Hasil untuk "Journalism. The periodical press, etc."

Anantasha Titisania Rimadewi, Yudi Azis, Diana Sari et al.

As social media became essential for communication, organizations collected vast data from platforms like Facebook, Twitter (X), Instagram, and LinkedIn. However, turning this data into actionable insights for strategic decision-making was often inconsistent. This study explored ways to enhance social media reporting to improve strategic outcomes. Through literature review and expert interviews, it identified challenges such as misaligned metrics, low data literacy, siloed departments, and limited integration of insights into planning. Despite investments in dashboards and analytics tools, these resources were often underused due to interpretive gaps and a focus on vanity metrics. The findings highlighted the importance of aligning social media KPIs with organizational goals, fostering cross-functional collaboration, and enhancing interpretive capabilities among staff and executives. Importantly, the study also underscored the broader public value of effective social media reporting, particularly in the public sector, where data-driven communication enhanced transparency, responsiveness, and citizen trust. This research contributed to the growing discourse on data-driven strategy by emphasizing not only the technical and analytical dimensions, but also the often-overlooked human, organizational, and public value factors that influenced the real-world effectiveness of social media reporting.

Russell Beale

We reflect on the life and influence of the academic journal, charting their history and contributions, discussing how their influence changed society, and examining how in death they will be mourned for what they initially stood for but in the end had moved so far from that they will less missed than they might have been.

Joppe Bos, Kevin S. McCurley

Many scholarly societies face challenges in adapting their publishing to an open access model where neither authors nor readers pay any fees. Some have argued that one of the main barriers is the actual cost of publishing. The goal of this paper is to show that the actual costs can be extremely low while still maintaining scholarly quality. We accomplish this by building a journal publishing workflow that minimizes the amount of required human labor. We recently built a software system for this and launched a journal using the system, and we estimate estimate our cost to publish this journal is approximately \$705 per year, plus \$1 per article and about 10 minutes of volunteer labor per article. We benefited from two factors, namely the fact that authors in our discipline use LaTeX to prepare their manuscripts, and we had volunteer labor to develop software and run the journal. We have made most of this software open source in the hopes that it can help others.

Burkhard C. Schipper, Tina Danting Zhang

We study dynamic decentralized two-sided matching in which players may encounter unanticipated experiences. As they become aware of these experiences, they may change their preferences over players on the other side of the market. Consequently, they may get ``divorced'' and rematch again with other agents, which may lead to further unanticipated experiences etc. A matching is stable if there is absence of pairwise common belief in blocking. Stable matchings can be destabilized by unanticipated experiences. Yet, we show that there exist self-confirming outcomes that are stable and do not lead to further unanticipated experiences. We introduce a natural decentralized matching process that, at each period assigns probability $1 - \varepsilon$ to the satisfaction of a mutual optimal blocking pair (if it exists) and picks any optimal blocking pair otherwise. The parameter $\varepsilon$ is interpreted as a friction of the matching market. We show that for any decentralized matching process, frictions are necessary for convergence to stability even without unawareness. Our process converges to self-confirming stable outcomes. Further, we allow for bilateral communication/flirting that changes the awareness and say that a matching is flirt-proof stable if there is absence of communication leading to pairwise common belief in blocking. We show that our natural decentralized matching process converges to flirt-proof self-confirming outcomes.

Mashrur Rashik, Shilpa Sweth, Nishtha Agrawal et al.

Journaling plays a crucial role in managing chronic conditions by allowing patients to document symptoms and medication intake, providing essential data for long-term care. While valuable, traditional journaling methods often rely on static, self-directed entries, lacking interactive feedback and real-time guidance. This gap can result in incomplete or imprecise information, limiting its usefulness for effective treatment. To address this gap, we introduce PATRIKA, an AI-enabled prototype designed specifically for people with Parkinson's disease (PwPD). The system incorporates cooperative conversation principles, clinical interview simulations, and personalization to create a more effective and user-friendly journaling experience. Through two user studies with PwPD and iterative refinement of PATRIKA, we demonstrate conversational journaling's significant potential in patient engagement and collecting clinically valuable information. Our results showed that generating probing questions PATRIKA turned journaling into a bi-directional interaction. Additionally, we offer insights for designing journaling systems for healthcare and future directions for promoting sustained journaling.

León Ganatios, Luis Eduardo, García González, Lidia Angeles

Las redes sociales de internet han influido en la política y concretamente en la democracia. Asimismo, pueden cambiar muchos aspectos de manera que contribuyan a una democracia más plena y efectiva. En este estudio comprobamos si la existencia y optimización de las redes sociales de internet influye en la efectividad democrática en los países latinoamericanos. Realizamos un estudio estadístico, cuantitativo e inferencial con datos de 2023, utilizando encuestas representativas, para demostrar que el internet y las redes sociales inciden en la democratización de los países antes mencionados. Partimos de la hipótesis propuesta por Lipset: la prosperidad económica de una nación contribuye a fortalecer la democracia.

Andrew Maris, Cristina Rea, Alessandro Pau et al.

The "density limit" is one of the fundamental bounds on tokamak operating space, and is commonly estimated via the empirical Greenwald scaling. This limit has garnered renewed interest in recent years as it has become clear that ITER and many tokamak pilot plant concepts must operate near or above the Greenwald limit to achieve their objectives. Evidence has also grown that the Greenwald scaling - in its remarkable simplicity - may not capture the full complexity of the density limit. In this study, we assemble a multi-machine database to quantify the effectiveness of the Greenwald limit as a predictor of the L-mode density limit and compare it with data-driven approaches. We find that a boundary in the plasma edge involving dimensionless collisionality and pressure, $ν_{*\rm, edge}^{\rm limit} = 3.5 β_{T,{\rm edge}}^{-0.40}$, achieves significantly higher accuracy (false positive rate of 2.3% at a true positive rate of 95%) of predicting density limit disruptions than the Greenwald limit (false positive rate of 13.4% at a true positive rate of 95%) across a multi-machine dataset including metal- and carbon-wall tokamaks (AUG, C-Mod, DIII-D, and TCV). This two-parameter boundary succeeds at predicting L-mode density limits by robustly identifying the radiative state preceding the terminal MHD instability. This boundary can be applied for density limit avoidance in current devices and in ITER, where it can be measured and responded to in real time.

Mohamed Hammad

Selecting the right journal for your research paper is a pivotal decision in the academic publishing journey. This paper aims to guide researchers through the process of choosing a suitable journal for their work by discussing key criteria and offering practical tips.

Mehwish Fatima, Tim Kolber, Katja Markert et al.

Cross-lingual science journalism generates popular science stories of scientific articles different from the source language for a non-expert audience. Hence, a cross-lingual popular summary must contain the salient content of the input document, and the content should be coherent, comprehensible, and in a local language for the targeted audience. We improve these aspects of cross-lingual summary generation by joint training of two high-level NLP tasks, simplification and cross-lingual summarization. The former task reduces linguistic complexity, and the latter focuses on cross-lingual abstractive summarization. We propose a novel multi-task architecture - SimCSum consisting of one shared encoder and two parallel decoders jointly learning simplification and cross-lingual summarization. We empirically investigate the performance of SimCSum by comparing it with several strong baselines over several evaluation metrics and by human evaluation. Overall, SimCSum demonstrates statistically significant improvements over the state-of-the-art on two non-synthetic cross-lingual scientific datasets. Furthermore, we conduct an in-depth investigation into the linguistic properties of generated summaries and an error analysis.

Ekansh Sharma, Christoph Henke, Alex Mitrevski et al.

Loading of shipping containers for dairy products often includes a press-fit task, which involves manually stacking milk cartons in a container without using pallets or packaging. Automating this task with a mobile manipulator can reduce worker strain, and also enhance the efficiency and safety of the container loading process. This paper proposes an approach called Adaptive Compliant Control with Integrated Failure Recovery (ACCIFR), which enables a mobile manipulator to reliably perform the press-fit task. We base the approach on a demonstration learning-based compliant control framework, such that we integrate a monitoring and failure recovery mechanism for successful task execution. Concretely, we monitor the execution through distance and force feedback, detect collisions while the robot is performing the press-fit task, and use wrench measurements to classify the direction of collision; this information informs the subsequent recovery process. We evaluate the method on a miniature container setup, considering variations in the (i) starting position of the end effector, (ii) goal configuration, and (iii) object grasping position. The results demonstrate that the proposed approach outperforms the baseline demonstration-based learning framework regarding adaptability to environmental variations and the ability to recover from collision failures, making it a promising solution for practical press-fit applications.

Xenia Negrea

Nicu Gavriluță, Why do we like superheroes? The mythology and symbolism of the Marvel movies, Polirom, Iași, 2022

William Croft, Jörg-Rüdiger Sack

Prediction of the future performance of academic journals is a task that can benefit a variety of stakeholders including editorial staff, publishers, indexing services, researchers, university administrators and granting agencies. Using historical data on journal performance, this can be framed as a machine learning regression problem. In this work, we study two such regression tasks: 1) prediction of the number of citations a journal will receive during the next calendar year, and 2) prediction of the Elsevier CiteScore a journal will be assigned for the next calendar year. To address these tasks, we first create a dataset of historical bibliometric data for journals indexed in Scopus. We propose the use of neural network models trained on our dataset to predict the future performance of journals. To this end, we perform feature selection and model configuration for a Multi-Layer Perceptron and a Long Short-Term Memory. Through experimental comparisons to heuristic prediction baselines and classical machine learning models, we demonstrate superior performance in our proposed models for the prediction of future citation and CiteScore values.

Angelos-Christos Anadiotis, Oana Balalau, Theo Bouganim et al.

Investigative Journalism (IJ, in short) is staple of modern, democratic societies. IJ often necessitates working with large, dynamic sets of heterogeneous, schema-less data sources, which can be structured, semi-structured, or textual, limiting the applicability of classical data integration approaches. In prior work, we have developed ConnectionLens, a system capable of integrating such sources into a single heterogeneous graph, leveraging Information Extraction (IE) techniques; users can then query the graph by means of keywords, and explore query results and their neighborhood using an interactive GUI. Our keyword search problem is complicated by the graph heterogeneity, and by the lack of a result score function that would allow to prune some of the search space. In this work, we describe an actual IJ application studying conflicts of interest in the biomedical domain, and we show how ConnectionLens supports it. Then, we present novel techniques addressing the scalability challenges raised by this application: one allows to reduce the significant IE costs while building the graph, while the other is a novel, parallel, in-memory keyword search engine, which achieves orders of magnitude speed-up over our previous engine. Our experimental study on the real-world IJ application data confirms the benefits of our contributions.

David Robie

Melanesia, and the microstates of the Pacific generally, face the growing influence of authoritarian and secretive values in the region—projected by both China and Indonesia and with behind-the-scenes manipulation. There is also a growing tendency for Pacific governments to use unconstitutional, bureaucratic or legal tools to silence media and questioning journalists. Frequent threats of closing Facebook and other social media platforms and curbs on online freedom of information are another issue. While Pacific news media face these challenges, their support networks are being shaken by the decline of Australia as a so-called ‘liberal democracy’ and through the undermining of its traditional region-wide public interest media values with the axing of Radio Australia and Australia Network television. Reporting climate change is the Pacific’s most critical challenge while Australian intransigence over the issue is subverting the region’s media. This article engages with and examines these challenges and also concludes that the case of West Papua is a vitally important self-determination issue that left unresolved threatens the security of the region.

Mohamed Serfati

Ficha técnica: Joan-Tomàs Pujolà Font (ed.) Editorial Octaedro Barcelona, 2019 146 pp. ISBN: 978-84-17667-92-4

Takeshi Terui, Yasuyuki Minamiyama, Kazutsuna Yamaji

Stakeholders in the scientific field must always maintain transparency in the process of publishing research results in journals. Unfortunately, although research misconduct has stopped, certain forms of manipulation continue to appear in other forms. As new techniques of scientific publishing develop, science stakeholders need to examine the possibility of inappropriate activity in these new platforms. The National Institute of Polar Research in Japan launched a new data journal Polar Data Journal (PDJ) in 2017 to review the quality of data obtained in the polar region. To maintain transparency in this new data journal, we investigated the possibility of inappropriate data manipulation in peer reviews before the inception of this journal. We clarified inappropriate activity for the data in the peer review and considered preventive measures. We designed a specific workflow for PDJ. This included two measures: (i) the comparison of hash values in the review process and (ii) open peer review report publishing. Using the hash value comparison, we detected two instances of inappropriate data manipulation after the start of the journal. This research will help improve workflow in data journals and data repositories.

Ori Press, Tomer Galanti, Sagie Benaim et al.

We study the problem of learning to map, in an unsupervised way, between domains A and B, such that the samples b in B contain all the information that exists in samples a in A and some additional information. For example, ignoring occlusions, B can be people with glasses, A people without, and the glasses, would be the added information. When mapping a sample a from the first domain to the other domain, the missing information is replicated from an independent reference sample b in B. Thus, in the above example, we can create, for every person without glasses a version with the glasses observed in any face image. Our solution employs a single two-pathway encoder and a single decoder for both domains. The common part of the two domains and the separate part are encoded as two vectors, and the separate part is fixed at zero for domain A. The loss terms are minimal and involve reconstruction losses for the two domains and a domain confusion term. Our analysis shows that under mild assumptions, this architecture, which is much simpler than the literature guided-translation methods, is enough to ensure disentanglement between the two domains. We present convincing results in a few visual domains, such as no-glasses to glasses, adding facial hair based on a reference image, etc.

Huda Malik Shibeeb, Zina Abdul Hadi Muhammed Ali

مهما ابدع مصممو الاعلان في اختيار العبارات النصية والمنطوقة فانها لا يمكن ان تعطي او توصل المعنى كاملا الى المتلقي الا اذا عُززت هذه اللغة المنطوقة والمكتوبة بلغة اخرى تستند على الاشارات والحركات والرموز التي تعرض باستخدام الجسد او العناصر الفنية الاخرى للاعلان مثل الصورة والالوان والموسيقى والمؤثرات وغيرها من عناصر البناء الفني للاعلان التلفزيوني والتي جميعها تسهم في اكمال الفكرة الاعلانية وتجعلها جاهزة للعرض امام الجمهور. لقد عول العلماء والباحثين في مجال علم النفس الكثير على هذه اللغة (لغة الجسد) وبعضهم وضع تفاسير عديدة ومتنوعة عن كل حركة وكل اشارة تصدر من الانسان حيث باتت اللغة غير اللفظية امر في غاية الاهمية لمعرفة شخصية الانسان وكيف يفكر ، كما وتعبر عن المكنون في اعماقه ، وقد وصل عدد هذه الحركات التي فسروها الى (130) حركة يقوم بها الانسان دون ان يعبر ولا بكلمة واحدة عن ما يريد ان يقوله . ولم يتوانى المعلنون والمصممون عن الاعتماد على هذه اللغة في عرض فكرتهم الاعلانية حتى ان بعض الاعلانات تخلوا احيانا من اللغة اللفظية وتكتفي بالاشارة الى جانب لغة الصمت ومع ذلك اثبتت نجاحها في ايصال ما تريد ايصاله للجمهور ، ومن هذا المنطلق ارتأت الباحثتان في هذا المجال للوقوف على مدى استخدام هذه اللغة في الاعلانات التلفزيونية معتمدتان على المنهج المسحي وهو المنهج المناسب لوصف الظاهرة (موضوع البحث) كما استخدمتا طريقة تحليل المضمون وقد صممتا استمارة التحليل التي تضمنت فئات الشكل (كيف قيل) فئات رئيسة وتفرعت منها فئات ثانوية شاملة لجميع حركات الجسد ، الراس ، والاطراف ، والجسد عموما . وقد توصلت الباحثتان الى نتائج مهمة اهمها :- ركزت قناة الحياة مسلسلات على استخدام لغة الجسد في اعلاناتها ايماناً منها بتاثير هذه اللغة على المتلقي للوصول الى سرعة الاستجابة . كان لفئة الراس النسبة الاعلى في الاستخدام في اغلب اعلانات القناة لكونه يضم اجزاء اخرى الوجه والحواجب والانف والاذن والفم وكلها تؤدي لغة محددة تدعم اللغة اللفظية . حصول اعلانات المشروبات على اعلى نسبة في استخدام لغة الجسد . تفوق اللغة الجسدية على اللغة اللفظية في اعلانات القناة خلال فترة تسجيل العينة .

Gangan Prathap, Loet Leydesdorff

The Journal Impact Factor (JIF) is linearly sensitive to self-citations because each self-citation adds to the numerator, whereas the denominator is not affected. Pinski & Narin (1976) derived the Influence Weight (IW) as an alternative to Garfield's JIF. Whereas the JIF is based on raw citation counts normalized by the number of publications, IWs are based on the eigenvectors in the matrix of aggregated journal-journal citations without a reference to size: the cited and citing sides are combined by a matrix approach. IWs emerge as a vector after recursive iteration of the normalized matrix. Before recursion, IW is a (vector-based) non-network indicator of impact, but after recursion (i.e. repeated improvement by iteration), IWs can be considered a network measure of prestige among the journals in the (sub)graph as a representation of a field of science. As a consequence (not intended by Pinski & Narin in 1976), the self-citations are integrated at the field level and no longer disturb the analysis as outliers. In our opinion, this is a very desirable property of a measure of quality or impact. As illustrations, we use data of journal citation matrices already studied in the literature, and also the complete set of data in the Journal Citation Reports 2017 (n = 11,579 journals). The values of IWs are sometimes counter-intuitive and difficult to interpret. Furthermore, iterations do not always converge. Routines for the computation of IWs are made available at http://www.leydesdorff.net/iw.

Lila Farías Muñoz, Varinia Cuello Riveros

Investigación, se enmarca en la línea de integración e inclusión social de la Universidad Viña del Mar, y determina la concepción que poseen los jóvenes universitarios de primer año de la región de Valparaíso - Chile, sobre los estereotipos de género reflejados en la sociedad y la publicidad. Y dentro de ésta, tanto la publicidad en general como de las universidades de la región. Este estudio es de corte cualitativo y en él, los jóvenes reconocen la persistencia del machismo, así como la aparición de un nuevo estereotipo femenino que exige del hombre un cambio. Los modelos de hombre y mujer que presenta la sociedad y la publicidad en general, son los tradicionales. En la publicidad de las universidades, los estudiantes reconocen mayores rasgos de alteridad. Esta mirada, permite observar las coincidencias o diferencias en relación a su visión personal, y su incidencia en el desarrollo de estrategias de comunicación.