67 citations · 361 across the 22 of their papers we have counts for
24 papers
What's in the News? Towards Identification of Bias by Commission, Omission, and Source Selection (COSS)
Anastasia Zhukova, Terry Ruas, Felix Hamborg +2
In a world overwhelmed with news, determining which information comes from reliable sources or how neutral is the reported information in the news articles poses a challenge to new…
The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research
Mohamed Abdalla, Jan Philip Wahle, Terry Ruas +4
Recent advances in deep learning methods for natural language processing (NLP) have created new business opportunities and made NLP research critical for industry development. As o…
Introducing MBIB -- the first Media Bias Identification Benchmark Task and Dataset Collection
Martin Wessel, Tomáš Horych, Terry Ruas +3
Although media bias detection is a complex multi-task problem, there is, to date, no unified benchmark grouping these evaluation tasks. We introduce the Media Bias Identification B…
Paraphrase Detection: Human vs. Machine Content
Jonas Becker, Jan Philip Wahle, Terry Ruas +1
The growing prominence of large language models, such as GPT-4 and ChatGPT, has led to increased concerns over academic integrity due to the potential for machine-generated content…
AI Usage Cards: Responsibly Reporting AI-generated Content
Jan Philip Wahle, Terry Ruas, Saif M. Mohammad +2
Given AI systems like ChatGPT can generate content that is indistinguishable from human-made work, the responsible use of this technology is a growing concern. Although understandi…
Analyzing Multi-Task Learning for Abstractive Text Summarization
Frederic Kirstein, Jan Philip Wahle, Terry Ruas +1
Despite the recent success of multi-task learning and pre-finetuning for natural language understanding, few works have studied the effects of task families on abstractive text sum…