馃挕 Last September 6-9, our partner College of Law and Business 讛诪专讻讝 讛讗拽讚诪讬 诇诪砖驻讟 讜诇注住拽讬诐 / CLB - 讛诪专讻讝 讛讗拽讚诪讬 诇诪砖驻讟 讜诇注住拽讬诐 讬 诇诪砖驻讟 讜诇注住拽讬诐 (Avi Yosipof, Ph.D. and Or Elroy) presented and published its new Natural language processing (NLP) research paper at the International Conference on Artificial Neural Network, ICANN2022: "Analysis of COVID-19 5G Conspiracy Theory Tweets Using SentenceBERT Embedding" (https://lnkd.in/eQFp5TwT).
The research is part of CORE EU-funded Project.
馃搼 ABSTRACT 馃搼
"Twitter is a popular major social media platform with a central role in the distribution of information, and as such a fertile land for the growth of conspiracy theories in different subjects, with COVID-19 conspiracies among them. In this research, we collected a dataset of 331,448 tweets related to the COVID-19 5G conspiracy theory.
We present a workflow to collect, classify, and analyze conspiracy related tweets as supporting or opposing the conspiracy theory. We hand labeled 4,291 tweets and trained a classifier using a novel approach containing two sets of features: a set of sentence embeddings produced by Covid-Twitter-BERT and Sentence-BERT, and a set of external features.
We used five different classifiers and ensemble learning to combine them. We classified the dataset and analyzed the classified dataset to conclude that opponents of the conspiracy dominate the conversation on Twitter."
馃挕 ICANN Conferences 馃挕
The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2022 the Department of Computer Science and Creative Technologies of the University of the West of England, in Bristol, United Kingdom organised ICANN 2022.
More information at https://lnkd.in/e4R9vEaf.
馃憠馃憠馃憠 Analysis of COVID-19 5G Conspiracy Theory Tweets Using SentenceBERT Embedding: https://lnkd.in/dcpvDKQ9 馃憟馃憟馃憟
![馃摪 [PARTNER PUBLICATION] COVID-19 5G Conspiracy Theory 馃摪](/images/2022/10/27/978-3-031-15931-2.webp)