Characterizing Communication Patterns between Audiences and Newsbots

Gómez-Zará, Diego; Diakopoulos, Nicholas

doi:10.1080/21670811.2020.1816485

Cited by 8 publications

(4 citation statements)

References 42 publications

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“…Based on the investigation of the status of interaction between the news chatbots created by Australian Broadcasting Corporation (ABC) and audiences, researchers found that news bots attracted more audiences for news organizations by establishing informal and more intimate relationships with users (Ford and Hutchinson, 2019). Some researchers took a case study about the interaction between news bots and Twitter users and found Twitter users perceived the news bots in several degrees: from ignoring it, to addressing the content curated by the news bots, to responding to news bots itself (Gomez-Zara and Diakopoulos, 2020). Based on the users' experience about the conversational political news bots known as Politibot, one study analyses users' perceptions of the bot as a news and conversational tool.…”

Section: Resultsmentioning

confidence: 99%

Visual analysis of global research trends in social bots based on bibliometrics

Chen

Gao

Zhang

2021

OIR

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PurposeIn order to further advance the research of social bots, based on the latest research trends and in line with international research frontiers, it is necessary to understand the global research situation in social bots.Design/methodology/approachChoosing Web of Science™ Core Collections as the data sources for searching social bots research literature, this paper visually analyzes the processed items and explores the overall research progress and trends of social bots from multiple perspectives of the characteristics of publication output, major academic communities and active research topics of social bots by the method of bibliometrics.FindingsThe findings offer insights into research trends pertaining to social bots and some of the gaps are also identified. It is recommended to further expand the research objects of social bots in the future, not only focus on Twitter platform and strengthen the research of social bot real-time detection methods and the discussion of the legal and ethical issues of social bots.Originality/valueMost of the existing reviews are all for the detection methods and techniques of social bots. Unlike the above reviews, this study is a systematic literature review, through the method of quantitative analysis, comprehensively sort out the research output in social bots and shows the latest research trends in this area and suggests some research indirections that need to be focused in the future. The findings will provide references for subsequent scholars to research on social bots.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2021-0336.

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Section: Resultsmentioning

confidence: 99%

Visual analysis of global research trends in social bots based on bibliometrics

Chen

Gao

Zhang

2021

OIR

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“…These dynamics tend to encompass motivations, orientations, and resources (Nærland 2018), as well as opportunities and access (Schrøder and Steeg Larsen, 2010), which have been found to influence media practices. Among more prominent known drivers that can initiate formation changes are: (1) political drivers, such as changing news consumption up to an election (Boczkowski and Mitchelstien, 2013), (2) affective factors, such as emotional responses to news events spurring use or non-use (Papacharissi, 2015), (3) technological factors, such as changing affordances of news consumption (Gómez-Zará and Diakopoulos, 2020), (4) institutional factors, such as news organizations’ changing engagement strategies (Nelson, 2018), (5) social factors, such as peer influences (Ahva and Heikkila, 2015), (6) economic factors, such as pricing schemes of paid news consumption (Fletcher and Nielsen, 2017), (7) spatiotemporal factors, such as consuming news during a commute (Dimmick et al, 2011), and (8) life stage factors, the most well-known being starting to consume news as part of transitioning to adulthood (Barnhurst and Wartella, 1991). While this list is neither exhaustive nor mutually exclusive, in aggregate it informs an overview of the various drivers that can help initiate change at the level of news repertoires.…”

Section: Changing News Repertoire: a Heuristic Frameworkmentioning

confidence: 99%

“…There is an impressive history of academic interest in the role of news in people’s everyday life and the often converging reasons why this role may change. Scholars have explored changing news use in relation to a number of transformations including evolving media landscapes and technological affordances (Graber, 1990), individual factors such as life stage transitions (Barnhurst and Wartella, 1991), and shifts in attitudes and engagement in public affairs (Valkenburg et al, 1999), themes which still hold significant sway in recent studies (e.g., Gil De Zúñiga and Diehl, 2019; Gómez-Zará and Diakopoulos, 2020; Ytre-Arne, 2019). Moreover, changes to how people use and engage with news—and, indeed, what they consider “news” to be—is not just an academic concern articulated by scholars but a pressing condition caused by the exigencies of the news media industry itself (Peters and Carlson, 2019).…”

Section: Introductionmentioning

confidence: 99%

Exploring changing news repertoires: Towards a typology

et al. 2022

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The past few decades of journalism studies have been characterized by a focus on change, from the transforming digital media ecology, to shifting usage patterns, transitioning business models, and other pressing developments. However, specifying such changes in relation to news audiences and engagement is challenging. This article aims to unfold the complexity of consumption to specify different processes of changing news use. Employing an abductive approach that augments existing literature with a study on the processes and catalysts of transformation, we develop a heuristic framework to explicate changing news repertoires. The framework establishes where change takes place, explores what qualities change has, examines what dynamic factors drive change, and ultimately elaborates a more precise vocabulary to identify different change processes. Further specifying and modeling the exploration and elaboration phases, the article details how deliberateness, permanence, and scale vary the intensity and direction of change, before developing a typology that systematizes different analytical characteristics of how news media become part of ( emergence), exist within ( maintenance), and are removed from ( disappearance) an individual’s media repertoire. The article provides a detailed, systematic, and innovative approach to analyze news use, providing scholars with a comprehensive, actionable framework for qualitative, quantitative, and mixed-methods research to better understand what, exactly, repertoire change “is”. In terms of applicability, the theoretical perspective developed alerts us to the fact that changing news use is often conceptualized by audiences in association with non-journalistic, contextual considerations, which are key to whether or not the potential for changing news use is actualized.

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“…New developments and technological innovations are changing how news are being distributed, consumed, and experienced by users. However, we still lack knowledge on how users will interact with the media of the future, including highly personalized content [73], bots or other conversational agents [33], AI-mediated communication [35], augmented reality (AR) and virtual reality (VR), and so on. Research needs to understand to what extent the behavior and experiences of audiences can be meaningfully monitored, measured, and studied.…”

Section: Understanding Media Experiencesmentioning

confidence: 99%

Responsible media technology and AI: challenges and research directions

et al. 2021

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The last two decades have witnessed major disruptions to the traditional media industry as a result of technological breakthroughs. New opportunities and challenges continue to arise, most recently as a result of the rapid advance and adoption of artificial intelligence technologies. On the one hand, the broad adoption of these technologies may introduce new opportunities for diversifying media offerings, fighting disinformation, and advancing data-driven journalism. On the other hand, techniques such as algorithmic content selection and user personalization can introduce risks and societal threats. The challenge of balancing these opportunities and benefits against their potential for negative impacts underscores the need for more research in responsible media technology. In this paper, we first describe the major challenges—both for societies and the media industry—that come with modern media technology. We then outline various places in the media production and dissemination chain, where research gaps exist, where better technical approaches are needed, and where technology must be designed in a way that can effectively support responsible editorial processes and principles. We argue that a comprehensive approach to research in responsible media technology, leveraging an interdisciplinary approach and a close cooperation between the media industry and academic institutions, is urgently needed.

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Characterizing Communication Patterns between Audiences and Newsbots

Cited by 8 publications

References 42 publications

Visual analysis of global research trends in social bots based on bibliometrics

Visual analysis of global research trends in social bots based on bibliometrics

Exploring changing news repertoires: Towards a typology

Responsible media technology and AI: challenges and research directions

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