Detecting spammers on social networks

Cited by (783)

Items 301–400 of 783

1. An Ensemble Learning Approach for Addressing the Class Imbalance Problem in Twitter Spam Detection
   Shigang Liu, Yu Wang, Chao Chen, Yang Xiang · 2016 · Lecture notes in computer science
2. MulBot: Unsupervised Bot Detection Based on Multivariate Time Series
   Lorenzo Mannocci, Stefano Cresci, Anna Monreale, Athena I. Vakali, Maurizio Tesconi · 2022 · IEEE International Conference on Big Data (BigData)
3. Not every friend on a social network can be trusted: Classifying imposters using decision trees
   Simon James Fong, Yan Zhuang, Jiaying He · 2012 · International Conference on Future Generation Communication Technologies (FGCT)
4. Automatic Fake Followers Detection in Chinese Micro-blogging System
   Yi Shen, Jianjun Yu, Kejun Dong, Kai Nan · 2014 · Lecture notes in computer science
5. Using Social Media to Detect Fake News Information Related to Product Marketing: The FakeAds Corpus
   Noha Alnazzawi, Najlaa Alsaedi, Fahad Alharbi, Najla Alaswad · 2022 · Data
6. Filtering spam in Weibo using ensemble imbalanced classification and knowledge expansion
   Zhipeng Jin, Qiudan Li, Daniel Dajun Zeng, Lei Wang · 2015 · IEEE International Conference on Intelligence and Security Informatics (ISI)
7. Indirect Information Linkage for OSINT through Authorship Analysis of Aliases
   Robert Layton, Charles Pérez, Babiga Birregah, Paul Watters, Marc Lemercier · 2013 · Lecture notes in computer science
8. Beating the Artificial Chaos: Fighting OSN Spam Using Its Own Templates
   Tiantian Zhu, Hongyu Gao, Yang Yi, Kai Bu, Yan Chen, Doug Downey, Kathy Lee, Alok Choudhary · 2016 · IEEE/ACM Transactions on Networking
9. The power of comments: fostering social interactions in microblog networks
   Tianyi Wang, Yang Chen, Yi Wang, Bolun Wang, Gang Wang, Xing Li, Hai-Tao Zheng, Ben Y. Zhao · 2016 · Frontiers of Computer Science
10. What's in a Name?
    Enrico Mariconti, Jeremiah O. Onaolapo, Syed Sharique Ahmad, Nicolas Nikiforou, Manuel Egele, Nick Nikiforakis, Gianluca Stringhini · 2017 · International World Wide Web Conference (WWW)
11. An Evolutionary Computation Approach for Twitter Bot Detection
    Luigi Rovito, Lorenzo Bonin, Luca Manzoni, Andrea De Lorenzo · 2022 · Applied Sciences
12. Privacy threat modeling framework for online social networks
    Yong Wang, Raj Kumar Nepali · 2015 · International Conference on Collaboration Technologies and Systems (CTS)
13. Spam Users Identification in Wikipedia Via Editing Behavior
    Thomas Green, Francesca Spezzano · 2017 · Proceedings of the International AAAI Conference on Web and Social Media
14. LOBO -- Evaluation of Generalization Deficiencies in Twitter Bot Classifiers
    Juan Echeverría, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Gianluca Stringhini, Shi Zhou · 2018 · arXiv (Cornell University)
15. A Survey On Spam URLs Detection In Twitter
    Wafaa Daffa, Omaimah Omar Bamasag, Amal Abdullah AlMansour · 2018 · International Conference on Computer Applications & Information Security (ICCAIS)
16. Guided socialbots: Infiltrating the social networks of specific organizations’ employees
    Aviad Elyashar, Michael Fire, Dima Kagan, Yuval Elovici · 2014 · AI Communications
17. Feature Analysis of Spammers in Social Networks with Active Honeypots: A Case Study of Chinese Microblogging Networks
    Yi Zhou, Kai Chen, Li Song, Xiaokang Yang, Jianhua He · 2012 · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
18. Social Privacy Protector - Protecting Users' Privacy in Social Networks
    Michael Fire, Dima Kagan, Aviad Elishar, Yuval Elovici · 2012
19. Ensemble Decision for Spam Detection Using Term Space Partition Approach
    Ying Tan, Quanbin Wang, Guyue Mi · 2018 · IEEE Transactions on Cybernetics
20. I call BS: Fraud Detection in Crowdfunding Campaigns
    Beatrice Perez, Sara Machado, Jerone T. A. Andrews, Nicolas Kourtellis · 2022 · ACM Web Science Conference (WebSci)
21. Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks
    Yangyi Chen, Fanchao Qi, Hongcheng Gao, Zhiyuan Liu, Maosong Sun · 2022 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
22. Threshold and Associative Based Classification for Social Spam Profile Detection on Twitter
    Willian Hua, Yanqing Zhang · 2013 · International Conference on Semantics, Knowledge and Grid (SKG)
23. Sybil Detection in Social-Activity Networks: Modeling, Algorithms and Evaluations
    Xiaoying Zhang, Hong Ling Xie, John C. S. Lui · 2018 · IEEE International Conference on Network Protocols (ICNP)
24. Interaction-Based Behavioral Analysis of Twitter Social Network Accounts
    Hafzullah İş, Taner Tuncer · 2019 · Applied Sciences
25. Followers or Phantoms? An Anatomy of Purchased Twitter Followers
    Anupama Aggarwal, Ponnurangam Kumaraguru · 2014 · arXiv (Cornell University)
26. Honey Sheets: What Happens to Leaked Google Spreadsheets?
    Martin Lazarov, Jeremiah O. Onaolapo, Gianluca Stringhini · 2016 · arXiv (Cornell University)
27. Automatically Dismantling Online Dating Fraud
    Suarez-Tangil, Guillermo, Edwards, Matthew, Peersman, Claudia, Stringhini, Gianluca, Rashid, Awais, Whitty, Monica · 2020 · IEEE Transactions on Information Forensics and Security
28. Detecting cooperative and organized spammer groups in micro-blogging community
    Qi Dang, Yadong Zhou, Feng Gao, Qindong Sun · 2016 · Data Mining and Knowledge Discovery
29. A Framework for Detecting Cloning Attacks in OSN Based on a Novel Social Graph Topology
    Ali Meligy, Hani M. Ibrahim, Mohamed F. Torky · 2015 · International Journal of Intelligent Systems and Applications
30. A Mood Analysis on Youtube Comments and a Method for Improved Social Spam Detection
    Enaitz Ezpeleta, Mikel Iturbe, Iñaki Garitano, Iñaki Vélez De Mendizabal, Urko Zurutuza · 2018 · Lecture notes in computer science
31. Deceptive Previews: A Study of the Link Preview Trustworthiness in Social Platforms
    Giada Stivala, Giancarlo Pellegrino · 2020 · Network and Distributed System Security Symposium
32. A Study of Friend Abuse Perception in Facebook
    Sajedul Karim Talukder, Bogdan Cărbunar · 2020 · ACM Transactions on Social Computing
33. Towards Learning-Based, Content-Agnostic Detection of Social Bot Traffic
    Yebo Feng, Jun Li, Lei Jiao, Xintao Wu · 2020 · IEEE Transactions on Dependable and Secure Computing
34. Enhancing Twitter spam accounts discovery using cross-account pattern mining
    Ioana-Alexandra Bara, Carol Fung, Thang N. Dinh · 2015 · IFIP/IEEE International Symposium on Integrated Network Management (IM)
35. Assessing perceived organizational leadership styles through twitter text mining
    Agostino La Bella, Andrea Fronzetti Colladon, Elisa Battistoni, Silvia Castellan, Matteo Francucci · 2017 · Journal of the Association for Information Science and Technology
36. Reverse Engineering the Behaviour of Twitter Bots
    Bello Shehu Bello, R. Heckel, Leandro L. Minku · 2018 · International Conference on Social Networks Analysis, Management and Security
37. Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks
    Zenghua Xia, Chang Liu, Neil Zhenqiang Gong, Qi Lecky Li, Yong Cui, Dawn Xiaodong Song · 2019 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
38. Analysis and detection of spam accounts in social networks
    Chen Liu, Genying Wang · 2016 · IEEE International Conference on Computer and Communications (ICCC)
39. Reshaping the urban hierarchy: patterns of information diffusion on social media
    Jiue‐An Yang, Ming‐Hsiang Tsou, Krzysztof Janowicz, Keith Clarke, Piotr L. Jankowski · 2019 · Geo-spatial Information Science
40. Forecasting Dengue Fever Using Machine Learning Regression Techniques
    Qanita Bani Baker, Dalya Faraj, Alanoud Alguzo · 2021 · International Conference on Information and Communication Systems (ICICS)
41. Characterizing Retweet Bots: The Case of Black Market Accounts
    Tuğrulcan Elmas, Rebekah Overdorf, Karl Aberer · 2022 · Proceedings of the International AAAI Conference on Web and Social Media
42. Detecting spam tweets using machine learning and effective preprocessing
    Berk Kardaş, İsmail Erdem Bayar, Tansel Özyer, Reda Alhajj · 2021 · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
43. Enhancing Sybil Detection via Social-Activity Networks: A Random Walk Approach
    Xiaoying Zhang, Hong Ling Xie, Pei Yi, John C. S. Lui · 2022 · IEEE Transactions on Dependable and Secure Computing
44. A dynamic approach to detecting suspicious profiles on social platforms
    Charles Pérez, Marc Lemercier, Babiga Birregah · 2013 · IEEE International Conference on Communications workshops
45. Anomaly detection in Online Social Networks using structure-based technique
    Abdolazim Rezaei, Zarinah Mohd Kasirun, Vala Ali Rohani, Touraj Khodadadi · 2013 · International Conference for Internet Technology and Secured Transactions
46. A security approach for social networks based on honeypots
    Younès El Bouzekri El Idrissi, Fatna Elmendili, Maqrane Nisrine · 2016 · IEEE Congress on Information Science and Technology (CiSt)
47. Under and over the surface: a comparison of the use of leaked account credentials in the Dark and Surface Web
    Dario Adriano Bermudez Villalva, Jeremiah O. Onaolapo, Gianluca Stringhini, Mirco Musolesi · 2018 · Crime Science
48. On some Challenges for Online Trust and Reputation Systems
    Mozhgan Tavakolifard · 2012 · NORA - Norwegian Open Research Archives
49. Hunting Organization-Targeted Socialbots
    Abigail Paradise Vit, Asaf Shabtai, Rami Puzis · 2015 · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
50. Accou2vec: A Social Bot Detection Model Based on Community Walk
    Feng Liu, Chunfang Yang, Zhenyu Li, Daofu Gong, Fenlin Liu · 2023 · IEEE Transactions on Dependable and Secure Computing
51. Searching for Spam: Detecting Fraudulent Accounts via Web Search
    Marcel Flores, Aleksandar Kuzmanovic · 2013 · Lecture notes in computer science
52. Classifier Ensembles Using Structural Features For Spammer Detection In Online Social Networks
    Muhammad Abulaish, Sajid Yousuf Bhat · 2015 · Foundations of Computing and Decision Sciences
53. A multi-feature approach to detect Stegobot: a covert multimedia social network botnet
    Natarajan Venkatachalam, R. Anitha · 2016 · Multimedia Tools and Applications
54. Distance-based customer detection in fake follower markets
    Boyeon Jang, Sihyun Jeong, Chong-kwon Kim · 2018 · Information Systems
55. Challenges in the Analysis of Online Social Networks: A Data Collection Tool Perspective
    Anuradha Goswami, Ajey Kumar · 2017 · Wireless Personal Communications
56. Information Communication Technologies
    2020 · Springer eBooks
57. Identification of Spambots and Fake Followers on Social Network via Interpretable AI-Based Machine Learning
    Danish Javed, Noor Zaman Jhanjhi, Navid Ali Khan, Sayan Kumar Ray, Arafat Al-Dhaqm, Victor Rigworo Kebande · 2025 · IEEE Access
58. Detecting and Validating Sybil Groups in the Wild
    Jing Jiang, Zifei Shan, Wenpeng Sha, Xiao Wang, Yafei Dai · 2012 · IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW)
59. LSSL-SSD: Social Spammer Detection with Laplacian Score and Semi-supervised Learning
    Wentao Li, Min Gao, Wenge Rong, Junhao Wen, Qingyu Xiong, Bin Ling · 2016 · Lecture notes in computer science
60. A novel framework for internet of knowledge protection in social networking services
    Shailendra Rathore, Arun Kumar Sangaiah, Jong Hyuk Park · 2017 · Journal of Computational Science
61. “TwitterSpamDetector”
    Abdullah Talha Kabakuş, Resul Kara · 2019 · International Journal of Knowledge and Systems Science
62. Poultry markets
    Gianluca Stringhini, Manuel Egele, Christopher Kruegel, Giovanni Vigna · 2012 · ACM SIGCOMM Computer Communication Review
63. Overview of Web Spammer Detection
    Qian Mo, Ke Yang · 2014
64. Political polarization on Twitter during the COVID-19 pandemic: a case study in Brazil
    Pedro P. V. Brum, Matheus Cândido Teixeira, Renato Vimieiro, Eric Fernandes de Mello Araújo, Wagner Meira, Gisele Lobo Pappa · 2022 · Social Network Analysis and Mining
65. Demystifying the underground ecosystem of account registration bots
    Yuhao Gao, Guoai Xu, Li Li, Xiapu Luo, Chenyu Wang, Yulei Sui · 2022 · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)
66. BEAN: A BEhavior ANalysis Approach of URL Spam Filtering in Twitter
    Wang De, Calton Pu · 2015 · IEEE International Conference on Information Reuse and Integration (IRI)
67. Detecting Linkedin Spammers and its Spam Nets
    V ́ictor M., Manuel A´, Fidel Cacheda · 2013 · International Journal of Advanced Computer Science and Applications
68. Efficient decision support for detecting content polluters on social networks: an approach based on automatic knowledge acquisition from behavioral patterns
    Byung Joon Park, Jin Seop Han · 2015 · Information Technology and Management
69. Towards Anomalous Diffusion Sources Detection in a Large Network
    Peng Zhang, Jing He, Guodong Long, Guangyan Huang, Chengqi Zhang · 2016 · ACM Transactions on Internet Technology
70. Spam detection in social networks: A review
    Nasim Eshraqi, Mehrdad Jalali, Mohammad Hossein Moattar · 2015 · International Congress on Technology, Communication and Knowledge
71. A Domain-Agnostic Approach to Spam-URL Detection via Redirects
    Heeyoung Kwon, Mirza Basim Baig, Leman Akoglu · 2017 · Lecture notes in computer science
72. Supervised Classification of Social Spammers using a Similarity-based Markov Random Field Approach
    Nour El-Mawass, Paul Honeiné, Laurent Vercouter · 2018 · Multidisciplinary International Social Networks Conference (MISNC)
73. Under the Shadow of Sunshine
    Srishti Gupta, Dhruv Kuchhal, Payas Gupta, Mustaque Ahamad, Manish Gupta, Ponnurangam Kumaraguru · 2018 · ACM Web Science Conference (WebSci)
74. Assisted Labeling for Spam Account Detection on Twitter
    Federico Concone, Giuseppe Lo Re, Marco Morana, Claudio Ruocco · 2019 · IEEE International Conference on Smart Computing
75. Bot Detection on Social Networks Using Persistent Homology
    Minh Nguyen, Mehmet Emin Aktas, Esra Akbaş · 2020 · Mathematical and Computational Applications
76. Detecting Spam in Twitter Microblogging Services: A Novel Machine Learning Approach based on Domain Popularity
    Khalid A. Binsaeed, Gianluca Stringhini, E. Ahmed · 2020 · International Journal of Advanced Computer Science and Applications
77. Leveraging node neighborhoods and egograph topology for better bot detection in social graphs
    Björn Bebensee, Nagmat Nazarov, Byoung‐Tak Zhang · 2021 · Social Network Analysis and Mining
78. A Novel Twitter Spam Detection Technique by Integrating Inception Network with Attention based LSTM
    M. V. Neha, Prof. (Dr.) Madhu S. Nair · 2021 · International Conference on Trends in Electronics and Informatics (ICOEI)
79. A study of the personalization of spam content using Facebook public information
    Enaitz Ezpeleta, Urko Zurutuza, José María Gómez Hidalgo · 2016 · Logic Journal of IGPL
80. Detecting spam comments posted in micro-blogs using the self-extensible spam dictionary
    Chenwei Liu, Jiawei Wang, Kai Lei · 2016 · International Conference on Communications
81. Sentiment Based Twitter Spam Detection
    Nasira Perveen, Malik M., Qaisar Rasool, Nadeem Akhtar · 2016 · International Journal of Advanced Computer Science and Applications
82. Performance Evaluation of Machine Learning Algorithms for Spam Profile Detection on Twitter Using WEKA and RapidMiner
    Hazim Hanif, Kayode S. Adewole, Nor Badrul Anuar, Amirrudin Kamsin · 2018 · Advanced Science Letters
83. FraudVis: Understanding Unsupervised Fraud Detection Algorithms
    Jiao Sun, Qixin Zhu, Zhifei Liu, Xin Liu, Jihae Lee, Zhigang Su, Lei Shi, Ling Huang, Wei Xu · 2018 · IEEE Pacific Visualization Symposium
84. Deceptive Deletions for Protecting Withdrawn Posts on Social Media Platforms
    Mohsen Minaei, S. Chandra Mouli, Mainack Mondal, Bruno Ribeiro, Aniket Kate · 2021 · Network and Distributed System Security Symposium
85. A Survey of Spam Bots Detection in Online Social Networks
    Zineb Ellaky, Faouzia Benabbou, Sara Ouahabi, Nawal Sael · 2021 · International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)
86. Hiding in plain sight: Characterizing and detecting malicious Facebook pages
    Prateek Dewan, Shrey Bagroy, Ponnurangam Kumaraguru · 2016 · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
87. On how VoIP attacks foster the malicious call ecosystem
    Javier Carrillo-Mondéjar, José Luis Martínez, Guillermo Suárez‐Tangil · 2022 · Computers & Security
88. A smartphone-based online social network trust evaluation system
    Charles Pérez, Babiga Birregah, Marc Lemercier · 2013 · Social Network Analysis and Mining
89. User identification via neural network based language models
    Tien D. Phan, Nur Zincir-Heywood · 2018 · International Journal of Network Management
90. Opinion leaders’ prediction for monitoring the product reputation
    Fatima Zohra Ennaji, Abdelaziz El Fazziki, Hasna El Alaoui El Abdallaoui, Djamal Benslimane, Mohamed Sadgal · 2018 · International Journal of Web Information Systems
91. Structural-Spectral-Based Approach for Anomaly Detection in Facebook Network: Iraqi Demonstrations Case Study
    Basim Mohammed Mahmood, Mafaz Mohsin Khalil Alanezi · 2021 · International Journal of Computing and Digital Systems
92. Using Trust Model for Detecting Malicious Activities in Twitter
    Mohini Agarwal, Bin Zhou · 2014 · Lecture notes in computer science
93. Modeling the Propagation of Trojan Malware in Online Social Networks
    Mohammad Reza Faghani, Nugyen, Uyen Trang · 2017 · arXiv (Cornell University)
94. Privacy Preserving Recommendation System Based on Groups
    Shang Shang, Yuk Hui, Pan Hui, Paul Cuff, Sanjeev R. Kulkarni · 2013 · arXiv (Cornell University)
95. Triads, transitivity, and social effects in user interactions on Facebook
    Derek Doran, Huda Alhazmi, Swapna S. Gokhale · 2013 · International Conference on Computational Aspects of Social Networks (CASoN)
96. Understanding Sybil Groups in the Wild
    Jing Jiang, Zifei Shan, Xiao Wang, Li Zhang, Yafei Dai · 2015 · Journal of Computer Science and Technology
97. Probabilistic Inference on Twitter Data to Discover Suspicious Users and Malicious Content
    Praveen R. Rao, Anas Katib, Charles Kamhoua, Kevin Kwiat, Laurent Njilla · 2016 · IEEE International Conference on Computer and Information Technology (CIT)
98. Stratified hyperparameters optimization of feed-forward neural network for social network spam detection (SON2S)
    E. Elakkiya, Saravanan Selvakumar · 2022 · Soft Computing
99. Malicious Account Identification in Social Network Platforms
    Loredana Caruccio, Gaetano Cimino, Stefano Cirillo, Domenico Desiato, Giuseppe Polese, Genoveffa Tortora · 2023 · ACM Transactions on Internet Technology
100. Susceptibility to social engineering in social networking sites: The case of Facebook
     Abdullah Algarni, Yue Xu, Taizan Chan · 2015 · QUT ePrints (Queensland University of Technology)