A Discussion on Social Software: Concept, Building Blocks and Challenges
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Regional Use of Social Networking Tools
Regional Use of Social Networking Tools Kate Meeuf December 2014 TECHNICAL REPORT CMU/SEI-2014-TR-018 CERT® Division http://www.sei.cmu.edu Copyright 2014 Carnegie Mellon University This material is based upon work funded and supported by Department of Homeland Security under Contract No. FA8721-05-C-0003 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center sponsored by the United States Department of Defense. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of Department of Homeland Security or the United States Department of Defense. This report was prepared for the SEI Administrative Agent AFLCMC/PZM 20 Schilling Circle, Bldg 1305, 3rd floor Hanscom AFB, MA 01731-2125 NO WARRANTY. THIS CARNEGIE MELLON UNIVERSITY AND SOFTWARE ENGINEERING INSTITUTE MATERIAL IS FURNISHED ON AN “AS-IS” BASIS. CARNEGIE MELLON UNIVERSITY MAKES NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED, AS TO ANY MATTER INCLUDING, BUT NOT LIMITED TO, WARRANTY OF FITNESS FOR PURPOSE OR MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE OF THE MATERIAL. CARNEGIE MELLON UNIVERSITY DOES NOT MAKE ANY WARRANTY OF ANY KIND WITH RESPECT TO FREEDOM FROM PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT. This material has been approved for public release and unlimited distribution except as restricted be- low. Internal use:* Permission to reproduce this material and to prepare derivative works from this material for internal use is granted, provided the copyright and “No Warranty” statements are included with all reproductions and derivative works. -
Archetypes of Enterprise Social Network Users
Proceedings of the 51st Hawaii International Conference on System Sciences j 2018 Archetypes of Enterprise Social Network Users Christian Oettl, Thomas Berger, Markus Böhm, Manuel Wiesche, Helmut Krcmar Technical University of Munich {c.oettl, thomas.berger}@tum.de, {markus.boehm, manuel.wiesche, krcmar}@in.tum.de Abstract organizations will promote the introduction and development of ESNs in the future [8]. Investments in enterprise social networks (ESNs) have However, even if ESNs are implemented in increased rapidly in recent years. However, an ESN organizations, their value contribution appears unclear utilization intensity develops slowly, and there are a because 80% of projects do not fulfill expectations few well-grounded approaches to understand ESN [16]. The typical ROI of any social technology usage. To elaborate on different archetypes of ESN becomes positive when 15% to 25% of employees use users, we conducted a case study that comprised 28 such technology extensively and companies should not interviews with a large IT services company. We assume that “If we build it, they will come” [3]. present a model to characterize ESN users and classify This was also observed in the company that was them as archetypes based on the following two considered in this study. In 2014, a large multinational dimensions: individual openness to ESNs and IT service provider started a radical metamorphosis perceived task-fit. We determine six archetypes of ESN from an email centered to an ESN centered users, namely, power users, limited users, reluctant organization. The implemented solution provides users, repudiators, hidden champions, and question typical key functionalities that characterize an ESN as marks. -
THE SIGNIFICANCE of SOCIAL SOFTWARE Danah Boyd UC
THE SIGNIFICANCE OF SOCIAL SOFTWARE danah boyd UC Berkeley School of Information, Berkeley, CA, USA [email protected] http://www.zephoria.org/ Social software… It’s a term that is thrown around frequently, rarely defined, completely elusive, and yet totally significant. What on earth does it mean? And should you care? (IMHO) Of course you should care! Social software is all around us now. It is altering the organization of social life. How do you communicate with loved ones? How do you find information? A lot of this hinges on social software. In this opening essay, I want to address the significance of „social software.” I will look at this from a few different angles, building on the attitudes and practices of creators, users, and researchers of social software. My goal is to lay out some possible approaches for thinking about the types of technologies and behaviors that emerge. What I’m offering is not some truth serum (nor even a proper analysis) – it can and should be contested, questioned, and wrestled with. Let’s begin. Social Software First… what constitutes „social software“? Where does this term come from? In 2002, Clay Shirky (re)claimed the term „social software“ to encompass „all uses of software that supported interacting groups, even if the interaction was offline.“1 His choice was intentional. Although other terms existed – groupware, social computing, computer-mediated communication, etc. – he felt that these older terms In: Burg, Thomas N. / Jan Schmidt (Eds.) BlogTalks Reloaded. Social Software - Research & Cases. Norderstedt: Books on Demand. BlogTalk Reloaded were either polluted or a bad fit to address certain new technologies. -
Social Theory and Social Computing Workshop– Honolulu, Hawaii – May 22 - 23, 2010
Social Theory and Social Computing Workshop– Honolulu, Hawaii – May 22 - 23, 2010 Presentation abstracts and bio sketches Day One CHOICE-THEORETIC MODELS Dennis Chong, Northwestern University, Department of Political Science Dynamic Public Preferences I will discuss how the sensitivity of political evaluations to framing affects our understanding of individual preferences. In particular, the effects of framing appear to undermine the assumption that preferences are consistent. Some researchers have suggested that democratic competition can strengthen preferences and reduce framing effects. I will present some experimental tests of how competition over time between alternative frames affects public opinion depending on how individuals process information. Dennis Chong is the John D. and Catherine T. MacArthur Professor of Political Science at Northwestern University. He studies American national politics and has published extensively on issues of decision-making, political psychology, social norms, rationality, tolerance, and collective action. Professor Chong is the author of Rational Lives: Norms and Values in Politics and Society, a study of value formation and change, group identification, and conflict over social norms and values. He also wrote Collective Action and the Civil Rights Movement, a theoretical study of the dynamics of collective action as well as a substantial study of the American civil rights movement and the local and national politics that surrounded it. This book won the William H. Riker Prize given by the Political Economy Section of the American Political Science Association. Professor Chong's current research on the influence of information and framing in competitive electoral contexts has received several awards, including the APSA's Franklin L. Burdette/Pi Sigma Alpha Prize. -
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”). -
Protection, Not Barriers: Using Social Software Policies to Guide and Safeguard Students and Employees
Georgia State University ScholarWorks @ Georgia State University University Library Faculty Publications Georgia State University Library Fall 2010 Protection, Not Barriers: Using Social Software Policies to Guide and Safeguard Students and Employees Brian K. Kooy Georgia State University, [email protected] Sarah King Steiner Georgia State University, [email protected] Follow this and additional works at: https://scholarworks.gsu.edu/univ_lib_facpub Part of the Library and Information Science Commons Recommended Citation Kooy, B. & Steiner, K. (2010). Protection, not barriers: Using social software policies to guide and safeguard students and employees. Reference & User Services Quarterly, 50(1), 59-71. doi: 10.5860/ rusq.50n1 This Article is brought to you for free and open access by the Georgia State University Library at ScholarWorks @ Georgia State University. It has been accepted for inclusion in University Library Faculty Publications by an authorized administrator of ScholarWorks @ Georgia State University. For more information, please contact [email protected]. FeAture Protection, not Barriers Using Social Software Policies to Guide and Safeguard Students and Employees Academic librarians have been using social outreach to include online spaces as Brian k. kooy and software and networking sites for public well. One area in which librarians are Sarah k. Steiner services since they appeared on the Inter- providing online outreach is through net. While issues of privacy, identity man- the use of social software and social Brian K. Kooy is Philosophy, Religious agement, and self-disclosure when using networking websites such as Facebook Studies, and Middle East Studies such technologies have been written about, and MySpace. Even most library blogs Librarian and Sarah K. -
The (R)Evolution of Social Media in Software Engineering
The (R)Evolution of Social Media in Software Engineering Margaret-Anne Storey Leif Singer Brendan Cleary University of Victoria University of Victoria University of Victoria Victoria, BC, Canada Victoria, BC, Canada Victoria, BC, Canada [email protected] [email protected] [email protected] Fernando Figueira Filho Alexey Zagalsky Universidade Federal do Rio University of Victoria Grande do Norte, Natal, Brazil Victoria, BC, Canada [email protected] [email protected] ABSTRACT 1. INTRODUCTION Software developers rely on media to communicate, learn, A few years after the term \software engineering" was collaborate, and coordinate with others. Recently, social coined at a 1968 NATO conference [49], Weinberg media has dramatically changed the landscape of software published his acclaimed book on the \Psychology of engineering, challenging some old assumptions about how Computer Programming." [78] Weinberg emphasizes that developers learn and work with one another. We see the although programming is an activity that can be rise of the social programmer who actively participates in performed alone, it relies on extensive social activities as online communities and openly contributes to the creation developers will often have to ask others for help. of a large body of crowdsourced socio-technical content. The need to collaborate and interact with others has In this paper, we examine the past, present, and future only increased over time. Even solitary developers need to roles of social media in software engineering. We provide a interact directly or indirectly with others to learn, to review of research that examines the use of different media understand requirements and to seek feedback on their channels in software engineering from 1968 to the present creations. -
Social Software
social software Everyone’s an Author: Wikis and Blogs Wikis and blogs are two kinds of social software that are centered on authorship. Wikis allow some groups of people (ranging from a limited set of members to anyone with access to the web) to edit the web pages that make up a website. They also provide ways to discuss the pages as a separate process from altering them, and ways to compare different versions of the page over time. Wikis are especially useful for collaborative writing and knowledge sharing, with Wikipedia (www.wikipedia. org) being one of the best known examples. For local examples of wikis, check out http://wiki.williams.edu (an official college wiki) and http://wso.williams.edu/wiki/ index.php/Main_Page (a student run wiki about all things Williams). A number of Blackboard courses also use wikis as a framework for student collaboration. With wikis, the content organization is arbitrary (but usually topical and hierarchical) and it’s owned by the entire community; every member of the community has as much right to alter the content as any other member (though practically speaking there’s usually a core group of the most active members which act as moderators). Blogs are a way for one or more authors to publish things organized primarily by time, and for the readers and author to discuss what’s posted. People read and write blogs for a variety of reasons, ranging from keeping in touch with far flung friends, to learning and talking about particular subjects, to keeping up on the cutting edge of news. -
Arxiv:1403.5206V2 [Cs.SI] 30 Jul 2014
What is Tumblr: A Statistical Overview and Comparison Yi Chang‡, Lei Tang§, Yoshiyuki Inagaki† and Yan Liu‡ † Yahoo Labs, Sunnyvale, CA 94089, USA § @WalmartLabs, San Bruno, CA 94066, USA ‡ University of Southern California, Los Angeles, CA 90089 [email protected],[email protected], [email protected],[email protected] Abstract Traditional blogging sites, such as Blogspot6 and Living- Social7, have high quality content but little social interac- Tumblr, as one of the most popular microblogging platforms, tions. Nardi et al. (Nardi et al. 2004) investigated blogging has gained momentum recently. It is reported to have 166.4 as a form of personal communication and expression, and millions of users and 73.4 billions of posts by January 2014. showed that the vast majority of blog posts are written by While many articles about Tumblr have been published in ordinarypeople with a small audience. On the contrary, pop- major press, there is not much scholar work so far. In this pa- 8 per, we provide some pioneer analysis on Tumblr from a va- ular social networking sites like Facebook , have richer so- riety of aspects. We study the social network structure among cial interactions, but lower quality content comparing with Tumblr users, analyze its user generated content, and describe blogosphere. Since most social interactions are either un- reblogging patterns to analyze its user behavior. We aim to published or less meaningful for the majority of public audi- provide a comprehensive statistical overview of Tumblr and ence, it is natural for Facebook users to form different com- compare it with other popular social services, including blo- munities or social circles. -
Who Is Doing Computational Social Science? Trends in Big Data Research
A SAGE White Paper Who Is Doing Computational Social Science? Trends in Big Data Research Katie Metzler Publisher for SAGE Research Methods, SAGE Publishing David A. Kim Stanford University, Department of Emergency Medicine Nick Allum Professor of Sociology and Research Methodology, University of Essex Angella Denman University of Essex www.sagepublishing.com Contents Overview ........................................................................................................................1 What Have We Learned About Those Doing Big Data Research? .....................................1 What Have We Learned About Those Who Want to Engage in Big Data Research in the Future? ...................................................................................1 What Have We Learned About Those Teaching Research Methods? .................................2 Methodology .................................................................................................................2 Analysis .........................................................................................................................2 Challenges Facing Big Data Researchers in the Social Sciences ....................................11 Challenges Facing Educators ............................................................................................16 Barriers to Entry ................................................................................................................16 Conclusion ..................................................................................................................17 -
Social Network Analysis with Content and Graphs
SOCIAL NETWORK ANALYSIS WITH CONTENT AND GRAPHS Social Network Analysis with Content and Graphs William M. Campbell, Charlie K. Dagli, and Clifford J. Weinstein Social network analysis has undergone a As a consequence of changing economic renaissance with the ubiquity and quantity of » and social realities, the increased availability of large-scale, real-world sociographic data content from social media, web pages, and has ushered in a new era of research and sensors. This content is a rich data source for development in social network analysis. The quantity of constructing and analyzing social networks, but content-based data created every day by traditional and social media, sensors, and mobile devices provides great its enormity and unstructured nature also present opportunities and unique challenges for the automatic multiple challenges. Work at Lincoln Laboratory analysis, prediction, and summarization in the era of what is addressing the problems in constructing has been dubbed “Big Data.” Lincoln Laboratory has been networks from unstructured data, analyzing the investigating approaches for computational social network analysis that focus on three areas: constructing social net- community structure of a network, and inferring works, analyzing the structure and dynamics of a com- information from networks. Graph analytics munity, and developing inferences from social networks. have proven to be valuable tools in solving these Network construction from general, real-world data presents several unexpected challenges owing to the data challenges. Through the use of these tools, domains themselves, e.g., information extraction and pre- Laboratory researchers have achieved promising processing, and to the data structures used for knowledge results on real-world data. -
Social Software: E-Learning Beyond Learning Management Systems
Social software: E-learning beyond learning management systems Christian Dalsgaard [[email protected]] Institute of Information and Media Studies University of Aarhus Helsingforsgade 14, 8200 Aarhus N, Denmark [http://www.imv.au.dk] Introduction Whether focusing on distance education or campus based education, universities all over the world are using learning management systems (LMS) to support and improve learning within their institution. Yet the OECD (2005) report "E-learning in Tertiary Education: Where do we stand?" indicates that universities primarily use LMS for administrative purposes, and that LMS so far have had a limited impact on pedagogy: "ICT has penetrated tertiary education, but has had more impact on administrative services (e.g. admissions, registration, fee payment, purchasing) than on the pedagogic fundamentals of the classroom." (OECD, 2005, p. 15) This article will discuss the use of centralized and integrated LMS and argue that they, within a framework of a social constructivist pedagogy, should play only a minor role within organization of e-learning. It is argued that social software tools can support a social constructivist approach to e- learning by providing students with personal tools and engaging them in social networks. Using social software in this way requires that organization of e-learning moves beyond centralized and integrated LMS and towards a variety of separate tools which are used and managed by the students in relation to their self-governed work. It is argued that social software tools enable a different way of using the web within an educational context. The article discusses how social software can be used to support a social constructivist approach to e-learning, or more specifically, how social software can support self-governed, problem-based and collaborative activities.