Table 1 Comparison of metrics for measuring credibility of tweets
From: Detecting misinformation in online social networks using cognitive psychology
| Criteria | Metrics | Authors | Accuracy | Complexity | Usefulness | Remarks |
|---|---|---|---|---|---|---|
| for fast | ||||||
| detection | ||||||
| Consistency of message | Retweets, mentions | [7],[8],[17], [19],[22],[24] | Retweets are better than mentions | No | Yes | |
| Coherency of message | Questions, affirms, denial, no of words, pronouns, hashtags, URLs, exclamation marks, negative and positive sentiments, NLP techniques | [7],[8], [17]-[20] | Decision tree algorithms with a combination of various factors are accurate | Yes | Computationally intensive, requires ground truth | Content analysis required. Metrics are an indirect measure |
| Credibility of Source | Tweets, retweets, mentions, indegree, user name, image, followers, followees, age | [7],[8],[17], [19],[21],[24] | Retweets are more accurate | No | Yes | |
| General acceptability | Retweets | [7],[8] | Good | No | Yes |
