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Artículos de revistas sobre el tema "Misinformation and fake"

Autor: Grafiati

Publicado: 27 de julio de 2024

Última modificación: 31 de julio de 2025

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1

N O Sadiku, Matthew, Tochukwu P Eze, and Sarhan M Musa. "FAKE NEWS AND MISINFORMATION." International Journal of Advances in Scientific Research and Engineering 4, no. 5 (2018): 187–90. http://dx.doi.org/10.31695/ijasre.2018.32728.

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Lokhande, Shivam. "Fake News Detection." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44754.

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Abstract— In the contemporary digital era, misinformation poses a significant threat to informed public discourse and democratic processes. This research presents Truth Guardian, an AI-powered web application designed to analyze, verify, and categorize news content in real time. The system integrates sentiment analysis, source credibility verification, and trend monitoring using advanced natural language processing (NLP) and machine learning techniques. By offering features like trend analytics, news dashboards, and source validation, Truth Guardian empowers users to critically evaluate the re

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Sullivan, M. Connor. "Why librarians can’t fight fake news." Journal of Librarianship and Information Science 51, no. 4 (2018): 1146–56. http://dx.doi.org/10.1177/0961000618764258.

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In the wake of the panic over fake news that followed the 2016 US presidential election, librarians and other information professionals are being urged to “take leadership in the current crisis” (Jacobson, 2017: 24). The response from the profession has been to reaffirm the core values of librarianship and to hold up traditional services as a means for combating misinformation. The problem is that these solutions are offered in the absence of a full understanding of the real danger of misinformation, which is “not just [that] misinformation is ‘out there,’” but “what misinformation does to our

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Vijayan, Vijesh, Temin Thomas, and Princy D. Nellanat. "Mapping fake news and misinformation in media: A two-decade bibliometric review of emerging trends." Insight - News Media 8, no. 1 (2025): 734. https://doi.org/10.18282/inm734.

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The rapid proliferation of fake news and misinformation poses significant challenges to media trust, public decision-making, and societal cohesion in the digital age. This study employs a bibliometric analysis to systematically map the scholarly landscape surrounding fake news and misinformation across media platforms, focusing on social media’s pivotal role in shaping public perception and trust. Utilizing data from the Scopus database, the study analyzes 560 documents published between 2005 and 2025, uncovering trends in annual scientific production, leading sources, author contributions, an

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Zhou, Ke, Sanja Šćepanović, and Daniele Quercia. "Characterizing Fake News Targeting Corporations." Proceedings of the International AAAI Conference on Web and Social Media 18 (May 28, 2024): 1818–32. http://dx.doi.org/10.1609/icwsm.v18i1.31428.

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Misinformation proliferates in the online sphere, with evident impacts on the political and social realms, influencing democratic discourse and posing risks to public health and safety. The corporate world is also a prime target for fake news dissemination. While recent studies have attempted to characterize corporate misinformation and its effects on companies, their findings often suffer from limitations due to qualitative or narrative approaches and a narrow focus on specific industries. To address this gap, we conducted an analysis utilizing social media quantitative methods and crowd-sour

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Veerasamy, Namosha, Zubeida Khan, and Danielle Badenhorst. "Examining Misinformation and Deep Fakes." European Conference on Knowledge Management 25, no. 1 (2024): 870–77. http://dx.doi.org/10.34190/eckm.25.1.2715.

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Misinformation in the form of deep fakes and phishing links can not only spread false information but can only be used a weapon in the hands of cyber criminals. To combat this problem, the authors investigate fake news and misinformation, in a South African context. In the paper, the use of cyber scams that contain misinformation will also be unpacked. This aims to create an awareness and defensive approach to tackling emerging cyber threats that prey on misinformation. This paper tackles a growing concern by examining the pervasiveness of fake news by looking into the extent that fake news in

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Mtsweni, Jabu, Lungisani Ndlovu, Sthembile Mthethwa, and Nenekazi Mkuzangwe. "Measuring Misinformation Trends on Social Media in South Africa using Machine Learning." International Conference on Artificial Intelligence and its Applications 2023 (November 9, 2023): 128–33. http://dx.doi.org/10.59200/icarti.2023.018.

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Misinformation, disinformation, malinformation, and/or fake news have gained attention for good and bad in South Africa, especially since the COVID-19 pandemic. The research-based and non-research-based interventions to tackle misinformation have also been slowly gaining traction, particularly through fact checkers, fake news reporting systems such as those by real411, research on automated systems to detect fake news online using machine learning, sentiment analysis of fake news, tagging of fake news data, and so on. Nevertheless, the spread of misinformation and/or fake news still represents

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Scheufele, Dietram A., and Nicole M. Krause. "Science audiences, misinformation, and fake news." Proceedings of the National Academy of Sciences 116, no. 16 (2019): 7662–69. http://dx.doi.org/10.1073/pnas.1805871115.

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Concerns about public misinformation in the United States—ranging from politics to science—are growing. Here, we provide an overview of how and why citizens become (and sometimes remain) misinformed about science. Our discussion focuses specifically on misinformation among individual citizens. However, it is impossible to understand individual information processing and acceptance without taking into account social networks, information ecologies, and other macro-level variables that provide important social context. Specifically, we show how being misinformed is a function of a person’s abili

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Barr, Hannah M., Jenna E. Cotter, Emily H. O’Hear, et al. "Individual Differences in Misremembering Fake News on Social Media." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (2022): 616–20. http://dx.doi.org/10.1177/1071181322661078.

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Social media is omnipresent in many lives, and its popularity has made it a prime delivery method for misinformation. This problem is widely recognized, even by social media companies. The debate rages on as to what the right approach should be to combat misinformation; some suggest removal of misinformation; others suggest labeling misinformation. Therefore, it is important to understand how labeling misinformation may interact with individual differences to affect recall of what is and is not misinformation. In addition to factors like confirmation bias, in-group versus out-group assignment,

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Desai, Bhavana. "Social Media, Misinformation and Covid-19." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 1941–54. http://dx.doi.org/10.17762/turcomat.v12i2.1778.

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Social media has come as a boon, and as curse of spreading false news. Fake news has always been on the horizon even earlier. Only difference is that the fake news in earlier times was more risky and dangerous. Because in those times, identifying the fake news was not only difficult but propagating about it was also difficult. In these times, even though we have fake news the controlling measures are better and convincing people about them easy. With Covid-19, the pandemic in a century, people saw the havoc fake news can play. The paper defines, classifies Fake news. It discusses all the measu

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Hilary, Ibegbulem Obioma, and Olannye-Okonofua Dumebi. "Social Media as a Tool for Misinformation and Disinformation Management." Linguistics and Culture Review 5, S1 (2021): 496–505. http://dx.doi.org/10.21744/lingcure.v5ns1.1435.

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In recent years, the subject of fake news, as well as its consequences, has gained a lot of attention. Even though fake news is not a new occurrence, technological advancements have created an ideal atmosphere for it to spread quickly. Platforms like Facebook, Twitter, and YouTube provide fertile ground for the creation and dissemination of misinformation and disinformation. As a result, it is critical to research how social media works, how fake news is created and distributed through social media, and what role users play. The study examines social media as a tool for misinformation and disi

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Greene, Ciara M., and Gillian Murphy. "Debriefing works: Successful retraction of misinformation following a fake news study." PLOS ONE 18, no. 1 (2023): e0280295. http://dx.doi.org/10.1371/journal.pone.0280295.

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In recent years there has been an explosion of research on misinformation, often involving experiments where participants are presented with fake news stories and subsequently debriefed. In order to avoid potential harm to participants or society, it is imperative that we establish whether debriefing procedures remove any lasting influence of misinformation. In the current study, we followed up with 1547 participants one week after they had been exposed to fake news stories about COVID-19 and then provided with a detailed debriefing. False memories and beliefs for previously-seen fake stories

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Ab, Rouf Bhat, and Afshana Syeda. "Fake News in Kashmir: A Case Study." RESEARCH REVIEW International Journal of Multidisciplinary 4, no. 3 (2019): 502–7. https://doi.org/10.5281/zenodo.2605482.

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While social media is used to proliferate news, it is also used to peddle fake news, rumors and misinformation. There is an upward trend in the circulation of fake news on social media throughout the world. The phenomenon of fake news is as old as the media itself but it has dominated the public discourse since the post-truth era and is directly related to the increase in the usage of social networking sites. The online media sphere of Kashmir is not immune to fake news either. Kashmir is one of the few places where Internet services are often disrupted by government to stop the spread of &ldq

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Rahman, Abdur, Gulfam Khan, Afzal Azad, Ahmar Ejaz, and Maruti Maurya. "Detecting Fake News Using Hybrid Machine Learning Models." International Journal of Innovative Research in Computer Science and Technology 13, no. 3 (2025): 127–37. https://doi.org/10.55524/ijircst.2025.13.3.20.

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The increasing diffusion of misinformation in online media has raised alarm as a significant threat to information credibility and societal trust. The ease of disseminating false information across social media platforms, news websites, and digital forums has led to severe consequences, including political manipulation, financial fraud, and public misinformation. This research outlines a robust strategy for detecting misinformation using Natural Language Processing. To take the detection process a step further, the study analyses the implementation of ensemble models. Ensemble learning combine

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Khan, Muhammad Kamran, Gohar Ali, Afifa Tanveer Malhi, and Jahanzaib Shahid. "Analysis of Diffusion of Misinformation on Twitter: Effects of Fake News among Youth of Pakistan." Online Media and Society 4, no. 3 (2023): 45–57. https://doi.org/10.71016/oms/76fpnh61.

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Aim of the Study: This research study investigates the profound effect of fake news on Twitter among the youth of Pakistan, specifically focusing on the psychological effects, diffusion mechanisms, and the role of Artificial Intelligence (AI) in misinformation dissemination. Methodology: Through rigorous data collection and analysis, including the utilization of SPSS for correlation and linear regression tests, this study delves into the intricate relationships between fake news, psychological impact, prevalence of misinformation, and AI usage on Twitter. Data is collected from 200 respondents

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Effron, Daniel A., Minjae Kim, David Lazer, and David Rand. "Fake News and Misinformation: Problems and Solutions." Academy of Management Proceedings 2019, no. 1 (2019): 12345. http://dx.doi.org/10.5465/ambpp.2019.12345symposium.

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Thomas, Jackson, Gregory M. Peterson, Erin Walker, et al. "Fake News: Medicines Misinformation by the Media." Clinical Pharmacology & Therapeutics 104, no. 6 (2018): 1059–61. http://dx.doi.org/10.1002/cpt.1199.

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Wahlheim, Christopher N., Timothy R. Alexander, and Carson D. Peske. "Reminders of Everyday Misinformation Statements Can Enhance Memory for and Beliefs in Corrections of Those Statements in the Short Term." Psychological Science 31, no. 10 (2020): 1325–39. http://dx.doi.org/10.1177/0956797620952797.

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Fake-news exposure can cause misinformation to be mistakenly remembered and believed. In two experiments ( Ns = 96), we examined whether reminders of misinformation could improve memory for and beliefs in corrections. Subjects read factual statements and misinformation statements taken from news websites and then read statements that corrected the misinformation. Misinformation reminders appeared before some corrections but not others. Subjects then attempted to recall facts, indicated their belief in those recalls, and indicated whether they remembered corrections and misinformation. In Exper

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19

Ang, Benjamin, Muhammad Abdul Rahman, and Yi-Ling Teo. "Legal Strategies for Combating Fake News and Misinformation." Interdisciplinary Studies in Society, Law, and Politics 2, no. 1 (2023): 24–30. http://dx.doi.org/10.61838/kman.isslp.2.1.4.

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This article aims to explore the various legal strategies employed to combat fake news and misinformation, examining the complexities and challenges inherent in these approaches. It seeks to identify effective measures and provide a comprehensive understanding of how law and policy can evolve to address the pervasive issue of misinformation in the digital age. Employing a qualitative research design, this study relies on semi-structured interviews with a purposive sample of 23 participants, including legal experts, policymakers, and digital platform operators. The interviews were designed to a

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Jin, Qiang, Syed Hassan Raza, Muhammad Yousaf, et al. "Ingraining Polio Vaccine Acceptance through Public Service Advertisements in the Digital Era: The Moderating Role of Misinformation, Disinformation, Fake News and Religious Fatalism." Vaccines 10, no. 10 (2022): 1733. http://dx.doi.org/10.3390/vaccines10101733.

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Recently, misinformation and disinformation, as well as fake news, have become global threats to public health owing to their role in spreading viral health hazard information. The growing explosive religious fatalistic views presented on social media and widespread misinformation, disinformation, and fake news can result in detrimental outcomes in adopting protective behavior. The moderating implications of misinformation and religious fatalism can be severe, leading to adverse effects on polio vaccine acceptance. Consequently, this research provides brief empirical evidence on the efficacy o

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Kuatewo, Mawulom, Wisdom Ebelin, Phidelia Theresa Doegah, et al. "Fake news, misinformation, vaccine hesitancy and the role of community engagement in COVID-19 vaccine acceptance in Southern Ghana." PLOS One 20, no. 6 (2025): e0316969. https://doi.org/10.1371/journal.pone.0316969.

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Introduction The novel coronavirus (COVID-19) is characterised by loads of fake news and misinformation, which can influence vaccine acceptance. Implementing a harmonized public health strategy during an outbreak necessitates effective community engagement and communication, which facilitates public trust and decision-making. This study explored the role of community engagement in the acceptance of COVID-19 vaccine amid fake news and misinformation in two municipalities in Ghana. Method A case study design was employed using in-depth interviews with government officials from the Ghana Health S

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Awan, Tahir Mumtaz, Mahroz Aziz, Aruba Sharif, Tehreem Raza Ch, Taha Jasam, and Yusra Alvi. "Fake news during the pandemic times: A Systematic Literature Review using PRISMA." Open Information Science 6, no. 1 (2022): 49–60. http://dx.doi.org/10.1515/opis-2022-0131.

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Abstract The purpose of this systematic literature review is to review the major studies about misinformation and fake news during COVID-19 on social media. A total of 144 articles studies were retrieved from ScienceDirect, Scopus, and Web of Science databases and 20 relevant articles were selected using the PRISMA technique. It was found that altruism, instant news sharing, self-promotion, and socialization are predictors of fake news sharing. Furthermore, the human mind plays a significant role in spreading misinformation while the role of critical thinking of individuals is very much import

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Samson, Ighiegba Omosotomhe, and Oritsesan Olley Wilfred. "Mapping Fake News Misinformation and Health Communication Gaps in the Wake of Covid-19 Pandemic in Nigeria." International Journal of Innovative Science and Research Technology 8, no. 5 (2023): 1465–77. https://doi.org/10.5281/zenodo.8208067.

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The Covid-19 pandemic has changed the way the world communicates, particularly in Nigeria with its high prevalence of fake news and misinformation. This study aims to map the fake news, misinformation and health communication gaps in the wake of the Covid-19 pandemic in Nigeria through the use of mixed method data. A combination of qualitative and quantitative data collection methods was used to explore the sources of fake news and misinformation, the mediums through which it is shared and the impact on health communication. Survey was conducted to collect quantitative data on the prevalence o

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Batchelor, Oliver. "Getting out the truth: the role of libraries in the fight against fake news." Reference Services Review 45, no. 2 (2017): 143–48. http://dx.doi.org/10.1108/rsr-03-2017-0006.

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Purpose The purpose of this paper is to inform library professionals on the issues, impact and methods of addressing misinformation in news. Design/methodology/approach This paper discusses the history, scope and impact of fake news and the tools available for correcting misinformation. Findings Fake news and misinformation are widespread and detrimental to democracy. A misinformed electorate undermines the political system. Originality/value The paper does not present original findings, but it presents many useful tools for library professionals to use as a means of promoting critical thinkin

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Hjort, Frederik, and Rebecca Adler-Nissen. "Does media coverage of fake news affect citizens’ reactions to misinformation and its correction?" Politica 53, no. 2 (2021): 189. http://dx.doi.org/10.7146/politica.v53i2.130388.

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During the 2016 US presidential election campaign, interest in fake news surged among political elites, media, and mass publics. This raises the question of how general awareness of fake news affects information processing by citizens. We address this deficit by theorizing about the consequences of awareness of fake news for receptivity to misinformation. We hypothesize that individuals induced to be more aware of fake news will be less likely to update beliefs and attitudes in response to information from news media. We test this theoretical expectation in a pre-registered experiment in coope

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Curta, Ioana-Adela. "„Fake news – An Almost Incurable Media Deviance?”." SAECULUM 52, no. 2 (2021): 45–53. http://dx.doi.org/10.2478/saec-2021-0017.

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Abstract In a world that has become addicted to sensational, the impact news about disasters, tragedies, diseases skilfully moves the media market in a direction oriented exclusively on the financial side. In the fight for priority, many news stories are formed and formulated as fake news. It has been found that the public often accepts this way of informing, although in fact misinformation and propaganda are created. There are differences and similarities in time in peddling such news. Either for political propaganda, or for intentional misinformation, or, indeed, for financial gain.

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Mainieri, Tiago, and Rafael Borges Marques. "DISINFORMATION TRANSGRESSION AND THE ANTI-VACINE GROUPS ON FACEBOOK." Revista Observatório 6, no. 2 (2020): a13en. http://dx.doi.org/10.20873/uft.2447-4266.2020v6n2a13en.

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The article proposal is to discuss the role of social media spreading fake news in the health context analysing misinformation content that circulate in one of the main anti-vaccine groups on Facebook. The proliferation of fake news is supported by a misinformation network whose nature exposes the fragility of the public health prevention system and the risk of the return of some diseases in Brazil. As a result of the misinformation, there is a decrease in vaccination coverage rates and there is an increased exposure of people to diseases.

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Singh, Pawan, and Bharat Dhiman. "Exploding AI-Generated Deep fakes and Misinformation: A Threat to Global Concern in the 21st Century." Journal of Robotics and Automation Research 5, no. 1 (2024): 01–07. https://doi.org/10.33140/jrar.05.01.02.

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Deep fakes the term was coined in 2018 by a Reddit user who created a Reddit forum dedicated to the creation and use of deep learning software for synthetically face swapping female celebrities into pornographic videos. According to Sumsub's research in 2023, the top-5 identity fraud types in 2023 are AI-powered fraud, money muling networks, fake IDs, account takeovers, and forced verification. The country most attacked by deep fakes is Spain; the most forged document worldwide is the UAE passport, whereas Latin America is the region where fraud has increased in every country. On November 24,

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Modi, Kritik, Shubham Shreshth, Karan V, Himanshu Yadav, and Sarala D V. "A Literature Survey on “Misinformation Flagging System”." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (2023): 1705–11. http://dx.doi.org/10.22214/ijraset.2023.48911.

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Abstract: Many people rely on social media as their main information source these days. But it has two sides to it. The cheap cost, simple access, and quick information distribution encourage consumers to read news on social media. But it also facilitates the dissemination of incorrect information without any malicious intent and disinformation can go unnoticed. As publishing news online is inexpensive and spreading it through social media is much simpler and faster than through traditional channels, a lot of misinformation is created on the internet for a number of reasons, such as financial

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Schuster, Tal, Roei Schuster, Darsh J. Shah, and Regina Barzilay. "The Limitations of Stylometry for Detecting Machine-Generated Fake News." Computational Linguistics 46, no. 2 (2020): 499–510. http://dx.doi.org/10.1162/coli_a_00380.

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Recent developments in neural language models (LMs) have raised concerns about their potential misuse for automatically spreading misinformation. In light of these concerns, several studies have proposed to detect machine-generated fake news by capturing their stylistic differences from human-written text. These approaches, broadly termed stylometry, have found success in source attribution and misinformation detection in human-written texts. However, in this work, we show that stylometry is limited against machine-generated misinformation. Whereas humans speak differently when trying to decei

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Nourah, Alessa, Alhawiti Maryam, Alshehri Sharifah, Majdua Amal, Aljehane Nojood, and Alotaibi Mohammed. "An Intelligent System to Protect Diabetic Patients from Misinformation on Twitter." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 12, no. 8 (2023): 15–20. https://doi.org/10.35940/ijitee.H9640.0712823.

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<strong>Abstract: </strong>Diabetes is a chronic disease requiring careful management and accurate health information access. Diabetic patients are particularly vulnerable to misinformation on social media, as they may be more likely to seek alternative treatments and self-medicate. This can have severe consequences for their health and well-being. Also, the spread of misinformation on social media, including Twitter, can negatively impact the health and treatment of diabetic patients. In this research, we propose developing an intelligent system to detect and mitigate the spread of misinforma

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KARTHIKEYAN, Mr M., and Binaboina Venkatesh. "Fake Social Media Accounts and Their Detection." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44557.

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The rise of social media has led to the proliferation of fake accounts, which are used for malicious activities such as spreading misinformation, phishing, fraud, and impersonation. These accounts can be automated (bots), human-operated, or hybrid, making their detection challenging. Various techniques, including machine learning, deep learning, and rule-based approaches, are employed to identify fake accounts. Detection methods analyze factors like user behavior, profile characteristics, activity patterns, and network connections. This paper explores the impact of fake social media accounts,

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Govindankutty, Sreeraag, and Shynu Padinjappurathu Gopalan. "From Fake Reviews to Fake News: A Novel Pandemic Model of Misinformation in Digital Networks." Journal of Theoretical and Applied Electronic Commerce Research 18, no. 2 (2023): 1069–85. http://dx.doi.org/10.3390/jtaer18020054.

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Digital networks and E-commerce platforms have had a profound effect on people’s personal, educational, and professional life all around the world. They offer space for advertising, sales, and disseminating news and information, even if they are frequently used for social marketing, interacting, and sharing thoughts among people. Currently, most E-commerce platforms utilize digital network space for advertisement and an increasing trend of social commerce is visible in all parts of the world. During the Post-COVID-19 pandemic, a rapid increase in digital media and E-commerce usage was observed

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Ishengoma, Dianus, and Given Mutinta. "Tanzanian journalists in countering fake news: disinformation and misinformation." Communicare: Journal for Communication Studies in Africa 43, no. 2 (2024): 50–64. https://doi.org/10.36615/gz3ezj29.

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The widespread dissemination of fake news, “disinformation and misinformation”, is an ongoing issue that has garnered significant attention from scholars and media professionals due to its contribution to public distrust of the credibility of news provided by media outlets. This article explores Tanzanian journalists’ efforts to combat fake news by assessing their awareness, challenges and strategies. A quantitative approach was employed to gather data from a sample of 306 journalists from radio, television, newspapers and online/digital media across various parts of Tanzania’s mainland. Data

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S Khaple, Prof Arunadevi, Shraddha Vijay Bhilare, Vaishnavi Parshuram Chikhale, Komal Appasaheb Bhosale, and Mayuri Suresh Bais. "Challenges and Techniques in Multilingual Fake News Detection." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 10 (2024): 1–6. http://dx.doi.org/10.55041/ijsrem38279.

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The spread of false information across language and cultural barriers poses a significant threat to global societies. This study investigates the obstacles in detecting misinformation in various languages, including linguistic diversity, limited datasets, cultural nuances, and the ever- changing strategies of disinformation propagators. These complex issues require advanced methods to effectively identify and combat false information across multiple languages. The research evaluates several prominent machine learning approaches, such as Support Vector Machines (SVM), Random Forest, K-Nearest N

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Hjort, Frederik, and Rebecca Adler-Nissen. "Påvirker mediedækning af fake news borgeres modtagelighed for misinformation og korrektioner?" Politica 53, no. 2 (2021): 150–67. http://dx.doi.org/10.7146/politica.v53i2.130384.

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I de senere år har politisk misinformation, populært kaldet fake news, nydt stor bevågenhed. Det rejser spørgsmålet, hvorvidt denne opmærksomhed i sig selv påvirker, hvordan borgere reagerer på politiske nyheder. Vi adresserer dette spørgsmål ved først at udvikle teoretiske forventninger om, hvordan opmærksomhed på politisk misinformation påvirker borgeres modtagelighed over for politisk information. Vi tester disse teoretiske forventninger i et præregistreret surveyeksperiment, som vi udfører i samarbejde med et dansk nyhedsmedie. Resultaterne viser, modsat den teoretiske forventning, at resp

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SIDDIQUI, SADIYA MAHEEN. "TruthLens: AI-Powered Fake News and Misinformation Detection Using Multimodal Analysis." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–7. https://doi.org/10.55041/ijsrem.ncft030.

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Abstract—The spread of misinformation and fake news poses a significant challenge in today’s digital landscape. This research presents TruthLens, an AI-powered framework integrating Nat- ural Language Processing (NLP), Computer Vision (CV), and Fact-Checking APIs to identify and mitigate misinformation. Our system leverages machine learning models for textual analysis, deep learning-based image/video forensics, and web scraping techniques for real-time verification. The credibility scores are evaluated using TF-IDF with LinearSVC, BERT, RoBERTa, CNNs for manipulated media, and Google Fact-Chec

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Wan Hashridz Rizal Wan Abu Bakar, Abdul Rauf Ridzuan, Mohd Sufiean Hassan, and Fahmi Zaidi Abd Razak. "Exploring Fake News Sharing among Malaysian University Students: Role of Uses and Gratification Theory." Environment-Behaviour Proceedings Journal 10, SI26 (2025): 21–26. https://doi.org/10.21834/e-bpj.v10isi26.6788.

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Fake news, portrayed as accurate but actually false or misleading, spreads through fabricated stories, altered media, and automated programs. This study explores the dissemination of fake news among Malaysian university students using the Uses and Gratification Theory (UGT). Data from 111 participants reveal how personal motivations, as identified by UGT, influence the spread of misinformation. The study highlights the link between individual motivations and fake news propagation by understanding students' media consumption reasons. These findings offer practical insights for policymakers and

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Olagunju, Afeez Ayomide, and Iyabo Olukemi Awoyelu. "Performance Evaluation of Fake News Detection Models." International Journal of Information Technology and Computer Science 16, no. 6 (2024): 89–100. https://doi.org/10.5815/ijitcs.2024.06.07.

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The rapid spread of misinformation on social media platforms, especially Twitter, presents a challenge in the digital age. Traditional fact-checking struggles with the volume and speed of misinformation, while existing detection systems often focus solely on linguistic features, ignoring factors like source credibility, user interactions, and context. Current automated systems also lack the accuracy to differentiate between genuine and fake news, resulting in high rates of false positives and negatives. This study investigates the creation of a Twitter bot for detecting fake news using deep le

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M.Lalitha, Ms. "A Machine Learning Framework for Countering Fake News Propagation." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48621.

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Abstract - The widespread use of social media has accelerated the spread of fake news, eroding public trust and making fact verification difficult. This project presents a machine learning framework using Natural Language Processing (NLP) and Decision Tree algorithms to classify news articles as real or fake. The system includes data preprocessing, TF-IDF-based feature extraction, and model training to detect misinformation accurately. Designed for both accuracy and interpretability, the framework offers a scalable solution for real-time fake news detection, with strong potential for integrati

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Subha K, Benitlin. "Next-Gen Fake News Detection: Leveraging Bert for Enhanced Accuracy." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem46949.

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Abstract - The rise of fake news on digital platforms threatens public trust and democratic integrity. This project presents an AI-powered approach using a fine-tuned BERT model to detect nuanced misinformation, addressing the shortcomings of current systems. By developing a labeled dataset with bias classifications and evaluating performance through standard metrics, the system outperforms traditional methods. The research advances media transparency and showcases transformer models as vital tools in combating evolving misinformation tactics. Key Words: Fake news detection, BERT, natural lang

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Faix, Allison, and Amy Fyn. "Framing Fake News: Misinformation and the ACRL Framework." portal: Libraries and the Academy 20, no. 3 (2020): 495–508. http://dx.doi.org/10.1353/pla.2020.0027.

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Mishchenkо, Liudmyla, and Iryna Klymenkо. "METHOD FOR DETECTING FAKE NEWS THROUGH WRITING STYLE." TECHNICAL SCIENCES AND TECHNOLOGIES, no. 4(34) (2023): 82–90. http://dx.doi.org/10.25140/2411-5363-2023-4(34)-82-90.

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In the era of digital technologies, distinguishing truth from misinformation is a challenging task. Fake news, character-ized by deceitful narratives, poses a significant threat. Traditional fact-checking methods often overlook the nuances of lin-guistic stylistic coloring. This study employs an advanced writing style analysis that extends beyond conventional methodolo-gies. Several linguistic dimensions of texts are considered in this research, emphasizing on pre-processing and function development. The experiments are based on various datasets. Thus, the developed method for detecting fake n

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Lamprou, Evangelos, Nikos Antonopoulos, Iouliani Anomeritou, and Chrysoula Apostolou. "Characteristics of Fake News and Misinformation in Greece: The Rise of New Crowdsourcing-Based Journalistic Fact-Checking Models." Journalism and Media 2, no. 3 (2021): 417–39. http://dx.doi.org/10.3390/journalmedia2030025.

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Fake news and misinformation are a menace to the public sphere, democracy, and society with sometimes irreversible consequences. Journalists in the new era seem not to be able or willing to play their traditional role of gatekeeper and social media have made the problem even more intense. The need for truth is unnegotiable in modern democracies. Nevertheless, non-true stories and misinformation dominate media outlets with severe consequences and negative impacts on societies all over the world. Fact-checking platforms based on crowdsourcing strategies or automated digital websites might be the

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Alshehri, Anfal, Danah Almalki, Eaman Alharbi, and Somayah Albaradei. "Audio Deep Fake Detection with Sonic Sleuth Model." Computers 13, no. 10 (2024): 256. http://dx.doi.org/10.3390/computers13100256.

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Information dissemination and preservation are crucial for societal progress, especially in the technological age. While technology fosters knowledge sharing, it also risks spreading misinformation. Audio deepfakes—convincingly fabricated audio created using artificial intelligence (AI)—exacerbate this issue. We present Sonic Sleuth, a novel AI model designed specifically for detecting audio deepfakes. Our approach utilizes advanced deep learning (DL) techniques, including a custom CNN model, to enhance detection accuracy in audio misinformation, with practical applications in journalism and s

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Anikesh, Tiwari. "AI-Based Fake News Detection Using Natural Language Processing." Journal of Research and Innovation in Technology, Commerce and Management Vol. 2, Issue 6 (2025): 2648–53. https://doi.org/10.5281/zenodo.15591766.

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Fake news is a big problem today, especially on social media, where misinformation spreads quickly. To solve this, researchers use artificial intelligence (AI) and machine learning (ML) to detect fake news. This study explores different AI models, including BERT, ALBERT, and ROBERT, which help analyze text and classify news as real or fake. Advanced deep learning methods work better than traditional machine learning because they understand language more deeply. Some methods also check reliable sources, analyze emotions in text, and use social network data to improve accuracy. However, there ar

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Paredes, Digmar Garcia. "Strategies based on artificial intelligence for the detection of fake news." AWARI 4 (August 19, 2023): 1–6. http://dx.doi.org/10.47909/awari.58.

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The article examines artificial intelligence (AI) strategies to combat fake news, highlighting the rise in misinformation, especially during the pandemic, and its negative impact on public decision-making. The accelerated spread of fake news in the face of truth underlines the urgency of effective detection methods. Through a systematic literature review, the use of machine learning, deep learning, and natural language processing (NLP) to automate the identification of fake news is explored, highlighting key data sets such as BuzzFeedNews, LIAR, and BS Detector, among others, essential to trai

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Omoyeni, Oladele Emmanuel, Chibunna Victor Enyinnaya, Peter Bardi, Clement A. Ogbaini, and John O. Ajayi. "The Role of Technology In Combating Fake and Malicious Contents." Advances in Multidisciplinary & Scientific Research Journal Publications 10, no. 1 (2024): 17–24. http://dx.doi.org/10.22624/aims/sij/v10n1p4.

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Technology presents a double-edged sword in the fight against fake content online This paper investigates the multifaceted roles of technology in the dissemination of fake content online. It explores how advancements like automation, social media algorithms, and deep fakes facilitate the spread of misinformation. Conversely, it examines how technologies like AI, fact-checking tools, and content moderation can be harnessed to mitigate this challenge Conversely, the paper examines how technologies like artificial intelligence (AI), fact-checking tools, and content moderation can be harnessed to

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Dharawat, Arkin, Ismini Lourentzou, Alex Morales, and ChengXiang Zhai. "Drink Bleach or Do What Now? COVID-HeRA: A Study of Risk-Informed Health Decision Making in the Presence of COVID-19 Misinformation." Proceedings of the International AAAI Conference on Web and Social Media 16 (May 31, 2022): 1218–27. http://dx.doi.org/10.1609/icwsm.v16i1.19372.

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Given the widespread dissemination of inaccurate medical advice related to the 2019 coronavirus pandemic (COVID-19), such as fake remedies, treatments and prevention suggestions, misinformation detection has emerged as an open problem of high importance and interest for the research community. Several works study health misinformation detection, yet little attention has been given to the perceived severity of misinformation posts. In this work, we frame health misinformation as a risk assessment task. More specifically, we study the severity of each misinformation story and how readers perceiv

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Kumar, Akash, and Shyam Shankar Dwivedi. "The Role of AI in Social Media Misinformation: Strategies and Impacts." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 7084–95. https://doi.org/10.22214/ijraset.2025.71831.

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Abstract: Artificial intelligence (AI) has significantly influenced content distribution on social media, but it has also contributed to the rapid dissemination of misinformation. AI-powered technologies, such as deep fake manipulation, automated content creation, and engagement-driven algorithms, facilitate the swift production and amplification of false information. This paper investigates how AI is leveraged to spread misinformation across major social media platforms, including Facebook, Twitter (X), YouTube, and Instagram. Through a case study approach, we examine real-world incidents whe

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