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Found 10 papers, 2 papers with code
Hate Speech Detection Using Cross-Platform Social Media Data In English and German Language
Hate speech has grown into a pervasive phenomenon, intensifying during times of crisis, elections, and social unrest.
Enhancing Research Information Systems with Identification of Domain Experts
As the system is designed in a scalable manner, it can easily include additional institutions and hence provide a broader coverage of research facilities in the future.
TweetInfo: An Interactive System to Mitigate Online Harm
We offer the option to filter content based on metainformation Bot, Hate Speech, Misinformation, Verified Account, Sentiment, Tweet Category, Language.
FakeClaim: A Multiple Platform-driven Dataset for Identification of Fake News on 2023 Israel-Hamas War
We contribute the first publicly available dataset of factual claims from different platforms and fake YouTube videos on the 2023 Israel-Hamas war for automatic fake YouTube video classification.
Overview of the HASOC Subtrack at FIRE 2021: Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages
This paper presents the HASOC subtrack for English, Hindi, and Marathi.
Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
We describe the fourth edition of the CheckThat!
Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages
HASOC has two sub-task for all three languages: task A is a binary classification problem (Hate and Not Offensive) while task B is a fine-grained classification problem for three classes (HATE) Hate speech, OFFENSIVE and PROFANITY.
Tiplines to Combat Misinformation on Encrypted Platforms: A Case Study of the 2019 Indian Election on WhatsApp
There is currently no easy way to fact-check content on WhatsApp and other end-to-end encrypted platforms at scale.
AMUSED: An Annotation Framework of Multi-modal Social Media Data
In this paper, we present a semi-automated framework called AMUSED for gathering multi-modal annotated data from the multiple social media platforms.
An Exploratory Study of COVID-19 Misinformation on Twitter
Although a lot of correct and useful information is shared through channels such as Twitter, it has also become a home ground for misinformation on COVID-19.
Social and Information Networks Computers and Society
