An overview of online fake news: Characterization, detection, and discussion

X Zhang, AA Ghorbani - Information Processing & Management, 2020 - Elsevier
Over the recent years, the growth of online social media has greatly facilitated the way
people communicate with each other. Users of online social media share information …

A survey of fake news: Fundamental theories, detection methods, and opportunities

X Zhou, R Zafarani - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
The explosive growth in fake news and its erosion to democracy, justice, and public trust has
increased the demand for fake news detection and intervention. This survey reviews and …

Shifting attention to accuracy can reduce misinformation online

G Pennycook, Z Epstein, M Mosleh, AA Arechar… - Nature, 2021 - nature.com
In recent years, there has been a great deal of concern about the proliferation of false and
misleading news on social media–. Academics and practitioners alike have asked why …

[HTML][HTML] An exploratory study of COVID-19 misinformation on Twitter

GK Shahi, A Dirkson, TA Majchrzak - Online social networks and media, 2021 - Elsevier
During the COVID-19 pandemic, social media has become a home ground for
misinformation. To tackle this infodemic, scientific oversight, as well as a better …

Conspiracy in the time of corona: automatic detection of emerging COVID-19 conspiracy theories in social media and the news

S Shahsavari, P Holur, T Wang, TR Tangherlini… - Journal of computational …, 2020 - Springer
Rumors and conspiracy theories thrive in environments of low confidence and low trust.
Consequently, it is not surprising that ones related to the COVID-19 pandemic are …

[HTML][HTML] Bots and misinformation spread on social media: Implications for COVID-19

MK Himelein-Wachowiak, S Giorgi, A Devoto… - Journal of medical …, 2021 - jmir.org
As of March 2021, the SARS-CoV-2 virus has been responsible for over 115 million cases of
COVID-19 worldwide, resulting in over 2.5 million deaths. As the virus spread exponentially …

A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks

D Antonakaki, P Fragopoulou, S Ioannidis - Expert Systems with …, 2021 - Elsevier
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

Fakenewsnet: A data repository with news content, social context, and spatiotemporal information for studying fake news on social media

K Shu, D Mahudeswaran, S Wang, D Lee, H Liu - Big data, 2020 - liebertpub.com
Social media has become a popular means for people to consume and share the news. At
the same time, however, it has also enabled the wide dissemination of fake news, that is …

Going viral: How a single tweet spawned a COVID-19 conspiracy theory on Twitter

A Gruzd, P Mai - Big Data & Society, 2020 - journals.sagepub.com
In late March of 2020, a new hashtag,# FilmYourHospital, made its first appearance on
social media. The hashtag encouraged people to visit local hospitals to take pictures and …

Weaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate

DA Broniatowski, AM Jamison… - … journal of public …, 2018 - ajph.aphapublications.org
Objectives. To understand how Twitter bots and trolls (“bots”) promote online health content.
Methods. We compared bots' to average users' rates of vaccine-relevant messages, which …