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Characterizing Multi-Domain False News and Underlying User Effects on Chinese Weibo
[article]
2022
pre-print
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The code and new anonymized dataset are available at https://github.com/ICTMCG/Characterizing-Weibo-Multi-Domain-False-News. ...
Based on the distributions and spreads of the multi-domain dataset, we observe that false news in domains that are close to daily life like health and medicine generated more posts but diffused less effectively ...
Acknowledgments The authors thank Carole Bernard, Xirong Li, and Amrita Bhattacharjee for their proofreading and feedback on the manuscript. The ...
doi:10.1016/j.ipm.2022.102959
arXiv:2205.03068v1
fatcat:d62tj77re5eybcuronlfihwbdm
Misinformation vs. Situational Awareness: The Art of Deception and the Need for Cross-Domain Detection
2021
Sensors
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Our evaluation process is based on a set of criteria, including a predefined set of performance metrics, data pre-processing features, and domains of implementation. ...
This paper explores the evolving field of misinformation detection and analytics on information published in news articles, with an emphasis on methodologies that handle multiple dimensions of the fake ...
NewsWire,
SLN
(English)
LUN
(English)
Weibo
(Chinese)
RCED
(Chinese)
of Campina
Grande
Fake news
classification
based on
subjective
language
Multi-Cross
Domains (Politics, Sports, ...
doi:10.3390/s21165496
pmid:34450937
pmcid:PMC8401861
fatcat:r4u3jxnlabfh5jhs2qkx3zowzq
Evaluating Rumor Debunking Effectiveness During the COVID-19 Pandemic Crisis: Utilizing User Stance in Comments on Sina Weibo
2021
Frontiers in Public Health
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postings of five false rumors related to COVID-19 (dated from January 20, 2020, to June 28, 2020) belonging to three categories, authoritative, social, and political, on Sina Weibo in China were randomly ...
The spread of rumors related to COVID-19 on social media has posed substantial challenges to public health governance, and thus exposing rumors and curbing their spread quickly and effectively has become ...
False news around COVID-19 circulated less on Sina Weibo than on Twitter. How to overcome false information? Int Multidisc J Social Sci. ...
doi:10.3389/fpubh.2021.770111
pmid:34926388
pmcid:PMC8678741
fatcat:el5rp2lzmngjjme2dlosz4xkoe
The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans
[article]
2019
arXiv
pre-print
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of false information; 3) detecting and containing false information on the Web; and 4) false information on the political stage. ...
A new era of Information Warfare has arrived. ...
Acknowledgments This work is supported by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie "ENCASE" project (Grant Agreement No. 691025). ...
arXiv:1804.03461v3
fatcat:n6tcgwt3wfcpnlrcfiwrz7trj4
The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans
[article]
2018
Zenodo
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of false information; 3) detecting and containing false information on the Web; and 4) false information on the political stage. ...
A new era of Information Warfare has arrived. ...
[183] (B), Golbeck and Hansen [72] (B), Jackson and Welles [90] (P), Hegelich and Janetzko [81] (P), Zannettou et al. [193] (P) Howard and Kollanyi [88] (P), Shin et al. ...
doi:10.5281/zenodo.1479936
fatcat:ocyoy7z7dfcjzhhhxym47j5bhy
Research status of deep learning methods for rumor detection
2022
Multimedia tools and applications
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2022 pre-print arXiv:2204.11540v1 fatcat:4oeelrf3gnbmhnr7lgmut2ca4y
Besides, this work summarizes 30 works into 7 rumor detection methods such as propagation trees, adversarial learning, cross-domain methods, multi-task learning, unsupervised and semi-supervised methods ...
Then, this work divides deep learning models of rumor detection into CNN, RNN, GNN, Transformer based on the model structure, which is convenient for comparison. ...
Choosing a good embedding method plays an essential role in obtaining the underlying nature of news and successfully detecting false information on the Internet. ...
doi:10.1007/s11042-022-12800-8
pmid:35469150
pmcid:PMC9022167
fatcat:h5vjukpkyzdhnjhikgtpj347e4
TheWeb of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans
2018
Zenodo
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of false information; 3) detecting and containing false information on the Web; and 4) false information on the political stage. ...
A new era of Information Warfare has arrived. ...
Acknowledgments This work is supported by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie "ENCASE" project (Grant Agreement No. 691025). ...
doi:10.5281/zenodo.1216801
fatcat:tm3jtrnxurfqtbhccjkabjazci
"Why Drones for Ordinary People?" Digital Representations, Topic Clusters, and Techno-Nationalization of Drones on Zhihu
2019
Information
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Users engage in digital representational technologies publicly and collectively to raise questions and represent their views on new technologies. ...
At the same time, the sense-making process of drone-related discussions evokes emerging sets of narrative user identities with potential political effects. ...
Acknowledgments: We thank the chairs of the 2019 ICA Preconference Digital Asia for their encouraging feedback to this study and especially the support of Muneo Kaigo. ...
doi:10.3390/info10080256
fatcat:itcvethvlbhgzjkni33uyfifim
Online collective action in China: a new integrated framework
2016
Sociopedia
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Weibo is a type of China-based micro-blogging service and social network platform, based on relationships and sharing brief real-time information. 3. ...
Notes
'Netizens' refers to Internet users in China. ...
In the final section, we summarize the features of this new form of political participation for Chinese people and analyze its effects on social and political development in China. ...
doi:10.1177/205684601661
fatcat:7jlz5dpgujbynnay342rjspozu
Identifiability, Risk, and Information Credibility in Discussions on Moral/Ethical Violation Topics on Chinese Social Networking Sites
2020
Frontiers in Psychology
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In this study, we constructed a model based on the literature and tested it on a sample of 218 frequent SNS users. ...
One heated argument in recent years concerns whether requiring real name supervision on social media will inhibit users' participation in discoursing online speech. ...
To validate our hypotheses, we conducted a survey on the use of WeChat and Weibo by Chinese users. ...
doi:10.3389/fpsyg.2020.535605
pmid:33192777
pmcid:PMC7644537
fatcat:q5fbdzjlyrctzbmru4uon4vqta
Structured Learning from Heterogeneous Behavior for Social Identity Linkage
2015
IEEE Transactions on Knowledge and Data Engineering
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maximize the structure and behavior consistency on users' core social structure across different platforms, thus the task of identity linkage can be performed on groups of users, which is beyond the individual ...
matching against high noise and information missing, and the behavior similarity are described by multi-dimensional similarity vector for each user pair; (II) we build structure consistency models to ...
The authors also thank Jinbo Zhang and Ramayya Krishnan for valuable discussions and support. ...
doi:10.1109/tkde.2015.2397434
fatcat:vh2kmavkgrhcneipro2d2ydfii
Sentiment Analysis of Rumor Spread Amid COVID-19: Based on Weibo Text
2021
Healthcare
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rumors" after conducting topic model analysis on Weibo texts; in study 2, we explored the emotional changes of netizens before and after rumor dispelling information was released and found people's positive ...
., various rumors appeared and spread wildly, and the Internet became a hotbed of rumors. (2) Methods: the study selected Weibo as the research media, using topic models, time series analysis, sentiment ...
level and classifying the overall opinion on a multi-point scale. ...
doi:10.3390/healthcare9101275
pmid:34682955
fatcat:haktdfdv75fxnbelrxjw24oxpa
Rumor Detection with Self-supervised Learning on Texts and Social Graph
[article]
2022
arXiv
pre-print
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Extensive experiments on three real-world datasets validate the effectiveness of SRD for automatic rumor detection on social media. ...
In this work, we explore contrastive self-supervised learning on heterogeneous information sources, so as to reveal their relations and characterize rumors better. ...
[16] studies two new features, the client program used and event location, and extends the original work to Chinese. Ma et al. ...
arXiv:2204.08838v1
fatcat:ybmyd4ipxfh3zamwxcd53ha7k4
FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models
[article]
2024
arXiv
pre-print
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2023 pre-print arXiv:2310.05046v1 fatcat:rzhcxpri2rgdvovdtswccr7cgy
Explanation -- We obtain nine features to characterize fake news based on ChatGPT's explanations and analyze the distribution of these factors across multiple public datasets. ...
Consequently, we further probe into the potential extra information that could bolster its effectiveness in detecting fake news. ...
CHINESE RUMOR Dataset (Song et al., 2018) : This dataset is obtained from Weibo and contains Chinese rumors along with their original text and reposts or comments information. ...
arXiv:2310.05046v2
fatcat:sffnapfs2jarhcwbf7nwwz6bru
Towards Understanding the Information Ecosystem Through the Lens of Multiple Web Communities
[article]
2019
arXiv
pre-print
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community to another and how we can model and quantify the influence between Web communities; 2) characterizing the role of emerging Web communities and services on the Web, by studying Gab and two Web ...
news and memes. ...
To further study the problem, they collect data ,pertaining to a dispute between two big Chinese IT companies, from users of 2 popular Chinese news sites (namely Sohu [22] and
Systems Biased. ...
arXiv:1911.10517v1
fatcat:piuwv7zv7zghlof5tqhuhnukla
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