Digital Media Era Research Articles

Democratic literacy: Challenges and opportunities to engage youth participatory in the age of digital media

This study endeavors to ascertain the challenges and opportunities in democracy literacy to foster active youth engagement in the digital media age. Through the implementation of Focus Group Discussions and participatory workshops involving a cohort of 17 participants, comprising eight student journalists and nine non-student journalists, who are poised to exercise their voting rights for the first time during the forthcoming 2024 elections, the research outcomes divulge that disparities exist in the democratic perspectives of student and non-student journalists, primarily due to their contrasting experiences. Nevertheless, both groups concur that a solid understanding of democratic principles empowers them to partake in the democratic process. In the digital media era context, four notable challenges emerge in democratic literacy: hoax oasis, politician stigmatization, idiot discussion engagement, and political apathy engagement. Conversely, two prospective avenues for bolstering democratic literacy are identified: information oasis and reigniting youth participation. These identified challenges and opportunities serve as fundamental pillars for formulating effective democratic literacy strategies in the digital era, thereby fostering increased participation of young voters in democratic practices.

Exploling the Scientific Model for Constructing a Platform for the International Communication of PingJiang Opera

Purpose: Considerable changes have occurred in many areas of science and technology as a result of the current information technologies' quick development and use. Specifically, new theories in mathematics have surfaced; they may be used to construct and refine current mathematical models of different processes and objects. Method: Regulatory and permitting decision-makers are worried about the ambiguity surrounding the possible environmental consequences arising from the introduction of these innovative devices in coastal and riverine ecosystems as research and testing of maritime energy devices progress. The Triton Initiative conducts studies and makes suggestions for environmental monitoring techniques and technology to give industry stakeholders with the information required to approve maritime energy system testing. Results: The efficient distribution of research findings is crucial in enhancing data accessibility for stakeholders who might use the information to make informed policy choices. Nevertheless, there are few frameworks available for carrying out scientific communications related to marine energy projects. Using the Triton Initiative's pilot scientific communication program as a case study, we discuss methods, resources, and strategies for creating a science communication framework for marine energy projects or other related fields of research in this article. Conclusion: This article uses the historic Pingjiang Road in Suzhou, China, as a case study to investigate how, in the era of globalization and digital media, urban spaces that have been revitalized for historic and cultural consumption may demonstrate the publicness or potential capacity for publicity.

The Function of Digital Technology in Minority Language Preservation: The Case of the Gyalrong Tibetan Language

Abstract In the digital media era, the preservation of minority languages and cultures faces profound challenges. This article focuses on the Gyalrong Tibetan language (GTL) as a representative case within the broader context of linguistic diversity endangerment. The emergence of digital technology as a supplementary tool to preserve endangered languages provides opportunities and challenges in language conservation. Adopting a qualitative research approach and thematic analysis, collecting data from previous studies, fieldwork, and interviews, this study considers the intersection of digital technology and GTL preservation. It examines 1) the opportunities, 2) the challenges and concerns of integrating digital technology and minority languages and 3) the evolving dynamics of language proficiency influenced by educational systems among younger generations. Moreover, these considerations are placed within the framework of media ecology and language shifts, exploring how communication technologies shape GTL and its cultural context. This research contributes empirical insights to the discourse on minority language revitalisation and offers a strategic view for further research into language preservation in a digitised world.

The impact of health information echo chambers on older adults avoidance behavior: the mediating role of information fatigue and the moderating role of trait mindfulness.

In the digital media era, the prevalence of algorithm-driven content push has intensified the health information echo chambers phenomenon, characterized by excessive homogenization and overload of information. This phenomenon may negatively impact the older adults, a "digitally vulnerable" group, by limiting their access to diverse health information and potentially inducing health information avoidance behaviors. However, the psychological mechanisms within this impact process remain unclear, and this study aims to explore them. Additionally, current study introduces trait mindfulness as a potential intervention tool in reducing health information avoidance behavior among the older adults. This study constructs an impact model based on the Stress-Coping Theory and the Stress-Strain-Outcome (SSO) framework. It identifies health information similarity, relevance, and overload as characteristics of the echo chamber, constituting the Stress part; information fatigue as the Strain; and health information avoidance as the Outcome, with trait mindfulness serving as a moderating factor between Strain and Outcome. A cross-sectional survey of 236 older adults individuals aged 60 and above was conducted, and the collected data were analyzed using SmartPLS and SPSS. The study found that health information similarity and overload significantly increased health information fatigue among the older adults, thereby promoting avoidance behavior, but no significant correlation was found between relevance and fatigue. While there was no significant correlation between trait mindfulness and health information fatigue, it effectively moderated the avoidance behavior induced by fatigue. Current study reveals the impact of the health information echo chamber phenomenon on health information avoidance behavior among the older adults and the moderating role of trait mindfulness. It emphasizes the importance of breaking the health information echo chamber and promoting diverse information dissemination to improve the health information behavior of the older adults. Furthermore, the moderating role of trait mindfulness demonstrates positive intervention potential, providing the older adults with a psychological adjustment mechanism to accept and process health information with a more open attitude, thereby reducing unproductive avoidance behavior.

In the Digital Media Era, the Construction of Online Female Live Streaming Identities and Professional Identity Research

In the Digital Media Era, the Construction of Online Female Live Streaming Identities and Professional Identity Research

Prediction of psychological intervention for college students in digital entertainment media environment based on artificial intelligence and parallel computing algorithms

In the era of digital entertainment media, the rapid dissemination of information and the widespread application of social media have a huge impact on user behavior and psychology. For students, the experience of digital entertainment content may have potential adverse effects on their mental health. The aim of this study is to propose a prediction model of university students’ psychological intervention based on optical network transmission based on parallel computing algorithm, in order to improve the computational efficiency and accuracy of the model. Then, a large number of psychological data of college students are collected, and feature extraction and model training are carried out by using machine learning algorithms. Finally, the predictive model of psychological intervention is simulated by parallel computing algorithm. The experimental results show that the optical network transmission based on parallel computing algorithm has high computational efficiency and accuracy in the prediction model of psychological intervention of college students. The model can reliably predict and evaluate the effect of psychological intervention of college students, provide an effective simulation tool for psychological intervention of college students, and help realize personalized and efficient psychological intervention measures.

Information Operations and Social Media: Case Study of Indian Chronicles and Options for Pakistan

In the era of digital media, states have resorted to social media to pursue several agendas. In this regard, this paper sheds light on the evolving strategies of intelligence, surveillance and Information Operations (IO) conducted through social media sites. The paper examines various strategies of IO mentioned in U.S. military documents encompassing Military Deception (MILDEC), Computer Network Operations (CNO), Operations Security (OPSSEC), and Psychological Operations (PsyOps). The paper specifically evaluated the role of social media in PsyOps and coined the term Social Media PsyOps (SMPsyOps). It analyses how the Indian government employed these tactics to conduct IO against Pakistan unveiled in the Indian Chronicles by EU DisinfoLab. The paper argues that social media has become an open source of intelligence for conducting of IO by India and influencing opinions and perceptions of Pakistan in Western capitals. This has impacted Pakistan and therefore the paper recommends measures for the government of Pakistan on how to counter the growing Indian network of IO.

Information Needs to Influence the Quality of Development Messages and News in the Digital Media Era

The presence of development journalists is needed to criticize, study, evaluate, and report on the relevance of development projects. The press, as the fourth pillar of democracy, has a very crucial role in conveying criticism. The research aims to analyze the influence of society's information needs (X1), politics (X2), and government (X3) on the quality of development messages (Y1) and news (Y2). The research methodology uses a mixed-methods approach with a sequential explanation strategy. The research population covers television news viewers and observers. The research sample consisted of 110 respondents who were viewers and observers of news broadcasts in mainstream media. The research results show: (1) there is a significant influence between the information need variable based on the community perspective (X1) on the quality of development messages (Y1); (2) there is no significant influence between the variable information needs based on the perspective of the business world (X2), politics (X3), and government (X4) on news quality (Y2), but there is an influence of public information needs (X1) on news quality (Y2). Based on information from press representative institutions, there was a decline in quality caused by: (1) complaints of violations from the Indonesian Broadcasting Institution; (2) less attractive news packaging; (4) social media competition; (5) in-depth news analysis; (6) intervention from stakeholders; (7) lack of cross-sectoral support; and (8) the small compensation received by journalists. In conclusion, information needs based on society's perspective do not influence the quality of development messages but do influence the quality of news.

Adversarial Learning for Constrained Image Splicing Detection and Localization

Abstract: In the era of digital media, the manipulation of images has become a significant concern, particularly on social media platforms. Adversarial Learning for Constrained Image Splicing Detection and Localization aims to develop a robust system capable of recognizing and localizing spliced or tampered images. This research proposes a novel approach that leverages Convolutional Neural Networks (CNNs) and adversarial learningtechniques to enhance the detection and localization of image splicing. The system is designed to aid in distinguishing between authentic and manipulated images, thereby promoting transparency and trust in digital media. With the rapid advancement of digital media and image editingtools, the manipulation of visual content has become increasingly prevalent, posing significant challenges to the credibility and trustworthiness of images shared on social media platforms. One pervasive form of image manipulation is image splicing, where portions of two or more images are seamlessly combined to create a composite image, often with the intent to mislead or deceive viewers. Adversarial Learning for Constrained Image Splicing Detection and Localization aims to address this issue by developing a robust system capable of accurately detecting and localizing spliced regions within tampered images. This research proposes a novel approach that synergistically integrates Convolutional Neural Networks (CNNs) and adversarial learning techniques to enhance the performance of image splicing detection and localization. The proposed system employs a two-stage process: first, a CNN-based classifier is trained on a large dataset of authentic and spliced images to learn discriminative features for distinguishing between the two classes; subsequently, an adversarial learning model is employed to generate adversarial examples that can deceive the CNN classifier, while the classifier is iteratively updated to become more robust against these adversarial perturbations. By accurately identifying and localizing spliced regions within images, this research contributes to promoting transparency and trust in digital media shared on social media platforms, ultimately empowering users to make informed decisions about the authenticity of visual content. The proposed system has potential applications in various domains, including journalism, law enforcement, and content moderation, where verifying the integrity of visual evidence is of paramount importance.

디지털 매체로의 전환 안에서 박물관 관람객의 오토커뮤니케이션

The COVID-19 pandemic has caused unprecedented disruption across the globe and brought about a social landscape change called “social distancing” that has rapidly transformed the world into a digital society. In the process of rapid social change, which has been referred to as the ‘New Normal’, meaning a new everyday life, the biggest change has been the change in the form and content of social relationships. In this study, we will examine how the interaction of visitors with the cultural texts on display in museums has changed in response to social change. The museum, a place that was closed and open only to a select group of people in the past, has grown into a platform that can be experienced by everyone who can access it in a digital environment, creating a creative cultural phenomenon in which people, as subjects of an individual environment, perform autocommunication through relationships with others, reflecting their own identity and creating new ones. To confirm and summarize this, we will focus on the theory of “cultural interaction” by Russian semiotician Yuri M. Lotman. As a result of the research, we will derive the meaning of museum visits from the perspective of cultural interaction. The purpose of this study is to explore the process of how the form of viewing that leads to “autocommunication” centered on the relationship between collections and visitors within the exhibition text can be newly created as a cultural memory as museums of the past and present move into the era of digital media.

유튜브 댓글 분석을 통한 클래식 음악 시청자 반응 연구

This study analyzed Korean-language comments on YouTube videos of pianist Lim Yunchan’s performance of Rachmaninoff’s Piano Concerto No. 3 during the 2022 Van Cliburn International Piano Competition finals, exploring domestic viewers’ reactions and emotional perceptions of classical music. The research methodology involved selecting only Korean comments collected via the YouTube Data API from June 20, 2022, to December 1, 2023, refining the data, and conducting keyword frequency analysis, LDA Topic Modeling, and sentiment analysis using R. The analysis indicated that viewers expressed deep emotional resonance and admiration for the artistic excellence of Lim’s performance through the identified keywords. The LDA Topic Modeling yielded three themes: ‘the Van Cliburn Competition’, ‘viewer responses’, and ‘the bright future of K-Classic’. Although the sentiment analysis showed some limitations, predominantly positive responses were observed. This study provides substantive data on how viewing classical music performances on YouTube can elicit emotional resonance and admiration for artistic excellence in viewers. Additionally, it confirmed that YouTube plays a crucial role in enhancing the accessibility of classical music and serving as a conduit for appreciation and communication. This research contributes to understanding the current landscape of Korea’s classical music consumption and offers insights into the consumption patterns of classical music in the digital media era.

Research on Marketing Strategy -- Taking the Usmile as an Example

This paper mainly studies the development and rise of the usmile and its marketing strategy under the era of digital media marketing and oral health concerns across the country. The main research topic is what kind of data, market background investigation and trend are used by the usmile to innovate marketing strategies, and whether these marketing strategies have an actual impact on the market and the scope of impact. At the same time, research the brand background and brand vision to know the basic core of the brand marketing. In the whole research process, the 4P theory is applied to study the marketing strategy of the usmile by analyzing the four major directions of the usmile brand, including product, price, promotion and place. At the same time, the marketing strategy of the usmile is studied by investigating market data and comparing charts and data of the same products and brands.By studying the marketing strategies of the usmile, this paper can gradually get to know the full range of digital media marketing strategies, master and accumulate same marketing methods to give targeted suggestions to the usmile and understand the fundamental role of basic marketing for other brands of the same brand or even different brands.

A Hybrid CNN-LSTM Approach for Precision Deepfake Image Detection Based on Transfer Learning

The detection of deepfake images and videos is a critical concern in social communication due to the widespread utilization of deepfake techniques. The prevalence of these methods poses risks to trust and authenticity across various domains, emphasizing the importance of identifying fake faces for security and preventing socio-political issues. In the digital media era, deep learning outperforms traditional image processing methods in deepfake detection, underscoring its significance. This research introduces an innovative approach for detecting deepfake images by employing transfer learning in a hybrid architecture that combines convolutional neural networks (CNNs) and long short-term memory (LSTM). The hybrid CNN-LSTM model exhibits promise in combating deep fakes by merging the spatial awareness of CNNs with the temporal context understanding of LSTMs. Demonstrating effective performance on open-source datasets like “DFDC” and “Ciplab”, the proposed method achieves an impressive precision of 98.21%, indicating its capability to accurately identify deepfake images with a limited false-positive rate. The model’s error rate is 0.26%, emphasizing the challenges and intricacies inherent in deepfake detection tasks. These findings underscore the potential of hybrid deep learning techniques for addressing the urgent issue of deepfake image detection.

Hidden in plain sight- Audience engagement in China’s data journalism

This article delves into the strategies of different Chinese news organizations’ (e.g., state-owned media, we-media, private news organizations) engagement with audiences in data journalism, aiming to attain dual legitimacy (identity legitimacy and institutional legitimacy) within the unique landscape of the digital media era in China. Utilizing the lens of organizational legitimacy, qualitative interviews were conducted with 26 Chinese data news practitioners. The findings reveal that news entities have adopted “restrictive involvement” and “substitutive involvement” strategies to limit audience engagement to superficial interactions within the consumption process of data journalism. Identity legitimacy has traditionally served as the primary incentive for news organizations to engage audiences, while institutional legitimacy has constrained the forms and degrees of audience engagement. The study posits that audience deployment by news organizations is more of a rhetorical maneuver than a practical engagement, symbolically involving audiences in China’s data news production. This research contributes an institutional perspective to the understanding of data journalism and audience engagement dynamics, shedding light on the intricate interactions between news entities, audiences, technology and the state within China’s context.

Tantangan Etika dalam Jurnalisme Digital: Studi Kasus Peran Media Sosial dalam Penyebaran Berita

This research aims to describe the ethical challenges of digital journalism, regarding the role of social media in news dissemination. This research is a qualitative descriptive study. The research results show that the ethical challenges of digital journalism can be seen from the development of media for reporting, starting from print media, mass media, and the current era of digital media where everyone can easily access information (reporting) from various social media today. The ethics of digital journalism can be seen from the non objective reporting that online journalism conveys news instantly and superficially. In fact, this challenge is the news that is conveyed now, it is difficult to know the facts of the news that is uploaded on various social media. One of them is fake news (hoax) which occurs due to a lack of reporting accuracy and journalists' instantaneousness in conveying news/information. The issue of accuracy is now a dilemma for online media which is pursuing speed in publishing information in real time, demanding it be fast but at the same time demanding it be accurate. These many demands often give rise to new problems. Not a few online media take shortcuts, namely by prioritizing speed over accuracy. The practice of self-plagiarism is widespread by repeating sentences in previous reports to recycle them as if they were new news. In certain cases, real-time online media began to emerge which reported quickly on an event, even though he and his team never went to the field to collect the news. Then create news titles or information that are clickbait (excessive titles or titles that sometimes do not match the existing news). These are the challenges faced by journalists in the advancement of technology and social media, sometimes resulting in news producers or readers consuming practical news that lacks accuracy.

Public Relations Communication Strategies in Building Consumer Branding: Analysis of Unilever Company


 
 
 
 This article examines the Public Relations (PR) communication strategies employed by Unilever in building and maintaining a strong consumer branding. The study aims to understand how Unilever integrates PR communication strategies and adapts to the digital and social media era to create positive relationships with consumers. The research follows a qualitative approach, utilizing data collection techniques such as market research and consumer trend analysis and utilized a systematic Literature Review (SLR) method. The analysis reveals that Unilever emphasizes transparency, honesty, and consistency in their brand messages and values. They actively engage with consumers through social and environmental initiatives, creating a responsible and caring brand image. The results demonstrate that Unilever's PR strategies have successfully built a strong consumer branding and generated sustainable customer loyalty. The findings have implications for companies seeking to establish a positive and sustainable brand image in a competitive global market.
 
 
 

The cost of "snubbing": the effect of parental phubbing on filial piety behavior in children and adolescents.

Although numerous studies have used Chinese samples to examine the consequences of parental phubbing, these studies focused on children's mental health and peer interaction. No research to date has directly explored the association between parental phubbing and child-parent interaction. Since parental phubbing is a way how parents interact with their children (parent-child), it might be associated with the way how children interact with their parents (child-parent), such as filial piety behavior, which prescribes how children behave toward their parents and remains one of the goals of parents in educating their children in modern Chinese society. Based on social exchange theory and social gender theory, this study investigated the impact of parental phubbing on filial piety behavior and tested its mediation of perceived parental rejection, its moderation of gender among children and adolescents. This study was conducted using a questionnaire method. A total of 753 students from Grade 4 to 9 (Mage = 12.28 years, SD = 1.81 years) was surveyed using the Parental Phubbing Scale, Perceived Parental Rejection Questionnaire, and the revised Dual Filial Piety Scale. First, parental phubbing was negatively correlated with reciprocal filial piety (RFP) behavior, but not correlated with authoritarian filial piety (AFP) behavior. Second, perceived parental rejection played a mediating role between parental phubbing and RFP behavior. Third, this direct effect was moderated by gender, in that it was stronger for boys than for girls. These findings suggest that there are intergenerational costs of phubbing, such as reducing children and adolescents' RFP behavior. The present study is the first to combine parent-child interaction in the digital media era (parental phubbing) with traditional Chinese child-parent interaction (RFP behavior), which expands the research topic on the influence of parental phubbing on children and adolescents' psychological development.

Understanding Music in the Digital Media Era

Understanding Music in the Digital Media Era

Exploring the Marketing Communication Strategy of Li Ziqi's Self-media Brand Based on SWOT

The arrival of the digital media era has led to the development of the new media industry, which promotes the innovation of business models. More and more consumers are more accustomed to using media platforms. Li Ziqi's unique style of ancient Chinese cuisine and the unique natural environment of the countryside not only relax and satisfy the viewers mentally but also provide a lot of inspiration for other self-media and media companies. This thesis took the Li Ziqi network platform account as an example, and explores the development situation and problems faced by Li Ziqi in brand marketing on the basis of SWOT analysis, and conducts in-depth analyses of these problems, and gives some marketing strategies with practical value. video content, low frequency of interaction with viewers, lack of data analysis, lack of clear and definite operation planning, and misalignment between video communication channels and brand communication channels. This paper put forward suggestions in terms of enriching the form of content for brand communication, improving the efficiency of traffic conversion, enhancing brand influence, setting up a brand image communication team to improve the live broadcasting ability, and broadening the way to build a lasting brand, etc., so as to fully explore the maximum cultural communication potential and brand marketing influence of "Li Ziqi's" food videos in a theoretical manner.

Media opinion divergence and stock returns: Evidence from China

We construct a proxy for media opinion divergence using Latent Dirichlet Allocation. With this proxy, we investigate the impact of media opinion divergence on Chinese stocks. Findings indicate that higher media opinion divergence results in higher stock returns, but leads to lower future stock returns, consistent with Miller (1987). Additionally, we similarly explore the impact of divergence between traditional media and new media on stock returns, obtaining similar results. Findings are robust to controlling for firm characteristics and the number of news articles. Our study provides valuable insights into how the media can influence investor opinions and in turn the stock market in the digital media era.