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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- How Much I Can Rely on You: Measuring Trustworthiness of a Twitter UserRajkumar Das, Gour Karmakar, Joarder Kamruzzaman · 2019 · IEEE Transactions on Dependable and Secure Computing
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- The anatomy of conspiracy theorists: Unveiling traits using a comprehensive Twitter datasetMargherita Gambini, Serena Tardelli, Maurizio Tesconi · 2024 · Computer Communications
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- Cognitive Science-Based Security Framework in Consumer ElectronicsShailendra Rathore, Jong Hyuk Park · 2019 · IEEE Consumer Electronics Magazine
- The Detection of Fake Messages using Machine LearningM.S. Looijenga · 2018
- Fusing content and social relationships: a multi-modal heterogeneous graph transformer approach for social bot detectionJianhong Luo, Chaoqi Jin · 2025 · EPJ Data Science
- DSpamOnto: An Ontology Modelling for Domain-Specific Social Spammers in MicrobloggingMalak Al-Hassan, Bilal Abu-Salih, Ahmad Al Hwaitat · 2023 · Big Data and Cognitive Computing
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- Malicious accounts detection from online social networks: a systematic review of literatureImen Ben Sassi, Sadok Ben Yahia · 2021 · International Journal of General Systems
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- MediaRank: Computational Ranking of Online News SourcesJunting Ye, Steven Skiena · 2019 · arXiv (Cornell University)
- SEBD: A Stream Evolving Bot Detection Framework with Application of PAC Learning Approach to Maintain Accuracy and Confidence LevelsEiman Alothali, Kadhim Hayawi, Hany Alashwal · 2023 · Applied Sciences
- A Data Quality Multidimensional Model for Social Media AnalysisMaría José Aramburu, Rafael Berlanga, Indira Lanza-Cruz · 2023 · Business & Information Systems Engineering
- SqueezeGCN: Adaptive Neighborhood Aggregation with Squeeze Module for Twitter Bot Detection Based on GCNCheng-Qi Fu, Shuhao Shi, Yuxin Zhang · 2023 · Electronics
- Analyzing the worldwide perception of the Russia-Ukraine conflict through TwitterBernardo Breve, Loredana Caruccio, Stefano Cirillo · 2024 · Journal Of Big Data
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- CALEB: A Conditional Adversarial Learning Framework to enhance bot detectionIlias Dimitriadis, George Dialektakis, Athena I. Vakali · 2023 · Data & Knowledge Engineering
- User profiling with geo-located posts and demographic dataAdam Poulston, Mark Stevenson, Kalina Bontcheva · 2016 · Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)
- On Sybil Classification in Online Social Networks Using Only Structural FeaturesDieudonné Mulamba, Indrajit Ray, Indrakshi Ray · 2018 · Conference on Privacy, Security and Trust
- Disagree? You Must be a Bot! How Beliefs Shape Twitter Profile PerceptionsMagdalena Wischnewski, Rebecca Bernemann, Thao Ngo · 2021
- Vulnerabilities to Online Social Network Identity Deception Detection Research and Recommendations for MitigationIsmailov, Max, Tsikerdekis, Michail, Zeadally, Sherali · 2020 · Future Internet
- On Using Node Indices and Their Correlations for Fake Account DetectionSara Asghari, Morteza Haghir Chehreghani, Morteza Haghir Chehreghani · 2022 · IEEE International Conference on Big Data (BigData)
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- Pretending to be a VIP! Characterization and Detection of Fake and Clone Channels on TelegramMassimo La Morgia, Alessandro Mei, Alberto Maria Mongardini, Jie Wu · 2024 · ACM Transactions on the Web
- Detecting Bots to Distinguish Hate Speech on Social MediaRadhika Bailurkar, Nataasha Raul · 2021 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
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- Detecting Fake Twitter Accounts with using Artificial Neural NetworksMehmet ŞİMŞEK, Oğuzhan YILMAZ, Asena Hazal KAHRİMAN, Levent Sabah · 2018 · Artificial Intelligence Studies
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- Twitter Newcomers: Uncovering the Behavior and Fate of New Accounts Through Early Detection and MonitoringGuglielmo Cola, Michele Mazza, Maurizio Tesconi · 2023 · IEEE Access
- The Manufacture of Political Echo Chambers by Follow Train Abuse on Twitter.Christopher Torres-Lugo, Kai-Cheng Yang, Filippo Menczer · 2020 · arXiv (Cornell University)
- BotICC: enhancing social bot detection through implicit connection computationShiyuan Guo, Jian Wang, Zhangquan Wang, Guiming Yu, Songyang Wu · 2025 · Multimedia Systems
- BotCF: Improving the Social Bot Detection Performance By Focusing on the Community FeaturesFeng Liu, Zhenyu Li, Chunfang Yang, Daofu Gong, Fenlin Liu, Rui Ma, Adrian G. Borş · 2025 · IEEE Transactions on Network and Service Management
- Modeling of Social Media Behaviors Using Only Account MetadataFernanda 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
- Fake User Detection Based on Multi-Model Joint RepresentationJun Li, Wentao Jiang, Jianyi Zhang, Yanhua Shao, Wei Zhu · 2024 · Information
- A novel integrated framework based on multi-view features for multidimensional social bot detectionTingting Li, Ziming Zeng, Shouqiang Sun, Jingjing Sun · 2022 · Journal of Information Science
- Push-to-Trend: A Novel Framework to Detect Trend Promoters in Trending HashtagsSoufia Kausar, Bilal Tahir, Muhammad Amir Mehmood · 2022 · IEEE Access
- Bots: Genuine or MaliciousLale Madahali, Jin Tian · 2023 · IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
- 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
- SStackGNN: Graph Data Augmentation Simplified Stacking Graph Neural Network for Twitter Bot DetectionShuhao Shi, Jian Chen, Zhengyan Wang, Yuxin Zhang, Yongmao Zhang, Cheng-Qi Fu, Kai Qiao, Bin Yan · 2024 · International Journal of Computational Intelligence Systems
- Advancing Fake Profile Detection: A Machine Learning PerspectiveBharti Goyal, Nasib Singh Gill, Preeti Gulia · 2024 · International Conference on Intelligent Technologies (CONIT)
- Towards a pragmatic detection of unreliable accounts on social networksNuno Guimar�ães, Álvaro Figueira, Luı́s Torgo · 2021 · Online Social Networks and Media
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- Data analysis on social media traces for detection of “spam” and “don’t care” learnersMarian Cristian Mihăescu, Paul Ștefan Popescu, Elvira Popescu · 2017 · The Journal of Supercomputing
- Prediction of Social Influence for Provenance of Misinformation in Online Social Network Using Big Data ApproachP. Kumaran, Rajeswari Sridhar · 2020 · The Computer Journal
- Methods and Challenges in Social Bots Detection: A Systematic ReviewDaniel Marques Gomes de Morais, Luciano Antônio Digiampietri · 2021 · Anais do Simpósio Brasileiro de Sistemas de Informação (SBSI)
- Influencer Marketing with Fake FollowersAbhinav Anand, Souvik Dutta, Prithwiraj Mukherjee · 2018 · SSRN Electronic Journal
- Emoji-Driven Sentiment Analysis for Social Bot Detection with Relational Graph Convolutional NetworksKaqian Zeng, Li Zhao, Xiujuan Wang · 2025 · Sensors
- Multiscale group behavior perception for intelligent social bot detectionFeng Liu, Bingchuan Jiang, Rui Ma · 2025 · Expert Systems with Applications
- Research on the generalization of social bot detection from two dimensions: feature extraction and detection approachesZiming Zeng, Tingting Li, Jingjing Sun, Shouqiang Sun, Yu Zhang · 2022 · Data Technologies and Applications
- Social Robot Detection Method with Improved Graph Neural NetworksZhenhua Yu, Liangxue Bai, Ou Ye · 2024 · Computers, materials & continua/Computers, materials & continua (Print)
- Leveraging dynamic fuzzification to mitigate fraudulent profiles on social networking platformsAmber Sarfraz, Adnan Ahmad, Furkh Zeshan, Muhammad Hamid, Mohammed Aman, Muhammd Saleem · 2025 · Social Network Analysis and Mining
- A language-based approach to modelling and analysis of Twitter interactionsAlessandro Maggi, Marinella Petrocchi, Angelo Spognardi, Francesco Tiezzi · 2016 · Journal of Logical and Algebraic Methods in Programming
- Reliability Index for Twitter – Twitter Handles’ Credibility AssessmentKartik Sharma · 2018 · Helix
- On Twitter Bots Behaving Badly: Empirical Study of Code Patterns on GitHubAndrea Millimaggi, Florian Daniel · 2019 · Lecture notes in computer science
- Detection of Misbehaviors in Clone Identities on Online Social NetworksRishabh Kaushal, Chetna Sharma, Ponnurangam Kumaraguru · 2020 · Lecture notes in computer science
- How Many Features Do We Need to Identify Bots on Twitter?Fatima Tabassum, Sameera Mubarak, Lin Liu, Jia Tina Du · 2023 · Lecture notes in computer science
- Machine Learning-Based Detection and Categorization of Malicious Accounts on Social MediaAjay Bhattacharyya, Adita Kulkarni · 2024 · Lecture notes in computer science
- Detection of fake followers using feature ratio in self-organizing mapsNitin 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)
- Behavioral Analysis of Users for Spammer Detection in a Multiplex Social NetworkTahereh Pourhabibi, Yee Ling Boo, Kok‐Leong Ong, Booi Kam, Xiuzhen Zhang · 2019 · Communications in computer and information science
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- On Twitter Bots Behaving BadlyFlorian Daniel, Andrea Millimaggi · 2020 · Journal of Web Engineering
- Who Did the Top Media From Spain Started Following on Twitter? An Exploratory Data Analysis Case StudyVerónica Israel-Turim, Josep-Lluís Micó, Enric Ordeix-Rigo · 2021 · American Behavioral Scientist
- Information DisorderRoberto Di Pietro, Simone Raponi, Maurantonio Caprolu, Stefano Cresci · 2020 · Advances in information security
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- Social Bot Detection Based on Window StrategyBoyu Qiao, Kun Li, Wei Jia Zhou · 2023 · IEEE International Conference on Multimedia and Expo (ICME)
- My Brother Helps Me: Node Injection Based Adversarial Attack on Social Bot DetectionLan-Jun Wang, Xinran Qiao, Yan-Wei Xie, Wei-Zhi Nie, Yongdong Zhang, An-An Liu · 2023 · ACM Multimedia
- Fake User Account Detection in Online Social Media Networks Using Machine Learning and Neural Network TechniquesMohammed Ridha Hammoodi, Ahmed J. Obaid · 2023 · Intelligent systems reference library
- Beyond trial-and-error: Predicting user abandonment after a moderation interventionBenedetta Tessa, Lorenzo Cima, Amaury Trujillo, Marco Avvenuti, Stefano Cresci · 2025 · Engineering Applications of Artificial Intelligence
- GNNRI: detecting anomalous social network users through heterogeneous information networks and user relevance explorationYangyang Li, Xinyue Sun, Renyu Yang, Xiaoyang Sun, Shiru Chen, Shuhai Wang, Md Zakirul Alam Bhuiyan, Albert Y. Zomaya, Jie Xu · 2024 · International Journal of Machine Learning and Cybernetics
- Exploring Feature Selection Technique in Detecting Sybil Accounts in a Social NetworkShradha Sharma, Manu Sood · 2020 · Advances in intelligent systems and computing
- Sybil Account Detection in Online Social Networks Using Statistical Feature Selection TechniquesAmit Chauhan, Manu Sood · 2020 · Communications in computer and information science
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- Follower’s Quality Factor in Social CommerceHumaira Hairudin, Halina Mohamed Dahlan, Md. Hafiz Selamat · 2019 · Journal of Physics Conference Series
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