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Text Analysis in Adversarial Settings
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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/dac.3259openalex-snapshot
Authorship verification using deep belief network systems
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Cyber Hate Speech on Twitter: An Application of Machine Classification and Statistical Modeling for Policy and Decision Making
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Effective and Scalable Authorship Attribution Using Function Words
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Detecting Deception through Linguistic Analysis
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A Longitudinal Analysis of Language Behavior of Deception in E-mail
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Automatic Detection of Verbal Deception
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Comparison of Deceptive and Truthful Travel Reviews
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Complete Syntactic N-grams as Style Markers for Authorship Attribution
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Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis
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Who Wrote the Web? Revisiting Influential Author Identification Research Applicable to Information Retrieval
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The Case for Being Average: A Mediocrity Approach to Style Masking and Author Obfuscation
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Detecting Hate Speech on Twitter Using a Convolution-GRU Based Deep Neural Network
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Stay On-Topic: Generating Context-Specific Fake Restaurant Reviews
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The Enron Corpus: A New Dataset for Email Classification Research
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On Compression-Based Text Classification
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Unsupervised Spam Detection Based on String Alienness Measures
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A Classifier System for Author Recognition Using Synonym-Based Features
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Explanation in Computational Stylometry
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Stylometry Detection Using Deep Learning
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Longman Grammar of Spoken and Written English
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The State of Authorship Attribution Studies: Some Problems and Solutions
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Using Literal and Grammatical Statistics for Authorship Attribution
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Semantic Variation in Idiolect and Sociolect: Corpus Linguistic Evidence from Literary Texts
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Automating Linguistics-Based Cues for Detecting Deception in Text-Based Asynchronous Computer-Mediated Communications
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Large-Scale Experiments in Authorship Attribution
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Nonverbal Leakage and Clues to Deception †
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On Lying and Being Lied To: A Linguistic Analysis of Deception in Computer-Mediated Communication
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A Comparison of Classification Methods for Predicting Deception in Computer-Mediated Communication
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New Machine Learning Methods Demonstrate the Existence of a Human Stylome
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The Linguistic Category Model, its Bases, Applications and Range
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Author Identification, Idiolect, and Linguistic Uniqueness
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Supervised machine learning for the detection of troll profiles in twitter social network: application to a real case of cyberbullying
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Word-Patterns and Story-Shapes: The Statistical Analysis of Narrative Style
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A Prototype for Authorship Attribution Studies
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Quantitative Authorship Attribution: An Evaluation of Techniques
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Bigrams of Syntactic Labels for Authorship Discrimination of Short Texts
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Automatic generation of exercises on passive transformation in Portuguese
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Adversarial Authorship, AuthorWebs, and Entropy-Based Evolutionary Clustering
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Authorship detection of SMS messages using unigrams
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Automatic Synonym and Phrase Replacement Show Promise for Style Transformation
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Detecting Offensive Language in Social Media to Protect Adolescent Online Safety
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Detecting Hoaxes, Frauds, and Deception in Writing Style Online
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On the Feasibility of Internet-Scale Author Identification
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Doppelgänger Finder: Taking Stylometry to the Underground
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What Lies Beneath: The Linguistic Traces of Deception in Online Dating Profiles
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Interpersonal Deception Theory
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Testing Interpersonal Deception Theory: The Language of Interpersonal Deception
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TELLING IT LIKE IT ISN'T: A REVIEW OF THEORY AND RESEARCH ON DECEPTIVE COMMUNICATIONS
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Detecting Deceptive Discussions in Conference Calls
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The Characteristic Curves of Composition
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Authorship verification as a one-class classification problem
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Automatically profiling the author of an anonymous text
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Empirical evaluation of authorship obfuscation using JGAAP
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Text mining and probabilistic language modeling for online review spam detection
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Fast learning for sentiment analysis on bullying
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Common Sense Reasoning for Detection, Prevention, and Mitigation of Cyberbullying
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Fighting authorship linkability with crowdsourcing
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Collective Opinion Spam Detection
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Abusive Language Detection in Online User Content
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Deep Learning for Hate Speech Detection in Tweets
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Surveying Stylometry Techniques and Applications
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Automated Crowdturfing Attacks and Defenses in Online Review Systems
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Automatic sense disambiguation using machine readable dictionaries
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Mining e-mail content for author identification forensics
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Generating Phrasal and Sentential Paraphrases: A Survey of Data-Driven Methods
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Grammatical word class variation within the British National Corpus Sampler
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Building a forensic corpus to test language-based indicators of deception
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Lying Words: Predicting Deception from Linguistic Styles
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The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods
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Accuracy of Deception Judgments
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Linguistic Traces of a Scientific Fraud: The Case of Diederik Stapel
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Automatic Natural Language Style Classification and Transformation
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A Lexicon-based Approach for Hate Speech Detection
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Blogs, Twitter Feeds, and Reddit Comments: Cross-domain Authorship Attribution
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Unsupervised Spam Detection by Document Probability Estimation with Maximal Overlap Method
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“Time for Some Traffic Problems”: Enhancing E-Discovery and Big Data Processing Tools with Linguistic Methods for Deception Detection
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What Yelp Fake Review Filter Might Be Doing?
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A Primer on Neural Network Models for Natural Language Processing
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Identifying Manipulated Offerings on Review Portals
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Paraphrase Generation with Deep Reinforcement Learning
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Finding Opinion Manipulation Trolls in News Community Forums
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Controlling Politeness in Neural Machine Translation via Side Constraints
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Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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The Enemy in Your Own Camp: How Well Can We Detect Statistically-Generated Fake Reviews – An Adversarial Study
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Hunting for Troll Comments in News Community Forums
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A Survey on Hate Speech Detection using Natural Language Processing
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Features of Computer-Mediated, Text-Based Messages that Support Automatable, Linguistics-Based Indicators for Deception Detection
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GAN（Generative Adversarial Nets）
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Personalized Machine Translation: Preserving Original Author Traits
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Toward Controlled Generation of Text
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Automated Hate Speech Detection and the Problem of Offensive Language
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Style Transfer from Non-Parallel Text by Cross-Alignment
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Recent Trends in Deep Learning Based Natural Language Processing
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Automatic Detection of Fake News
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A Survey on Natural Language Processing for Fake News Detection
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Building Natural-Language Generation Systems
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The Best Way to a Strong Defense is a Strong Offense: Mitigating Deanonymization Attacks via Iterative Language Translation
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Predicting Threats to Academic Integrity: A Text-Mining and Scenario Modeling Framework
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Effective writing style transfer via combinatorial paraphrasing
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Exploring Deceptive Domain Transfer Strategies: Mitigating the Differences among Deceptive Domains
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INFORMATION RETRIEVAL AND DEANONYMIZATION IN THE TASKS OF EARLY DETECTION OF POTENTIAL ATTACKS ON CRITICAL INFRASTRUCTURE
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Domain-independent deception: a new taxonomy and linguistic analysis
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Effective writing style imitation via combinatorial paraphrasing
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Fake Reviews Detection through Ensemble Learning
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.