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A unified perspective for disinformation detection and truth discovery in social sensing: a survey
F Xu, VS Sheng, M Wang - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
With the proliferation of social sensing, large amounts of observation are contributed by
people or devices. However, these observations contain disinformation. Disinformation can …
people or devices. However, these observations contain disinformation. Disinformation can …
Review of stance detection for rumor verification in social media
HF Alsaif, HD Aldossari - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Social media is a perfect breeding ground for false rumors due to the simplicity of sharing
information, which may have negative implications in a variety of domains, including …
information, which may have negative implications in a variety of domains, including …
Joint stance and rumor detection in hierarchical heterogeneous graph
Recently, large volumes of false or unverified information (eg, fake news and rumors)
appear frequently in emerging social media, which are often discussed on a large scale and …
appear frequently in emerging social media, which are often discussed on a large scale and …
Machine learning approaches for rumor detection on social media platforms: a comprehensive survey
VU Gongane, MV Munot, A Anuse - Advanced machine intelligence and …, 2022 - Springer
The inescapable utilization of Internet and social media has opened doors of social event
continuous data across the globe in an exceptionally limited capacity to focus time. Social …
continuous data across the globe in an exceptionally limited capacity to focus time. Social …
Fine-tune longformer for jointly predicting rumor stance and veracity
A Khandelwal - Proceedings of the 3rd ACM India Joint International …, 2021 - dl.acm.org
Increased usage of social media caused the popularity of news and events that are not even
verified, resulting in the spread of rumors all over the web. Due to widely available social …
verified, resulting in the spread of rumors all over the web. Due to widely available social …
Adaptive cost-sensitive stance classification model for rumor detection in social networks
Z Zojaji, B Tork Ladani - Social Network Analysis and Mining, 2022 - Springer
As online social networks are experiencing extreme popularity growth, determining the
veracity of online statements denoted by rumors automatically as earliest as possible is …
veracity of online statements denoted by rumors automatically as earliest as possible is …
Banner: a cost-sensitive contextualized model for bangla named entity recognition
I Ashrafi, M Mohammad, AS Mauree… - IEEE …, 2020 - ieeexplore.ieee.org
Named Entity Recognition (NER) is a task in Natural Language Processing (NLP) that aims
to classify words into a predetermined list of Named Entities (NE). Many architectures have …
to classify words into a predetermined list of Named Entities (NE). Many architectures have …
[HTML][HTML] Exploring the role of emotions in Arabic rumor detection in social media
HF Al-Saif, HZ Al-Dossari - Applied Sciences, 2023 - mdpi.com
With the increasing reliance on social media as a primary source of news, the proliferation of
rumors has become a pressing global concern that negatively impacts various domains …
rumors has become a pressing global concern that negatively impacts various domains …
[PDF][PDF] Web Futures: Inclusive, Intelligent, Sustainable The 2020 Manifesto for Web Science
This Manifesto was produced from the Perspectives Workshop 18262 entitled" 10 Years of
Web Science" that took place at Schloss Dagstuhl from June 24–29, 2018. At the Workshop …
Web Science" that took place at Schloss Dagstuhl from June 24–29, 2018. At the Workshop …
ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information
I Baris, Z Boukhers - Combating Online Hostile Posts in Regional …, 2021 - Springer
Social media platforms are vulnerable to fake news dissemination, which causes negative
consequences such as panic and wrong medication in the healthcare domain. Therefore, it …
consequences such as panic and wrong medication in the healthcare domain. Therefore, it …