Content Providers Research Articles

Unveiling the power of youtube in digital financial literacy

Research aims: The importance of digital financial literacy (DFL) as a core component of education is expected to grow in the digital age. Social media platforms have made huge improvements in their ability to support information sharing and the establishment of educational communities. A total of 30 samples were obtained from YouTube video creators in Indonesia, Malaysia, and the Philippines. The authors compared two models of User Engagement Rate in this study, specifically Commitment 1: Engagement Rate and Commitment 2: Total Engagement. The objective of this study is, thus, to investigate the characteristics of social media video content that resulted in greater user interaction on social media platforms, specifically in the context of using YouTube as a platform for digital financial literacy tools.Design/Methodology/Approach: The present study employed quantitative methodologies, specifically exploratory factor analysis and predictive regression models.Research findings: The findings indicate that the fluency of videos, vividness level, and content type exerted a substantial influence on user engagement rate when considered in an integrated way rather than individually. The factors of popularity and virality had a substantial impact on the rates of user engagement.Theoretical contribution/Originality: This study represents a pioneering investigation into the potential of YouTube as a catalyst for progress in the realm of financial education, with a specific focus on enhancing digital financial literacy. Practitioner/Policy implication: Collaboration between content creators, corporate partners, and government entities can be leveraged to produce a very successful and widely shared video, hence creating the lucrative potential for monetization.Research limitation/Implication: This study was limited to three countries located in the Southeast Asian region, serving as the residence for content providers.

A Closer Look into IPFS: Accessibility, Content, and Performance

The InterPlanetary File System (IPFS) has recently gained considerable attention. While prior research has focused on understanding its performance characterization and application support, it remains unclear: (1) what kind of files/content are stored in IPFS, (2) who are providing these files, (3) are these files always accessible, and (4) what affects the file access performance. To answer these questions, in this paper, we perform measurement and analysis on over 4 million files associated with CIDs (content IDs) that appeared in publicly available IPFS datasets. Our results reveal the following key findings: (1) Mixed file accessibility: while IPFS is not designed for a permanent storage, accessing a non-trivial portion of files, such as those of NFTs and video streams, often requires multiple retrieval attempts, potentially blocking NFT transactions and negatively affecting the user experience. (2) Dominance of NFT (non-fungible token) and video files: about 50% of stored files are NFT-related, followed by a large portion of video files, among which about half are pirated movies and adult content. (3) Centralization of content providers: a small number of peers (top-50), mostly cloud nodes hosted by tech companies, serve a large portion (95%) of files, deviating from IPFS's intended design goal. (4) High variation of downloading throughput and lookup time: large file retrievals experience lower average throughput due to more overhead for resolving file chunk CIDs, and looking up files hosted by non-cloud nodes takes longer. We hope that our findings can offer valuable insights for (1) IPFS application developers to take into consideration these characteristics when building applications on top of IPFS, and (2) IPFS system developers to improve IPFS and similar systems to be developed for Web3.

Quantitative analysis of social influence and digital piracy contagion with differential equations on networks

Illegal file sharing of copyrighted contents through popular file sharing networks poses an enormous threat to providers of digital contents, such as, games, softwares, music and movies. Though empirical studies of network effects on piracy is a well-studied domain, the dynamics of peer effect in the context of evolving social contagion has not been enough explored using dynamical models. In this research, we methodically study the trends of online piracy with a continuous ODE approach and differential equations on graphs to have a clear comparative view. We first formulate a compartmental model to study bifurcations and thresholds mathematically. We later move on with a network-based analysis to illustrate the proliferation of online piracy dynamics with an epidemiological approach over a social network. We figure out a solution for this online piracy problem by developing awareness among individuals and introducing media campaigns, which could be a valuable factor in eradicating and controlling online piracy. Next, using degree-block approximation, network analysis has been performed to investigate the phenomena from a heterogeneous approach and to derive the threshold condition for the persistence of piracy in the population in a steady state. Considering the dual control of positive peer influence and media-driven awareness, we examine the system through realistic parameter selection to better understand the complexity of the dynamics and suggest policy implications.

Success of an expedited health system-based pharmacy technician training program to address the workforce needs of an institution.

The formation, implementation, outcomes, and impact on retention of a health system-based pharmacy technician training program are described. The program seeks to produce graduates who are well equipped for employment within the health system and eligible for certification by the Pharmacy Technician Certification Board, thereby developing a consistent source of well-trained technicians to meet the needs of the health system. The program's ideal candidate is one who is seeking to begin or transition to a career in health-system pharmacy. The affordable accredited program provides candidates with the skills needed to become a certified pharmacy technician. A distinguishing feature of the program design is the pace of the curriculum, designed to be completed in 11 weeks. The program is accredited by the American Society of Health-System Pharmacists and the Accreditation Council for Pharmacy Education at the entry-level accreditation standard. The program is structured to enroll 3 cohorts annually, beginning in April, August, and January. This provides a consistent and dependable bolus of graduates for hiring managers across the health system's pharmacy department. The program supports enrollment by internal and external candidates. In addition to didactic content, the simulation component of the program combines remote and onsite simulations. Following completion of the didactic and simulation content, students receive 2 blocks of acute and ambulatory care shadowing for 111 hours over 2.5 weeks of experiential content. The program realized benefits by partnering with an external digital content provider. First, the platform enabled the team to accelerate the time to program launch. A second benefit of the platform is the ability to conduct the program and update content. In April 2018, the institution launched the program to meet pharmacy technician needs within the organization. As of April 2022, 11 cohorts have successfully completed the program, with a total of 41 graduates. At the time of writing, the retention rate in the health system for those beginning the training program in April 2018 was an impressive 90%. In comparison, the overall retention rate for the pharmacy department during this same period was 31%. The program has a graduation rate of 93% and a job placement rate as a pharmacy technician of 90%. The institution believes that this program has helped provide a consistent supply of well-trained technicians to meet the needs of the health system and that the program provides a superior level of clinical training to technician students at an affordable price. The program represents a novel strategy to efficiently and effectively train pharmacy technicians and has been demonstrated to result in improvements to the health system. Establishing a pharmacy technician training program provides a mechanism to ensure continuity and uniformity as healthcare continues to evolve. By providing a source of well-trained pharmacy technicians, the program allows the profession to continue to achieve its overarching aims.

A-I-D for Cascades: Designing a theory-informed intervention for addressing prescribing cascades in primary care

Abstract Introduction Prescribing cascades, which occur when a medication is used to treat the side effect of another medication, are important contributors to polypharmacy. There is an absence of studies that evaluate the implementation or impact of existing interventions to address prescribing cascades in practice. Aim To design theory-informed options for interventions to address prescribing cascades within interprofessional primary care teams. Methods The Behaviour Change Wheel (BCW) framework, and its eight steps, were applied to guide intervention development by the research team. Three target behaviours were drafted and prioritised for intervention development based on data collected as part of two qualitative studies exploring why and how cascades occur across practice settings.[1,2] A target behaviour was selected and the COM-B (capability, opportunity, motivation-behaviour) model was then applied to identify the relevant factors for interprofessional primary care teams. The BCW was used to determine the relevant intervention types and policy options for the behaviour. Next, corresponding behaviour change techniques (BCTs) were identified and intervention options drafted. Prioritisation of behaviours and intervention examples were guided by the APEASE criteria (Affordability, Practicability, Effectiveness/cost-effectiveness, Acceptability, Side-effects/safety, Equity). Results The three target behaviours involved supporting: 1) healthcare providers to ask about, investigate and manage cascades (often through deprescribing), 2) the public to ask about prescribing cascades, and 3) the public to share medication histories and experiences with healthcare providers. The team selected the healthcare provider behaviour, called A-I-D (ask, investigate, deprescribe), for intervention development. Psychological capability and physical opportunity were determined to be the most relevant COM-B components, corresponding to education, training, environmental restructuring, and enablement intervention types and the guidelines, communications and marketing, and service provision policy options within the BCW model. Ultimately, 10 intervention options comprised of BCTs were developed by the team, which are ready for further prioritisation by stakeholders. These can be grouped into three categories: provision of educational content or materials for use by clinicians, provision of consultation or training to support clinicians, and knowledge mobilisation strategies. Through the process, the team identified that development of a practice guidance tool, which assists healthcare providers to investigate and manage prescribing cascades, is needed to support further intervention development. Conclusion The BCW framework guided the design of intervention options that will support primary care clinicians practising in interprofessional teams to address prescribing cascades. A limitation of this work is that applying the BCW framework required several judgements by the team, comprised of scientists, pharmacists, and nurses but not a general practitioner physician. Many but not all have practised with primary care interprofessional teams. When identifying interventions for future consultation, it was determined that the development of a practice guidance tool (i.e., which assists with identifying, investigating, and managing prescribing cascades) underpinned all the proposed interventions for addressing prescribing cascades in practice. Further research is needed to determine what primary care clinicians will need in this practice guidance tool and how it will be used in practice, to support its development.

A review of challenges, algorithms and evaluation methods in news recommendation

News reading is an important social activity and to help readers quickly find news articles of their interest, news content providers and aggregators use recommender systems. Such systems are designed to address a variety of challenges. Inspiration for algorithmic design is taken from various domains which has resulted in the creation of an enormous body of literature. Also, different methods are used for evaluation of the recommendation algorithms. In this study, we review these developments and present three major components in news recommendation research. First, we list and categorise the challenges faced while designing news recommender systems. We especially list the different algorithmic designs used for generating personalised and non-personalised recommendations. We discuss the major neural network architectures that are being increasingly used for both collaborative and content-based recommender systems. Next, we list the two major evaluation methods and also list some popular datasets used in evaluation. Finally, we identify the emerging trends in news recommender research. We find that the issues related to fake news, trust and use of personal data for news recommendation are gaining wider attention, and deep learning methods are being increasingly used to address these issues.

Digitally Scaffolded Vulnerability: Facebook’s Recommender System as an Affective Scaffold and a Tool for Mind Invasion

I aim to illustrate how the recommender systems of digital platforms create a particularly problematic kind of vulnerability in their users. Specifically, through theories of scaffolded cognition and scaffolded affectivity, I argue that a digital platform’s recommender system is a cognitive and affective artifact that fulfills different functions for the platform’s users and its designers. While it acts as a content provider and facilitator of cognitive, affective and decision-making processes for users, it also provides a continuous and detailed amount of information to platform designers regarding users’ cognitive and affective processes. This dynamic, I argue, engenders a kind of vulnerability in platform users, structuring a power imbalance between designers and users. This occurs because the recommender system can not only gather data on users’ cognitive and affective processes, but also affects them in an unprecedentedly economic and capillary manner. By examining one instance of ethically problematic practice from Facebook, I specifically argue that rather than being a tool for manipulating or exploiting people, digital platforms, especially by their underlying recommender systems, can single out and tamper with specific cognitive and affective processes as a tool specifically designed for mind invasion. I conclude by reflecting how the understanding of such AI systems as tools for mind invasion highlights some merits and shortcomings of the AI Act with regards to the protection of vulnerable people.

Selling by contributing: the monetization strategy of individual content providers in the light of human brand

PurposeThe integration of social media and e-commerce has resulted in a rising phenomenon among individual content providers (ICPs), who used to offer free content, to provide consumers with paid content, such as online courses, Q&As or consultations. Despite the prevalence of ICPs’ content monetization, empirical research has rarely studied its underlying mechanism. This paper examines how the characteristics of free content contributed by ICPs on social media platforms influence their paid content sales, focusing on the perspective of human brand.Design/methodology/approachThe empirical setting is an online knowledge exchange platform, where users are allowed to provide free content (e.g. answers) on the social media platform and launch paid content (e.g. lectures) on the e-commerce platform. A machine learning technique is employed to construct measures for the characteristics of free content, and fixed-effects estimation is presented to confirm which factors have a significant influence on the sales of paid content.FindingsThe empirical results show that the quality, diversity and expertness of free content have a significant positive impact on the sales of the ICP-paid content, with the brand popularity of ICP playing a mediating role.Originality/valueThis study is the first attempt to demystify the relationship between content contribution and ICPs’ content monetization from the perspective of human brand. The findings validate the effectiveness of the “Selling by Contribution” strategy and provide valuable insights for ICPs and social media platforms.

Проблема реализации целей наказания за совершение преступления, предусмотренного ст. 210.1 УК РФ

The study is based on the problem of the evaluation of a criminal act and achievement of goals of the punishment for a crime (Art. 2101 of the Criminal Code of the Russian Federation) considering a high position in the criminal hierarchy. The provision content is analyzed to show the dual nature of its interpretation and the problem of achievement of practically unachievable goals of the punishment for a committed crime to rectify social justice, reform the convict. The authors review different points of view from the standpoint of evaluation of constituent elements of the crime: as a continuing condition or a continuing act; dangerous position of an individual being a criminal authority. The paper justifies a novel authors' view on the problem resolution considering foreign experience that lies in the idea that it is necessary to single out specialized correctional institutions for leaders of the criminal world as especially dangerous professional criminals. It is stated that such approach will facilitate the achievement of the preventive punishment goal: reduction in the recidivism rate, high degree of isolation of such criminals and better chances of other convicts for re-socialization.

Work Environment and Depressive Symptoms of Webtoon Writers

BackgroundWebtoon, a digital form of comics created in the Republic of Korea, has spread widely with advantages that anyone can become a cartoonist and that autonomy of creation is guaranteed. The purpose of this study is to identify the working conditions of webtoon writers and analyze the relationship between these conditions and depressive symptoms. MethodsA survey was carried out on webtoon writers and a survey data of 312 webtoon writers were analyzed. The questionnaire included basic socio-demographic characteristics, webtoon writers’ contractual type, fields of activity (webtoon creator, story writer, illustrator), and working environment (labor discretion etc.). We investigated depressive symptoms and analyzed its relation to the work environment of webtoon writers. ResultsWebtoon writers were exposed to long working hours, high labor intensity, limited labor discretion, negative comments from readers, and had a high prevalence of depressive symptoms. Compared to story writers who contracted directly with platforms, story writers and the illustrators who contracted with content providers (CPs) were 9.51 times (OR = 9.51, 95% CI = 1.47 - 61.33) and 6.47 times (OR = 6.47, 95% CI = 1.08 – 38.75) more likely to have depressive symptoms, respectively. ConclusionsThis study emphasizes the urgent necessity to improve the overall working environment in the webtoon industry and implement measures to tackle the escalating mental health challenges faced by illustrators and story writers contracted with CPs, especially given the increasing popularity of novel comics.

A Moving Metaverse: QoE challenges and standards requirements for immersive media consumption in autonomous vehicles

The evolution of Autonomous Vehicles (AVs) has blurred the distinction between drivers and passengers, resulting in increased demand for in-car entertainment. Simultaneously, social networking platforms are evolving to adopt AR (Augmented Reality)/VR (Virtual Reality)-centric metaverses. Self-driving cars will free up the drivers and passengers to engage in leisure activities such as watching VR videos and playing games while travelling. Before driverless cars can become a “third living space”, open challenges confront the provision of immersive content (e.g., VR videos and gaming) with a high level of Quality of Experience (QoE). Current autonomous vehicular network technologies focus on navigation and safety and rely on ubiquitous high-speed 5G/6G network connectivity to provide a seamless streaming experience in AVs. The compounded risks of cyber- and motion-sickness are identified as barriers to the enjoyment of in-car VR entertainment technologies. The influence of AV car networks in different traffic conditions is identified as a key factor to minimize a person’s risk of sickness and increase overall QoE. However, assessing the QoE of immersive media consumption in AV to its full potential is a difficult task that requires proper standard guidelines and directions. Existing surveys focus only on a specific metaverse or transportation system. These surveys lack a comprehensive view of the entire immersive media consumption process, QoE factors and aspects, and QoE standards for assessing immersive content in vehicular networks. To address these issues, we present an overview of the research landscape in the context of QoE and network standards that highlights the need for experimental studies to inform and consolidate the methodologies and recommendations for standardization of immersive content QoE assessment in AVs. Research and user studies have not yet yielded standards or recommendations describing assessment methodologies to evaluate immersive systems, such as exist for traditional video and images. A framework is outlined to provide a comprehensive understanding of the QoE influencing factors and aspects that will assist in adapting, augmenting, and producing standards for immersive entertainment in autonomous vehicles.

Toward Equitable Peering: A Proposal for a Fair Peering Fee Between ISPs and Content Providers

Toward Equitable Peering: A Proposal for a Fair Peering Fee Between ISPs and Content Providers

UTILIZATION OF DIGITAL-BASED LEARNING MEDIA IN THE INDEPENDENT CURRICULUM IN ELEMENTARY SCHOOLS

The utilization of digital-based learning media in elementary schools is becoming increasingly important in supporting the implementation of the Free Curriculum. Digital media such as interactive multimedia, e-learning, instructional videos, augmented reality (AR), and virtual reality (VR) have the potential to enhance active student participation, facilitate contextual and meaningful learning, and develop 21st-century skills. However, its implementation faces challenges such as limited technological infrastructure, educator skill shortages, lack of quality content, and insufficient stakeholder support. This research deeply examines the utilization of digital-based learning media in the Free Curriculum at Indonesian elementary schools, identifies influencing factors, and proposes optimization strategies. The method used is a literature review by analyzing and synthesizing information from relevant literature sources. The research results show that optimizing the utilization of digital media requires a comprehensive approach, including infrastructure development, educator training, provision of quality content, stakeholder collaboration, supportive policies, adequate funding, and the implementation of best practices. This research contributes to the development of effective implementation strategies to support the use of digital media in elementary school learning and to achieve the goals of the Free Curriculum in creating meaningful learning processes and developing 21st-century skills.

Learning Audio and Video Bitrate Selection Strategies via Explicit Requirements

Mobile video streaming dominates today's network traffic, and adaptive bitrate (ABR) algorithms have been routinely adopted for transmitting media content across dynamic mobile networks. State-of-the-art ABR algorithms mainly alter video bitrate without considering audio bitrate as they consider the impact on the video negligible due to their small size. However, to bring users an immersive experience, recent content providers have applied high-quality audio with large sizes, like stereophonic sound. Therefore, improper audio bitrate selection will adversely affect video bitrate selection, leading to undesirable audio/video combinations (the highest video quality with the lowest audio quality, and vice versa) and frequent playback interruptions. To address these inefficiencies, we propose a Self-Play reinforcement learning-based Audio-aware ABR algorithm named SPA to learn strategies for audio and video bitrate selections. By learning from explicit goals, SPA can match the actual requirements and attain good performance. By conducting trace-driven and testbed-based experiments, we observe SPA's considerable superiority compared to existing approaches, including reducing the undesirable combinations by up to 34.17× and achieving zero stall time across 88.57% of traces. We also invite 35 volunteers to join a subjective test, and the result shows that 33/35 people consider SPA provides them with a satisfactory viewing experience.

Greening Service Capacity in Telecom Supply Chain under Environmental Regulation

Comprehensive understandings about how to realize service capability greenness in the telecom sector are still rare. In this paper, a non-serial telecom supply chain consisting of an infrastructure supplier, a content provider and a telecom operator is formulated under environmental regulation. The telecom operator aims to find the optimal green procurement ratio between traditional and green equipment. Some common real-life situations are assumed, and the service capacity greenness problems are solved by game theory regarding coordination and interaction among supply chain partners. The results show that the prevailing concern of managers’ “energy saving is not money saving” is the direct reason for a mixed purchase strategy. Further, when diseconomy of purchasing energy-saving equipment reaches a certain threshold, tightening environmental regulation may cause telecom companies to reduce the proportion of energy-saving equipment purchased. Finally, the telecom sector is characterized by its booming service capacity per equipment, which benefits green purchase ratio greatly. When the other six influencing factors are relatively stable, the driving force of telecommunication technology update will push the telecom sector to a greener future.

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The implementation of digital broadcasting policies in Indonesia was marked by the issuance of Law Number 11/2020 concerning Job Creation, which was followed by the migration from analog to digital broadcasting (Analog Switch Off/ASO). The dynamics of digital broadcasting are caused by the tug of war-between the legislative, executive, judiciary, academics, nongovernmental organizations, and the broadcasting media industry itself. What is the policy of digital broadcasting after the implementation of Law Number 11/2020 concerning Job Creation, especially Article 60 A regarding ASO on November 2, 2022? What are the opportunities and challenges that communication-based tertiary institutions have in utilizing digital broadcasting in Indonesia? The paradigm of this research is qualitative. Data collection techniques through observations on digital broadcasting business trends, interviews, and legal studies. As a result, the digital broadcasting policy has been running quite well so far. Although implementation in each field is constrained by various problems: infrastructure, infraculture, human resources, and the extent of territory. Findings found that higher education institutions must be able to take advantage of opportunities for digital broadcasting policies as a means of disseminating information. The latest research results indicate that universities can establish digital television companies or content providers as well as a place for distributing work for college graduates. Keywords: Broadcasting, digital, ASO, universities, policy.

New regulations on the sale of goods and provision of services and digital content in consumer trade - selected issues (II)

The article describes Directive 2019/770 of the European Parliament and of the Council (EU) of May 20, 2019 on certain aspects of contracts for the supply of digital content and services, which regulates the rights and obligations of businesses and consumers who are parties to contracts for the supply of digital content or services. The paper focuses in particular on the purpose of the European legislator in enacting the directive and how to implement the implemented provisions into Polish legislation.

THE IMPLICATIONS OF ARTIFICIAL INTELLIGENCE FOR EDUCATIONAL SYSTEMS: CHALLENGES, OPPORTUNITIES, AND TRANSFORMATIVE POTENTIAL

With advancements in Artificial Intelligence (AI) and machine learning, education systems are transforming. This paper analyzes the challenges AI poses for schools and teachers and the opportunities it presents for personalized learning. It evaluates three central challenges: updating curriculums with AI disciplines, adopting adaptive teaching techniques, and developing evaluation metrics for new paradigms. Policymakers must incorporate data science and machine learning into core frameworks. Self-paced learning platforms require new classroom dynamics. Assessments must prioritize higher-order thinking. The article emphasizes three crucial opportunities within an AI-driven education framework - broadening access, strengthening educators, and tailoring education. Online learning currently extends admission beyond geographical and economic hurdles. Intelligent content provision enables personalization for learners with disabilities. AI liberates precious teaching hours from routine tasks to concentrate on student welfare. Moreover, evolving learning technologies persistently amend lesson designs based on immediate responses. However, to actualize this vision, we need to tackle ethical concerns like the privacy of student data and the inherent biases that could infiltrate algorithms. In conclusion, despite some inevitable hitches in current systems, AI brings forth hopeful remedies to persistent issues such as inclusivity, resource limitations, and personalized guidance on a large scale. The article highlights that policy, institutional readiness, and public consciousness are equally important in steering this transformation. Educators need to acknowledge the potential of AI, prompting culture modifications centered around new perceptions of educational quality, accomplishment, and preparedness for the workforce. Further national initiatives merging education and AI will set the course for the future.

Adopting ChatGPT as a writing buddy in the advanced L2 writing class

Since its release, ChatGPT has raised concerns in many teaching contexts given its threat to reliably evaluating learners’ knowledge and skills. Within task-based pedagogy, however, this technology opens new avenues for second language (L2) teaching when adopting the technology as a writing buddy. Our study explores how ChatGPT as a model impacts the revision process of advanced L2 writers of German. Twenty-two university students participated in a two-week classroom-based intervention, producing two summaries of popular-scientific texts in L2 German. After writing a first draft, they compared their summaries with texts produced by ChatGPT (3.5) and revised, where necessary, their own text. In this paper, we analyze all students’ rubrics-based ratings of the ChatGPT models and present data of six focus students’ screen-recorded revision processes that we coded for revision focus, source, and success. Results reveal students’ growing awareness of characteristics of ChatGPT-output, such as linguistic accuracy and fluency, as well as its flaws in content provision. Revision data demonstrate that students skillfully made use of the models to improve their own texts. To conclude, our study provides evidence that using ChatGPT as models in writing and revision processes can stimulate higher-order thinking in the revision process of advanced L2 students.

Navigating Essential Components of Advertisements amidst Information Overload: Formulating Effective Strategies for the Development of Captivating Advertising Campaigns

The days of marketers thinking that just getting a product in front of customers would be enough to promote sales are long gone. Before, the creation of an advertisement was seen as the end of product marketing, and the sale of a product was seen as incomplete in the absence of such promotional activities. Although putting these claims in a research abstract runs the danger of seeming biased and leading to hasty judgements about a hypothesis before enough information is obtained, these claims have strong evidence behind them. Advertisers used to love being in the spotlight. On the other hand, content is widely available in the internet era. Content suppliers swarm various social media platforms with lively and customer-satisfied evaluations about locations, goods, services, and user experiences. Today's consumers actively seek for information in a changing world. When they come across something, customers look for reviews and comments online as quickly as possible. Can advertising still make a significant difference in the minds of customers in a world when information is freely available? This study adds to our knowledge of contemporary Indian consumer behaviour by indicating that the influence of marketing is confined to particular products and services. The conversation demonstrates that consumers still place a higher value on the advantages they receive from purchases, and that this influence is mostly felt at the media level.