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SCSM Tables of Contents: 1415

SCSM 2015: 7th International Conference on Social Computing and Social Media

Fullname:SCSM 2015: 7th International Conference on Social Computing and Social Media
Note:Volume 14 of HCI International 2015 Formerly OCSC: Online Communities and Social Computing
Editors:Gabriele Meiselwitz
Location:Los Angeles, California
Dates:2015-Aug-02 to 2015-Aug-07
Publisher:Springer International Publishing
Series:Lecture Notes in Computer Science 9182
Standard No:DOI: 10.1007/978-3-319-20367-6 hcibib: SCSM15; ISBN: 978-3-319-20366-9 (print), 978-3-319-20367-6 (online)
Links:Online Proceedings | Conference Website
  1. Designing Social Media
  2. Social Network Analysis
  3. Individual and Group Behaviour in Social Media

Designing Social Media

Utilizing Virtual Worlds for Personalized Search: Developing the PAsSIVE Framework BIBAKFull-Text 3-11
  James Braman; Charles Dierbach
Search engine technology has greatly enhanced our ability to filter through the chaos of finding relevant information online. Despite the current capabilities, however, there is the promise of further improvement through the use of personalization and alternative interfaces. In this paper we examine one such alternative named PAsSIVE (Personalized Assisted Search in a Virtual Environment). PAsSIVE immerses the user in the virtual world of Second Life in which results are rendered. As part of this research, we investigate the design and development of a 3D search interface, and reflect on insights gained. This paper also discusses future work related to personalization and proactive search.
Keywords: Virtual worlds; Personalized search; Second life; PAsSIVE
Enabling Continuous Emotional Status Display in Mobile Text Chat BIBAFull-Text 12-19
  Jackson Feijó Filho; Wilson Prata; Thiago Valle
Nonverbal communication is essential to human interaction. All this information is absent in mobile text conversations. This work describes an effort to extend text chat in mobile devices by continuously displaying emotional status and inserting automatically detected facial expression responses, such as a smile, to conversations. Acknowledged related work, regarding the examination of non-verbal communication through text messaging are considered and distinguished from the present solution. The implementation of a mobile phone application with the debated feature is described and user studies are reported. Context of application, conclusions and future works are also discussed.
3D Virtual Worlds: An Ethnography of Key Artifacts and Processes BIBAFull-Text 20-29
  Nick V. Flor
The development of an educational 3D virtual world requires a complex skillset, which includes programming, modeling, texturing, animating, and quest/level designing. When these skills are distributed across multiple workers, the workers must negotiate a shared understanding of their intermediate work products, which ultimately culminate in the virtual world. This paper is an ethnography of the intermediate work products ("artifacts") and processes used in the development of Virtual Energy World -- a 3D virtual world for instruction on sustainable energy issues. The resulting artifacts and processes have utility as a general development framework for both educational virtual worlds and video games.
Text-Mining of Hand-Over Notes for Care-Workers in Real Operation BIBAKFull-Text 30-38
  Ken Fukuda; Kentaro Watanabe; Tomohiro Fukuhara; Masahiro Hamasaki; Ryoji Fujii; Miharu Horita; Takuichi Nishimura
Hand-over note in elderly care facilities is a very important media for the employees to share information about non-routine task procedures in the daily operation. Reviewing these memos regularly will help the facility find potential risk factors and inefficiency in routine protocols. However, hand-over notes are typically hand-written memos and conducting periodical review is not easy for an average employee with heavy workload. To capture this field community intelligence, we have conducted text-mining on hand-over text. This paper describes results of hand-over note text-mining cases that lead to employee driven re-design of service processes for better care service.
Keywords: Nursing-care service; Text-mining; Data-mining; Employee driven innovation
Talking Circles: Spiritual Aid for Teenagers Through Social Media BIBAKFull-Text 39-47
  Markandeya Kunchi; Shubhi Shrivastava
Social media has covered, conquered and affected almost all the aspects of our lives especially those of the teenagers and youngsters. There is still a space, which has not been affected by social media to a great extent and is yet to be explored. This paper reflects the deep study of integration of two entirely different worlds; social media of the 21th century and the evergreen and serene world of spirituality. It attempts to address the problems faced by teenagers and how they can be solved with the science, logic and approachability of spirituality with the help of social media acting as a mediator and catalyst to bridge the gap. At a conceptual level this paper defines, characterises and elaborates on a concept called "Talking Circles" where social media, spirituality and teenagers stand on a common stage and how each one can be modified, transformed and made adaptive to the current situation.
Keywords: Social media; Spirituality; Teenagers; Collaboration; Co-creation; Therapy; Guidance; Express; Journey; Problem solving
Social Media Participation: A Narrative Way to Help Urban Planners BIBAKFull-Text 48-54
  Erick López-Ornelas; Nora Morales Zaragoza
Social Media Participation can be very important when you have to make an important decision about a topic related to urban planning. Textual analysis to identify the sentiment about a topic or, a user analysis to identify the actors involved on a discussion, can be very important for the persons or institutions that have to take an important decision. In this paper we analyze the case study of the #nuevoaeropuerto in Mexico City to highlight the importance of conducting a study of this nature.
Keywords: Twitter; Social media participation; Urban planning; Sentiment analysis; Users analysis; Textual analysis
Using Information Visualization Techniques to Improve the Perception of the Organizations' Image on Social Networks BIBAKFull-Text 55-66
  Isabel H. Manssour; Milene S. Silveira; Caroline Q. Santos; Adolf J. Freitas; Flávio T. Schirmer
Nowadays it is notorious the growth and the popularity of social networks such as Facebook, LinkedIn and Twitter, especially with the facilities provided by the use of mobile devices. Considering these social networks, Twitter has a different approach: a friendship connection doesn't need to exist and a person can follow another person or organization just to receive its tweets. So, this social network is often used as a way to get general or specific news and to express (dis)satisfaction about products, politics, organizations, etc. Considering this, the need for organizations to monitor what people are "saying" about them has arisen. Thus, the main goal of this work is to understand how information visualization techniques can support and improve the analysis of the perceived image of organizations on social networks. For this, we developed an application prototype to support sentiment analyses on Twitter and we conducted a study on how this prototype, called MentionStats, can contribute to the company's image analysis on Twitter. This study consisted on interviews with professionals about their perceptions of the MentionStats and its visualizations. Our main contribution are the presented possibilities of using information visualization techniques in order to help users to deepen the analysis of their organizations image on social networks, and also users' impressions about this.
Keywords: Data visualization; Social networks; Sentiment analysis
Designing a Social Mobile Platform for Diabetes Self-management: A Theory-Driven Perspective BIBAKFull-Text 67-77
  Hoang D. Nguyen; Xinyi Jiang; Danny Chiang Choon Poo
Diabetes mellitus (DM) is increasingly being accepted as a lifelong public health problem with profound consequences on the worldwide healthcare system. Self-management, therefore, has been long suggested as an integral solution of diabetes treatment [1] which requires patients to adopt strained lifestyle modifications (e.g., balancing diets and frequent monitoring of blood glucose) [2, 3]. With the proliferation of smart devices, this study proposes a theoretical framework as an important guideline for designing and prototyping a life-changing mobile platform for a next-generation diabetes self-management. It revolutionises the interaction between patients and their smart phone with a high degree of media richness and social connectivity for better health management success.
Keywords: Diabetes mellitus; Self-management; mHealth; Social support; Social presence
Providing ICT Support to Promote Communities' Emotional Balance BIBAKFull-Text 78-88
  Rener Baffa da Silva; Junia Coutinho Anacleto
This paper presents a study on how hierarchical communities can emotionally balance themselves and how this process happens. For that we've created Emotifeed, an ICT tool to provide staff decision made information, allowing them to give emotional feedback. The communication inside organizations and communities are quickly changing for a more organic and flexible structure and emotions play an important role in this scenario. However the knowledge about the emotional world of communities and organizations is still very short. Aiming to contribute in this scenario, we developed EmotiFeed using a public display to support the communication in a community and collect emotional feedback. The footage analysis showed that the EmotiFeed promoted the emotional balance in the community and showed that the tendency is it runs in the direction of the "Neutral" emotion.
Keywords: Organizations; Emotifeed; Emotional feedback; Emotional balance; Responsiveness
User Modeling on Social Media for Art Museums and Galleries BIBAKFull-Text 89-95
  Kingkarn Sookhanaphibarn; Utaiwan Chatuporn; Kodchakorn Na Nakornphanom
This paper shows the results of studying relevant factors for expanding an experience of museum visitors by using social media technology. The constructed questionnaire was used as a tool to elicit the opinion of members in the Facebook fan page of Southeast Asian Ceramics Museum, Bangkok University, Thailand. In this study, there were 222 respondents whose occupations were related to either arts and cultures (42.79%), and not related to (57.21%). The results indicated that the perceived usefulness of technology factors and perceived ease of use to technology were related to the expansion of museum visitors experience with social media applications at statistically significant level of 0.01.
Keywords: Technology Acceptance Model (TAM); Adoption computer technology; Digital museum; User experience; Facebook
Social Media and Higher Education: A Literature Review BIBAKFull-Text 96-104
  Yuanqiong Wang; Gabriele Meiselwitz
This paper presents a literature review of empirical research related to the use and effects of social media in higher education settings. The adoption of social media has been steadily increasing. However, a majority of the research reported focuses on students' perception on the effects of social media in learning. The research on the effects of social media on student learning and faculty perspectives are still limited. This literature review focused on the empirical studies that involved the use of social media in higher education in the computing field. Recommendations for future research directions were presented as the result of this literature review.
Keywords: Social media; Higher education; Student learning; Faculty

Social Network Analysis

An Analytic Study on Private SNS for Bonding Social Networking BIBAKFull-Text 107-117
  Hyeonjung Ahn; Sangwon Lee
In recent years, SNS (Social Network Service) has become one of the most effective communication tools for people. For instance, 'Facebook' contributes to the phenomenon, and various studies have already been made about the public SNS. However, public SNSs have some problems including privacy issues and information overload while being useful for connecting individuals. In short, the function of public SNSs may not be sufficient for bonding human relationships or protecting privacy. In contrast, private SNS has different functional features which compensate the defects of public SNS and promote bonding relationship with fewer people. Considering the increasing domestic popularity of private SNS domestically, this study conducted a comparative analysis of 12 typical private SNSs to find out common features of private SNSs by comparing them with the features of public SNSs. Specifically, we mainly referred to the honeycomb model of social media to serve the objective of our study. Finally, we analyze one private SNS called 'Band' based on the key traits of private SNS and make a suggestion to improve the current service. The present study may provide a theoretical standard about private SNSs for innovating SNSs that are under overcrowded condition and we can also judge whether the factors are in accordance with user's needs well in our future study.
Keywords: Private SNS; Public SNS; Social capital; Bonding relationship; Bridging relationship
Simulation-Based Prediction and Analysis of Collective Emotional States BIBAKFull-Text 118-126
  Charlotte Gerritsen; Ward R. J. van Breda
The emergence of aggressive behaviour in crowds is not uncommon and is typically unpredictable and difficult to control. Since the availability of guardians for the prevention of aggression is typically limited, it would be useful if the emergence of unwanted behaviour could somehow be predicted. This paper presents a novel approach to predict the emergence of aggressive behaviour in crowds, based on a combination of sentiment analysis and agent-based simulation. The main idea is to use information from social media (in particular Twitter), analyse the sentiment of the messages and feed the resulting sentiments into a simulation model of social contagion. Based on these simulations, the system should be able to predict when and where unwanted behaviour will occur.
Keywords: Social media; Sentiment analysis; Crime prevention; Prediction; Agent-based modelling; Emotions; Social contagion
Analysing Yammer Usage Pattern in the Context of Social Collaborative Activity Performance by Knowledge Workers BIBAFull-Text 127-137
  Jordan Hall; Bee Bee Chua
This study investigates the impact and trend of the Yammer utilisation pattern by multi-generational knowledge workers employed in the risk service department of a multi-national enterprise. In contrast to the existing literature, our results highlight the experiences between the different levels of management in their adoption of a new technology. In our study, senior management used Yammer for post creation more frequently than did the junior management. Furthermore, the more senior the employee was, the higher the chance he or she would access Yammer. Senior management was less concerned about Yammer's usability and functionality compared to junior management. The Yammer usage rate may increase if the tool is well integrated with other in-house compatible tools. Finally, workers may benefit from high-quality coaching about Yammer's benefits and values.
Ensemble Selection for Community Detection in Complex Networks BIBAKFull-Text 138-147
  Rushed Kanawati
Ensemble clustering approaches have been recently applied, in a variety of ways, in order to enhance the quality and/or the execution time of community detection tasks. The quality gain that can be obtained from applying ensemble approaches is known to be tightly linked to both quality and diversity of the applied clusterings. However, most of existing work simply ignore this important issue of ensemble selection. In this paper we intend to fill this gap. We propose a graph-based ensemble selection approach that allow to take into account both criteria of quality and diversity. Different quality measures are also considered: cluster-oriented quality and network-oriented quality functions. Experiments on real network datasets show the validity of our approach.
Keywords: Community detection; Complex networks; Ensemble clustering; Ensemble selection
Analysis of Online Social Networks Posts to Investigate Suspects Using SEMCON BIBAKFull-Text 148-157
  Zenun Kastrati; Ali Shariq Imran; Sule Yildirim-Yayilgan; Fisnik Dalipi
Analysing users' behaviour and social activity for investigating suspects is an area of great interest nowadays, particularly investigating the activities of users on Online Social Networks (OSNs) for crimes. The criminal activity analysis provides a useful source of information for law enforcement and intelligence agencies across the globe. Current approaches dealing with the social criminal activity analysis mainly rely on the contextual analysis of data using only co-occurrence of terms appearing in a document to find the relationship between criminal activities in a network. In this paper, we propose a model for automated social network analysis in order to assist law enforcement and intelligence agencies to predict whether a user is a possible suspect or not. The model uses web crawlers suited to retrieve users' data such as posts, feeds, comments, etc., and exploits them semantically and contextually using an ontology enhancement objective metric SEMCON. The output of the model is a probability value of a user being a suspect which is computed by finding the similarity between the terms obtained from the SEMCON and the concepts of criminal ontology. An experiment on analysing the public information of 20 Facebook users is conducted to evaluate the proposed model.
Keywords: Ontology; Online social networks; Facebook; SEMCON
Language-Independent Sentiment Analysis with Surrounding Context Extension BIBAKFull-Text 158-168
  Tomáš Kincl; Michal Novák; Jirí Pribil; Pavel Štrach
Expressing attitudes and opinions towards various entities (i.e. products, companies, people and events) has become pervasive with the recent proliferation of social media. Monitoring of what customers think is a key task for marketing research and opinion surveys, while measuring customers' preferences or media monitoring have become a fundamental part of corporate activities. Most experiments on automated sentiment analysis focus on major languages (English, but also Chinese); minor or morphologically rich languages are addressed rather sparsely. Moreover, to improve the performance of machine-learning based classifiers, the models are often complemented with language-dependent components (i.e. sentiment lexicons). Such combined approaches provide a high level of accuracy but are limited to a single language or a single thematic domain.
   This paper aims to contribute to this field and introduces an experiment utilizing a language- and domain-independent model for sentiment analysis. The model has been previously tested on multiple corpora, providing a trade-off between generality and the classification performance of the model. In this paper, we suggest a further extension of the model utilizing the surrounding context of the classified documents.
Keywords: Sentiment analysis; Cross-domain; Cross-language; Document surrounding context
Hashtag Popularity on Twitter: Analyzing Co-occurrence of Multiple Hashtags BIBAKFull-Text 169-182
  Nargis Pervin; Tuan Quang Phan; Anindya Datta; Hideaki Takeda; Fujio Toriumi
Hashtags increase the reachability of a tweet to manifolds and consequently, has the potential to create a wider market for brands. The frequent use of a hashtag features it in the Twitter trending list. In this study we want to understand what contributes to the popularity of a hashtag. Further, hashtags generally come in groups in a tweet. In fact, an investigation on a real world dataset of Great Eastern Japan Earthquake reveals that 50% of hashtags appear in a tweet with at least another hashtag. How this co-occurrence of hashtags affects its popularity is also not addressed heretofore, which is the focus herein. Results indicate that if a hashtag appears with one or more other similar hashtags, popularity of the hashtag increases. In contrast, if a hashtag appears with dissimilar hashtags, popularity of the focal hashtag decreases. The results reverse when dissimilar hashtags come along with a URL.
Keywords: Twitter; Hashtag; Hashtag co-occurrence; Metacognitive experience

Individual and Group Behaviour in Social Media

It's Not About the Risks, I'm just Used to Doing It: Disclosure of Personal Information on Facebook Among Adolescent Dutch Users BIBAKFull-Text 185-195
  Ardion D. Beldad; Ruud Koehorst
A paper-based survey was conducted with 560 students of a high school in the eastern part of the Netherlands to determine the factors influencing their personal information disclosure behavior on Facebook. Results of the path analysis reveal that habits and perceived control strongly predict information disclosure of research respondents. Furthermore, information-related benefits also contribute to disclosure among adolescent Dutch Facebook users. Moreover, perceived control positively influences respondents' trust (in Facebook and in their network members).
Keywords: Personal information disclosure; Habit; Perceived control; Trust
Interaction Study of Shuriken: User Grouping and Data Transfer Based on Inter-device Relative Positioning BIBAFull-Text 196-206
  Jonathan Chung; Adiyan Mujibiya
We present Shuriken, a method for user grouping and data transfer for smart devices that are in close proximity. Users point their devices towards each other to link them into a group (point to link). The relative positions are estimated between the grouped devices (link to group) with Bluetooth low energy received signal strength indication and the digital compass readings. The relative positions are then used for identifying the recipients for data transfer by swiping towards the physical direction (swipe to send). In this paper, we studied the possible operations to enable: point to link, link to group and swipe to send and compared Shuriken to existing techniques for user grouping and data transfer. We envision practical uses of Shuriken in collaborative shopping in a café, data transfer in business meetings and localisation of smart devices.
Are Social Media Useful for Managing Reputation Online?: Comparing User Interactions Online with Reputation Indicators BIBAKFull-Text 207-215
  Jasmine Yoo Jung Hong; Jang Hyun Kim
Reputation is a growing concern to all organizations, regardless of their size or industry. Recently, social networking sites (SNS) such as Facebook have become effective and efficient channels for an organization to build relationships with various publics, which is fundamental for reputation management. Applying the dialogic communication theory and the halo effect, the present study seeks to explore whether there is a significant relationship between a company's reputation and the level of interaction on the respective company's Facebook page (measured by the number of page 'likes', number of wall comments and commented comments by both the companies and users). This study used a social network analysis tool called NodeXL to gather data on Facebook. Results from the present study provide practical implications regarding online reputation management for organizations.
Keywords: Reputation management; Social networking sites (SNS); Facebook; Halo effect; Dialogic communication
Investigating Usability and User Experience from the User Postings in Social Systems BIBAKFull-Text 216-228
  Marília S. Mendes; Elizabeth Furtado; Vasco Furtado; Miguel F. de Castro
Social Systems (SS) are dynamic systems, with features such as: frequent exchange of messages and expression of feelings spontaneously. The postings of users on SS reveal their opinions on various issues, including on what they think of the system. In this study, we classified postings of users from two SS of different contexts: a popular SS (entertainment) - Twitter and an academic SS of a university -- forums, to investigate information related to usability and user experience (UX) of such systems. Results showed they are useful to (i) obtain user's sentiments about the system; (ii) to identify possible problems during their experience and (iii) to perceive from the set of classified postings the context of use of the system.
Keywords: Human computer interaction; User experience; Usability; Social systems; Postings related to the use (PRUs)
A Computational Study of How and Why reddit.com was an Effective Platform in the Campaign Against SOPA BIBAKFull-Text 229-241
  Richard Mills; Adam Fish
In this paper, we analyze the posting and voting activities of reddit's users and show how these interact with the site's structure to create an environment where information activists could build a resource base to oppose the 2012 US House of Representatives bill, Stop Online Privacy Act (SOPA). The broadcasting function of the 'Front Page' was important in raising awareness of SOPA among reddit's users. Broadcasting the outcomes of collective voting back to the voters establishes an attentional feedback loop, and this imbued the collective action which followed with certain characteristics. Continuing a longitudinal investigation into changes in the ways that user attention and activity is distributed between the site's 240,000 'subreddits', we conclude by theorizing whether such collective action will be possible on the reddit of the present.
Keywords: Reddit; Social News; Public sphere; SOPA
Inter-Social-Networking: Accounting for Multiple Identities BIBAKFull-Text 242-252
  Dominic Price; Derek McAuley; Richard Mortier; Chris Greenhalgh; Michael Brown; Spyros Angelopoulos
We argue that the current approaches to online social networking give rise to numerous challenges regarding the management of the multiple facets of people's digital identities within and around social networking sites (SNS). We propose an architecture for enabling people to better manage their SNS identities that is informed by the way the core Internet protocols developed to support interoperation of proprietary network protocols, and based on the idea of Separation of Concerns [1]. This does not require modification of existing services but is predicated on providing a connecting layer over them, both as a mechanism to address problems of privacy and identity, and to create opportunities to open up online social networking to a much richer set of possible interactions and applications.
Keywords: Social-networking; Privacy; Identity; Infrastructure; Architecture
Identifying Collaboration Strategies in Scientific Collaboration Networks BIBAKFull-Text 253-264
  Maria Lúcia Bento Villela; Simone Xavier; Raquel Oliveira Prates
A number of virtual networks, called Scientific Collaboration Networks (SCNs) have been increasingly adopted as means to connect researchers around the world. In this article we have analyzed how the SCNs ResearchGate and Academia.edu support collaboration between researchers, through an analysis of their interface and contrast with the general purpose online social network (OSN) Facebook. The analysis of these systems allowed us to identify four categories through which network members collaborate: information sharing, interaction levels, communities and artifacts. Although the categories are the same for SCNs and OSNs, the strategies adopted in each context are different. We discussed how these strategies, which can be used to support design and evaluation of SCNs, are used to foster collaboration among researchers in these systems.
Keywords: Scientific Collaboration Networks; Social networks; Semiotic engineering; Semiotic Inspection Method; Communicability evaluation