Am I typing fresh tweets: Detecting up-to-dateness and worth of categorical information in microblogs. Issue 12 (15th July 2015)

• Record Type: Journal Article
• Authors: Cingiz, Mustafa Özgür; Diri, Banu; Biricik, Göksel
• Is Part Of: Expert systems with applications. Volume 42:Issue 12(2015)
• Page Start: 5256
• Page End: 5263
• Publication Date: 2015-07-15
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2015.02.025
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st075">Highlights</title> <sec> <p id="sp005"> <list id="l0005"> <list-item id="u0005"> <label></label> <p id="p0270">We compare bot &amp; normal user tweets and check their up-to-dateness by using RSS feeds.</p> </list-item> <list-item id="u0010"> <label></label> <p id="p0275">We evaluate the relevance of tweet contents to the categorical taxonomies of users.</p> </list-item> <list-item id="u0015"> <label></label> <p id="p0280">Longer tweets of bot users reflect their categories better than normal users.</p> </list-item> <list-item id="u0020"> <label></label> <p id="p0285">Referring to RSS news feeds, content provided by bot users is more up-to-date.</p> </list-item> </list> </p> </sec> </abstract>