Effectiveness of Social Media As a Tool of Communication and Its Potential for Technology Enabled Connections: a Micro-Level Study
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Obtaining and Using Evidence from Social Networking Sites
U.S. Department of Justice Criminal Division Washington, D.C. 20530 CRM-200900732F MAR 3 2010 Mr. James Tucker Mr. Shane Witnov Electronic Frontier Foundation 454 Shotwell Street San Francisco, CA 94110 Dear Messrs Tucker and Witnov: This is an interim response to your request dated October 6, 2009 for access to records concerning "use of social networking websites (including, but not limited to Facebook, MySpace, Twitter, Flickr and other online social media) for investigative (criminal or otherwise) or data gathering purposes created since January 2003, including, but not limited to: 1) documents that contain information on the use of "fake identities" to "trick" users "into accepting a [government] official as friend" or otherwise provide information to he government as described in the Boston Globe article quoted above; 2) guides, manuals, policy statements, memoranda, presentations, or other materials explaining how government agents should collect information on social networking websites: 3) guides, manuals, policy statements, memoranda, presentations, or other materials, detailing how or when government agents may collect information through social networking websites; 4) guides, manuals, policy statements, memoranda, presentations and other materials detailing what procedures government agents must follow to collect information through social- networking websites; 5) guides, manuals, policy statements, memorandum, presentations, agreements (both formal and informal) with social-networking companies, or other materials relating to privileged user access by the Criminal Division to the social networking websites; 6) guides, manuals, memoranda, presentations or other materials for using any visualization programs, data analysis programs or tools used to analyze data gathered from social networks; 7) contracts, requests for proposals, or purchase orders for any visualization programs, data analysis programs or tools used to analyze data gathered from social networks. -
Opportunities and Challenges for Standardization in Mobile Social Networks
Opportunities and Challenges for Standardization in Mobile Social Networks Laurent-Walter Goix, Telecom Italia [email protected] Bryan Sullivan, AT&T [email protected] Abstract This paper describes the opportunities and challenges related to the standardization of interoperable “Mobile Social Networks”. Challenges addressed include the effect of social networks on resource usage, the need for social network federation, and the needs for a standards context. The concept of Mobile Federated Social Networks as defined in the OMA SNEW specification is introduced as an approach to some of these challenges. Further specific needs and opportunities in standards and developer support for mobile social apps are described, including potentially further work in support of regulatory requirements. Finally, we conclude that a common standard is needed for making mobile social networks interoperable, while addressing privacy concerns from users & institutions as well as the differentiations of service providers. 1 INTRODUCTION Online Social Networks (OSN) are dominated by Walled Gardens that have attracted users by offering new paradigms of communication / content exchange that better fit their modern lifestyle. Issues are emerging related to data ownership, privacy and identity management and some institutions such as the European Commission have started to provide measures for controlling this. The impressive access to OSN from ever smarter mobile devices, as well as the growth of mobile- specific SN services (e.g. WhatsApp) have further stimulated the mobile industry that is already starving for new attractive services (RCS 1). In this context OMA 2 as mobile industry forum has recently promoted the SNEW specifications that can leverage network services such as user identity and native interoperability of mobile networks (the approach promoted by “federated social networks”). -
Chazen Society Fellow Interest Paper Orkut V. Facebook: the Battle for Brazil
Chazen Society Fellow Interest Paper Orkut v. Facebook: The Battle for Brazil LAUREN FRASCA MBA ’10 When it comes to stereotypes about Brazilians – that they are a fun-loving people who love to dance samba, wear tiny bathing suits, and raise their pro soccer players to the levels of demi-gods – only one, the idea that they hold human connection in high esteem, seems to be born out by concrete data. Brazilians are among the savviest social networkers in the world, by almost all engagement measures. Nearly 80 percent of Internet users in Brazil (a group itself expected to grow by almost 50 percent over the next three years1) are engaged in social networking – a global high. And these users are highly active, logging an average of 6.3 hours on social networks and 1,220 page views per month per Internet user – a rate second only to Russia, and almost double the worldwide average of 3.7 hours.2 It is precisely this broad, highly engaged audience that makes Brazil the hotly contested ground it is today, with the dominant social networking Web site, Google’s Orkut, facing stiff competition from Facebook, the leading aggregate Web site worldwide. Social Network Services Though social networking Web sites would appear to be tools born of the 21st century, they have existed since even the earliest days of Internet-enabled home computing. Starting with bulletin board services in the early 1980s (accessed over a phone line with a modem), users and creators of these Web sites grew increasingly sophisticated, launching communities such as The WELL (1985), Geocities (1994), and Tripod (1995). -
International Students' Use of Social Network Sites For
INTERNATIONAL STUDENTS’ USE OF SOCIAL NETWORK SITES FOR COLLEGE CHOICE ACTIVITIES AND DECISION MAKING Natalia Rekhter Submitted to the faculty of the University Graduate School in partial fulfillment of the requirements for the degree Doctor of Philosophy in the School of Education Indiana University June 2017 Accepted by the Graduate Faculty, Indiana University, in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Doctoral Dissertation Committee _______________________________________________________________ Committee Chairperson, Robin Hughes, Ph.D. _______________________________________________________________ Committee Member, Donald Hossler, Ph.D. _______________________________________________________________ Committee Member, Gary Pike, Ph.D. _______________________________________________________________ Committee Member, James Scheurich, Ph.D. _______________________________________________________________ Committee Member, Eric Wright, Ph.D. Date of Defense March 9, 2017 ii I dedicate this dissertation to my husband, Mark Rekhter, M.D., Ph.D. Thank you for always encouraging me to persist, believing in me, listening to my endless self-doubts, always finding words of reassurance, and for being by my side all the way. I also dedicate this dissertation to my sons Ilya and Misha, who inspired me by their own successes, intelligence, and dedication. iii Acknowledgements I was able to complete this dissertation research only because of the encouragement, guidance, support and care of my dissertation research advisor Dr. Donald Hossler. Dr. Hossler, thank you for your infinite patience, for challenging my views, for always inspiring me to do better and reach higher, for your suggestions, your guidance, your feedback and your trust in me. An opportunity to work with you and learn from you made a profound impact on me as a person and as a researcher. -
Social Networking: a Guide to Strengthening Civil Society Through Social Media
Social Networking: A Guide to Strengthening Civil Society Through Social Media DISCLAIMER: The author’s views expressed in this publication do not necessarily reflect the views of the United States Agency for International Development or the United States Government. Counterpart International would like to acknowledge and thank all who were involved in the creation of Social Networking: A Guide to Strengthening Civil Society through Social Media. This guide is a result of collaboration and input from a great team and group of advisors. Our deepest appreciation to Tina Yesayan, primary author of the guide; and Kulsoom Rizvi, who created a dynamic visual layout. Alex Sardar and Ray Short provided guidance and sound technical expertise, for which we’re grateful. The Civil Society and Media Team at the U.S. Agency for International Development (USAID) was the ideal partner in the process of co-creating this guide, which benefited immensely from that team’s insights and thoughtful contributions. The case studies in the annexes of this guide speak to the capacity and vision of the featured civil society organizations and their leaders, whose work and commitment is inspiring. This guide was produced with funding under the Global Civil Society Leader with Associates Award, a Cooperative Agreement funded by USAID for the implementation of civil society, media development and program design and learning activities around the world. Counterpart International’s mission is to partner with local organizations - formal and informal - to build inclusive, sustainable communities in which their people thrive. We hope this manual will be an essential tool for civil society organizations to more effectively and purposefully pursue their missions in service of their communities. -
Building on Young People's Experiences of Economic Adversity
Making a Difference: Building on Young People’s Experiences of Economic Adversity FINAL REPORT Jennifer Skattebol, Peter Saunders, Gerry Redmond, Megan Bedford and Bettina Cass Social Policy Research Centre University of New South Wales August 2012 For a full list of SPRC Publications visit: www.sprc.unsw.edu.au or contact: Publications, SPRC, Level 2, John Goodsell Building University of New South Wales, Sydney, NSW, 2052, Australia. Telephone: +61 (2) 9385 7800 Fax: +61 (2) 9385 7838 Email: [email protected] ISSN: 1446-4179 ISBN: 978-0-7334-3172-2 Published: August 2012 The views expressed in this publication do not represent any official position on the part of the Social Policy Research Centre, but the views of the individual authors. MAKING A DIFFERENCE: FINAL REPORT Research Team: Social Policy Research Centre, University of New South Wales Professor Peter Saunders, Professor Bettina Cass, Dr Gerry Redmond* (Chief Investigators), Dr Jen Skattebol, Megan Bedford (nee Griffiths). Partner Investigators: The Brotherhood of St Laurence: Janet Taylor The Smith Family (formerly at Mission Australia): Anne Hampshire The University of Bath: Dr Tess Ridge * Gerry Redmond is now at the School of Social and Policy Studies, Flinders University of South Australia Contact for follow up: Jen Skattebol, Social Policy Research Centre, University of New South Wales, Sydney NSW 2052, Ph: (02) 9385 7816, [email protected] MAKING A DIFFERENCE: FINAL REPORT Acknowledgements First and foremost, we thank all the young people who generously shared their stories and insights about economic adversity. We have also benefitted enormously from the insights of the parents we interviewed, who helped us understand the complexities of raising children on low incomes. -
Contextual Social Networking
Technische Universit¨atM¨unchen Fakult¨atf¨urInformatik Contextual Social Networking Dipl.-Phys., Dipl.-Inform. Dr.rer.nat. Georg Groh Habilitationsschrift Mitglieder des Habilitationskomittees: Prof. Dr. Johann Schlichter Prof. Dr. Bettina Berendt Prof. Dr. Helmut Seidl Kurz-Zusammenfassung Der zentrale Gegenstand der vorliegenden Arbeit ist die vielschichtige Frage, wie Kontexte detektiert und abgeleitet werden k¨onnen,die dazu dienen k¨onnen,neuar- tige kontextbewusste Social Networking Dienste zu schaffen und bestehende Di- enste in ihrem Nutzwert zu verbessern. Die (noch nicht abgeschlossene) erfolgre- iche Umsetzung dieses Programmes f¨uhrtauf ein Konzept, das man als Contextual Social Networking bezeichnen kann. In einem grundlegenden ersten Teil werden die eng zusammenh¨angendenGebiete Contextual Social Networking, Mobile Social Networking und Decentralized Social Networking mit verschiedenen Methoden und unter Fokussierung auf verschiedene Detail-Aspekte n¨aherbeleuchtet und in Zusam- menhang gesetzt. Ein zweiter Teil behandelt die Frage, wie soziale Kurzzeit- und Langzeit-Kontexte als f¨urdas Social Networking besonders interessante Formen von Kontext gemessen und abgeleitet werden k¨onnen. Ein Fokus liegt hierbei auf NLP Methoden zur Charakterisierung sozialer Beziehungen als einer typischen Form von sozialem Langzeit-Kontext. Ein weiterer Schwerpunkt liegt auf Methoden aus dem Mobile Social Signal Processing zur Ableitung sinnvoller sozialer Kurzzeit-Kontexte auf der Basis von Interaktionsgeometrien und Audio-Daten. Es wird ferner unter- sucht, wie pers¨onliche soziale Agenten Kontext-Elemente verschiedener Abstraktion- sgrade miteinander kombinieren k¨onnen.Der dritte Teil behandelt neuartige und verbesserte Konzepte f¨urkontextbewusste Social Networking Dienste. Es werden spezielle Formen von Awareness Diensten, neue Formen von sozialem Information Retrieval, Konzepte f¨urkontextbewusstes Privacy Management und Dienste und Plattformen zur Unterst¨utzungvon Open Innovation und Kreativit¨atuntersucht und vorgestellt. -
Semantic Social Network Analysis Foresees Message Flows
Semantic Social Network Analysis Foresees Message Flows Matteo Cristani, Claudio Tomazzoli and Francesco Olivieri Dipartimento di Informatica, University of Verona, Strada le Grazie 15, Verona, Italy Keywords: Social Network Analysis, Information Flow, Semantics of Data Flow. Abstract: Social Network Analysis is employed widely as a means to compute the probability that a given message flows through a social network. This approach is mainly grounded upon the correct usage of three basic graph- theoretic measures: degree centrality, closeness centrality and betweeness centrality. We show that, in general, those indices are not adapt to foresee the flow of a given message, that depends upon indices based on the sharing of interests and the trust about depth in knowledge of a topic. We provide an extended model, that is a simplified version of a more general model already documented in the literature, the Semantic Social Network Analysis, and show that by means of this model it is possible to exceed the drawbacks of general indices discussed above. 1 INTRODUCTION message passing in certain application contexts. Three basic measures have been developed that Social Networks are considered, on the current belong to the family of centrality measures: degree panorama of web applications, as the principal vir- centrality, closeness centrality and betweeness cen- tual space for online communication. Therefore, it is trality. In this paper we criticize the models of so- of strong relevance for practical applications to un- cial network analysis developed for these measures, derstand how strong a member of the network is with showing that there are cases in which these measures respect to the others. -
A Discussion on Social Software: Concept, Building Blocks and Challenges
International Journal for Infonomics (IJI), Volume 3, Issue 4, December 2010 A Discussion on Social Software: Concept, Building Blocks and Challenges Roberto Pereira M. Cecilia C. Baranauskas Sergio R. P. da Silva Institute of Computing Institute of Computing Department of Informatics University of Campinas University of Campinas State University of Maringá Abstract interaction are extended to issues related to human- computer-human interaction in social situations. The possibility of developing more interactive and Despite the popularity and the growing in the innovative applications led to an explosion in the number of users of the social software, just a small amount of systems available on the web in which fraction of systems is really successful. To Webb [2], users interact with each other and have a primary the main particularity of social software is in the role as producers of content — the so-called social design process, because human factors and group software. However, despite their popularity, few of dynamics introduce design difficulties that are not these systems keep an effective participation of users, obvious without considering the human psychology promoting a continuous and productive interaction. and nature. Moreover, as Silva and Pereira [3] argue, This paper examines the concept of social software due to the recent emergence and popularization of and analyzes the social software honeycomb, a social software it is still necessary to understand the framework to help in understanding this kind of impacts that this new range of applications cause, system. Based on the analysis of an inclusive social both in social and technological aspects. Likewise, it network and on literature review, we revisit that is necessary to study the new challenges raised by framework. -
Collaborative Filtering for Orkut Communities: Discovery of User Latent Behavior
Collaborative Filtering for Orkut Communities: Discovery of User Latent Behavior Wen-Yen Chen∗ Jon-Chyuan Chu∗ Junyi Luan∗ University of California MIT Peking University Santa Barbara, CA 93106 Cambridge, MA 02139 Beijing 100084, China [email protected] [email protected] [email protected] Hongjie Bai Yi Wang Edward Y. Chang Google Research Google Research Google Research Beijing 100084, China Beijing 100084, China Beijing 100084, China [email protected] [email protected] [email protected] ABSTRACT General Terms Users of social networking services can connect with each Algorithms, Experimentation other by forming communities for online interaction. Yet as the number of communities hosted by such websites grows Keywords over time, users have even greater need for effective commu- nity recommendations in order to meet more users. In this Recommender systems, collaborative filtering, association paper, we investigate two algorithms from very different do- rule mining, latent topic models, data mining mains and evaluate their effectiveness for personalized com- munity recommendation. First is association rule mining 1. INTRODUCTION (ARM), which discovers associations between sets of com- munities that are shared across many users. Second is latent Much information is readily accessible online, yet we as Dirichlet allocation (LDA), which models user-community humans have no means of processing all of it. To help users co-occurrences using latent aspects. In comparing LDA with overcome the information overload problem and sift through ARM, we are interested in discovering whether modeling huge amounts of information efficiently, recommender sys- low-rank latent structure is more effective for recommen- tems have been developed to generate suggestions based on dations than directly mining rules from the observed data. -
The Importance of the Social Web – Implications for the Tourism Industry and for Society
The Importance of the Social Web – Implications for the Tourism Industry and for Society Daniel Amersdorffer a, Florian Bauhubera b, and Jens Oellricha a a Tourismuszukunft – Institute for eTourism Eichstätt, Germany {d.amersdorffer, j.oellrich}@tourismuszukunft.de b Department of Cultural Geography Catholic University Eichstätt-Ingolstadt, Germany [email protected] Abstract The social web is more than a technological innovation: it is a social innovation – it changes the way people and companies interact and communicate. New business models, new structures and new hierarchies in tourism enterprises and tourism organisations are the consequences of this transformation. The environment of tourism will be changed permanently by the influence of the social web on media landscapes, on media consumption and on construction of tourism imaginations. The central starting points of the debate are seized on in this article trying to visualise the challenges in tourism associated with the developments of the social web out of a scientific and practical point of the view. Keywords: Social Web, Tourism, Principles, Internet, Society, Business Management 1 Introduction The tourism industry always had high expectations of the internet. Tourism as an intangible service product can be perfectly adapted for electronic data transfer. Online travel communities and online ticket sales were said to have a bright future due to the fact that the presentation of necessary information for purchasing products in the internet is easy and the costs for daily updates are comparatively small. Moreover, the emotionalisation of travel products can be attained more simply compared to other kinds of the media, e.g. through the integration of pictures and videos (Buhalis, 2003). -
Social CRM in Higher Education Introduction Many Colleges And
Social CRM in Higher Education Introduction Many colleges and universities employ sophisticated CRM (customer relationship management) tools to manage relationships with their constituents. Campuses use CRM to help recruit high- quality students, communicate with parents, manage relationships with current students, promote events, and keep in contact with alumni. The growing popularity of Web 2.0 social network tools creates a new challenge for colleges. Many of their most important constituents, late-teen and early twenty-year olds, are abandoning traditional CRM media such as print, email, and telephones in favor of social media. Having invested heavily in CRM during the past decade campuses must now retool their communication strategies to incorporate social media. The integration of social networking sites into CRM systems is known as “Social CRM.” Social networking sites include blogs, wikis, social bookmarking, consumer reviews, and video sharing. Table 1 provides a list of Web 2.0 tools and the names of popular web sites that provide these tools. The popularity of social software sites has increased dramatically in recent years. Four of the top ten most popular web sites in April 2012 are social software sites (Alexa.com, 2012). Social software is very popular with college students. A 2007 survey of 31,500 first-year college students found that 94-percent used social networking sites at least weekly (Higher Education Research Institute, 2007). RateMyProfessors.com, a social networking site that allows anonymous ratings of professors, is visited by approximately 3 million college students each month. It claims to publish over 10 million student-generated ratings of more than one million professors (RateMyProfessors.com, 2010).