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Found 6 papers, 2 papers with code
Retweet communities reveal the main sources of hate speech
In fact, the main sources of unacceptable tweets are anonymous accounts, and accounts that were suspended or closed during the years 2018-2020.
Online Hate: Behavioural Dynamics and Relationship with Misinformation
Interestingly, users loyal to reliable sources use on average a more toxic language than their counterpart.
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift
We propose a new method that leverages contextual embeddings for the task of diachronic semantic shift detection by generating time specific word representations from BERT embeddings.
Embeddia at SemEval-2019 Task 6: Detecting Hate with Neural Network and Transfer Learning Approaches
For the first sub-task, we used a BERT model fine-tuned on the OLID dataset, while for the second and third tasks we developed a custom neural network architecture which combines bag-of-words features and automatically generated sequence-based features.
Forex trading and Twitter: Spam, bots, and reputation manipulation
Currency trading (Forex) is the largest world market in terms of volume.
Sentiment of Emojis
We provide the first emoji sentiment lexicon, called the Emoji Sentiment Ranking, and draw a sentiment map of the 751 most frequently used emojis.
