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- ArticleSeptember 2024
Understanding the Challenges of Fake News in the Tourism and Travel Industry: A Systematic Literature Review
Disruptive Innovation in a Digitally Connected Healthy WorldPages 371–382https://doi.org/10.1007/978-3-031-72234-9_31AbstractFake news in the tourism industry can influence consumer behavior, expectations, and opinions about the destinations or entertainment options they want to visit. For these reasons, it is important to understand the impact of fake news on the ...
- introductionJune 2024
Report on the 1st Workshop on Diffusion of Harmful Content on Online Web (DHOW) at WebSci 2024
Websci Companion '24: Companion Publication of the 16th ACM Web Science ConferencePages 60–64https://doi.org/10.1145/3630744.3665312With the advancement of digital technologies and gadgets, online content has become easily accessible by users. At the same time, harmful content also spread widely. There are different harmful content types present on various platforms in multiple ...
- extended-abstractJune 2024
WarClaim: A Dataset for Fake News on 2023 Israel–Hamas war
Websci Companion '24: Companion Publication of the 16th ACM Web Science ConferencePages 19–21https://doi.org/10.1145/3630744.3658410The 2023 Israel-Hamas conflict began in early October 2023, and as the conflict progressed, various instances of fake news began spreading worldwide. Fake news appeared on different platforms and was in multiple languages. For the scientific study of ...
- articleJanuary 2024
Using the ELM to Explore the Impact of Fake News on Panic Vaccination Intention: Taiwan's COVID-19 Vaccination Phenomenon
Journal of Global Information Management (JGIM), Volume 32, Issue 1Pages 1–39https://doi.org/10.4018/JGIM.335487The study explores the effects of COVID-19 vaccine fake news on social media from the perspective of the elaboration likelihood model (ELM). The research model theorizes that factors of the central route and factors of the peripheral route influence ...
- research-articleJuly 2024
Ensembling Deep Learning Models for Fake News Classification
Procedia Computer Science (PROCS), Volume 235, Issue CPages 2766–2774https://doi.org/10.1016/j.procs.2024.04.261AbstractFake news remains one of the most pressing concerns of the current era for any citizen caring about political independence and the state of politics. In an implementation of NLP’s classic problems, we have set out to develop a stacked ensemble of ...
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- research-articleJuly 2024
Assamese Fake News Detection: A Comprehensive Exploration of LSTM and Bi-LSTM Techniques
Procedia Computer Science (PROCS), Volume 235, Issue CPages 2167–2177https://doi.org/10.1016/j.procs.2024.04.205AbstractThe spread of false information in the digital age has led to serious threats about the veracity and dependability of information traded online. Fake news can exacerbate social and political divisions, as it often targets specific groups or ...
- ArticleDecember 2023
Extraction News Components Methods for Fake News Correction
Information Integration and Web IntelligencePages 256–261https://doi.org/10.1007/978-3-031-48316-5_26AbstractThere is a lot of fake news on the internet, and it is important to extract and correct the misinformation from the fake news. The purpose of this research is to extract and correct which parts of the news are misinformation based on 5 Ws ...
- ArticleNovember 2023
Unveiling Truth Amidst the Pandemic: Multimodal Detection of COVID-19 Unreliable News
AbstractThe prevalence of social media as a primary news source raises concerns due to the rapid spread of fake news. A significant majority of Twitter users (59%) and Facebook users (54%) rely on these platforms for their day-to-day news consumption, as ...
- ArticleDecember 2023
OntoFD: A Generic Social Media Fake News Ontology
AbstractFake news has increased dramatically in recent years as a result of social media’s rapid and explosive expansion. To lessen their negative consequences, detecting them has become essential and a very busy and dynamic area of research. Despite the ...
- research-articleOctober 2023
Helping Fact-Checkers Identify Fake News Stories Shared through Images on WhatsApp
WebMedia '23: Proceedings of the 29th Brazilian Symposium on Multimedia and the WebPages 159–167https://doi.org/10.1145/3617023.3617045Digital news outlets have largely replaced traditional newspapers and television as the primary channels for information consumption in Brazil, and WhatsApp plays a crucial role in this context, by disseminating specific news stories. The creation of ...
- ArticleSeptember 2023
Barriers to the Introduction of Artificial Intelligence to Support Communication Experts in Media and the Public Sector to Combat Fake News and Misinformation
AbstractPublic trust represents a cornerstone of today’s democracies, their media, and institutions and in the search for consensus among different actors. However, the deliberate and non-deliberate spreading of misinformation and fake news severely ...
- research-articleSeptember 2023
Leveraging Socio-contextual Information in BERT for Fake Health News Detection in Social Media
OASIS '23: Proceedings of the 3rd International Workshop on Open Challenges in Online Social NetworksPages 38–46https://doi.org/10.1145/3599696.3612902Fake news is a major challenge in social media, particularly in the health domain where it can lead to severe consequences for both individuals and society as a whole. To contribute to combating this problem, we present a novel solution for improving ...
- ArticleAugust 2023
On the Design of a Misinformation Widget (MsW) Against Cloaked Science
AbstractAmongst all types of fabricated information travelling on open social networks, scientific disinformation, or cloaked science, is both insidious and challenging to be investigated. Here we present the design of the TRESCA misinformation widget (...
- articleJuly 2023
A Machine Learning Technique for Detection of Social Media Fake News
International Journal on Semantic Web & Information Systems (IJSWIS-IGI), Volume 19, Issue 1Pages 1–25https://doi.org/10.4018/IJSWIS.326120The emergence of the Internet and the growing development of online platforms (like Facebook and Instagram) opened the way for disseminating information that hasn't been experienced in the history of mankind earlier. Consumers generate and share more ...
- research-articleJuly 2023
A novel evolutionary approach-based multimodal model to detect fake news in OSNs using text and metadata
The Journal of Supercomputing (JSCO), Volume 80, Issue 2Pages 1522–1553https://doi.org/10.1007/s11227-023-05531-6AbstractSocial networks are the primary source of information sharing, and with the abundant availability of the internet, more and more information is being dumped into social networks from various sources. There is no proper credibility check, so social ...
- ArticleJuly 2023
DeBERTNeXT: A Multimodal Fake News Detection Framework
AbstractWith the ease of access and sharing of information on social media platforms, fake news or misinformation has been spreading in different formats, including text, image, audio, and video. Although there have been a lot of approaches to detecting ...
- research-articleApril 2023
Who Funds Misinformation? A Systematic Analysis of the Ad-related Profit Routines of Fake News Sites
WWW '23: Proceedings of the ACM Web Conference 2023Pages 2765–2776https://doi.org/10.1145/3543507.3583443Fake news is an age-old phenomenon, widely assumed to be associated with political propaganda published to sway public opinion. Yet, with the growth of social media, it has become a lucrative business for Web publishers. Despite many studies performed ...
- research-articleApril 2023
Longitudinal Assessment of Reference Quality on Wikipedia
- Aitolkyn Baigutanova,
- Jaehyeon Myung,
- Diego Saez-Trumper,
- Ai-Jou Chou,
- Miriam Redi,
- Changwook Jung,
- Meeyoung Cha
WWW '23: Proceedings of the ACM Web Conference 2023Pages 2831–2839https://doi.org/10.1145/3543507.3583218Wikipedia plays a crucial role in the integrity of the Web. This work analyzes the reliability of this global encyclopedia through the lens of its references. We operationalize the notion of reference quality by defining reference need (RN), i.e., the ...
- articleApril 2023
Impact of Human and Economic Development on Fake News Propensity During the COVID-19 Crisis: A Cross-Country Analysis
Journal of Global Information Management (JGIM), Volume 31, Issue 5Pages 1–19https://doi.org/10.4018/JGIM.322401The advent of the COVID-19 pandemic augmented the propensity for fake news globally. Today, over 90% of the global population depends on the internet for information. However, there is an enormous difference in fake news propensity in different ...
- research-articleMarch 2023
Development and validation of a scale for assessing university students' new online media and reporting literacy
Education and Information Technologies (KLU-EAIT), Volume 28, Issue 10Pages 13569–13594https://doi.org/10.1007/s10639-023-11730-8AbstractNew media literacy is an expected competency for university students. However, few literacy scales can evaluate students' fake news reporting and checking abilities. In the past, the new media literacy framework only included Critical Consuming, ...