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Suspended accounts in retrospect

https://doi.org/10.1145/2068816.2068840
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9780470690642.ch5openalex-snapshot
Terms of Service
inferredcites →https://doi.org/10.1007/978-1-4614-1981-5_4openalex-snapshot
The Underground Economy of Fake Antivirus Software
inferredcites →https://doi.org/10.1007/978-3-642-23644-0_16openalex-snapshot
Spam Filtering in Twitter Using Sender-Receiver Relationship
inferredcites →https://doi.org/10.1109/malware.2008.4690858openalex-snapshot
Shades of grey: On the effectiveness of reputation-based “blacklists”
inferredcites →https://doi.org/10.1109/sp.2011.24openalex-snapshot
Click Trajectories: End-to-End Analysis of the Spam Value Chain
inferredcites →https://doi.org/10.1109/sp.2011.25openalex-snapshot
Design and Evaluation of a Real-Time URL Spam Filtering Service
inferredcites →https://doi.org/10.1145/1151659.1159945openalex-snapshot
SybilGuard
inferredcites →https://doi.org/10.1145/1315245.1315288openalex-snapshot
Filtering spam with behavioral blacklisting
inferredcites →https://doi.org/10.1145/1455770.1455774openalex-snapshot
Spamalytics
inferredcites →https://doi.org/10.1145/1835449.1835522openalex-snapshot
Uncovering social spammers
inferredcites →https://doi.org/10.1145/1866307.1866311openalex-snapshot
@spam
inferredcites →https://doi.org/10.1145/1879141.1879147openalex-snapshot
Detecting and characterizing social spam campaigns
inferredcites →https://doi.org/10.1145/1920261.1920263openalex-snapshot
Detecting spammers on social networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Twitter Usage in Indonesia
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Calculate the Score of a Social Media Profile and Posts on Twitter and Other Social Media Sites on the Internet
inferred← citeshttps://doi.org/10.1002/asi.23515openalex-snapshot
Not all international collaboration is beneficial: The M endeley readership and citation impact of biochemical research collaboration
inferred← citeshttps://doi.org/10.1002/asi.23836openalex-snapshot
An analysis of 14 Million tweets on hashtag‐oriented spamming*
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A longitudinal assessment of the persistence of twitter datasets
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A measurement‐based study on user management in private BitTorrent communities
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Clusters and constellations: Untwisting shortened links
inferred← citeshttps://doi.org/10.1002/poi3.287openalex-snapshot
From content moderation to visibility moderation : A case study of platform governance on TikTok
inferred← citeshttps://doi.org/10.1002/widm.1203openalex-snapshot
Positive and negative behavioral analysis in social networks
inferred← citeshttps://doi.org/10.1007/978-1-4614-7163-9_110199-1openalex-snapshot
Spam Detection on Social Networks
inferred← citeshttps://doi.org/10.1007/978-1-4939-7131-2_110199openalex-snapshot
Spam Detection on Social Networks
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You Are Known by Your Friends: Leveraging Network Metrics for Bot Detection in Twitter
inferred← citeshttps://doi.org/10.1007/978-3-030-42699-6_6openalex-snapshot
Bots, Elections, and Social Media: A Brief Overview
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An Evaluation of Low-Quality Content Detection Strategies: Which Attributes Are Still Relevant, Which Are Not?
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A Rumor Detection in Russian Tweets
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Information Disorder
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Characterizing Pathogenic Social Media Accounts
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auth.js: Advanced Authentication for the Web
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Multidimensional Analysis of Fake News Spreaders on Twitter
inferred← citeshttps://doi.org/10.1007/978-3-030-90462-3_11openalex-snapshot
Spammer Detection Approaches in Online Social Network (OSNs): A Survey
inferred← citeshttps://doi.org/10.1007/978-3-319-01854-6_46openalex-snapshot
Twitter Content-Based Spam Filtering
inferred← citeshttps://doi.org/10.1007/978-3-319-04483-5_26openalex-snapshot
Friend or Foe: Twitter Users under Magnification
inferred← citeshttps://doi.org/10.1007/978-3-319-05579-4_25openalex-snapshot
Using Trust Model for Detecting Malicious Activities in Twitter
inferred← citeshttps://doi.org/10.1007/978-3-319-05963-1_5openalex-snapshot
Social Website Technologies and Their Impact on Society
inferred← citeshttps://doi.org/10.1007/978-3-319-06605-9_49openalex-snapshot
Automatic Fake Followers Detection in Chinese Micro-blogging System
inferred← citeshttps://doi.org/10.1007/978-3-319-13734-6_39openalex-snapshot
Who Are My Audiences? A Study of the Evolution of Target Audiences in Microblogs
inferred← citeshttps://doi.org/10.1007/978-3-319-15168-7_49openalex-snapshot
Think Before RT: An Experimental Study of Abusing Twitter Trends
inferred← citeshttps://doi.org/10.1007/978-3-319-16268-3_17openalex-snapshot
Network-Based Group Account Classification
inferred← citeshttps://doi.org/10.1007/978-3-319-16354-3_77openalex-snapshot
Detecting Spam URLs in Social Media via Behavioral Analysis
inferred← citeshttps://doi.org/10.1007/978-3-319-18038-0_10openalex-snapshot
Retweeting Activity on Twitter: Signs of Deception
inferred← citeshttps://doi.org/10.1007/978-3-319-26148-5_32openalex-snapshot
A Model for Identifying Misinformation in Online Social Networks
inferred← citeshttps://doi.org/10.1007/978-3-319-26187-4_8openalex-snapshot
Detecting Internet Hidden Paid Posters Based on Group and Individual Characteristics
inferred← citeshttps://doi.org/10.1007/978-3-319-27101-9_9openalex-snapshot
Detecting Social Spammers in Colombia 2014 Presidential Election
inferred← citeshttps://doi.org/10.1007/978-3-319-27137-8_25openalex-snapshot
Leveraging Behavior Diversity to Detect Spammers in Online Social Networks
inferred← citeshttps://doi.org/10.1007/978-3-319-33630-5_13openalex-snapshot
SybilRadar: A Graph-Structure Based Framework for Sybil Detection in On-line Social Networks
inferred← citeshttps://doi.org/10.1007/978-3-319-40253-6_13openalex-snapshot
An Ensemble Learning Approach for Addressing the Class Imbalance Problem in Twitter Spam Detection
inferred← citeshttps://doi.org/10.1007/978-3-319-45719-2_7openalex-snapshot
The Abuse Sharing Economy: Understanding the Limits of Threat Exchanges
inferred← citeshttps://doi.org/10.1007/978-3-319-46298-1_31openalex-snapshot
Gatekeeping Behavior Analysis for Information Credibility Assessment on Weibo
inferred← citeshttps://doi.org/10.1007/978-3-319-47880-7_4openalex-snapshot
On URL Changes and Handovers in Social Media
inferred← citeshttps://doi.org/10.1007/978-3-319-48743-4_9openalex-snapshot
Understanding Factors That Affect Web Traffic via Twitter
inferred← citeshttps://doi.org/10.1007/978-3-319-60240-0_11openalex-snapshot
ENWalk: Learning Network Features for Spam Detection in Twitter
inferred← citeshttps://doi.org/10.1007/978-3-319-67217-5_14openalex-snapshot
Badly Evolved? Exploring Long-Surviving Suspicious Users on Twitter
inferred← citeshttps://doi.org/10.1007/978-3-319-69462-7_41openalex-snapshot
A Framework for Evaluating Anti Spammer Systems for Twitter
inferred← citeshttps://doi.org/10.1007/978-3-319-77332-2_13openalex-snapshot
Measuring Social Spam and the Effect of Bots on Information Diffusion in Social Media
inferred← citeshttps://doi.org/10.1007/978-3-319-94105-9_4openalex-snapshot
Predictive Analysis on Twitter: Techniques and Applications
inferred← citeshttps://doi.org/10.1007/978-3-642-34228-8_22openalex-snapshot
Exploring the Meaning behind Twitter Hashtags through Clustering
inferred← citeshttps://doi.org/10.1007/978-3-642-35786-2_6openalex-snapshot
Analyzing Clusters and Constellations from Untwisting Shortened Links on Twitter Using Conceptual Graphs
inferred← citeshttps://doi.org/10.1007/978-3-642-36516-4_21openalex-snapshot
Searching for Spam: Detecting Fraudulent Accounts via Web Search
inferred← citeshttps://doi.org/10.1007/978-3-642-40994-3_31openalex-snapshot
Detecting Marionette Microblog Users for Improved Information Credibility
inferred← citeshttps://doi.org/10.1007/978-981-10-6893-5_14openalex-snapshot
Improving Accuracy of Sybil Account Detection in OSNs by Leveraging Victim Prediction
inferred← citeshttps://doi.org/10.1007/978-981-13-0292-3_15openalex-snapshot
Malicious Behaviour Analysis on Twitter Through the Lens of User Interest
inferred← citeshttps://doi.org/10.1007/978-981-13-7561-3_21openalex-snapshot
Fuzzy String Matching Algorithm for Spam Detection in Twitter
inferred← citeshttps://doi.org/10.1007/978-981-15-5558-9_29openalex-snapshot
Detection of Malicious URLs on Twitter
inferred← citeshttps://doi.org/10.1007/978-981-16-5157-1_73openalex-snapshot
Use of a Recurrent Neural Network to Identify Spammers on Twitter
inferred← citeshttps://doi.org/10.1007/s00521-019-04331-5openalex-snapshot
Spam detection on social networks using cost-sensitive feature selection and ensemble-based regularized deep neural networks
inferred← citeshttps://doi.org/10.1007/s00766-017-0274-xopenalex-snapshot
An exploratory study of Twitter messages about software applications
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Tracking triadic cardinality distributions for burst detection in high-speed graph streams
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If it looks like a spammer and behaves like a spammer, it must be a spammer: analysis and detection of microblogging spam accounts
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Discovering spammer communities in twitter
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SMSAD: a framework for spam message and spam account detection
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Birds of prey: identifying lexical irregularities in spam on Twitter
inferred← citeshttps://doi.org/10.1007/s11280-018-0613-yopenalex-snapshot
Analysis of and defense against crowd-retweeting based spam in social networks
inferred← citeshttps://doi.org/10.1007/s11390-015-1584-4openalex-snapshot
Detecting Marionette Microblog Users for Improved Information Credibility
inferred← citeshttps://doi.org/10.1007/s11390-015-1602-6openalex-snapshot
Understanding Sybil Groups in the Wild
inferred← citeshttps://doi.org/10.1007/s13278-014-0178-4openalex-snapshot
Social capitalists on Twitter: detection, evolution and behavioral analysis
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A hybrid epidemic model for deindividuation and antinormative behavior in online social networks
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Discover millions of fake followers in Weibo
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Exploiting abused trending topics to identify spam campaigns in Twitter
inferred← citeshttps://doi.org/10.1007/s13278-016-0358-5openalex-snapshot
Exploring characteristics of suspended users and network stability on Twitter
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Generic anomalous vertices detection utilizing a link prediction algorithm
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Analyzing the uncharted territory of monetizing scam Videos on YouTube
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A hybrid feature-based heterogeneous graph transformer method for cheating official account mining
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The good, the bad, and the ugly: uncovering novel research opportunities in social media mining
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Discovery and Classification of Twitter Bots
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Predicting cyber offenders and victims and their offense and damage time from routine chat times and online social network activities
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A generic statistical approach for spam detection in Online Social Networks
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Early filtering of ephemeral malicious accounts on Twitter
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The rich and middle classes on Twitter: Are popular users indeed different from regular users?
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Applying spark based machine learning model on streaming big data for health status prediction
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Íntegro: Leveraging victim prediction for robust fake account detection in large scale OSNs
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Addressing the class imbalance problem in Twitter spam detection using ensemble learning
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Combating the evolving spammers in online social networks
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Twitter spam detection: Survey of new approaches and comparative study
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Cyber-security: Identity deception detection on social media platforms
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Fame for sale: Efficient detection of fake Twitter followers
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Detecting malicious tweets in trending topics using a statistical analysis of language
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Twitter data laid almost bare: An insightful exploratory analyser
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Unsupervised collective-based framework for dynamic retraining of supervised real-time spam tweets detection model
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A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
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Investigating the deceptive information in Twitter spam
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Ensemble based spam detection in social IoT using probabilistic data structures
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SimilCatch: Enhanced social spammers detection on Twitter using Markov Random Fields
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Distance-based customer detection in fake follower markets
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Rise of spam and compromised accounts in online social networks: A state-of-the-art review of different combating approaches
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Crowd sourcing disaster management: The complex nature of Twitter usage in Padang Indonesia
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Spams classification and their diffusibility prediction on Twitter through sentiment and topic models
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A Macroscopic Analysis of News Content in Twitter
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Using Machine Learning to Detect Fake Identities: Bots vs Humans
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A Content-Based Method for Sybil Detection in Online Social Networks via Deep Learning
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An Efficient Victim Prediction for Sybil Detection in Online Social Network
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Twitter Newcomers: Uncovering the Behavior and Fate of New Accounts Through Early Detection and Monitoring
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Unmasking Fake Accounts: Machine Learning Approaches for Social Media Integrity
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Behavioral detection of spam URL sharing: Posting patterns versus click patterns
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Influence inflation in online social networks
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Using sentiment to detect bots on Twitter: Are humans more opinionated than bots?
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SDHM: A hybrid model for spammer detection in Weibo
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A new approach to bot detection: Striking the balance between precision and recall
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Full Cycle Analysis of a Large-Scale Botnet Attack on Twitter
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Retweet Us, We will Retweet You: Spotting Collusive Retweeters Involved in Blackmarket Services
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A Survey of Malicious Accounts Detection in Large-Scale Online Social Networks
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Online social network evolution: Revisiting the Twitter graph
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Detecting Fake Accounts on Social Media
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Exploring and Detecting Opinion Spam on Social Media
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Finding the hidden hands: a case study of detecting organized posters and promoters in SINA weibo
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Improving spam detection in Online Social Networks
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Real Time Detection System for Malicious URLs
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Twitter Spam Accounts Detection Using Machine Learning Models
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On the impact of social botnets for spam distribution and digital-influence manipulation
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SYBILFUSE: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection
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Detecting Event-synced Navigation Attacks across User-generated Content Platforms
inferred← citeshttps://doi.org/10.1109/comsnets.2013.6465541openalex-snapshot
CATS: Characterizing automation of Twitter spammers
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A framework for real-time spam detection in Twitter
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Random Walk Based Fake Account Detection in Online Social Networks
inferred← citeshttps://doi.org/10.1109/dsn.2019.00052openalex-snapshot
Pseudo-Honeypot: Toward Efficient and Scalable Spam Sniffer
inferred← citeshttps://doi.org/10.1109/ecrs.2013.6805782openalex-snapshot
Folex: An analysis of an herbal and counterfeit luxury goods affiliate program
inferred← citeshttps://doi.org/10.1109/greencom-ithings-cpscom.2013.159openalex-snapshot
Unveil the Spams in Weibo
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Detection of Fake Profile in Online Social Networks Using Machine Learning
inferred← citeshttps://doi.org/10.1109/icacci.2016.7732293openalex-snapshot
Ecosystem of spamming on Twitter: Analysis of spam reporters and spam reportees
inferred← citeshttps://doi.org/10.1109/icbda.2016.7509829openalex-snapshot
Efficient spam detection across Online Social Networks
inferred← citeshttps://doi.org/10.1109/icbds58040.2023.10346308openalex-snapshot
Advanced Machine Learning Model to Detect Spam on Instagram
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Snooping Wikipedia vandals with MapReduce
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6 million spam tweets: A large ground truth for timely Twitter spam detection
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Machine Learning Based Twitter Spam Account Detection: A Review
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Detecting and Validating Sybil Groups in the Wild
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Hawkes Process for Understanding the Influence of Pathogenic Social Media Accounts
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How Many Zombies Around You?
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Detecting Campaign Promoters on Twitter Using Markov Random Fields
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DeBot: Twitter Bot Detection via Warped Correlation
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Real Time Detection of Drifted Twitter Spam Based on Statistical Features
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A Convolutional Neural Network Model to Detect Illegitimate URLs
inferred← citeshttps://doi.org/10.1109/icict50816.2021.9358579openalex-snapshot
Twitter Spam Detection Using Naïve Bayes Classifier
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Real-Time Twitter Content Polluter Detection Based on Direct Features
inferred← citeshttps://doi.org/10.1109/icmla.2013.162openalex-snapshot
Comparison of Stability for Different Families of Filter-Based and Wrapper-Based Feature Selection
inferred← citeshttps://doi.org/10.1109/icrito48877.2020.9197935openalex-snapshot
Survey on Fake Profile Detection on Social Sites by Using Machine Learning Algorithm
inferred← citeshttps://doi.org/10.1109/icrteect67512.2025.11448681openalex-snapshot
Identifying Spam and Fake Accounts in Social Platforms
inferred← citeshttps://doi.org/10.1109/icse55347.2025.00147openalex-snapshot
Exposing the Hidden Layer: Software Repositories in the Service of Seo Manipulation
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Which Users Reply to and Interact with Twitter Social Bots?
inferred← citeshttps://doi.org/10.1109/ictai.2013.63openalex-snapshot
Stability of Filter- and Wrapper-Based Feature Subset Selection
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How the Choice of Wrapper Learner and Performance Metric Affects Subset Evaluation
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Should the Same Learners Be Used Both within Wrapper Feature Selection and for Building Classification Models?
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Analysis of Twitter Spam Detection Techniques-A Review
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Social Network Polluting Contents Detection through Deep Learning Techniques
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Semantic geolocation friend recommendation system; LinkedIn user case
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A Lexicon-based Method to Determine Subjectivity of Unstructured Data
inferred← citeshttps://doi.org/10.1109/infcom.2013.6567045openalex-snapshot
VoteTrust: Leveraging friend invitation graph to defend against social network Sybils
inferred← citeshttps://doi.org/10.1109/infcomw.2015.7179386openalex-snapshot
Asymmetric self-learning for tackling Twitter Spam Drift
inferred← citeshttps://doi.org/10.1109/infocom.2014.6848048openalex-snapshot
What scale of audience a campaign can reach in what price on Twitter?
inferred← citeshttps://doi.org/10.1109/inm.2015.7140327openalex-snapshot
Enhancing Twitter spam accounts discovery using cross-account pattern mining
inferred← citeshttps://doi.org/10.1109/iot-siu.2018.8519938openalex-snapshot
Statistical Analysis of Tweeter Data Using Language Model With KLD
inferred← citeshttps://doi.org/10.1109/iri.2013.6642447openalex-snapshot
Predicting susceptibility to social bots on Twitter
inferred← citeshttps://doi.org/10.1109/iri.2013.6642460openalex-snapshot
The importance of performance metrics within wrapper feature selection
inferred← citeshttps://doi.org/10.1109/iri.2013.6642501openalex-snapshot
Filter- and wrapper-based feature selection for predicting user interaction with Twitter bots
inferred← citeshttps://doi.org/10.1109/iscc-c.2013.85openalex-snapshot
Mining Spam Accounts with User Influence
inferred← citeshttps://doi.org/10.1109/isi.2018.8587339openalex-snapshot
Early Identification of Pathogenic Social Media Accounts
inferred← citeshttps://doi.org/10.1109/isspit.2016.7886022openalex-snapshot
Early malicious activity discovery in microblogs by social bridges detection
inferred← citeshttps://doi.org/10.1109/istafrica.2014.6880611openalex-snapshot
Online social networks to online social malworks — The evolution of an industry
inferred← citeshttps://doi.org/10.1109/micc.2013.6805828openalex-snapshot
Friend recommendation based on the Luscher color theory: Twitter use case
inferred← citeshttps://doi.org/10.1109/mnet.2018.1700406openalex-snapshot
Multistage and Elastic Spam Detection in Mobile Social Networks through Deep Learning
inferred← citeshttps://doi.org/10.1109/paap.2018.00026openalex-snapshot
FakeBuster: A Robust Fake Account Detection by Activity Analysis
inferred← citeshttps://doi.org/10.1109/pst.2015.7232959openalex-snapshot
What they do in shadows: Twitter underground follower market
inferred← citeshttps://doi.org/10.1109/pst.2018.8514162openalex-snapshot
On Sybil Classification in Online Social Networks Using Only Structural Features
inferred← citeshttps://doi.org/10.1109/sitis.2014.68openalex-snapshot
Co-evolutionary Dynamics in Social Networks: A Case Study of Twitter
inferred← citeshttps://doi.org/10.1109/smc.2016.7844500openalex-snapshot
Social network analysis: Evolving Twitter mining
inferred← citeshttps://doi.org/10.1109/socialcom-passat.2012.45openalex-snapshot
Artificial Inflation: The Real Story of Trends and Trend-Setters in Sina Weibo
inferred← citeshttps://doi.org/10.1109/socialsec.2018.8760377openalex-snapshot
Deep-learnt features for Twitter spam detection
inferred← citeshttps://doi.org/10.1109/sp40000.2020.00079openalex-snapshot
Throwing Darts in the Dark? Detecting Bots with Limited Data using Neural Data Augmentation
inferred← citeshttps://doi.org/10.1109/sp54263.2024.00156openalex-snapshot
Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams
inferred← citeshttps://doi.org/10.1109/spw59333.2023.00038openalex-snapshot
Scripted Henchmen: Leveraging XS-Leaks for Cross-Site Vulnerability Detection
inferred← citeshttps://doi.org/10.1109/ssci47803.2020.9308315openalex-snapshot
Two-stage Unsupervised Approach for Combating Social Spammers
inferred← citeshttps://doi.org/10.1109/tcss.2016.2516039openalex-snapshot
A Performance Evaluation of Machine Learning-Based Streaming Spam Tweets Detection
inferred← citeshttps://doi.org/10.1109/tcss.2021.3103515openalex-snapshot
Social Bots and Their Coordination During Online Campaigns: A Survey
inferred← citeshttps://doi.org/10.1109/tcyb.2019.2940940openalex-snapshot
Data-Driven Cyber Security in Perspective—Intelligent Traffic Analysis
inferred← citeshttps://doi.org/10.1109/tdsc.2012.75openalex-snapshot
Detecting Automation of Twitter Accounts: Are You a Human, Bot, or Cyborg?
inferred← citeshttps://doi.org/10.1109/tdsc.2013.3openalex-snapshot
WarningBird: A Near Real-Time Detection System for Suspicious URLs in Twitter Stream
inferred← citeshttps://doi.org/10.1109/tdsc.2015.2410792openalex-snapshot
VoteTrust: Leveraging Friend Invitation Graph to Defend against Social Network Sybils
inferred← citeshttps://doi.org/10.1109/tdsc.2016.2641441openalex-snapshot
The Rise of Social Botnets: Attacks and Countermeasures
inferred← citeshttps://doi.org/10.1109/tdsc.2020.3047399openalex-snapshot
Towards Learning-Based, Content-Agnostic Detection of Social Bot Traffic
inferred← citeshttps://doi.org/10.1109/tdsc.2021.3068307openalex-snapshot
DatingSec: Detecting Malicious Accounts in Dating Apps Using a Content-Based Attention Network
inferred← citeshttps://doi.org/10.1109/tifs.2013.2267732openalex-snapshot
Empirical Evaluation and New Design for Fighting Evolving Twitter Spammers
inferred← citeshttps://doi.org/10.1109/tifs.2016.2621888openalex-snapshot
Statistical Features-Based Real-Time Detection of Drifted Twitter Spam
inferred← citeshttps://doi.org/10.1109/tifs.2019.2953331openalex-snapshot
Blackmarket-Driven Collusion Among Retweeters–Analysis, Detection, and Characterization
inferred← citeshttps://doi.org/10.1109/tifs.2020.2970601openalex-snapshot
HawkesEye: Detecting Fake Retweeters Using Hawkes Process and Topic Modeling
inferred← citeshttps://doi.org/10.1109/tifs.2021.3102498openalex-snapshot
DeepSBD: A Deep Neural Network Model With Attention Mechanism for SocialBot Detection
inferred← citeshttps://doi.org/10.1109/tkde.2020.2974949openalex-snapshot
Expediting the Accuracy-Improving Process of SVMs for Class Imbalance Learning
inferred← citeshttps://doi.org/10.1109/tkde.2020.3047857openalex-snapshot
An Adaptive Social Spammer Detection Model With Semi-Supervised Broad Learning
inferred← citeshttps://doi.org/10.1109/tkde.2022.3150669openalex-snapshot
Markov-Driven Graph Convolutional Networks for Social Spammer Detection
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Beating the Artificial Chaos: Fighting OSN Spam Using Its Own Templates
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An MCL-Based Approach for Spam Profile Detection in Online Social Networks
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