Automated identification of media bias in news articles: an interdisciplinary literature review
Media bias, ie, slanted news coverage, can strongly impact the public perception of the
reported topics. In the social sciences, research over the past decades has developed …
reported topics. In the social sciences, research over the past decades has developed …
Auditing partisan audience bias within google search
There is a growing consensus that online platforms have a systematic influence on the
democratic process. However, research beyond social media is limited. In this paper, we …
democratic process. However, research beyond social media is limited. In this paper, we …
Ontology-based sentiment analysis of twitter posts
The emergence of Web 2.0 has drastically altered the way users perceive the Internet, by
improving information sharing, collaboration and interoperability. Micro-blogging is one of …
improving information sharing, collaboration and interoperability. Micro-blogging is one of …
Multilingual evaluation of pre-processing for BERT-based sentiment analysis of tweets
Social media offer a big amount of information, to exploit in many fields of research.
However, while methods for Natural Language Processing are being developed with good …
However, while methods for Natural Language Processing are being developed with good …
NLP-based feature extraction for the detection of COVID-19 misinformation videos on YouTube
JCM Serrano, O Papakyriakopoulos… - … on NLP for COVID-19 at …, 2020 - aclanthology.org
We present a simple NLP methodology for detecting COVID-19 misinformation videos on
YouTube by leveraging user comments. We use transfer learning pre-trained models to …
YouTube by leveraging user comments. We use transfer learning pre-trained models to …
Suppressing the search engine manipulation effect (SEME)
R Epstein, RE Robertson, D Lazer… - Proceedings of the ACM on …, 2017 - dl.acm.org
A recent series of experiments demonstrated that introducing ranking bias to election-related
search engine results can have a strong and undetectable influence on the preferences of …
search engine results can have a strong and undetectable influence on the preferences of …
Hotel Arabic-reviews dataset construction for sentiment analysis applications
A Elnagar, YS Khalifa, A Einea - Intelligent natural language processing …, 2018 - Springer
Arabic language suffers from the lack of available large datasets for machine learning and
sentiment analysis applications. This work adds to the recently reported large dataset BRAD …
sentiment analysis applications. This work adds to the recently reported large dataset BRAD …
How community feedback shapes user behavior
J Cheng, C Danescu-Niculescu-Mizil… - Proceedings of the …, 2014 - ojs.aaai.org
Social media systems rely on user feedback and rating mechanisms for personalization,
ranking, and content filtering. However, when users evaluate content contributed by fellow …
ranking, and content filtering. However, when users evaluate content contributed by fellow …
Analyzing right-wing youtube channels: Hate, violence and discrimination
As of 2018, YouTube, the major online video sharing website, hosts multiple channels
promoting right-wing content. In this paper, we observe issues related to hate, violence and …
promoting right-wing content. In this paper, we observe issues related to hate, violence and …
Identifying framing bias in online news
It has been observed that different media outlets exert bias in the way they report the news,
which seamlessly influences the way that readers' knowledge is built through filtering what …
which seamlessly influences the way that readers' knowledge is built through filtering what …