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Journal articles on the topic 'Sociala media filter'

Author: Grafiati

Published: 25 June 2021

Last updated: 29 July 2025

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1

Shcherbakova, Olena, and Svitlana Nikiforchuk. "SOCIAL MEDIA AND FILTER BUBBLES." Scientific Journal of Polonia University 54, no. 5 (2022): 81–88. http://dx.doi.org/10.23856/5411.

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The aim of this paper is to analyze the media bubbles and media footprint in social medias. The authors reflect the ways numerous online hubs are personalizing the Internet for their users, so people have media bubbles as an effect when the algorithms of social networks and search engines personally select what posts and links to show. The information bubble is related to the peculiarities of the cognitive activity. People choose information that supports their point of view and isolate what will confirm their opinion from the whole array of facts and information, a “Confirmation Bias”. Turnin

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El-kssiri, Maryam, and Youssouf Amine Elalamy. "Social Media Filtered Images as Carnivalesque Resistance." International Journal of Linguistics, Literature and Translation 7, no. 4 (2024): 66–70. http://dx.doi.org/10.32996/ijllt.2024.7.4.8.

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A great many may perceive social media filters or lenses as ridiculous and filtering selfies as an act of sheer vanity or blind imitation of glamorous social media influencers. However, from within this pervasive contemporary digital phenomenon, resistance to dominant representations or subversion of societal expectations can be discerned. In other words, filters and filtered self-images are by no means simply and exclusively reproductions of socially idealized beauty standards and pre-existing cultural norms. Some filtered representations often disrupt the effect of the bandwagon from within,

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Zhang, Di, Syed Agil Alsagoff, Megat Al Imran Yasin, and Siti Aishah Muhammad Razi. "To Explore the Influence of AR-Filtered Selfies on Impression Management in Users' Intrapersonal Communication Under Computer-Mediated Communication (CMC)." Studies in Media and Communication 12, no. 1 (2024): 298. http://dx.doi.org/10.11114/smc.v12i1.6575.

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Selfies are increasingly being shared on social media. On the basis of selfies, traditional beauty filters only finish tasks like whitening and face-lifting. However, with the introduction of augmented reality technology into selfie filters, more and more virtual impressions are presented, causing new influences on social media.This paper explores the influence of AR filters on the impressions management of selfie under Computer Mediad Communication (CMC) from the perspective of Goffman's (1959) dramaturgical theory. This study adopts a qualitative phenomenological research paradigm. Data were

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Triantoro, Dony Arung, and M. Agung Pramana. "Digital Identities and Aesthetic Expression: Uncovering Young Indonesians Argumentation in Filter Usage on Social Media." CHANNEL: Jurnal Komunikasi 12, no. 1 (2024): 37–47. http://dx.doi.org/10.12928/channel.v12i1.724.

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This study delves into the diverse motivations and impacts of Instagram filter usage among young Indonesians, focusing on how these digital tools influence selfrepresentation and social interaction within the digital sphere. While Instagram filters are traditionally viewed as aesthetic enhancements, this research highlights their broader roles, including entertainment, education, and personal branding. Utilizing a qualitative approach, this paper collects data through interviews and netnography, employing snowball sampling to gather in-depth insights from eight young Instagram users. Findings

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Alfi Syakir, Muhammad, Shafira Ayu Maharani, Yobelio Ekaharja Putra, Putu Wuri Handayani, and Sali Rahadi Asih. "The Influence of Augmented Reality Face Filter Addiction on Online Social Anxiety: A Stimulus-Organism-Response Perspective." Interdisciplinary Journal of Information, Knowledge, and Management 19 (2024): 007. http://dx.doi.org/10.28945/5269.

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Aim/Purpose: This study aims to analyze the factors that influence user addiction to AR face filters in social network applications and their impact on the online social anxiety of users in Indonesia. Background: To date, social media users have started to use augmented reality (AR) face filters. However, AR face filters have the potential to create positive and negative effects for social media users. The study combines the Big Five Model (BFM), Sense of Virtual Community (SVOC), and Stimuli, Organism, and Response (SOR) frameworks. We adopted the SOR theory by involving the personality facto

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Ramadhan, Shofyan Hadi. "Augmented Reality Empowered Responsible Tourism: Leveraging Social Media Applications for Generation Z Tourists in the Yogyakarta." International Journal of Green Tourism Research and Applications 6, no. 1 (2024): 1–7. http://dx.doi.org/10.31940/ijogtra.v6i1.1-7.

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This research delves into the integration of augmented reality (AR) technology through Instagram filters to enhance responsible tourism practices. With a specific focus on Generation Z tourists in the Yogyakarta Special District, we recognize the importance of collective action in shaping the future of tourism. Despite the government's continuous efforts, responsible tourism implementation faces challenges, leading to cultural and environmental issues due to the increasing number of tourists. Leveraging the preferences and influence of Generation Z, this study proposes the application of AR th

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Hermans, Anne-Mette, Sophie C. Boerman, and Jolanda Veldhuis. "Follow, filter, filler? Social media usage and cosmetic procedure intention, acceptance, and normalization among young adults." Body Image 43 (December 2022): 440–49. http://dx.doi.org/10.1016/j.bodyim.2022.10.004.

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Werner, Roman Alejandro, Alexander Michael Hummel, Dominik Ulrich Geier, and Thomas Becker. "Investigations on Backflush Cleaning of Spent Grain-Contaminated Filter Cloths Using Continuous and Pulsed Jets." Foods 11, no. 12 (2022): 1757. http://dx.doi.org/10.3390/foods11121757.

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This study investigated the continuous and pulsed backflush cleaning of woven fabrics that act as filter media in the food and beverage industry. Especially in breweries, they are commonly used in mash filters to separate solid spent grains from liquid wort. After filtration, the removal of such cereal residues via self-discharge is necessary. However, this filter cake discharge is typically incomplete, and various spots remain contaminated. In addition to the reduced filter performance of subsequent batches, cross-contamination risk increases significantly. A reproducible contamination method

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Wang, Junzhang, Diwen Xue, and Karen Shi. "An Ensemble Framework for Spam Detection on Social Media Platforms." International Journal of Machine Learning and Computing 11, no. 1 (2021): 77–84. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1017.

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As various review sites grow in popularity and begin to hold more sway in consumer preferences, spam detection has become a burgeoning field of research. While there have been various attempts to resolve the issue of spam on the open web, specifically as it relates to reviews, there does not yet exist an adaptive and robust framework out there today. We attempt to address this issue in a domain-specific manner, choosing to apply it to Yelp.com first. We believe that while certain processes do exist to filter out spam reviews for Yelp, we have a comprehensive framework that can be extended to o

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AlShehri, Bashayer, Aljawhra Alotaibi, Hind Alqhtani, Alaa AlAli, and Heba Kurdi. "A Mobile Platform for Social Media Filters." Procedia Computer Science 170 (2020): 297–302. http://dx.doi.org/10.1016/j.procs.2020.03.043.

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Steinbaugh, Adam. "Social media filters risk First Amendment scrutiny." Campus Legal Advisor 21, no. 1 (2020): 1–3. http://dx.doi.org/10.1002/cala.40313.

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Shekhar, Dr Rashmi. "Impact of Social Media Algorithms on Public Decision." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48984.

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Abstract: This research paper explores the profound impact of social media algorithms on public decision-making in the digital age. With the increasing reliance on social media platforms for information, these algorithms play a central role in curating personalized content that influences users' beliefs, preferences, and decisions. By examining the mechanisms of social media algorithms, the paper delves into their effect on shaping public opinion, political discourse, social movements, and consumer behaviour. It highlights the phenomenon of the "filter bubble," where exposure to a narrow range

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Mah, Pascal Muam, Iwona Skalna, and Tomasz Pelech-Pilichowski. "AI-Based Facial-Age Detection and IoT for Enhanced Data Security in Social Media." Proceedings of the AAAI Symposium Series 5, no. 1 (2025): 242–49. https://doi.org/10.1609/aaaiss.v5i1.35594.

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Introduction: The growth of social media and the increased teenage interactions have raised concerns about data security and user authentication. IoT and RFID advancements, coupled with AI, have tripled data collection and transmission, increasing risks of privacy breaches and unauthorized access. Aim: This study aims to develop an AI-driven Facial-Age Detection and social media content segmentation system integrated with IoT, RFID, and GPS to enhance social media security and prevent unauthorized access by underage users and fraudsters. Problem: Data security issues arise from uncontrolled ne

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Li, Shugang, Ru Wang, Yuqi Zhang, Hanyu Lu, Nannan Cai, and Zhaoxu Yu. "Potential social media influencers discrimination for concept marketing in online brand community." Journal of Intelligent & Fuzzy Systems 41, no. 1 (2021): 317–29. http://dx.doi.org/10.3233/jifs-201809.

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Identifying potential social media influencers (SMIs) accurately can achieve a long-time and effective concept marketing at a lower cost, and then promote the development of the corporate brand in online communities. However, potential SMIs discrimination often faces the problem of insufficient available information of the long-term evolution of the network, and the existing discriminant methods based on link analysis fail to obtain more accurate results. To fill this gap, a consensus smart discriminant algorithm (CSDA) is proposed to identify the potential SMIs with the aid of attention conce

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Min, Yong, Tingjun Jiang, Cheng Jin, Qu Li, and Xiaogang Jin. "Endogenetic structure of filter bubble in social networks." Royal Society Open Science 6, no. 11 (2019): 190868. http://dx.doi.org/10.1098/rsos.190868.

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The filter bubble is an intermediate structure to provoke polarization and echo chambers in social networks, and it has become one of today's most urgent issues for social media. Previous studies usually equated filter bubbles with community structures and emphasized this exogenous isolation effect, but there is a lack of full discussion of the internal organization of filter bubbles. Here, we design an experiment for analysing filter bubbles taking advantage of social bots. We deployed 128 bots to Weibo (the largest microblogging network in China), and each bot consumed a specific topic (ente

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El-kssiri, Maryam, and Youssouf Amine Elalamy. "Social Media Filters and the Vestiges of the Psyche." International Journal of Linguistics, Literature and Translation 7, no. 9 (2024): 48–55. http://dx.doi.org/10.32996/ijllt.2024.7.9.6.

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Over the past decade, social media filters have become a pervasive visual phenomenon. Filtered selfies with conspicuous animal features or flawless makeup have flooded social media platforms. In this study, it is argued that the massive popularity of these social media filters is not ungrounded. Instead, these viral filters have their origins in ancient or even pre-historic times. Approaching this phenomenon from an anthropological perspective, social media animal filters are traced as far back as classical mythology and folklore tales of human-animal hybrids. Makeup filters are similarly link

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Shamsi, Mohd Salman, and Arif Abad. "Creating Purchase Intention through Social Media: The use of AR enabled Social Media Filters." JOURNAL OF CONTENT COMMUNITY AND COMMUNICATION 17, no. 9 (2023): 46–62. http://dx.doi.org/10.31620/jccc.06.23/05.

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Since the advent of humans on this planet, communication has been a key for transferring ideas, information, and knowledge. Communication has been identified as a crucial element in the advancement of human civilization (Heintz & Scott-Phillips, 2023). However, communication channels have been used differently in different times, places, and situations. The impact of communication is significantly affected by the channels employed to convey information (Murphy et al., 1997). The efficiency of information delivery and reception is contingent upon the mode of communication employed (Ren &amp

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Raveendhran, Nareshkumar, and Nimala Krishnan. "A novel hybrid SMOTE oversampling approach for balancing class distribution on social media text." Bulletin of Electrical Engineering and Informatics 14, no. 1 (2025): 638–46. http://dx.doi.org/10.11591/eei.v14i1.8380.

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Depression is a frequent and dangerous medical disorder that has an unhealthy effect on how a person feels, thinks, and acts. Depression is also quite prevalent. Early detection and treatment of depression may avoid painful and perhaps life-threatening symptoms. An imbalance in the data creates several challenges. Consequently, the majority learners will have biases against the class that constitutes the majority and, in extreme situations, may completely dismiss the class that constitutes the minority. For decades, class disparity research has employed traditional machine learning methods. In

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AlHadlaq, Abdulmajeed, Saud Almudarra, and Abdullah Almeziny. "The Use of Augmented Reality Social Media Filters and Inter¬est to Pursue Aesthetic Procedures: Is There A Link?" Majmaah Journal of Health Sciences 12, no. 1 (2024): 118. http://dx.doi.org/10.5455/mjhs.2024.01.011.

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Background and Aims: Social media plays a critical role in the way people perceive beauty standards. Through filtered photos and augmented reality, people are exposed to idealized images of beauty that can influence their desire to pursue cosmetic surgery. There is no scientific evidence to support the claim that social media is directly responsible for the increasing number of people seeking cosmetic surgery, but the trend is worth observing. The aim of this study was to assess the effect of augmented reality social media filters on users’ pursuit of aesthetic procedures Methods: This cross-s

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Januškevičiūtė, Justina. "Threats to the Process of Receiving Political News from Echo Chambers and Filter Bubbles on Social Media." Information & Media 94 (June 22, 2022): 39–52. http://dx.doi.org/10.15388/im.2022.94.64.

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The intensified selective exposure of political news on social media, personalization of the news receiving process, and emerging new information phenomena, such as filter bubbles and echo chambers, call for a rethink of the role of new digital media in a democratic society. This article analyzes the possible influence of new information phenomena on social media - information wells and filter bubbles - in receiving political news. The mechanisms and conditions of the formation of echo chambers and filter bubbles in social media are discussed in detail, and results of research conducted to dat

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Grace, Rob, Jess Kropczynski, Scott Pezanowski, Shane Halse, Prasanna Umar, and Andrea Tapia. "Enhancing Emergency Communication With Social Media." International Journal of Information Systems for Crisis Response and Management 10, no. 3 (2018): 20–41. http://dx.doi.org/10.4018/ijiscram.2018070102.

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Local social media users share and access critical information before, during, and after emergencies. However, existing methods can identify local social media users only after an emergency has occurred, and only then discover a small proportion of users sharing information in a geographic area. To address these limitations, we introduce the method of Social Triangulation to identify local social media users who access community information before an emergency in order to develop emergency communications strategies that contribute to community resilience. Social Triangulation identifies local

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Yonatha Wijaya, Komang Dhiyo, and Anak Agung Istri Ngurah Eka Karyawati. "The Effects of Different Kernels in SVM Sentiment Analysis on Mass Social Distancing." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 9, no. 2 (2020): 161. http://dx.doi.org/10.24843/jlk.2020.v09.i02.p01.

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During this pandemic, social media has become a major need as a means of communication. One of the social medias used is Twitter by using messages referred to as tweets. Indonesia currently undergoing mass social distancing. During this time most people use social media in order to spend their idle time However, sometimes, this result in negative sentiment that used to insult and aimed at an individual or group. To filter that kind of tweets, a sentiment analysis was performed with SVM and 3 different kernel method. Tweets are labelled into 3 classes of positive, neutral, and negative. The exp

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Mamidisetti, Gowtham, Ranganath Ponnaboyina, and Ramesh Makala. "An Efficient Image Compression Using Pixel Filter for Social media applications." International Journal of Innovative Computing and Applications 13, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijica.2021.10040323.

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Makala, Ramesh, Ranganath Ponnaboyina, and Gowtham Mamidisetti. "An efficient image compression using pixel filter for social media applications." International Journal of Innovative Computing and Applications 13, no. 1 (2022): 27. http://dx.doi.org/10.1504/ijica.2022.121386.

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BUFNEA, Iancu-Marius. "THE TERRORIST PHENOMENON, SOCIAL MEDIA AND THE INTERNET. SOCIAL AND PSYCHOLOGICAL IMPLICATIONS." Strategic Impact 3, no. 92 (2025): 29–39. https://doi.org/10.53477/1842-9904-24-16.

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The paper examines how terrorism uses social media and the internet, exploring the social and psychological implications of these modern media. Starting with an assessment of migration from print to online media, the paper highlights the particular impact of social networks, such as Facebook and X (e.g. Twitter), in the dissemination of terrorist information and propaganda. The study highlights cases such as that of ISIS, which used the online space to recruit thousands of individuals from around the world. The paper also explores the concept of “filter bubbles” through which social media algo

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Shivaram, Karthik, Mustafa Bilgic, Matthew Shapiro, and Aron Culotta. "Forecasting Political News Engagement on Social Media." Proceedings of the International AAAI Conference on Web and Social Media 18 (May 28, 2024): 1451–62. http://dx.doi.org/10.1609/icwsm.v18i1.31401.

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Understanding how political news consumption changes over time can provide insights into issues such as hyperpartisanship, filter bubbles, and misinformation. To investigate long-term trends of news consumption, we curate a collection of over 60M tweets from politically engaged users over seven years, annotating ~10% with mentions of news outlets and their political leaning. We then train a neural network to forecast the political lean of news articles Twitter users will engage with, considering both past news engagements as well as tweet content. Using the learned representation of this model

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Otieno, Polycarp. "The Impact of Social Media on Political Polarization." Journal of Communication 4, no. 1 (2024): 56–68. http://dx.doi.org/10.47941/jcomm.1686.

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Purpose: The main objective of this study was to explore the impact of social media on political polarization. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This seco

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Puteri, Siti Azizah. "ALPHA GENERATION PERSPECTIVE ON THE USE OF TECHNOLOGY IN FILTERING ACTUAL INFORMATION THROUGH SOCIAL MEDIA." PRIMACY Journal of English Education and Literacy 2, no. 1 (2024): 41–53. http://dx.doi.org/10.33592/primacy.v2i1.3535.

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This study aims to analyze the Alpha Generation's perspective on the use of technology to filter actual information through social media. Generation Alpha refers to individuals born between 2010 and 2025, who grow up and live in an increasingly connected digital age. In an information-abundant environment, it is important to understand how these young people use technology to access and filter current information. This study uses narrative inquiry. This research was conducted with 3 participants, with an average age of 13-15 years. This research is expected to be able to examine the perspectiv

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Postill, John. "Populism and social media: a global perspective." Media, Culture & Society 40, no. 5 (2018): 754–65. http://dx.doi.org/10.1177/0163443718772186.

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The link between the spread of social media and the recent surge of populism around the world remains elusive. A global, rather than Western, theory is required to explore this connection. Such a theory would need to pay particular attention to five questions, namely, the roots of populism, ideology and populism, the rise of theocratic populism, social media and non-populist politicians, and the embedding of social media in larger systems of communication. In this essay, I draw from a range of cross-cultural examples to argue that social media are inextricable from a dense web of highly divers

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Paxton, Susan J., Siân A. McLean, and Rachel F. Rodgers. "“My critical filter buffers your app filter”: Social media literacy as a protective factor for body image." Body Image 40 (March 2022): 158–64. http://dx.doi.org/10.1016/j.bodyim.2021.12.009.

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Arya, Ajay, Rohan Gupta, Samarth Kaushik, Ayush Chaudhary, and Hemant Kumar Baranval. "Social Media Platform for Complaints." International Journal of Science and Social Science Research 3, no. 1 (2025): 11–17. https://doi.org/10.5281/zenodo.15132750.

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In the modern digital landscape, social media plays a crucial role in public discourse. However, there is no dedicated and secure platform solely designed for efficiently addressing complaints and grievances. The Social Media Platform for Complaints (SMPC) aims to bridge this gap by providing a structured, transparent, and secure space where individuals, consumers, and organizations can raise issues, seek resolutions, and engage with relevant authorities. This platform ensures a safe environment by eliminating spam, misinformation, harassment, and unauthorized content while prioritizing user p

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Chen, Qian. "Digital Technology Age: Images and Filters in Relation to Self-Representation on Social Media." Journal of New Media and Economics 1, no. 3 (2024): 45–47. http://dx.doi.org/10.62517/jnme.202410309.

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This essay will deal with the following aspects of the question that explore the implications of the development of digital images and filters for the social media and software, how people's self-presence reflects images and filters on social media and technology photo editing tools, and explore the self-representation related and determined by images and selfies.

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Varman, Rahul M., Nicole Van Spronsen, Mia Ivos, and Joshua Demke. "Social Media Filter Use and Interest to Pursue Cosmetic Facial Plastic Procedures." American Journal of Cosmetic Surgery 38, no. 3 (2021): 181–86. http://dx.doi.org/10.1177/0748806820985751.

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Our aim was to explore the effect of social media face-altering programs on desire for subsequent facial plastic procedures. This was a cross-sectional survey study in two cities, incorporating participants ages 18 to 29 in undergraduate and graduate programs. Demographic and social media–specific factors were descriptively and quantitatively analyzed. Total respondents were n = 398. The use of face-enhancing Instagram filters was associated with subsequent desire to undergo facial plastic procedures (chi-square = 5.04, p < .05). History of prior psychiatric diagnosis was also independently

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Harika, Maisevli, Setiadi Rachmat, Nurul Dewi Aulia, Zulfa Audina Dwi, and Vandha Pradwiyasma Widartha. "AR Make-up Filter for Social Media using the HSV Color Extraction." Jurnal Online Informatika 7, no. 2 (2022): 251–57. http://dx.doi.org/10.15575/join.v7i2.994.

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Choosing the appropriate cosmetics is an arduous task. Because cosmetics are tested directly on the skin to ensure each personâ€™s preferences are met. The consumer repeatedly tries a sample and then discards it until he discovers one that meets his tastes. The cosmetics business and consumers are affected by this move. Companies can utilize Augmented Reality (AR) technology as an alternative to mass-producing cosmetic samples. The difficulty of deploying augmented reality is the difficulty of putting cosmetics into camera video streams. Each individual bears the burden of skin color and its e

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Papp, János Tamás. "Recontextualizing the Role of Social Media in the Formation of Filter Bubbles." Hungarian Yearbook of International Law and European Law 11, no. 1 (2023): 136–50. http://dx.doi.org/10.5553/hyiel/266627012023011001012.

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Januar Ali, Denny, and Eriyanto Eriyanto. "Political Polarization and Selective Exposure of Social Media Users in Indonesia." Jurnal Ilmu Sosial dan Ilmu Politik 24, no. 3 (2021): 268. http://dx.doi.org/10.22146/jsp.58199.

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This study is intended to answer the question of how political polarization is related to social media users’ posts about Covid-19. The researchers chose health cases related to Covid-19 instead of political issues (e.g. elections) to prove that this political polarization has spread to many areas. The research also wants to see the relationship between this political polarization and selective exposure. Theories applied in this study are polarization, filter bubble, and selective exposure. The study applied two methods: social media network analysis and content analysis. The network analysis

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Fohringer, J., D. Dransch, H. Kreibich, and K. Schröter. "Social media as an information source for rapid flood inundation mapping." Natural Hazards and Earth System Sciences Discussions 3, no. 7 (2015): 4231–64. http://dx.doi.org/10.5194/nhessd-3-4231-2015.

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Abstract. During and shortly after a disaster data about the hazard and its consequences are scarce and not readily available. Information provided by eye-witnesses via social media are a valuable information source, which should be explored in a more effective way. This research proposes a methodology that leverages social media content to support rapid inundation mapping, including inundation extent and water depth in case of floods. The novelty of this approach is the utilization of quantitative data that are derived from photos from eye-witnesses extracted from social media posts and its i

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Nazarov, M. M. "Media Platforms and Algorithms: content and social implications." Communicology 8, no. 2 (2020): 108–24. http://dx.doi.org/10.21453/2311-3065-2020-8-2-108-124.

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The paper considers the new features of the digital media environment associated with the widespread introduction of platforms and algorithms in media practices and reveals the technological, business and social background of these innovations. The application of platforms and algorithms is a powerful tool for implementing the commercial imperative in the media. In general, this is a characteristic feature of the development of modern society – a trend towards comprehensive metrization. Along with the advantages, the use of predictive algorithms, personalization of content based on tracking of

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Engel, Samantha, and Linda Lee-Davies. "The Impact of Social Media on Knowledge Culture." International Journal of Smart Education and Urban Society 10, no. 1 (2019): 37–48. http://dx.doi.org/10.4018/ijseus.2019010104.

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Culture is not static and technological innovations have greatly changed culture throughout history, no more so than in recent years. Modern culture is very much influenced and defined by recent technology and media use, primarily through social media applications such as Facebook, Instagram, LinkedIn, Snapchat and Twitter. Although use and impact vary around the world, globalization brings this cultural change into wider and faster channels. Social media has transformed the way people interact and learn in local, national and international terms as well as evolving new social practices. Echo

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Ladeiras-Lopes, Ricardo, Lavinia Baciu, Julia Grapsa, et al. "Social media in cardiovascular medicine: a contemporary review." European Heart Journal - Digital Health 1, no. 1 (2020): 10–19. http://dx.doi.org/10.1093/ehjdh/ztaa004.

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Abstract Social media increasingly impact both the private and professional lives of the majority of the population, including individuals engaged in cardiovascular healthcare and research. Healthcare providers across the world use social media platforms such as Twitter or Facebook to find medical and scientific information, to follow scientific meetings, to discuss individual clinical cases with colleagues, and to engage with patients. While social media provide a means for fast, interactive and accessible communication without geographic boundaries, their use to obtain and disseminate inform

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Ninkovic-Slavnic, Danka, and Snjezana Milivojevic. "Social media users’ concerns regarding algorithmic news personalisation." Sociologija 65, no. 3 (2023): 435–57. http://dx.doi.org/10.2298/soc2303435n.

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The paper asks if social media users are concerned regarding algorithmic news personalisation and how their concerns connect with other factors. We took the influential concepts of echo chambers and filter bubbles as a starting point to explore three dimensions of concern about news personalisation: missing important information, missing opposite opinions and jeopardizing privacy because of personalised news. The survey among social media news users (N=1481) shows that concern exists, but more than a third of users do not have an evident attitude regarding news personalisation. Additionally, t

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Adel, Noha. "Social media filters: New face seeking and first meeting shock." المجلة العلمية لبحوث الإذاعة والتلفزيون 2024, no. 29 (2024): 1–26. http://dx.doi.org/10.21608/ejsrt.2024.377225.

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Bostanica, Elena, Elena Goga, and Mihai Orzan. "Exploring Barriers to Adoption of AR filters on Social Media." Ovidius University Annals. Economic Sciences Series 23, no. 1 (2023): 570–76. http://dx.doi.org/10.61801/ouaess.2023.1.74.

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Singh, Prabhsimran, Karanjeet Singh Kahlon, Ravinder Singh Sawhney, Rajan Vohra, and Sukhmanjit Kaur. "Social media buzz created by #nanotechnology: insights from Twitter analytics." Nanotechnology Reviews 7, no. 6 (2018): 521–28. http://dx.doi.org/10.1515/ntrev-2018-0053.

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AbstractThe word “nanotechnology” has been exaggerated not only by media but also by scientist groups who have overstated the unforeseen benefits of nanotechnology to validate research funding. Even ecologists, who normally remain indulged in doom-and-gloom divinations, use this word to fuel their own motives. Such outcomes lead to widespread misinformation and an unaware public. This research work is a staunch effort to filter the Twitter-based public opinions related to this word. Our results clearly indicate more of positive sentiments attached to the subject of nanotechnology, as trust, an

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V, Akhramovych, Shuklin G, Pepa Y, et al. "Methodology for Calculating the Index of Protection of a Social Media from its Centrality." International Journal of Emerging Technology and Advanced Engineering 13, no. 4 (2023): 17–25. http://dx.doi.org/10.46338/ijetae0423_03.

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At present, there are no quantitative studies of the dependence of the index of protection of personal data of actors in social medias on the parameters of its centrality, so this article presents the results of such researches in this area. Since the system of information protection of a social media network is nonlinear and depends on the parameters of a specific indicator of its centrality, mathematical equations have been developed to study the quantitative indicators of such a system, and the stability of the system has been investigated, which is graphically illustrated. The results obta

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Triana, Rinanda, Nurdin Hidayah, and Daeng Noerdjamal. "RANCANGAN PENGELOLAAN SOCIAL MEDIA MARKETING ENGAGEMENT." Jurnal IPTA 9, no. 1 (2021): 188. http://dx.doi.org/10.24843/ipta.2021.v09.i01.p19.

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This research intends to designed the engagement management of facebook and instagram of Management Unit of Jakarta Historical Museums formed by 3 major elements in managing social media interactions namely creator-related features, contextual features, and content features. This study used kualitatif method with descriptive approach by conducting interviews with companies and visitors, also observation on their social media. Which the results be analyzed using the Miles and Huberman analysis model and tested the validity of the data using source triangulation technique. The results of this re

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Fohringer, J., D. Dransch, H. Kreibich, and K. Schröter. "Social media as an information source for rapid flood inundation mapping." Natural Hazards and Earth System Sciences 15, no. 12 (2015): 2725–38. http://dx.doi.org/10.5194/nhess-15-2725-2015.

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Abstract. During and shortly after a disaster, data about the hazard and its consequences are scarce and not readily available. Information provided by eyewitnesses via social media is a valuable information source, which should be explored in a~more effective way. This research proposes a methodology that leverages social media content to support rapid inundation mapping, including inundation extent and water depth in the case of floods. The novelty of this approach is the utilization of quantitative data that are derived from photos from eyewitnesses extracted from social media posts and the

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Muhammed Jouhar K. K. and K. Aravinthan. "A bigdata analytics method for social media behavioral analysis." Scientific Temper 15, no. 03 (2024): 2692–99. http://dx.doi.org/10.58414/scientifictemper.2024.15.3.37.

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Twitter on web-based entertainment has become an important part of everyday life. This medium provides a list of current events in real time, most of which is difficult to understand, so it must be sorted to find useful information. Human biology, pharmacology, and experimental factors influence their behavior. Twitter tweets are a text store that can reflect human emotions and sentiments. Behavior Analytics (BA) is analyzing the behavior of individuals. BA can be used to filter useful information from tweets in healthcare and business applications. This paper presents the analysis of human be

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Ramadhani, Syaira Zhieka, Sabrina Cahyati Nasution, Novita Dwi Adriani, Rangga Muriansyah Daulay, and Sri Hajijah Purba. "THE ROLE OF SOCIAL MEDIA IN INCREASING PUBLIC HEALTH AWARENESS." Abdi Dosen : Jurnal Pengabdian Pada Masyarakat 8, no. 4 (2024): 1596–602. https://doi.org/10.32832/abdidos.v8i4.2488.

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This study highlights the role of social media in enhancing health awareness among the community. Based on a systematic literature review, this research analyzes the current situation where social media serves as a primary platform for disseminating health information. However, issues such as the spread of inaccurate information and hoaxes can mislead the public. The proposed solutions include digital literacy education for the community to better filter information, as well as collaboration with health professionals and relevant institutions to provide valid health content. The conclusion of

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Nimensky, A. V., and A. D. Gerasimov. "Antinomies of digitalization and visualization in the contemporary mass culture." RUDN Journal of Sociology 23, no. 4 (2023): 932–38. http://dx.doi.org/10.22363/2313-2272-2023-23-4-932-938.

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The article is a review of two books that differently assess the processes and results of informatization, networkization and digitalization of the mass society, which have given rise to many phenomena that are antinomic in nature, primarily due to the interweaving positive and negative consequences for social interaction. In the first book - Post-Truth or Fake: The Issue of Truth in Social Media (Saint Petersburg: Vladimir Dal; 2023. 303 p.) - N.A. Rhodossky conducts a ‘retrospective analysis’ of the concept and role of the media in “the development of philosophy of cyberculture”; the book is

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