Are online harm spreaders birds of the same feather? A multi-dimensional study on the characteristics of social media harm spreaders

This publication has 39 references indexed in Scilit:

• Profiling Fake News Spreaders on Twitter: A Clickbait and Linguistic Feature Based Scheme
  2022
• The impact of psycholinguistic patterns in discriminating between fake news spreaders and fact checkers
  Data & Knowledge Engineering, 2022
• You Are What You Tweet: Profiling Users by Past Tweets to Improve Hate Speech Detection
  2022
• MANIFESTO: a huMAN-centric explaInable approach for FakE news spreaders deTectiOn
  Computing, 2022
• Characterizing and predicting fake news spreaders in social networks
  International Journal of Data Science and Analytics, 2021
• Resources and benchmark corpora for hate speech detection: a systematic review
  Language Resources and Evaluation, 2020
• FacTweet: Profiling Fake News Twitter Accounts
  2020
• The characteristics of rumor spreaders on Twitter: A quantitative analysis on real data
  Computer Communications, 2020
• The Role of Personality and Linguistic Patterns in Discriminating Between Fake News Spreaders and Fact Checkers
  2020
• Utilizing computational trust to identify rumor spreaders on Twitter
  Social Network Analysis and Mining, 2018