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The internet gives the world an open platform to express their views and share their stories. While this is very valuable, it makes fake news one of our society's most pressing problems. Manual fact checking process is time consuming, which…

Twitter has become a vital social media platform while an ample amount of malicious Twitter bots exist and induce undesirable social effects. Successful Twitter bot detection proposals are generally supervised, which rely heavily on…

Social and Information Networks · Computer Science 2021-08-30 Shangbin Feng , Herun Wan , Ningnan Wang , Jundong Li , Minnan Luo

Peer influence and social contagion are key denominators in the adoption and participation of information spreading, such as news propagation, word-of-mouth or viral marketing. In this study, we argue that it is biased to only focus on the…

Physics and Society · Physics 2019-07-30 Xin Lu , Shuo Qin , Petter Holme , Fanhui Meng , Yanqing Hu , Fredrik Liljeros , Gad Allon

One of the new developments in chit-chat bots is a long-term memory mechanism that remembers information from past conversations for increasing engagement and consistency of responses. The bot is designed to extract knowledge of personal…

Computation and Language · Computer Science 2023-04-12 Conor Atkins , Benjamin Zi Hao Zhao , Hassan Jameel Asghar , Ian Wood , Mohamed Ali Kaafar

With the rapid development of COVID-19 around the world, people are requested to maintain "social distance" and "stay at home". In this scenario, extensive social interactions transfer to cyberspace, especially on social media platforms…

Social and Information Networks · Computer Science 2020-10-13 Yong Hu , Heyan Huang , Anfan Chen , Xian-Ling Mao

In recent years, disinformation including fake news, has became a global phenomenon due to its explosive growth, particularly on social media. The wide spread of disinformation and fake news can cause detrimental societal effects. Despite…

Social and Information Networks · Computer Science 2020-01-06 Kai Shu , Suhang Wang , Dongwon Lee , Huan Liu

Content polluters, or bots that hijack a conversation for political or advertising purposes are a known problem for event prediction, election forecasting and when distinguishing real news from fake news in social media data. Identifying…

Social and Information Networks · Computer Science 2018-04-18 Mehwish Nasim , Andrew Nguyen , Nick Lothian , Robert Cope , Lewis Mitchell

A recent article in $\textit{Science}$ by Guess et al. estimated the effect of Facebook's news feed algorithm on exposure to misinformation and political information among Facebook users. However, its reporting and conclusions did not…

Social and Information Networks · Computer Science 2024-11-20 Chhandak Bagchi , Filippo Menczer , Jennifer Lundquist , Monideepa Tarafdar , Anthony Paik , Przemyslaw A. Grabowicz

SinaWeibo is a Twitter-like social network service emerging in China in recent years. People can post weibos (microblogs) and communicate with others on it. Based on a dataset of 650 million weibos from August 2009 to January 2012 crawled…

Social and Information Networks · Computer Science 2013-05-13 Yuan Li , Haoyu Gao , Mingmin Yang , Wanqiu Guan , Haixin Ma , Weining Qian , Zhigang Cao , Xiaoguang Yang

As breaking news unfolds people increasingly rely on social media to stay abreast of the latest updates. The use of social media in such situations comes with the caveat that new information being released piecemeal may encourage rumours,…

Social and Information Networks · Computer Science 2016-04-27 Arkaitz Zubiaga , Maria Liakata , Rob Procter , Geraldine Wong Sak Hoi , Peter Tolmie

With the advent of social media, an increasing number of netizens are sharing and reading posts and news online. However, the huge volumes of misinformation (e.g., fake news and rumors) that flood the internet can adversely affect people's…

Computation and Language · Computer Science 2024-02-15 Zhiwei Liu , Tianlin Zhang , Kailai Yang , Paul Thompson , Zeping Yu , Sophia Ananiadou

The problem of how to effectively mitigate the flow of misinformation remains a significant challenge. The classical approach to this is public disapproval of claims or "debunking." The approach is still widely used on social media, but it…

Human-Computer Interaction · Computer Science 2025-05-13 Huiyun Tang , Anastasia Sergeeva

In recent years, algorithms have been incorporated into fact-checking pipelines. They are used not only to flag previously fact-checked misinformation, but also to provide suggestions about which trending claims should be prioritized for…

Computers and Society · Computer Science 2023-02-10 Terrence Neumann , Nicholas Wolczynski

To curb the spread of fake news on social media platforms, recent studies have considered an online crowdsourcing fact-checking approach as one possible intervention method to reduce misinformation. However, it remains unclear under what…

Physics and Society · Physics 2022-06-10 Matthew I Jones , Scott D. Pauls , Feng Fu

There has been a tremendous rise in the growth of online social networks all over the world in recent years. It has facilitated users to generate a large amount of real-time content at an incessant rate, all competing with each other to…

Social and Information Networks · Computer Science 2013-12-04 Louis Lei Yu , Sitaram Asur , Bernardo A. Huberman

Anthropomorphic social bots are engineered to emulate human verbal communication and generate toxic or inflammatory content across social networking services (SNSs). Bot-disseminated misinformation could subtly yet profoundly reshape…

Computers and Society · Computer Science 2024-05-14 Wentao Xu , Kazutoshi Sasahara , Jianxun Chu , Bin Wang , Wenlu Fan , Zhiwen Hu

With the prevalence of misinformation online, researchers have focused on developing various machine learning algorithms to detect fake news. However, users' perception of machine learning outcomes and related behaviors have been widely…

Human-Computer Interaction · Computer Science 2019-11-28 Limeng Cui

Fake news can have a significant negative impact on society because of the growing use of mobile devices and the worldwide increase in Internet access. It is therefore essential to develop a simple mathematical model to understand the…

Social and Information Networks · Computer Science 2021-04-28 Taichi Murayama , Shoko Wakamiya , Eiji Aramaki , Ryota Kobayashi

The proliferation of online misinformation has emerged as one of the biggest threats to society. Considerable efforts have focused on building misinformation detection models, still the perils of misinformation remain abound. Mitigating…

Computation and Language · Computer Science 2024-01-19 Mohit Chandra , Anush Mattapalli , Munmun De Choudhury

The spread of misinformation on social media platforms threatens democratic processes, contributes to massive economic losses, and endangers public health. Many efforts to address misinformation focus on a knowledge deficit model and…

Computation and Language · Computer Science 2024-10-16 Saadia Gabriel , Liang Lyu , James Siderius , Marzyeh Ghassemi , Jacob Andreas , Asu Ozdaglar
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