Relevant bibliographies by topics / Fake user

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Fake user'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Fake user"

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Ferrari, Elisabetta. "Sincerely Fake: Exploring User-Generated Political Fakes and Networked Publics." Social Media + Society 6, no. 4 (2020): 205630512096382. http://dx.doi.org/10.1177/2056305120963824.

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This article investigates user-generated political satire, focusing in particular on one genre: fake political accounts. Such fakes, created as social media profiles, satirize politicians or political organizations by impersonating them. Through interviews with a sample of Italian fake accounts creators, I explore how the fakes navigate their fakeness vis-à-vis the affordances of social network sites and their publics. First, I map how the publics of the fake accounts react to the satire along two axes: one referring to the public’s understanding of the satire and the other to the uses that th
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Ms., Dilna e. p1 Ms. Maneesha Manoj2 Ms. Jiji c. j3 Ms. Jeena c. j. 4. Ms. Hrudhya k. p5. "FAKE FACE IDENTIFICATION." International Journal of Advances in Engineering & Scientific Research, ISSN: 2349 –3607 (Online) , ISSN: 2349 –4824 (Print) Vol.4,, Issue 1, Jan-2017, (2017): pp 40–48. https://doi.org/10.5281/zenodo.242479.

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<strong>Abstract: </strong> <strong>Objective-</strong> Automatic face recognition is now widely used in applications ranging from de-duplication of identity to authentication of mobile payment. This popularity of face recognition has raised concerns about face spoof attacks (also known as biometric sensor presentation attacks), where a photo or video of an authorized person’s face could be used to gain access to facilities or services. While a number of face spoof detection techniques have been proposed, their generalization ability has not been adequately addressed. We propose an efficient a
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Ms., Dilna e. p1, Maneesha Manoj2 Ms., Jiji c. j3 Ms., Jeena c. j. Ms., and Hrudhya k. p5 Ms. "FAKE FACE IDENTIFICATION." International Journal of Advances in Engineering & Scientific Research 4, no. 1 (2017): 40–48. https://doi.org/10.5281/zenodo.10774726.

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<strong>Abstract: </strong> &nbsp; <strong>Objective-</strong> Automatic face recognition is now widely used in applications ranging from de-duplication of identity to authentication of mobile payment. This popularity of face recognition has raised concerns about face spoof attacks (also known as biometric sensor presentation attacks), where a photo or video of an authorized person&rsquo;s face could be used to gain access to facilities or services. While a number of face spoof detection techniques have been proposed, their generalization ability has not been adequately addressed. We propose a
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M B, Ranjan. "Detection of Face Swapped Deep Fake Videos." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47643.

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ABSTRACT The Deepfake Detector is a novel application designed to enhance digital media integrity by identifying manipulated videos. This project centers on the creation and deployment of an advanced system that continuously analyzes uploaded video content to detect deepfakes. The system employs a deep learning model trained on real and fake video data, utilizing facial recognition and temporal analysis techniques. If a video is determined to be manipulated, the system informs the user with a confidence score and visual indicators, mitigating potential risks associated with deceptive media. Th
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M, Kaviarasan, and Marrynal S. Eastaff Mrs. "SPAMMER DETECTION AND FAKE USER IDENTIFICATION ON SOCIAL NETWORKS." Volume 8 Issue 10 8, no. 10 (2021): 16–18. https://doi.org/10.5281/zenodo.5675115.

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Person to person communication locales draw in large number of clients all throughout the planet. The clients&#39; collaborations with these social locales, for example, Twitter and Facebook have an enormous effect and at times bothersome repercussions for day to day existence. The noticeable long range interpersonal communication locales have transformed into an objective stage for the spammers to scatter a gigantic measure of unimportant and malicious data. Twitter, for instance, has become quite possibly the most excessively utilized foundation ever and hence permits an absurd measure of sp
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Kumar, R. Rakesh. "SPAMMER DETECTION AND FAKE USER IDENTIFICATION ON SOCIAL NETWORKS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31639.

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The project titled "Spammer Detection and Fake User Identification on Social Networks" aims to explore and implement a novel approach to concealing information within digital images while preserving their visual integrity. With the exponential growth of social media platforms like Instagram, the issue of spam and fake user accounts has become increasingly prevalent, posing significant challenges to the integrity and user experience of these platforms. In this project, a comprehensive approach to address the problem of spammer detection and fake user identification on Instagram is proposed. Lev
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Li, Jun, Wentao Jiang, Jianyi Zhang, Yanhua Shao, and Wei Zhu. "Fake User Detection Based on Multi-Model Joint Representation." Information 15, no. 5 (2024): 266. http://dx.doi.org/10.3390/info15050266.

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The existing deep learning-based detection of fake information focuses on the transient detection of news itself. Compared to user category profile mining and detection, transient detection is prone to higher misjudgment rates due to the limitations of insufficient temporal information, posing new challenges to social public opinion monitoring tasks such as fake user detection. This paper proposes a multimodal aggregation portrait model (MAPM) based on multi-model joint representation for social media platforms. It constructs a deep learning-based multimodal fake user detection framework by an
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Nila, Udhaya, Abalin Luther, and Aathi Vignesh. "Block Chain in Fake Product Identification System Using QR Code." International Journal on Cybernetics & Informatics 10, no. 2 (2021): 73–80. http://dx.doi.org/10.5121/ijci.2021.100209.

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Every popular brand has fake manufacturers selling a counterfeited item at cheaper rates. Mostly counterfeiting medicine are selling to customer. For these factors combined with block chain technology can lead to an efficient comprehensive approach to reduce counterfeiting. Pharmaceutical organizations face many challenges regarding counterfeit medicines. Detecting fault medicines so that it will save public life. To discover the consciousness of the fake medication issue which requires an expanding security level for the appropriation of lawful pharmaceutical items. Manufacturing to user can
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Meghana,, T., J. V. B. S. Prem Sai, K. Deekshitha,, and A. Gnanesh Kumar. "Spammer Detection and Fake User Identification on Social Media." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42769.

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This paper presents about the detection of spammers and fake user accounts by using a machine learning model which is logistic regression using binary classification through a flask-based web application. The data set which is used for the training of the Machel learning model consist of 576 user profile characterized by 11 attributes which is presence of profile pic, username length, length of the full name of the user, user profile description length, presence of external URL’s, number of words in full name, is user name equals to full name, is user name public or private, number of follower
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Shukla, Dheeraj. "Deep Fake Face Detection Using Deep Learning." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50976.

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Artificial Intelligence, deepfake technology, Generative Adversarial Networks GAN, Detection System, Detection Accuracy, User accessibility, Digital content verification. Abstract: In recent years, the rise of deepfake technology has raised significant concerns. regarding the authenticity of digital content. Deepfakes, which are synthetic media created using advanced artificial intelligence techniques, can mislead viewers and pose risks to personal privacy, public trust, and social discourse. The proposed system focuses on developing a Generative Adversarial Network (GAN)- based deepfake detec
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Dissertations / Theses on the topic "Fake user"

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Mastrovito, Mirco. "User reputation and data quality in a crowdsensing platform for impaired mobility." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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This dissertation project aims to deal with all these problems by proposing a platform to support people with reduced mobility. There are systems that deal with the problem of urban accessibility through sets of data provided by certified authorities. Such systems have the limit of not being updated in real time and do not extend the possibility of adding information to all participants. From this comes the idea of creating a new application. The application purpose is to collect information on urban accessibility from all users and guarantee, by applying the concept of crowd-sensing, a high
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Beridzishvili, Jumber. "When the state cannot deal with online content : Reviewing user-driven solutions that counter political disinformation on Facebook." Thesis, Malmö universitet, Malmö högskola, Institutionen för globala politiska studier (GPS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-18502.

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Online disinformation damage on the world’s democracy has been critical. Yet, states fail to handle online content harms. Due to exception from legal liability for hosted content, Facebook, used by a third of the world population, operates ‘duty-free’ along with other social media companies.Concerned with solutions, this has given rise to the idea in studies that social resistance could be one of the most effective ways for combating disinformation. However, how exactly do we resist, is an unsettled subject. Are there any socially-driven processes against disinformation happening out there?Thi
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Arvola, Mattias. "Good to use! : Use quality of multi-user applications in the home." Licentiate thesis, Linköping University, Linköping University, MDI - Interaction and Service Design Research Group, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5686.

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<p>Traditional models of usability are not sufficient for software in the home, since they are built with office software in mind. Previous research suggest that social issues among other things, separate software in homes from software in offices. In order to explore that further, the use qualities to design for, in software for use in face-to-face meetings at home were contrasted to such systems at offices. They were studied using a pluralistic model of <em>use quality</em> with roots in socio-cultural theory, cognitive systems engineering, and architecture. The research approach was interpr
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Shahriar, M. (Md ). "Persuading users into verifying online fake news." Master's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201906212618.

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Abstract. Checking authenticity of fake news before sharing online can reduce spread of misinformation. But fact-checking requires cognitive and psychological effort, which people are often not willing to give. Some fact-checking methods might even be counterproductive, entrenching people into their deeply held beliefs. Numerous online fact-checking services have emerged recently which verify false claims to address the issue. While these services are quite efficient technologically, they seriously overlook human behavioral factors associated with fake news. Persuasive systems have been pro
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Villaroman, Norman. "Face Tracking User Interfaces Using Vision-Based Consumer Devices." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3941.

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Some individuals have difficulty using standard hand-manipulated input devices such as a mouse and a keyboard effectively. For such users who at the same time have sufficient control over face and head movement, a robust perceptual or vision-based user interface that can track face movement can significantly help them. Using vision-based consumer devices makes such a user interface readily available and allows its use to be non-intrusive. Designing this type of user interface presents some significant challenges particularly with accuracy and usability. This research investigates such problems
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Thompson, David John. "Large-Scale Display Interaction Techniques to Support Face-to-Face Collaboration." Thesis, University of Canterbury. Computer Science and Software Engineering, 2006. http://hdl.handle.net/10092/1192.

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This research details the development of a large-scale, computer vision-based touch screen capable of supporting a large number of simultaneous hand interactions. The system features a novel lightweight multi-point tracking algorithm to improve real-time responsiveness. This system was trialled for six months in an exhibition installation at World Expo 2005 in Aichi, Japan, providing a robust, fault-tolerant interface. A pilot study was then conducted to directly compare the system against other, more established input methods (a single-touch case, a two-mouse case and a physical proto
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Torrisi, Rosaria Girarda (Geraldine). "Academics' Use of Technology with Face-to-Face Teaching: Factors Predicting the Use of Blended Strategies." Thesis, Griffith University, 2012. http://hdl.handle.net/10072/366413.

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Positioned in the literature related to academic professional development, this study makes a contribution to the understanding of academics’ blended practices by exploring how various factors influence academics’ use of technology with face-to-face teaching. The primary research question addressed by the study is ‘Why do some academics tend to use technology together with their face-to-face teaching to achieve blended teaching strategies to support learning, while others do not?’ The study arises from a context in which a growing number of universities are investing considerable resources in
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Dwyer, Ryan. "Smartphone use undermines enjoyment of face-to-face social interactions." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/62669.

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Decades of research on human happiness points to one central conclusion: Engaging in positive social interactions is critical for well-being. The current smartphone revolution, however, may be altering how and when we derive these benefits. Using a field experiment and experience sampling, we found the first evidence that phone use may undermine the enjoyment people derive from real world social interactions. In Study 1, we recruited over 300 community members and students to share a meal at a restaurant with friends or family. Participants were randomly assigned to keep their phones on the ta
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Mavridis, George. "Fake news and Social Media: How Greek users identify and curb misinformation online." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-23196.

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The issue of fake news and its impact has become very prominent in recent years. Despite the fact that fake news is not a new phenomenon, technological advances have constructed a fertile environment for the fake news to be spread rapidly. Social media platforms, such as Facebook, Twitter or YouTube, offer ground for generation and distribution of fake news. Consequently, it is important to study the way social media operates, how fake news is produced and spread through social network sites and what is the role users play. In particular, this study examines the methods and tools Greek users i
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Barber, Jacqueline Colleen. "Face to Face: English Uses and Understanding of the Beard in Early Virginian Contacts." [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002527.

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Books on the topic "Fake user"

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Chicago Transit Authority. Strategic Planning Dept., ed. Quikpass user surveys. Chicago Transit Authority, Strategic Planning Department, 1989.

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Dorpenyo, Isidore Kafui. User Localization Strategies in the Face of Technological Breakdown. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-26399-7.

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Robert, Reimann, and Cronin Dave 1972-, eds. About face 3: The essentials of interaction design. Wiley Pub., 2007.

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Hood, Ronald D. Cacodylic acid: Agricultural uses, biologic effects, and environmental fate. Veterans Administration Central Office, Dept. of Medicine and Surgery, Agent Orange Projects Office, 1986.

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United States. Veterans Administration. Agent Orange Projects Office, ed. Cacodylic acid: Agricultural uses, biologic effects, and environmental fate. Veterans Administration Central Office, Department of Medicine and Surgery, Agent Orange Projects Office, 1985.

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B, Miller Robert. Conceptual selling: The revolutionary system for face-to-face selling used by America's best companies. Miller-Heiman, 1987.

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E, Heiman Stephen, and Tuleja Tad 1944-, eds. Conceptual selling: The revolutionary system for face-to-face selling used by America's best companies. Warner Books, 1989.

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Ash, Timothy Garton. The uses of adversity: Essays onthe fate of Central Europe. Granta in association with Penguin, 1989.

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Ash, Timothy Garton. The uses ofadversity: Essays on the fate of Central Europe. Vintage Books, 1990.

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Savard, Réjean. Perception et attitudes des clientèles face à Archimède et à la bibliothèque. École de bibliothéconomie et des sciences de l'information, Université de Montréal, 1989.

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Book chapters on the topic "Fake user"

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Gong, Shuzhi, Richard O. Sinnott, Jianzhong Qi, and Cecile Paris. "Fake News Detection Through Temporally Evolving User Interactions." In Advances in Knowledge Discovery and Data Mining. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33383-5_11.

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Rampurkar, Vyankatesh, and D. R. Thirupurasundari. "A Review on Fake Twitter User Profile Detection." In Recent Advances in Science, Engineering & Technology. CRC Press, 2024. http://dx.doi.org/10.1201/9781003527442-23.

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García, Roberto, Maria Teixidor, Paloma de Barrón, et al. "Copyright Management of User-Generated Video for Journalistic Reuse." In Video Verification in the Fake News Era. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26752-0_8.

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Lim, Jeongwoo, Masayuki Tamura, Naoko Nitta, Kazuaki Nakamura, and Noboru Babaguchi. "Spoofing Tweet Generator Considering Points of Interest of Target User." In Frontiers in Fake Media Generation and Detection. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1524-6_5.

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Kidu, Hailay, Haile Misgna, Tong Li, and Zhen Yang. "User Response-Based Fake News Detection on Social Media." In Communications in Computer and Information Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89654-6_13.

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Elias, Herlander, Ernesto Filgueiras, and Breno Carvalho. "Ads-on Games and Fake Brands: Interactions, Commercials and Playful Branding." In Design, User Experience, and Usability: Interactive Experience Design. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20889-3_24.

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Yang, Shuxin, Jiahao Li, and Weidong Huang. "Fake News Detection Model Incorporating News Text and User Propagation." In Intelligence Computation and Applications. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4396-4_21.

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Previti, Marialaura, Victor Rodriguez-Fernandez, David Camacho, Vincenza Carchiolo, and Michele Malgeri. "Fake News Detection Using Time Series and User Features Classification." In Applications of Evolutionary Computation. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43722-0_22.

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Rajabi, Zahra, Amarda Shehu, and Hemant Purohit. "User Behavior Modelling for Fake Information Mitigation on Social Web." In Social, Cultural, and Behavioral Modeling. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21741-9_24.

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Hebroune, Oussama, and Lamia Benhiba. "User-Enriched Embedding for Fake News Detection on Social Media." In Proceedings of the 5th International Conference on Big Data and Internet of Things. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07969-6_44.

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Conference papers on the topic "Fake user"

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S, Kalpana, Kamal B, Sivasakthi T, Vasanthi D, Devi A, and Kaviya S. "Fake User Identification and Duplication Detection Using MERN Stack." In 2024 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). IEEE, 2024. https://doi.org/10.1109/icpects62210.2024.10780274.

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Yang, Xuankai, Yan Wang, Xiuzhen Zhang, Shoujin Wang, Huaxiong Wang, and Kwok-Yan Lam. "UPDATE: Mining User-News Engagement Patterns for Dual-Target Cross-Domain Fake News Detection." In 2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2024. http://dx.doi.org/10.1109/dsaa61799.2024.10722833.

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El-Amrany, Samir, Matthias R. Brust, Johnatan E. Pecero, and Pascal Bouvry. "Tri-FusionDet: Leveraging User Engagement, Textual, and Visual Features for Enhanced Fake News Detection." In 2024 28th International Computer Science and Engineering Conference (ICSEC). IEEE, 2024. https://doi.org/10.1109/icsec62781.2024.10770746.

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Koren, Annat, Chandler Underwood, Edoardo Serra, and Francesca Spezzano. "Evaluating the Robustness of Fake News Detectors to Adversarial Attacks with Real User Comments (Extended Abstract)." In 2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2024. http://dx.doi.org/10.1109/dsaa61799.2024.10722837.

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Gm.E, RamShankar, Anunandhana S, and Subhashree M. "Enhancing Social Media Integrity: A Multi-Platform Machine Learning Approach to Detecting Fake Accounts with a User-Friendly Streamlit Interface." In 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2024. http://dx.doi.org/10.1109/i-smac61858.2024.10714775.

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Rampurkar, Vyankatesh, and Dasarada Thirupurasundari. "A review on fake news and fake user profile detection." In 1ST INTERNATIONAL CONFERENCE ON RECENT ADVANCEMENTS IN COMPUTING TECHNOLOGIES & ENGINEERING. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0218812.

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Dou, Yingtong, Kai Shu, Congying Xia, Philip S. Yu, and Lichao Sun. "User Preference-aware Fake News Detection." In SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 2021. http://dx.doi.org/10.1145/3404835.3462990.

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Qian, Feng, Chengyue Gong, Karishma Sharma, and Yan Liu. "Neural User Response Generator: Fake News Detection with Collective User Intelligence." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/533.

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Fake news on social media is a major challenge and studies have shown that fake news can propagate exponentially quickly in early stages. Therefore, we focus on early detection of fake news, and consider that only news article text is available at the time of detection, since additional information such as user responses and propagation patterns can be obtained only after the news spreads. However, we find historical user responses to previous articles are available and can be treated as soft semantic labels, that enrich the binary label of an article, by providing insights into why the articl
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Gupta, Aditi, and Rishabh Kaushal. "Towards detecting fake user accounts in facebook." In 2017 ISEA Asia Security and Privacy (ISEASP). IEEE, 2017. http://dx.doi.org/10.1109/iseasp.2017.7976996.

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Liu, Hao. "Decoupled User Preference Enhanced Fake News Detection." In CSAIDE 2024: 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy. ACM, 2024. http://dx.doi.org/10.1145/3672919.3672931.

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Reports on the topic "Fake user"

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Harriss, Lydia, and Katie Raymer. Online Information and Fake News. Parliamentary Office of Science and Technology, 2017. http://dx.doi.org/10.58248/pn559.

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Internet search engines and social media platforms are an increasingly popular way of accessing news and information. In 2017, the proportion of UK adults consuming news online exceeded those who watched news on TV (74% versus 69%). This note considers how people access news online, how algorithms (sequences of instructions) and social networks influence the content that users see, and options for mitigating any negative impact.
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Watson, David, David Palm, Frode Syversen, Olav Skogesal, and Jakob Pedersen. Fate and Impact of Used Textiles Exports. Nordic Council of Ministers, 2016. http://dx.doi.org/10.6027/na2016-905.

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Lewis, D. W. Sawmill simulation and the best opening face system : a user`s guide. U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 1985. http://dx.doi.org/10.2737/fpl-gtr-48.

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Jessica Marshall Sanderson. Fate of Mercury in Synthetic Gypsum Used for Wallboard Production. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/908234.

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Jessica Sanderson. Fate of Mercury in Synthetic Gypsum Used for Wallboard Production. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/943310.

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Ashton, Garry. Full Face Mask for Use with MK 16 UBA. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada210914.

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Hobbs, Abbi, and Sarah Bunn. COVID-19: July update on face masks and face coverings for the general public. Parliamentary Office of Science and Technology, 2020. http://dx.doi.org/10.58248/rr39.

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While there is some evidence for the use of face masks and face coverings, it is weak and highly situational. Face masks are no substitute for social distancing. Hand hygiene and good respiratory etiquette, remain the best ways to limit the spread of coronavirus.
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Di Maio, P. Knowledge Representation To Identify, Expose and Prevent Deep Fakes. CSKRNS, 2020. http://dx.doi.org/10.52844/krdf.

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Deepfakes is a term used for resources which have been manipulated using new technology, in particular CNN [1]. This research presents the rationale for using KR (Knowledge Representation) mechanisms to identify, expose and prevent DeepFakes [1]https://doi.org/10.48550/arXiv.1905.00582
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Beaudry, Catherine, and Charles Bérubé. Undeterred and (somewhat) successful – How Canadian firms mitigate innovation barriers to remain innovative ? CIRANO, 2025. https://doi.org/10.54932/oidv6447.

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This paper disentangles the actions that firms took to mitigate financial and nonfinancial innovation barriers and offers a first assessment of the role of government support programs for innovation related activities in relation with these perceived innovation obstacles. Our results show that firms that face financial constraints cannot completely overcome these innovation barriers. When not financially constrained however, firms that choose to be undeterred by the obstacles they face and takes successful measures or use government programs are either equally or more innovative than firms tha
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Cawlfield, D. E., K. B. Been, D. F. Emer, F. T. Lindstrom, and G. J. Shott. CASCADER: An m-chain gas-phase radionuclide transport and fate model. Volume 2, User`s manual for CASCADR8. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10132763.

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