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                <text>“What Is Computer-Mediated Communication?”—An Introduction to the Special Issue</text>
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                <text>At a time when nearly all social activities could be, and likely are, mediated in some ways by some forms of computing technology, what should be the focus of CMC research? How do we theorize and study computer-mediated (or should we say digitally-mediated) communication when the topics of our research—the technology, the concepts and &#13;
 processes of mediation, our sense of what constitutes communication, as well as the theories and methods used to examine these—are all in flux? Early in the spring of 2018, the Journal of Computer-Mediated Communication invited scholars to submit ideas for a dedicated issue to consider these questions. The collection of meta-theoretical discussions, literature reviews/analyses, and concept explications included in this special issue will point to a general direction and offer a launching point for theory construction and systematic research in a continuously evolving field.</text>
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                <text>Mike Z. Yao &amp; Rich Ling</text>
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                <text>Sri Wahyuni</text>
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                <text>Source Interactivity, Machine Heuristic, Artificial Intelligence (AI), Algorithms, User Expe�rience, Human–AI Interaction (HAII), Theory of Interactive Media Effects (TIME )</text>
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                <text>Advances in personalization algorithms and other applications of machine learning have vastly enhanced the ease and convenience of our media and communication experiences, but they have also raised significant concerns about privacy, transparency of technologies and human control over their operations. Going forth, reconciling such tensions between machine agency and human agency will be important in the era of artificial intelligence (AI), as machines get more agentic and media experiences become increasingly determined by algorithms. Theory and research should be geared toward a deeper understanding of the human experience of algorithms in general and the psychology of Human–AI interaction (HAII) in particular. This article proposes some directions by applying the dual-process framework of the Theory of Interactive Media Effects (TIME) for studying the symbolic and enabling effects of the affordances of AI-driven media on user perceptions and experiences. </text>
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                <text>Journal of Computer-Mediated Communication 25 (2020)</text>
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                <text>Authenticity Model of (Mass-Oriented Computer-Mediated Communication: Conceptual Explorations and Testable Propositions </text>
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                <text>Authenticity, Computer-Mediated Communication (CMC), Credibility, Parasocial Interac�tion, Perceived Realism </text>
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                <text>While several major theories and models have emerged and guided research on computer-mediated communication (CMC) in the interpersonal context, equivalent theoretical development seems to be lacking in the study of mass-oriented CMC, despite a large volume of amassed research. This article aims to propose an integrative conceptual framework for the study of mass-oriented, including mass�personal CMC, with (perceived) authenticity as its core unifying construct. A range of theoretical constructs independently developed in various subdisciplines and pertinent research findings are reviewed in light of the authenticity of source, message, and interaction. Several testable propositions are derived concerning antecedents to and consequences of authenticity judgments, with a view to stimulating programmatic empirical investigations on the role of authenticity in CMC.</text>
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                <text>Eun-Ju Lee</text>
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                <text>Sri Wahyuni</text>
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                <text>Journal of Computer-Mediated Communication 25 (2020)</text>
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                <text>Computer-Mediated Communication in the Age of Communication Visibility</text>
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                <text>Visibility, Affordances, Sociomateriality, Invisibility, Social Media</text>
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                <text>This article argues that a distinctive aspect of computer-mediated communication (CMC) is the way it can make communication visible to others in ways that were previously impractical. We propose a theory of communication visibility that recognizes its multidimensional nature: resulting from activ�ities that make communication visible, efforts by actors to see communication, and a sociomaterial context that influences possibilities for visibility. The different dimensions of communication visibility are explored as they relate to possibilities for action with CMC, and the ability of third-parties&#13;
to view communication between others. Centering communication visibility in the study of CMC compels scholars to ask new questions regarding the interdependence of active, strategic efforts to&#13;
make communication more or less visible to others, and the ways in which communication is assessed&#13;
by observers. To facilitate ongoing research we offer an agenda for incorporating communication visibility into the study of contemporary and future forms of CMC.</text>
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                <text>Jeffrey W. Treem, Paul M. Leonardi, &amp; Bart van den Hooff</text>
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                <text>Cues have long been an important concept in computer-mediated communication (CMC), as several core theories have utilized cues to explain how they get filtered and interpreted through technologies. As computing technologies evolved, other related fields have also adopted cues as a concept for understanding technological interaction. Given the pervasive nature of cues, this article first explicates the concept and creates a typology of cues based on how different fields have studied them. It then examines key differences in how existing theories approach cues and their assumptions behind cues, and further pulls apart the relationship between different cue categories and their potential effects on social presence. Lastly, we explain how researchers could draw on this typology to understand the increasingly multifaceted ways that emerging media technologies present cues and evoke social presence. A clear typology of cues is necessary both to clarify the term and help guide future evolutions of CMC. </text>
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                <text>We define Artificial Intelligence-Mediated Communication (AI-MC) as interpersonal communica�tion in which an intelligent agent operates on behalf of a communicator by modifying, augmenting, or generating messages to accomplish communication goals. The recent advent of AI-MC raises new questions about how technology may shape human communication and requires re-evaluation - and potentially expansion – of many of Computer-Mediated Communication’s (CMC) key theories, frameworks, and findings. A research agenda around AI-MC should consider the design of these technologies and the psychological, linguistic, relational, policy and ethical implications of introducing AI into human–human communication. This article aims to articulate such an agenda.</text>
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                <text>Journal of Computer-Mediated Communication 25 (2020)</text>
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                <text>Children start using smartphones increasingly from early ages. This makes it more difficult for them to develop an understanding of online privacy&#13;
&#13;
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phones to ensure the safety and security of their children. This study explores how children use smartphones in relation to their understanding of&#13;
&#13;
privacy of communication, content, data, and location. It examines data from 7 focus groups with arts-based methods conducted with 37 children&#13;
in UK. The findings suggest that children think of their smartphones as a private communication technology and a private place, and they manage&#13;
their locational privacy based on the necessity of using a mobile app and through adjusting the location settings on their phones. The findings&#13;
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                <text>Didem O ̈ zkul</text>
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                <text>Mobile media and communication (MMC) serve as the preferred context for going online among many individuals today and the only means for others less fortunate. As computer-mediated communication (CMC) increasingly goes mobile, scholars should bear in mind the distinctive, and oftentimes disruptive, implications for everyday social life as well as research in the field. Toward that end, this article reviews select ways that MMC structures how people connect with each other and places of social activity. Synthesis of that research casts light on key developments in technology, social practice, and scholarship as CMC primarily becomes a mobile phenomenon .</text>
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                <text>Online social networks (OSNs), comprised of varying types of relations among actors that interact through social technologies, are widespread in today’s media environment. However, questions remain whether we are moving towards convergence within the sub-disciplines of communication and with other disciplines in OSN research. This article pursues two interrelated goals. First, it performs a bibliometric analysis of existing scholarship on OSNs in the past 20 years, highlighting both the convergence and divergence of inquiry on OSNs in computer-mediated communication (CMC) research. Second, based on the results of the bibliometric analysis, it articulates an agenda for future CMC research. Specifically, we advocate for a social network approach that will bridge various theoretical frameworks and disciplinary/sub-disciplinary boundaries, for employing the communication network taxonomy, for greater effort to integrate traditional and computational approaches within and beyond social network analysis, and for addressing a greater diversity of institutional contexts.</text>
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                <text>Sri Wahyuni</text>
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Digital Communication</text>
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                <text>Research on digital communication is best served by  concentrating not on current technological tools, but rather on the novel processes of social and communicative change to which such technologies are often closely linked. Thus, scholarship should consider contemporary technologies mainly as manifestations of underlying phenomena rather than as particular objects of study and should cultivate a focus on the capabilities that span technologies. Theories in this domain, in turn, must concentrate on what is exceptional about technologies in terms of the psychological, social, and behavioral mechanisms that help to comprehend them in the long term. Seen this way, the key to understanding technological mediation is remarkably consistent even in the face of radical technological change. </text>
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                <text>Journal of Computer-Mediated Communication 25 (2020)</text>
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