This study explores how people perceive the potential utility of trustworthiness indicators and how willing they are to consider contributing to them as a way to combat the problem of misinformation and disinformation on social media. Analysis of qualitative and quantitative data from the survey (N=376) indicates that a majority of respondents believe trustworthiness indicators would be valuable as they can reduce uncertainty and provide guidance on how to interact with content. However, perceptions of how and when these indicators can provide value vary widely in detail. A majority of respondents are also willing to contribute to trustworthiness indicators on social media to some extent due to their sense of duty and personal expertise in information verification practices but are very wary of the effort or burden it would place on them. Respondents who did not want to use or contribute to trustworthiness indicators attributed it to their lack of faith in the concept of trustworthiness indicators stemming from perceived inherent and unsurmountable biases on social media. Together our findings highlight the complexity of designing, structuring and presenting trustworthiness indicators keeping in mind the diverse set of user attitudes and perceptions.

In HCI research, non-use of systems, especially involuntary loss of use, is a relatively neglected topic. How do people perceive the impacts on their lives should the Internet go out for an extended period of time? Would it be a minor inconvenience or Armageddon? We took a Futures Studies approach to conduct a conceptualized future, scenario-based study with 754 responses to a survey of mostly students at three universities and used framing theory to help explicate the findings from qualitative data analysis. Our data show that most respondents do believe a long-term complete Internet outage is possible; however, perceptions in terms of what the impacts would be range widely. Most participants employ an egocentric frame to understand the impacts in terms of changes in their personal relationships and activities, with both gains and losses envisioned. A minority frame their visions in terms of the societal level, with severe infrastructure problems resulting. This paper is the first to explore perceptions of the potential impacts of an Internet outage and provide implications for preparedness and design.

There is a rise in the interest among researchers to understand how addiction to social networking sites (SNSs) influences the use of SNS for information sharing. Much less attention has been placed on the interactive effect of multiple addictions (i.e., cross-addiction) on information sharing behaviors on SNSs. In this study, we examine the interaction effect of SNS addiction and alcohol use on two characteristic sharing behaviors on SNSs, self-promotion, and peer promotion of alcohol use. This study contributes to theory and practice as it builds a model that integrates social cognitive theory and normative social influence to explain mechanisms through which cross-addiction shapes information sharing behaviors on SNSs. The proposed model is estimated using data from a sample of college students in a North American university. The results support the theorized relationships between cross-addiction and SNS use to promote addiction-related activities. Implications of the findings for theory and practice are discussed.

This paper explores the ways in which users give up as well as revert back to using social media based on the analysis of qualitative data from 680 respondents to a survey (N=1072). By focusing on the motivations rather than any particular social media platform, we were able to uncover reasons for voluntary non-use and reversion when users have a choice of several social media platforms. Our findings provide an ecological view of social media non-use and reversion highlighting that 1) previous findings of social media non-use and reversion reported on a single social media platform (e.g. Facebook, Twitter) are seen across several other platforms too; 2) access to multiple social media platforms in itself readily leads to non-use of one platform in favor of the use of another for reasons such as lack of differentiation and/or richness of features, device constraints of storage/ memory space or operating system support, perceptions of fading popularity, and availability of "a new kid on the block;" 3) findings of non-use and reversion practices and motivations that were seemingly incongruent between previous studies of different or same social media platforms tend to coalesce when we take a wider look at the social media landscape. By adopting the theoretical lens of cognitive biases in decision-making we were able to explain why users quit but decide to revert to using again in the environment of various positive and negative experiences on a particular platform, and to reconcile the seemingly paradoxical reasons for social media non-use and reversion.

Although social media (SM) can be very useful for emergency managers (EMs), especially for providing situational awareness in the early stages of a disaster, many do not use it. This study is based on 477 responses to an online survey of U.S. county-level EMs. The two most important barriers to the use of SM for collecting information are lack of staff and fears of information overload. A number of potential software enhancements that could help overcome the limitations of SM for EMs were all rated as highly useful. Factor analyses were successfully performed on the sets of questions about barriers and about software enhancements. The barrier of trustworthiness of SM data was a significant predictor of usefulness of some of the enhancement factors. Differences related to characteristics of the respondents and their agencies are explored, and open-ended comments that help to explain the findings are summarized.

Social media is gaining more and more importance in crisis management: “Social media continue to evolve, and so does their use in emergency and crisis events” (Reuter, Hughes, & Kaufhold, 2018). Re...

Mobile social matching systems aim to bring people together in the physical world by recommending people nearby to each other. Going beyond simple similarity and proximity matching mechanisms, we explore a proposed framework of relational, social and personal context as predictors of match opportunities to map out the design space of opportunistic social matching systems. We contribute insights gained from a study combining Experience Sampling Method (ESM) with 85 students of a U.S. university and interviews with 15 of these participants. A generalized linear mixed model analysis (n=1704) showed that personal context (mood and busyness) as well as sociability of others nearby are the strongest predictors of contextual match interest. Participant interviews suggest operationalizing relational context using social network rarity and discoverable rarity, and incorporating skill level and learning/teaching needs for activity partnering. Based on these findings we propose passive context-awareness for opportunistic social matching.

This article describes an experimental study that examines the extent to which a group decision support system (GDSS), which allows team members to view other members' preference ratings, can encourage changes in individual preferences. We studied 22, four‐person teams performing 2 hidden profile tasks—simple and complex—in a controlled setting. Transparency of the interactions, achieved through the visibility of ratings, influenced changes in participants' preferences as measured before, during and after the team discussion. Visibility of team scores could then offer an effective way to reach consensus, despite individual incumbent preferences. Changes between individuals' initial preferences and team preferences were found to be larger for members working on a complex task compared to a simple task, as were changes between individuals' prediscussion and postdiscussion preferences. Although prior studies established that the initial preferences of individual team members are rather sticky, this study reveals that individuals adjusted their initial preferences to reach a team consensus, as well as modified their preferences after team discussions. Despite the mixed earlier research results on the impact of GDSS on efficient decision making, findings from this study suggest that in complex decision‐making contexts, GDSS tools can be effective in enabling consensus building in groups.

Social matching systems recommend people to people. In an ideal world, such systems could be context-aware, in that they would introduce users to each other in situations where they are mutually interested, available and open to meeting (i.e., facilitate a valuable encounter). Unfortunately, today's systems primarily match individuals based on simple similarity and proximity metrics. This paper explores how contextual information available on today's mobile phones could be used to identify opportunities for people to make valuable new connections. Three types of context that are relevant for this work are: relational, social and personal. We present insights gained from several iterations of semi-structured interviewing (N=58) exploring these three types of contexts and propose novel context-aware social matching concepts such as: sociability of others as an indicator of opportune social context; activity involvement as an indicator of opportune personal context; and contextual rarity as an indicator of opportune relational context.

Mobile social matching systems have the potential to transform the way we make new social ties, but only if we are able to overcome the many challenges that exist as to how systems can utilize contextual data to recommend interesting and relevant people to users and facilitate valuable encounters between strangers. This article outlines how context and mobility influence people's motivations to meet new people and presents innovative design concepts for mediating mobile encounters through context-aware social matching systems. Findings from two studies are presented. The first, a survey study (n = 117) explored the concept of contextual rarity of shared user attributes as a measure to improve desirability in mobile social matches. The second, an interview study (n = 58) explored people's motivations to meet others in various contexts. From these studies we derived a set of novel context-aware social matching concepts, including contextual sociability and familiarity as an indicator of opportune social context; contextual engagement as an indicator of opportune personal context; and contextual rarity, oddity, and activity partnering as an indicator of opportune relational context. The findings of these studies establish the importance of different contextual factors and frame the design space of context-aware social matching systems.

Despite the importance of individuals coming together for social group-activities (e.g. pick-up volleyball, chess clubs), the process by which such groups coalesce is poorly understood. Existing theories focus on adoption and contribution rates, group types, and the formation of group norms, as opposed to the processes involved in initial group coalescence. We address this gap in the literature through an interview study examining: 1) how well people's needs for social group activity engagement are being met; 2) the challenges they face in finding and participating in, and; 3) leading interest-based group activities. Our findings highlight how people-s needs are not being addressed by current technologies. In particular, they place a heavy burden on individuals to step forward into leadership positions where the return they will receive for their efforts is often unknown, or extremely limited. We discuss the implications of our findings for the design of interest-based group coalescing technology.

introduction Share on Introduction: Social media and collaborative systems for crisis management Authors: Starr Roxanne Hiltz New Jersey Institute of Technology New Jersey Institute of TechnologyView Profile , Paloma Diaz Universidad Carlos III de Madrid Universidad Carlos III de MadridView Profile , Gloria Mark University of California, Irvine University of California, IrvineView Profile Authors Info & Claims ACM Transactions on Computer-Human InteractionVolume 18Issue 4Article No.: 18pp 1–6https://doi.org/10.1145/2063231.2063232Published:30 December 2011Publication History 49citation3,089DownloadsMetricsTotal Citations49Total Downloads3,089Last 12 Months86Last 6 weeks7 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

Information technology teams are often partially distributed teams (PDTs). A PDT consists of two or more subteams that are separated geographically. This articles describes research focused on the use of PDTs to engage students in “real world” IT team learning about the subject matter while also teaching them the skills they will need to work in global software development teams. Findings from a large-scale international study indicate that the introduction of training modules enhanced perceived learning of appropriate PDT teaming behaviors; students with training reported improved shared team identification, trust, awareness, coordination, competence, and conflict with respect to distant subteam members, and higher overall team performance.

Review of the literature suggests seven fundamental privacy challenges in the domain of ubiquitous social computing. To date, most research in this area has focused on the features associated with the revelation of personal location data. However, a more holistic view of privacy concerns that acknowledges these seven risks is required if we are to deploy privacy respecting next generation social computing applications. We highlight the threat associated with user inferences made possible by knowledge of the context and use of social ties. We also describe work in progress to both understand user perceptions and build a privacy sensitive urban enclave social computing system. 1.

introduction Share on Introduction to the special issue on information systems for an aging society Authors: Starr Roxanne Hiltz New Jersey Institute of Technology New Jersey Institute of TechnologyView Profile , Sara J. Czaja University of Miami Miller, School of Medicine University of Miami Miller, School of MedicineView Profile Authors Info & Claims ACM Transactions on Computer-Human InteractionVolume 13Issue 3September 2006 pp 309–312https://doi.org/10.1145/1183456.1183457Online:01 September 2006Publication History 4citation844DownloadsMetricsTotal Citations4Total Downloads844Last 12 Months4Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

This paper presents the results of a field experiment on online examinations facilitated by collaboration support systems. In particular, it examines collaborative learning and virtual teams through online examinations as an assessment procedure, compared to traditional examinations. Assessment is increasingly regarded as an important part of the learning process. Applying constructivism and collaborative-learning theories, the collaborative examination process features students' active participation in various phases of the exam process through small group activities online. A 1 times 3 field experiment evaluated the collaborative online exam compared with the traditional in-class exam, and the participatory exam, where students participated in the online exam processes without groups. Data analysis using results from 485 students indicates that collaborative examinations significantly enhance interactions and the sense of an online learning community and result in significantly higher levels of perceived learning

Most research applying Social Network Analysis (SNA) to online learning has been focused on understanding the social network of the class as an entity. This work, on the other hand, explores student specific analysis (i.e. analyzing each student individually). This student-centered analysis uses a graphical metaphor to provide the instructor an intuitive understanding of the student's interactions within the class. The paper presents a prototype of the visual metaphor and reports on a pilot study of the application of the prototype to students within a web-based course.

Goals and content: This tutorial will survey major efforts in asynchronous learing networks and will explore detailed examples of successful projects at teh college and K-12 levels. It will then consider a variety of practical issues including steps for putting classes on-line; how to function as an “electronic professor” how to handle logistical issues. The tutorial will conclude with a discussion of probable developments in the next ten years.

Software to support teaching and learning activities was added to a computer-mediated communication system to create a “Virtual Classroom.” Goals included improving access to and the effectiveness of college-level courses, particularly by facilitating collaborative learning. Process and outcomes were compared for sections of several courses taught in the traditional classroom, totally online, or in mixed mode. On the average, students report that the Virtual Classroom provides a better learning experience.

Computer-mediated communication systems represent a fairly new development in interactive computer systems.

Abstract The concept of the journal is reexamined in the light of current computer‐communications technology. Four forms of electronic journals on the Electronic Information Exchange System (EIES) are described as divergent examples of potential journal forms that could become prominent in the future. These are (1) an informal newsletter, (2) an unrefereed “Paper Fair, “ (3) a journal which replicates the traditional print‐based system, and (4) a highly structured inquiry‐response system. The economic imperatives which will force the replacement of current print‐based journals are reviewed. It is predicted that the next few decades will witness the emergence of networks of small computer systems dedicated to dispersed journal functions and under the control of the primary communities responsible for the creation of the information.

Most decision support systems use computers to support interaction between individuals and a structured model, analytic routine, or a database. However, many problems are unstructured or at best semistructured, and are dealt with by groups of managers within organizations. When dealing with nonroutine problems, the decision-making groups are often geographically and organizationally dispersed. Thus, a decision support system for these groups must include communications, structured to support the decision-making process among members of the group. This paper gives several examples of computerized conferencing systems (CCS's) which have served as group decision support systems (DSS's). In addition, the results of a controlled experiment comparing the process and outcome of group decision-making in a face-to-face versus a CCS mode are discussed. Finally, preliminary results are presented from a second controlled experiment which explored how a CCS may best be structured to serve as a group DSS for a specific type of managerial task.

As part of a field trial, the Electronic Information Exchange System (EIES) provided a variety of interfaces and user aids. Users were permitted to freely choose from the available variety at any time. They were then asked to report on their frequency of use of the various alternatives at two points in time. We found that there is no one style of interface or source of user support which will satisfy all users at any point in time, or even the same user as experience and familiarity with the system change. While their generalizability is unknown, our observations suggest that human helpers (user consultants on EIES) are the single most valued source of user support, and that system designers should consider incorporating an integrated and somewhat redundant system of both menus and commands into the interface.

Article Free AccessThe process of communication in face to face vs. computerized conferences: a controlled experiment using Bales Interaction Process Analysis Share on Authors: Starr Roxanne Hiltz Upsala College Upsala CollegeView Profile , Kenneth Johnson Upsala College Upsala CollegeView Profile , Ann Marie Rabke Upsala College Upsala CollegeView Profile Authors Info & Claims ACL '80: Proceedings of the 18th annual meeting on Association for Computational LinguisticsJune 1980 Pages 75–79https://doi.org/10.3115/981436.981460Published:19 June 1980 0citation391DownloadsMetricsTotal Citations0Total Downloads391Last 12 Months37Last 6 weeks18 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF