Interesting article posted recently in MIT Technology Reviews. What kind of metrics would help detect such tweets? We think the following might be useful: Local time (like late at night) Whether a picture or not is associated with the tweet Whether a link or not is associated with the tweet Number of typos for the tweet in question, compared with average for the user in question Frequency of tw…
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