Challenges Of Media Research Articles

Challenges for campus and community media in Asia-Pacific diversity

The ‘watchdog’ model has created a journalism culture that is too adversarial and creates conflicts rather than helping to solve today’s problems/conflicts. The panellists assess new journalism paradigms in the Asia-Pacific region where the media is able to make powerful players to account for facilitating the development needs of communities, especially those in the margins of society. A challenge for contemporary journalism schools is to address such models in a global context of ‘development rights’ with the UN’s Sustainable Development Goals as a benchmark. In the Pacific Islands context, journalists face a challenging news reporting terrain on their news beats, especially in the Melanesian countries of Fiji, Papua New Guinea, Solomon Islands and Vanuatu. Besides dealing with political instability, coups, civilian unrest and complex developmental issues, journalists must contend with hostile governments and draconian media legislation. The talents, idealism and storytelling skills of Pacific journalists can be cultivated and strengthened to produce independent platforms and models of journalism that challenge the status quo. Examples of this campus strategy include Radio Pasifik, Wansolwara, Pacific Scoop and Asia Pacific Report.

Echoes of peace: media's challenges and opportunities in shaping societal narratives

Media plays a multifaceted role in peacebuilding processes, presenting both challenges and opportunities. This article explores the complex interplay between media and conflict resolution efforts. It examines the ways in which media can exacerbate conflicts through the spread of misinformation, biased reporting, and amplification of divisive narratives. However, the article also highlights media's transformative potential in shaping narratives, fostering intercultural dialogue, facilitating conflict resolution, and promoting sustainable peace. Strategies discussed include media literacy education, capacity-building for conflict-sensitive reporting, promoting inclusive communication platforms, leveraging strategic communication, and safeguarding media freedom. The article emphasizes the importance of context-specific and culturally relevant approaches, as well as cross-sectoral collaborations involving media professionals, peacebuilders, policymakers, and local communities. Additionally, it explores the impact of emerging technologies, such as social media and immersive storytelling, on peacebuilding efforts. The article concludes by calling for continuous research, evaluation, and adaptation to harness the full potential of media in promoting reconciliation, empathy, and lasting peace in conflict-affected societies. By addressing challenges and capitalizing on opportunities, media can become a powerful catalyst for conflict transformation and the realization of a more just and equitable world.

BANKERS’ PERSPECTIVE ON SOCIAL MEDIA BANKING: A STUDY WITH SPECIAL REFERENCE TO SELECT INDIAN BANKS

Social Media Banking (SMB) is an electronic banking channel enabling users to perform their banking services and operations through social media. Most Indian banks use social media for advertisement, customer relations, and marketing communications of products and services, but only a few banks offer services related to social media banking. The main aim of this paper is to study the Bankers' perspective on Social Media Banking services provided by banks in India and the effect of demographic profiles. Primary data was collected through a structured questionnaire to achieve the above goal. The study considered selective public and private sector banks, and the significant variables were social media adoption in banks, benefits, and challenges of SMB. The researcher adopted a simple random sampling method to collect the data from 402 bank bankers who offer social media banking-related services to their customers, and the statistical tools used to attain the objectives of this study are the Independent sample t-test and ANOVA test. The study results from banking professionals whose banks offered SMB services showed a significant effect of demographic variables on social media adoption in banks and the benefits and challenges of SMB. The study's findings provide regulators and banks with insight into the benefits and challenges of social media banking, enabling them to implement a generalized framework and guidelines on social media banking. The researcher suggests to the banks that the benefits and challenges of social media banking pave the way to developing efficient and flawless models for their customers. At last, the study encourages customers to move towards social media for their relationship with banks and real-time grievance redressal.

Korean Ethnic Newspapers at a Crossroads

abstract: Ethnic and local news media face critical challenges due to the loss of traditional subscribers and relatively fewer resources in comparison with national and global news media companies. Responding to the changing news media market and environment, this article deals with the current challenges of ethnic news media and projects some possible future plans.

Social media threats and health among adolescents: evidence from the health behaviour in school-aged children study

BackgroundSocial media are immensely popular among adolescents. Thus, concerns have been raised about the threats adolescents encounter on social media and the possible negative health consequences, such as depressive symptoms and anxiety. This study investigated the prevalence of nine social media threats: (1) cyberbullying, (2) sexual harassment, (3) racism, (4) unauthorized distribution of sensitive material, (5) phishing attempts, (6) misinformation, (7) the sale or distribution of drugs, (8) harmful or dangerous social media challenges, (9) content causing appearance pressures. The study also investigated how individual and social factors, problematic social media use (PSMU), and online communication with strangers are associated with social media threat exposure, as well as the association between social media threats and self-rated health, depressive feelings, and anxiety symptoms.Methods and findingsNationally representative Health Behaviour in School-aged Children (HBSC) data from Finland were obtained from 2288 respondents aged 11, 13, and 15 years. Fixed effects regression models were applied. The most common threat, encountered daily and weekly, was misinformation. Regression models showed that individual and social factors, PSMU, and online communication with strangers explained adolescent exposure to social media threats in differing ways. Furthermore, certain factors (e.g., emotional intelligence, family support) were associated with encountering social media threats less frequently, whereas other factors (e.g., PSMU, online communication with strangers) were associated with more frequent encounters. Daily and weekly exposure to social media threats was systematically associated with poor self-rated health, frequent depressive feelings, and anxiety symptoms.ConclusionsOur study highlights the need for intervention and health promotion efforts to mitigate adolescent exposure to social media threats and ensuing negative health consequences.

Towards Media Monitoring: Detecting Known and Emerging Topics through Multilingual and Crosslingual Text Classification

This study aims to address challenges in media monitoring by enhancing closed-set topic classification in multilingual contexts (where both training and testing occur in several languages) and crosslingual contexts (where training is in English and testing spans all languages). To achieve this goal, we utilized a dataset from the European Media Monitoring webpage, which includes approximately 15,000 article titles across 18 topics in 58 different languages spanning a period of nine months from May 2022 to March 2023. Our research conducted comprehensive comparative analyses of nine approaches, encompassing a spectrum of embedding techniques (word, sentence, and contextual representations) and classifiers (trainable/fine-tunable, memory-based, and generative). Our findings reveal that the LaBSE+FFNN approach achieved the best performance, reaching macro-averaged F1-scores of 0.944 ± 0.015 and 0.946 ± 0.019 in both multilingual and crosslingual scenarios. LaBSE+FFNN’s similar performance in multilingual and crosslingual scenarios eliminates the need for machine translation into English. We also tackled the open-set topic classification problem by training a binary classifier capable of distinguishing between known and new topics with the average loss of ∼0.0017 ± 0.0002. Various feature types were investigated, reaffirming the robustness of LaBSE vectorization. The experiments demonstrate that, depending on the topic, new topics can be identified with accuracies above ∼0.796 and of ∼0.9 on average. Both closed-set and open-set topic classification modules, along with additional mechanisms for clustering new topics to organize and label them, are integrated into our media monitoring system, which is now used by our real client.

Countering Calcium Blooming With Personalized Contrast Media Injection Protocols: The 1-2-3 Rule for Photon-Counting Detector CCTA.

Photon-counting detector computed tomography (PCD-CT) enables spectral data acquisition of CT angiographies allowing for reconstruction of virtual monoenergetic images (VMIs) in routine practice. Specifically, it has potential to reduce the blooming artifacts associated with densely calcified plaques. However, calcium blooming and iodine attenuation are inversely affected by energy level (keV) of the VMIs, creating a challenge for contrast media (CM) injection protocol optimization. A pragmatic and simple rule for calcium-dependent CM injection protocols is investigated and proposed for VMI-based coronary CT angiography with PCD-CT. A physiological circulation phantom with coronary vessels including calcified lesions (maximum CT value >700 HU) with a 50% diameter stenosis was injected into at iodine delivery rates (IDRs) of 0.3, 0.5, 0.7, 1.0, 1.5, 2.0, 2.5, and 3.0 g I/s. Images were acquired using a first-generation dual-source PCD-CT and reconstructed at various VMI levels (between 45 and 190 keV). Iodine attenuation in the coronaries was measured at each IDR for each keV, and blooming artifacts from the calcified lesions were assessed including stenosis grading error (as % overestimation vs true lumen). The IDR to achieve 300 HU at each VMI level was then calculated and compared with stenosis grading accuracy to establish a general rule for CM injection protocols. Plaque blooming artifacts and intraluminal iodine attenuation decreased with increasing keV. Fixed windowing (representing absolute worst case) resulted in stenosis overestimation from 77% ± 4% at 45 keV to 5% ± 2% at 190 keV, whereas optimized windowing resulted in overestimation from 29% ± 3% at 45 keV to 4% ± 1% at 190 keV. The required IDR to achieve 300 HU showed a strong linear correlation to VMI energy ( R2 = 0.98). Comparison of this linear plot versus stenosis grading error and blooming artifact demonstrated that multipliers of 1, 2, and 3 times the reference IDR for theoretical clinical regimes of no, moderate, and severe calcification density, respectively, can be proposed as a general rule. This study provides a proof-of-concept in an anthropomorphic phantom for a simple pragmatic adaptation of CM injection protocols in coronary CT angiography with PCD-CT. The 1-2-3 rule demonstrates the potential for reducing the effects of calcium blooming artifacts on overall image quality.

"Swipe & slice": decoding digital struggles with non-suicidal self-injuries among youngsters.

Nonsuicidal-self-injury (NSSI)-related content recently emerged on social networking sites (SNS), despite its relationship with NSSI conducts is still unclear. Hence, the current population-based cross-sectional study investigated the interplay between SNS use, NSSI content engagement, risky social media challenges (RSMCs), in a sample of 404 young adults (aged 18-24), focusing on the influence of problematic social media use (PSMU) and fear of missing out (FoMO). Around 51.5% of the samplewas engaged inNSSI-related contents on SNS, being mostly females (p<0.001), younger (p=0.005), transgender people and nonbinary people (p=0.030) and those who displayed higher PSMU (p<0.001) or FoMO (p=0.031). Around 66.2% of the sample currently practice NSSIs, predominantly among females (p<0.001), those using BeReal (p=0.012), actively looking for NSSIrelated contents on SNS (p<0.001) to be part of a group (p=0.0025) or learn how to practice NSSI (p=0.025). PSMU (p<0.001) and FoMO (p<0.001) emerged as significant predictors of NSSI content engagement, particularly among active seekers. NSSI conducts were significantly predicted by FoMO (p<0.001) and Snapchat (p=0.044), while negatively predicted by male sex (p<0.001), higher educational level (p=0.019) and age at which NSSI-related contents were firstly looked for (p=0.028). These findings underline the need to implement preventivepolicies and targeted interventions to monitor NSSI-related contents on SNS, the impact of PSMU and FoMO on NSSI, particularly among youngsters.

Magnetic Field Enhanced Cobalt Iridium Alloy Catalyst for Acidic Oxygen Evolution Reaction.

Magnetic field mediated magnetic catalysts provide a powerful pathway for accelerating their sluggish kinetics toward the oxygen evolution reaction (OER) but remain great challenges in acidic media. The key obstacle comes from the production of an ordered magnetic domain catalyst in the harsh acidic OER. In this work, we form an induced local magnetic moment in the metallic Ir catalyst via the significant 3d-5d hybridization by introducing cobalt dopants. Interestingly, CoIr nanoclusters (NCs) exhibit an excellent magnetic field enhanced acidic OER activity, with the lowest overpotential of 220 mV at 10 mA cm-2 and s long-term stability of 120 h under a constant magnetic field (vs 260 mV/20 h without a magnetic field). The turnover frequency reaches 7.4 s-1 at 1.5 V (vs RHE), which is 3.0 times higher than that without magnetization. Density functional theory results show that CoIr NCs have a pronounced spin polarization intensity, which is preferable for OER enhancement.

AI Simulated Media Detection for Social Media

This paper discusses the use of artificial intelligence (AI) for detecting AI-simulated media on social media platforms. AI-generated content, like deepfake videos and synthetic images, poses a significant challenge to content moderation. The paper highlights the methods and technologies such as machine learning and deep learning models involved in identifying such content, emphasizing the importance of dataset quality. The paper offers a holistic view of the multifaceted approach required to address the challenge of AI-simulated media on social media platforms.

Understanding youth participation in social media challenges: A scoping review of definitions, typologies, and theoretical perspectives

Social media challenges (SMCs) have become more diverse and seemingly more extreme, with certain dangerous challenges causing immediate harm to participants and capturing the attention of media outlets and academics. Children and adolescents are the most at-risk groups, often engaging in these challenges without fully understanding the consequences. Nevertheless, most existing research and reporting on SMCs are driven by specific cases or phenomena. Thus, we conducted a scoping literature review of 66 studies that capture the breadth of the research field.Our review provides several critical insights. First, we identify a pronounced absence of theoretical grounding in the current literature, which we attribute to a focus on single-case and exploratory studies that often lack prior theoretical reasoning. This results in scattered and inconsistent descriptions of SMCs. This underscores the urgency of establishing a unified definition and a robust conceptual framework to explain the varied nature of SMCs. Second, the existing research predominantly fixates on the negative aspects of SMCs, narrowing the scope of analysis and overlooking the diverse intents and potential positive outcomes of engaging with SMCs, especially for young individuals.We propose a consolidated conceptualization of SMCs, providing a unified definition that captures their multifaceted nature. We introduce a typology to evaluate various SMCs, their underlying intents, and potential consequences, underscoring the necessity of considering a spectrum of SMCs—spanning positive, neutral, and negative—to fully comprehend the potential benefits and risks associated with participation. Our work aims to lay a theoretical groundwork for future research and practical interventions.

O contributo dos estudos discursivos na construção de mensagens publicitárias nos meios digitais: análise da comunicação de uma marca de água de mesa

Advertising has found opportunities and challenges in the new digital media. In these ways of communicating, we recognize complexity, variety, increased immediacy, and new dialogisms. Institutions and brands became aware of the impact of these new media and the need for more efficient communication. Discourse studies are an instrument for analysing promotional messages in traditional and digital media, but also contribute to institutions and brands using these media in efficient and ethically responsible ways. Three approaches are revisited to assess its spectrum of analysis: looking at communication as (1) social interaction, revealing power relations, cultural processes, and discursive practices (critical discourse analysis); (2) understanding the rhetorical architecture of the textual fabric, which enables an argumentative, persuasive, and effective discourse (rhetoric and argumentation); (3) examine the contribution of pragmatic linguistics to the understanding of language in the interaction created in new media (principles of conversation and implicature).

The role of social media in Crisis Communication - challenges of professional media

The role of social media in Crisis Communication - challenges of professional media

The Forensic Mental Health Implications of Social Media Challenges.

Children and adults are increasingly spending time on social networking sites where they may be exposed to social media challenges. These challenges, which are essentially dares or competitions, often involve participants recording themselves performing various activities to create a short video which they then share online. Many social media challenges may be considered relatively benign, but others may involve behaviors or tasks that lead to adverse outcomes, including injury and death. In this article, the authors describe different types of social media challenges, susceptibility to risk-taking among social media users, and the potential criminal and civil legal aspects of these challenges. This article focuses on the forensic mental health implications of social media challenges, including considerations for forensic psychiatrists and other mental health professionals who may become involved in court cases related to these challenges.

Dear Prime Minister, Mr Musk and Mr Zuckerberg!: The challenge of social media and platformed racism in the English premier league and football league

This paper draws on original research from a larger study of racism and Islamophobia online around football, particularly a set of interviews with staff at English football clubs whose responsibility is to manage social media. We use that information alongside our reflections on “platformed racism” to appraise how expressions of racism on social media differ from those in and around the grounds, and how clubs and others in football contest them. This involves a consideration of three themes commonly identified by those speaking on behalf of the clubs: The triggers that ignite racist posts; the partnerships necessary to counter them; and their proposed solutions. Hence this is not just a cue for a collective wringing of hands, but an effort to point the way forward.

Radar Banten's Strategy in Facing the Era of Media Digitalization

Newspaper readers continue to decline and slowly shift to using digital media platforms to obtain information. This happens along with the development of information technology where many online media, social media and so on have emerged. The task and challenge of the print media is to expand its presence into the realm of new media, while continuing to guard the accuracy, credibility and trust that have been the hallmarks of mainstream media. The proliferation of the internet, which is increasingly accessible, has made the media convergence movement grow in particular. Media convergence also occurs in Radar Banten as one of the media that exists in the national arena. This research aims to find out the strategy of Radar Banten Daily to transform itself towards media convergence. The study, which is a qualitative research adopting a constructive paradigm, collected data through interviews and literature review. This research investigates the application of media convergence concept by Radar Banten in facing modern media transformation. Three convergence models, namely newsroom convergence, news gathering convergence, and content convergence, are analyzed as an effort to unify media operations through a holistic approach. The result of the research shows that the 3M strategy (multimedia, multichannel, multiplatform) allows Radar Banten to increase its content coverage, create inter-platform synergy, and strengthen their position in the midst of technological development. The editorial work pattern underwent significant changes, with projection meetings conducted online and deadline adjustments to support online and social media. Overall, this research concludes that Radar Banten is progressively adapting and innovating to stay relevant amidst mass media changes. The continuity of this effort is the key to their success in facing the dynamics of modern media.

Impact of social media “challenges” on poison center case volume for intentional ingestions among school-aged children: an observational study

Introduction Mental health problems among youth have escalated over the past decade, with increased rates of self-harm, including suicide attempts by ingestion. Social media use has been linked to youth mental health, including “challenges” urging youth to ingest substances for recreational and other purposes. We hypothesized that social media challenges for particular substances would temporally correspond with increased ingestions of these substances. Methods We identified peak Google Trends search times for social media ingestion challenges involving diphenhydramine, laundry pods, nutmeg, and cinnamon, and used data from America’s Poison Centers National Poison Data System to plot reported ingestions 3 months before and after peak searches in school-aged children. Results There were 2,169 individuals in the analysis. Diphenhydramine was the most frequently reported ingestion for misuse/abuse and suicidal purposes (n = 266 and 1,609, respectively). For all ingestions together, 45 percent (n = 979) had a moderate health effect, and 6.35 percent (n = 137) had a major health effect. Time of peak searches corresponded with increased ingestions for each substance. Discussion We found a temporal relationship between peak Google Trends searches for ingestion challenges and ingestions of that substance reported to United States poison centers. Compared to misuse/abuse ingestions, most suicidal ingestions peaked 1–2 months later, suggesting a public health opportunity for intervention. Limitations This retrospective observational study does not establish causal effect. All data are a result of self-reporting of the exposures, which may lead to a reporting bias. Google Trends is not the only search engine and likely underestimates the true incidence of social media posts. Conclusions Additional research is needed on the relationship between social media and youth mental health, particularly around “challenges” that place youths’ health at risk. There may be opportunities for intervention to decrease medical and mental health sequelae of these challenges.

42 Challenges for agricultural social media influencers engagement with young, non-ag adults

Abstract Segments of society question the welfare of animals in production, whether types of product consumption have a negative impact on personal health, and environmental sustainability of producing livestock. As most Americans are three or more generations removed from production agriculture (American Farm Bureau, 2020), they have minimal incentive to question unsubstantiated information purported by anti-animal agriculture groups. Ag communication strategies often seem to fall short compared with anti-agricultural messages shared throughout the media infosphere. Prominent forms of digital / social media (SM) platforms have infiltrated daily lives of society. With the significance of engagement factors such as likes, comments, shares, and saves on such platforms in mind, our research sought to assess the willingness of SM users to interact with content on Instagram created by agricultural social media influencers (SMIs). Participants (n = 855; ages 18-30 from the U.S. and a non-ag background) were recruited through Prolific and anonymously completed a Qualtrics survey. Quantitative data were responses to questions about willingness to engage with both general content and agriculture-related content. Participants were shown images and narrative content from well-established agricultural SMIs. Participants were surveyed both before and after being shown example image posts of agricultural SMIs. Data were analyzed utilizing SPSS with independent variables consisting of general content versus agricultural content while dependent variables were comprised of the summation of participant engagement type willingness which was operationalized by numerically converting the five-point Likert scale. Results showed differences (P &amp;lt; 0.05) in willingness to engage with agricultural SMI through likes, comments, shares, and saves than with general content. Results imply that agricultural SMIs will have more limited opportunities to facilitate engagement with young adult Instagram users than those that share generalized content. These outcomes reinforce a communication dilemma around SM engagement that focuses on reaching non-ag audiences with image and evidence-based agricultural content.

Platforms, people and politics: The challenges for public service media in Ireland

This article assesses the viability of RTÉ, Ireland’s main public service media (PSM) organization, as an institution and media organization against the backdrop of the largest challenges affecting PSM today. It questions the extent (1) the presence of global platforms, (2) shifting media use and (3) (continued) government support have affected the programming, structure and legitimacy of the Irish public broadcaster. The analytical framework that serves as the basis for our analysis combines a media policy and political economy approach with cultural-sociological analysis. Using expert interviews and document analysis, we show that many of the challenges of RTÉ are generalizable in a European context and a wider international context. We argue that while the government may not be directly undermining RTÉ, its funding position may become so eroded that it would no longer be able to deliver what one of our interviewees describes as a ‘BBC-sized mission in a small jurisdiction’.

A data‐driven approach to improve online consumer subscriptions by combining data visualization and machine learning methods

AbstractEffective online consumer research helps companies on defining a successful strategy to increase user loyalty and shape brand engagement. Digital innovation introduced a dramatic change in businesses, particularly in the online news industry. Content consumers have a wide offer across different channels which increase the digital challenge for online news media companies to retain their readers and convert them into online subscribers. Furthermore, digital news publishers often strive to balance revenue sources in online business models. Thus, this study fills a gap in the literature on media consumer research by proposing a data‐driven approach that combines two machine learning (ML) models to allow managers dynamically improve their marketing and editorial strategies. Firstly, the authors present an online user profiling to identify consumer segments based on the interplay between several engagement’ variables substantiated in the literature research. Second, as few studies have explored the factors influencing users' intention to pay for such services, the eXtreme Gradient Boosting ML algorithm identifies the predictors of consumer's willingness to pay. Third, a dashboard presents the key performance indicators across the audience funnel. Thus, practical implications and business suggestions are presented in a two‐fold strategy to maximize revenue from digital subscriptions and advertising. Findings provide new insights into an engagement approach and the relation to acquire a digital subscription in online content platforms. We believe that the provided recommendations are potentially useful to help marketing and editorial teams to manage their customer engagement process across the funnel in a more efficient way.