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Found 6 papers, 4 papers with code
Considerations for Ethical Speech Recognition Datasets
In this talk, we use automatic speech recognition as a case study and examine the properties that ethical speech datasets should possess towards responsible AI applications.
Upvotes? Downvotes? No Votes? Understanding the relationship between reaction mechanisms and political discourse on Reddit
This study investigates the relationship between social media reaction mechanisms (i. e., upvotes, downvotes) and political rhetoric in user discussions by engaging in an in-depth conceptual analysis of political discourse theory.
Ethical Considerations for Responsible Data Curation
Human-centric computer vision (HCCV) data curation practices often neglect privacy and bias concerns, leading to dataset retractions and unfair models.
The spread of COVID-19 conspiracy theories on social media and the effect of content moderation
We investigate the diffusion of conspiracy theories related to the origin of COVID-19 on social media.
NLP-based Feature Extraction for the Detection of COVID-19 Misinformation Videos on YouTube
We present a simple NLP methodology for detecting COVID-19 misinformation videos on YouTube by leveraging user comments.
Bias in word embeddings
Word embeddings are a widely used set of natural language processing techniques that map words to vectors of real numbers.
