Method for Identifying Strong and Weak Bad Memes in Public Events
To address the current lack of research on bad memes,a model for identifying bad memes in public events is constructed.Taking the social media data of the"July 5th Hangzhou Women's Disappearance Case"in 2020 as an example,this study reveals the connotation of bad memes.Based on the types and characteristics of bad memes,isMeme features are proposed,and a recognition model is constructed.The model is trained and evaluated to find the optimal recog-nition model.The experimental results indicate that isMeme features can effectively identify bad memes.Among the recognition models,the SVM model performs the best with an accuracy of 95%.This research does not consider the early identification of bad memes,and further research can analyze their early features to achieve effective identification with less data.
public eventsbad memesisMeme featurerecognition model
NETL
NSTL
万方数据
