Source Credibility Research Articles

Advancing Fake News Detection with Graph Neural Network and Deep Learning

Abstract In the modern era of digital technology, the rapid distribution of news via social media platforms substantially contributes to the propagation of false information, presenting challenges in upholding the accuracy and reliability of information. This study presents an updated approach that utilizes Graph Neural Networks (GNNs) alongside with advanced deep learning techniques to improve the identification of false information. In contrast to traditional approaches that primarily rely on analyzing text and assessing the credibility of sources, our methodology utilizes the structural information of news propagation networks. This allows for a detailed comprehension of the interconnections and patterns that are indicative of misinformation. By analyzing the intricate, graph-based connections between news items, our approach not only overcomes the constraints of conventional fake news detection methods but also demonstrates significant enhancements in detection accuracy. This paper emphasizes the revolutionary nature of utilizing Graph Neural Networks (GNNs) in the field of fake news detection. It also examines the potential consequences of our research in reducing the propagation of false information. Our model achieved an impressive accuracy rate of 97\%, demonstrating a significant improvement in its ability to identify and classify fake news. The findings highlight the substantial improvement in the ability to detect fake news provided by GNNs in comparison to traditional methods, demonstrating promising growth in the struggle against false information.

Don’t believe them! Reducing misinformation influence through source discreditation

Misinformation often continues to influence people’s reasoning even after it has been corrected. Therefore, an important aim of applied cognition research is to identify effective measures to counter misinformation. One frequently recommended but hitherto insufficiently tested strategy is source discreditation, that is, attacking the credibility of a misinformation source. In two experiments, we tested whether immediate source discreditation could reduce people’s subsequent reliance on fictional event-related misinformation. In Experiment 1, the discreditation targeted a person source of misinformation, pointing to a conflict of interest. This intervention was compared with a commonly employed message-focused correction and a combination of correction and discreditation. The discreditation alone was effective, but less effective than a correction, with the combination of both most effective. Experiment 2 compared discreditations that targeted a person versus a media source of misinformation, pointing either to a conflict of interest or a poor track record of communication. Discreditations were effective for both types of sources, although track-record discreditations were less effective when the misinformation source was a media outlet compared to a person. Results demonstrate that continued influence of misinformation is shaped by social as well as cognitive factors and that source discreditation is a broadly applicable misinformation countermeasure.

Health information literacy among children with spinal muscular atrophy and their caregivers

BackgroundSpinal muscular atrophy (SMA) is an autosomal recessive motor neuron disease that leads to multiple organ dysfunction. The advent of disease-modifying treatments makes the early diagnosis of SMA critical. Health information literacy is vital for obtaining, understanding, screening, and using health information. Considering the importance of early diagnosis and the challenges in obtaining accurate information on patients with SMA, this cross-sectional study assessed health information literacy among children with SMA and their caregivers in China.MethodsInterviews with the caregivers of 10 patients with SMA were conducted by neurologists specializing in SMA. A questionnaire for evaluating the level of health information literacy was further developed among 145 children with SMA aged 10.0–120.0 months, with the average age of 81.9 months, and their caregivers. Parameters, such as the age at the onset of the first symptom and time from recognition of the first symptom to diagnosis, were examined. Health information literacy was measured using four dimensions: cognition, search, evaluation, and application.ResultsThe average time from the first symptom to first medical consultation was 4.8 months, and that from the first symptom to diagnosis was 10.8 months. There is a significant delay from the onset of the initial symptoms to a definitive diagnosis. Thirty-five (24%) patients had poor while 26 (18%) had high health information literacy. The overall score for health information literacy was 69; the scores for health information cognition and application were 90 and 84, respectively. The scores for evaluation (61) and search (57) were low. Medical personnel were considered the most professional and credible sources of information. Additionally, search engines and patient organizations were the other two most important sources of health literacy.ConclusionPatients with SMA and their caregivers had low levels of health information literacy. SMA information visibility and standardization need to be improved. Medical personnel with experience in the diagnosis and treatment of SMA and media should aim to share knowledge and increase the quality of life of those with SMA.

Factors Affecting Maternal Mortality Rates in Nigeria: A Review of Challenges and Potential Solutions

Maternal mortality is a significant public health issue in Nigeria, accounting for approximately 23% of global maternal deaths. This review explored the main factors affecting maternal mortality rates in Nigeria and proposed potential solutions. Accurate data collection on maternal health in Nigeria, especially in rural areas, remains challenging. Aims: this paper aimed to identify the key factors contributing to maternal mortality in Nigeria and proposed solutions to address this issue. Study design: A qualitative analysis of literature review narration was employed taking into account the research methodology, instrument interpretation, and data analysis in order to avoid bias and misinterpretation of result findings. Methodology: The methodology was designed to systematically gather, analyse, and synthesise data from multiple sources, including the peer-reviewed academic literature, government reports, and NGO publications. To ensure rigor and reproducibility, in the literature search were utilised several databases and search engines beyond Google, including PubMed, Scopus, Web of Science, Google Scholar, Semantic Scholar, and Research Gate. 50 published papers and articles from credible sources were reviewed in the study, identifying the key issues such as inadequate healthcare infrastructure, socio-economic challenges, cultural and behavioural practices, as well as political factors. Results: The findings revealed that the major causes of maternal mortality in Nigeria included haemorrhage, infection, unsafe abortion, hypertensive diseases of pregnancy, and obstructed labour. There were cases of socio-economic factors such as unavailability of electricity, transportation delay, the lack of skilled medical personal and cultural factors such as traditional beliefs. Despite various interventions, progress in reducing maternal mortality has been limited. Conclusion: This paper emphasised the need for continuous investment in maternal and child health, improvements in healthcare infrastructure, education, and effective policy implementation. A holistic approach that integrates organisational structures, technical expertise, human experiences, and patient needs is essential for effectively reducing maternal mortality rates.

How real is real enough? Unveiling the diverse power of generative AI‐enabled virtual influencers and the dynamics of human responses

AbstractVirtual influencers in various forms are capturing a growing share of ad spend from human influencers. Followers respond to virtual influencers much as if they were human, with engagement rates and measures of trust and source credibility that rival their human counterparts. However, there is an acute need for more nuanced understanding of the differential characteristics of user engagement with human influencers and the many emerging forms, types and interactional characteristics of virtual influencers. We conduct an exploratory study of three parts. First, through an indepth review of the existing literature, we delineate the implications of unsettled taxonomies of virtual influencers by function and form, and we outline a revised typology. Second, our secondary review of virtual influencer literature, trade, and industry sources conceptualizes divergent factors influencing the persuasive capability of human and virtual influencers while identifying intersecting research themes. From this synthesis we induce suggestions for future research and practice. Finally, we assess, refine and adjust our framework through depth interviews with leading expert practitioners to generate six key findings to guide future researched‐backed virtual influencer practice and research.

Perspectives of Sexual and Gender Minority Youth on Anti-Vaping Messages in Social Media.

Sexual and gender minority (SGM) youth have higher rates of nicotine vaping than other youth in the United States. While social media can be effective in reaching youth and discouraging vaping, informed cultural tailoring is necessary to ensure effective messaging to SGM youth. This study aimed to understand SGM youth perspectives on anti-vaping social media messages and tailoring approaches. In-depth, qualitative videoconference interviews were conducted from February to July 2022 with 34 SGM youth recruited in the United States via social media ads. The interview guide addressed participants' beliefs about vaping, the context of vaping, perspectives on tailoring messages, and responses to examples of social media anti-vaping messages. Coding and thematic analysis followed a team-based approach. SGM youth perspectives fell into four categories - representation and diversity, facts and evidence, empowering messages, and source credibility. Participants stressed the importance of accurate, genuine representation of SGM youth in messages, but also noted that more overt representation may be seen as tokenizing. Participants recommended partnering with known LGBTQ+ influencers who can promote or share anti-vaping messages on social media platforms. They also recommended using culturally tailored language, including statistics specific to SGM youth, and invoking themes of empowerment to improve the relevance, reach, and effectiveness of anti-vaping campaigns. Findings can inform future efforts to develop anti-vaping messages for SGM youth with effective reach through social media. Nuanced perspectives on SGM representation in messages suggest a careful approach to tailoring. Concerns around inauthenticity may be minimized by ensuring SGM youth are included in message development and dissemination. This study describes the importance of being attentive to the tailoring preferences among the current generation of sexual and gender minority youth. Findings will inform social media-based messaging strategies that discourage nicotine vaping tailored for SGM youth in health campaign material design and evaluation, ensuring that tailored messages are designed in ways that avoid unintended consequences. The study also describes methods for effectively engaging SGM youth in research to improve the relevance of health education materials for this population and increase reach, which in turn can lead to reduction in vaping practices among SGM youth.

The role of source attractiveness and source credibility in advertising field hockey: a minority sport

PurposeThe purpose of this research is to examine the extent to which source attractiveness and source credibility (or skill in a sporting context) provide an effective marketing strategy for Field Hockey in New Zealand, a minority sport Minority sports struggle to generate capital and have minimal sponsorship backing due to small participation and viewership rates compared to “major sports”. By understanding how source attractiveness and source credibility work in the context of a minority sport such as hockey, more effective advertising towards target audiences can be achieved. We also consider differences between advertising to players and no-players of the sport. This is the first research to consider these issues.Design/methodology/approachFour advertisements were created in an experimental design that manipulated the two variables: source credibility and source attractiveness, in an advertisement promoting Hockey. A survey was conducted, using an online questionnaire.FindingsResults show that a mixture physical attractiveness and skill (credibility) increase attitudes towards the advertisement. This results in positive intentions to both watch and play hockey. When the respondents were segmented into hockey players and non-hockey players, only skill is effective for the Hockey Player segment, whereas both skill and attractiveness are effective for non-players.Research limitations/implicationsFuture research should include comparing hockey to further minority sports codes. Additionally, understanding if male models created the same effects would be particularly interesting for further research.Practical implicationsManagement should focus on skill, with physical attractiveness being considered, but not as the most important attribute. If targeting hockey players, skill needs to be especially visible. Even though these elements could be argued to be within the “proverbial eye of the beholder”, the results have shown that in terms of sports advertising, it is possible to portray these two attributes in a generalised way.Originality/valueThis research to focuses on source credibility and attractiveness in a minority sporting context, in particular field hockey, whereas the majority of research considers major sporting codes. In addition, involvement with the sport is also considered.

The Effect of Electronic Word of Mouth on Brand Image and Purchase Intention of Youth Customers in Kathmandu Valley

This study examines the effect of electronic word of mouth on brand image and purchase intention of youth customers in Kathmandu Valley. Brand purchase of customer is the dependable variable. The independent variables are brand image, price, information usefulness, source credibility and purchase intention. The primary source of data is used to assess the opinions of the respondents regarding the electronic word of mouth on brand image and purchase intention of youth customers in Kathmandu Valley. The study is based on primary data of 135 respondents. To achieve the purpose of the study, structured questionnaire is prepared. The correlation coefficients and regression models are estimated to test the significance and importance of different factors influencing brand image and purchase intention of youth customers during in Kathmandu Valley. The study showed that brand image and information usefulness have positive impact on brand purchase of customer. It indicates that increase in brand image and information usefulness leads to increase in brand purchase of customer. Likewise, source credibility has a positive impact on brand purchase of customer. It indicates that increase in source credibility leads to increase in brand purchase of customer. Similarly, purchase intention has a positive impact on brand purchase of customer. It means that increase in purchase intention leads to increase in brand purchase of customer. Moreover, price has a negative impact on brand purchase of customer. It indicates that increase in price leads to decrease in brand purchase of customer.

Supporting caregivers of people with dementia: insights from Demensia KITA mobile application online content development

Dementia significantly impacts caregivers, particularly in low and middle-income countries where support is often inadequate. Given the gap in affordable and culturally relevant digital resources for Malaysian dementia caregivers, we developed "Demensia KITA," a mobile application (app) specifically tailored to their needs. This study utilized a theoretical framework proposed from existing literature and the "Model of Carer Stress and Burden". This paper discusses our app content development, highlighting key findings and challenges. To assess caregivers’ needs, the Nominal Group Technique (NGT) with five dementia caregivers was conducted, followed by a Focus Group Discussion (FGD) with eight medical professionals. Both sessions were conducted online via Google Meet. In the NGT, ideas were generated, organized, prioritized, reviewed, and refined by medical professionals in the FGD. Content relevant to addressing the complexities of dementia caregiving was then discussed. Topics were either adapted from established modules or newly developed from credible sources. Subsequently, these were organized into modules and themes, and subsequently underwent expert validation. From the NGT, three key domains emerged: Knowledge, Services, and Support. These were further organized into two modules: 'Patient Care for Caregivers' and 'Caregiver Wellbeing'. Within these, twelve sub-modules were identified, covering a range of topics including basic knowledge on dementia, patient care, nutritional management, oral and dental care, simple exercises, daily activity and memory rehabilitation, service directories, support groups, emotional and stress management, welfare assistance, and daily motivation. This framework was developed to address the specific needs of dementia caregivers in terms of psychoeducation, psychosocial and caregiving skills, incorporating expert opinions in the field. This study corroborates the feasibility of online methods for mobile health app content development and encourages similar research. Future studies should evaluate Demensia KITA's effectiveness in alleviating caregiver burden across all regions, assess users’ acceptance, and ensure it meets the evolving needs of Malaysian caregivers with regular updates.

The Effects of Assumed AI vs. Human Authorship on the Perception of a GPT-Generated Text

Artificial Intelligence (AI) has demonstrated its ability to undertake writing tasks, including automated journalism. Prior studies suggest no differences between human and AI authors regarding perceived message credibility. However, research on people’s perceptions of AI authorship on complex topics is lacking. In a between-groups experiment (N = 734), we examined the effect of labeled authorship on credibility perceptions of a GPT-written science journalism article. The results of an equivalence test showed that labeling a text as AI-written vs. human-written reduced perceived message credibility (d = 0.36). Moreover, AI authorship decreased perceived source credibility (d = 0.24), anthropomorphism (d = 0.67), and intelligence (d = 0.41). The findings are discussed against the backdrop of a growing availability of AI-generated content and a greater awareness of AI authorship.

Navigating the metaverse: unraveling the impact of artificial intelligence—a comprehensive review and gap analysis

In response to the burgeoning interest in the Metaverse—a virtual reality-driven immersive digital world—this study delves into the pivotal role of AI in shaping its functionalities and elevating user engagement. Focused on recent advancements, prevailing challenges, and potential future developments, our research draws from a comprehensive analysis grounded in meticulous methodology. The study, informed by credible sources including SD, Scopus, IEEE, and WoS, encompasses 846 retrieved studies. Through a rigorous selection process, 54 research papers were identified as relevant, forming the basis for a specific taxonomy of AI in the Metaverse. Our examination spans diverse dimensions of the Metaverse, encompassing augmented reality, virtual reality, mixed reality, Blockchain, Agent Systems, Intelligent NPCs, Societal and Educational Impact, HCI and Systems Design, and Technical Aspects. Emphasizing the necessity of adopting trustworthy AI in the Metaverse, our findings underscore its potential to enhance user experience, safeguard privacy, and promote responsible technology use. This paper not only sheds light on the scholarly interest in the Metaverse but also explores its impact on human behavior, education, societal norms, and community dynamics. Serving as a foundation for future development and responsible implementation of the Metaverse concept, our research identifies and addresses seven open issues, providing indispensable insights for subsequent studies on the integration of AI in the Metaverse.

Knowledge, Attitudes, and Perceptions of Maternity Care Providers on the Implementation of Calcium Supplementation during Pregnancy in Three Public Hospitals in Argentina: A Qualitative Study.

The aim of this study was to explore maternity care providers' knowledge, attitudes, and perceptions about the use of calcium supplements during pregnancy for the prevention of preeclampsia in three hospitals from Metropolitan Buenos Aires, Argentina. We conducted semi-structured interviews and followed a thematic analysis framework. Maternity care providers' knowledge, attitudes, and practices regarding calcium supplementation during pregnancy are linked to barriers to the potential implementation of calcium supplementation. Free provision of calcium supplements by the government, coupled with training that reinforces the scientific evidence supporting their use to prevent preeclampsia, along with documented recommendations from credible sources, would be crucial to ensure that health providers adopt the use of calcium supplements in antenatal care. Future studies should assess pregnant women and policymakers' perceptions about calcium supplementation during pregnancy, as well as local infrastructure to provide access to free-of-charge calcium supplements in antenatal care settings. Economic evaluation with local information could inform policymakers and advocate for the implementation of strategies to reduce preeclampsia.

Behavior change techniques to increase physical activity among older adults living in long-term care facilities: A systematic review.

Despite the health benefits of physical activity, many older adults living in long-term care facilities lead sedentary lifestyles and do not meet minimum physical activity recommendations. Determining the behavior change techniques (BCTs) used in physical activity interventions can help us understand the underlying mechanisms by which behavioral change is achieved. The purpose of this systematic review was to identify and evaluate BCTs in physical activity interventions for the elderly residents. Six electronic databases were searched and 15 eligible studies were retained. Nine promising BCTs associated with physical activity promotion among elderly residents were identified: credible source, social support (unspecified), goal setting (outcome), goal setting (behavior), demonstration of the behavior, instruction on how to perform a behavior, self-monitoring of behavior, self-monitoring of outcome(s) of behavior, and adding objects to the environment. Future research is encouraged to select and tailor these BCTs to the specific needs and preferences of the target population.

Using Short-Form Videos to Get Clinical Trial Newcomers to Sign Up: Message-Testing Experiment.

Recruiting participants for clinical trials poses challenges. Major barriers to participation include psychological factors (eg, fear and mistrust) and logistical constraints (eg, transportation, cost, and scheduling). The strategic design of clinical trial messaging can help overcome these barriers. While strategic communication can be done through various channels (eg, recruitment advertisements), health care providers on the internet have been found to be key sources for communicating clinical trial information to US adults in the social media era. This study aims to examine how communication source (ie, medical doctors and peers) and message framing of TikTok videos (ie, psychological and logistical framing) influence clinical trial-related attitudes, perceptions, and sign-up behaviors under the guidance of the integrated behavioral model. This study used a 2 (source: doctor vs peer) × 2 (framing: psychological vs logistical) between-participant factorial design web-based experiment targeting adults in the United States who had never participated in clinical trials (ie, newcomers). A Qualtrics panel was used to recruit and compensate the study respondents (n=561). Participants viewed short-form videos with doctors or peers, using psychological or logistical framing. The main outcome measures included perceived source credibility, self-efficacy, attitude toward clinical trial participation, behavioral intention, and sign-up behavior. Structural equation modeling was used to analyze the direct and indirect effects of message factors on the outcome variables. Source (doctor=1; peer=0) and framing (psychological=1; logistical=0) were dummy-coded. Doctor-featured messages led to greater perceived source credibility (β=.31, P<.001), leading to greater self-efficacy (95% CI 0.13-0.30), which in turn enhanced behavioral intention (95% CI 0.12-0.29) and clinical trial sign-up behavior (95% CI 0.02-0.04). Logistical barrier-framed messages led to greater self-efficacy (β=-.09, P=.02), resulting in higher intention to participate in clinical trials (95% CI -0.38 to -0.03) and improved sign-up behavior (95% CI -0.06 to -0.004). Logistical barrier-framed messages were also directly associated with an increased likelihood of signing up for a clinical trial (β=-.08, P=.03). The model accounted for 21% of the variance in clinical trial sign-up behavior. Attitude did not significantly affect behavioral intention in this study (β=.08, P=.14), and psychological and logistical barrier-framed messages did not significantly differ in attitudes toward clinical trial participation (β=-.04, P=.09). These findings advance our understanding of how people process popular message characteristics in short-form videos and lend practical guidance for communicators. We encourage medical professionals to consider short-form video sites (eg, TikTok and Instagram Reels) as effective tools for discussing clinical trials and participation opportunities. Specifically, featuring doctors discussing efforts to reduce logistical barriers is recommended. Our measuring of actual behavior as an outcome is a rare and noteworthy contribution to this research.

Diet and Physical Activity Interventions for People from Minority Ethnic Backgrounds in the UK: A Scoping Review Exploring Barriers, Enablers and Cultural Adaptations.

Type 2 diabetes (T2D) and cardiovascular disease (CVD) are a global pandemic, driven by obesity, poor diet and physical inactivity. In the UK, the prevalence of T2D and CVD is higher in minority ethnic groups. Lifestyle prevention interventions can be effective but uptake amongst minority ethnic groups in the UK is low and the extent of cultural adaptations to increase engagement unknown. To explore barriers, enablers and culturally adapted lifestyle interventions in UK minority ethnic groups. Four electronic databases were searched from to January 2013-2023. Two independent reviewers carried out manuscript selection and data extraction. Barriers and enablers were mapped to the Capability + Opportunity + Motivation = Behaviour (COM-B) theoretical model. Intervention adaptations were linked to behaviour change strategies and reported within a Cultural Adaptation framework. Twenty-three studies were included, reporting barriers/enablers, culturally adapted interventions or both. Barriers and enablers mostly mapped to social and physical opportunity, and reflective motivation. Common adaptation strategies considered behavioural influences related to culture, values, religious beliefs and/or traditions. Most impactful strategies were associated with using credible sources of information and reorganising social and environmental contexts. The current umbrella approach to preventative intervention delivery is unlikely to promote sustained participation in behaviour change amongst UK ethnic minorities. Engagement strategies for this population should consider key determinants such as social contexts, beliefs and cultural norms. Important research gaps include interventions investigating tailored interventions for Black populations, and the impact of negative social experiences (e.g., racism) on engagement.

Differentiating broadcast from viral: a causal inference approach for information diffusion analysis

Classifying information diffusion patterns is critical to many information analysis areas, e.g., misleading information detection. However, diffusion pattern classification remains challenging when multiple users are involved. To address this challenge, this study aims to classify how information diffuses, distinguishing between broadcast and viral spreading, solely through the analysis of observational data from retweet networks on X (formerly known as Twitter). In broadcasting, most users directly receive information. However, viral spreading allows users the opportunity to receive information from a variety of sources. Therefore, viral spreading increases the likelihood of identifying misleading information. Existing methods classify diffusion types mainly through structural virality, which relies on the average distance between the users. However, when dealing with diffusion networks involving two or more information sources, these approaches can potentially lead to confusion regarding causality. To tackle this problem, we develop a deterministic causal inference method for categorizing information diffusion types. To the best of our knowledge, this is the first study investigating information diffusion types based on causality. This approach can be used to assess source credibility and assist in detecting misleading information. It can also be extended to other social media platforms.Graphical

ChatGPT as an Information Source for Patients with Migraines: A Qualitative Case Study.

Migraines are one of the most common and expensive neurological diseases worldwide. Non-pharmacological and digitally delivered treatment options have long been used in the treatment of migraines. For instance, migraine management tools, online migraine diagnosis or digitally networked patients have been used. Recently, applications of ChatGPT are used in fields of healthcare ranging from identifying potential research topics to assisting professionals in clinical diagnosis and helping patients in managing their health. Despite advances in migraine management, only a minority of patients are adequately informed and treated. It is important to provide these patients with information to help them manage the symptoms and their daily activities. The primary aim of this case study was to examine the appropriateness of ChatGPT to handle symptom descriptions responsibly, suggest supplementary assistance from credible sources, provide valuable perspectives on treatment options, and exhibit potential influences on daily life for patients with migraines. Using a deductive, qualitative study, ten interactions with ChatGPT on different migraine types were analyzed through semi-structured interviews. ChatGPT provided relevant information aligned with common scientific patient resources. Responses were generally intelligible and situationally appropriate, providing personalized insights despite occasional discrepancies in interaction. ChatGPT's empathetic tone and linguistic clarity encouraged user engagement. However, source citations were found to be inconsistent and, in some cases, not comprehensible, which affected the overall comprehensibility of the information. ChatGPT might be promising for patients seeking information on migraine conditions. Its user-specific responses demonstrate potential benefits over static web-based sources. However, reproducibility and accuracy issues highlight the need for digital health literacy. The findings underscore the necessity for continuously evaluating AI systems and their broader societal implications in health communication.

Evidence-based scientific thinking and decision-making in everyday life.

In today's knowledge economy, it is critical to make decisions based on high-quality evidence. Science-related decision-making is thought to rely on a complex interplay of reasoning skills, cognitive styles, attitudes, and motivations toward information. By investigating the relationship between individual differences and behaviors related to evidence-based decision-making, our aim was to better understand how adults engage with scientific information in everyday life. First, we used a data-driven exploratory approach to identify four latent factors in a large set of measures related to cognitive skills and epistemic attitudes. The resulting structure suggests that key factors include curiosity and positive attitudes toward science, prosociality, cognitive skills, and openmindedness to new information. Second, we investigated whether these factors predicted behavior in a naturalistic decision-making task. In the task, participants were introduced to a real science-related petition and were asked to read six online articles related to the petition, which varied in scientific quality, while deciding how to vote. We demonstrate that curiosity and positive science attitudes, cognitive flexibility, prosociality and emotional states, were related to engaging with information and discernment of evidence reliability. We further found that that social authority is a powerful cue for source credibility, even above the actual quality and relevance of the sources. Our results highlight that individual motivating factors toward information engagement, like curiosity, and social factors such as social authority are important drivers of how adults judge the credibility of everyday sources of scientific information.

The Indigenous People of Biafra's (IPOB) Self-Determination Movements and the Role of the United Nations.

This study examines “The Dynamics of Self-Determination Movements and the Role of the United Nations: A Case Study of the Indigenous People of Biafra (IPOB) in Nigeria.” The UN's lack of action and formal recognition of IPOB's agitation has undermined the protection of the rights of indigenous people in Nigeria, particularly the Igbo community. The study adopts a qualitative methodology, utilising a time-series research design and documentary analysis of credible secondary sources, including international NGO reports and UN documents. The theoretical framework employed is the Theory of Social Constructivism, which posits that the actions of states and international organizations are shaped by socially constructed norms, ideas, and identities. One key finding is that the UN's indifference can be attributed to complex political dynamics, member states' economic interests, and the prioritisation of territorial integrity over self-determination claims. It is recommended, inter alia, that the UN establish an independent commission or a special rapporteur to investigate allegations of human rights violations against IPOB members and the Igbo community, and hold the Nigerian government accountable for any violations.

Analisis Strategi Komunikasi Digital Affiliator Pemasaran Fashion dan Beauty di Shopee

This research was conducted to find out the digital communication strategy that Affiliators have in marketing in the field of fashion and beauty on shopping sites on social media Instagram. Shopee is an e-commerce platform that offers online buying and selling transactions safely and reliably via cellphones. Shopee is the object of this research because Shopee has succeeded in marketing digitally to Indonesian consumers, one of which is its Shopee Affiliate program. In this study, we want to examine Affiliators who play a role in promotional activities where someone will sell other people's products and get a commission if a purchase occurs through our reference. This research uses an interview method with 9 active affiliates on Instagram social media. Based on the results of the analysis, there are two most dominant concepts in communication attractiveness, namely Rational and Emotional Attractiveness, while social media influencers have two high source credibility attitudes, namely Attractiveness and Trustworthiness.