Digital Media Environment Research Articles

Research on Digital Media Algorithm Recommendation based on Support Vector Machine

Within digital media, the effectiveness of content material advice systems is pivotal for boosting user engagement and satisfaction. This study’s article delves into the development and implementation of a singular set of rules recommendation gadgets based totally on the principles of support Vector device (SVM), a distinguished machine learning approach. The objective is to address the demanding situations faced by using traditional recommendation structures, such as media content problems, by leveraging the type and regression talents of SVM. The methodology encompasses the usage of a large dataset of person interactions and alternatives extracted from diverse virtual media systems. This statistic is then processed via an SVM version and relationships among user behaviors and content material characteristics. The particular issue of this technique lies in its adaptability and precision in dealing with excessive-dimensional facts, which is ordinary in digital media environments. The SVM model is high-quality-tuned to optimize content recommendation via not most effective matching consumer choices but additionally introducing a degree of content material variety to combat echo chambers. This research evaluates the performance of the SVMbased recommendation system towards traditional algorithms via a sequence of metrics inclusive of accuracy, range, and consumer engagement charges. This assessment gives insights into the efficacy of SVM in delivering extra applicable and various content to users, thereby enhancing their digital media experience.

Ideological self-selection in online news exposure: Evidence from Europe and the US.

Today's high-choice digital media environments allow citizens to completely refrain from online news exposure and, if they do use news, to select sources that align with their ideological preferences. Yet due to measurement problems and cross-country differences, recent research has been inconclusive regarding the prevalence of ideological self-selection into like-minded online news. We introduce a multi-method design combining the web-browsing histories and survey responses of more than 7000 participants from six major democracies with supervised text classification to separate political from nonpolitical news exposure. We find that political online news exposure is both substantially less prevalent and subject to stronger ideological self-selection than nonpolitical online news exposure, especially in the United States. By highlighting the peculiar role of political news content, the results improve the understanding of online news exposure and the role of digital media in democracy.

Rapid response and uncertain agendas: Senators' response to Dobbs

AbstractWe examine policymakers' nuanced strategies of digital agenda setting during times of lawmaker uncertainty versus anticipated policy communication. Whereas existing agenda‐setting studies tend to focus on how policymakers allocate attention to preferred policies, we explain how policymakers react to an issue in a digital media climate where the expectation is engagement. We explore the dynamics of digital agenda setting with U.S. senators' Twitter activity in response to the unexpected document leak overturning Roe v. Wade and the anticipated, subsequent Supreme Court decision. Policymakers across the political spectrum quickly reacted to both events, capturing shared policy attention, yet did so with variable response times and differing frames for the issue. We argue that when the agenda rapidly contracts and issues become salient on Twitter, the uncertainty, time, and tenor of lawmakers' response tell us about their policy‐making priorities. Punctuated attention cycles churn fast in a digital climate, but even amid these quick, attention‐grabbing news cycles, the nuance of those moments and policy uncertainty suggest that rhetorical agendas differ when galvanizing events are anticipated. How policymakers convey their agenda when the media environment incentivizes lawmakers to respond regardless of issue prioritization is fundamental to understanding policy attention by lawmakers operating a digital media environment.

AI-based automatic identification and processing techniques for agricultural safety information

In the context of globalization, agricultural safety is directly linked to food security and human health. Modern agriculture’s challenge is effectively monitoring and processing vast agricultural safety information in the digital era. This study aims to achieve the automatic identification and intelligent processing of agricultural safety information within a digital media environment by applying artificial intelligence (AI) technologies. Initially, the background of AI applications in agriculture is explored, followed by an analysis of the urgent need for automated processing of agricultural safety information and an overview of current research in this field. It is demonstrated that, despite progress, existing methods still lack in-depth feature extraction and real-time capabilities of the data processing systems. A method based on multi-level feature fusion for identifying agricultural product safety is proposed to address these limitations alongside a decentralized AI Internet of Things (IoT) system for processing agricultural safety information. The multi-level feature fusion method can extract and integrate essential details on agricultural products from different dimensions and levels, thus enhancing the identification accuracy. Meanwhile, the decentralized AIoT system strengthens the efficiency and reliability of data processing, ensuring timely responses to agricultural safety information. Through deep neural networks, efficient recognition and classification of agricultural product images were achieved, enabling the automatic identification of agricultural safety information in a digital media environment. Utilizing deep learning algorithms, the system could learn and understand the characteristics of different agricultural products and accurately identify potential safety issues, such as pests, diseases, or spoilage, providing timely monitoring and management for agricultural production. The innovation of this research lies in the comprehensive utilization of multi-level data features and advanced Internet of Things (IoT) technology, significantly improving the level of intelligence in agricultural safety supervision.

Cultural Communication in the Digital Media Environment

Cultural Communication in the Digital Media Environment

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.

Digital media environment in wartime. Russian invasion coverage in Ukrainian professional and amateur news media

RESEARCH OBJECTIVE: The aim of this paper is to compare professional and amateur news media (Telegram) coverage of the Russian invasion of Ukraine and to determine the quality of this coverage. THE RESEARCH PROBLEM AND METHODS: The popularity of Tele­gram has been growing since Russia’s full-scale invasion of Ukraine. To describe the digital media environment in wartime, it is important to observe the activity of both professional and amateur media. Webpages containing news texts were exported with Python programs, and news sources were processed using regular expressions. THE PROCESS OF ARGUMENTATION: At the beginning of the digital platform era there were hopes of a symbiotic relationship between professional media and amateur digital platforms, where the latter would provide more diverse content, thus helping some ignored groups to be heard by the media. As for Telegram, it has a growing number of users and channels, but there are almost no restrictions regarding content. Thus, together with some “alternative” and “ignored” voices, production of harmful content on Telegram is observed around the world: hate speech, extremism, racism, conspiracy theories and propaganda. In Ukraine, Telegram is the most popular source of information during the full-scale Russian invasion and Ukrainians trust it, therefore its contribution to informing people should be analysed. RESEARCH RESULTS: The conducted analysis has demonstrated that popular amateur news media mostly fail to provide clear references to news sources in the war period (in March to October 2022, only every third to fifth post contained a clear reference to a news source). On the other hand, the most popular mass media and amateur mass media sources are mostly the same: media resources connected with the president and the government, verified military sources, etc. CONCLUSIONS, INNOVATIONS AND RECOMMENDATIONS: The scarcity of news sources given in Telegram posts confirms previous observations about the low quality of content on Telegram. However, in some cases Telegram channels use reliable official or professional media news sources. Thus, some additional steps are needed to improve the situation: legislative changes for Telegram channels, ownership transparency, further monitoring of content quality, and media literacy campaigns for channels’ audiences.

Selecting, avoiding, disconnecting: a focus group study of people’s strategies for dealing with information abundance in the contexts of news, entertainment, and personal communication

ABSTRACT Information abundance has become a defining characteristic of digital media environments. Today, people have to deal with a vast amount of news, entertainment and personal communication. This study investigates the strategies that people use to do so. Conceptually, we propose to understand information abundance as a macro-level phenomenon, i.e., an external state, which is neither positive nor negative per se. However, it may be experienced differently by individuals depending on what strategies they have to navigate abundance. Information abundance can be observed at the levels of content, sources, and devices as well as across the different media contexts of news, entertainment, or personal communication. Empirically, we conduct focus group discussions with 40 participants from Switzerland and examine what strategies people use to manage or withdraw from information abundance. The findings show that the strategies of selection, avoidance, and disconnection are applied similarly across the three media contexts, both temporarily and habitually, preventively and interventively, and are often used in tandem. Our findings also reveal that all strategies are used at the content, source, and device levels, which is important to consider because avoidance or disconnection from devices can inevitably affect media use more generally. The use of strategies seems to impact how individuals experience abundance, supporting previous research that avoidance and disconnection can mitigate information overload and enhance well-being. The study contributes to a better understanding of the multifaceted application of strategies as individual responses to the increase of information supply and the blurring boundaries between different media contexts.

Fragmented Music Marketing Driven by Digital Media: The Case of TikTok

In the context of the digital era, music marketing has undergone a significant shift towards fragmented strategies, with the rise of the TikTok platform playing a key role. TikTok, as a new type of social media in digital media dissemination, has played a crucial role in music promotion with its short video format. The marketing approach of "music + short video" has thus emerged. Its fragmented content not only quickly attracts widespread attention in the era of digital fragmentation but also has a significant impact on music charts. TikTok's data-driven strategy provides precise audience preference information for customized music marketing. The platform's encouragement of user-generated content and the multi-layered, multi-dimensional integration and interaction between artists and audiences are the core elements of its successful fragmented music marketing. This paper focuses on analyzing fragmented music marketing methods in the digital media environment, using TikTok as the main case study and applying the 4R theory (Relevancy, Reaction, Relationship, and Reward) as the research framework. It emphasizes the transformative role of digital platforms like TikTok in promoting fragmented music marketing. The research includes its algorithms, user interaction models, and marketing strategies. It aims to present the dynamics of music promotion and consumption in the emerging digital environment, showing a trend where the future of music marketing will increasingly rely on flexible strategies adapted to digital trends, and will permeate the continuously developing user interaction and digital media environment in a fragmented form.

Images, clusters and types – Making sense of (large) image corpora and related practices in and with digital media

In November 2021, the Visual Communication Division of the German Communication Association (DGPuK) celebrated its 20th anniversary at the University of Trier with a one-year pandemic delay. Marion G. Müller, Katharina Christ and Christof Barth organized an excellent conference to mark the occasion and to reflect on past and current trends, topics, and challenges in visual communication research. Resuming the thematic scope of the division’s first conference held in Hamburg in 2000, the conference focused on “The power of images – Images of power. On visual political communication in digital contexts.” While analyses of press photography in the tradition of political iconology were the main approaches twenty years ago, the program of the anniversary conference demonstrated diversified thematic foci and methodological approaches. The presentations examined a broad range of visual digital media and visual communication exerted by various actors ranging from the press to politicians to activists and citizens. Concurrently, we also saw a considerable diversity concerning methodological approaches and a rising influence of computational methods for analyzing the increasingly large numbers of images in digital media environments. With the panel “Image type / image cluster analysis as an approach to analyzing large numbers of images in online environments,” a discussion on diverse methodological approaches and their potentials and challenges among our members started. After the conference, we decided to open up our internal discussion and reach out to international colleagues working on similar questions. The long-term result is this Thematic Section on diverse methods for structuring image data corpora drawing on different traditions of visual analysis.

Print Media Role and Its Impact on Public Health: A Narrative Review.

Print media plays a pivotal role in communicating public health information, acting as a vital channel for spreading awareness and encouraging healthy behaviors. This narrative review delves into the historical significance of print media in health communication while evaluating its relevance in today's digital media environment. Despite encountering significant hurdles like digital competition and financial limitations, print media remains indispensable for addressing crucial health issues and disseminating information during public health emergencies. Effectively utilizing print media for health promotion necessitates careful planning, thorough evaluation, and targeted distribution to ensure widespread impact and audience engagement. Employing a comprehensive search strategy, relevant literature was identified through electronic databases and manual searches of reference lists. The gathered literature underwent rigorous screening to align with the review's objectives, with key insights synthesized through iterative analysis. Print media remains a cornerstone of health communication, offering tangible avenues for information dissemination and audience interaction. However, its efficacy is subject to various factors, including technological advancements, evolving media landscapes, and challenges in content dissemination. Overcoming these obstacles requires innovative approaches and collaborative endeavors to harness the full potential of print media in advancing public health objectives.

Emerging Trends in Digital Journalism: A Comprehensive Review

Digital journalism has undergone significant transformations in recent years driven by advancements in technology and shifts in audience preferences. This research paper explores the latest trends shaping the landscape of digital journalism examining their impact on news production, distribution and consumption. Drawing upon an extensive review of literature, case studies, and industry reports, this paper identifies and analyzes key trends such as data journalism, immersive storytelling, mobile journalism, audience engagement strategies, and the rise of AI-driven content creation. Furthermore, it examines the challenges and opportunities presented by these trends for journalists, news organizations, and society as a whole. By understanding and adapting to these evolving trends, journalists can effectively navigate the dynamic digital media environment and continue to deliver high-quality, relevant, and engaging news content.

The Influence of Feeling-of-Knowing on Metacognitive Processes in the Digital Media Environment

Abstract: Research demonstrates that people outsource memory work to digital devices and to the web, which consequently engenders elevated self-assessments, such as enhanced cognitive self-esteem (CSE). Yet, the reasons for this phenomenon are not well-known. In this domain, two studies explored the role of feeling-of-knowing (FoK) – one’s judgment about whether currently nonrecallable information is actually known – on enhanced CSE. Findings show that people believe that their ability to find needed information is better after performing a web search for answers, as a function of elevated FoK that occurs in the process, and that experiencing greater FoK is related to greater perceived memory ability, better anticipated future performance, and easier perceived question difficulty. Evidence of this metacognitive effect is particularly intriguing since it is also highly paradoxical: under precisely the circumstances when people should recognize their cognitive shortcomings, they assess them to be especially strong.

From Stage to Screen: The Digital Mediatization of Ballet

While contributing to mediatization theory by extending the scope of study, this research explores the interrelationship between digital media and ballet. Upon defining ballet as a sociocultural field, it attempts to describe how digital media influences ballet and assess: 1) how and why ballet dancers of varying degrees of involvement use different types of digital media when engaging with their activity; 2) how ballet dancers understand digital media’s influence on the development of ballet; and 3) the attitudes toward such influence that ballet dancers hold. The study first offers an outline of the history of ballet and its longstanding relationship with the media. It then provides a brief overview of mediatization and, considering the complexity of the contemporary digital media environment, isolates the influence of digital mediatization. The results suggest that digital mediatization has significantly influenced the development of ballet, affecting technical, professional, and social institutions and processes.

Critical Inquiry in (and About) Media Environments: Examining an Asset-Based Digital Literacy Curriculum

Scholars have long recognized that reading in digital spaces requires unique skills, strategies, and competencies in comparison to those needed for reading printed text. In recent years, the ubiquity of social media and algorithmically targeted content has radically changed the nature of online reading and meaning making. Technological changes have occurred simultaneously with radically altered sociocultural and sociopolitical contexts. To account for an altered technological and sociocultural landscape, new approaches to teaching digital reading and critical media literacy are needed. Addressing these concerns, this case study detailed a digital reading curriculum designed to be responsive to both the contemporary digital media environment and to students’ out-of-school digital literacy practices and contexts. The curriculum was collaboratively designed by five middle-school language arts teachers who participated in a semester-long professional learning group focused on digital reading. Drawing upon sociocultural, asset-based, and culturally relevant philosophies of education, these five teachers designed a unique digital reading curriculum. This study examined the nature of this curriculum. The findings detailed four aspects of the teachers’ unit: (1) digital reading instruction situated within students’ literate lives; (2) critical instruction regarding systemic features of the internet such as algorithms and clickbait; (3) lessons in which students interrogate socially situated meaning making; and (4) lessons focused on the role of emotions while reading online. The findings have implications for future digital reading and media literacy curricula intended to be responsive to students’ funds of knowledge, ever-changing literacy technologies, and new, emergent ways of reading and practicing literacy on the internet.

영유아 교사의 미디어 영향과 미디어 교육에 대한 인식

Purpose: The purpose of this study was to discover the media influence and perception of media education for infants and toddlers. Research questions for this were set as infant teachers' perception of media and infant teachers' perception of media education.
 Methods: For this study, a preliminary survey was conducted after composing a questionnaire through related prior research and literature analysis. This survey was conducted by wireless sampling infant teachers working in educational fields in Seoul and Gyeonggi Province and distributing data face-to-face and non-face-to-face from September 28, 2022, to October 31, 2022. A total of 290 copies of data were collected, but 268 copies of data were finally selected excluding twenty-two copies of unfaithful responses. For the collected data, frequency analysis, mean, standard deviation, skewness, and kurtosis were calculated according to the research questions using SPSS 29.0.
 Results: When the research results were presented according to the research questions, first, the media was recognized as affecting infants and toddlers. The biggest positive influence was the convenient acquisition of information and knowledge to solve questions in infancy when curiosity was high, and the biggest negative influence was to imitate the wrong actions and words of characters appearing in the media. In addition, among various media, digital media had an enormous influence and print media such as newspapers and magazines were recognized as having little influence. Second, there was a need for media education for infants and toddlers, and the leader of media education was recognized as a teacher. In addition, it was recognized that the most important goal of media education is to cultivate the habit of responsible and safe use of media.
 Conclusion: In conclusion, infant and toddler teachers should be able to use media in terms of education in consideration of its positive and negative influences. In addition, it is required that media education programs for infants and toddlers in development should reflect changes in the digital media environment, and it is necessary to cultivate teachers' capacity for media education through educational training for teachers.

디지털 미디어 이용자들의 대북한 인식 분석을 통한 평화리터러시 구축 방안 모색

The purpose of this study is to explore ways to build Peace Literacy aimed at unification through the MZ generation's perception of North Korea on the TikTok platform. Unification education must change appropriately depending on the ones being educated and the times. The MZ generation, who grew up in a diverse digital media environment, has an increasing tendency to perceive North Korea as another country rather than as a nation, and the contents of video posts and comments also do not properly view and recognize North Korea. While many video posts introduce daily life in North Korea, comments express vague fears about war. The MZ generation is accustomed to using digital media to understand the world and solve social problems. Therefore, in order to educate the MZ generation about building peace on the Korean Peninsula, digital media should be used as an educational tool. For building Peace Literacy using digital media, first, objectivity must be guaranteed. Second, there must be a change in educational tools. Third, we need to think about what to teach. Peace Literacy with these components will enhance the ability to read, understand, and express(write) the international situation surrounding the Korean Peninsula. It is believed that the Peace Literacy program using digital media will be helpful in establishing unification policy and unification education program because it can be expanded not only to public education in schools but also to adolescents and young adults outside of school.

‘Diversity’ as multidisciplinary keyword for the politics of cultural recommender systems in global digital media platforms

‘Diversity’ is a heavily freighted and multivalent keyword in the global digital media environment. The recommender systems used by platforms are particularly acute sites of development and debate around the political, cultural and technical issues ‘diversity’ signifies. Drawing on a review of computer science publications on recommender systems in media and entertainment as well as a survey of recent advances in media and cultural policy scholarship, this short article performs a pragmatic close reading of diversity in these intersecting fields. We note that attention must be paid to the specific challenges and politics of diversity not only in particular cultural fields but also in local cultural contexts, drawing on examples from music and SVOD platforms to flesh out these questions and the practical possibilities that arise from them.

The case for starting with Amusing Ourselves to Death

This article builds a case for starting undergraduate media ecology education with reading Neil Postman’s Amusing Ourselves to Death. Postman’s work puts forward the important and fundamental precepts of media ecology and moves students to think about the connection between medium and content as well as media as environments. The text also illustrates a clear shift in media environments, another building block for understanding media ecology. Most central to the case of starting with this text is that Postman offers a critique of an older media environment, television, which students will find more rhetorically acceptable than criticism of our current digital media environment. Choosing to start with a criticism of an older medium creates space for media ecology pedagogy to thoroughly investigate other media environments.

Digital transformation and economic growth Efficiency improvement in the Digital media era: Digitalization of industry or Digital industrialization?

With the arrival of the era of digital media, the digital economy has burst forth with unprecedented vigor and become an important force in promoting the high-quality development of China's economy. This study focuses on the impact of urban digital transformation on economic growth efficiency in the context of the digital media era. Employing Chinese city-level data from 2011 to 2019, we use double fixed-effects and spatial Durbin models to empirically analyze how digital industrialization and industrial digitization affect urban economic growth efficiency. Our results show that digital industrialization and industrial digitization significantly enhance the efficiency of economic growth of Chinese cities in a digital media environment, and this positive correlation is especially significant in cities with higher levels of digitization. For less digitized cities, digital industrialization contributes more significantly to economic growth efficiency. In addition, we find that digital industrialization and industrial digitization positively affect the economic growth efficiency of neighboring regions through spatial spillover effects. These findings are a valuable reference in this digital era for the formulation of development strategies adapted to cities with different levels of digitization, and these emphasize the key role of regional collaboration and integrated strategies in promoting digital transformation.