One of the oldest social science theories applied to the study of communication, the gatekeeping approach emphasizes the movement of bits of information through channels, with an emphasis on decision points (gates) and decision-makers (gatekeepers). Forces on both sides of a gate can either help or hinder the information’s passage through a channel. The gatekeeping process shapes and produces various images of reality, not only because some bits of information are selected and others rejected, but because communication agents put information together in different ways. In addition, the timing and repetition of information can affect the prominence of events or topics and can influence the probability of future information diffusion. Gatekeeping was originally modeled as a series of linear processes within the mass media, but in the late 20th century the flow of information through the mass and social media began to interact. Information is now understood to flow among journalists, among social media users, and among agents of both types of media. All such communication agents are gatekeepers. In addition, we can study these networked interconnections as one level of analysis, with the supra-gatekeepers (such as Facebook or Twitter) adding their own gatekeeping processes over and beyond those of their own clients of the mass media. In addition to looking at various pairwise relationships between gatekeepers, gatekeeping theory should go beyond to instead consider the entire web of gatekeepers as a whole or system. A system is composed of elements (gatekeepers), interactions (relationships among them), and a goal or function. Multiple functions have been proposed by 20th-century scholars (such as socialization, entertainment, or surveillance) for the mass media, but scholars should now consider the function(s) of the gatekeeping system (mass and social media, as well as supra-gatekeepers) as a whole. Although each type of medium can be analyzed as its own system, such analysis would not facilitate new thinking about the various ways in which these partial systems affect one another and how the whole system functions beyond the simple addition of its parts.
Pamela J. Shoemaker
Michael Latzer and Natascha Just
Internet-based services that build on automated algorithmic selection processes, for example search engines, computational advertising, and recommender systems, are booming and platform companies that provide such services are among the most valuable corporations worldwide. Algorithms on and beyond the Internet are increasingly influencing, aiding, or replacing human decision-making in many life domains. Their far-reaching, multifaceted economic and social impact, which results from the governance by algorithms, is widely acknowledged. However, suitable policy reactions, that is, the governance of algorithms, are the subject of controversy in academia, politics, industry, and civil society. This governance by and of algorithms is to be understood in the wider context of current technical and societal change, and in connection with other emerging trends. In particular, expanding algorithmizing of life domains is closely interrelated with and dependent on growing datafication and big data on the one hand, and rising automation and artificial intelligence in modern, digitized societies on the other. Consequently, the assessments and debates of these central developmental trends in digitized societies overlap extensively. Research on the governance by and of algorithms is highly interdisciplinary. Communication studies contributes to the formation of so-called “critical algorithms studies” with its wide set of sub-fields and approaches and by applying qualitative and quantitative methods. Its contributions focus both on the impact of algorithmic systems on traditional media, journalism, and the public sphere, and also cover effect analyses and risk assessments of algorithmic-selection applications in many domains of everyday life. The latter includes the whole range of public and private governance options to counter or reduce these risks or to safeguard ethical standards and human rights, including communication rights in a digital age.
Robin L. Nabi
Emotion has been incorporated into media effects research in multiple ways, which can be broadly summarized as considering emotion as a predictor of media selection, an outcome of media exposure, and a mediator of other psychological and behavioral outcomes resulting from media exposure. Specifically, evidence suggests that the desire for particular feeling states influences the media that people choose to consume. Much research also considers the feeling states resulting from exposure, including fright reactions and enjoyment. Finally, there are well-established lines of inquiry into how emotional responses to media influence the processing of those messages in terms of attention, processing depth, and cognitive and behavioral outcomes. More contemporary research is extending these research programs, examining how emotional media messages are socially shared with others as well as the positive emotional effects that may emerge in response to media exposure.
Political economy approaches examine the power relations that are embedded in the production, distribution, and exchange of resources. They are distinguished from economics by a deeper concern for history, the social totality, moral philosophy, and praxis. Numerous schools of thought mark these approaches including early conservative, communitarian, and Marxian perspectives. Today, neoconservative, institutional, neo-Marxian, feminist, environmental, and social movement-based approaches offer a wide variety of political economies. Communication scholars have drawn on political economy approaches to carry out research on media technologies, including broadcasting, telecommunications, and computer communication. In doing so they have developed distinctive geographic perspectives covering North America, parts of Asia, Europe, and the less developed world. Political economy approaches are built on specific philosophical assumptions including a range of epistemologies that, on one end of a continuum, accept the reality of concepts and observations and, at the other, claim that concepts and observations are the social constructions of language. Political economy approaches also range from perspectives that emphasize social change, social processes, and social relations to those that focus on social structures and institutions. Political economists tend to concentrate on three processes that make up the main starting points for political economy research on media technologies. Commodification is the process of transforming things valued for their use into marketable products that are valued for what they can bring in exchange. This can be seen, for example, in the process of turning a story that friends tell one another into a film, a book, or even a virtual experience, to be sold in the marketplace. Spatialization is the process of overcoming the constraints of geographical space with media and technologies. For example, social media surmounts distance by bringing images of world events to every part of the globe, and companies use media technologies, now typically composed of cloud computing, big data analytics, the Internet of Things, and telecommunications networks, to build global supply chains. Finally, structuration is the process of creating social relations, mainly those organized around social class, gender, and race. With respect to social class, political economy approaches describe how access to the mass media and new communication technologies is influenced by inequalities in income and wealth, which enable some to afford access and others to be left out. Political economy approaches are evolving in response to challenges from cultural studies approaches. Political economies of media technologies are now placing greater emphasis on international communication, on communication history, on standpoints of resistance, on new media technologies, and on new media activism.
Patrick J. Ewell and Rosanna E. Guadagno
According to Nisbett and Ross, “Information may be described as vivid, that is, as likely to attract and hold our attention and excite the imagination to the extent that it is (a) emotionally interesting, (b) concrete and imagery-provoking, and (c) proximate in a sensory, temporal, or spatial way.” Despite a widespread belief held by scholars and practitioners alike that vividness enhances persuasion, most early studies on this topic found weak or nonexistent vividness effects. To further understand this relationship, subsequent research focused on explaining these inconsistent findings. Taylor and Thompson explored the different ways that vividness has been operationalized across studies. Guadagno, Okdie, Sagarin, DeCoster, and Rhoads elucidated the conditions under which vividness enhances or detracts from persuasion. Generally, the extant literature suggests that vividness is an effective means of enhancing persuasion when the main point of a communication is the sole component made vivid. These findings caution against attempts to persuade by increasing overall message vividness, because off-thesis or incongruent vividness has the unintended and undercutting consequence of distracting influence targets from the point of the communication. This conclusion is based on the results of individual empirical studies as well as meta-analytic findings. Literature on shock advertising as a specialized case of vividness also exists. Future research on vividness might further delineate when, how, and why vividness sometimes enhances and sometimes detracts from persuasion.