In Service of News Subscribers: Exploring Belgian Journalists’ Perceptions of Stakeholder Relations in the Digital News Ecosystem

This qualitative paper contends that as news media are faced with growing commercial pressures and changing news consumption habits, they need to rethink their relationship with two of their main stakeholders: readers and advertisers. Multi-stakeholder marketing provides a useful conceptual framework for such an exercise, since it invites media practitioners to reconcile the conflicting interests of different stakeholders. This study aims to understand journalists’ levels of multi-stakeholder thinking regarding advertisers and readers. To explore how contemporary journalists see their role with regard to distinct stakeholders in the news ecosystem, we interviewed 14 Belgian journalists working for legacy and digital native news media. The goal of this exploratory study is to examine (1) how journalists perceive and rethink their dependence on readers and advertisers in the digital news ecosystem and (2) how their perception of the digital news ecosystem influences their attitudes towards these stakeholders. Findings indicate that journalists tend to see the value of readers in monetary terms and believe increasing reader revenue will help journalism survive. Other types of reader value (feedback, expertise, and content) are peripheral. This focus on subscribers also seems to coincide with a devaluation of other stakeholders like advertisers and non-paying readers.

Twitter Engagement in Media Organizations: The Case of the Greek National Broadcasting Corporation

A key parameter in the strategy of news organizations remains the exploitation of factors (such as post time and post type) that enhance the engagement level within online communities on social media. The purpose of this paper is to examine the relationship between post time and post type in correlation with audience response in the Twitter digital platform. Specifically, the study aims to ascertain how the two specific variables affect user engagement with its Twitter posts and how they shape the effectiveness of communication on social networks. The analysis includes 7.122 tweets of the Greek National Broadcasting Corporation (ERT) over four months. Moreover, the study analyzes the tone of user comments on the Twitter posts of the specific public media organizations to understand in-depth how the users communicate their views publicly. The collection of comments lasted seven weeks and they numbered 265 in 2639 tweets. Regarding the post time variable, the study came to important findings on user behavior during the 24 h, as the number of Retweets appears to increase in the morning compared to the afternoon. It was also found that as time goes on, the user is interested in leaving his personal opinion. Regarding the correlation of post type with user engagement, it was found that the accompaniment of a tweet with audiovisual material has a tempting effect on users.

Fake News Explosion in Portugal and Brazil the Pandemic and Journalists’ Testimonies on Disinformation

Orchestrated manipulations spread lies and can create an environment of uncertainty in society, leading to concerns from politicians, scholars, educators, and journalists, among others. In this paper we explore what the emergence of fake news (understood as false news) represents for journalists, trying to answer the following question: Does false news pose a threat to the credibility of good journalism, causing a disruption of the traditional work? To answer it, we interviewed a sample of journalists from various media organizations in Portugal and Brazil. Among the main findings, journalists are aware that fake news is a problem to be faced, as the blame for the dissemination of false news erroneously lies with the profession. They are conscious that something must be done and agree that the best way to fight against fake news is to invest in media literacy. Most of the journalists of our sample think they must be also more cautious to check sources for veracity and for political motivations. The results show that there is a resolve to reinforce the role of journalism in society.

The Normative World of Memes: Political Communication Strategies in the United States and Ecuador

The media convergence model presents an environment in which everyone produces information without intermediates or filters. A subsequent insight shows that users (prosumers) —gathered in networked communities—also shape messages’ flow. Social media play a substantial role. This information is loaded with public values and ideologies that shape a normative world: social media has become a fundamental platform where users interact and promote public values. Memetics facilitates this phenomenon. Memes have three main characteristics: (1) Diffuse at the micro-level but shape the macrostructure of society; (2) Are based on popular culture; (3) Travel through competition and selection. In this context, this paper examineshow citizens from Ecuador and the United States reappropriate memes during a public discussion? The investigation is based on multimodal analysis and compares the most popular memes among the United States and Ecuador produced during the candidate debate (Trump vs. Biden [2020] and Lasso vs. Arauz [2021]). The findings suggest that, during a public discussion, it is common to use humor based on popular culture to question authority. Furthermore, a message becomes a meme when it evidences the gap between reality and expectations (normativity). Normativity depends on the context: Americans complain about the expectations of a debate; Ecuadorians, about discourtesy and violence.

Artificial Intelligence in News Media: Current Perceptions and Future Outlook

In recent years, news media has been greatly disrupted by the potential of technologically driven approaches in the creation, production, and distribution of news products and services. Artificial intelligence (AI) has emerged from the realm of science fiction and has become a very real tool that can aid society in addressing many issues, including the challenges faced by the news industry. The ubiquity of computing has become apparent and has demonstrated the different approaches that can be achieved using AI. We analyzed the news industry’s AI adoption based on the seven subfields of AI: (i) machine learning; (ii) computer vision (CV); (iii) speech recognition; (iv) natural language processing (NLP); (v) planning, scheduling, and optimization; (vi) expert systems; and (vii) robotics. Our findings suggest that three subfields are being developed more in the news media: machine learning, computer vision, and planning, scheduling, and optimization. Other areas have not been fully deployed in the journalistic field. Most AI news projects rely on funds from tech companies such as Google. This limits AI’s potential to a small number of players in the news industry. We made conclusions by providing examples of how these subfields are being developed in journalism and presented an agenda for future research.

Thematic Patterns of Disinformation about COVID-19: The Framing of Checks in the Fato ou Fake and Lupa Agencies

This article, which integrates broader research, aims to identify the fake news patterns propagated in the process of disinformation about COVID-19 that were evaluated by the Brazilian fact-checking agencies Fato or Fake and Lupa. Aiming at this goal, we considered the strategies for spreading false information about the disease from January to September 2020. As a methodology, we used part of the procedures associated with media framing, focusing on the themes and labels of the checked information. Politics and death were the two main issues in misinformation assessed by the agencies, closely followed by themes related to cure and prevention. Personalities were particularly relevant at Lupa. The high frequency of the political issue reveals the ideological polarization that Brazil is experiencing, leading to global health crises such as the new coronavirus pandemic.

Verification Systems and Programs in Regional Television Stations That Are Members of the CIRCOM Network

Disinformation and the proliferation of fake news are global problems that affect the stability of democracies throughout the world. The capacity of distorted information to interfere in election processes or in political agendas has led different actors to create verification initiatives, which operate in partnership with the mass media. Recently, during the 2020 health crisis, false information has proved to have damaging power not only at the levels of politics or communication, but also at a health level. Therefore, the social need to access reliable and quality information, as well as verified information aimed at eradicating hoaxes, becomes evident. This paper focuses on the European context, analyzing the relationship between active verifiers and television stations that are members of the CIRCOM Network, considering their strategies and verification programs. Using a qualitative methodology an exploratory study has been carried out, mapping initiatives and stations by assessing their contribution of verified information to society.

Exo Journalism: A Conceptual Approach to a Hybrid Formula between Journalism and Artificial Intelligence

The irruption of artificial intelligence (AI) and automated technology has substantially changed the journalistic profession, transforming the way of capturing, processing, generating, and distributing information; empowering the work of journalists by modifying the routines and knowledge required by information professionals. This study, which conceptualizes the “exo journalism” on the basis of the impact of AI on the journalism industry, is part of a research project of the Observatory for Information Innovation in the Digital Society (OI2). The results, derived from documentary research supported by case studies and in-depth interviews, propose that AI is a source of innovation and personalization of journalistic content and that it can contribute to the improvement of professional practice, allowing the emergence of a kind of "exo journalist", a conceptual proposal that connects the possibilities of AI with the needs of journalism’s own productive routines. The end result is the enhancement of the journalist’s skills and the improvement of the news product. The research focuses on conceptualizing a kind of support and complement for journalists in the performance of their tasks based on the possibilities of AI in the automatic generation of content and data verification.

Empathy Cultivation through (Pro)Social Media: A Counter to Compassion Fatigue

While a sizable body of literature suggests that repeated exposure to images of suffering may provoke compassion fatigue and news avoidance in audiences, this paper examines whether a different kind of representation can allow viewers to connect with the subjects of media coverage, cultivating empathy for them. The hope is that understanding the emotional impact of the way people are represented in news stories will help journalists better serve the public’s need for what Schudson called “social empathy”, “stories that—often in a human-interest vein—inform citizens about neighbors and groups they may not know or understand” and create a space where audiences can express positive emotions about their fellow citizens. This paper considers the reactions of followers of the “Humans of New York” (HONY) social media feed to the subjects of the feed’s posts, who are not portrayed as tragic victims, but humanized through portrayals of commonplace concerns, such as family, career, and romantic relationships. Comments on more than 8000 HONY posts over a year were analyzed using the Linguistic Inquiry Word Count program. Results indicate that comments on HONY are overwhelmingly positive and socially oriented, suggesting that this type of representation may be effective in countering compassion fatigue and allowing for better social connection.

Fewer and Later: Women as Experts in TED Talks about COVID-19

The dissemination of science has undergone a major upsurge in recent years thanks to the Internet, which has served to overcome many of the technical and economic barriers. Among the many initiatives, one of the most successful tools has been the TED Talks website. At the same time, various studies indicate that women produce less science dissemination content and that they are also more likely to receive hostile comments. The objective of this research is to analyze from a gender perspective the content published on the TED Talk website on COVID-19 from 1 March 2020 to 31 March 2021 (n = 62) to determine its characteristics and the topics addressed, as well as the resulting engagement and the predominant feelings of the comments received. To do this, a content analysis of the publications has been carried out, as well as a qualitative analysis of the comments. The results indicate that the percentage of women experts on this platform is slightly lower than that of men (42.19%), and they have published content in later phases of the pandemic. From a qualitative point of view there are also differences, since women mainly opt for a social, political and social approach to the issue. In addition, the engagement of their publications is lower than that of men, although a higher prevalence of negative feelings is perceived in the comments they receive.