Intersections in the digital society: cancel culture, fake news, and contemporary public discourse.

This article critically examines the intricate relationship between cancel culture and fake news, shedding light on their collective impact on current societies. The changing social landscape, marked by the transition from the "network society" to the "platform society," has given rise to unprecedented phenomena such as cancel culture. Rooted in social media complaints, cancel culture intersects with the dissemination of intentionally created false information, forming a complex web of dynamics. The study explores the multifaceted nature of cancel culture, its unintended consequences and the nuanced definitions surrounding it. The synthesis of erasure culture and fake news prompts critical reflections on the democratization of information, the protection of fundamental rights, and the potential risks to democracies of an unbridled online narrative. As digital networks continue to play a central role in everyday life, understanding and addressing these challenges is essential to maintaining a balanced discourse that upholds democratic values.

Syndromic testing for respiratory pathogens but not National Early Warning Score can be used to identify viral cause in hospitalised adults with lower respiratory tract infections.

BACKGROUND: Community-acquired lower respiratory tract infection (LRTI) is a common reason for hospitalisation. Antibiotics are frequently used while diagnostic microbiological methods are underutilised in the acute setting. OBJECTIVES: We aimed to investigate the relative proportion of viral and bacterial infections in this patient group and explore methods for proper targeting of antimicrobial therapy. METHODS: We collected nasopharyngeal samples prospectively from adults hospitalised with LRTIs during three consecutive winter seasons (2016-2019). Syndromic nasopharyngeal testing was performed using a multiplex PCR panel including 16 viruses and four bacteria. Medical records were reviewed for clinical data. RESULTS: Out of 220 included patients, a viral pathogen was detected in 74 (34%), a bacterial pathogen in 63 (39%), both viral and bacterial pathogens in 49 (22%), while the aetiology remained unknown in 34 (15%) cases. The proportion of infections with an identified pathogen increased from 38% to 85% when syndromic testing was added to standard-of-care testing. Viral infections were associated with a low CRP level and absence of pulmonary infiltrates. A high National Early Warning Score did not predict bacterial infections. CONCLUSIONS: Syndromic testing by a multiplex PCR panel identified a viral infection or viral/bacterial coinfection in a majority of hospitalised adult patients with community-acquired LRTIs.

Exploring stigmatization in digital newspaper coverage of substance use disorder.

Substance use disorder is a global health issue that profoundly affects both individuals and societies. Social stigma acts as a significant barrier to treatment motivation. Mass media plays a substantial role in shaping societal perceptions. This study aims to identify stigmatizing attitudes in news narratives concerning substance use disorder as portrayed in digital newspapers. We examined news articles from the top eight national digital newspapers published during 2022 by using quantitative and retrospective content analysis. Following the review, we collected 1.233 news articles, removed 480 articles which were irrelevant or duplicate, and analyzed the remaining 753 articles using quantitative content analysis methods on SPSS 26.0. The majority of news articles depict substance use disorder in a negative consideration. The analysis revealed that nearly all news sources were news agencies and only 11% of the articles offered potential solutions. Alarmingly, 69.7% of the articles contained stigmatizing content, while 53.1% directly impacted the social lives of individuals with substance use disorder. Furthermore, 44.1% of the articles reinforced a dangerous perception associated with individuals with substance use disorder. To address these issues, we recommend a more empathetic portrayal of substance use disorder, support for help-seeking behavior, and advocacy for effective solutions in news coverage.

A Sesotho news headlines dataset for sentiment analysis.

Sentiment Analysis (SA) is a subset of Natural Language Processing (NLP) which has become a promising research area enabling the provision of language specific services. Although research in high resource languages such as English and Chinese has achieved promising results, research in low resource African languages such as Sesotho is still in its infancy due to limited text and speech datasets. This study contributes in this regard by availing the Sesotho News (SN) dataset, as an annotated dataset for the SA and Aspect Based Sentiment Analysis (ABSA) tasks. This dataset may be used for NLP research to benefit 1.85 million Sesotho speakers in Lesotho and 11.5 million speakers in South Africa. The dataset includes 4651 headlines for the ABSA task and 2401 headlines for the SA task using Lesotho's orthography of Sesotho. The news headlines were collected from Sesotho online newspapers and then annotated for the ABSA and SA tasks. The Spearman's correlation and Cohen's Kappa Index metrics show that there is good correlation between the annotators, implying that the SN dataset is of gold standard.

ANN: adversarial news net for robust fake news classification.

With easy access to social media platforms, spreading fake news has become a growing concern today. Classifying fake news is essential, as it can help prevent its negative impact on individuals and society. In this regard, an end-to-end framework for fake news detection is developed by utilizing the power of adversarial training to make the model more robust and resilient. The framework is named "ANN: Adversarial News Net," emoticons have been extracted from the datasets to understand their meanings concerning fake news. This information is then fed into the model, which helps to improve its performance in classifying fake news. The performance of the ANN framework is evaluated using four publicly available datasets, and it is found to outperform baseline methods and previous studies after adversarial training. Experiments show that Adversarial Training improved the performance by 2.1% over the Random Forest baseline and 2.4% over the BERT baseline method in terms of accuracy. The proposed framework can be used to detect fake news in real-time, thereby mitigating its harmful effects on society.

The use of food processing terminology in Australian news media: a content analysis.

OBJECTIVE: This study aims to determine whether ultra-processed foods (UPFs) are being discussed in news media in Australia and whether this terminology, as described in the NOVA system, is being applied accurately. DESIGN: Interpretive content analysis of online and print media articles that mentioned UPFs from 2009 to 2023 in Australia. SETTING: Australia. PARTICIPANTS: Online and print media articles. RESULTS: A total of two hundred ninety-eight Australian media articles were captured. A substantial increase in the number of UPF articles was observed between 2017-2019 and 2021-2023. The UPF concept was inaccurately explained or defined in 32 % of the articles and was frequently used interchangeably with other descriptors, such as 'highly or heavily processed food', 'junk food', 'unhealthy food', 'packaged food' and 'discretionary food'. Most of the articles had a health focus; however, sustainability interest increased, particularly in the past 18 months. CONCLUSIONS: UPFs are increasingly being discussed in news media in Australia; however, the concept is still incorrectly presented in over a third of articles. This highlights the importance of improving the literacy about UPFs to ensure that messages are communicated in a way that is salient, accessible and accurate.

Illusions of knowledge due to mere repetition.

Repeating information increases people's belief that the repeated information is true. This truth effect has been widely researched and is relevant for topics such as fake news and misinformation. Another effect of repetition, which is also relevant to those topics, has not been extensively studied so far: Do people believe they knew something before it was repeated? We used a standard truth effect paradigm in four pre-registered experiments (total N = 773), including a presentation and judgment phase. However, instead of "true"/"false" judgments, participants indicated whether they knew a given trivia statement before participating in the experiment. Across all experiments, participants judged repeated information as "known" more often than novel information. Participants even judged repeated false information to know it to be false. In addition, participants also generated sources of their knowledge. The inability to distinguish recent information from well-established knowledge in memory adds an explanation for the persistence and strength of repetition effects on truth. The truth effect might be so robust because people believe to know the repeatedly presented information as a matter of fact.

News event memory in amnestic and non-amnestic MCI, heritable risk for dementia, and subjective memory complaints.

Robust and sensitive clinical measures are needed for more accurate and earlier detection of Alzheimer's disease (AD), for staging preclinical AD, and for gauging the efficacy of treatments. Mild impairment on episodic memory tests is thought to indicate a cognitive risk of developing AD and mild cognitive impairment (MCI), considered to be a transitional stage between normal aging and AD. Novel tests of semantic memory, such as memory for news events, are also impaired early on but have received little clinical attention even though they may provide a novel way to assess cognitive risk for AD. We examined memory for news events in older individuals with normal cognition (NC, N=34), amnestic MCI (aMCI, N=27), and non-aMCI (N=10) using the novel Retrograde Memory News Events Test (RM-NET). We asked if news event memory was sensitive to 1) aMCI and also non-aMCI, which has rarely been examined, 2) genetic risk for dementia (positive family history of dementia, presence of an APOE-4 allele, or polygenic risk for AD), and 3) subjective memory functioning judgments about the past. We found that both MCI subgroups exhibited impaired RM-NET Lifespan accuracy scores together with temporally-limited retrograde amnesia. For the aMCI group amnesia extended back 45 years prior to testing, but not beyond that time frame. The extent of retrograde amnesia could not be reliably estimated in the small non-aMCI group. The effect sizes for MCI on the RM-NET were medium for the non-aMCI group and large for the aMCI group, whereas the effect sizes of participant characteristics on RM-NET accuracy scores were small. For the combined MCI group (N=37), news event memory was significantly related to positive family history of dementia but was not related to the more specific genetic markers of AD risk. For the NC group, news event memory was not related to any measure of genetic risk. Objective measures of past memory from the RM-NET were not related to subjective memory judgements about the present or the recent past in either group. By contrast, when individuals subjectively compared their present versus past memory abilities, there was a significant association between this judgment and objective measures of the past from the RM-NET (direct association for the NC group and inverse for the MCI group). The RM-NET holds significant promise for early identification of those with cognitive and genetic risk factors for AD and non-AD dementias.

Predictive performance of NEWS and qSOFA in immunocompromised sepsis patients at the emergency department.

PURPOSE: Sepsis has a high incidence and a poor prognosis. Early recognition is important to facilitate timely initiation of adequate care. Sepsis screening tools, such as the (quick) Sequential Organ Failure Assessment ((q)SOFA) and National Early Warning Score (NEWS), could help recognize sepsis. These tools have been validated in a general immunocompetent population, while their performance in immunocompromised patients, who are particularly at risk of sepsis development, remains unknown. METHODS: This study is a post hoc analysis of a prospective observational study performed at the emergency department. Inclusion criteria were age ≥ 18 years with a suspected infection, while ≥ two qSOFA and/or SOFA criteria were used to classify patients as having suspected sepsis. The primary outcome was in-hospital mortality. RESULTS: 1516 patients, of which 40.5% used one or more immunosuppressives, were included. NEWS had a higher prognostic accuracy as compared to qSOFA for predicting poor outcome among immunocompromised sepsis patients. Of all tested immunosuppressives, high-dose glucocorticoid therapy was associated with a threefold increased risk of both in-hospital and 28-day mortality. CONCLUSION: In contrast to NEWS, qSOFA underestimates the risk of adverse outcome in patients using high-dose glucocorticoids. As a clinical consequence, to adequately assess the severity of illness among immunocompromised patients, health care professionals should best use the NEWS.

Resources Utilized by Otolaryngology Fellowship Directors When Determining Reputations of Residency Programs.

OBJECTIVE: Residency program reputation is consistently reported as an important factor by fellowship directors when considering applicants. This study sets out to determine resources fellowship directors rely on when determining residency program reputation. STUDY DESIGN: Cross-sectional study. SETTING: Using an anonymous online survey of all 2022 Otolaryngology (OHNS) fellowship program directors. METHODS: The 13-question survey sought to assess fellowship director's perspectives and resource utilization when determining residency program reputation. RESULTS: Representing all OHNS fellowship program directors and co-directors (N = 287), 103 responded to our survey, response rate 35.9%. Most participants reported that residency reputation was important for fellowship candidacy. On a Likert scale of 1 to 5, 1 being most important and 5 being not important, personal knowledge of the residency program (2.03 out of 5) and program faculty/mentor reputation (2.09 out of 5) were the most important factors cited. 63% were unfamiliar with the survey methodology of Doximity Residency Navigator (DRN), while 53% contributed to DRN by filling out surveys. Nearly all fellowship directors (N = 100, 97%) reported their rank list was not influenced by DRN. Most fellowship directors reported that US News and World Report (USNWR) and DRN were neither consistent nor inconsistent with their perceptions of residency reputations (38% and 56%, respectively), suggesting ambivalence toward these resources. CONCLUSION: Residency reputation is important for fellowship directors when evaluating fellowship candidates. Directors do not rely on USNWR, National Institute of Health (NIH) ranking, or DRN when gauging residency reputation, but rather personal knowledge of the applicant's residency program or reputation of the otolaryngology faculty.

Tobacco Smoking or Nicotine Phenotype and Severity of Clinical Presentation at the Emergency Department (SMOPHED): Protocol for a Noninterventional Observational Study.

BACKGROUND: In the last few years, several nicotine products have become available as alternatives to smoking tobacco. While laboratory and limited clinical studies suggest that these devices are less toxic compared to classic tobacco cigarettes, very little is known about their epidemiological impact. Visiting the emergency department (ED) often represents the first or even the only contact of patients with the health care system. Therefore, a study conducted at the ED to assess the impact of these products on health can be reliable and reflect a real-life setting. OBJECTIVE: The aim of this noninterventional observational study (SMOPHED study) is to analyze the association between the severity of clinical presentation observed during ED visits among patients using various nicotine products and the subsequent outcomes, specifically hospitalization and mortality. METHODS: Outcomes (hospitalization and mortality in the ED) will be examined in relation to various patterns of nicotine products use. We plan to enroll approximately 2000 participants during triage at the ED. These individuals will be characterized based on their patterns of tobacco and nicotine consumption, identified through a specific questionnaire. This categorization will allow for a detailed analysis of how different usage patterns of nicotine products correlate with the clinical diagnosis made during the ED visits and the consequent outcomes. RESULTS: Enrollment into the study started in March 2024. We enrolled a total of 901 participants in 1 month (approximately 300 potential participants did not provide the informed consent to participate). The data will be analyzed by a statistician as soon as the database is completed. Full data will be published by December 2024. CONCLUSIONS: There is substantial debate about the harm reduction potential of alternative nicotine products in terms of their smoking-cessation and risk-reduction potential. This study represents an opportunity to document epidemiological data on the link between the use of different types of nicotine products and disease diagnosis and severity during an ED visit, and thus evaluate the harm reduction potential claims for these products. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/54041.

Breaking Bad News During Prenatal Screening: The Role of Professional Obstetricians and Midwives in Greece.

INTRODUCTION: Breaking bad news is one of the most difficult responsibilities in medical practice. Although medical staff in clinical practice often encounter situations that necessitate the announcement of unpleasant news, there is a lack of training regarding their communication with patients and their families. Effective interaction between medical staff and pregnant women constitutes a crucial component of breaking down unpleasant news. This research aimed to investigate the knowledge and attitude of health professionals, particularly obstetricians, and midwives, regarding the announcement of bad news during prenatal screening. METHODS: The study was conducted between September 2017 and April 2018. One hundred professional obstetricians and midwives involved in fetal and prenatal medicine in Greece were part of the study. The study consisted of two parts: the first covered the emotional state of healthcare professionals during the announcement of unpleasant news, and the second covered the appropriate way to inform unpleasant results during prenatal testing. RESULTS: In this study, only 41% of the participants considered that they felt comfortable discussing issues related to the diagnosis of an unpleasant result during prenatal testing with the pregnant woman/patient, or her relatives, and 85% accepted that they had experienced feelings of sadness, anxiety, or guilt when announcing unpleasant results. Furthermore, 87% of the participants believed that the non-verbal communication component (eye contact, body language) plays an important role in breaking bad news. Finally, 65% considered that prolonged monitoring of the ultrasound screen during prenatal screening does not increase the anxiety of pregnant women when carried out for a better medical opinion. CONCLUSIONS: Delivering bad news during prenatal screening creates stress for the parents. As far as the ethical, cultural, psychological, and legal complicity of healthcare professionals is concerned, communicating unpleasant news has been a subject of discussion by many experts. It is important to understand the concerns of women regarding the risks of counseling.

The Value of Emergency Care Data Set (ECDS) Presentation Codes for Predicting Mortality and Inpatient Admission.

BACKGROUND:  Early identification of patients at higher risk of death and hospital admission is an important problem in Emergency Departments (ED). Most triage scales were developed before current electronic healthcare records were developed. The implementation of a national Emergency Care Data Set (ECDS) allows for the standardised recording of presenting complaints and the use of Electronic Patient Records (EPR) offers the potential for automated triage. The mortality risk and need for hospital admission associated with the different presenting complaints in a standardised national data set has not been previously reported. This study aimed to quantify the risks of death and hospitalisation from presenting complaints. This would be valuable in developing automated triage tools and decision support software. METHODS: We conducted an observational retrospective cohort study on patients who visited a single ED in 2021. The presenting complaints related to subsequent attendances were excluded. This patient list was then manually matched with a routinely collected list of deaths. All deaths that occurred within 30 days of attendance were included. RESULTS: Data was collected from 84,999 patients, of which 1,159 people died within 30 days of attendance. The mortality rate was the highest in cardiac arrest [32 (78.1%)], cardiac arrest due to trauma [2(50%)] and respiratory arrest [3(50%)]. Drowsy [17(12%)], hypothermia [3(13%)] and cyanosis [1(10%)] were also high-risk categories. Chest pain [34(0.6%)] was not a high-risk presenting complaint. CONCLUSION: The initial presenting complaint in ECDS may be useful to identify people at higher and lower risk of death. This information is useful for building automated triage models.

Factors Impacting Chinese Older Adults' Intention to Prevent COVID-19 in the Post-COVID-19 Pandemic Era: Survey Study.

BACKGROUND: Understanding the factors influencing individuals' health decisions is a dynamic research question. Particularly, after China announced the deregulation of the COVID-19 epidemic, health risks escalated rapidly. The convergence of "no longer controlled" viruses and the infodemic has created a distinctive social period during which multiple factors may have influenced people's decision-making. Among these factors, the precautionary intentions of older individuals, as a susceptible health group, deserve special attention. OBJECTIVE: This study aims to examine the intention of older adults to engage in preventive behaviors and the influencing factors, including social, media, and individual factors, within the context of the postepidemic era. Drawing upon the structural influence model of communication, this study tests the potential mediating roles of 3 different types of media exposure between cognitive and structural social capital and protective behavior intention, as well as the moderating role of negative emotions between social capital and media exposure. METHODS: In this study, a web survey was used to collect self-reported quantitative data on social capital, media exposure, negative emotions, and the intention to prevent COVID-19 among older adults aged ≥60 years (N=399) in China. RESULTS: The results indicate that cognitive social capital significantly influenced protective behavior intention (P<.001), with cell phone exposure playing an additional impactful role (P<.001). By contrast, newspaper and radio exposure and television exposure mediated the influence of structural social capital on protective behavior intention (P<.001). Furthermore, negative emotions played a moderating role in the relationship between cognitive social capital and cell phone exposure (P<.001). CONCLUSIONS: This study suggests that using tailored communication strategies across various media channels can effectively raise health awareness among older adults dealing with major pandemics in China, considering their diverse social capital characteristics and emotional states.

Development of an integrated milestone assessment tool across multiple early-adopter programs for breaking bad news: a pilot project.

BACKGROUND: The transition of the Accreditation Council for Graduate Medical Education (ACGME) to milestone assessment creates opportunities for collaboration and shared assessments across graduate medical programs. Breaking bad news is an essential communication skill that is a common milestone across almost every medical specialty. The purpose of this study was to develop and pilot an integrated milestone assessment (IMA) tool for breaking bad news using ACGME milestone criteria and to compare the IMA tool with the existing SPIKES protocol. METHODS: The IMA tool was created using sub-anchors in professionalism and interpersonal communication skills that are applicable to every specialty and to the ability to break bad news. Two cases of breaking bad news, designed to be "easy" and "intermediate" in difficulty, were used to assess basic skills in breaking bad news in first-year medical residents from six residency specialties. Eight standardized patients were trained to portray the cases in sessions held in November 2013 and May 2014. Standardized patients completed an assessment checklist to evaluate each resident's performance in breaking bad news based on their use of the SPIKES protocol and IMA tool. Residents answered post-encounter questions about their training and comfort in breaking bad news. The association between SPIKES and IMA scores was investigated by simple linear regression models and Spearman rank correlations. RESULTS: There were 136 eligible medical residents: 108 (79.4%) participated in the first session and 97 (71.3%) participated in the second session, with 96 (70.6%) residents participating in both sessions. Overall, we were able to identify residents that performed at both extremes of the assessment criteria using the integrated milestone assessment (IMA) and the SPIKES protocol. Interestingly, residents rated themselves below "comfortable" on average. CONCLUSION: We developed an integrated milestone assessment (IMA) that was better than the SPIKES protocol at assessing the skill of breaking bad news. This collaborative assessment tool can be used as supplement tool in the era of milestone transformation. We aim assess our tool in other specialties and institutions, as well as assess other shared milestones across specialties.

How individuals' opinions influence society's resistance to epidemics: an agent-based model approach.

BACKGROUND: Protecting public health from infectious diseases often relies on the cooperation of citizens, especially when self-care interventions are the only viable tools for disease mitigation. Accordingly, social aspects related to public opinion have been studied in the context of the recent COVID-19 pandemic. However, a comprehensive understanding of the effects of opinion-related factors on disease spread still requires further exploration. METHODS: We propose an agent-based simulation framework incorporating opinion dynamics within an epidemic model based on the assumption that mass media channels play a leading role in opinion dynamics. The model simulates how opinions about preventive interventions change over time and how these changes affect the cumulative number of cases. We calibrated our simulation model using YouGov survey data and WHO COVID-19 new cases data from 15 different countries. Based on the calibrated models, we examine how different opinion-related factors change the consequences of the epidemic. We track the number of total new infections for analysis. RESULTS: Our results reveal that the initial level of public opinion on preventive interventions has the greatest impact on the cumulative number of cases. Its normalized permutation importance varies between 69.67% and 96.65% in 15 models. The patterns shown in the partial dependence plots indicate that other factors, such as the usage of the pro-intervention channel and the response time of media channels, can also bring about substantial changes in disease dynamics, but only within specific ranges of the dominant factor. CONCLUSIONS: Our results reveal the importance of public opinion on intervention during the early stage of the pandemic in protecting public health. The findings suggest that persuading the public to take actions they may be hesitant about in the early stages of epidemics is very costly because taking early action is critical for mitigating infectious diseases. Other opinion-related factors can also lead to significant changes in epidemics, depending on the average level of public opinion in the initial stage. These findings underscore the importance of media channels and authorities in delivering accurate information and persuading community members to cooperate with public health policies.

Optimization of news dissemination push mode by intelligent edge computing technology for deep learning.

The Internet era is an era of information explosion. By 2022, the global Internet users have reached more than 4 billion, and the social media users have exceeded 3 billion. People face a lot of news content every day, and it is almost impossible to get interesting information by browsing all the news content. Under this background, personalized news recommendation technology has been widely used, but it still needs to be further optimized and improved. In order to better push the news content of interest to different readers, users' satisfaction with major news websites should be further improved. This study proposes a new recommendation algorithm based on deep learning and reinforcement learning. Firstly, the RL algorithm is introduced based on deep learning. Deep learning is excellent in processing large-scale data and complex pattern recognition, but it often faces the challenge of low sample efficiency when it comes to complex decision-making and sequential tasks. While reinforcement learning (RL) emphasizes learning optimization strategies through continuous trial and error through interactive learning with the environment. Compared with deep learning, RL is more suitable for scenes that need long-term decision-making and trial-and-error learning. By feeding back the reward signal of the action, the system can better adapt to the unknown environment and complex tasks, which makes up for the relative shortcomings of deep learning in these aspects. A scenario is applied to an action to solve the sequential decision problem in the news dissemination process. In order to enable the news recommendation system to consider the dynamic changes in users' interest in news content, the Deep Deterministic Policy Gradient algorithm is applied to the news recommendation scenario. Opposing learning complements and combines Deep Q-network with the strategic network. On the basis of fully summarizing and thinking, this paper puts forward the mode of intelligent news dissemination and push. The push process of news communication information based on edge computing technology is proposed. Finally, based on Area Under Curve a Q-Leaning Area Under Curve for RL models is proposed. This indicator can measure the strengths and weaknesses of RL models efficiently and facilitates comparing models and evaluating offline experiments. The results show that the DDPG algorithm improves the click-through rate by 2.586% compared with the conventional recommendation algorithm. It shows that the algorithm designed in this paper has more obvious advantages in accurate recommendation by users. This paper effectively improves the efficiency of news dissemination by optimizing the push mode of intelligent news dissemination. In addition, the paper also deeply studies the innovative application of intelligent edge technology in news communication, which brings new ideas and practices to promote the development of news communication methods. Optimizing the push mode of intelligent news dissemination not only improves the user experience, but also provides strong support for the application of intelligent edge technology in this field, which has important practical application prospects.

The impact of 24/7 news coverage on the mental health of Israelis in the 'Iron Swords' War: A cross-sectional analysis among television audience.

This study aims to assess the impact of continuous 24/7 news broadcasting on the mental well-being of Jewish Israelis during the 'Iron Swords' War and compare it to findings from the 2014 Conflict. An internet-based cross-sectional panel survey was conducted on 11-12 October 2023, during the 'Iron Swords' War. The study focused on Israel's adult Jewish population, enabling comparisons with a previous 2014 study. Participants reported news consumption changes, attitudes towards newscasts (burdensome, relaxing, stressful, addictive, Fear Of Missing Out [FOMO], avoidance), opinions on 24/7 news, and anxiety symptoms. Among 802 adult Jewish participants in Israel, 83.8% increased news consumption. While more than 70% of respondents found the newscast stressing at least a medium level, more than 40% said they do not try to avoid them at all. Nearly 24% found it much addictive. Women and younger individuals reported more FOMO, stress, and addiction. More than 70% reported experiencing at least one anxiety symptom, and 21% of all four. Linear regression explained 42.9% of the variance of reported anxiety, with gender, age, news stress, addiction, and FOMO as predictors. The current study results show an increase in all measurements compared to a separate study conducted using the same tools in 2014. Jewish Israelis struggled with news consumption during the recent war, harming mental health. Heightened anxiety was observed, compared to 2014, and affected all demographics.