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Found 8 papers, 3 papers with code
Words as Trigger Points in Social Media Discussions
Our work is the first to introduce trigger points to computational studies of online communication.
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research
Despite its relevance, the maturity of NLP for social media pales in comparison with general-purpose models, metrics and benchmarks.
Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluation
The automatic detection of hate speech online is an active research area in NLP.
Twitter Topic Classification
Social media platforms host discussions about a wide variety of topics that arise everyday.
TweetNLP: Cutting-Edge Natural Language Processing for Social Media
In this paper we present TweetNLP, an integrated platform for Natural Language Processing (NLP) in social media.
Negativity Spreads Faster: A Large-Scale Multilingual Twitter Analysis on the Role of Sentiment in Political Communication
Social media has become extremely influential when it comes to policy making in modern societies, especially in the western world, where platforms such as Twitter allow users to follow politicians, thus making citizens more involved in political discussion.
Deriving Disinformation Insights from Geolocalized Twitter Callouts
In particular, the analysis in centered on Twitter and disinformation for three European languages: English, French and Spanish.
COVID-19 and Misinformation: A Large-Scale Lexical Analysis on Twitter
Social media is often used by individuals and organisations as a platform to spread misinformation.
