The transition of Large Language Models (LLMs) from exploratory tools to active "silicon subjects" in social science lacks extensive validation of operational validity. This study introduces Conditioned Comment Prediction (CCP), a task in which a model predicts how a user would comment on a given stimulus by comparing generated outputs with authentic digital traces. This framework enables a rigorous evaluation of current LLM capabilities with respect to the simulation of social media user behavior. We evaluated open-weight 8B models (Llama3.1, Qwen3, Ministral) in English, German, and Luxembourgish language scenarios. By systematically comparing prompting strategies (explicit vs. implicit) and the impact of Supervised Fine-Tuning (SFT), we identify a critical form vs. content decoupling in low-resource settings: while SFT aligns the surface structure of the text output (length and syntax), it degrades semantic grounding. Furthermore, we demonstrate that explicit conditioning (generated biographies) becomes redundant under fine-tuning, as models successfully perform latent inference directly from behavioral histories. Our findings challenge current "naive prompting" paradigms and offer operational guidelines prioritizing authentic behavioral traces over descriptive personas for high-fidelity simulation.
In AI-empowered poster design, content-aware layout generation is crucial for the on-image arrangement of visual-textual elements, e.g., logo, text, and underlay. To perceive the background images, existing work demanded a high parameter count that far exceeds the size of available training data, which has impeded the model's real-time performance and generalization ability. To address these challenges, we proposed a patch-level data summarization and augmentation approach, vividly named Scan-and-Print. Specifically, the scan procedure selects only the patches suitable for placing element vertices to perform fine-grained perception efficiently. Then, the print procedure mixes up the patches and vertices across two image-layout pairs to synthesize over 100% new samples in each epoch while preserving their plausibility. Besides, to facilitate the vertex-level operations, a vertex-based layout representation is introduced. Extensive experimental results on widely used benchmarks demonstrated that Scan-and-Print can generate visually appealing layouts with state-of-the-art quality while dramatically reducing computational bottleneck by 95.2%.
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.
Social media enables activists to directly communicate with the public and provides a space for movement leaders, participants, bystanders, and opponents to collectively construct and contest narratives. Focusing on Twitter messages from social movements surrounding three issues in 2018-2019 (guns, immigration, and LGBTQ rights), we create a codebook, annotated dataset, and computational models to detect diagnostic (problem identification and attribution), prognostic (proposed solutions and tactics), and motivational (calls to action) framing strategies. We conduct an in-depth unsupervised linguistic analysis of each framing strategy, and uncover cross-movement similarities in associations between framing and linguistic features such as pronouns and deontic modal verbs. Finally, we compare framing strategies across issues and other social, cultural, and interactional contexts. For example, we show that diagnostic framing is more common in replies than original broadcast posts, and that social movement organizations focus much more on prognostic and motivational framing than journalists and ordinary citizens.
Social media popularity (SMP) prediction is a complex task involving multi-modal data integration. While pre-trained vision-language models (VLMs) like CLIP have been widely adopted for this task, their effectiveness in capturing the unique characteristics of social media content remains unexplored. This paper critically examines the applicability of CLIP-based features in SMP prediction, focusing on the overlooked phenomenon of semantic inconsistency between images and text in social media posts. Through extensive analysis, we demonstrate that this inconsistency increases with post popularity, challenging the conventional use of VLM features. We provide a comprehensive investigation of semantic inconsistency across different popularity intervals and analyze the impact of VLM feature adaptation on SMP tasks. Our experiments reveal that incorporating inconsistency measures and adapted text features significantly improves model performance, achieving an SRC of 0.729 and an MAE of 1.227. These findings not only enhance SMP prediction accuracy but also provide crucial insights for developing more targeted approaches in social media analysis.
This research aims to describe the religious value in the novel Suluh Rindu by Habiburrahman El Shirazy and its implementation as literature learning material in high school. This type of research uses qualitative descriptive methods. The research data is in the form of quotations of words, phrases, clauses, and sentences containing religious value in the novel Suluh Rindu by Habiburrahman El Shirazy. This study's data source is the novel Suluh Rindu by Habiburrahman El Shirazy, designed with literary content analysis. Data collection techniques are reading, listening, taking notes, and documenting, and data validity using data triangulation. Data analysis techniques use dialectical methods. The results of this study show that the novel Suluh Rindu contains three religious values: creed, worship, and morals. The religious value of this novel can be implemented as literature learning material in high school based on reading and viewing elements with learning outcomes in the form of students being able to express ideas and views based on logical thinking principles from reading various types of texts (non-fiction and fiction) in print and electronic media. Students can appreciate fiction and non-fiction texts.
The background to writing this article was the variety of linguistic phenomena in reduplication used in local print media. This phenomenon is evident in the diversity of types and categories of essential words/primary forms that form reduplication. This research aims to describe the types and categorization of words that form reduplication in local print media. There are three research methods and techniques used in this paper, namely: methods and techniques for providing data; methods and techniques for data analysis; and methods and techniques for presenting data analysis results. In providing data, the observation method is used with basic techniques, tapping techniques, advanced techniques, skillful free-involvement listening techniques, and note-taking techniques. The matching process and the addition method were used to analyze the data. An informal presentation method is used to present the results of data analysis. The population of this study consisted of reduplications used in two local print media, namely the Padang Ekspress and Singgalang newspapers. The research sample was reduplication in the Padang Ekspress and Singgalang newspapers published from January to August 2024. The findings in this research are based on the type of reduplication, there are four types of reduplication used in local print media, namely complete/whole reduplication, partial reduplication, reduplication with a combination of affixes/affixes, and phoneme-changing reduplication. Based on the categories of words that form reduplication, reduplication in local print media is formed by repeating ten categories of essential words/primary forms, namely repetition of basic words/basic forms in the categories of noun (KB), verb (KK), adjective (KS), word numbers (Kbil.), question words (KT), pronouns (KG), demonstrative words (KP), adverbs (adv.), unique morphemes (MU), and words of greeting (KSp).
Manudeep Bhuller, Tarjei Havnes, J. McCauley
et al.
Combining rich data from the Norwegian media market with exogenous variation in the availability and adoption of broadband internet, this paper provides causal evidence on how the internet affected traditional print media. Broadband internet adoption triggered large reductions in print readership and circulation and equally large increases in online news readership. Despite strong substitution from print to online news consumption, newspaper revenues fell dramatically. Newspapers responded to this adverse technology shock along multiple dimensions, including cutting costs by reducing labor inputs and the physical newspaper size and changing the print product available to customers by reducing tabloid content share. (JEL D24, L13, L25, L82, L86, O33)
Stress and depression are prevalent nowadays across people of all ages due to the quick paces of life. People use social media to express their feelings. Thus, social media constitute a valuable form of information for the early detection of stress and depression. Although many research works have been introduced targeting the early recognition of stress and depression, there are still limitations. There have been proposed multi-task learning settings, which use depression and emotion (or figurative language) as the primary and auxiliary tasks respectively. However, although stress is inextricably linked with depression, researchers face these two tasks as two separate tasks. To address these limitations, we present the first study, which exploits two different datasets collected under different conditions, and introduce two multitask learning frameworks, which use depression and stress as the main and auxiliary tasks respectively. Specifically, we use a depression dataset and a stressful dataset including stressful posts from ten subreddits of five domains. In terms of the first approach, each post passes through a shared BERT layer, which is updated by both tasks. Next, two separate BERT encoder layers are exploited, which are updated by each task separately. Regarding the second approach, it consists of shared and task-specific layers weighted by attention fusion networks. We conduct a series of experiments and compare our approaches with existing research initiatives, single-task learning, and transfer learning. Experiments show multiple advantages of our approaches over state-of-the-art ones.
Marcelo Sartori Locatelli, Pedro Calais, Matheus Prado Miranda
et al.
Politicization is a social phenomenon studied by political science characterized by the extent to which ideas and facts are given a political tone. A range of topics, such as climate change, religion and vaccines has been subject to increasing politicization in the media and social media platforms. In this work, we propose a computational method for assessing politicization in online conversations based on topic shifts, i.e., the degree to which people switch topics in online conversations. The intuition is that topic shifts from a non-political topic to politics are a direct measure of politicization -- making something political, and that the more people switch conversations to politics, the more they perceive politics as playing a vital role in their daily lives. A fundamental challenge that must be addressed when one studies politicization in social media is that, a priori, any topic may be politicized. Hence, any keyword-based method or even machine learning approaches that rely on topic labels to classify topics are expensive to run and potentially ineffective. Instead, we learn from a seed of political keywords and use Positive-Unlabeled (PU) Learning to detect political comments in reaction to non-political news articles posted on Twitter, YouTube, and TikTok during the 2022 Brazilian presidential elections. Our findings indicate that all platforms show evidence of politicization as discussion around topics adjacent to politics such as economy, crime and drugs tend to shift to politics. Even the least politicized topics had the rate in which their topics shift to politics increased in the lead up to the elections and after other political events in Brazil -- an evidence of politicization.
A local court judge labelled the Slovenian Prime Minister a “great dictator” on her closed Facebook profile. One of her virtual friends captured a print-screen, propelling the posts into a national scandal. The Disciplinary Court acquitted the judge. The Ethical commission did not pass judgment on her, issuing only non-binding guidelines for public expression of judges on social networks. Nevertheless, the judge suffered significant sanctions. The President of the local court removed her from the leadership position, and she received serious threats and insults by private actors. The case note discusses the broader questions emerging from the case. In relation to which topics can judges express opinions of political nature? Can they expect privacy when they engage in closed social media communication? Which standards should the national authorities employ in assessing these issues? How judges perceive different sanctions and what measures can mitigate the chilling effect such sanctions can create? By analysing both formal and informal responses to the controversial Facebook posts and drawing upon the personal recollections of the affected judge, this case note aims to provide more clarity on the issues relevant way beyond Slovenia.
RA. Ataswarin Oetopo, Ririn Despriliani, Fariz Al Hazmi
The use of natural materials is a creative and innovative process to increase the potential of the surrounding environment, such as the use of natural dyes. As rambutan skin has been rarely used and reported as a natural dye, this study explores its usage on leather. In this study, we applied rambutan skin as a natural dye to tanned leather from goat crust skin using the creative eco-printing method. We used an experimental method with a pre-experiment one-shot case study design. Each sample was dyed at different times using distinct solutions during the mordant process. The solution was made from rambutan skin and different solvents, such as alum (AI2(SO4)3), calcium oxide (Ca(OH)2), and ferrous sulfate (FeSO4). The results show that crust-tanned leather from goat skin can be successfully colored with natural dye from rambutan skin. The more amount of dyes used results in a darker color. In addition, the type of mordant used produces a different color. In the eco-printing process, the background color is influenced by the type of mordant used on the blanket, which serves as a cover for the eco-print process. Meanwhile, the leaves stop the mordant from penetrating the leather and become the source of the motive.
Keywords: natural dyes; rambutan skin; eco-printing; tanned leather
Penerapan pewarna alami dari kulit rambutan dalam kreasi eco printing pada kulit tersamak
Memanfaatkan bahan alam sebagai proses berkreasi adalah salah satu upaya dalam melakukan inovasi untuk meningkatkan potensi lingkungan sekitar, salah satunya melalui penggunaan pewarna alami. Pemanfaatan kulit rambutan sebagai pewarna alami masih terbatas pada media yang digunakan sehingga perlu adanya eksplorasi terhadap bahan lain seperti bahan kulit. Tujuan penelitian ini adalah untuk menerapkan kulit rambutan sebagai pewarna alami yang diterapkan pada bahan kulit kambing tersamak jenis crust dan penerapan pada proses berkreasi eco printing. Metode penelitian yang digunakan adalah metode eksperimen dengan bentuk pre-eksperimen jenis one-shot case study. Setiap sampel dicelup dengan jumlah pencelupan yang berbeda lalu dilakukan proses mordant dengan larutan yang berbeda yaitu tawas (AI2(SO4)3), kapur (Ca(OH)2), dan tunjung (FeSO4). Hasil menunjukkan bahwa kulit kambing tersamak jenis crust dapat diberi warna dengan larutan pewarna alami kulit rambutan. Semakin banyak jumlah pencelupan, maka warna yang dihasilkan semakin pekat dan jenis mordant yang digunakan menghasilkan warna yang berbeda. Dalam proses eco printing, warna pada latar dipengaruhi oleh jenis mordant yang digunakan pada blanket sebagai penutup proses ecoprint dan motif yang dihasilkan berasal dari daun yang merintangi zat mordant masuk ke dalam kulit.
Kata kunci: pewarna alami; kulit rambutan; eco printing; kulit tersamak
Visually complex texts emerge as a response to complicated cosmological, social, or ontological phenomena in reality, and different pre-modern cultures came up with their own unique ways of re-presenting this reality in textual form. Today, with the help of digital media, it becomes possible to discuss visually complex texts from different cultures in a way that facilitates the exchange of research ideas between specialists working with different regions and languages.
Il fenomeno “piattaforme” unisce il “nuovo” all’“antico”, imponendo al giurista riflessioni riguardanti tanto il pianeta dei media tradizionali quanto le dirompenti innovazioni introdotte dal digitale e dall’impiego sempre più diffuso dell’A.I. generativa. Il contributo si propone di censire i problemi di tutela della libertà di parola posti dal nuovo modo interattivo di comunicare, indagando, in particolare, l’estensione dei poteri di content moderation accordati alle piattaforme. Quali ragionevoli limiti (contrattuali, autodisciplinari, da coregolazione) alla libertà di manifestazione del pensiero dell’utente? Quando la comunicazione “non cartacea” è equiparabile alla “stampa” ex art. 21 Cost.? E quali i possibili rimedi contro fake news e comunicazioni improprie, nel rispetto della libertà di espressione? Analoghe questioni sono affrontate, poi, anche con riferimento al fenomeno ChatGPT, in relazione al quale ci si domanda se e quando le comunicazioni robotiche possano essere ricondotte, sotto il profilo delle tutele ad esse accordabili, a “manifestazioni del pensiero”, ovvero a erogazioni di servizio informativo (ovvero a comunicazioni interpersonali ex art. 15 Cost.).
The phenomenon of “platforms” unites the “new” with the “old”, imposing on the jurist reflections concerning both the planet of traditional media and the disruptive innovations introduced by digital and the increasingly widespread use of generative A.I. The contribution proposes to survey the problems of protecting freedom of speech posed by the new interactive way of communicating, investigating, in particular, the extension of the powers of content moderation granted to platforms. What are reasonable limits (contractual, self-regulatory, co-regulatory) to the user's freedom of manifestation of thought? When can “non-print” communication be equated with the “press” under Article 21 of the Italian Constitution? And what are the possible remedies against fake news and improper communications, while respecting freedom of expression? Similar issues are also addressed, then, with reference to the ChatGPT phenomenon, in relation to which the question arises as to whether and when robotic communications can be traced, from the standpoint of the protections accorded to them, to “manifestations of thought” or to information service disbursements (or to interpersonal communications under Article 15 of the Italian Constitution).
Eric Msughter Aondover, Lawal Umar Maradun, Suleiman M. Yar’Adua
The arrival of new media has generated tensions, arguments and debate about the prospects and future of the newspaper industry all over the world. In Northern Nigeria today, media technologies have led to many changes that are seen in the newspaper industry. For instance, technology has broken distance, making communication easier and the information around the world more accessible; it has shrunk both time and space. This situation has generated debates among scholars, about whether the new media technologies would eventually wipe out the conventional media or at least further redefine them. Within this context, this study aims to examine the Mediatization of the net and Internetization of the print media in Northern Nigeria. The study was anchored on the theoretical lens of Diffusion of Innovation Theory. The study adopted the traditional approach of the positivist research design, which informed the choice of survey method, whereby a self-administered questionnaire in the form of a 4-point Likert scale was used to generate data from the study population of 104 journalists working in the selected newspapers, purposive sampling was used to select the newspapers while simple random sampling was used to select the journalists and IBM® SPSS® Statistics was used to analyse the data. Based on the result, the study discovered that new media technologies posed some challenges like inadequate facilities, epileptic internet availability, and inadequate funds for personnel capacity building to the selected newspapers. The study concludes that the need for newspapers to embrace new technologies in content production and news processing is fundamental for the overall success of the print media in Northern Nigeria.
Firmansyah Firmansyah, A. Rachmiatie, S. K.
et al.
In the era of information technology, print media is on the verge of extinction. The Pikiran Rakyat Newspaper, one of the largest local newspapers in West Java, still survives. This study illustrates how print media can survive in the era of digital society. This research uses a sequential explanatory design method by combining quantitative and qualitative data. Quantitative data was collected using a survey to a sample of readers totaling 1540 respondents. The sample was determined using purposive sampling with unique qualifications for potential readers in West Java. Qualitative data using observation, interviews, and FGD. The quantitative results showed that respondents admitted they were still interested in consuming newspapers. Newspapers have advantages over online media; clickbait does not exist. The qualitative results indicate that print media can still survive, not as a source of income but as an icon of the company.
Passenger motor vehicle transport is a significant and growing emissions source contributing to climate change. Switching from internal combustion engines to electric vehicles (EV) would significantly reduce most countries’ emissions, but for many consumers perceived barriers deter EV adoption. Consequently, government policies designed to incentivise a transition to EVs could benefit from consideration of the utility of communication channels such as print media for influencing consumer behaviour. This research explores the role that media and other communication channels writing about EVs play in consumer perceptions and awareness of government-initiated programs and policies to incentivise EV market transition. Using mixed methods of a media review and New Zealand car buyer surveys (questionnaires, interviews) (n = 893), we identified car buyers’ media use to update knowledge about cars, perceptions about EVs, and likelihood to buy, and tested awareness and popularity of incentives. We derive recommendations for policy improvements to accelerate EV uptake, including a significant role for the print media to disseminate relevant information, increase awareness of policies, and shift perceptions about EVs. We argue that social marketing programs should be enhanced to overcome lack of knowledge and misinformation, focusing on the market segment next most likely to buy EVs.
This study explains how effective advertising marketing is in three print media in Mandailing Natal. Several print media such as the Waspada Daily, representatives of the Mandailing Natal bureau and Mohganews, stated that the impact of the Covid 19 outbreak on the effectiveness of advertisements in the print media mentioned above. On the other hand, the print media Madina Post revealed that the Covid 19 pandemic had little impact on the advertisements served through the advertising column in its print media. This study uses the principles of a qualitative approach, using the SOR theory as an acronym for Stimulus-Organism-Response which has an impact on the Covid 19 pandemic outbreak. Namely, humans whose souls include components; attitudes, opinions, behavior, cognition and conation.
Nadja Pernat, Jana Zscheischler, Helge Kampen
et al.
Since 2012, the citizen science project 'Mückenatlas' has been supplementing the German mosquito monitoring programme with over 28,000 submissions of physical insect samples. As the factors triggering people to catch mosquitoes for science are still unknown, we analysed the influence of mass media reports on mosquito submission numbers. Based on a theoretical framework of how mass media affect citizen responsiveness, we identified five possible influencing factors related to citizen science: (i) project awareness and knowledge, (ii) attention (economy), (iii) individual characteristics of citizen scientists and targeted communication, (iv) spatial differences and varying affectedness, and (v) media landscape. Hypotheses based on these influencing factors were quantitatively and qualitatively tested with two datasets: clipping data of mass media reports (online, television, radio and print) referring to or focussing on the 'Mückenatlas', and corresponding data of 'Mückenatlas' submissions between 2014 and 2017. In general, the number of media reports positively affected the number of mosquito submissions on a temporal and spatial scale, i.e. many media reports provoke many mosquito submissions. We found that an already heightened public and media awareness of mosquito-relevant topics combined with a direct call-to-action in a media report title led to a maximum participation. Differences on federal state level, however, suggest that factors additional to quantitative media coverage trigger participation in the 'Mückenatlas', in particular the mosquito affectedness of the resident population. Lastly, media types appear to differ in their effects on the number of submissions. Our results show under which circumstances the media presence of the 'Mückenatlas' is most effective in activating people to submit mosquito samples, and thus provide advice for designing communication strategies for citizen science projects.