Search Results (16)

Scientific disinformation has emerged as a critical challenge at the interface of science and society. This paper examines how false or misleading scientific content proliferates across both social media and traditional media and evaluates strategies to counteract its spread. We conducted a comprehensive literature review of research on scientific misinformation across disciplines and regions, with particular focus on climate change and public health as exemplars. Our findings indicate that social media algorithms and user dynamics can amplify false scientific claims, as seen in case studies of viral misinformation campaigns on vaccines and climate change. Traditional media, meanwhile, are not immune to spreading inaccuracies—journalistic practices such as sensationalism or “false balance” in reporting have at times distorted scientific facts, impacting public understanding. We review efforts to fight disinformation, including technological tools for detection, the application of inoculation theory and prebunking techniques, and collaborative approaches that bridge scientists and journalists. To empower individuals, we propose practical guidelines for critically evaluating scientific information sources and emphasize the importance of digital and scientific literacy. Finally, we discuss methods to quantify the prevalence and impact of scientific disinformation—ranging from social network analysis to surveys of public belief—and compare trends across regions and scientific domains. Our results underscore that combating scientific disinformation requires an interdisciplinary, multi-pronged approach, combining improvements in science communication, education, and policy. We conducted a scoping review of 85 open-access studies focused on climate-related misinformation and disinformation, selected through a systematic screening process based on PRISMA criteria. This approach was chosen to address the lack of comprehensive mappings that synthesize key themes and identify research gaps in this fast-growing field. The analysis classified the literature into 17 thematic clusters, highlighting key trends, gaps, and emerging challenges in the field. Our results reveal a strong dominance of studies centered on social media amplification, political denialism, and cognitive inoculation strategies, while underlining a lack of research on fact-checking mechanisms and non-Western contexts. We conclude with recommendations for strengthening the resilience of both the public and information ecosystems against the spread of false scientific claims. Full article

Author Gender Identification (AGI) is an extensively studied subject owing to its significance in several domains, such as security and marketing. Recognizing an author’s gender may assist marketers in segmenting consumers more effectively and crafting tailored content that aligns with a gender’s preferences. Also, in cybersecurity, identifying an author’s gender might aid in detecting phishing attempts where hackers could imitate individuals of a specific gender. Although studies in Arabic have mostly concentrated on written dialects, such as tweets, there is a paucity of studies addressing Modern Standard Arabic (MSA) in journalistic genres. To address the AGI issue, this work combines the beneficial properties of natural language processing with cutting-edge deep learning methods. Firstly, we propose a large 8k MSA article dataset composed of various columns sourced from news platforms, labeled with each author’s gender. Moreover, we extract and analyze textual features that may be beneficial in identifying gender-related cues through their writings, focusing on semantics and syntax linguistics. Furthermore, we probe several innovative deep learning models, namely, Convolutional Neural Networks (CNNs), LSTM, Bidirectional LSTM (BiLSTM), and Bidirectional Encoder Representations from Transformers (BERT). Beyond that, a novel enhanced BERT model is proposed by incorporating gender-specific textual features. Through various experiments, the results underscore the potential of both BERT and the textual features, resulting in a 91% accuracy for the enhanced BERT model and a range of accuracy from 80% to 90% accuracy for deep learning models. We also employ these features for AGI in informal, dialectal text, with the enhanced BERT model reaching 68.7% accuracy. This demonstrates that these gender-specific textual features are conducive to AGI across MSA and dialectal texts. Full article

Media self-censorship related to war and military conflict is usually analysed by evaluating the journalistic practices of the countries involved in the war. The objective of this study is to explore how the self-censorship of Latvian public service media (Latvian Radio and Latvian Television) employees developed in response to changes in the internal socio-political discourse after Russia’s full-scale invasion in Ukraine, because of which the Latvian PSM found themselves in the crossfire of long-term criticism and attacks by politicians and audience representatives. Employing semi-structured interviews and qualitative content analysis, this study analyses the perception of self-censorship at all levels (journalists, producers, programme hosts, editors) (15 informants), factors that influence the development of self-censorship, informants’ coping strategies, and the impact of self-censorship on PSM content (78 items of content on various channels and platforms). The conceptual framework of this study is based on Bourdieu’s field theory and Spiral of Silence Theory, exploring how self-censorship affects journalists’ professional habitus, social capital, and agency. The results of this study show that, although Latvia is not involved in the nearby war, politician- and audience member-driven self-censorship affects PSM platforms’ daily agenda, source selection, and editorial line, reducing the diversity and pluralism of PSM content. Full article

This study investigates the profiles, practices, and perspectives of leading climate and environmental journalists from Aotearoa New Zealand. Based upon semi-structured interviews, this study discusses the state of national climate and environmental reportage, as well as possible and desired futures in the round, as responses to the rapidly emerging climate and biodiversity emergency. Within a comparatively small national media ecosystem, the interviews reveal a diversity of backgrounds and degrees of scientific expertise, a collegial relationship amongst the journalists, and a relatively high degree of autonomy in their respective newsrooms. The research notes the journalists believe climate and environmental reportage has increased in Aotearoa New Zealand in recent years although the level of coverage is still insufficient, and there are ongoing struggles to locate climate and environmental journalism within existing news frames. The interview discussion also explores features of reportage such as source relations, workload pressures, and audience engagement. This study explores how journalists negotiate their personal commitments to environmental change within the context of their professional practice. It also discusses the issue of advocacy reportage in climate and environmental journalism and possible critiques of existing journalistic practices and dominant news frames within the contexts of a climate and biodiversity emergency. Full article

Because of China’s new wave of COVID-19 in May 2023, the issue of tackling COVID-19 misinformation remains relevant. Based on Lippmann’s theory of public opinion and agenda setting theory, this article aims to examine the concept of digital pseudo-identification as a type of logical fallacy that refers to supporting journalists’ opinions with ‘false’ arguments that lack factual evidence. To do so, the study applied computer-aided content analysis, as well as rhetorical and critical discourse analyses, to examine 400 articles related to four COVID-19 vaccines (‘Oxford-AstraZeneca’, ‘Pfizer-BioNTech’, ‘Sputnik V’ and ‘Sinovac’) published on the online versions of two major British and American mainstream media sources between August 2020 and December 2021. The results of the study show that journalists of the ‘The New York Times’ and ‘The Guardian’ used similar logical fallacies, including the opinions of pseudo-authorities and references to pseudo-statistics and stereotypes, which contributed to creating distorted representations of the COVID-19 vaccines and propagating online misinformation. The study also reveals political bias in both of the mainstream media sources, with relatively more positive coverage of the European vaccines than non-European vaccines. The findings have important implications for journalism and open up perspectives for further research on the concept of digital pseudo-identification in the humanities and social sciences. Full article

During the COVID-19 pandemic, online media were the most widely used sources of scientific information. Often, they are also the only ones on science-related topics. Research has shown that much of the information available on the Internet about the health crisis lacked scientific rigor, and that misinformation about health issues can pose a threat to public health. In turn, millions of Catholics were found to be demonstrating against vaccination against COVID-19 based on “false” and misleading religious arguments. This research analyses publications about the vaccine in Catholic online media with the aim of understanding the presence of information (and misinformation) in this community. An algorithm designed for each media outlet collected COVID-19 vaccine-related publications from 109 Catholic media outlets in five languages. In total, 970 publications were analysed for journalistic genres, types of headlines and sources of information. The results show that most publications are informative and most of their headlines are neutral. However, opinion articles have mostly negative headlines. Furthermore, a higher percentage of the opinion authors come from the religious sphere and most of the sources cited are religious. Finally, 35% of the publications relate the vaccine to the framing issue of abortion. Full article

Spain has been one of the most severely impacted countries by COVID-19. Vaccination against COVID-19 is one of the most successful preventive strategies. However, some citizens show vaccine resistance, in part due to widespread disinformation that has been disseminated since the pandemic’s start. The objective of this study was to explore the characteristics of the Spanish population in terms of their use of traditional and social media for COVID-19 vaccine-related information. A countrywide survey was conducted in June 2022 following a descriptive cross-sectional analysis. Respondents declared that 80.4% had received the full schedule of COVID-19 vaccination, and over 60% would take the booster dosage without hesitation. The major reasons for not having the booster vaccine were possible health risks (37%), and a lack of trust in the COVID-19 vaccines (29%). More than 85% of respondents closely followed the news on this topic, with the journalistic media (27%) and health authorities (26%) considered to be the most important sources for pandemic information, while social media was considered by 9% of respondents. Further collaboration between the media and health professionals, as well as campaigns to enhance vaccination uptake of the COVID-19 booster dose, might be considered in future strategies. Full article

This article analyzes the representation of women in Chinese news reports about COVID-19 in order to examine the consequences of the pandemic on gender relations in China. It draws on the linguistic framework of appraisal theory for identifying evaluative language and takes Chinese news reports on the COVID-19 frontline in 2020 as the major data sources. The study finds that while the narrative about women’s capacity in combating the virus, resolution in the face of adversity, and sense of responsibility help build a shared feeling of community to reconstruct the disturbed social order, the descriptions about the evaluation and feelings of female characters lead to undesirable outcomes in gender relations in China. Specifically, the newspapers’ reports on COVID-19 mainly focus on group interests and accomplishments and overlook women’s contributions in containing the pandemic. Meanwhile, the news reports devoted to constructing model female characters that highlight transcendent qualities place considerable pressure on everyday women. Furthermore, journalists tend to infuse their reports with gender bias when depicting women, including aesthetic appreciation of appearance and a focus on emotional reactions and domestic roles, which hinders the professional identity of women. This article sheds light on gender relations in China amid the pandemic, as well as the study of gender equality in media discourse. Full article

Governments need to be accountable and transparent for their public spending decisions in order to prevent losses through fraud and corruption as well as to build healthy and sustainable economies. Open data act as a major instrument in this respect by enabling public administrations, service providers, data journalists, transparency activists, and regular citizens to identify fraud or uncompetitive markets through connecting related, heterogeneous, and originally unconnected data sources. To this end, in this article, we present our experience in the case of Slovenia, where we successfully applied a number of anomaly detection techniques over a set of open disparate data sets integrated into a Knowledge Graph, including procurement, company, and spending data, through a linked data-based platform called TheyBuyForYou. We then report a set of guidelines for publishing high quality procurement data for better procurement analytics, since our experience has shown us that there are significant shortcomings in the quality of data being published. This article contributes to enhanced policy making by guiding public administrations at local, regional, and national levels on how to improve the way they publish and use procurement-related data; developing technologies and solutions that buyers in the public and private sectors can use and adapt to become more transparent, make markets more competitive, and reduce waste and fraud; and providing a Knowledge Graph, which is a data resource that is designed to facilitate integration across multiple data silos by showing how it adds context and domain knowledge to machine-learning-based procurement analytics. Full article

The exposure to relevant social and/or historical events can increase the generation of false memories (FMs). The Coronavirus Disease 2019 (COVID-19) pandemic is a calamity challenging health, political, and journalistic bodies, with media generating confusion that has facilitated the spread of fake news. In this respect, our study aims at investigating the relationships between memories (true memories, TMs vs. FMs) for COVID-19-related news and different individual variables (i.e., use of traditional and social media, COVID-19 perceived and objective knowledge, fear of the disease, depression and anxiety symptoms, reasoning skills, and coping mechanisms). One hundred and seventy-one university students (131 females) were surveyed. Overall, our results suggested that depression and anxiety symptoms, reasoning skills, and coping mechanisms did not affect the formation of FMs. Conversely, the fear of loved ones contracting the infection was found to be negatively associated with FMs. This finding might be due to an empathy/prosociality-based positive bias boosting memory abilities, also explained by the young age of participants. Furthermore, objective knowledge (i) predicted an increase in TMs and decrease in FMs and (ii) significantly mediated the relationships between the use of social media and development of both TMs and FMs. In particular, higher levels of objective knowledge strengthened the formation of TMs and decreased the development of FMs following use of social media. These results may lead to reconsidering the idea of social media as the main source of fake news. This claim is further supported by either the lack of substantial differences between the use of traditional and social media among participants reporting FMs or the positive association between use of social media and levels of objective knowledge. The knowledge about the topic rather than the type of source would make a difference in the process of memory formation. Full article

The proliferation of fact-checking services is a fast-growing global phenomenon, especially in Western countries. These services are the response of journalism to disinformation, that has transformed a common internal procedure of journalistic work in the core of a business directed to the general public, also offered to the companies of mass media and social media. Literature review shows that the research on fact-checking has focused on the origin, funding, relationship with the media, procedures, and experiences related to politics and COVID-19. However, the ownership structure of the fact-checking services has been superficially analysed and the business model of these platforms has not yet been studied in detail and depth. The objective of this article is to identify and analyse the business model of the nine Spanish active fact-checking services through a documentary research of public information sources and the information that these services give about themselves. This paper explains their ownership structure and income provenance, from open information sources. The findings are that the fact-checking services that depend on media groups are no strangers to the trend of opacity usual in these groups, but in the case of fact-checking services that are born as initiatives of journalists, the trend towards transparency is, in the majority of cases, clear. However, the information provided by the Spanish fact-checking services is deficient and does not allow us to discover their business models, except in the case of Newtral and, to a certain extent, Maldita. Full article

Decades of medical research have focused on analysing the effects of sustainable eating on health and well-being; yet, less attention has been devoted to this subject in communication and media studies research. Recently, however, scholarly attention has shifted towards the way sustainable food is covered in the media. Nevertheless, previous studies analyse sustainable food together with other sustainability challenges, such as climate change. In this article, we focus our attention on analysing media reporting of sustainable food. Relying theoretically on the framing analysis approach coupled with Goody’s five-phase analytical framework in building sustainable food-related behaviours (production, distribution, preparation, consumption and disposal) and by applying the rationale of content analysis, this article examines media coverage of sustainable food with a focus on sustainable food production, distribution, preparation, consumption and disposal. Therefore, the article identifies trends and patterns of media coverage of sustainable food in Romania between 2014 and 2017. Interesting results emerge, showing that Romanian journalists reporting on food-related topics do not have a solid understanding of the field and contribute to the spread of inaccurate information often, resulting from insufficient research or inadequate use of sources. As a result of the lack of in-depth knowledge of those involved in writing about food, the media coverage of sustainable food is strictly reduced to reporting on aspects related to the consumption of fresh fruit and vegetables, framed as the only healthy foods, and recommended diets for specific underlying health conditions (such as obesity, diabetes, hypertension and associated diseases). Full article

The study of the quality press and the use of sources is relevant to understand the role of journalists in scientific controversies. The objective was to examine media sourcing patterns, using the case of vaccines as a backdrop. Articles were retrieved from the national quality press in Spain. Content analysis was undertaken on the sources and on other variables such as tone, frames and journalistic genre. The software myNews and NVivo were used for data collection and coding, while SPSS and Excel were used for statistical analysis. Findings indicate that sources related to the government, professional associations and scientific companies are the most frequently used, confirming the central role of government institutions as journalistic sources. These were followed by university scientists, scientific journals and clinicians. On the other hand, NGOs and patients groups were included in fewer than 5% of the articles. More than 30% included none or just one source expressing unbalanced perspectives. Frequent use of certain source types, particularly governmental, may indicate state structures of power. The study provides a better understanding of journalistic routines in the coverage of vaccines, including fresh perspectives in the current COVID-19 pandemic. Full article

Organizations, companies and start-ups need to cope with constant changes on the market which are difficult to predict. Therefore, the development of new systems to detect significant future changes is vital to make correct decisions in an organization and to discover new opportunities. A system based on business intelligence techniques is proposed to detect weak signals, that are related to future transcendental changes. While most known solutions are based on the use of structured data, the proposed system quantitatively detects these signals using heterogeneous and unstructured information from scientific, journalistic and social sources, applying text mining to analyze the documents and natural language processing to extract accurate results. The main contributions are that the system has been designed for any field, using different input datasets of documents, and with an automatic classification of categories for the detected keywords. In this research paper, results from the future of remote sensors are presented. Remote sensing services are providing new applications in observation and analysis of information remotely. This market is projected to witness a significant growth due to the increasing demand for services in commercial and defense industries. The system has obtained promising results, evaluated with two different methodologies, to help experts in the decision-making process and to discover new trends and opportunities. Full article

The substitution of traditional energy production with renewable energy sources (RES) in the European Union (EU) represents a multidimensional issue with its pros and cons viewed differently by governments, technology companies, markets, as well as the general public. There are significant public doubts in expediency of investments in renewables in place. Our paper studies the factors related to the public opinion on renewables using a reasonable and representative sample of respondents (N = 1026) from one of the EU Member States, the Czech Republic, via a set of ordinal regression analyses with spline correction for ordinal predictors. Our results suggest that the population of the Czech Republic is split in half in its trust in renewables as a substitute to traditional energy sources. In addition, our results show that the opinions on renewables in the Czech Republic are significantly related to personal concerns on environmental protection and worries about use of nuclear energy. Moreover, we find that traditional mass media is not statistically significant, even though internet news channels and social media were statistically related to the opinions (negatively and positively, respectively). The comparison of the responses with respect to the frequency of following social media support the hypothesis of the media bubble. The empirical results indicate that public opinions on renewables are likely to be built on the information sources vulnerable to hoaxes, bubbles, and misinformation. We conclude that more media presentation on RES is needed and make some practical suggestions for the stakeholders, journalists, and relevant policymakers. Full article