meta tags will need to be added to the website in the <head> part of the page’s HTML and tested. Facebook Open Graph Meta Tags When someone shares a video project hosted on your site to Facebook, Facebook’s crawler will scrape the HTML of the URL that is shared. On a regular HTML page this content is basic and may be incorrect, because the scraper has to guess which content is important, and which is not. -
Opening Remarks Here
More than a year ago, this Subcommittee launched an investigation into digital markets. Our two objectives have been to document competition problems in the digital economy, and to evaluate whether the current antitrust framework is able to properly address them. In September 2019, the Chairman and Ranking Members of the Full Committee and the Subcommittee issued sweeping, bipartisan requests for information to the four firms that will testify at today’s hearing. Since then, we have received millions of pages of evidence from these firms, as well as documents and submissions from more than 100 market participants. We also conducted hundreds of hours of interviews. As part of this investigation, we have held five hearings to examine the effects of online market power on innovation and entrepreneurship; data privacy; a free and diverse press; and independent businesses in the online marketplace. We have held 17 briefings and roundtables with over 35 experts and stakeholders in support of our work. This investigation has been bipartisan from the start. It has been an honor to work alongside my colleague, Congressman Jim Sensenbrenner, the Subcommittee’s Ranking Member, as well as the former Ranking Member of the Full Committee, Congressman Doug Collins. We worked closely with all the Members of the Subcommittee, who have taken this work seriously and studied these issues closely. As my colleague Congressman Ken Buck recently commented, “This is the most bipartisan effort that I have been involved with in five and a half years of Congress.” The purpose of today’s hearing is to examine the dominance of Amazon, Apple, Facebook, and Google. -
Automatic Opioid User Detection from Twitter
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18) Automatic Opioid User Detection From Twitter: Transductive Ensemble Built On Different Meta-graph Based Similarities Over Heterogeneous Information Network Yujie Fan, Yiming Zhang, Yanfang Ye ∗, Xin Li Department of Computer Science and Electrical Engineering, West Virginia University, WV, USA fyf0004,[email protected], fyanfang.ye,[email protected] Abstract 13,000 people died from heroin overdose, both reflecting sig- nificant increase from 2002 [NIDA, 2017]. Opioid addiction Opioid (e.g., heroin and morphine) addiction has is a chronic mental illness that requires long-term treatment become one of the largest and deadliest epidemics and care [McLellan et al., 2000]. Although Medication As- in the United States. To combat such deadly epi- sisted Treatment (MAT) using methadone or buprenorphine demic, in this paper, we propose a novel frame- has been proven to provide best outcomes for opioid addiction work named HinOPU to automatically detect opi- recovery, stigma (i.e., bias) associated with MAT has limited oid users from Twitter, which will assist in sharp- its utilization [Saloner and Karthikeyan, 2015]. Therefore, ening our understanding toward the behavioral pro- there is an urgent need for novel tools and methodologies to cess of opioid addiction and treatment. In HinOPU, gain new insights into the behavioral processes of opioid ad- to model the users and the posted tweets as well diction and treatment. as their rich relationships, we introduce structured In recent years, the role of social media in biomedical heterogeneous information network (HIN) for rep- knowledge mining has become more and more important resentation.