The FakeNews task in MediaEval 2022 investigates the challenge of finding accurate and high-performance models for the classification of conspiracy tweets related to COVID-19. In this paper, we used BERT, ELMO, and their combination for feature extraction and RandomForest as classifier. The results show that ELMO performs slightly better than BERT, however their combination at feature level reduces the performance.

翻译：MediaEval 2022中的FakeNews任务致力于探索针对COVID-19相关阴谋论推文分类的高精度高性能模型构建挑战。本研究采用BERT、ELMO及其组合进行特征提取，并以随机森林作为分类器。实验结果表明，ELMO性能略优于BERT，但两者在特征层面的融合反而导致性能下降。