Fame for sale: Efficient detection of fake Twitter followers

Cresci, Stefano, Di Pietro, Roberto, Petrocchi, Marinella, Spognardi, Angelo, Tesconi, Maurizio·2015·Decision Support Systems

Cited by (459)

Items 201–300 of 459

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    Giacomo Aletti, Irene Crimaldi, Fabio Saracco · 2021 · PLoS ONE
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    Sandra González‐Bailón, Manlio De Domenico · 2020 · SSRN Electronic Journal
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  4. Evaluating Audience Loyalty and Authenticity in Influencer Marketing via Multi-task Multi-relational Learning
    Seungbae Kim, Xiusi Chen, Jyun‐Yu Jiang, Jinyoung Han, Wei William Wang · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
  5. A New Joint Approach with Temporal and Profile Information for Social Bot Detection
    Zhou Yang, Xingshu Chen, Haizhou Wang, Wenxian Wang, Zhenxiong Miao, Tao Jiang · 2022 · Security and Communication Networks
  6. Real-Time Spammers Detection Based on Metadata Features with Machine Learning
    Adnan Ali, Jinlong Li, Huanhuan Chen · 2023 · Intelligent Automation & Soft Computing
  7. How Much I Can Rely on You: Measuring Trustworthiness of a Twitter User
    Rajkumar Das, Gour Karmakar, Joarder Kamruzzaman · 2019 · IEEE Transactions on Dependable and Secure Computing
  8. Real-Time Bot Detection from Twitter Using the Twitterbot+ Framework
    Kheir Eddine Daouadi, Rim Zghal Rebaï, Ikram Amous · 2020 · JUCS - Journal of Universal Computer Science
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    Kaley J. Rittichier, Davinder Kaur, Süleyman Uslu, Arjan Durresi A · 2021 · Lecture notes in networks and systems
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    Ji Hye Park, Jae Yun Moon, Se‐Joon Hong · 2021 · Information & Management
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    Abhishek Narayanan, Anmol Garg, Isha Arora, Tulika Sureka, Manjula Sridhar, H B Prasad · 2018
  12. Evolution of Malicious Social Bot Detection: From Individual Profiling to Group Analysis and Beyond
    Yina Liu, Shuai Xu, Yicong Li, Shuo Yu · 2025 · Journal of Social Computing
  13. A Framework to Detect Twitter Platform Manipulation and Computational Propaganda
    Nishan Chathuranga Wickramarathna, Thiruni D. Jayasiriwardena, Malith Wijesekara, Pasindu Bawantha Munasinghe, Gamage Upeksha Ganegoda · 2020 · International Conference on Advances in ICT for Emerging Regions
  14. Bot Detection in Twitter: An Overview
    Salvador López-Joya, Jose A. Diaz-Garcia, Maria Dolores Ruiz, María José Martín-Bautista · 2023 · Lecture notes in computer science
  15. 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
  16. The anatomy of conspiracy theorists: Unveiling traits using a comprehensive Twitter dataset
    Margherita Gambini, Serena Tardelli, Maurizio Tesconi · 2024 · Computer Communications
  17. Do You Really Follow Them? Automatic Detection of Credulous Twitter Users
    Alessandro Balestrucci, Rocco De Nicola, Marinella Petrocchi, Catia Trubiani · 2019 · Lecture notes in computer science
  18. DNA-influenced automated behavior detection on twitter through relative entropy
    Rosario Gilmary, V. Akila, Govindasamy Vaiyapuri, Deepikashini Balamurali · 2022 · Scientific Reports
  19. SAFER: Social Capital-Based Friend Recommendation to Defend against Phishing Attacks
    Zhen Yang Guo, Jin-Hee Cho, Ing-Ray Chen, Srijan Sengupta, Michin Hong, Tanushree Mitra · 2022 · Proceedings of the International AAAI Conference on Web and Social Media
  20. Cognitive Science-Based Security Framework in Consumer Electronics
    Shailendra Rathore, Jong Hyuk Park · 2019 · IEEE Consumer Electronics Magazine
  21. The Detection of Fake Messages using Machine Learning
    M.S. Looijenga · 2018
  22. Fusing content and social relationships: a multi-modal heterogeneous graph transformer approach for social bot detection
    Jianhong Luo, Chaoqi Jin · 2025 · EPJ Data Science
  23. DSpamOnto: An Ontology Modelling for Domain-Specific Social Spammers in Microblogging
    Malak Al-Hassan, Bilal Abu-Salih, Ahmad Al Hwaitat · 2023 · Big Data and Cognitive Computing
  24. Buzzer Detection to Maintain Information Neutrality in 2019 Indonesia Presidential Election
    Adrian Julianto Panatra, Felisitus Bryan Chandra, Wiliam Darmawan, Harco Leslie Hendric Spits Warnars, Wiranto Herry Utomo, Tokuro Matsuo · 2019 · IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)
  25. Malicious accounts detection from online social networks: a systematic review of literature
    Imen Ben Sassi, Sadok Ben Yahia · 2021 · International Journal of General Systems
  26. Machine Learning Interpretability to Detect Fake Accounts in Instagram
    Amine Sallah, El Arbi Abdellaoui Alaoui, Saïd Agoujil, Anand Nayyar · 2022 · International Journal of Information Security and Privacy
  27. An Improved Model for Dynamic Opinion Updates in Online Social Networks
    Ankana Sonowal, Alekhya Idupulapati, Dileep Booravilli, Priyanka Parimi, Rashmi Ranjan Rout · 2020 · IEEE Conference on Information and Communication Technology (CICT)
  28. MediaRank: Computational Ranking of Online News Sources
    Junting Ye, Steven Skiena · 2019 · arXiv (Cornell University)
  29. SEBD: A Stream Evolving Bot Detection Framework with Application of PAC Learning Approach to Maintain Accuracy and Confidence Levels
    Eiman Alothali, Kadhim Hayawi, Hany Alashwal · 2023 · Applied Sciences
  30. A Data Quality Multidimensional Model for Social Media Analysis
    María José Aramburu, Rafael Berlanga, Indira Lanza-Cruz · 2023 · Business & Information Systems Engineering
  31. SqueezeGCN: Adaptive Neighborhood Aggregation with Squeeze Module for Twitter Bot Detection Based on GCN
    Cheng-Qi Fu, Shuhao Shi, Yuxin Zhang · 2023 · Electronics
  32. Analyzing the worldwide perception of the Russia-Ukraine conflict through Twitter
    Bernardo Breve, Loredana Caruccio, Stefano Cirillo · 2024 · Journal Of Big Data
  33. Multi-stage self-training social bot detection based on graph neural network
    Keke Wang, Xiujuan Wang, Kangmiao Chen, Zhengxiang Wang, Kangfeng Zheng · 2025 · Engineering Applications of Artificial Intelligence
  34. ETS-MM: A Multi-Modal Social Bot Detection Model Based on Enhanced Textual Semantic Representation
    Wei Li, Jiawen Deng, Jiali You · 2025
  35. CALEB: A Conditional Adversarial Learning Framework to enhance bot detection
    Ilias Dimitriadis, George Dialektakis, Athena I. Vakali · 2023 · Data & Knowledge Engineering
  36. User profiling with geo-located posts and demographic data
    Adam Poulston, Mark Stevenson, Kalina Bontcheva · 2016 · Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)
  37. On Sybil Classification in Online Social Networks Using Only Structural Features
    Dieudonné Mulamba, Indrajit Ray, Indrakshi Ray · 2018 · Conference on Privacy, Security and Trust
  38. Disagree? You Must be a Bot! How Beliefs Shape Twitter Profile Perceptions
    Magdalena Wischnewski, Rebecca Bernemann, Thao Ngo · 2021
  39. Vulnerabilities to Online Social Network Identity Deception Detection Research and Recommendations for Mitigation
    Ismailov, Max, Tsikerdekis, Michail, Zeadally, Sherali · 2020 · Future Internet
  40. On Using Node Indices and Their Correlations for Fake Account Detection
    Sara Asghari, Morteza Haghir Chehreghani, Morteza Haghir Chehreghani · 2022 · IEEE International Conference on Big Data (BigData)
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    Hakan Aşan · 2024 · Akademik Yaklaşımlar Dergisi
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  43. Detecting Bots to Distinguish Hate Speech on Social Media
    Radhika Bailurkar, Nataasha Raul · 2021 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
  44. An Improved Bot Identification with Imbalanced Data using GG-XGBoost
    Greeshma Lingam, B. Yasaswini, P.V.S.Lakshmi Jagadamba · 2022 · International Conference on Intelligent Technologies (CONIT)
  45. FollowAKOInvestor: Stock recommendation by hearing voices from all kinds of investors with machine learning
    Chuan Qin, Jun Chang, Wenting Tu, Changrui Yu · 2024 · Expert Systems with Applications
  46. Detecting Fake Twitter Accounts with using Artificial Neural Networks
    Mehmet ŞİMŞEK, Oğuzhan YILMAZ, Asena Hazal KAHRİMAN, Levent Sabah · 2018 · Artificial Intelligence Studies
  47. Detection of False Weibo Repost Based on XGBoost
    Yixin Liu, Xinhua Wang, Wen Long · 2019
  48. Twitter Newcomers: Uncovering the Behavior and Fate of New Accounts Through Early Detection and Monitoring
    Guglielmo Cola, Michele Mazza, Maurizio Tesconi · 2023 · IEEE Access
  49. The Manufacture of Political Echo Chambers by Follow Train Abuse on Twitter.
    Christopher Torres-Lugo, Kai-Cheng Yang, Filippo Menczer · 2020 · arXiv (Cornell University)
  50. BotICC: enhancing social bot detection through implicit connection computation
    Shiyuan Guo, Jian Wang, Zhangquan Wang, Guiming Yu, Songyang Wu · 2025 · Multimedia Systems
  51. BotCF: Improving the Social Bot Detection Performance By Focusing on the Community Features
    Feng Liu, Zhenyu Li, Chunfang Yang, Daofu Gong, Fenlin Liu, Rui Ma, Adrian G. Borş · 2025 · IEEE Transactions on Network and Service Management
  52. Modeling of Social Media Behaviors Using Only Account Metadata
    Fernanda Carapinha, John Khoury, Shai Neumann, Monte Hancock, Federico Calderon, Mendi Drayton, Arvil Easter, Edward Stapleton, Alexander Vazquez, David Woolfolk · 2016 · Lecture notes in computer science
  53. Fake User Detection Based on Multi-Model Joint Representation
    Jun Li, Wentao Jiang, Jianyi Zhang, Yanhua Shao, Wei Zhu · 2024 · Information
  54. A novel integrated framework based on multi-view features for multidimensional social bot detection
    Tingting Li, Ziming Zeng, Shouqiang Sun, Jingjing Sun · 2022 · Journal of Information Science
  55. Push-to-Trend: A Novel Framework to Detect Trend Promoters in Trending Hashtags
    Soufia Kausar, Bilal Tahir, Muhammad Amir Mehmood · 2022 · IEEE Access
  56. Bots: Genuine or Malicious
    Lale Madahali, Jin Tian · 2023 · IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
  57. Experimental Evaluation: Can Humans Recognise Social Media Bots?
    Maxim Kolomeets, Olga Nikolaevna Tushkanova, Vasily Alekseevich Desnitsky, Lidia Vitkova, Andrey Alexeevich Chechulin · 2024 · Big Data and Cognitive Computing
  58. SStackGNN: Graph Data Augmentation Simplified Stacking Graph Neural Network for Twitter Bot Detection
    Shuhao Shi, Jian Chen, Zhengyan Wang, Yuxin Zhang, Yongmao Zhang, Cheng-Qi Fu, Kai Qiao, Bin Yan · 2024 · International Journal of Computational Intelligence Systems
  59. Advancing Fake Profile Detection: A Machine Learning Perspective
    Bharti Goyal, Nasib Singh Gill, Preeti Gulia · 2024 · International Conference on Intelligent Technologies (CONIT)
  60. Towards a pragmatic detection of unreliable accounts on social networks
    Nuno Guimar�ães, Álvaro Figueira, Luı́s Torgo · 2021 · Online Social Networks and Media
  61. Analyzing Activity and Suspension Patterns of Twitter Bots Attacking Turkish Twitter Trends by a Longitudinal Dataset
    Tuğrulcan Elmas · 2023 · International World Wide Web Conference (WWW)
  62. Data analysis on social media traces for detection of “spam” and “don’t care” learners
    Marian Cristian Mihăescu, Paul Ștefan Popescu, Elvira Popescu · 2017 · The Journal of Supercomputing
  63. Prediction of Social Influence for Provenance of Misinformation in Online Social Network Using Big Data Approach
    P. Kumaran, Rajeswari Sridhar · 2020 · The Computer Journal
  64. Methods and Challenges in Social Bots Detection: A Systematic Review
    Daniel Marques Gomes de Morais, Luciano Antônio Digiampietri · 2021 · Anais do Simpósio Brasileiro de Sistemas de Informação (SBSI)
  65. Influencer Marketing with Fake Followers
    Abhinav Anand, Souvik Dutta, Prithwiraj Mukherjee · 2018 · SSRN Electronic Journal
  66. Emoji-Driven Sentiment Analysis for Social Bot Detection with Relational Graph Convolutional Networks
    Kaqian Zeng, Li Zhao, Xiujuan Wang · 2025 · Sensors
  67. Multiscale group behavior perception for intelligent social bot detection
    Feng Liu, Bingchuan Jiang, Rui Ma · 2025 · Expert Systems with Applications
  68. Research on the generalization of social bot detection from two dimensions: feature extraction and detection approaches
    Ziming Zeng, Tingting Li, Jingjing Sun, Shouqiang Sun, Yu Zhang · 2022 · Data Technologies and Applications
  69. Social Robot Detection Method with Improved Graph Neural Networks
    Zhenhua Yu, Liangxue Bai, Ou Ye · 2024 · Computers, materials & continua/Computers, materials & continua (Print)
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  72. Reliability Index for Twitter – Twitter Handles’ Credibility Assessment
    Kartik Sharma · 2018 · Helix
  73. On Twitter Bots Behaving Badly: Empirical Study of Code Patterns on GitHub
    Andrea Millimaggi, Florian Daniel · 2019 · Lecture notes in computer science
  74. Detection of Misbehaviors in Clone Identities on Online Social Networks
    Rishabh Kaushal, Chetna Sharma, Ponnurangam Kumaraguru · 2020 · Lecture notes in computer science
  75. How Many Features Do We Need to Identify Bots on Twitter?
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  76. Machine Learning-Based Detection and Categorization of Malicious Accounts on Social Media
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    Nitin T Simon, Susan Elias · 2017 · IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
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  80. On Twitter Bots Behaving Badly
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