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The Process And Effects Of Mass Communication

01 Jan 2016-
TL;DR: The the process and effects of mass communication is universally compatible with any devices to read, and is set as public so you can download it instantly.
Abstract: the process and effects of mass communication is available in our book collection an online access to it is set as public so you can download it instantly. Our book servers hosts in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the the process and effects of mass communication is universally compatible with any devices to read.
Citations
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Journal ArticleDOI
TL;DR: This article provides a starting point for articulating the differences between communicative AI and previous technologies and introduces a theoretical basis for navigating these conditions in the form of scholarship within human–machine communication (HMC).
Abstract: Artificial intelligence (AI) and people’s interactions with it—through virtual agents, socialbots, and language-generation software—do not fit neatly into paradigms of communication theory that hav...

235 citations


Cites background from "The Process And Effects Of Mass Com..."

  • ...In contrast, communication historically has been conceptualized as foremost a human process (e.g. Dance, 1970) mediated by technology (e.g. Schramm, 1972), with research within the discipline as a whole focused on how people exchange messages with one another and the implications thereof (see…...

    [...]

Journal ArticleDOI
20 May 2015
TL;DR: A framework for modeling users’ needs for designing eHealth systems that merges prior work in development of a user-task-context matrix with the emerging area of eHealth literacy is proposed and detailed.
Abstract: Background: eHealth systems and applications are increasingly focused on supporting consumers to directly engage with and use health care services. Involving end users in the design of these systems is critical to ensure a generation of usable and effective eHealth products and systems. Often the end users engaged for these participatory design processes are not actual representatives of the general population, and developers may have limited understanding about how well they might represent the full range of intended users of the eHealth products. As a consequence, resulting information technology (IT) designs may not accommodate the needs, skills, cognitive capacities, and/or contexts of use of the intended broader population of health consumers. This may result in challenges for consumers who use the health IT systems, and could lead to limitations in adoption if the diversity of user attributes has not been adequately considered by health IT designers. Objective: The objective of this paper is to propose how users’ needs and competences can be taken into account when designing new information and communications technology solutions in health care by expanding the user-task-context matrix model with the domains of a new concept of eHealth literacy. Methods: This approach expands an existing method for supporting health IT system development, which advocates use of a three-dimensional user-task-context matrix to comprehensively identify the users of health IT systems, and what their needs and requirements are under differing contexts of use. The extension of this model involved including knowledge about users’ competences within the seven domains of eHealth literacy, which had been identified based on systematic engagement with computer scientists, academics, health professionals, and patients recruited from various patient organizations and primary care. A concept map was constructed based on a structured brainstorm procedure, card sorting, and computational analysis. Results: The new eHealth literacy concept (based on 7 domains) was incorporated as a key factor in expanding the user-task-context matrix to describe and qualify user requirements and understanding related to eHealth literacy. This resulted in an expanded framework and a five-step process, which can support health IT designers in understanding and more accurately addressing end-users’ needs, capabilities, and contexts to improve effectiveness and broader applicability of consumer-focused health IT systems. It is anticipated that the framework will also be useful for policy makers involved in the planning, procuring, and funding of eHealth infrastructure, applications, and services. Conclusions: Developing effective eHealth products requires complete understanding of the end-users’ needs from multiple perspectives. In this paper, we have proposed and detailed a framework for modeling users’ needs for designing eHealth systems that merges prior work in development of a user-task-context matrix with the emerging area of eHealth literacy. This framework is intended to be used to guide design of eHealth technologies and to make requirements explicitly related to eHealth literacy, enabling a generation of well-targeted, fit-for-purpose, equitable, and effective products and systems. [JMIR Hum Factors 2015;2(1):e9]

112 citations


Cites background from "The Process And Effects Of Mass Com..."

  • ...The capacity of health consumers to successfully use these systems links back to the classical problem of communication and challenges arising from any misalignment in the communication triangle (the sender, the message, and the recipient) [3]....

    [...]

Journal ArticleDOI
TL;DR: In this article, the authors provide a conceptual theoretical framework to the concept of social in a social media context by exploring the relationship between three central terms in social media environment: information, interactivity, and sociability.
Abstract: The aim of this paper is to provide a conceptual theoretical framework to the term “social” in a social media context. This is done by exploring the relationship between three central terms in a social media environment: information, interactivity, and sociability. We suggest a model that describes the relations between these terms in a social media context. As the model suggests, information is the basic unit of a communication process, but social media users are the ones that decide whether and how much information to share, and when and whether to comment on a social media platform. Hence, not solely the technological features of a platform determine its level of interactivity and sociability, but the actual performances of its users.

92 citations


Cites background from "The Process And Effects Of Mass Com..."

  • ...Indeed, many of the earlier models of communication offered by Wiener (1948), Shannon and Weaver (1947), Osgood (1954), Schramm (1954), and others treated communication as an exchange of information or messages between a sender and a receiver....

    [...]

Journal ArticleDOI
TL;DR: The situational theory of problem solving (STOPS) as mentioned in this paper is an extension of the STP that looks at antecedents of individuals' communication and information behaviors in the process of problem-solving.
Abstract: The situational theory of publics (STP), one of the most popular public relations theories, provides a mechanism for the identification of publics and their information behaviors. The situational theory of problem solving (STOPS), an extension of the STP, is a more general theory of communication that looks at antecedents of individuals’ communication and information behaviors in the process of problem solving. This chapter reviews and explicates the differences and similarities between the two theories, their respective intellectual origins, and the body of new research that is being and could be generated from the STOPS.

64 citations


Cites background from "The Process And Effects Of Mass Com..."

  • ...…in that they choose active communicative behaviors as the focal concept/phenomenon to be explained, whereas most communication theories before the 1970s explained the conditions and causes of attitudinal and behavioral changes among message receivers resulting from a message (Schramm, 1971)....

    [...]

  • ...The underlying assumption was that communicating refers to effective messaging or channeling for the purpose of social infl uence in the minds and behaviors of passive-message receivers (an audience; Schramm, 1971)....

    [...]

References
More filters
Journal ArticleDOI
TL;DR: This article provides a starting point for articulating the differences between communicative AI and previous technologies and introduces a theoretical basis for navigating these conditions in the form of scholarship within human–machine communication (HMC).
Abstract: Artificial intelligence (AI) and people’s interactions with it—through virtual agents, socialbots, and language-generation software—do not fit neatly into paradigms of communication theory that hav...

235 citations

Journal ArticleDOI
20 May 2015
TL;DR: A framework for modeling users’ needs for designing eHealth systems that merges prior work in development of a user-task-context matrix with the emerging area of eHealth literacy is proposed and detailed.
Abstract: Background: eHealth systems and applications are increasingly focused on supporting consumers to directly engage with and use health care services. Involving end users in the design of these systems is critical to ensure a generation of usable and effective eHealth products and systems. Often the end users engaged for these participatory design processes are not actual representatives of the general population, and developers may have limited understanding about how well they might represent the full range of intended users of the eHealth products. As a consequence, resulting information technology (IT) designs may not accommodate the needs, skills, cognitive capacities, and/or contexts of use of the intended broader population of health consumers. This may result in challenges for consumers who use the health IT systems, and could lead to limitations in adoption if the diversity of user attributes has not been adequately considered by health IT designers. Objective: The objective of this paper is to propose how users’ needs and competences can be taken into account when designing new information and communications technology solutions in health care by expanding the user-task-context matrix model with the domains of a new concept of eHealth literacy. Methods: This approach expands an existing method for supporting health IT system development, which advocates use of a three-dimensional user-task-context matrix to comprehensively identify the users of health IT systems, and what their needs and requirements are under differing contexts of use. The extension of this model involved including knowledge about users’ competences within the seven domains of eHealth literacy, which had been identified based on systematic engagement with computer scientists, academics, health professionals, and patients recruited from various patient organizations and primary care. A concept map was constructed based on a structured brainstorm procedure, card sorting, and computational analysis. Results: The new eHealth literacy concept (based on 7 domains) was incorporated as a key factor in expanding the user-task-context matrix to describe and qualify user requirements and understanding related to eHealth literacy. This resulted in an expanded framework and a five-step process, which can support health IT designers in understanding and more accurately addressing end-users’ needs, capabilities, and contexts to improve effectiveness and broader applicability of consumer-focused health IT systems. It is anticipated that the framework will also be useful for policy makers involved in the planning, procuring, and funding of eHealth infrastructure, applications, and services. Conclusions: Developing effective eHealth products requires complete understanding of the end-users’ needs from multiple perspectives. In this paper, we have proposed and detailed a framework for modeling users’ needs for designing eHealth systems that merges prior work in development of a user-task-context matrix with the emerging area of eHealth literacy. This framework is intended to be used to guide design of eHealth technologies and to make requirements explicitly related to eHealth literacy, enabling a generation of well-targeted, fit-for-purpose, equitable, and effective products and systems. [JMIR Hum Factors 2015;2(1):e9]

112 citations

Journal ArticleDOI
TL;DR: In this article, the authors provide a conceptual theoretical framework to the concept of social in a social media context by exploring the relationship between three central terms in social media environment: information, interactivity, and sociability.
Abstract: The aim of this paper is to provide a conceptual theoretical framework to the term “social” in a social media context. This is done by exploring the relationship between three central terms in a social media environment: information, interactivity, and sociability. We suggest a model that describes the relations between these terms in a social media context. As the model suggests, information is the basic unit of a communication process, but social media users are the ones that decide whether and how much information to share, and when and whether to comment on a social media platform. Hence, not solely the technological features of a platform determine its level of interactivity and sociability, but the actual performances of its users.

92 citations

Journal ArticleDOI
TL;DR: The situational theory of problem solving (STOPS) as mentioned in this paper is an extension of the STP that looks at antecedents of individuals' communication and information behaviors in the process of problem-solving.
Abstract: The situational theory of publics (STP), one of the most popular public relations theories, provides a mechanism for the identification of publics and their information behaviors. The situational theory of problem solving (STOPS), an extension of the STP, is a more general theory of communication that looks at antecedents of individuals’ communication and information behaviors in the process of problem solving. This chapter reviews and explicates the differences and similarities between the two theories, their respective intellectual origins, and the body of new research that is being and could be generated from the STOPS.

64 citations