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- ArticleDecember 2024
Identification of Targets in Disinformation News Articles Using Supervised Machine Learning
- Sadam Hussain,
- Akmal Saeed Khattak,
- Rabeeh Ayaz Abbasi,
- Tony Russell-Rose,
- Venkata L. Raju Chinthalapati
AbstractFake news or disinformation spreads widely among various communities worldwide due to the advancement in technology involving social media platforms such as Facebook, Twitter, and Instagram in our daily lives. Disinformation news is designed to ...
- research-articleDecember 2024
A Framework for Analysing Disinformation Narratives: Ukrainian Refugees in Bulgaria
Cybernetics and Information Technologies (CYBAIT), Volume 24, Issue 4Pages 191–209https://doi.org/10.2478/cait-2024-0043AbstractThis article presents a methodological framework for analyzing disinformation narratives, emphasizing the significance of localized contextualization, particularly the influence of cultural and historical factors embedded within these narratives. ...
- ArticleOctober 2024
The eu-FAIRnews: A Preliminary Exploration of Bridging Disinformation and Digital Justice Through FAIR Data Practices in Online News Sources
AbstractFreedom of speech is a crucial right. While the digital realm has allowed for greater expansion of free expression, it has also facilitated anonymous sharing of content. The veracity of news is increasingly threatened by the difficulty of tracking ...
- research-articleDecember 2024
Popups, Credibility, and the Spread of Misinformation
SIGITE '24: Proceedings of the 25th Annual Conference on Information Technology EducationPages 117–122https://doi.org/10.1145/3686852.3687065The desire to “debunk” false information is a shared goal among government, social media platforms, and society. How can organizations determine whether a debunking technique is effective? Noting that simply debunking misinformation may not affect its ...
- research-articleOctober 2024
Recognition of propaganda techniques in newspaper texts: Fusion of content and style analysis
Expert Systems with Applications: An International Journal (EXWA), Volume 251, Issue Chttps://doi.org/10.1016/j.eswa.2024.124085AbstractPublic texts aiming at reader manipulation for propaganda or disinformation purposes pose a significant threat to society. The ability to detect the presence of a specific manipulative technique in a text offers an informed warning to readers and ...
Highlights- New publicly available Propaganda dataset of 8,646 Czech newspaper articles.
- Human-annotated for 18 manipulative techniques used in propaganda and disinformation.
- Evaluation of the Propaganda dataset with state-of-the-art ...
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- research-articleSeptember 2024
AI vs linguistic-based human judgement: Bridging the gap in pursuit of truth for fake news detection
Information Sciences: an International Journal (ISCI), Volume 679, Issue Chttps://doi.org/10.1016/j.ins.2024.121097AbstractOne of the negative aspects of the world becoming more digitized has been fake news, i.e., online disinformation – false, often fabricated reports of events, written and read on websites. The term has already entered collective consciousness and ...
- ArticleAugust 2024
Model Construction and Empirical Research on Cross-Platform Propagation of Disinformation
Advanced Intelligent Computing Technology and ApplicationsPages 397–408https://doi.org/10.1007/978-981-97-5606-3_34AbstractBased on the prevalence and complexity of disinformation propagation on current social networks, this research aims to explore the propagation principles of cross-platform disinformation and construct a corresponding propagation model. First, we ...
- research-articleJuly 2024
Trustworthiness and explainability of a watermarking and machine learning-based system for image modification detection to combat disinformation
- Andrea Rosales,
- Agnieszka Malanowska,
- Tanya Koohpayeh Araghi,
- Minoru Kuribayashi,
- Marcin Kowalczyk,
- Daniel Blanche-Tarragó,
- Wojciech Mazurczyk,
- David Megías
ARES '24: Proceedings of the 19th International Conference on Availability, Reliability and SecurityArticle No.: 76, Pages 1–10https://doi.org/10.1145/3664476.3670934The widespread use of digital platforms, prioritising content based on engagement metrics and rewarding content creators accordingly, has contributed to the proliferation of disinformation and its far-reaching social and political impact. In addition, ...
- research-articleJuly 2024
A Technical Exploration of Strategies for Augmented Monitoring and Decision Support in Information Warfare
ARES '24: Proceedings of the 19th International Conference on Availability, Reliability and SecurityArticle No.: 74, Pages 1–8https://doi.org/10.1145/3664476.3670922The evolving landscape of global security has shifted away from the traditional dynamics of superpower confrontation towards a more complex interaction involving both state and non-state actors. The information revolution driven by technologies and the ...
- invited-talkJune 2024
From Open-Source to Primetime: The Making of an AI News Anchor and its Role in the New Landscape of Disinformation
MAD '24: Proceedings of the 3rd ACM International Workshop on Multimedia AI against DisinformationPage 2https://doi.org/10.1145/3643491.3665282In the summer of 2023, the Writers Guild of America embarked on what would become one of its longest strikes in history. Concurrently, the early stirrings of the presidential campaign saw several ads circulating with convincingly altered video and audio ...
- research-articleJune 2024
Explore the World of Audio Deepfakes: A Guide to Detection Techniques for Non-Experts
MAD '24: Proceedings of the 3rd ACM International Workshop on Multimedia AI against DisinformationPages 13–22https://doi.org/10.1145/3643491.3660289Audio deepfakes are becoming increasingly prevalent, posing a threat to companies who may fall victim to CEO fraud, as well as individuals who may be targeted by voice scams. As a result, the need for audio deepfake detectors is growing. While academic ...
- research-articleJune 2024
Introduction to Audio Deepfake Generation: Academic Insights for Non-Experts
MAD '24: Proceedings of the 3rd ACM International Workshop on Multimedia AI against DisinformationPages 3–12https://doi.org/10.1145/3643491.3660286With the advancement of artificial intelligence, the methods for generating audio deepfakes have improved, but the technology behind it has become more complex. Despite this, non-expert users are able to generate audio deepfakes due to the increased ...
- research-articleJune 2024
Whodunit: Detection and Attribution of Synthetic Images by Leveraging Model-specific Fingerprints
MAD '24: Proceedings of the 3rd ACM International Workshop on Multimedia AI against DisinformationPages 65–72https://doi.org/10.1145/3643491.3660280With increasingly easier access to large, pre-trained text-to-image models, a surge of synthetic images, often visually indistinguishable from natural images, can be observed. Since naturalistic, synthetic images can be misidentified as natural, a ...
- research-articleJune 2024
Disinformation detection and source tracking using semi-fragile watermarking and blockchain
EICC '24: Proceedings of the 2024 European Interdisciplinary Cybersecurity ConferencePages 136–143https://doi.org/10.1145/3655693.3655718A blind semi-fragile watermarking scheme for disinformation detection in online social media (OSM) is presented. The proposed scheme can be used for both images and videos. We also propose a blockchain-based framework for traceability and propagation ...
- research-articleJune 2024
COVID-19 Fake News: A Systematic Literature Review using “SmartLitReview”
Websci Companion '24: Companion Publication of the 16th ACM Web Science ConferencePages 69–74https://doi.org/10.1145/3630744.3663606In today’s information-rich world, researchers often find themselves overwhelmed by the sheer amount of data available. This can make it challenging for them to locate relevant publications that align with their research interests. To address this issue,...
- ArticleJuly 2024
Involving Society to Protect Society from Fake News and Disinformation: Crowdsourced Datasets and Text Reliability Assessment
- Gracjan Kątek,
- Marta Gackowska,
- Joanna Komorniczak,
- Paweł Ksieniewicz,
- Rafał Kozik,
- Marek Pawlicki,
- Michał Choraś
Intelligent Information and Database SystemsPages 384–395https://doi.org/10.1007/978-981-97-4985-0_30AbstractDetecting fake information is a complex and multi-faceted challenge concerning data gathering, processing, analysis and detection, as well as countering fake content distribution. On the one hand, fake content is created intentionally and ...
- research-articleMarch 2024
Fake news detection: Taxonomy and comparative study
AbstractThe proliferation of social networks has presented a significant challenge in combating the pervasive issue of fake news within modern societies. Due to the large amount of information and news produced daily in text, audio, and video, the ...
Highlights- Provides an up-to-date taxonomy for textual-based fake news detection perspective.
- Presents an empirical comparison between several feature extraction techniques and classification algorithms.
- Provides an error analysis to analyze ...
- research-articleMarch 2024
Does centralization of online content regulation affect political hate speech in a country? A public choice perspective
Highlights- Political hate speech is a threat to societal stability.
- Centralized online content regulation increases political hate speech.
- Centralization in online content regulation increases surveillance and disinformation, increasing ...
This study primarily examines how the centralization of online content regulation increases political hate speech in a country. It also explores the roles of the government's social media surveillance and disinformation in this relationship. ...
- research-articleMarch 2024
I'm not fluent: How linguistic fluency, new media literacy, and personality traits influence fake news engagement behavior on social media
AbstractDisinformation researchers have much to learn about the psychological factors that lead to users’ biases. The gap in users’ new media literacy, along with personality traits, are factors that may contribute to bias. We conducted an experiment ...
- review-articleMarch 2024
A systematic review on media bias detection: What is media bias, how it is expressed, and how to detect it
Expert Systems with Applications: An International Journal (EXWA), Volume 237, Issue PChttps://doi.org/10.1016/j.eswa.2023.121641AbstractMedia bias and the intolerance of media outlets and citizens to deal with opposing points of view pose a threat to the proper functioning of democratic processes. In this respect, we present a systematic review of the literature related to media ...
Highlights- 17 forms of media bias exists. It can be classified according to context or intention.
- A theoretical framework allows us to differentiate different misinformation problems.
- Transformers have outperformed RNNs when it comes to ...