Farmers’ adoption of green prevention and control technology in China: does information awareness matter? by Ruifeng Liu, Jian Wang, Mengling Tian, Yefan Nian, Wei Ren, Hengyun Ma, Fei Liang

“…Mechanism analysis shows that farmers’ information awareness affects the adoption of GPCT mainly through social networks. Farmers’ environmental values significantly reinforce the positive influence of information awareness on GPCT adoption. …”
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Detection of Manipulations in Digital Images: A Review of Passive and Active Methods Utilizing Deep Learning by Paweł Duszejko, Tomasz Walczyna, Zbigniew Piotrowski

“…The rapid development of social networks and generative technologies, such as deepfakes, significantly increases the risk of disinformation through image manipulation. …”
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Spatiotemporal characteristics of ICT use among chinese older adults by Mao Yaqian, Kubo Tomoko

“…However, it was the assistance provided by cross-generational social networks, particularly family members, that played a pivotal role in sustaining older adults’ digital participation. …”
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Pond fishing in the Congolese cuvette: a story of fishermen, animals, and water spirits by Marion Comptour, Sophie Caillon, Doyle McKey

“…Yet, the collective nature of this fishery enhances alliances and social networks. Pond fishing is also rooted in beliefs about multiple relationships between humans, fish, crocodiles, and supernatural forces inhabiting the ponds. …”
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Postmortem Analysis of Decayed Online Social Communities: Cascade Pattern Analysis and Prediction by Mohammed Abufouda

“…Recently, many online social networks, such as MySpace, Orkut, and Friendster, have faced inactivity decay of their members, which contributed to the collapse of these networks. …”
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Piracy as counter-hegemony by Tanja Bosch

“…Because of group and familial viewing practices, social networks are solidified and piracy often becomes a form of political bricolage against a perception of racial and class marginalisation. …”
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Trust evaluation model of social internet of things based on implicit social relationship by Hongbin ZHANG, Fan FAN, Dongmei ZHAO, Bin LIU, Yan YIN, Jian LIU

“…The social internet of things （SIoT） is a new paradigm that combines social networks and the internet of things to enhance network scalability and navigability.However, with increased openness and mobility of intelligent objects, there are rising security risks related to information security and reliable service delivery, which poses a significant challenge to the SIoT.Trust is a critical factor in providing secure and reliable services.Therefore, a new trust assessment model was proposed from the perspective of social relationships.A trust transfer algorithm was proposed based on the explicit social relationships and potential features between nodes.The algorithm can tap and establish the implicit social relationships among nodes to solve the SIoT sparsity and cold start problem.Additionally, the social relations were fine-grained and divided to build a single-relationship sub-network.Multiple single-relationship sub-networks were fused to build a multiple-relationship composite network.Thus, the impact of multiple dynamically changing social relationships among nodes on trust evaluation can be effectively fused.The comprehensive trust assessment of intelligent objects was conducted based on three indicators: direct trust, indirect recommendation trust, and service satisfaction.The experimental results on real smart city datasets demonstrate the model’s robustness in non-sparse and sparse network scenarios.It can effectively evaluate trusted and untrusted objects in the network and improve the accuracy and convergence of trust evaluation.…”
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Social communication networks and videoconferencing by Ian Saunderson, Gideon de Wet

“…However, communication management strategies are indeed required to ensure that the quality of information disseminated over the social network contributes to sound managerial outcomes. …”
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Survey on adversarial attacks and defense of face forgery and detection by Shiyu HUANG, Feng YE, Tianqiang HUANG, Wei LI, Liqing HUANG, Haifeng LUO

“…Face forgery and detection has become a research hotspot.Face forgery methods can produce fake face images and videos.Some malicious videos, often targeting celebrities, are widely circulated on social networks, damaging the reputation of victims and causing significant social harm.As a result, it is crucial to develop effective detection methods to identify fake videos.In recent years, deep learning technology has made the task of face forgery and detection more accessible.Deep learning-based face forgery methods can generate highly realistic faces, while deep learning-based fake face detection methods demonstrate higher accuracy compared to traditional approaches.However, it has been shown that deep learning models are vulnerable to adversarial examples, which can lead to a degradation in performance.Consequently, games involving adversarial examples have emerged in the field of face forgery and detection, adding complexity to the original task.Both fakers and detectors now need to consider the adversarial security aspect of their methods.The combination of deep learning methods and adversarial examples is thus the future trend in this research field, particularly with a focus on adversarial attack and defense in face forgery and detection.The concept of face forgery and detection and the current mainstream methods were introduced.Classic adversarial attack and defense methods were reviewed.The application of adversarial attack and defense methods in face forgery and detection was described, and the current research trends were analyzed.Moreover, the challenges of adversarial attack and defense for face forgery and detection were summarized, and future development directions were discussed.…”
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Automatic Identification of Narratives: Evaluation Framework, Annotation Methodology, and Dataset Creation by Jesus M. Fraile-Hernandez, Anselmo Penas, Pablo Moral

“…One of the fundamental components of understanding online discourse in social networks is the identification of narratives. For example, the analysis of disinformation campaigns requires some inference about their communication goals that, in turn, requires the identification of the narratives that they promote. …”
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A fuzzy logic approach for tie strength assessment in relationship management: Design and performance comparison of two implemented fuzzy-based models by Shunya Higashi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli, Fatos Xhafa

“…In an increasingly digitalised and interconnected world, assessing the strength of interpersonal ties in social networks is crucial for fields such as business, marketing and sociology. …”
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MARKETING TRENDS IN THE DATA ECONOMY (2024–2025) by Svetlana V. Koshevenko

“…Marketing development trends depend on many factors: the level of digitalization and digital transformation of the economy, the development of social networks and digital platforms, mobile marketing and the willingness of companies to implement innovations. …”
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Perception et gestion de l’érosion et des ressources en eau par les agriculteurs et les éleveurs du bassin versant de l’ibicuí (RS, Brésil) by Guillaume Leturcq, François Laurent, Rosa Vieira Medeiros

“…How do their reason agricultural practices? In which social networks? Which are the interactions with the government?…”
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Revitalizing rural areas by boosting educational advancement through social capital integration by Marole Nkosikhona Moloi, Sibongamandla Silindokuhle Dlomo

“…Initiatives that effectively mobilize social networks and relationships lead to improved academic performance, social development, and emotional well-being of students. …”
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TRANSFORMATION OF POLITICAL DISCOURSE IN THE CONTEXT OF MEDIATIZATION: CHALLENGES FOR SOCIAL ORDER IN UKRAINE by Руслан ВЕЛИЧКОВСЬКИЙ

“…An in-depth study of the influence of digital technologies and social networks on the transformation of political communication in the context of hybrid threats is suggested. …”
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“Faster, Higher, Stronger – Together”?: the Crisis of the World Sports Movement in the Context of the Pandemic and the Problem of Racism by E. V. Khakhalkina, A. V. Munko

“…The principle of “political correctness” widespread in the West makes it difficult to discuss and deal with historical and colonial traumas, as well as with the crisis in the values of “fair play” in professional sports, caused by its commercialization and politicization.The article concludes that the observed facts stem, among other things, from the revival of the Black Lives Matter movement in the spring of 2020, which spread beyond the borders of the United States, the formation and expansion of the “cancel culture”, as well as the growing influence of social networks and media on world public opinion. The coronavirus pandemic, announced in the spring of 2020, has exacerbated old national problems, and brought to the fore new phenomena in world sports.…”
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CHALLENGES AND OPPORTUNITIES OF DIGITAL INTEGRATION IN MARKETING: A BUSINESS PERSPECTIVE IN EMERGING ECONOMY by Valeri Gagauz

“…The variety of advertising campaigns through social networks highlights the importance of these platforms in modern marketing. …”
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The individual strategies of Internet users’ media activity by O. A. Grimov, V. A. Belkina

“…The article is dedicated to the analyses of actual strategies of Internet users’ media activity in the ecosystem of today’s social media (social networks, blogs, hostings, messengers, mobile applications, etc.). …”
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Image recoloring detection based on inter-channel correlation by Nuo CHEN, Shuren QI, Yushu ZHANG, Mingfu XUE, Zhongyun HUA

“…Image recoloring is an emerging editing technique that can change the color style of an image by modifying pixel values.With the rapid proliferation of social networks and image editing techniques, recolored images have seriously hampered the authenticity of the communicated information.However, there are few works specifically designed for image recoloring.Existing recoloring detection methods still have much improvement space in conventional recoloring scenarios and are ineffective in dealing with hand-crafted recolored images.For this purpose, a recolored image detection method based on inter-channel correlation was proposed for conventional recoloring and hand-crafted recoloring scenarios.Based on the phenomenon that there were significant disparities between camera imaging and recolored image generation methods, the hypothesis that recoloring operations might destroy the inter-channel correlation of natural images was proposed.The numerical analysis demonstrated that the inter-channel correlation disparities can be used as an important discriminative metric to distinguish between recolored images and natural images.Based on such new prior knowledge, the proposed method obtained the inter-channel correlation feature set of the image.The feature set was extracted from the channel co-occurrence matrix of the first-order differential residuals of the differential image.In addition, three detection scenarios were assumed based on practical situations, including scenarios with matching and mismatching between training-testing data, and scenario with hand-crafted recoloring.Experimental results show that the proposed method can accurately identify recolored images and outperforms existing methods in all three hypothetical scenarios, achieving state-of-the-art detection accuracy.In addition, the proposed method is less dependent on the amount of training data and can achieve fairly accurate prediction results with limited training data.…”
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Large Language Models Powered Aspect-Based Sentiment Analysis for Enhanced Customer Insights by Mariana Água, Nuno Antonio, Marco P. Carrasco, Carimo Rassal

“…In the age of social networks, user-generated content has become vital for organizations in tourism and hospitality. …”
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