Comparison of peak-to-mean and mean values for trend promoter and normal user (bin size=1 hour).

Comparison of peak-to-mean and mean values for trend promoter and normal user (bin size=1 hour).

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Twitter trends have enabled the speedy dissemination of information with the ability to affect public opinion. Unfortunately, fake trends are also generated by malicious users to mislead the public. In general, Twitter users are studied in depth to identify humans, bots, spam, and fake accounts. However, artificial intelligence algorithms are not d...

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Context 1
... we hypothesize that trend promoters post a high volume of tweets in a small amount of time during their complete activity related to a hashtag. Figure 2 shows the example of the temporal frequency of tweets posted by trend promoters and normal users. To avail this attribute, first, we calculate the mean frequency of tweets posted by users. ...
Context 2
... the equation, Max(Tweets) is the maximum number of tweets posted by a user in one hour bin and Mean(Tweets) is an average number of tweets related to the hashtag. Figure 2 shows that trend promoters have peak-to-mean value greater than the mean due to the large number of tweets posted in lesser time. Consequently, the peak-to-mean and mean values for normal users are equal. ...