Pieces Of Information Research Articles

Bibliometric Analysis of IJISS Journal based on Citation and Publication Relevant Metrics

This research is a bibliometric assessment of the Google Scholar-indexed Indian journal of Information Sources and Services. The articles published in the journal between 2019 and 2024 are evaluated bibliometrically in this study. A data set was created using Microsoft Excel from information retrieved from the journal's website. By looking at things like document types, authors, Degree of collaboration, collaboration coefficient and collaboration indexes, and citation indicators, bibliometric assessments can get a sense of the composition and distribution of published works. In addition to the number of cited publications, the study has investigated other aspects of these journals, such as the h-index and i-index. People looking for high-quality journals in the area of information sources and services will find this paper to be an important piece of information. Those who have perused the most prominent journals included in Google Scholar's database yet found the information they offered to be insufficient will find this article especially informative.

Legal and scientific deficiencies of drug advertisements on German television.

Drug advertising primarily serves to publicize the product and increase sales. The legal requirements in the Therapeutic Products Advertising Act (Heilmittelwerbegesetz, HWG) in Germanyare intended to protect consumers. However, a lack of information about the potentialnegative aspects of drugs represents a risk for viewers. In this study, we analyzed a total of 52 advertising clips for drugs, food supplements, and medical products on public and private German television. These short films in the commercial breaks between the TV programs serve to publicize and advertise products. Furthermore, the corresponding package inserts for the drugs and the content and structure of the advertising clips were analyzed. The clips were compared with each other as well as about the mandatory information according to §4 of the HWG and §11 of the Medicinal Products Act (Arzneimittelgesetz, AMG). The study revealed that a large proportion of the mandatory information was not included in the advertising clips analyzed. Not all legal requirements were met in the package inserts either. Alarmingly, the advertising clips consistently contained only one of the mandatory information pieces, namely, the name of the product. Adverse effects were not mentioned in any advertising clip, and the effects of drugs were only poorly explained, if at all. Overall, scientific content of the advertisements was minimal if at all present. Instead, the airtime was dominated by emotional and attention-grabbing content in the form of a frame story, whereas the potential to educate people about medicines and raise public awareness remains mostly unused. Thus, drug advertisements on German television exhibit substantial scientific and legal deficiencies. In addition, we noted several legal gray zones in advertisements. The deficiencies in drug advertisement quality on television are, unfortunately, in line with quality deficiencies on drug advertisements in various other platforms (see., e.g., https://pubmed.ncbi.nlm.nih.gov/37792047/ ; https://pubmed.ncbi.nlm.nih.gov/38430230/ ). Thus, the lack of rigorous implementation of the HWG is a general problem in Germany. We make specific suggestions on what actions should be taken to improve the implementation of the HWG in television advertisements to improve drug safety and consumer safety.

Effects of sequential and non-sequential presentation conditions of multiple-stem facts on memory integration and cognitive resource allocation.

What limits the self-generation of new knowledge in the memory integration process? One striking contender is the amount of necessary pieces of information that are dispersed. Specifically, when essential information is scattered across multiple sources/places, it becomes challenging to effectively integrate and generate new knowledge. Most of the studies on memory integration have focused on the study of paired stem facts, but have neglected the exploration of multiple-stem facts. The present study examined college students' performance on memory integration under different conditions of three stem facts. In Experiment 1, participants were exposed to a series of novel, authentic stem facts in which every three relevant ones could be integrated to generate new knowledge. The results of Experiment 1 found that college students could spontaneously generate a new piece of information by integrating two or three separate but related facts. The integration can occur in at least two distinct types due to the different presentation orders of the learning materials: sequential recursive integration and non-recursive integration. College students performed better in sequential recursive integration than in non-sequential recursive integration, and this difference in integration performance is not caused by differences in memory for the stem facts. Based on Experiment 1, Experiment 2 used eye-tracking technology to explore the allocation of internal cognitive resources across different conditions of three stem facts. We found that in non-sequential recursive integration, college students had the longest visual duration and the highest number of fixations on the second stem fact. In sequential recursive integration, there were no other significant differences in the number and duration of visual fixations for the three stem facts. College students paid longer fixations to the second stem fact and the third stem fact in the non-sequential recursive condition than in the sequential recursive condition. Our study suggests that when information is related but cannot be integrated, longer fixation indicates stumbling when dealing with an unresolvable difficulty. When knowledge is presented in a stepwise manner (such as in the sequential recursive integration condition), it results in better semantic memory extension.

Minimalist Design for Multi-Dimensional Pressure-Sensing and Feedback Glove with Variable Perception Communication

Immersive human–machine interaction relies on comprehensive sensing and feedback systems, which enable transmission of multiple pieces of information. However, the integration of increasing numbers of feedback actuators and sensors causes a severe issue in terms of system complexity. In this work, we propose a pressure-sensing and feedback glove that enables multi-dimensional pressure sensing and feedback with a minimalist design of the functional units. The proposed glove consists of modular strain and pressure sensors based on films of liquid metal microchannels and coin vibrators. Strain sensors located at the finger joints can simultaneously project the bending motion of the individual joint into the virtual space or robotic hand. For subsequent tactile interactions, the design of two symmetrically distributed pressure sensors and vibrators at the fingertips possesses capabilities for multi-directional pressure sensing and feedback by evaluating the relationship of the signal variations between two sensors and tuning the feedback intensities of two vibrators. Consequently, both dynamic and static multi-dimensional pressure communication can be realized, and the vibrational actuation can be monitored by a liquid-metal-based sensor via a triboelectric sensing mechanism. A demonstration of object interaction indicates that the proposed glove can effectively detect dynamic force in varied directions at the fingertip while offering the reconstruction of a similar perception via the haptic feedback function. This device introduces an approach that adopts a minimalist design to achieve a multi-functional system, and it can benefit commercial applications in a more cost-effective way.

LATERAL STIFFNESS EVALUATION OF RESIDENTIAL ISO CONTAINER MODULE: FULL-SCALED EXPERIMENTAL AND NUMERICAL STUDIES

International Organisation for Standardisation (ISO) containers, designed to protect contents against extreme conditions, are often repurposed as temporary shelters during disasters, conflict, or urbanization. However, modifying these containers for housing greatly affects their structural integrity. Several studies have numerically and experimentally investigated the structural strength of container structures. However, there was limited information on the lateral stiffness of a residential ISO container subjected to lateral load. A piece of valuable information when the container is applied to a multi-story structure. This study proposed to conduct physical tests on two full-scaled residential ISO container structures to evaluate their lateral stiffness. Considering the actual condition of a residential container, both samples were fabricated with different sizes of openings. The finite element models of the samples were developed and analysed employing Abaqus for comparison with other studies and the experimental results. The application for lateral stiffness of ISO containers subjected to wind load was discussed based on the current design standard. The outcome of the study widened the scope of the structural behaviour of an ISO container towards the lateral stiffness of a residential container structure.

Crosstalk Between the Spleen and Other Organs/Systems: Downstream Signaling Events

The aim of this review was to gather pieces of information from available critically evaluated published articles concerning any interplay in which the spleen could be involved. For many years, the spleen has been alleged as an unnecessary biological structure, even though splenomegaly is an objective finding of many illnesses. Indeed, the previous opinion has been completely changed. In fact, the spleen is not a passive participant in or a simple bystander to a relationship that exists between the immune system and other organs. Recently, it has been evidenced in many preclinical and clinical studies that there are close associations between the spleen and other parts of the body, leading to various spleen–organ axes. Among them, the gut–spleen axis, the liver–spleen axis, the gut–spleen–skin axis, the brain–spleen axis, and the cardio-splenic axis are the most explored and present in the medical literature. Such recent sources of evidence have led to revolutionary new ideas being developed about the spleen. What is more, these observations may enable the identification of novel therapeutic strategies targeted at various current diseases. The time has come to make clear that the spleen is not a superfluous body part, while health system operators and physicians should pay more attention to this organ. Indeed, much work remains to be performed to assess further roles that this biological structure could play.

Evaluating Impact of Experiential Marketing Activities on Repurchase Intention: Testing Mediating and Moderating Model on Apparel Industry.

This examination is giving critical data to the backers of Pakistan's private universities in understanding clients' necessities more significantly to add to the improvement of their business. The data is collected through surveys. The pieces of information have been inspected through expansive outlines, using a structure and factors that are simply uniquely crafted to the fascinating necessities of Pakistan. In the consistent review, gathers created utilizing existing hypotheses, produce speculations, embrace structures for data plan and perform tests to show the proposed hypothesis. The clothing business is the essential unit of assessment all through the assessment of these elements. Our assessment is quantitative and besides embraces an objective strategy. The model size 250 and the assigned people is from clothing industry of Pakistan. Firstly, we utilize descriptive statistics to scrutinize the respondents' characteristics and outcomes. Additionally, we centre around the appraisal of the assessment model's results. Finally, we examine the insightful significance and hypothesis testing of the model. This total technique engages us to secure significant encounters into the data, which can be used to seek after informed decisions and drive accomplishment. Additionally, while the current study used a survey method, qualitative data such as customers' opinions and the nature of products could be added through open-ended questions to provide more in-depth insights. In conclusion, our study provides valuable insights into the relationship between issue identification and social media engagement, perceived corporate identification, and loyalty towards a company. Future research can build upon these findings to explore additional factors and expand the scope of the study. This specific research framework is never been used earlier in Pakistan’s Apparel industry. The originality and significance is to use Positive E-Wom as moderator in Pakistani market.

Chemi-Impeditive Sensing Platform Based on Single-Walled Carbon Nanotubes.

Chemical sensing methodology based on electrochemical impedance spectroscopy (EIS) targeting analytes in aqueous samples on functionalized single-walled carbon nanotube (SWCNT) is reported. The SWCNT in contact with electrolyte shows unique impedance spectra that cannot be analyzed with classical equivalent circuit models. Inspired by the charge transport property of mixed ionic-electronic conductors, we propose an equivalent circuit based on transmission line model (TLM), by which the impedance of the CNT-electrolyte system can be analyzed to track down all the equivalent circuit parameters. By combining multiple pieces of information, which are technically immeasurable with conventional chemiresistive or chemicapacitive techniques, several analyte species responding to the sensor can be differentiated from each other. We demonstrate the "chemi-impeditive" concept on chemically modified SWCNTs for detecting perfluoroalkyl substances (PFAS) in aqueous solutions. The EIS coupled with a fluorination chemistry on SWCNT surface provides unique changes in equivalent circuit components for each PFAS, i.e., changes in CNT and solution resistances, as well as interfacial CNT-solution capacitance, through which perfluorooctanesulfonic acid, perfluorooctanoic acid, hexafluoropropylene oxide dimer acid, and perfluorobutanesulfonic acid are detected in a discriminative manner. The new impedimetric method opens up new vistas in chemical sensing in that the EIS analysis provides an additional dimension of information beyond the single resistance or capacitance typically measured by many conventional types of sensors.

A Note on the Āl-i Burhān of Bukhara and the Author of the Laṭāʾif al-aḏkār

The Āl-i Burhān, who held the religious leadership (ṣadāra) of Bukhara from the end of the fifth to the middle of the seventh century A.H. (eleventh to thirteenth century CE) and were the religious and secular leaders of the city, are known to us through a number of studies by Bartold, Qazvīnī, and Pritsak.1 However, at least two other pieces of information about this family's background are available in two recently published books that were not available to these scholars. The first book is al-Qand fī ḏikr ʿulamāʾ Samarqand (henceforth al-Qand) by ʿUmar ibn Muḥammad al-Nasafī (461‒537 A.H./1069‒1142 CE), and the other is Laṭāʾif al-aḏkār li-l-ḥużżār wa-l-suffār fī al-manāsik wa-l-ādāb (henceforth Laṭāʾif) by Muḥammad ibn ʿUmar ibn ʿAbd al-ʿAzīz (511–566 A.H./1117‒1170 CE), the greatest religious leader (ṣadr) of this family in the sixth century A.H. (twelfth century CE).2 The latter, precisely because it was written by the greatest and most powerful member of the family, contains some firsthand information about the family itself and the scholars of Bukhara that appears to be unique, and the former provides the most detailed extant information about the scholars who lived in Samarqand or visited that city until the mid-sixth century A.H. (twelfth century CE). Al-Qand also incidentally contains some information about the first ṣadr of the Burhān family, which has neither been seen elsewhere nor noticed by scholars since the publication of the text in 1999.

Kárpátalja egyházi fenntartású iskoláinak virtuális nyelvi tájképe

We live in an age where everywhere we look, thousands of pieces of information are streaming towards us. This fact in itself highlights the importance of the linguistic landscape in our everyday lives, as everything that surrounds us, everything we perceive influences our thinking and therefore our use of language. In the 21st century, we need to pay particular attention to the virtual world, as a large percentage of the younger and even older generations receive a significant proportion of their stimuli through some types of electronic communication tools or social platforms. Schools have a particularly important role in language development and formation, as young people, the future generation, are most shaped within their walls. In the present study, we analysed a sample of posts published in the last few years on the social platforms (official website and Facebook) of the ecclesiastical schools of Transcarpathia. We relied on statistical and comparative analysis of the textual content of these entries. In addition, we examined the meta-linguistic information of the entries. The overall visual appearance of the website was also taken into consideration, i.e., the types of images published were also investigated. In the research, it was assumed that all the official webpages of the schools under investigation contain entries in both Ukrainian and Hungarian. We also assessed whether a higher percentage of entries in Hungarian appeared on the schools’ online interfaces. Results showed that the number of interactions by people who followed the sites was higher for Hungarian language posts, advertisements and articles. We assumed that religious posts and symbols regularly appeared on the websites and Facebook pages, and that a higher percentage of these posts and symbols appeared in Hungarian. It was also hypothesized that the volume of texts in Ukrainian was smaller than the amount of texts in Hungarian. The research has confirmed that both Ukrainian and Hungarian entries are found on the websites, with a higher share of entries in Hungarian. It also confirmed our hypothesis that followers of the websites tend to respond more frequently to posts in Hungarian, due to the fact that the majority of followers use Hungarian as their mother tongue. Last but not least, the research revealed that religious posts and symbols regularly appear on the official websites and Facebook pages of the lyceums, and the language of these posts is mostly Hungarian.

A simple but tough-to-beat baseline for fMRI time-series classification

Current neuroimaging studies frequently use complex machine learning models to classify human fMRI data, distinguishing healthy and disordered brains, often to validate new methods or enhance prediction accuracy. Yet, where prediction accuracy is a concern, our results suggest that precision in prediction does not always require such sophistication. When a classifier as simple as logistic regression is applied to feature-engineered fMRI data, it can match or even outperform more sophisticated recent models. Classification of the raw time series fMRI data generally benefits from complex parameter-rich models. However, this complexity often pushes them into the class of black-box models. Yet, we found that a relatively simple model can consistently outperform much more complex classifiers in both accuracy and speed. This model applies the same multi-layer perceptron repeatedly across time and averages the results. Thus, the complexity and black-box nature of the parameter rich models, often perceived as a necessary trade-off for higher performance, do not invariably yield superior results on fMRI.Given the success of straightforward approaches, we challenge the merit of research that concentrates solely on complex model development driven by classification. Instead, we advocate for increased focus on designing models that prioritize the explainability of fMRI data or pursue applicable objectives beyond mere classification accuracy, unless they significantly outperform logistic regression or our proposed model. To validate our claim, we explore possible reasons for the superior performance of our straightforward model by examining the innate characteristics of fMRI time series data. Our findings suggest that the sequential information hidden in the temporal order may be far less important for the accurate fMRI classification than the stand-alone pieces of information scattered across the frames of the time series.

Fighting for Ben, a family’s story

Purpose This paper aims to study themes of abuse and mistreatment of people with a learning disability. Personal stories of lived experience such as this are important pieces of learning and information for practitioners. This case study is intended to add to the limited available knowledge base of lived experience, offering insight into safeguarding in practice. Design/methodology/approach This is a single case study highlighting lived experiences written by and from the perspective of a sibling of a person with a learning disability who has experienced abuse in the social-care system. Findings Structural ongoing abuse occurs and has occurred in the social care system. How we respond to this as a system and societally is a multi-layered challenge that underpins the ability to ensure the safety and well-being of the most vulnerable peers. Originality/value Case studies such as this are limited, with underpinning themes that are all too common. The case study adds to literature that gives insight and perspective into experiences of systems, and of systemic failures to act.

Better health-related quality of life is associated with prolonged survival and reduced hospitalization risk among dialysis-dependent chronic kidney disease patients: a historical cohort study

Rationale & objectiveEnd-stage kidney disease (ESKD) negatively affects patients’ physical, emotional, and social functioning. Furthermore, adjustment to dialysis require substantial lifestyle changes that may further impact on patients physical and emotional well-being. However, the relationship between Health-Related Quality of life impairment with future adverse outcomes in dialysis is not well characterized. Our study aims to investigate the relationship between Health-Related Quality of Life (HRQoL) and patients’ survival and hospitalization rates within a large European dialysis network.MethodsA historical cohort study was conducted to evaluate association of HRQoL with hospitalization and mortality rates over a 12-month follow-up period. Patients responded to a self-administered survey as part of a Continuous Quality Improvement Program implemented in clinics affiliated with the Spanish FMC-Nephrocare organization. Health-Related Quality of Life (HRQoL) was measured with the KDQOL-36. Potential confounders included socio-demographic characteristics, comorbidities, biochemical parameters, dialysis treatment. We used Cox’s Proportional Hazard regression to assess the hazard of death and Logistic Regression to assess the likelihood of hospital admissions during 12-month follow-up period.ResultsA total of 2280 (51.5%) completed the self-administrated survey, and 1838 patients met the inclusion/exclusion criteria of the study. Higher HRQoL scores were associated with significantly lower mortality and hospitalization risk. Risk estimates were robust to adjustment for potential confounders.ConclusionsSeveral dimensions of HRQoL are associated with patient-centered outcomes (i.e., mortality and hospitalizations at 1 year). Patient-Reported Outcomes contribute unique pieces of information characterizing patients’ health. Residual confounding cannot be fully ruled out; moreover, the high attrition rate could result in selection bias, which may limit the generalizability of the findings to a broader population.

Auxiliary Feature Fusion and Noise Suppression for HOI Detection

In recent years, one-stage HOI (Human–Object Interaction) detection methods tend to divide the original task into multiple sub-tasks by using a multi-branch network structure. However, there is no sufficient attention to information communication between these branches. The inference approach in the cascaded structure is singular, while fully parallel methods will disrupt the associations between different pieces of information. Besides, noise interference may occur during the fusion of different features and thus affect the detection performance. To address these issues, this article proposes a one-stage three-branch parallel HOI detection method, which treats HOI as three separate sub-tasks (human detection, object detection, and interaction detection) and leverages three distinct reasoning relationships to generate richer relational information. Firstly , an auxiliary feature fusion (AFF) module is introduced, which integrates features originally extracted independently to form fused features enriched with supplementary information. This approach strengthens communication between branches in the network while handling the three sub-tasks concurrently, thereby facilitating the exchange of more contextual information. Secondly , to mitigate noise interference generated during the fusion process, a fusion noise suppression (FNS) module is introduced, which effectively suppresses noise and enhances the model’s performance in interaction detection tasks. Finally , experiments are conducted on two major benchmark datasets, and experimental results show that our HOI detection method is superior to previous methods. Also, ablation studies confirm the effectiveness of all the components in our proposed method.

Probability Updating in the Classical and the Quantum Model

Imagine a Bayesian decision agent who is keen to invest only in technologies or businesses that are conductive to achieving a sustainable economic future. Being initially keen to invest in a certain technology, subsequently two pieces of new information are received that both individually reduce the agent’s inclination to make that investment. In such a situation, it would be natural to assume that the simultaneous consideration of both pieces of information should further reduce the agent’s initial enthusiasm; after all the Bayesian method has been called “ nothing but common sense reduced to calculation.” Somewhat surprisingly, making general statements like this about the double conditional probability requires substantial additional assumptions in classical Bayesian probability theory. We investigate four schemes of assumptions that allow ‘reasonable’ conclusions about the double conditional probability. We compare this with two schemes for the quantum probability model where the double conditional results from sequential updating through projections.

Research on the Impact of Social Media on Consumer Shopping Behavior:Based on Case Analysis of the Adolescent Population

Starting from the underlying logic of the impact of social media on consumers, this article focuses on analyzing the shopping habits of young consumers and the influence and shaping of social media on their consumption behavior. It analyzes the positive and negative effects of social media and puts forward relevant opinions and suggestions. Compared to the adult consumer group, the adolescent consumer group has not yet formed a relatively fixed consumption value system, and their consumption behavior is more susceptible to various external factors. Adolescents are in a critical period of character development and self-value establishment, so they will pay attention to social trends and seek the unique value of their own existence during this stage. Social media, as a fast channel for transmitting information, is also the main communication platform for adolescents. It provides a huge amount of information, including product purchasing channels, consumer evaluations, etc. These pieces of information constantly influence adolescents’ thoughts and subtly shape their shopping behavior. This article advocates for the correct guidance and shaping of the values of young people, exercising and cultivating their independent thinking ability, to enable them to have healthy and good consumption behavior.

Risk-taking Factors in a Dynamic Approach

The most common definition of risk is quantified by the probability of an adverse event occurring and the value of the adverse consequence. Theoretically, the decision to take a risk can also be based essentially on these two pieces of information. In addition, according to traditional risk-taking models, the perception of risk, the psychological characteristics of the decision-makers and their relevant experience are also important. In the case of mathematical-statistical-psychological models, little emphasis is placed on the fact that risk is in fact the inability to completely control the activity in question. The causes of this incompleteness are based on the shortcomings in the relevant capabilities of the economic agent. Economic agents have different capabilities, so they rarely face the same risks, even for almost identical activities. Just as the requirements and circumstances of the activity are constantly changing, so are the capabilities of the economic agent. Consequently, the size of the capability gap of an economic agent is also constantly changing. This should be taken into account in risk-taking decisions and their revision. The paper attempts to model this dynamic risk-taking mechanism and to show how different risk-taking strategies may be pursued by economic agents in certain baseline situations.

InfoQ: Certifying credible providers of digital health information

Abstract Background Access to accurate health information is crucial. Despite the abundance of information online, sorting through it can be overwhelming, especially with the spread of misinformation. This poses a threat to public health and challenges health literacy. Efforts to combat misinformation are struggling due to the rapid growth of available information. We need complementary strategies, such as promoting trustworthy information sources. An initiative by Bertelsmann Stiftung, aims to counter misinformation by promoting health information from credible sources. Methods In 2021, the U.S. National Academy of Medicine outlined principles for identifying credible health information sources, endorsed globally by the WHO and embraced by the social media industry. However, these principles lack operationalization, leaving indicators for credibility undefined. To address this gap, Bertelsmann Stiftung, in collaboration with German experts, conducted workshops in 2023 to draft evaluation criteria. Their ongoing work, alongside initiatives by the Careum Foundation and Gesundheit Österreich GmbH will be presented. Results The criteria focus on structure (e.g., the expertise of providers) and process (e.g., methods for identifying relevant evidence) rather than outcome (i.e., the quality of each piece of information), and are based on the domains science-basis, transparency and legitimacy. Mandatory and complementary criteria allow a two-step approach to identify health information providers of good quality (meeting all mandatory criteria) and excellent quality (meeting all criteria). Conclusions These criteria build the basis of the establishment of an international certification system and represent a crucial measure to combat misinformation and promote population health literacy. Various international partners and social platforms have already reached a strong consensus on the relevance of the project goals and expressed their willingness to deepen their efforts in this regard.

Causal Inference Thinking of Elementary School Teacher Professional Education Program Students in Determining Digital Strategies to Solve Mathematical Problems

This research aims to examine the causal inference thinking of PPG PGSD students in solving mathematical problems. This research uses a qualitative approach with a case study type. The subjects of this research were four pre-service PPG students from PGSD UM. The instruments for this research include researchers, indicator rubrics, validation sheets, researcher notes, mathematical problems, internet networks, laptops, and handphones. Research subjects as data sources produce data that is analyzed in the form of written answers and recorded interviews. The qualitative data analysis technique used in this research is the interactive model. The results of this research show that fast causal inference thinking is characterized by expressing familiarity with mathematical problem solving, expressing familiarity with accessing digital platforms to solve mathematical problems, accessing digital platforms with keywords, correlating the characteristics of information with specific digital platforms, and Accessing specific digital platforms spontaneously. Slow Causal Inference Thinking is characterized by accessing more than one digital platform to understand a piece of information and read the math problem text repeatedly. The digital platforms that the subjects considered to be a solution were the Google and YouTube platforms.

Accuracy, Quality, and Misinformation of YouTube Abortion Procedural Videos: Cross-Sectional Study.

The internet is often the first source patients turn to for medical information. YouTube is a commonly used internet-based resource for patients seeking to learn about medical procedures, including their risks, benefits, and safety profile. Abortion is a common yet polarizing medical procedure. People interested in obtaining an abortion are likely to use the internet to learn more about abortion procedures and may encounter misinformed and biased information. This is troubling as information found on the internet can significantly alter perceptions and understanding of these procedures. There is no current research that evaluates the accuracy, quality, and misinformation of instructional abortion videos available to patients. The purpose of this study was to assess if any given video can deliver accurate and quality information about this topic in an unbiased manner and to assess the level of factually incorrect, distorted, or medically irrelevant information in any given video. Procedural methods of abortion were queried on YouTube on August 22, 2022. The videos were screened with strict exclusion criteria. Videos were categorized into "video slants" based on the language and attitudes expressed in each video. Video accuracy was calculated using the Surgical Curriculum in Obstetrics and Gynecology (SCOG) checklist for each corresponding procedure. Video quality was calculated using the Laparoscopic Surgery Video Educational Guidelines (LAP-VEGaS) criteria. The level of misinformation was assessed with the evidence-based Anti-Choice Rubric, which scores the amount of factually incorrect, distorted, or medically irrelevant information in each video. A total of 32 videos were analyzed and categorized into 3 "video slant" groups: neutral (n=23, 72%), antichoice (n=4, 12%), and prochoice (n=5, 16%). Using the SCOG checklist, neutral videos had the highest median accuracy (45.9%), followed by antichoice videos (24.6%) and prochoice videos (18.5%). None of the videos met the LAP-VEGaS quality control criteria, (score>11, indicating adequate quality). Neutral videos had a median score of 8.8 out of 18, with antichoice videos scoring 10.75 and prochoice videos scoring 6.2. Using the Anti-Choice Rubric, neutral videos mentioned only 1 factually incorrect piece of information. Antichoice videos mentioned 12 factually incorrect pieces of information, 8 distortions, and 3 medically irrelevant pieces of information. Prochoice videos did not mention any of the 3 themes. Using the SCOG checklist, the accuracy of instructional videos were inconsistent across the 3 identified "video slants." Using LAP-VEGaS criteria, the quality of educational videos were also inconsistent across the 3 "video slants." Prochoice videos had the lowest level of misinformation, with no mentions of any of the 3 themes. Antichoice videos had the highest levels of misinformation, with mentions in all 3 themes. Health care professionals should consider this when counseling patients who may watch YouTube videos for information regarding abortion procedures.