A systematic literature review and meta-analysis of studies on online fake news detection
The ubiquitous access and exponential growth of information available on social media
networks have facilitated the spread of fake news, complicating the task of distinguishing …
networks have facilitated the spread of fake news, complicating the task of distinguishing …
A COVID-19 rumor dataset
2. Methods We collect rumors from a wide range of sources and refer to various authoritative
fact-checking platforms (for their comprehensive analysis), eg, poynter. org, factcheck. org …
fact-checking platforms (for their comprehensive analysis), eg, poynter. org, factcheck. org …
A literature review on detecting, verifying, and mitigating online misinformation
Social media use has transformed communication and made social interaction more
accessible. Public microblogs allow people to share and access news through existing and …
accessible. Public microblogs allow people to share and access news through existing and …
gdart: Improving rumor verification in social media with discrete attention representations
Due to the harmful impact of fabricated information on social media, many rumor verification
techniques have been introduced in recent years. Advanced techniques like multi-task …
techniques have been introduced in recent years. Advanced techniques like multi-task …
Deciphering the laws of social network-transcendent COVID-19 misinformation dynamics and implications for combating misinformation phenomena
The global rise of COVID-19 health risk has triggered the related misinformation infodemic.
We present the first analysis of COVID-19 misinformation networks and determine few of its …
We present the first analysis of COVID-19 misinformation networks and determine few of its …
An emotion-aware multitask approach to fake news and rumor detection using transfer learning
Social networking sites, blogs, and online articles are instant sources of news for internet
users globally. However, in the absence of strict regulations mandating the genuineness of …
users globally. However, in the absence of strict regulations mandating the genuineness of …
Rumor localization, detection and prediction in social network
With the global epidemic of the COVID-19, various rumors spread wantonly on social
networks, which has seriously affected the stability and harmony of the entire society. To …
networks, which has seriously affected the stability and harmony of the entire society. To …
[HTML][HTML] Role of artificial intelligence in peptide vaccine design against RNA viruses
E Mohanty, A Mohanty - Informatics in Medicine Unlocked, 2021 - Elsevier
RNA viruses have high rate of replication and mutation that help them adapt and change
according to their environmental conditions. Many viral mutants are the cause of various …
according to their environmental conditions. Many viral mutants are the cause of various …
Investigating the impact of emotion on temporal orientation in a deep multitask setting
S Kamila, M Hasanuzzaman, A Ekbal… - Scientific Reports, 2022 - nature.com
Temporal orientation is an important aspect of human cognition which shows how an
individual emphasizes past, present, and future. Theoretical research in psychology shows …
individual emphasizes past, present, and future. Theoretical research in psychology shows …
Deep learning models in detection of dietary supplement adverse event signals from Twitter
Objective The objective of this study is to develop a deep learning pipeline to detect signals
on dietary supplement-related adverse events (DS AEs) from Twitter. Materials and Methods …
on dietary supplement-related adverse events (DS AEs) from Twitter. Materials and Methods …