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08/24/2023
Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities
Spurred by the recent rapid increase in the development and distribution...
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08/11/2023
Large Language Models in Cryptocurrency Securities Cases: Can ChatGPT Replace Lawyers?
Large Language Models (LLMs) could enhance access to the legal system. H...
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03/10/2023
Susceptibility to Influence of Large Language Models
Two studies tested the hypothesis that a Large Language Model (LLM) can ...
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03/01/2023
Of Degens and Defrauders: Using Open-Source Investigative Tools to Investigate Decentralized Finance Frauds and Money Laundering
Fraud across the decentralized finance (DeFi) ecosystem is growing, with...
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02/01/2023
The RW3D: A multi-modal panel dataset to understand the psychological impact of the pandemic
Besides far-reaching public health consequences, the COVID-19 pandemic h...
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12/07/2022
Testing Human Ability To Detect Deepfake Images of Human Faces
Deepfakes are computationally-created entities that falsely represent re...
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10/20/2022
Identifying Human Strategies for Generating Word-Level Adversarial Examples
Adversarial examples in NLP are receiving increasing research attention....
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10/06/2022
Explainable Verbal Deception Detection using Transformers
People are regularly confronted with potentially deceptive statements (e...
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09/28/2022
Who is GPT-3? An Exploration of Personality, Values and Demographics
Language models such as GPT-3 have caused a furore in the research commu...
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08/27/2022
Textwash – automated open-source text anonymisation
The increased use of text data in social science research has benefited ...
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12/06/2021
Detecting DeFi Securities Violations from Token Smart Contract Code with Random Forest Classification
Decentralized Finance (DeFi) is a system of financial products and servi...
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10/28/2021
Confounds and Overestimations in Fake Review Detection: Experimentally Controlling for Product-Ownership and Data-Origin
The popularity of online shopping is steadily increasing. At the same ti...
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09/09/2021
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification
Research shows that natural language processing models are generally con...
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07/07/2021
Worry, coping and resignation – A repeated-measures study on emotional responses after a year in the pandemic
The introduction of COVID-19 lockdown measures and an outlook on return ...
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03/16/2021
No Intruder, no Validity: Evaluation Criteria for Privacy-Preserving Text Anonymization
For sensitive text data to be shared among NLP researchers and practitio...
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09/10/2020
The Grievance Dictionary: Understanding Threatening Language Use
This paper introduces the Grievance Dictionary, a psycholinguistic dicti...
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09/02/2020
Too good to be true? Predicting author profiles from abusive language
The problem of online threats and abuse could potentially be mitigated w...
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06/16/2020
Manipulating emotions for ground truth emotion analysis
Text data are being used as a lens through which human cognition can be ...
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04/17/2020
Women worry about family, men about the economy: Gender differences in emotional responses to COVID-19
Among the critical challenges around the COVID-19 pandemic is dealing wi...
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04/13/2020
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples
While recent efforts have shown that neural text processing models are v...
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04/09/2020
Violent music vs violence and music: Drill rap and violent crime in London
The current policy of removing drill music videos from social media plat...
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04/08/2020
Measuring Emotions in the COVID-19 Real World Worry Dataset
The COVID-19 pandemic is having a dramatic impact on societies and econo...
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03/30/2020
How human judgment impairs automated deception detection performance
Background: Deception detection is a prevalent problem for security prac...
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11/04/2019
Examining UK drill music through sentiment trajectory analysis
This paper presents how techniques from natural language processing can ...
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08/30/2019
Online influence, offline violence: Linguistic responses to the 'Unite the Right' rally
The media frequently describes the 2017 Charlottesville 'Unite the Right...
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08/29/2018
Identifying the sentiment styles of YouTube's vloggers
Vlogs provide a rich public source of data in a novel setting. This pape...
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08/23/2017
