Media and Communication 期刊发表的英文文献

… about mobile communication, my aim … media and communication and to generate dialogue on whether we really have a new field of study, or just a new journal for the field of new media …

… of mass media research articles published in eight major communication journals. The social … , while being the majority paradigm in the mainstream journals, could not be considered a …

… between science and the media has been increasingly … mass media’s overall importance for societal communication … its own modes of communication such as journals and conferences (…

… a focus on everyday life, subjectivity, interaction, and meaning, documented in a special issue of the Journal of Communication in 1983 (vol. 33, no. 3) entitled ‘Ferment in the Field’. …

… journal and citing an article by a mass media communication scholar that was published in a mass media communication journal, … the correspondence of the journal-level index at the …

… Policy is a curious omission in a book that takes cognizance of five earlier Canadian commissions that investigated media performance and reviewed communications policy. …

… covering four disciplines—advertising, communication, marketing, and public relations. In … to social media of the journals selected in each discipline, (2) the development of social media …

This article provides an agenda for future research on brand communication in social media. Based on an overview of the current state of research, a discussion of the theoretical and conceptual challenges of brand communication in social media, and a survey about the expectations of the media and advertising industry, I present six key directions for future research. These six key directions include research on (1) social media influencers, (2) personalized brand content in social media, (3) ethical concerns about the nature of social media content and consumer empowerment, (4) platform characteristics rather than on Facebook, (5) the integration of social media in the media mix and the consumer journey, and (6) using real social media data. Together these six key directions help to shape the social media research agenda.

… how social media … media communication has on the bottom line. This study contributes toward advancing knowledge in this area by showing the effect that social media communication …

This article presents a review of the scholarship on social networking services (SNS) in the period from 2006 to 2011. Through a full scan of the academic output published in six high-…

… production/construction of media messages and public communications; the content/messages of media communication; and the impact of media and public communication on public/…

… out of a series of different perspectives—communication theory, semiology, sociology and psychology—and to provide an overall model of the communication circuit as it operated in its …

… media and communication studies, where it is not unusual to find separate modules and textbooks on media or communication theory.… to what media or communication theory they will …

… In the preceding discussion, we have indicated some past shifts in the focus of interest in media studies, from a primary concern with effects to a concern with consequences which the …

… This chapter offers an outline of a social semiotics of mass communication and defines … much previous communication theory, both in the social sciences and in cultural studies. Mass-…

This review article examines two recent publications that explore the relationship between Artificial Intelligence (AI) and communication. Discussing Human–Machine Communication (HMC) as an emerging area of inquiry within communication and media studies, two important implications of this body of work are highlighted. First, the "human" component still plays a key role in HMC, since what we call “AI” derives from the technical and material functioning of computing technologies as much as from the contribution of the humans who enter in communication with AI technologies. Second, HMC challenges the very concept of medium, because the machine is at the same time the channel as well as the producer of communication messages. A potential way to solve this challenge is to mobilize existing approaches in media history and theory that expand the concept of medium beyond its conceptualization as mere channel.

… media theory and feminist theory in this research tends to be invisible or hard to discern. Feminist social scientists use theories … They often use a distinctive communication theory and a …

… The area of film and Media Studies has become a privileged one for the construction of new theoretical approaches, and the work of the Centre in these different concrete areas of …

… media field in the context of Pierre Bourdieu's theory of fields, capital, and habitus. I then illustrate the media field approach by analyzing several field case studies, … to media research, I …

… the reporting, critically apprising the content and feeling motivated to engage in … content analysis. The participants discussed experiences of digital media, rather than solely social media…

… sources–political blogs–exert on state authorities, content analysis is employed to offers insight into the way communication in digital media environments can lead to macro-level socio-…

… Recently, efforts have emerged to investigate the content of health care-related posts on … and apply content analysis (CA). In current infodemiology, infoveillance and digital disease …

… content analysis is insufficient for digital media but that common standards, protocols and procedures are yet to be developed for these new approaches to digital journalism research. …

… implications of using digital newspaper archives for analysis of media content. The … concerns about this increasingly prevalent mode of analysis, which have been under-appreciated to …

… Despite the advantages that computational methods have over traditional content analysis methods, they are not commonplace in digital journalism studies. To increase awareness of …

Objective: Young children use mobile devices on average 1 hour/day, but no studies have examined the prevalence of advertising in children's apps. The objective of this study was to describe the advertising content of popular children's apps. Methods: To create a coding scheme, we downloaded and played 39 apps played by children aged 12 months to 5 years in a pilot study of a mobile sensing app; 2 researchers played each app, took detailed notes on the design of advertisements, and iteratively refined the codebook (interrater reliability 0.96). Codes were then applied to the 96 most downloaded free and paid apps in the 5 And Under category on the Google Play app store. Results: Of the 135 apps reviewed, 129 (95%) contained at least 1 type of advertising. These included use of commercial characters (42%); full-app teasers (46%); advertising videos interrupting play (e.g., pop-ups [35%] or to unlock play items [16%]); in-app purchases (30%); prompts to rate the app (28%) or share on social media (14%); distracting ads such as banners across the screen (17%) or hidden ads with misleading symbols such as “$” or camouflaged as gameplay items (7%). Advertising was significantly more prevalent in free apps (100% vs 88% of paid apps), but occurred at similar rates in apps labeled as “educational” versus other categories. Conclusion: In this exploratory study, we found high rates of mobile advertising through manipulative and disruptive methods. These results have implications for advertising regulation, parent media choices, and apps' educational value.

… digital media in social change. It begins by criticizing three theories that currently dominate our understanding of digital media and of media … , namely, that digital media mostly do not fit …

The Institute of Medicine has warned of the harm of food marketing to children from television to new media channels such as the Internet. The authors identified and analyzed the …

Abstract The construction of gender goes on today through various technologies of gender (e.g. cinema) and individual discourses (e.g. theory) with the power to control the field of social meaning and thus produce, promote, and ‘implant’ representations of gender. Digital media had and has even now an immense growing through the media consumption. The need to study ‘whose voices are being heard in digital media’ passes from typically portrayed media (especially advertising and television) gender-specific items– men with alcohol, vehicles, or business products, women associated with domestic products to the position of women as media professionals or news actors. Our research tries to identify some of the new gender images in online media, by news content analysis. Being aware of the impact of the news industries on our cultural, political, and social lives, we have chosen to focus our study on how texts operate to produce meanings which reproduce dominant ideologies of gender in digital media news.

… The content analysis helps the study to discover information that we could not see on the … The results of content analysis of this case show that digital media including social media and …

… The features of this emerging participation paradigm of audience research are examined in … among audience researchers in how the changing media and communication environment …

… research. This section illustrates how traditional approaches to audience research are, in some ways, being undermined by this process of audience evolution, as well as how new and …

… SNS will work as an effective site of political communication. But it is equally clear that political … are intense: how would political communications work if governments and political parties …

Background Public health agencies widely adopt social media for health and risk communication. Moreover, different platforms have different affordances, which may impact the quality and nature of the messaging and how the public engages with the content. However, these platform effects are not often compared in studies of health and risk communication and not previously for the COVID-19 pandemic. Objective This study measures the potential media effects of Twitter and Facebook on public health message design and engagement by comparing message elements and audience engagement in COVID-19–related posts by local, state, and federal public health agencies in the United States during the pandemic, to advance theories of public health messaging on social media and provide recommendations for tailored social media communication strategies. Methods We retrieved all COVID-19–related posts from major US federal agencies related to health and infectious disease, all major state public health agencies, and selected local public health departments on Twitter and Facebook. A total of 100,785 posts related to COVID-19, from 179 different accounts of 96 agencies, were retrieved for the entire year of 2020. We adopted a framework of social media message elements to analyze the posts across Facebook and Twitter. For manual content analysis, we subsampled 1677 posts. We calculated the prevalence of various message elements across the platforms and assessed the statistical significance of differences. We also calculated and assessed the association between message elements with normalized measures of shares and likes for both Facebook and Twitter. Results Distributions of message elements were largely similar across both sites. However, political figures (P<.001), experts (P=.01), and nonpolitical personalities (P=.01) were significantly more present on Facebook posts compared to Twitter. Infographics (P<.001), surveillance information (P<.001), and certain multimedia elements (eg, hyperlinks, P<.001) were more prevalent on Twitter. In general, Facebook posts received more (normalized) likes (0.19%) and (normalized) shares (0.22%) compared to Twitter likes (0.08%) and shares (0.05%). Elements with greater engagement on Facebook included expressives and collectives, whereas posts related to policy were more engaged with on Twitter. Science information (eg, scientific explanations) comprised 8.5% (73/851) of Facebook and 9.4% (78/826) of Twitter posts. Correctives of misinformation only appeared in 1.2% (11/851) of Facebook and 1.4% (12/826) of Twitter posts. Conclusions In general, we find a data and policy orientation for Twitter messages and users and a local and personal orientation for Facebook, although also many similarities across platforms. Message elements that impact engagement are similar across platforms but with some notable distinctions. This study provides novel evidence for differences in COVID-19 public health messaging across social media sites, advancing knowledge of public health communication on social media and recommendations for health and risk communication strategies on these online platforms.

The concept of ‘audience’ is central to research and practice in science communication. When asked by a scientist for help communicating their work, who among us has not responded with the time honoured question ‘who is your audience?’ Yet what we mean when we talk about audience is not always clear: implied and ambiguous, rather than explicit and precise. This article explores this ambiguity, drawing on a systematic review of 1360 science communication research articles and a survey of 45 science communication educators. We report 10 different conceptualisations, in three groups. Being conceptualisations include ‘Demographic’, ‘Knowledge’, ‘Values’ and ‘Embodied’; Doing conceptualisations include ‘Interaction’ and ‘Dynamic’. In Qualifiers, we found ‘Diverse’, ‘Potential’, ‘Plural’ and ‘General’ conceptualisations. These data allow tracking of how we have conceptualised audience over time, an understanding of the groups systematically under-serviced, and a pathway to a richer discussion of this key concept for our field.

Audience research interprets a lived reality that has already been interpreted by the recipients of media, and which may be reinterpreted through the intervention of research. This article explores the interplay between changing media environments and changing conceptions of audiences. In the digital media environment, audiences are active users of media, and media actively use the bit trail that users leave behind. To account for the reconfigured roles of media and audiences, I propose a renewed emphasis on the diverse flows of communication on digital platforms, specifically the metacommunication that yields metadata. Metacommunication is key to reinterpreting what audiences do with digital media and what digital media, in turn, do to audiences.

Digital journalism studies have done little in terms of studying longitudinally the interrelationships between emerging technology and convergent news practices. This study addresses that void by using a sensemaking approach to examine how emerging technology was appropriated and enacted in the convergent news activities of newsworkers, and how they made sense of the emerging technologies over two and a half years. Our study analyzes two newsrooms in Singapore: 1) a digital-first legacy newspaper, and 2) an independent digital-only news startup. This article employs the Infotendencias Group’s (2012) analytical framework and its four dimensions of news convergence: i) business, ii) professional, iii) technological, and iv) contents. Additionally, it proposes and employs a fifth dimension: v) audience-centric engagement. The fifth dimension is based on the concept of “measurable journalism” (Carlson, 2018), analyzing how its actors influence the relationship between newsrooms and their audiences. This study builds on two rounds of in-depth interviews conducted from end-2015 to mid-2016, and again in 2018. Our findings show that audience-centric-engagement practices are observed in all four dimensions of convergent news activities of each news organization, and leads to three main conclusions: 1) the growing significance of audience-centric engagement, 2) an emergence of a collaboration culture, and 3) the salience of platform counterbalancing.

In the digital age, people's life has changed dramatically. Personal owned electronic devices are increasingly encroaching on people's lives, making people gradually move away from public areas, and think independently. Due to the progress of science and technology in the digital age, people are able to receive first-hand information more quickly and timely. The conveniences and changes that technology provided make audiences active thinkers with their own ideas. At the same time, people's sense of participation and the sense of seeking equality makes people unwilling to become the passive receiver at the end of the linear model, but the information creator. Thus, the concept of “audience” becomes more and more important, but the old theory and old concept of “audience” are no longer fit in today’s digital age.

… Decoloniality in the field of media and communications audience research can be seen as the ongoing process of critically examining the systematic biases, representations and power …

… As in other communication research o elds, audience studies exhibit differences between the academic community and the media industry sector in terms of their objects of study, …

Abstract In recent decades, significant transformations in audience characteristics and the media environment have necessitated a reassessment of audience analysis. Communication scholars have increasingly recognized the value of utilizing digital traces as valuable resources to understand audience behaviors. This research presents a comprehensive review of 243 audience analyses that incorporate digital traces, covering the period from 2001 to 2022, as published in 19 prominent communication journals. Our analysis reveals a remarkable expansion in the variety of data sources and a diversification of research contexts within the field. The integration of digital traces has empowered researchers to enhance behavioral concepts and attain deeper insights into audience dynamics. By harnessing the temporal, semantic, and structural information embedded within digital traces, novel audience metrics have been developed. This review identifies noteworthy theoretical and methodological implications for future audience research, emphasizing the necessity to embrace the evolving landscape of digital media. Furthermore, it suggests avenues for further exploration and the refinement of existing methodologies. By capitalizing on the potential of digital traces, communication scholars can continue to advance our understanding of audience characteristics and behaviors in the ever-changing media ecosystem.

Audience research, this paper suggests, is an excellent field to test the claims of Media Studies 2.0. Moreover, 2.0 claims are a good means to review qualitative audience research itself too. Working from a broad strokes analysis of the theory, politics and method of interpretative research with audiences, it is argued that the new media ecology demands new roles of researchers, and an open approach to audiencehood as practice and innovative research method. The paper ends with a case study of the co-creation project of a research team and a Moroccan-Dutch Internet community-writing team working together on an Internet telenovela.

The framing of political issues can influence policy and public opinion. Even though the public plays a key role in creating and spreading frames, little is known about how ordinary people on social media frame political issues. By creating a new dataset of immigration-related tweets labeled for multiple framing typologies from political communication theory, we develop supervised models to detect frames. We demonstrate how users’ ideology and region impact framing choices, and how a message’s framing influences audience responses. We find that the more commonly-used issue-generic frames obscure important ideological and regional patterns that are only revealed by immigration-specific frames. Furthermore, frames oriented towards human interests, culture, and politics are associated with higher user engagement. This large-scale analysis of a complex social and linguistic phenomenon contributes to both NLP and social science research.

… discourse of concerned, reflective, social commentary, there are significant streams that are inherently reductive, that frame … Part of this framing involves normalising that collection, and …

This study investigates the concept of frames in the realm of online polarization, with a focus on social media platforms. The research extends the understanding of how frames–emerging, complex, and often subtle concepts–become prominent in online conversations that are polarized. The study proposes a comprehensive methodology for identifying and characterizing these frames, integrating machine learning techniques, network analysis algorithms, and natural language processing tools. This method aims for generalizability across multiple platforms and types of user engagement. Two novel metrics, homogeneity and relevancy are introduced for the rigorous evaluation of identified frame candidates. Grounded in several foundational presumptions, including the role of topics and multi-word expressions in framing, the study sheds light on how frames emerge and gain significance within digital communities. The research questions explored include the methods for identifying frames, the variability and significance of these frames, and the effectiveness of different computational techniques in this context. To validate the approach, we present a case study of the 2021 Chilean presidential election, using data from both \(\mathbb {X}\) (formerly known as Twitter) and WhatsApp platforms. This real-world application allows for the examination of how frames fluctuate in response to events and the specific mechanisms of platforms. Overall, the study makes several key contributions to the field, offering new insights and methodologies for analyzing the complexities of online polarization. It serves as groundwork for future research on the dynamics of online communities, especially those associated with distinctly polarized events.

Mental health discussions on public forums influence the perceptions of people. Negative consequences may result from hostile and “othering” portrayals of people with mental disorders. Adopting the lens of Moral Foundation Theory (MFT), we study framings of mental health discourse on Twitter and News, and how moral underpinnings abate or exacerbate stigma. We adopted a large language model based representation framework to score 13,277,115 public tweets and 21,167 news articles against MFT’s five foundations. We found discussions on Twitter to demonstrate compassion, justice and equity-centered moral values for those suffering from mental illness, in contrast to those on News. That said, stigmatized discussions appeared on both Twitter and News, with news articles being more stigmatizing than tweets. We discuss implications for public health authorities to refine measures for safe reporting of mental health, and for social media platforms to design affordances that enable empathetic discourse.

PurposeThe purpose of this paper is to highlight and reflect on the increased use of social media in the museums sector in the UK and beyond. It seeks to explore the challenges of utilising such media for institutions steeped in discourses of authority, authenticity and materiality.Design/methodology/approachArguments are illustrated using examples of practice and policy from across the museums sector, and are informed by critical theory. In particular, Erving Goffman's frame analysis is used as a means for understanding and articulating the current use of social media by museums.FindingsThere is currently a gulf between the possibilities presented by social media, and their use by many museums. This leads to forms of frame misalignment, which can be intensely problematic. It is crucial that museums increase their understanding of the frames within which such activity is being encouraged and experienced.Research limitations/implicationsThe paper does not offer a comprehensive mapping of social media use by museums at the current time. Rather, it uses notable examples to foreground a number of concerns for exploration through further research.Originality/valueThe paper calls into question the naturalised discourse surrounding social media use in the museums sector. It calls for a re‐appraisal and re‐framing of such activity so that it might more genuinely and satisfactorily match the claims that are being made for and about it.

… media discourses that included social networking media. Platforms such as Instagram became sites for political communication and framing, … images for mapping the framing of the crisis …

Marked by both deep interconnectedness and polarization, the contemporary media system in the United States features news outlets and social media that are bound together, yet deeply divided along partisan lines. This article formally analyzes communication flows surrounding mass shootings in the hybrid and polarized U.S. media system. We begin by integrating media system literature with agenda setting and news framing theories and then conduct automated text analysis and time series modeling. After accounting for exogenous event characteristics, results show that (a) sympathy and gun control discourses on Twitter preceded news framing of gun policy more than the other way around, and (b) conservatives on Twitter and conservative media reacted to progressive discourse on Twitter, without their progressive counterparts exhibiting a similar reactiveness. Such results shed light on the influence of social media on political communication flows and confirm an asymmetry in the ways partisan media ecosystems respond to social events.

Two widely applied entrances to critically analyze mediated political communication are framing and discourse theory. While media discourse and framing are used in close connection in academic literature, we examine how the approaches theorize media power and politics differently. Framing theory examines how issues are constructed interactively, represented in mediated form, and interpreted within an institutionalized policy sphere. Some framing studies critically examine structural or hegemonic power. However, the preoccupation with manifest interactions entails a diminished sensibility to systematic exclusion. Discourse theory provides a post-foundational conceptualization of politics as the political in which media discourses are antagonistic, contingent, and open to change. Discourse theory expands media power to include (subversive) positions beyond hegemonic politics. We argue that applying either discourse or framing theory in media studies has theoretical and analytical consequences and that theoretical sensitivity will strengthen the discriminatory power of framing and discourse theory as two distinct fields.

… discourse on … framing strategies in political persuasion and the underlying moral foundations associated with climate change by combining computational methods and critical discourse …

This study undertakes a systematic analysis of media discourse on migration in Sweden from 2012 to 2019. Using a novel data set consisting of mainstream newspapers, Twitter and forum data, the study answers two questions: What do Swedish media actually talk about when they talk about “migration”? And how do they talk about it? Using a combination of computational text analysis tools, I analyze a shift in the media discourse seen as one of the outcomes of the European refugee crisis in 2015 and try to understand the role of social media in this process. The results of the study indicate that messages on social media generally had negative tonality and suggest that some of the media frames can be attributed to a migration-hostile discourse. At the same time, the analysis of framing and sentiment dynamics provides little evidence for the discourse shift and any long-term effects of the European refugee crisis on the Swedish media discourse. Rather, one can hypothesize that the role of the crisis should be viewed in a broader political and historical context.

BIPOC scholars have criticized that feminism and feminist activism have often failed to include race, class, and intersectional identities in the feminist agenda. Using theoretical concepts from framing, rhetoric, and cross-platform activism, we examine (a) the discourse in social media posts around white feminism and (b) the platform differences of this content across five different social media platforms: Twitter, Facebook, Instagram, Reddit, and YouTube. The methodology we use is a combination of computational text analysis approaches and content analysis. Our study highlights the voice of those who felt marginalized by the feminist movement including the uprising of #MeToo. We find pockets of conversations on topics such as experiences of People of Color or Women of Color; critique of white feminism, experiences of LGBTQ+ communities, and Black experiences. These posts predominantly used techniques to persuade the audience with reason, facts, and logic. The most common framing technique used was acknowledgment. Moreover, our findings show multiple differences across the five social media platforms.

Grounded in social representation theory and its empirical investigation into the ‘social arena’, inspired by the ‘modelling paradigmatic approach’, the research presented in this article is part of a larger project aimed at reconstructing the ‘multi-voice’, and ‘multi-agent’ discourse about (im)migration. Specifically, this contribution’s focus is on the exploration of shaping and sharing social representations about (im)migrants through communication via the social medium ‘Twitter’. A total of 1,958 tweets (967 Italian and 991 English tweets) were analysed through Systeme Portable Pour L’Analyse Des Donnees Textuelles [Portable System for Textual Data Analysis]SPAD in two lexical correspondence analyses. The results show a dichotomous discourse organising a semantic space structured around five different factors for the two distinct Twitter corpora: both clearly show polarised social representations of ‘immigrants–migrants’, leading to exclusion–inclusion policies depending on the discursive agent’s ideological affiliation in the Italian and the international political frame. Used as a propaganda tool, Twitter echoes the related pro- and anti-immigration polemical representations of opposite political leaders in posts that are positioned differently in relation to the progressive/conservative ideology.

This study explores the framing strategies employed by influential Pakistani political figures, Imran Khan, and Maryam Nawaz, on Twitter. By adopting Hallahan's framing theory as an analytical framework, we analyze their tweets to reveal how they strategically shape political narratives and influence public perceptions. The study enhances our understanding of the interplay between political communication and political identities, shedding light on the nuanced strategies used by political actors to construct persuasive narratives. Our findings provide evidence of Twitter's significant role as a powerful tool for political communication and discourse in the Pakistani context. This research contributes to the broader landscape of Pakistani political communication and the intersection between social media, politics, and framing strategies.

… In this paper, I show why discourse studies must engage with theories … social media across academic fields beyond discourse studies and linguistics, at how these can help best frame …

Critical Discourse Analysis (CDA) is a particular strand of discourse analysis that focuses on the role of language in society and in political processes, traditionally targeting texts produced by elites and powerful institutions, such as news and political speeches. The aim is to reveal discourses buried in language used to maintain power and sustain existing social relations. However, since the internet and social media have come to define much of the way that we communicate, this brings numerous challenges and also opportunities for CDA. The relationship between text and ideology, and between the author and reader, appears to have changed. It is also clear that new methods are required for data collection, as content takes new forms and also moves away from running texts to language that is much more integrated with forms of design, images, and data. Also, new models are required to address how the technologies themselves come to shape the nature of content and discourse.

The recent growth of alternative media sites and sources has also seen the rise of an aggressive rhetoric decrying mass media or parts thereof as being untrustworthy and politically biased. While it is unclear whether the fake news debate is directly connected with this, it is surely a framing of mass media. In this article, we use techniques of quantitative text analysis in order to analyse how the fake news frame is structured and to understand its central determinants in terms of social context and political orientation. Using quantitative text analysis, we analyse the frame usage and semantic embeddedness in eight blogs. We find evidence for a generalised frame that tends to be independent of political orientation of the blog.

… Thus, even if we started out with the idea and visualisation that journalistic production and audience experiences meet at the distinct moment of consumption, the framework of practice …

… contribution of data journalism is judged to be to enhance news production, with particular … and consideration of “Journalism in an Era of Big Data” (Digital Journalism 3.2) and Stuart …

The development of information technology and the internet has significantly transformed the landscape of media and journalism. Traditional journalism, which relied on print and electronic broadcasting, has evolved into digital journalism supported by online platforms. This change has had a profound impact on the professionalism and credibility of journalists. This research aims to analyze the paradigm shift from traditional journalism to digital journalism and explore its impact on journalistic professionalism and credibility. The methods used in this study are literature review and comparative analysis. In the literature review, we examine the relevant literature on the paradigm shift in journalism and its impact on journalistic professionalism and credibility. Comparative analysis is carried out by comparing the characteristics of traditional journalism and digital journalism and analyzing the changes that have occurred. The results of the study indicate that the paradigm shift from traditional journalism to digital journalism has changed the role of journalists in gathering, editing and delivering news. Digital journalism provides greater freedom and flexibility for journalists in creating content, but it also brings new challenges related to the validity and credibility of information. Journalists today are faced with demands to adapt to new technologies, master algorithms, and build a strong online presence. The results of the study indicate that the paradigm shift from traditional journalism to digital journalism has changed the role of journalists in gathering, editing and delivering news. Digital journalism provides greater freedom and flexibility for journalists in creating content, but it also brings new challenges related to the validity and credibility of information. Journalists today are faced with demands to adapt to new technologies, master algorithms, and build a strong online presence.

Developments shaping digital journalism seem to speeding up at the start of the 21 st century. Social media enable radical new ways to gather and verify sources and information. Hardware and software power innovative storytelling formats, combining platforms and channels, adding interactivity to the news experience. And the global news industry is quickly becoming a networked industry, with startups and other forms of entrepreneurial journalism springing up all over the world. In this essay, I consider a possible future for digital journalism by briefly reviewing first findings from a series of case studies of 21 new small-sized journalism enterprises operating in 11 countries (spread across 5 continents). The overarching research question: seen through their eyes, what does the future of (digital) journalism look like? The answers are hopeful.

Digital journalism has undergone significant transformations in recent years driven by advancements in technology and shifts in audience preferences. This research paper explores the latest trends shaping the landscape of digital journalism examining their impact on news production, distribution and consumption. Drawing upon an extensive review of literature, case studies, and industry reports, this paper identifies and analyzes key trends such as data journalism, immersive storytelling, mobile journalism, audience engagement strategies, and the rise of AI-driven content creation. Furthermore, it examines the challenges and opportunities presented by these trends for journalists, news organizations, and society as a whole. By understanding and adapting to these evolving trends, journalists can effectively navigate the dynamic digital media environment and continue to deliver high-quality, relevant, and engaging news content.

… news production? Are there any business strategies that these media adopt in the digital era… and analyses the similarities and differences in local news production among these entities. …

… This article examines the point of journalistic production in one major news organization and shows how reporters and editors manage constraints of time, space, and market pressure …

This study aims to analyze the challenges of print media journalism in the digital era. The development of online media has now become a threat to newspapers and print media. The rapid development of the internet has encouraged people to access online media easily through mobile phones, or gadgets. Print media are in danger of being threatened, and loyal readers of print media are likely to turn to online media. The results shows that the biggest challenge of journalists in the digital information era is synonymous with the competition between media mainstream and new media in this case online media. The party who felt a significant impact with the presence of online media was journalism which of course already had a new channel to spread information and news.

… coupled assemblages put together in producing digital journalism, beyond its traditional institutional … , using the kind of thick description that characterized the field in the pre-digital era. …

This article reviews recent research on social media platforms as outlets of street protest reporting by activists, pos-ing the question of whether such outlets constitute a cultural source for protest movements. Given the “ many-to-many ” dynamic that alternative journalism via social media offers in contrast to the “ one-to-many ” approach of traditional media, there are implications for incursions into more democratic, participatory cultures and structures. Existing literature indicates that user-generated content via social media potentially is known to supplant traditional journalism in protest situations due to advantages such as first-hand access. Further, research demonstrates that activist reporting supplements and integrates with traditional journalism, and that interdependence develops. We also review the boundary conditions that constrain the use of social-media platforms for protest reporting.

The digital era has ushered in a transformation in journalism, reshaping news creation, dissemination, and consumption. This article examines the challenges and opportunities within contemporary journalism's digital landscape. This article comprehensively analyzes the dynamics of modern journalism in the digital age. It draws from scholarly research and industry insights to explore the evolving roles of journalists, the influence of social media, the rise of data journalism, and the imperative of media literacy. Our research combines literature reviews, industry analysis, and critical examination to provide a holistic perspective on the digital age's challenges and opportunities for journalists and media entities. The study reveals that journalists now function as information curators and investigative watchdogs in a digital information deluge. Social media is a primary news source, challenging traditional hierarchies while offering new engagement possibilities. Data journalism amplifies storytelling, but demands increased digital and statistical literacy among journalists. Promoting media literacy in society is essential for effectively navigating the digital information landscape. In conclusion, this article offers insights into contemporary journalism's challenges and prospects in the digital age. Addressing the evolving roles of journalists, the impact of social media, the rise of data journalism, and the importance of media literacy provide valuable guidance for practitioners, scholars, and media consumers. In navigating the digital frontier, journalists and media entities can maintain their pivotal roles as trusted sources of information in an ever-evolving media ecosystem.

Technological developments have changed the distribution pattern and access to information from conventional to digital media. Hence, digital journalism has an impact on the media industry and journalists. The purpose of this research is to analyze the transformation and challenges of digital journalism from the perspective of journalists in Aceh. This research uses a desciptive qualitative approach. Interviews were conducted with ten journalists in Aceh from print, radio, television, and online media. Validity of the data was tested using the technique of triangulation of sources and data analysis of the Miles and Huberman models, namely data reduction, presentation, and verification. The results of journalism platform research in the digital era adapt to media convergence. The journalism format incorporates text, video, and images. The challenge is maintaining the quality of journalism, both credibility, and accuracy. Journalists must improve their abilities and skills in using digital technology in order to survive.

… journalism’s professional logic and its industrial production. These conceptual approaches, distinct yet interrelated, show “how journalists and news media organizations are seeking to …

Computer-mediated communication (CMC), and specifically social media, may affect the mental health (MH) and well-being of its users, for better or worse. Research on this topic has accumulated rapidly, accompanied by controversial public debate and numerous systematic reviews and meta-analyses. Yet, a higher-level integration of the multiple disparate conceptual and operational approaches to CMC and MH and individual review findings is desperately needed. To this end, we first develop two organizing frameworks that systematize conceptual and operational approaches to CMC and MH. Based on these frameworks, we integrate the literature through a meta-review of 34 reviews and a content analysis of 594 publications. Meta-analytic evidence, overall, suggests a small negative association between social media use and MH. However, effects are complex and depend on the CMC and MH indicators investigated. Based on our conceptual review and the evidence synthesis, we devise an agenda for future research in this interdisciplinary field.

Huifen Lin, National Tsing Hua University This meta-analysis reports the results of a systematic synthesis of primary studies on the effectiveness of computer-mediated communication (CMC) in second language acquisition (SLA) for the period 2000-2012. By extracting information on 21 features from each primary study, this meta-analysis intends to summarize the CMC research literature for the past decade by calculating an average effect size and performing a series of moderator analyses to factor out elements that might mediate the effect of such media in SLA. In total, 59 studies were identified as eligible after excluding three outlier studies, covering both published and unpublished studies. All studies were coded for learner characteristics (5 features), methodological characteristics (14 features) and publication characteristics (2 features), six of which were further analyzed as moderator variables. The results show that (a) there was a positive and medium overall effect for CMC used for instructional/learning purposes in SLA, (b) among the four language skills which CMC was intended to facilitate, writing skills produced the largest effect size, as did pragmatic competence, among the three language components, i.e. pragmatics, vocabulary and pronunciation explored in this meta-analysis; however this result should be interpreted as tentative since only one study measured pragmatic competence in the current metaanalysis, and (c) smaller group studies produced a larger effect size than those using larger groups or no grouping.

… studies that have empirically tested the impact of electronic communication on negotiators' … -mediated communication on negotiators' behavior. The influence of communication medium …

… This literature review of research on health-related computer-mediated support groups links … computer-mediated communication research. The article exams computermediated support …

… When are the effects of computer-mediated communication (CMC… actual channel effects on communication behavior past the … -effects theories without dealing squarely with the empirical …

… We now present some general conclusions and suggest future theoretical and empirical work that needs to be done on mediated communication. One of our initial orienting questions …

… The results also showed that, when operating under a time constraint, FTF was preferred over computer-mediated communication due to the relative immediacy of feedback and …

The current study reports on a meta-analysis of the relative effectiveness of interaction in synchronous computer-mediated communication (SCMC) and face-to-face (FTF) contexts. The primary studies included in the analysis were journal articles and dissertations completed between 1990 and 2012 (k= 14). Results demonstrate that interaction in SCMC and FTF had a significant impact on second language (L2) development, providing further support for previous research demonstrating the efficacy of interaction in both communication modes (e.g., Mackey &amp; Goo, 2007; Pellettieri, 2000; Smith, 2004, 2005). There was also a small advantage for interaction in SCMC on measures of overall L2 learning outcomes, with additional analyses indicating a small advantage for SCMC interaction on productive and written measures and a small advantage for FTF interaction on receptive and oral learning outcomes. Interestingly, there were no significant differences between SCMC and FTF, suggesting the mode of communication has no statistically significant impact on the positive developmental benefits associated with interaction.

… experiment that uses written and computer-mediated communication in a stylized setting in which … Based on availability of social cues, the empirical evidence indicates that CMC is not …

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.

… -mediated communication (CMC), we map SRM components onto social psychological processes susceptible to medium effects: (… for CMC research with an empirical example (data and …

… However, we know of no prior study demonstrating the independence of these factors in electronically mediated communication. The present study provides empirical support for the …

… of computer-mediated communication are becoming critical research topics. This … communication, illustrates one empirical approach for investigating its social psychological effects, …

… to test the proposed framework with empirical evidence. The findings … effects on student-student interactions and vocabulary learning. We are able to both theoretically and empirically …

… researchers who pursue computational social science in the age of big data. … by computational social science as a specific subcategory of work on big data. It is an approach to social …

… With this in mind, we ask, What does this turn toward computational social science mean for … remain relevant in the turn toward computational social science, a hybrid approach must be …

Simultaneous developments in big data, social media, and computational social science have set the stage for how we think about and understand interpersonal and mass communication. This article explores some of the ways that these developments generate 4 hypothetical “vectors” – directions – into the next generation of communication research. These vectors include developments in network analysis, modeling interpersonal and social influence, recommendation systems, and the blurring of distinctions between interpersonal and mass audiences through narrowcasting and broadcasting. The methods and research in these arenas are occurring in areas outside the typical boundaries of the communication discipline but engage classic, substantive questions in mass and interpersonal communication.

Social networking Web sites are amassing vast quantities of data and computational social science is providing tools to process this data. The combination of these two factors has significant implications for individuals and society. With announcements of growing data aggregation by both Google and Facebook, the need for consideration of these issues is becoming urgent. Just as Web 2.0 platforms put publishing in the hands of the masses, without adequate safeguards, computational social science may make surveillance, profiling, and targeting overly accessible. The academic study of computational social science explains the field as an interdisciplinary investigation of the social dynamics of society with the aid of advanced computational systems. Such investigation can operate at the macro level of global attitudes and trends, down to the personal level of an individual’s psychology. This paper uses the lenses of computation social science to consider the uses and dangers that may result from the data aggregation social media companies are perusing. We also consider the role ethics and regulation may play in protecting the public.

Abstract Comparing and contrasting qualitative and quantitative methods for social media data exploration, this article describes and demonstrates the topic modeling approach for the descriptive analysis of large unstructured text data. Using a sample of tweets with the #WhyIStayed and #WhyILeft hashtags (n = 3,068), a Twitter conversation describing the reasons individuals left or stayed in abusive relationships, a traditional thematic analysis was used to qualitatively code the tweets. The same tweet sample was subject to a series of quantitative topic models. Results suggest topic modeling as a comparable approach to first-round qualitative analysis, with key differences: topic modeling and traditional thematic analysis are both inductive and phenomenon-oriented, but topic modeling results in a lexical semantic analysis, in contrast to the compositional semantic analysis offered by the qualitative approach. An evaluation of topics and codes using the Linguistic Inquiry and Word Count (LIWC) software further supports these findings. We argue topic modeling is a useful method for the descriptive analysis of unstructured social media data sets, and is best used as part of a mixed-method strategy, with topic model results guiding deeper qualitative analysis. Implications for human service intervention development and evaluation are discussed.

… work & social computing With the widespread proliferation of social media tools such as … records of social behavior from blogs, social media, and social networking sites, to study ... …

… of social behavior from blogs, social media, and social networking sites, to study human social … to in various research circles as “computational social science”, provides an exciting and …

When the world’s countries agreed on the 2030 Agenda for Sustainable Development, they recognized that equity and inclusion should be at the center of implementing the 17 Sustainable Development Goals (SDGs). SDG 15, which calls for protecting, restoring, and promoting the sustainable use of terrestrial ecosystems, has spurred commitments to restore 350 million hectares of land by 2030. These commitments, primarily made in a top-down manner at the international scale, must be implemented by actively engaging individual landholders and local communities. Ensuring that diverse and marginalized audiences are engaged in the land restoration movement is critical to equitably distributing the economic benefits of restoration. This publication uses social network analysis and machine learning to understand how important the voices of Africans, women, and young people are in governing restoration in Africa. We analyze location- and machine learning-identified demographics from Twitter data collected during the Global Landscapes Forum (GLF), which is the world’s largest platform for promoting sustainable land use practices. Our results suggest that convening the GLF in Nairobi, Kenya elevated the voices of African leaders in comparison to the previous GLF in Bonn, Germany. We also found significant demographic differences in topic-level engagement between different ages, races, and genders. The primary contributions of this paper are a novel methodology for quantifying demographic differences in social media engagement and the application of social media and social network analysis to provide critical insights into the inclusivity of a large political conference aimed at engaging youth and African voices.

ABSTRACT Contemporary research on health communication has been marked by the presence of big data and computational social science (CSS) techniques. The relative novelty of these approaches makes it worthwhile to consider their status and potential for advancing health communication scholarship. This essay offers an introduction focusing on how big data and CSS techniques are being employed to study health communication and their utility for theory development. Key trends in this body of research are summarized, including the use of big data and CSS for examining public perceptions of health conditions or events, investigating network-related dimensions of health phenomena, and illness monitoring. The implications of big data and CSS for health communication theory are also evaluated. Opportunities presented by big data and CSS to help extend existing theories and build new communication theories are discussed.

ABSTRACT The challenge of disentangling political communication processes and their effects has grown with the complexity of the new political information environment. But so have scientists’ toolsets and capacities to better study and understand them. We map the challenges and opportunities of developing, synthesizing, and applying data collection and analysis techniques relying primarily on computational methods and tools to answer substantive theory-driven questions in the field of political communication. We foreground the theoretical, empirical, and institutional opportunities and challenges of Computational Communication Science (CCS) that are relevant to the political communication community. We also assess understandings of CCS and highlight challenges associated with data and resource requirements, as well as those connected with the theory and semantics of digital signals. With an eye to existing practices, we elaborate on the key role of infrastructures, academic institutions, ethics, and training in computational methods. Finally, we present the six full articles and two forum contributions of this special issue illustrating methodological innovation, as well as the theoretical, practical, and institutional relevance and challenges for realizing the potential of computational methods in political communication.