Dennis Assenmacher
Dennis Assenmacher
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1
AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images
Recent advances in the field of generative artificial intelligence (AI) have blurred the lines between authentic and machine-generated …
Jonas Ricker
,
Dennis Assenmacher
,
Thorsten Holz
,
Asja Fischer
,
Erwin Quiring
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Sexism Detection on a Data Diet
There is an increase in the proliferation of online hate commensurate with the rise in the usage of social media. In response, there is …
Rabiraj Bandyopadhyay
,
Dennis Assenmacher
,
Jose M Alonso-Moral
,
Claudia Wagner
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Project
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
NLP models are used in a variety of critical social computing tasks, such as detecting sexist, racist, or otherwise hateful content. …
Indira Sen
,
Dennis Assenmacher
,
Mattia Samory
,
Isabelle Augenstein
,
Wil Aalst
,
Claudia Wagner
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Invasion@ Ukraine: Providing and Describing a Twitter Streaming Dataset That Captures the Outbreak of War Between Russia and Ukraine in 2022
Janina Susanne Pohl
,
Simon Markmann
,
Dennis Assenmacher
,
Christian Grimme
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The End of the Rehydration Era - The Problem of Sharing Harmful Twitter Research Data
Social media research is currently confronted with a data-sharing problem, as social media platforms prohibit full data distribution in …
Dennis Assenmacher
,
Indira Sen
,
Leon Fröhling
,
Claudia Wagner
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Artificial social media campaign creation for benchmarking and challenging detection approaches
Social media platforms are essential for information sharing and, thus, prone to coordinated dis- and misinformation campaigns. …
Janina S Pohl
,
Dennis Assenmacher
,
Moritz V Seiler
,
Heike Trautmann
,
Christian Grimme
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Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption
Stream clustering is a technique capable of identifying homogeneous groups of observations that continuously arrive in a digital …
Dennis Assenmacher
,
Heike Trautmann
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DOI
RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets
Abuse and hate are penetrating social media and many comment sections of news media companies. To prevent losing readers who get …
Dennis Assenmacher
,
Marco Niemann
,
Kilian Müller
,
Moritz Seiler
,
Dennis Riehle
,
Heike Trautmann
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