Media Content Research Articles

Can media inspire public engagement with astronomy? Assessing information modalities and potential mechanisms for inspiration in a basic science context

Although many science communicators strive to inspire audiences, scant research has sought to understand how media may evoke inspiration. The present study was a three-condition (modality: text-only, audio-only, and audiovisual) between-subjects experiment examining how media content about the James Webb Space Telescope (JWST) motivated participants’ feeling moved, awe, curiosity, rumination, and their inspiration state. The findings revealed no statistical difference between using text or audio content, but that audiovisual content can hinder rumination if self-transcendent emotions are not induced. Findings revealed that content leading participants to feeling moved and experiencing awe should lead to reflective thought, and ultimately, feelings of inspiration.

The development of media quality in the Digital Age

AbstractThe Digital Age has revolutionized the media landscape, reshaping how consumers access and interact with content. Consumers now have access to a wide range of media content, from physical copies to digital downloads and streaming. This has led to content creators detaching from traditional publishing and self-publishing their content on platforms like Wattpad, SoundCloud, and YouTube. The Digital Age has also added more remedies to signal quality to consumers, such as online reviews and personalized recommendations. This paper aims to analyze the impact of the Digital Age on the quality of media content in three different media fields (books, music, and films and series) by conducting an online survey among 245 German-speaking internet users in May 2022. Findings reveal a significant increase in access to content creators and content availability for consumers in the Digital Age. Moreover, the Digital Age introduces mechanisms that assist consumers in evaluating content quality, mitigating the adverse selection problem. The study concludes that media content quality in the Digital Age surpasses that of the Pre-Digital Age. For an enhanced consumer experience in the field of books, media providers should reconsider their algorithms, prioritizing content over purchasing patterns. Caution is advised in reinforcing intellectual property rights, emphasizing the need for judicious application to preserve content creation incentives.

Predictive Modelling for Sensitive Social Media Contents Using Entropy-FlowSort and Artificial Neural Networks Initialized by Large Language Models

This work offers an integrated methodological framework that integrates the capabilities of large language models (LLMs), rules-based reasoning, multi-criteria sorting, and artificial neural networks (ANN) in developing a predictive model for classifying the intensity of sensitive social media contents. The current literature lacks a holistic consideration of multiple attributes in evaluating social media contents, and the proposed framework intends to bridge such a gap. Three actions constitute the development of the framework. First, LLMs (i.e., GPT4) evaluate the social media contents under a predefined set of attributes, leveraging the power of LLMs in content analytics. Second, rules-based reasoning and multi-criteria sorting (i.e., entropy-FlowSort) determine the categories of social media contents. Lastly, the two previous actions produced a complete dataset that can be used to train a predictive model using ANN to classify sensitive social media contents. With 1100 randomly extracted social media contents and the predefined categories of violations against community standards set by Facebook, the proposed integrated methodology produces an ANN-based classification model with 86.36% prediction accuracy. Comparative analysis using Decision Trees, k-nearest neighbors, Linear Discriminant Analysis, Random Forest, and Naive Bayes classification yields the highest performance of ANN. The predictive model can be used as a decision-support tool to design moderation actions on social media contents.

Analysis Of Political Communication Ahead Of The 2024 Presidential Election Case Studies On Political Campaigns, Political Propaganda, Public Opinion, Marketing, Political Advertising, And Political Negotiation

The 2024 presidential election is an important moment in the political life of a country. This study aims to analyze the role of various aspects of political communsication in the presidential election, including political campaigns, political propaganda, public opinion, political marketing and advertising, and political negotiations. The research methodology uses a holistic approach with quantitative and qualitative data collection through online surveys, interviews, and media content analysis. Key findings highlight the significance of social media in shaping public opinion and the political communication strategies used by candidates. Practical implications of these findings include recommendations for more effective political campaign strategies and the development of more transparent communication policies.

Why young adults consume media content about serial killers: Evidence from Russia

This article explores Russian young adults’s motives for consuming media content related to serial killers. Based on a sociological perspective of consumption, the research integrates concepts such as consumerism and “new hedonism” postulated by Campbell with Giddens’s structuration theory and Goffman’s stigma theory. We argue that consumerists’ motivations and images of serial killers are products of modernity. A total of 26 semi-structured online interviews were conducted with young adults aged 18–35 years from 14 cities in Russia. We then performed a thematic qualitative analysis using the AtlasTI software. Our findings show that consumers of media content about serial killers have two main categories of motives: cognitive and emotional. Cognitive motives could be viewed through the lens of the need for ontological security, an attempt to study a potential threat. Emotional motives were associated with satisfying the consumerist need for constant emotional stimulation and pleasure. Future studies may focus on classifying audiences based on their motives for consuming serial-killer media content and examining correlations with consumption practices as well as the supply-side motives of producing this type of content.

Participatory Community Learning to Develop a Digital Market Management System for Community Enterprises and Stable Occupation Groups Nam Phrik Kaeng Krua Khanong, Song Khanong Subdistrict, Sam Phran District, Nakhon Pathom Province

Background and Aim: Digital Marketing Management is critical for successfully promoting products and services in the digital age. It allows businesses to reach a larger audience, interact with customers in real-time, and tailor strategies based on data insights to boost growth and brand awareness. This study investigates the digital marketing practices of the Song Khanong Occupation Group in Prik Kaeng Krua Khanong, Nakhon Pathom Province, aiming to enhance customer engagement, brand awareness, and sales outcomes by focusing on Generation Z and Baby Boomers. Materials and Methods: A mixed-methods approach was utilized, combining surveys of 200 community members on digital media usage, content preferences, brand perception, and customer satisfaction, along with interviews with key stakeholders about marketing strategies. Data analysis involved calculating mean scores to assess satisfaction with digital marketing elements. Results: Results showed high satisfaction among Generation Z, with Facebook as the preferred platform (mean score: 4.86). Infographics and videos received the highest scores (4.93 and 4.80, respectively), while Baby Boomers valued brand aesthetics (overall score: 4.77). Tools like Chatbots and QR Codes enhanced user experience significantly. Conclusion: The study underscores the need for effective digital marketing strategies in community enterprises to boost engagement and brand recognition. High satisfaction levels indicate that tailored content and a robust online presence are essential for customer retention. Future efforts should focus on continuous improvement and leveraging technology for better communication, enabling sustainable growth for community enterprises in Song Khanong.

Tobacco companies, corporate social responsibility and the use of third-party awards: a framing analysis

ObjectiveCorporate social responsibility activities, such as third-party awards, provide an opportunity for tobacco companies (TCs) to promote themselves as socially, economically and environmentally responsible organisations. This study aimed to determine...

PREDICTION OF THE PRIMARY SOURCES OF GIANT CLIPPIR DIAMONDS IN THE NORTH OF YAKUTIA BY THE METHOD OF MINERALOGICAL AND GEOCHEMICAL ANALOGY (METHOD 5E DIAGRAMS)

The finds of giant CLIPPIR-type diamonds in the placers hosted by the Ebelyakh River basin in the north of Yakutia suggest that similar diamonds can be found in the kimberlites of the Anabar region and the nearest northern deposits located within the collisional Khapchan and Daldyn terranes. To predict the discovery of such diamonds, the authors use the 5E diagram method based on the principle of similarity of the compositions of five oxides of satellite minerals (Grt, Cpx, Chr and Ilm) of diamond (DSM) with the reference diagrams for the Karowe pipe (K-6, Botswana) with the composition of those for any other pipe. It was previously shown that the convergence of the DSM compositions of the Karowe and V. Grib (Arkhangelsk diamond province) pipes is 74 %, which might indicate possible presence of CLIPPIR diamonds in the predicted pipe. The application of this technique to two kimberlite pipes of the Anabar region demonstrated that the probability of detecting such diamonds in the Leningrad pipe (Lower Devonian, medium diamond content potential) is 74 %, and in the Malokuonamskaya pipe (Lower Triassic, medium diamond content) is 20 %. A comparison of diagrams 5E and additional PTС – fO2 diagrams of reconstructed sections of the lithospheric mantle showed their efficiency in predicting favorable conditions of CLIPPIR-type diamond crystallization. It is assumed that formation of such diamonds may occur within the proto-kimberlite magmatic chamber located near the boundary of the lithosphere and associated with the asthenospheric source. It should be surrounded by low-oxidized carbon-rich mantle eclogites and dunites with high pressure and temperature, as well as magnesium-rich ilmenite-chromite metasomatites. The use of the 5E diagram method, as the approach to predict giant CLIPPIR diamonds in poorly diamondiferous kimberlites, might attract investing for exploration to audit the industrial potential of a series of such kimberlites in the Anabar region. Its implementation would significantly increase the efficiency of geological exploration and assessment of the potential of poorly diamondiferous pipes that have been suspended as subeconomic.

Media Text: Technology of Influence on the Audience

The article focuses on the analysis of media texts as tools for influencing public opinion and behavior. It examines key concepts of media texts, their components, as well as manipulation technologies used to shape audience attitudes and beliefs. The study explores methods of emotional and rational influence employed in media texts, such as fact selection, framing, stereotyping, and context omission. It also addresses the issues of fake news and disinformation, which have become increasingly relevant in the digital age. The conclusion highlights the importance of critical media literacy in successfully countering manipulative media content. In the context of globalization and digitalization, the role of media texts in public life is growing, and their ability to impact audiences has become an important subject of analysis. The main goal of this article is to analyze the mechanisms through which media texts influence audiences and to identify key technologies used for manipulating consciousness.

Rainbows and laughter: How humor boosts e‐Word‐of‐Mouth for LGBT+ brands on social media

AbstractLGBT+ brands, i.e., those supporting and catering for the LGBT+ community and primarily owned and operated by members of this community, have been standing out for their authenticity in a marketplace where brands are regularly accused of “rainbow‐washing.” Yet, despite the recent media spotlight these brands are still struggling to grow and gain visibility among the general public. This study aims to explore how LGBT+ brands can leverage their content to increase e‐Word‐of‐Mouth (eWOM) on social media. Specifically, we focus on humorous content because its impact on eWOM has been mixed in the literature and brand type has been overlooked as a potential moderator to date. Using brand anthropomorphism and schema congruity theory, our research proposes that LGBT+ brands that adopt humor in their social media content generate higher eWOM when compared to mainstream brands. We suggest that consumers attribute the expected characteristics of gay individuals (e.g., humorous, witty, …) to LGBT+ brands, thus leading to perceived brand‐post fit as the underlying mechanism. Two studies based on Facebook data from two different LGBT+ brands and a scenario‐based experiment validate these findings. Alongside conceptualizing LGBT+ brands, we provide valuable insights into how these brands can gain exposure and visibility on social media.

Typology of Muslim Audience in Responding to Media Contents Consist of Religious Symbols

Audience is one of central terms that related with media according to the historical of the terms and the mass communication discourse. On the other sides, audiences referring to several authors who have given their concerns to it, audience related to economic, business, technology, politic, and etc. interest. Audience came after the media invented. However, the audience dynamic from the previous (ancestor) periods to our current time still relevant to be explored, described, and explained particularly that related to the Muslim community as the increasing community in world and as major community in Indonesia, in this research look through the religious symbols on media contents to be based of category of Muslim audience as the actor related with the media. Therefore, this research tries to find the typology of Muslim audience in responding to media contents consisting of religious symbols. This research using quantitative and qualitative data which was collected through cross-sectional survey. The UG approach and Active audience approach promoted by authors as Biocca being the theoretical based in collecting and analysis data of this research. The descriptive statistic is the quantitative result to be based the typology and the qualitative data to find the enrich and deeper description and explanation about how Muslim use media until researcher be able to make the categorization of Muslim audience regarding how they have responded to media contents consisting religious symbols. Finally, this research got seven big or rough categories of Muslim audiences in responding to media content containing religious symbols. There are clear enough that online platform media, primarily media social as the dominant media looking over the Muslim audience in this research as instagram. Almost 80% the audiences looking for the media content consisting of religious symbols when they are using media. Also the major of the audiences in this research are young people, which have educational background senior high school, and when they are asked through questionnaire they are students the particular sub-topics show us they are hesitated to give their judgment on them. However, even there are a number of interesting findings, two typical result that religious symbols could be used to educational purposes even they think the content usually bring to the controversy in society, at least what we find frequently on media social.

Hungry for nutrition information: Undergraduate students' engagement with nutrition social media nutrition content.

Background: Social media is a fast-changing, normalized way through which youth access health and nutrition information. Yet, social media content that lacks expertise or altruistic motives can negatively impact this vulnerable population through mis- or disinformation. Aim: The aims of this study were to 1) assess how adolescents and young adults engage with nutrition information across social media platforms and account types, and 2) describe their preferences for nutrition social media content. Methods: We conducted an exploratory mixed methods study with 57 undergraduate students enrolled in an introductory public health nutrition course. First, we calculated descriptive statistics on close-ended survey data on social media use and sociodemographic variables. Then, we performed thematic analysis on open-ended survey data regarding social media use, preferences, and experiences. Results: The median age of participants was 20 years old; 70% of participants identified as female and 11% identified as male. We found that TikTok and Instagram were highly preferred by participants for weight loss, wellness, diet promotion, and sports and fitness topics. In general, participants reported wanting personalized content that conveys positive nutrition messages that are supported by credible expertise. Conclusion: These findings suggest that the nutrition community can engage adolescents and young adults by presenting information as image- and video-based content on social media. Social media content related to weight loss, wellness, diet promotion, and sports and fitness topics should establish credibility using visible markers and embrace body positive messaging for maximum uptake.

Analysis of Software Developers' Programming Language Preferences and Community Behavior From Big5 Personality Traits

ABSTRACTMany programming languages and technologies have appeared for the purpose of software development. When choosing a programming language, the developers' cognitive attributes, such as the Big5 personality traits (BPT), may play a role. The developers' personality traits can be reflected in their social media content (e.g., tweets, statuses, Q&A, reputation). In this article, we predict the developers' programming language preferences (i.e., the pattern of picking up a language) from their BPT derived from their content produced on social media. We randomly collected data from a total of 820 Twitter (currently X) and Stack Overflow (SO) users. Then, we collected user features (i.e., BPT, word embedding of tweets) from Twitter and programming preferences (i.e., programming tags, reputation, question, answer) from SO. We applied various machine learning (ML) and deep learning (DL) techniques to predict their programming language preferences from their BPT. We also investigated other interesting insights, such as how reputation and question‐asking/replying are associated with the users' BPT. The findings suggest that developers with high openness, conscientiousness, and extraversion are inclined to mobile applications, object‐oriented programming, and web programming, respectively. Furthermore, developers with high openness and conscientiousness traits have a high reputation in the SO community. Our ML and DL techniques classify the developers' programming language preferences using their BPT with an average accuracy of 78%.

Men Shall Be Lovers of Self, Money and Pleasure (II Timothy 3:2, 4): A Contemporary Discourse on the Apostle Paul's Prophecy of the End Times

<p><em>The present time in Nigeria and globally has been more perilous than ever, characterized with bizarre occurrences within the church and the larger society. This study explores the Pauline eschatological prediction of the perilous times when men will become lovers of self, lovers of money, and lovers of pleasure more than God (II Timothy 3:1, 2 & 5). Experiential and theological methodologies were adopted for generating qualitative primary and secondary data. The theological aspect of the research employed the tools of biblical exegesis, textual analysis, and literatures. The experiential aspect involved in-depth interviews (IDIs), observations, social media contents and Focused Group Discussions (FGDs) to access current events and personalized experiences of respondents who were purposively selected from within and outside the church. The results were discussed in the light of Christian theology, social ethics and Pastoral ministry. The Nigerian society is evidently witnessing the perilous times when love of self, money and pleasure will become the untoward defining features of human society and sadly too, of men that profess the faith. Transactional gospel, gimmickry, merchandize of holy things, and self-indulgent love of money are rife in the contemporary church. Ostentatious lifestyles, lack of support for the minister at the local church, and false messages on material blessings are what trap church ministers and laypersons in this end-time evil. The context and practice of ‘full time’ ministry when the local assembly is not able to support its minister is a challenge that predisposes some to ‘Simoniacal’ presentations, offering the gifts of God for monetary gain. Sound biblical teachings to protect the people of God and expose the mercenary spirit in sacred function is the local church most potent weaponry.</em></p><strong> </strong>

Assessing changes in COVID-19 vaccine uptake and intentions among the Brigada Digital Latino social media audience: a repeated cross-sectional study

BackgroundU.S. Latinos experienced disproportionate COVID-19 impacts in terms of morbidity and mortality. Vaccination against COVID-19 is an important strategy for mitigating health impacts, and yet, vaccine uptake was slower among U.S. Latino adults compared to other racial/ethnic groups. Vaccine hesitancy has been a significant barrier within Latino communities, and exposure to misinformation has been associated with negative attitudes toward vaccination. While some COVID-19 mitigation efforts have included community-based outreach, few studies have explored the impact of community-based digital messaging in Spanish to counter COVID-19 misinformation, build trust, and promote vaccination. To address this gap, we conducted a one-year repeated cross-sectional study to assess changes in COVID-19 vaccine uptake, intentions, and perceived norms, as well as barriers to accessing reliable information and levels of trust in COVID-19 information sources among Latino adults exposed to Brigada Digital de Salud social media content. This culturally-tailored content disseminated on Facebook, Instagram, and X platforms was amplified by community health workers and partners, and focused on COVID-19 risk and prevention, vaccine safety and efficacy, and correcting related misinformation.ResultsStatistically significant increases in COVID-19 vaccination and intentions to vaccinate children were observed from May 2022 (wave 1) to April 2023 (wave 2). Among perceived difficulties accessing information, respondents indicated the most difficulty in judging the reliability of COVID-19 information in the media; however, a statistically significant decrease in perceived difficulty was observed between waves. With regard to trust in COVID-19 information sources, levels of trust were highest for healthcare providers in both waves, and there were statistically significant increases in trust in the FDA to ensure COVID-19 vaccine safety and trust in the federal government to ensure child COVID-19 vaccine safety at wave 2.ConclusionsSocial media messaging by trusted community-based sources shows promise as a strategy for combating health misinformation and ameliorating information access gaps for language minority populations. This digital approach represents an important tool for deploying critical information to underserved populations in public health emergency and crisis contexts, and for supporting changes in attitudes, trust, and behaviors to improve health outcomes.

Sentiment Analysis of Dune: Part Two Movie Reviews Using the Naive Bayes Method

Research on films is fascinating because of the profound changes that the development of information and communication technology has brought about in our interactions with and consumption of media content. This study performs sentiment analysis on "Dune: Part Two" movie reviews using the Naïve Bayes method. Review data was collected from IMDb and then processed through several stages such as preprocessing, feature selection with TF-IDF, data splitting, and data mining and evaluation. Naïve Bayes was chosen for its simplicity and ability to handle large datasets effectively. The test results showed a high accuracy rate of 95%, indicating that this model can identify positive, negative, and neutral sentiments well. The use of TF-IDF in feature selection allowed the model to focus on important words, enhancing its sentiment classification ability. This research can provide insights into audience perceptions of the film "Dune: Part Two," which is beneficial for the film industry.

Ensemble and Gossip Learning-Based Framework for Intrusion Detection System in Vehicle-to-Everything Communication Environment.

Autonomous vehicles are revolutionizing the future of intelligent transportation systems by integrating smart and intelligent onboard units (OBUs) that minimize human intervention. These vehicles can communicate with their environment and one another, sharing critical information such as emergency alerts or media content. However, this communication infrastructure is susceptible to cyber-attacks, necessitating robust mechanisms for detection and defense. Among these, the most critical threat is the denial-of-service (DoS) attack, which can target any entity within the system that communicates with autonomous vehicles, including roadside units (RSUs), or other autonomous vehicles. Such attacks can lead to devastating consequences, including the disruption or complete cessation of service provision by the infrastructure or the autonomous vehicle itself. In this paper, we propose a system capable of detecting DoS attacks in autonomous vehicles across two scenarios: an infrastructure-based scenario and an infrastructureless scenario, corresponding to vehicle-to-everything communication (V2X) Mode 3 and Mode 4, respectively. For Mode 3, we propose an ensemble learning (EL) approach, while for the Mode 4 environment, we introduce a gossip learning (GL)-based approach. The gossip and ensemble learning approaches demonstrate remarkable achievements in detecting DoS attacks on the UNSW-NB15 dataset, with efficiencies of 98.82% and 99.16%, respectively. Moreover, these methods exhibit superior performance compared to existing schemes.

НОВЫЕ МЕДИА: ОСНОВНЫЕ ТРЕНДЫ В СОЗДАНИИ КОНТЕНТА И ДИЗАЙНЕ (НА ПРИМЕРЕ СМИ ПРИДНЕСТРОВЬЯ)

The authors analyze the main trends in the development of new media, primarily collaboration with social networks and other Internet platforms that shape the agenda and influence the behavior of the audience through emotions. Other trends include consumer care and the transformation of brands into media. In addition, the paper describes the key principles of the formation and distribution of media content and the main trends of modern media design. Observations have shown that all state and commercial media in Transnistria, as well as press services of ministries and departments, use various modern technologies in their work: they maintain official pages on social networks and instant messengers, and create mobile applications. The trend of creating your own original media projects, using modern design trends, tools for creating and promoting content in various formats, has become current.

BoPo online, BoPo offline? Engagement with body positivity posts, positive appearance comments on social media, and adolescents' appearance-related prosocial tendencies

Encouraging prosocial tendencies toward others' physical appearance is crucial for promoting a positive body image during adolescence. Social media content that highlights positive appearance messages can significantly influence these tendencies. Hence, this three-wave panel study explored the impact of exposure to and the posting of Body Positivity (BoPo) posts and positive appearance comments on social media upon adolescents' offline prosocial behavioral tendencies towards others’ appearances, as mediated by appearance-related prosocial reasoning. Using a sample of adolescents aged 12 to 18 (N = 496, Mage = 15.05, SD = 1.49; 67.9% girls), the hypotheses received partial support. At the between-person level, adolescents who more often viewed BoPo and posted positive appearance comments also reported higher appearance-related prosocial tendencies. Nonetheless, on the within-person level, only more often posting positive appearance comments predicted a change to more appearance-related prosocial reasoning from T2 to T3. Notably, the mediation pathways from exposure to and the posting of BoPo and positive appearance comments to appearance-related prosocial tendencies through prosocial reasoning were not significant. Such findings suggest the presence of more significant sources for appearance-related prosocial tendencies than social media during adolescence. Still, the between-person findings can be valuable for peer-led campaigns that aim to foster a positive body image. Such campaigns could identify adolescents with heightened appearance-related prosocial tendencies who tend to engage with body positivity posts and positive appearance comments on social media.

Information quality and students’ academic performance: the mediating roles of perceived usefulness, entertainment and social media usage

PurposeThis study evaluates the mediating roles of entertainment, perceived usefulness, and social media use on social information (content) and students’ academic performance.MethodologyPrimary data was collected from 445 students at King Khalid University in Saudi Arabia using the snowball sampling strategy was employed. For data analysis, structural equation modeling (PLS-SEM) was used.FindingsEntertainment partly mediates the link between social information quality “content” (IQ) and social media use (SMU) and SMU mediates the link between IQ and student’s academic performance (SAP). Perceived usefulness mediates the link between IQ and SAP. Suggesting that entertainment and perceived usefulness are crucially necessary for inspiring social media content to obtain optimum performance among graduate students. The study was limited to a single academic institution. Therefore, the results of the investigation cannot be generalized as a whole, and cannot track respondents’ social media activity over time. Thus, longitudinal data may be used in future investigations. Practical implicationsThe results of this study indicate that faculties can adapt and adjust their teaching methods and activities to incorporate social media, perceived usefulness, and entertaining content since it affects student performance. Social media (SM) has a significant influence on students’ social and academic performance. Thus, educational stakeholders, such as university authorities, the government, and parents and guardians, should recognize social media as a tool for achieving educational objectives.Originality/valueThe study enhances the application of UTAUT2 by examining how factors that influence the adoption of technology are connected to the subsequent influence of that adoption on students’ learning and conduct.