Want to Be on the Top? Algorithmic Power and the Threat of Invisibility on Facebook
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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. -
I Facebook and Panopticism: Healthy Curiosity Or Stalking?
Facebook and Panopticism: Healthy Curiosity or Stalking? A thesis presented to the faculty of the Scripps College of Communication of Ohio University In partial fulfillment of the requirements for the degree Master of Arts Mary Catherine Kennedy November 2009 © 2009. Mary Catherine Kennedy. All Rights Reserved. i This thesis titled Facebook and Panopticism: Healthy Curiosity or Stalking? by MARY CATHERINE KENNEDY has been approved for the School of Media Arts and Studies and the Scripps College of Communication by Karen E. Riggs Professor of Media Arts and Studies Gregory J. Shepherd Dean, Scripps College of Communication ii ABSTRACT KENNEDY, MARY C., M.A., November 2009, Telecommunications Facebook and Panopticism: Healthy Curiosity or Stalking? (108 pp.) Director of Thesis: Karen E. Riggs This study deepens existing knowledge concerning social networking sites, with specific interest in the social networking site Facebook and the phenomenon, “Facebook stalking”. By providing insights into lesser-known studies concerning user curiosity and surveillance online, the present research reveals that the terms ‘monitoring’ and ‘keeping up with’ or ‘keeping in touch with’ are most commonly used when referring to social searches within social networks; only when asked to think about surveillance in terms of stalking did interview participants refer to it as such. The present study aims to discover Facebook users’ perception of their friends’ disclosure while delving into the idea of “Facebook stalking”, specifically with regard to how users define it. Facebook’s evolution and prominence in the public sphere is dependent upon user satisfaction with and general understanding of the functionality of social networking websites. A discussion of these issues is beneficial to understanding how Facebook is used as a modern-day panopticon. -
The End of Forgetting: Strategic Agency Beyond the Panopticon
1 Running Head: THE END OF FORGETTING Title The end of forgetting: Strategic agency beyond the Panopticon Authors Jonah Bossewitch Communications Doctoral Program, Columbia University, USA Aram Sinnreich School of Communication and Information, Rutgers University, USA Abstract The rapid explosion of information technologies in recent years has contributed to a substantive change in the social dimensions of information sharing, and is forcing us to revise substantially our old assumptions regarding the knowledge/power dynamic. In this article, we discuss a range of strategic information-management options available to individuals and institutions in the networked society, and contrast these ‘blueprints’ to Foucault’s well-known Panopticon model. We organize these observations and analyses within a new conceptual framework based on the geometry of ‘information flux,’ or the premise that the net flow of information between an individual and a network is as relevant to power dynamics as the nature or volume of that information. Based on this geometrical model, we aim to develop a lexicon for the design, description, and critique of socio-technical systems. Keywords surveillance, privacy, transparency, sousveillance, panopticon, memory, new media, software studies, identity, quantified self Author Bios Jonah Bossewitch is a doctoral candidate in communications at Columbia University and a Technical Architect at the Columbia Center for New Media Teaching and Learning. He writes about surveillance and madness, and is investigating the politics of memory at the intersection of corruption in psychiatry and the pharmaceutical industry. He blogs at http://alchemicalmusings.org. Aram Sinnreich is an Assistant Professor at the Rutgers University School of Communication and Information. -
Content Social Media
content & social media CONTENT & SOCIAL MEDIA / 1 Introduction A couple of years ago, people were more insistent on keeping content marketing and social media marketing divided as clearly separate entities. However, as social media platforms have evolved and the ways in which brands communicate have changed to reflect such changes, the concepts of content vs social have started to blur. Ultimately, it doesn’t really matter if you’re writing a blog or you’re writing a social media post - both are content and both have the potential of helping you generate traffic, leads and sales. In the realm of social media, content is simply approached in a different way. You’re not writing an 800-word blog (at least not typically), rather you’re publishing shorter, easier- to-digest posts. Some may be text, others may be photos or videos, some may be a combination of these types. Depending on the platform, the kind of content you can craft also changes drastically. A simple example is Twitter’s restrictive 140-character limit per tweet - a parameter that essentially makes it a social microblog. CONTENT & SOCIAL MEDIA / 2 In this eBook, we will be looking at some of the most important points to remember when it comes to creating content on social media. These include: • IDENTIFYING AND UNDERSTANDING THE QUIRKS OF DIFFERENT SOCIAL MEDIA PLATFORMS - Facebook - Twitter - LinkedIn - Instagram - Google+ • CONSIDERING YOUR CONTENT - Text posts - Media / Photos & Videos - External links • THE IMPORTANCE OF CONSISTENCY CONTENT & SOCIAL MEDIA / 3 understanding thE Quirks of your social media platform Here’s a list of just some of the SOCIAL MEDIA PLATFORMS out there: Facebook Tumblr Twitter Snapchat LinkedIn Pinterest Instagram Myspace (yes, it still exists) Vine YouTube Google+ And potentially hundreds of other, smaller and lesser-known social networks The number is overwhelming, but the good news is that you can cut this list down to some of its key players. -
Facebook Timeline
Facebook Timeline 2003 October • Mark Zuckerberg releases Facemash, the predecessor to Facebook. It was described as a Harvard University version of Hot or Not. 2004 January • Zuckerberg begins writing Facebook. • Zuckerberg registers thefacebook.com domain. February • Zuckerberg launches Facebook on February 4. 650 Harvard students joined thefacebook.com in the first week of launch. March • Facebook expands to MIT, Boston University, Boston College, Northeastern University, Stanford University, Dartmouth College, Columbia University, and Yale University. April • Zuckerberg, Dustin Moskovitz, and Eduardo Saverin form Thefacebook.com LLC, a partnership. June • Facebook receives its first investment from PayPal co-founder Peter Thiel for US$500,000. • Facebook incorporates into a new company, and Napster co-founder Sean Parker becomes its president. • Facebook moves its base of operations to Palo Alto, California. N. Lee, Facebook Nation, DOI: 10.1007/978-1-4614-5308-6, 211 Ó Springer Science+Business Media New York 2013 212 Facebook Timeline August • To compete with growing campus-only service i2hub, Zuckerberg launches Wirehog. It is a precursor to Facebook Platform applications. September • ConnectU files a lawsuit against Zuckerberg and other Facebook founders, resulting in a $65 million settlement. October • Maurice Werdegar of WTI Partner provides Facebook a $300,000 three-year credit line. December • Facebook achieves its one millionth registered user. 2005 February • Maurice Werdegar of WTI Partner provides Facebook a second $300,000 credit line and a $25,000 equity investment. April • Venture capital firm Accel Partners invests $12.7 million into Facebook. Accel’s partner and President Jim Breyer also puts up $1 million of his own money. -
View Was Conducted with a Convenience Sample of Patients Being Treated for MM
JMIR Cancer Patient-Centered Innovations, Education and Technology for Cancer Care and Cancer Research Volume 4 (2018), Issue 2 ISSN: 2369-1999 Contents Original Papers Barriers and Facilitators of Using Sensored Medication Adherence Devices in a Diverse Sample of Patients With Multiple Myeloma: Qualitative Study (e12) Alemseged Asfaw, Connie Yan, Karen Sweiss, Scott Wirth, Victor Ramirez, Pritesh Patel, Lisa Sharp. 3 Web-Based Patient-Reported Outcomes Using the International Consortium for Health Outcome Measurement Dataset in a Major German University Hospital: Observational Study (e11373) Maria Karsten, Dorothee Speiser, Claudia Hartmann, Nele Zeuschner, Kai Lippold, Verena Kiver, Peter Gocke, Valerie Kirchberger, Jens-Uwe Blohmer. 14 Online Decision Support Tool for Personalized Cancer Symptom Checking in the Community (REACT): Acceptability, Feasibility, and Usability Study (e10073) Marzena Nieroda, Artitaya Lophatananon, Brian McMillan, Li-Chia Chen, John Hughes, Rona Daniels, James Clark, Simon Rogers, Kenneth Muir. 22 Association Between Adherence to Cancer Screening and Knowledge of Screening Guidelines: Feasibility Study Linking Self-Reported Survey Data With Medical Records (e10529) Aisha Lofters, Deanna Telner, Sumeet Kalia, Morgan Slater. 38 Exploring the Most Visible German Websites on Melanoma Immunotherapy: A Web-Based Analysis (e10676) Julia Brütting, Theresa Steeb, Lydia Reinhardt, Carola Berking, Friedegund Meier. 51 Reliability of Cancer Treatment Information on the Internet: Observational Study (e10031) Ryo Ogasawara, Noriyuki Katsumata, Tatsushi Toyooka, Yuko Akaishi, Takaaki Yokoyama, Gemmu Kadokura. 61 How to Optimize Health Messages About Cancer on Facebook: Mixed-Methods Study (e11073) Priscila Biancovilli, Claudia Jurberg. 68 A Rapid Process for Identifying and Prioritizing Technology-Based Tools for Health System Implementation (e11195) Emily Dibble, Bradley Iott, Allen Flynn, Darren King, Mark MacEachern, Charles Friedman, Tanner Caverly. -
Contemporary Irish Perspectives Kenny Doyle1
Surveillance Privacy and Technology: 13Contemporary Irish Perspectives Kenny Doyle1 Abstract urveillance is typically envisaged as the act of a person being physically Swatched, their movements and behaviour monitored in a given space and time. While this type of watching undoubtedly takes place, there is also the more subtle and pervasive monitoring of people through the data they accumulate in their daily lives. Contemporary Irish society is mediated by digital technology; the daily life of the typical person creates a mass of data which can offer many telling clues as to the type of life they lead. This form of surveillance is called dataveillance (Clarke, 1988). It is unclear however exactly how much citizens know about these practices and how they negotiate with and respond to surveillance systems. This study aimed -by conducting focused interviews with Irish citizens – to explore the levels of knowledge regarding surveillance and privacy and to ascertain the importance placed on these concepts. Using Harper’s (2011) typology of subject positions, a further aim was to uncover any discursive repertoires used when defining or speaking about these concepts. It was found that widely used conceptions of privacy and surveillance are inadequate to describe contemporary reality; and that forms of sociality have changed with the widespread use of information and communication technologies (ICT). Keywords: surveillance, technology, privacy, Ireland, dataveillance the internet, social networking, ICT. 1. Waterford Institute of Technology, Waterford, Ireland; [email protected] How to cite this chapter: Doyle, K. (2013). Surveillance Privacy and Technology: Contemporary Irish Perspectives. In C. Fowley, C. English, & S. Thouësny (Eds.), Internet Research, Theory, and Practice: Perspectives from Ireland (pp. -
Social Control and Surveillance in the Society of Consumers
International Journal of Sociology and Anthropology Vol. 3(6) pp. 180-188, June 2011 Available online http://www.academicjournals.org/ijsa ISSN 2006-988x ©2011 Academic Journals Review Social control and surveillance in the society of consumers Massimo Ragnedda Dipartimento di Economia Istituzioni e Società (DEIS), Facoltà di Lettere e Filosofia, Università degli Studi di Sassari, Piazza Conte di Moriana 8, 07100 Sassari, Italy. E-mail: [email protected]. Tel: +39 079229654. Fax: +39 079229660 Accepted January 21, 2011 The new Information and Communication Technologies (ICTs) introduced a highly automated and much cheaper systematic observation of personal data. ICTs advance the intensification and the extension of surveillance, such that an expanding quantity of data can now be collected, tabulated and cross- referenced more rapidly and more accurately than old paper files. This process contributes to the building a "new electronic cage" constraining the individual, on the basis of his e-profile and data- matching. Especially two agents of surveillance are interested in collecting and using such data: government authorities and private corporations. Massive stores of personal data held on ordinary people are now vital to both public services and private business purposes. The new electronic cage is more all-encompassing and complete, being able to produce a complete profile of citizens and consumers in real time. Both public and private information agencies rely on one another for creating and modelling the profiles of good citizens/consumers who, by definition, are well integrated into social life, exhibiting predictable behaviour that conforms to the general needs of contemporary consumer/ oriented social relations. -
Your Post Has Been Removed
Frederik Stjernfelt & Anne Mette Lauritzen YOUR POST HAS BEEN REMOVED Tech Giants and Freedom of Speech Your Post has been Removed Frederik Stjernfelt Anne Mette Lauritzen Your Post has been Removed Tech Giants and Freedom of Speech Frederik Stjernfelt Anne Mette Lauritzen Humanomics Center, Center for Information and Communication/AAU Bubble Studies Aalborg University University of Copenhagen Copenhagen København S, København SV, København, Denmark København, Denmark ISBN 978-3-030-25967-9 ISBN 978-3-030-25968-6 (eBook) https://doi.org/10.1007/978-3-030-25968-6 © The Editor(s) (if applicable) and The Author(s) 2020. This book is an open access publication. Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/ by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permit- ted use, you will need to obtain permission directly from the copyright holder. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. -
The Silencing Power of Algorithms: How the Facebook News Feed Algorithm Manipulates Users’ Perceptions of Opinion Climates
Portland State University PDXScholar University Honors Theses University Honors College March 2019 The Silencing Power of Algorithms: How the Facebook News Feed Algorithm Manipulates Users’ Perceptions of Opinion Climates Callie Jessica Morgan Portland State University Follow this and additional works at: https://pdxscholar.library.pdx.edu/honorstheses Let us know how access to this document benefits ou.y Recommended Citation Morgan, Callie Jessica, "The Silencing Power of Algorithms: How the Facebook News Feed Algorithm Manipulates Users’ Perceptions of Opinion Climates" (2019). University Honors Theses. Paper 661. This Thesis is brought to you for free and open access. It has been accepted for inclusion in University Honors Theses by an authorized administrator of PDXScholar. Please contact us if we can make this document more accessible: [email protected]. Running head: SILENCING POWER OF ALGORITHMS 1 The Silencing Power of Algorithms: How the Facebook News Feed Algorithm Manipulates Users’ Perceptions of Opinion Climates Callie Morgan University Honors College Portland State University Advisor: Dr. Erin Spottswood SILENCING POWER OF ALGORITHMS 2 Abstract This extended literature review investigates how the architecture and features of the Facebook Newsfeed algorithm, EdgeRank, can inhibit and facilitate the expression of political opinions. This paper will investigate how Elisabeth Noelle-Neumann’s theory on public opinion, Spiral of Silence, can be used to assess the Facebook news feed as a political opinion source that actively shapes users’ perceptions of minority and majority opinion climates. The feedback loops created by the algorithm’s criteria influences users’ decisions to self-censor or express their political opinions with interpersonal connections and unfamiliar connections on the site. -
Notes for the Central Tables of the Book, Predictive Analytics: the Power to Predict Who Will Click, Buy, Lie, Or Die — Revised and Updated Edition
NOTES FOR THE CENTRAL TABLES OF THE BOOK, PREDICTIVE ANALYTICS: THE POWER TO PREDICT WHO WILL CLICK, BUY, LIE, OR DIE — REVISED AND UPDATED EDITION This document provides citations and comments pertaining to the book’s Central Tables of 182 examples. Rather than clicking, many URLs below that span multiple lines must be copied to your browser, and extraneous spaces manually removed. For more information about the book, see the book’s website: www.thepredictionbook.com. Central Tables The 182 examples are organized into these 9 Central Tables: 1. Family and Personal Life 2. Marketing, Advertising, and The Web 3. Financial Risk and Insurance 4. Healthcare 5. Law Enforcement and Fraud Detection 6. Fault Detection, Safety, and Logistical Efficiency 7. Government, Politics, Nonprofit, and Education Table 8. Human Language Understanding, Thought, and Psychology 9. Workforce: Staff and Employees For more on how these sectors apply predictive analytics, see the corresponding series of industry-focused Predictive Analytics World (PAW—www.pawcon.com) conferences: • PAW Business • PAW Financial • PAW Healthcare • PAW Manufacturing • PAW Government • PAW Workforce Family and Personal Life—Central Table 1 Nokia: § David Talbot, “A Phone That Knows Where You’re Going,” Technology Review Online, July 8, 2012. www.technologyreview.com/news/428441/a-phone-that-knows- where- youre-going/. § Nokia Data Center, Nokia Mobile Data Challenge. http://research.nokia.com/page/12000. § KDnuggets, “Nokia Mobile Data Challenge: Your Friends Determine Where You Are Going,” July 2012. www.kdnuggets.com/2012/07/nokia-mobile-data-challenge.html. § Albert-László Barabási, “Human Behavior Is 93 Percent Predictable, Research Shows,” PhysOrg.com, February 23, 2010. -
Social Media Marketing Summit
Social Media Marketing Summit ©2018 JB Media Institute LLC Sarah Benoit Co-founder & Lead #d2cc2d Instructor JB Media Institute www.JBMediaInstitute.com [email protected] @SarahDBenoit Twitter & Instagram Facebook.com/SarahDBenoit Founder & President Today’s Agenda #d2cc2d Session 1 Connect and Engage - Facebook and Instagram Marketing Best Practices Session 2 Social Media Strategy and The Art of Engagement and Conversion ©2017 JB Media Institute LLC Facebook According to Pew Research Center... Jan. 2018 Pew Research Center 68% of US adults (people over 18) use Facebook and 73% of US adults use YouTube. Younger Americans (especially those ages 18 to 24) stand out for embracing a variety of platforms and using them frequently: ● 94% of 18- to 24-year-olds use Youtube ● 78% use Snapchat ● 71% use Instagram ● 45% are Twitter users ©2018 JB Media Institute LLC There are 3 main tools on Facebook: Personal Pages = Friends Business Pages = Likes Group Pages = Members Copyright 2018 JB Media Institute LLC The Original Facebook Algorithm Edgerank is what they called the original Facebook algorithm. The algorithm controls what content shows at the top of your newsfeed. Content with more “edges” was given higher priority in the newsfeeds. “Edges” could be created with links, photos, videos, shares, comments, likes, and more Taken from: http://tctechcrunch2011.files.wordpress.com/2010/04/edgerankform2.png Copyright 2018 JB Media Institute LLC 3 Parts of Edgerank Affinity gauges how close of a relationship a brand/company/organization has Affinity with any given fan. Affinity increases when a user has repeat interactions with a business page. Commenting, liking, sharing, clicking, and messaging builds Affinity.