The future of false information detection on social media: New perspectives and trends

B Guo, Y Ding, L Yao, Y Liang, Z Yu - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
The massive spread of false information on social media has become a global risk, implicitly
influencing public opinion and threatening social/political development. False information …

Malicious accounts: Dark of the social networks

KS Adewole, NB Anuar, A Kamsin, KD Varathan… - Journal of Network and …, 2017 - Elsevier
Over the last few years, online social networks (OSNs), such as Facebook, Twitter and
Tuenti, have experienced exponential growth in both profile registrations and social …

The spread of true and false news online

S Vosoughi, D Roy, S Aral - science, 2018 - science.org
We investigated the differential diffusion of all of the verified true and false news stories
distributed on Twitter from 2006 to 2017. The data comprise~ 126,000 stories tweeted by~ 3 …

[PDF][PDF] Bot-hunter: a tiered approach to detecting & characterizing automated activity on twitter

DM Beskow, KM Carley - Conference paper. SBP-BRiMS …, 2018 - casos.cs.cmu.edu
As malicious automated agents, or bots, are increasingly used to manipulate the global
marketplace of information and beliefs, their detection, characterization, and at times …

A heterogeneous ensemble learning framework for spam detection in social networks with imbalanced data

C Zhao, Y Xin, X Li, Y Yang, Y Chen - Applied Sciences, 2020 - mdpi.com
The popularity of social networks provides people with many conveniences, but their rapid
growth has also attracted many attackers. In recent years, the malicious behavior of social …

Twitter spam account detection based on clustering and classification methods

KS Adewole, T Han, W Wu, H Song… - The Journal of …, 2020 - Springer
Twitter social network has gained more popularity due to the increase in social activities of
registered users. Twitter performs dual functions of online social network (OSN), acting as a …

Bot conversations are different: leveraging network metrics for bot detection in twitter

DM Beskow, KM Carley - 2018 IEEE/ACM International …, 2018 - ieeexplore.ieee.org
Automated social media bots have existed almost as long as the social media platforms they
inhabit. Although efforts have long existed to detect and characterize these autonomous …

Detecting harmful content on online platforms: what platforms need vs. where research efforts go

A Arora, P Nakov, M Hardalov, SM Sarwar… - ACM Computing …, 2023 - dl.acm.org
The proliferation of harmful content on online platforms is a major societal problem, which
comes in many different forms, including hate speech, offensive language, bullying and …

An exploratory study of twitter messages about software applications

E Guzman, R Alkadhi, N Seyff - Requirements Engineering, 2017 - Springer
Users of the Twitter microblogging platform share a considerable amount of information
through short messages on a daily basis. Some of these so-called tweets discuss issues …

The future of misinformation detection: new perspectives and trends

B Guo, Y Ding, L Yao, Y Liang, Z Yu - arXiv preprint arXiv:1909.03654, 2019 - arxiv.org
The massive spread of misinformation in social networks has become a global risk, implicitly
influencing public opinion and threatening social/political development. Misinformation …