Hasil untuk "Print media"

Michael T. Knierim, Thimo Schulz, Moritz Schiller et al.

Researchers often attribute social media's appeal to its ability to elicit flow experiences of deep absorption and effortless engagement. Yet prolonged use has also been linked to distraction, fatigue, and lower mood. This paradox remains poorly understood, in part because prior studies rely on habitual or one-shot reports that ask participants to directly attribute flow to social media. To address this gap, we conducted a five-day field study with 40 participants, combining objective smartphone app tracking with daily reconstructions of flow-inducing activities. Across 673 reported flow occurrences, participants rarely associated flow with social media (2 percent). Instead, heavier social media use predicted fewer daily flow occurrences. We further examine this relationship through the effects of social media use on fatigue, mood, and motivation. Altogether, our findings suggest that flow and social media may not align as closely as assumed - and might even compete - underscoring the need for further research.

Thomas Niederkrotenthaler, Lakshmi Vijayakumar, Gregory Armstrong et al.

Objectives Suicide rates in India are among the highest in the world, with the most recent suicide death rate estimates ranging between 18 and 21 deaths per 100 000 population (compared with the global average of 11/100 000). Responsible media reporting of suicide is one of the few evidence-based population-level suicide prevention interventions. Reports of recent suicides are a routine daily feature in major newspapers in India, and the reporting style carries many concerning features. In 2019, the Press Council of India adopted the WHO media guidelines, yet there has been no investigation as to whether this guidance is being followed. The aim of this paper was to systematically investigate whether the quality of print media reports of suicides has changed since the adoption of media guidelines for suicide reporting in India.Design We used content analysis to assess the quality of suicide reporting against WHO guidelines in nine of the most highly read daily newspapers in the southern state of Tamil Nadu between June and December 2016 and June and December 2023. Our analyses of changes in reporting were based on a sample of 1681 print newspaper articles from 2016 and 512 print newspaper articles from 2023. Two-tailed t-tests and proportion tests on aggregate means and frequencies assessed whether the reporting characteristics had changed between 2016 and 2023.Results There were small yet statistically discernible reductions in the proportion of articles containing various potentially harmful reporting characteristics, such as articles placed on the front page (4.9–1.8%, p=0.002) and articles mentioning the suicide method (92.7–86.5%, p<0.001). There were statistically discernible increases in the proportion of articles containing various potentially helpful reporting characteristics, such as recognition of the link between suicide and poor mental health (7.6–10.5%, p=0.035), mentions of suicide prevention support services/programmes (3.6–11.7%, p<0.001) and the provision of contact details for a suicide support service (2.5–8.8%, p<0.001). There was no statistically discernible improvement in several quality indicators, for example, providing a detailed account of the suicide method (43.1–38.9%, p=0.092), the naming of publicly accessible sites where suicides have occurred (8.2–10.0%, p=0.216), dispelling of suicide myths (2.0–1.8%, p=0.705) and drawing on expert opinions from mental health professionals (1.2–2.0%, p=0.238). In some instances, quality indicators had worsened, such as an increase in articles published in the first three pages of the newspaper (16.8–19.1%, p<0.001) and the use of monocausal explanations for the suicidal behaviour (53.4–70.7%, p<0.001). Analyses at the newspaper level showed that the small improvements that were observed were mainly driven by quite profound improvements in the quality of reporting by two English-language newspapers. For example, at The Hindu, there was a very large decrease in the proportion of articles mentioning the suicide method (85.7–14.3%, p<0.001) and increases in the proportion of articles dispelling suicide myths (2.5–21.4%, p=0.001) and providing contact details for a suicide support service (32.8–71.4%, p=0.005). Conversely, there were largely no observable improvements in reporting by any individual Tamil-language newspaper.Conclusions We observed substantial improvements in the reporting quality of some English-language newspapers, with minimal improvements in the quality of reporting in Tamil-language newspapers. The media guidelines in India are supporting the early phases of a culture shift on media reporting of suicide, yet they are just the start of the conversation. Strategies are required to engage and support vernacular language newspapers in India on their reporting of suicide, with media sector leadership as a core component.

Dilrukshi Gamage, Dilki Sewwandi, Min Zhang et al.

In this research, we explored the efficacy of various warning label designs for AI-generated content on social media platforms e.g., deepfakes. We devised and assessed ten distinct label design samples that varied across the dimensions of sentiment, color/iconography, positioning, and level of detail. Our experimental study involved 911 participants randomly assigned to these ten label designs and a control group evaluating social media content. We explored their perceptions relating to 1. Belief in the content being AI-generated, 2. Trust in the labels and 3. Social Media engagement perceptions of the content. The results demonstrate that the presence of labels had a significant effect on the users belief that the content is AI generated, deepfake, or edited by AI. However their trust in the label significantly varied based on the label design. Notably, having labels did not significantly change their engagement behaviors, such as like, comment, and sharing. However, there were significant differences in engagement based on content type: political and entertainment. This investigation contributes to the field of human computer interaction by defining a design space for label implementation and providing empirical support for the strategic use of labels to mitigate the risks associated with synthetically generated media.

Cora van Leeuwen, An Jacobs, Ilse Mariën et al.

Adoption of digital technology by older adults has become an important topic in academia and the public sphere within the debate on digital inclusion. Likewise, this topic has gained traction in the print media also. This paper assesses the representation of older adults in print media in the past 20 years in The Netherlands and Flanders. A total of 281 articles in the Dutch language were analysed to determine the representation of older adults and their level of agency. We found that they were represented in three manners: a) ambassadors of digital skill acquisition; b) naturally lacking in digital skills; or c) not alone in being helpless. These representations clearly increased during the COVIS-19 crisis. Some representations can be problematic, as the relationship between older adults and digital inclusion is not envisioned positively. Furthermore, they receive no agency to participate actively in the discussion surrounding their own digital inclusion and are too often used as the automatic example of the digitally illiterate – which is not particularly encouraging older adults towards digital skills acquisition.

Sigit Purnomo Adi, Nur Adibah Nadiah Mohd Aripin, I Gusti Ngurah Tri Marutama et al.

The creation of publication media for these relief-print artworks is a creative and innovative work because it does not only create relief-print works of art, but also creates publication media or exhibition media to exhibit relief-print works of art. This publication media work is a publication work that combines virtual and offline. The purpose of this work is the creation of relief-print art exhibition publication media that try to find alternative publication media which are environmentally friendly, efficient and global. The creation of this publication media uses the Tri Cipta Karya creation method which is an elaboration of the Artistic Creation method. The results of this creation produce an efficient Hybrid publication media, meaning that in the exhibition it is not only exhibited offline or physically, but also exhibited online or through a virtual gallery. The implications of this publication media creation have opened up wide opportunities for artists or designers to publish their works across countries online.

Dror K. Markus, Effi Levi, Tamir Sheafer et al.

Media Storms, dramatic outbursts of attention to a story, are central components of media dynamics and the attention landscape. Despite their significance, there has been little systematic and empirical research on this concept due to issues of measurement and operationalization. We introduce an iterative human-in-the-loop method to identify media storms in a large-scale corpus of news articles. The text is first transformed into signals of dispersion based on several textual characteristics. In each iteration, we apply unsupervised anomaly detection to these signals; each anomaly is then validated by an expert to confirm the presence of a storm, and those results are then used to tune the anomaly detection in the next iteration. We demonstrate the applicability of this method in two scenarios: first, supplementing an initial list of media storms within a specific time frame; and second, detecting media storms in new time periods. We make available a media storm dataset compiled using both scenarios. Both the method and dataset offer the basis for comprehensive empirical research into the concept of media storms, including characterizing them and predicting their outbursts and durations, in mainstream media or social media platforms.

Jordan M. Adams, Daniel Heligman, Ryan O'Dell et al.

We show that direct laser writing in aqueous silver nitrate with a $λ$ = 1030 nm femtosecond laser results in deposition of a mixture of silver oxide and silver, in contrast to the pure silver deposition previously reported with 780 nm femtosecond direct laser writing. However, adding photoinitiator prevents silver oxide formation in a concentration-dependent manner. As a result, the resistivity of the material can also be controlled by photoinitiator concentration with resistivity being reduced from approximately 9e-3 $Ω$m to 3e-7 $Ω$m. Silver oxide peaks dominate the X-ray diffraction spectra when no photoinitiator is present, while the peaks disappear with photoinitiator concentrations above 0.05 wt%. A THz polarizer and metamaterial are printed as a demonstration of silver oxide printing.

Sayan Kumar Chaki, Zeynep Sonat Baltaci, Elliot Vincent et al.

This paper aims to develop the study of historical printed ornaments with modern unsupervised computer vision. We highlight three complex tasks that are of critical interest to book historians: clustering, element discovery, and unsupervised change localization. For each of these tasks, we introduce an evaluation benchmark, and we adapt and evaluate state-of-the-art models. Our Rey's Ornaments dataset is designed to be a representative example of a set of ornaments historians would be interested in. It focuses on an XVIIIth century bookseller, Marc-Michel Rey, providing a consistent set of ornaments with a wide diversity and representative challenges. Our results highlight the limitations of state-of-the-art models when faced with real data and show simple baselines such as k-means or congealing can outperform more sophisticated approaches on such data. Our dataset and code can be found at https://printed-ornaments.github.io/.

Md. Omarsany Bappy, Qiang Jiang, Stephanie Atampugre et al.

Integrating multiple sensing capabilities into a single multimodal sensor greatly enhances its applications for in-situ sensing and structural health monitoring. However, the fabrication of multimodal sensors is complicated and limited by the available materials and existing manufacturing methods that often involve complex and expensive fabrication processes. In this study, a high-temperature multimodal sensor is demonstrated by aerosol jet printing of gold and ITO nanoparticle inks. The printed multimodal sensor for concurrent strain and temperature sensing possesses a high gauge factor of 2.54 and thermopower of 55.64 V/°C combined with excellent high-temperature thermal stability up to 540 °C. Compared to traditional single-modality sensors, the printed multimodal sensor significantly increases sensing capacity and improves spatial resolution using microscale printed patterns. The study also demonstrates that the strain sensor with integrated thermocouple enables in-situ compensation of the temperature effect on strain sensing, significantly improving strain measurement accuracy at high temperatures. By combining aerosol jet printing with nanomaterial inks, a wide range of multifunctional devices can be developed for a broad range of emerging applications.

Unnikrishnan KV, Dinesh K

In recent years, the Kerala University of Fisheries and Ocean Studies (KUFOS) along with the State Fisheries Department has been promoting brackish water cage farming by providing extensive online and field-level technical support to the farmers. There are various sources from which farmers gather information for adopting cage culture. A study was carried out among the brackish water cage farmers located in different regions of Kerala to identify the significance of various sources of information in adopting sustainable cage culture practices. The information platforms having various sorts of tools and methodologies are generally categorized into four: print media, visual media, social media, and the traditional type of training programme. All the sources selected for the study are a rich repository of information and insights on the subject under discussion. From the study, it was possible to identify the sources of information according to the magnitude of popularity among various farmers and corelating the same with the rate of adoption of a technology. The maximum number of farmers gathered information through training programme. Least number of farmers with mean score of 208 utilized print media as a medium to gather information on cage culture.

Benjamin Litterer, David Jurgens, Dallas Card

Most events in the world receive at most brief coverage by the news media. Occasionally, however, an event will trigger a media storm, with voluminous and widespread coverage lasting for weeks instead of days. In this work, we develop and apply a pairwise article similarity model, allowing us to identify story clusters in corpora covering local and national online news, and thereby create a comprehensive corpus of media storms over a nearly two year period. Using this corpus, we investigate media storms at a new level of granularity, allowing us to validate claims about storm evolution and topical distribution, and provide empirical support for previously hypothesized patterns of influence of storms on media coverage and intermedia agenda setting.

Yifei Yuan, Wenxuan Zhang, Yang Deng et al.

Social media plays a significant role in boosting the fashion industry, where a massive amount of fashion-related posts are generated every day. In order to obtain the rich fashion information from the posts, we study the task of social media fashion knowledge extraction. Fashion knowledge, which typically consists of the occasion, person attributes, and fashion item information, can be effectively represented as a set of tuples. Most previous studies on fashion knowledge extraction are based on the fashion product images without considering the rich text information in social media posts. Existing work on fashion knowledge extraction in social media is classification-based and requires to manually determine a set of fashion knowledge categories in advance. In our work, we propose to cast the task as a captioning problem to capture the interplay of the multimodal post information. Specifically, we transform the fashion knowledge tuples into a natural language caption with a sentence transformation method. Our framework then aims to generate the sentence-based fashion knowledge directly from the social media post. Inspired by the big success of pre-trained models, we build our model based on a multimodal pre-trained generative model and design several auxiliary tasks for enhancing the knowledge extraction. Since there is no existing dataset which can be directly borrowed to our task, we introduce a dataset consisting of social media posts with manual fashion knowledge annotation. Extensive experiments are conducted to demonstrate the effectiveness of our model.

I. V. Lizunova, E. A. Stepanov

The article concerns the problems of functioning the publishing and printing industry in Siberia and the Far East at the early XXI century: peculiarities of its infrastructure forming, entering the country’s printing services market, the place of a region in it. The paper objective is to represent the modern publishing and printing industry in Siberia and the Far East, its structural components, and determine the likely directions for further development of the regional market to printing product and service producers. The article reveals that, at the region territory, there are printing enterprises of various forms of ownership, production scale, printing technologies used, producing practically all types of publishing products of a wide range – from text editions to special ones. The leaders of the modern printing industry in the region are still the largest regional/area printing houses/media holdings - the flagships of the printing industry of certain territories in terms of provided products and services. At the same time, small printing enterprises start to play an increasing role, responding more flexibly and quickly to changes in consumer demand, changes and challenges of the printing services market. Their number in the region is quite large. The basis of small printing enterprises are district/city printing houses, print shops, advertising agencies, mini-printing houses, publishing centers. One can observe the continuation of the activity diversification of the largest printing houses in the region and the general digitalization of the activities of enterprises in the industry.

Sam Keller, Matthew Stein, Ognjen Ilic

Additive manufacturing, such as 3D printing, offers unparalleled opportunities for rapid prototyping of complex three-dimensional objects, but typically requires simultaneous building of solid supports to minimize deformation and ensure contact with the printing surface. Here, we theoretically and experimentally investigate the concept of material extrusion on an "air bed", a judiciously engineered acoustic field that supports the material by contactless radiation force. We study the dynamics of polylactic acid filament (PLA), a commonly used material in 3D printing, as it interacts with the acoustic potential during extrusion. We develop numerical models to determine optimal transducer arrangements and printing conditions, and we build and demonstrate a concept prototype that integrates a commercial 3D printer and open-source control code. Our results point towards alternative, contactless support mechanisms with potential benefits such as fewer surface defects, less material waste, lower cost, and reduced manufacturing time. These features could become crucial as additive manufacturing continues to evolve into a foundational tool in engineering and beyond.

Domonkos F. Vamossy, Rolf Skog

We develop an open-source tool (EmTract) that extracts emotions from social media text tailed for financial context. To do so, we annotate ten thousand short messages from a financial social media platform (StockTwits) and combine it with open-source emotion data. We then use a pre-tuned NLP model, DistilBERT, augment its embedding space by including 4,861 tokens (emojis and emoticons), and then fit it first on the open-source emotion data, then transfer it to our annotated financial social media data. Our model outperforms competing open-source state-of-the-art emotion classifiers, such as Emotion English DistilRoBERTa-base on both human and chatGPT annotated data. Compared to dictionary based methods, our methodology has three main advantages for research in finance. First, our model is tailored to financial social media text; second, it incorporates key aspects of social media data, such as non-standard phrases, emojis, and emoticons; and third, it operates by sequentially learning a latent representation that includes features such as word order, word usage, and local context. Using EmTract, we explore the relationship between investor emotions expressed on social media and asset prices. We show that firm-specific investor emotions are predictive of daily price movements. Our findings show that emotions and market dynamics are closely related, and we provide a tool to help study the role emotions play in financial markets.

David Garcia, Max Pellert, Jana Lasser et al.

Social media generate data on human behaviour at large scales and over long periods of time, posing a complementary approach to traditional methods in the social sciences. Millions of texts from social media can be processed with computational methods to study emotions over time and across regions. However, recent research has shown weak correlations between social media emotions and affect questionnaires at the individual level and between static regional aggregates of social media emotion and subjective well-being at the population level, questioning the validity of social media data to study emotions. Yet, to date, no research has tested the validity of social media emotion macroscopes to track the temporal evolution of emotions at the level of a whole society. Here we present a pre-registered prediction study that shows how gender-rescaled time series of Twitter emotional expression at the national level substantially correlate with aggregates of self-reported emotions in a weekly representative survey in the United Kingdom. A follow-up exploratory analysis shows a high prevalence of third-person references in emotionally-charged tweets, indicating that social media data provide a way of social sensing the emotions of others rather than just the emotional experiences of users. These results show that, despite the issues that social media have in terms of representativeness and algorithmic confounding, the combination of advanced text analysis methods with user demographic information in social media emotion macroscopes can provide measures that are informative of the general population beyond social media users.

Dr. Riaz Ahmad Saeed, Abdul Mannan

It’s a scholarly observation that a modern state has three pillars; executive, legislative and judiciary while media is called fourth pillar of a state. However, due to its controversy and importance, media is called watch dog of the society and state. Media is considered main source of every kind of information throughout the world. However, the contradictory application of media is a major issue in the contemporary Islamic society. It’s also perceived, media is playing role of propaganda machine against religious ethics and norms especially against Islamic way of life in global world. Pakistan is including one of the country where media is not playing a suitable role for social and moral development. National and local media of Pakistan is imitating western and global culture and civilizations. Media channels are violating rules and regulations of Pakistan electronic media regulatory authority (PEMRA) in addition with Islamic and social values.  But sorry to say this forum is failed to overcome these issues in Pakistan. In this context, this study explores Islamic perspective upon importance of media principles and violation of religious and social rules of PEMRA by electronic and print Media. In this study analytical and critical research methodology has been adopted with qualitative approach. According to PEMRA rules and Islamic teachings, misreporting, transmission of vulgarity, obscene and broadcasting of sensational and wrong news have been strictly forbidden. But it’s observed, mostly media channels are violating Islamic and PEMRA’s rules clearly. Therefore, it’s recommended PEMRA rules must be followed with Islamic principles of media to overcome these issues in Pakistan.

A. V. Mikhalcheva

The article is devoted to the description of the main contemporary ways of studying mass media language. Due to its global penetration and influence on all spheres of communication, the research of its functioning becomes the main aspect of foreign and Russian scientific works. The dominating cognitive-discourse paradigm interprets a text in accordance with the communicative situation and cognitive peculiarities of the participants of such communication and gives an opportunity to study mass media texts as a media discourse which includes different aspects of language usage in print and electronic media as well as peculiarities of the channel of communication: television, radio, newspapers, the Internet. As a result, it becomes necessary not only to distinguish new grounds of classification media texts but also to establish the methods of analysis and describe its influence on other spheres of language usage. The main aim of the article is to analyze the most widespread ways of studying mass media language in contemporary Russian linguistics that leads to the understanding of modern tendencies of researching such texts. The author has chosen such trends as media linguistics, media stylistics and discourse-sphere that are the most prominent ways of mass media language interpretation in the scientific society resulting in the great number of articles and monographs not only by the authors of these theories but also by their adherents. The result of this article is the systematic description of these theories, their classification and peculiar methods of investigation.

M. Schudson

Світлана Борисівна Фіялка, Анна Штефан

Наукова новизна полягає в розширенні уявлень про пізнавальну книгу для дітей молодшого шкільного віку та роль редактора в її вдосконаленні з урахуванням психологічних особливостей читацької авдиторії. Звернено увагу на термінологічну плутанину щодо пізнавальної літератури та розглянуто думки науковців щодо понять «пізнавальна книга», «нон-фікшн», «просвітницька книга», «навчально-пізнавальне видання» і «науково-популярне видання». На основі цього розширено дефініцію «пізнавальної літератури». Зазначено, що нині професія редактора дитячої літератури зазнала значних змін: він не лише виконує редакторський аналіз матеріалу, а й володіє важливими особистісними якостями та поєднує в роботі досвід багатьох фахівців. Відтак запропоновано універсальний набір функцій редактора пізнавальної книги для дітей молодшого шкільного віку, котрий постає в таких ролях: «редактор-дослідник дитячої психології», «редактор-популяризатор», «редактор-універсальна особистість», «редактор-консультант», «редактор-верстальник», «редактор-ілюстратор», «редактор-педагог». Зроблено висновок, що пізнавальна книга актуальна в освітньому процесі, однак вона потребує фахового редактора, котрий, уміло застосовуючи надбання інших професій, знаючи механізми поліпшення сприйняття інформації, може підвищити рівень її якості. Практичне значення отриманих результатів полягає в тому, що їх можна використовувати в навчальному процесі підготовки майбутніх редакторів. Також ця інформація може бути використана видавництвами задля розширення пропозиції та, відповідно, збільшення попиту на пізнавальну книгу для дітей. Робота доводить доцільність використання пізнавальної літератури під час навчального процесу учнів початкової школи.