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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Neural Based Statement Classification for Biased Language
Christoph Hube, Besnik Fetahu
(2019)
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

A systematic review of machine learning techniques for stance detection and its applications
Nora Alturayeif, Hamzah Luqman, Moataz Ahmed
Neural Computing and Applications (2023) Vol. 35, Iss. 7, pp. 5113-5144
Open Access | Times Cited: 43
Automatically Neutralizing Subjective Bias in Text
Reid Pryzant, Richard Diehl Martinez, Nathan Dass, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 01, pp. 480-489
Open Access | Times Cited: 127
Understanding and Mitigating Worker Biases in the Crowdsourced Collection of Subjective Judgments
Christoph Hube, Besnik Fetahu, Ujwal Gadiraju
(2019), pp. 1-12
Closed Access | Times Cited: 115
In Plain Sight: Media Bias Through the Lens of Factual Reporting
Lisa Fan, Marshall White, Eva Sharma, et al.
(2019)
Open Access | Times Cited: 78
A survey on semantic processing techniques
Rui Mao, Kai He, Xulang Zhang, et al.
Information Fusion (2023) Vol. 101, pp. 101988-101988
Open Access | Times Cited: 33
A systematic review on media bias detection: What is media bias, how it is expressed, and how to detect it
Francisco-Javier Rodrigo-Ginés, Jorge Carrillo‐de‐Albornoz, Laura Plaza
Expert Systems with Applications (2023) Vol. 237, pp. 121641-121641
Open Access | Times Cited: 24
Automated identification of bias inducing words in news articles using linguistic and context-oriented features
Timo Spinde, Lada Rudnitckaia, Jelena Mitrović, et al.
Information Processing & Management (2021) Vol. 58, Iss. 3, pp. 102505-102505
Open Access | Times Cited: 51
Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By Experts
Timo Spinde, Manuel Plank, Jan-David Krieger, et al.
(2021), pp. 1166-1177
Open Access | Times Cited: 33
Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection
Martin Wessel, Tomáš Horych, Terry Ruas, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 2765-2774
Open Access | Times Cited: 11
RECAST
Austin P. Wright, Omar Shaikh, Haekyu Park, et al.
Proceedings of the ACM on Human-Computer Interaction (2021) Vol. 5, Iss. CSCW1, pp. 1-26
Open Access | Times Cited: 24
Exploiting Transformer-Based Multitask Learning for the Detection of Media Bias in News Articles
Timo Spinde, Jan-David Krieger, Terry Ruas, et al.
Lecture notes in computer science (2022), pp. 225-235
Closed Access | Times Cited: 17
Towards Detection of Subjective Bias using Contextualized Word Embeddings
Kartikey Pant, Tanvi Dadu, Radhika Mamidi
Companion Proceedings of the The Web Conference 2018 (2020), pp. 75-76
Open Access | Times Cited: 19
How do we raise media bias awareness effectively? Effects of visualizations to communicate bias
Timo Spinde, Christin Jeggle, Magdalena Haupt, et al.
PLoS ONE (2022) Vol. 17, Iss. 4, pp. e0266204-e0266204
Open Access | Times Cited: 10
Sentiment analysis on big sparse data streams with limited labels
Vasileios Iosifidis, Eirini Ntoutsi
Knowledge and Information Systems (2019) Vol. 62, Iss. 4, pp. 1393-1432
Closed Access | Times Cited: 17
Utilizing BERT Pretrained Models with Various Fine-Tune Methods for Subjectivity Detection
Hairong Huo, Mizuho Iwaihara
Lecture notes in computer science (2020), pp. 270-284
Closed Access | Times Cited: 13
StRE: Self Attentive Edit Quality Prediction in Wikipedia
Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar, et al.
(2019), pp. 3962-3972
Open Access | Times Cited: 12
Towards A Reliable Ground-Truth For Biased Language Detection
Timo Spinde, David Krieger, Manuel Plank, et al.
(2021), pp. 324-325
Open Access | Times Cited: 11
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia
Kenichiro Ando, Satoshi Sekine, Mamoru Komachi
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 17656-17663
Open Access | Times Cited: 1
News Ninja: Gamified Annotation of Linguistic Bias in Online News
Smi Hinterreiter, Timo Spinde, Sebastian Oberdörfer, et al.
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CHI PLAY, pp. 1-29
Open Access | Times Cited: 1
Readable and neutral? Reliability of crowdsourced misinformation debunking through linguistic and psycholinguistic cues
Manjiang Yao, Sha Tian, Wenjun Zhong
Frontiers in Psychology (2024) Vol. 15
Open Access | Times Cited: 1
Computational Ad Hominem Detection
Pieter Delobelle, M.De Moraes Cunha, Eric Massip Cano, et al.
(2019), pp. 203-209
Closed Access | Times Cited: 10
An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles
Timo Spinde
2021 International Conference on Data Mining Workshops (ICDMW) (2021), pp. 1096-1103
Open Access | Times Cited: 8
Debiasing Word Embeddings from Sentiment Associations in Names
Christoph Hube, Maximilian Idahl, Besnik Fetahu
(2020), pp. 259-267
Closed Access | Times Cited: 8
Context in Informational Bias Detection
Esther van den Berg, Katja Markert
Proceedings of the 17th international conference on Computational linguistics - (2020), pp. 6315-6326
Open Access | Times Cited: 8
Towards Better Detection of Biased Language with Scarce, Noisy, and Biased Annotations
Zhuoyan Li, Zhuoran Lu, Ming Yin
(2022), pp. 411-423
Open Access | Times Cited: 5
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