Search Results (75)

Fake news has eroded trust in credible news sources, driving the need for tools to verify the accuracy of circulating information. Fact verification addresses this issue by classifying claims as Supports (S), Refutes (R), or Not Enough Info (NEI) based on evidence. Neural Semantic Matching Networks (NSMN) is an algorithm designed for this purpose, but its reliance on BiLSTM has shown limitations, particularly overfitting. This study aims to enhance NSMN for fact verification through a structured framework comprising encoding, alignment, matching, and output layers. The proposed approach employed Siamese MaLSTM in the matching layer and introduced the Manhattan Fact Relatedness Score (MFRS) in the output layer, culminating in a novel algorithm called Deep One-Directional Neural Semantic Siamese Network (DOD–NSSN). Performance evaluation compared DOD–NSSN with NSMN and transformer-based algorithms (BERT, RoBERTa, XLM, XL-Net). Results demonstrated that DOD–NSSN achieved 91.86% accuracy and consistently outperformed other models, achieving over 95% accuracy across diverse topics, including sports, government, politics, health, and industry. The findings highlight the DOD–NSSN model’s capability to generalize effectively across various domains, providing a robust tool for automated fact verification. Full article

The public debate on vaccines has been particularly relevant in Italy due to the introduction of childhood vaccination mandates and anti-COVID-19 vaccines. Our exploratory study focused on (1) identifying the media’s portrayals of childhood and adult vaccination, (2) highlighting the narratives used to portray individuals opposing vaccines and/or vaccine mandates, and (3) investigating the use of the term “No-Vax”. To these aims, we collected 2890 Facebook posts published by the Italian National Press Agency (ANSA) between 1 January 2016 and 31 December 2023, via the (Meta) CrowdTangle application. Data were analyzed using quantitative and qualitative techniques. Results show the presence of four main vaccine-related narratives in the pre-pandemic period (2016–2019)—i.e., vaccination as threatened by fake news, as a lifesaving practice, as a political matter, as a subgroup requirement—and three narratives during the pandemic and post-pandemic period (2020–2023)—depicting vaccinations as a long-awaited achievement, as a social requirement, and as a tool in need of confirmation. The results further show that the term ‘No-Vax’ has some negative connotations and is unable to represent the diversity of vaccine-critical positions. The media’s role in shaping public opinion suggests a need for more nuanced reporting that acknowledges the diversity of views and concerns regarding vaccination. Future research should explore how different media outlets frame vaccine hesitancy and the impact of these narratives on public health communication. Full article

The European Union Drugs Agency has emphasized the increasing difficulty in monitoring the drug market due to the emergence of new psychoactive substances, often marketed as legal highs. The proliferation of fake pharmacies, drugstores, and e-commerce platforms has made access to illicit substances alarmingly rapid and inexpensive. These substances are readily available without medical prescriptions, lacking proper risk assessments or monitoring of potential adverse effects, raising significant public health concerns. Today, the relentless pursuit of validation and success—often, at any cost—has led to an exponential rise in the use of cognitive and mood enhancers. Such substances are frequently consumed to manage demands related to work, diet, sexuality, sleep, achievement, and interpersonal relationships. Consequently, investigating these phenomena is critically important for institutions, as they represent a serious threat to individual development and health. Developing effective preventive and protective systems is essential. This review provides an overview of currently available smart drugs, discussing their desired and adverse neuropharmacological effects, psychological implications, and cognitive decline resulting from their excessive and unregulated use. This review concludes that a multidisciplinary approach combining molecular identification, micro-morphological analysis, and chemical characterization is crucial for the accurate detection, monitoring, and risk mitigation of new psychoactive substances. Full article

In this paper, we present a comprehensive survey on the pervasive issue of medical misinformation in social networks from the perspective of information technology. The survey aims at providing a systematic review of related research and helping researchers and practitioners navigate through this fast-changing field. Research on misinformation spans multiple disciplines, but technical surveys rarely focus on the medical domain. Existing medical misinformation surveys provide broad insights for various stakeholders but lack a deep dive into computational methods. This survey fills that gap by examining how fact-checking and fake news detection techniques are adapted to the medical field from a computer engineering perspective. Specifically, we first present manual and automatic approaches for fact-checking, along with publicly available fact-checking tools. We then explore fake news detection methods, using content, propagation features, or source features, as well as mitigation approaches for countering the spread of misinformation. We also provide a detailed list of several datasets on health misinformation. While this survey primarily serves researchers and technology experts, it can also provide valuable insights for policymakers working to combat health misinformation. We conclude the survey with a discussion on the open challenges and future research directions in the battle against health misinformation. Full article

Fake news has become a significant challenge on online social platforms, increasing uncertainty and unwanted tension in society. The negative impact of fake news on political processes, public health, and social harmony underscores the urgency of developing more effective detection systems. Existing methods for fake news detection often focus solely on one platform, potentially missing important clues that arise from multiple platforms. Another important consideration is that the domain of fake news changes rapidly, making cross-domain analysis more difficult than in-domain analysis. To address both of these limitations, our method takes evidence from multiple social media platforms, enhances our cross-domain analysis, and improves overall detection accuracy. Our method employs the Dempster–Shafer combination rule for aggregating probabilities for comments being fake from two different social media platforms. Instead of directly using the comments as features, our approach improves fake news detection by examining the relationships and calculating correlations among comments from different platforms. This provides a more comprehensive view of how fake news spreads and how users respond to it. Most importantly, our study reveals that true news is typically rich in content, while fake news tends to generate a vast thread of comments. Therefore, we propose a combined method that merges content- and comment-based approaches, allowing our model to identify fake news with greater accuracy and showing an overall improvement of 7% over previous methods. Full article

Introduction: Public health disinformation is a significant problem as demonstrated by the recent scientific literature on the COVID-19 pandemic. However, further studies that analyse the presence of the disinformation mitigation strategies in public health initiatives within specific contexts and which contains a multidimensional approach (gender, social and environmental) are required. Evidence shows that disinformation, information overload, misinformation or fake news on health issues are also influenced by these issues. Objective: The inclusion of the health disinformation dimension within national public implemented by the governments of Argentina and Spain before, during and after the COVID-19 pandemic. Additionally, this paper incorporated a gender-based approach and social and environmental determinants in order to identify the limitations of these initiatives and offer certain recommendations. We conducted a descriptive, qualitative and quantitative study, as well as content analysis. We focused on documents from the websites of the national health ministries of Argentina and Spain, and digital repositories of regulations at the national level. Various strategies for systematic searches on government websites were designed and implemented. This included manual searches on Google. The first step involved a general analysis of all documents found by the searches, followed by a qualitative analysis of the documents that were related to health issues. Based on this work, a comprehensive and flexible framework of (pre-established and emerging) dimensions and categories of health disinformation and infodemics was generated. Results. The work was based on a total of 202 documents (both downloadable information and information included in websites); 117 for Argentina and 85 for Spain. Of the total, 60.9% were published during the COVID-19 pandemic. In the second stage of the analysis, 55 texts were selected for Argentina and 47 for Spain. In both countries, the central communications approach used was disinformation and/or infodemics (although definitions such as fake news were also used). They were mainly linked to the COVID-19 pandemic, but other emerging health problems were also detected to a lesser degree. However, disinformation (or a related concept) was prominently present in only 17 documents in Argentina and 3 documents in Spain. In terms of document type, working materials were foremost in Argentina (44.4%) and Spain (37.6%), with little presence of policy, regulatory and evaluation documents (only 5). Gender binary language was predominantly used in these texts. Vulnerable groups and social determinants were poorly included. Environmental determinants were mentioned in conjunction with health disinformation in only one paper on the use of plastics and its impact on human health in Argentina, and in another paper from the Global Summit on Climate and Health in Spain. Conclusions: Based on the document analysis, the inclusion of health disinformation within public actions in both countries before, during and after the COVID-19 pandemic, was detected. However, different limitations were observed: it was clear that the problem was strongly linked to the health emergency and did not extend much beyond that. Health disinformation was secondary and did not play a key role in public policy nor did it have greater institutional importance. Limitations were also detected in terms of gender perspectives, vulnerable groups and social and environmental determinants linked to health disinformation, displaying a reductionist approach. Based on these results, this paper makes certain policy recommendations. Full article

In an era where misinformation and fake news undermine social well-being, this work provides a complete approach to multi-domain fake news detection. Multi-domain news refers to handling diverse content across various subject areas such as politics, health, research, crime, and social concerns. Recognizing the lack of systematic research in multi-domain fake news detection, we present a fundamental structure by combining datasets from several news domains. Our two-tiered detection approach, BERTGuard, starts with domain classification, which uses a BERT-based model trained on a combined multi-domain dataset to determine the domain of a given news piece. Following that, domain-specific BERT models evaluate the correctness of news inside each designated domain, assuring precision and reliability tailored to each domain’s unique characteristics. Rigorous testing on previously encountered datasets from critical life areas such as politics, health, research, crime, and society proves the system’s performance and generalizability. For addressing the class imbalance challenges inherent when combining datasets, our study rigorously evaluates the impact on detection accuracy and explores handling alternatives—random oversampling, random upsampling, and class weight adjustment. These criteria provide baselines for comparison, fortifying the detection system against the complexities of imbalanced datasets. Full article

In January 2021, Australia initiated a national COVID-19 vaccine rollout strategy but faced setbacks, leading to negative press and media controversy, which may have diminished vaccine confidence. This study aimed to assess the factors influencing vaccine confidence in Australian adults (≥18 years of age) following the administration of a COVID-19 vaccine. Conducted at Blacktown Hospital, Sydney, a cross-sectional survey with 1053 respondents gauged vaccine confidence and influencing factors. The results showed overall high confidence (mean score 33/40). Trusted sources included the Australian Department of Health (77.8%), NSW Health (76.7%), and general practitioners (53.7%), while social media was distrusted (5.9%). The motivations for vaccination varied: university-educated individuals prioritised personal health (X² = 17.81; p < 0.001), while religious and/or older respondents (≥50 years of age) emphasised community (X² = 11.69; p < 0.001) and family protection (X² = 17.314; p < 0.001). Multivariate logistic regression revealed use of the Australian Department of Health website as a trusted source of COVID-19 information as the strongest predictor of high confidence (>30; OR 1.43; p = 0.041), while exposure to fake news decreased confidence (OR 0.71; p = 0.025). The study underscores the importance of reliable health information sources in bolstering vaccine confidence and highlights the detrimental effects of misinformation. Promoting awareness of trustworthy health channels is crucial to combat vaccine hesitancy in Australia. Full article

In the context of increasing online health misinformation, several new approaches have been deployed to reduce the spread and increase the quality of information consumed. This systematic review examines how source credibility labels and other nudging interventions impact online health information choices. PubMed, Embase, Scopus, and Web of Science were searched for studies that present empirical evidence on the impact of interventions designed to affect online health-information-seeking behavior. Results are mixed: some interventions, such as content labels identifying misinformation or icon arrays displaying information, proved capable of impacting behavior in a particular context. In contrast, other reviewed strategies around signaling the source’s credibility have failed to produce significant effects in the tested circumstances. The field of literature is not large enough to draw meaningful conclusions, suggesting that future research should explore how differences in design, method, application, and sources may affect the impact of these interventions and how they can be leveraged to combat the spread of online health misinformation. Full article

Introduction: The onset of the COVID-19 pandemic brought about global uncertainties and fears, escalating the dissemination of fake news. This study aims to analyze the impact of fake news on COVID-19 vaccine adherence among pregnant women, providing crucial insights for effective communication strategies during the pandemic. Methods: A cross-sectional, exploratory study was conducted with 113 pregnant women under care at a Women’s Health Reference Center. Data analysis included relative frequency and odds ratio to assess the relationship between sociodemographic and behavioral variables regarding vaccination. Results: In the behavioral context of vaccination, internet access shows a significant association with decision-making, influencing vaccine refusal due to online information. Nuances in the odds ratios results highlight the complexity of vaccine hesitancy, emphasizing the importance of information quality. Pre-vaccination sentiments include stress (87.61%), fear (50.44%), and anxiety (40.7%), indicating the need for sensitive communication strategies. Discussion: Results revealed that pregnant women with higher education tend to adhere more to vaccination. Exposure to news about vaccine inefficacy had a subtle association with hesitancy, while finding secure sources was negatively associated with hesitancy. The behavioral complexity in the relationship between online information access and vaccination decision underscores the need for effective communication strategies. Conclusions: In the face of this challenging scenario, proactive strategies, such as developing specific campaigns for pregnant women, are essential. These should provide clear information, debunk myths, and address doubts. A user-centered approach, understanding their needs, is crucial. Furthermore, ensuring information quality and promoting secure sources are fundamental measures to strengthen trust in vaccination and enhance long-term public health. Full article

This work analyses the treatment of elements such as biases and their relationship with disinformation in international academic production. The first step in this process was to carry out a search for papers published in academic journals indexed in the main indexing platforms. This was followed by a bibliometric analysis involving an analysis of the production and impact of the selected publications, using social media techniques and a semantic content analysis based on abstracts. The data obtained from Web of Science, Scopus, and Dimensions, relating to health, biases, and fake news as well as post-truth, show how these works have multiplied in the last decade. The question relating to this research is as follows: How have cognitive biases been treated in national and international academic journals? This question is answered with respect to the scientific or research method. The results, which date from 2000 to 2024, show a considerable academic dedication to exploring the relationship between biases and health disinformation. In all these communities we have observed a relationship between production with the field of medicine as a general theme and social media. Furthermore, this connection is always tied to other subjects, such as an aversion to vaccines in Community 10; disinformation about COVID-19 on social media in Community 5; COVID-19 and conspiracy theories in Community 6; and content for the dissemination of health-related subjects on YouTube and the disinformation spread about them. The community analysis carried out shows a common factor in all the analysed communities—that of cognitive bias. Full article

The COVID-19 pandemic heightened concerns about health and safety, leading people to seek information to protect themselves from infection. Even before the pandemic, false health information was spreading on social media. We conducted a review of recent literature in health and social sciences and proposed a theoretical model to understand the factors influencing the spread of false health information. Our focus was on how false health information circulated before and during the pandemic, impacting people’s perceptions of believing information on social media. We identified four possible strategies to counteract the negative effects of false health information: prebunking, refuting, legislation, and media literacy. We argue that improving people’s social media literacy skills is among the most effective ways to address this issue. Our findings provide a basis for future research and the development of policies to minimize the impact of false health information on society. Full article

The proliferation of misinformation presents a significant challenge in today’s information landscape, impacting various aspects of society. While misinformation is often confused with terms like disinformation and fake news, it is crucial to distinguish that misinformation involves, in mostcases, inaccurate information without the intent to cause harm. In some instances, individuals unwittingly share misinformation, driven by a desire to assist others without thorough research. However, there are also situations where misinformation involves negligence, or even intentional manipulation, with the aim of shaping the opinions and decisions of the target audience. Another key factor contributing to misinformation is its alignment with individual beliefs and emotions. This alignment magnifies the impact and influence of misinformation, as people tend to seek information that reinforces their existing beliefs. As a starting point, some 56 papers containing ‘misinformation detection’ in the title, abstract, or keywords, marked as “articles”, written in English, published between 2016 and 2022, were extracted from the Web of Science platform and further analyzed using Biblioshiny. This bibliometric study aims to offer a comprehensive perspective on the field of misinformation detection by examining its evolution and identifying emerging trends, influential authors, collaborative networks, highly cited articles, key terms, institutional affiliations, themes, and other relevant factors. Additionally, the study reviews the most cited papers and provides an overview of all selected papers in the dataset, shedding light on methods employed to counter misinformation and the primary research areas where misinformation detection has been explored, including sources such as online social networks, communities, and news platforms. Recent events related to health issues stemming from the COVID-19 pandemic have heightened interest within the research community regarding misinformation detection, a statistic which is also supported by the fact that half of the papers included in top 10 papers based on number of citations have addressed this subject. The insights derived from this analysis contribute valuable knowledge to address the issue, enhancing our understanding of the field’s dynamics and aiding in the development of effective strategies to detect and mitigate the impact of misinformation. The results spotlight that IEEE Access occupies the first position in the current analysis based on the number of published papers, the King Saud University is listed as the top contributor for the misinformation detection, while in terms of countries, the top-5 list based on the highest contribution to this area is made by the USA, India, China, Spain, and the UK. Moreover, the study supports the promotion of verified and reliable sources of data, fostering a more informed and trustworthy information environment. Full article

Science denialism is characterized by the refusal to accept existing consensus and available evidence. Typical strategies denialists employ include spreading conspiracies, selective use of information, relying on fake experts, or general fallacies in logic. A flood of misinformation, fake news, and conspiracy theories accompanied the COVID-19 pandemic. Simultaneously, it was a subject of many denialistic opinions, from denying the existence of the epidemic challenge to claims that questioned the safety and effectiveness of the COVID-19 vaccines. This study’s main aim was to assess the manifestations of denialism in attitudes toward the preventive measures recommended during the pandemic, with a special focus on vaccination. In-depth interviews were conducted with fifty representatives of the general population, demonstrating diversified opinions about COVID-19 vaccines and other preventive behaviors. The interviews were performed face to face in participants’ houses or at other places they identified as convenient. Some of the interviewees preferred to do the interview via teleconference. The interviews were carried out from November 2022 to March 2023. The interviewees were recruited initially by convenience, and in further stages, the snowball technique was used. The interviewees were residents of four main administrative districts in Poland. Out of 50 participants, 26 were males, 29 were between 18–40, 16 were inhabitants of rural areas, and 28 had a university level of education. The interviews were based on a semi-structured guide that addressed, in addition to views about the origin of the new coronavirus, respondents’ attitudes toward vaccination and sanitary recommendation, the health status of interviewees, their use of healthcare services, and their health behaviors. The interviews were transcribed and analyzed with MAXQDA Analytics Pro 2022 software (Release 22.7.0). Thematic analysis (TA) was applied to the content generated from the interviews. Based on the uptake of the COVID-19 vaccine, the participants were divided into three groups: unvaccinated, hesitant, and vaccinated (18, 4, and 28 interviewees, respectively). The main themes were established based on the TA of the interviews: attitudes toward COVID-19 vaccination, perception of sources of information, and the origin of the new coronavirus. The first theme decidedly drew the greatest attention of the interviewees. There was also a clear relationship between vaccination status and the presence of denialist thinking among interviewees. Interestingly, the role of experts as a key source of information about the pandemic was underlined by study participants. However, the criteria for being an expert differed. The subject of the origin of a new coronavirus was not interesting to interviewees. The analysis of the adherence to preventive measures revealed an interplay of diversified attitudes and motivations. Individuals presenting denialist views most frequently abstained from COVID-19 vaccination. However, such views were also present among those who hesitated or even among those who had been vaccinated. Furthermore, denialism was only one of the determinants of adherence to preventive measures. Full article

Three years after a pandemic that demonstrated the importance of reliable health information in a news agenda dominated by coronavirus disease 2019 (COVID-19), we analyze the situation of health disinformation in Spain on the basis of the verifications carried out by its main fact-checking platforms. The results show that COVID-19 shared center stage with other topics in the health area. In addition, a unique agenda is evident in each situation in the study, indicating a fact-checking strategy that is differentiated according to the media outlet and type of specialization (generalist fact-checker or one specialized in health). Vaccination, nutrition, and disease treatment emerge as the most important thematic subfields. Most health hoaxes are manufactured, i.e., created from scratch, rather than being manipulated or reconfigured from real preexisting elements. The format of text and image together predominates, and new social networks (TikTok or Telegram) have appeared as platforms for the circulation of hoaxes. This indicates that providing necessary health literacy to society and giving health issues greater presence in current fact-checking agendas are strategies for combatting disinformation, which can have serious consequences, regardless of whether there is a public health crisis such as the one experienced recently. Full article