A systematic review on fake news research through the lens of news creation and consumption: Research efforts, challenges, and future directions

B Kim, A Xiong, D Lee, K Han - PloS one, 2021 - journals.plos.org
Background Although fake news creation and consumption are mutually related and can be
changed to one another, our review indicates that a significant amount of research has …

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 …

Artificial intelligence for social good: A survey

ZR Shi, C Wang, F Fang - arXiv preprint arXiv:2001.01818, 2020 - arxiv.org
Artificial intelligence for social good (AI4SG) is a research theme that aims to use and
advance artificial intelligence to address societal issues and improve the well-being of the …

Combating multimodal fake news on social media: methods, datasets, and future perspective

S Hangloo, B Arora - Multimedia systems, 2022 - Springer
The growth in the use of social media platforms such as Facebook and Twitter over the past
decade has significantly facilitated and improved the way people communicate with each …

PASTA: table-operations aware fact verification via sentence-table cloze pre-training

Z Gu, J Fan, N Tang, P Nakov, X Zhao, X Du - arXiv preprint arXiv …, 2022 - arxiv.org
Fact verification has attracted a lot of research attention recently, eg, in journalism,
marketing, and policymaking, as misinformation and disinformation online can sway one's …

Fake News Detection Tools and Methods--A Review

S Hangloo, B Arora - arXiv preprint arXiv:2112.11185, 2021 - arxiv.org
In the past decade, the social networks platforms and micro-blogging sites such as
Facebook, Twitter, Instagram, and Weibo have become an integral part of our day-to-day …

MSynFD: Multi-hop Syntax aware Fake News Detection

L Xiao, Q Zhang, C Shi, S Wang, U Naseem… - Proceedings of the ACM …, 2024 - dl.acm.org
The proliferation of social media platforms has fueled the rapid dissemination of fake news,
posing threats to our real-life society. Existing methods use multimodal data or contextual …

Assessment of bidirectional transformer encoder model and attention based bidirectional LSTM language models for fake news detection

A Choudhary, A Arora - Journal of Retailing and Consumer Services, 2024 - Elsevier
Fake news arouses to be untrue with the point of deceiving it openly which is now viewed as
the greatest threat to society by cultivating the political division and doubts in government …

Automatically detecting image–text mismatch on Instagram with deep learning

Y Ha, K Park, SJ Kim, J Joo, M Cha - Journal of Advertising, 2020 - Taylor & Francis
Visual social media have emerged as an essential brand communication channel for
advertisers and brands. The active use of hashtags has enabled advertisers to identify …

Emulating Reader Behaviors for Fake News Detection

J Yin, M Gao, K Shu, Z Zhao, Y Huang… - arXiv preprint arXiv …, 2023 - arxiv.org
The wide dissemination of fake news has affected our lives in many aspects, making fake
news detection important and attracting increasing attention. Existing approaches make …