TY - JOUR
AU - 
AB - Received February 12, 2020, accepted March 6, 2020, date of publication March 26, 2020, date of current version April 22, 2020. Digital Object Identifier 10.1109/ACCESS.2020.2983656 Twitter and Research: A Systematic Literature Review Through Text Mining 1 2 3 4 AMIR KARAMI , MORGAN LUNDY , FRANK WEBB , AND YOGESH K. DWIVEDI College of Information and Communications, University of South Carolina, Columbia, SC 29208, USA College of Arts and Sciences, University of South Carolina, Columbia, SC 29208, USA South Carolina Honors College, University of South Carolina, Columbia, SC 29208, USA School of Management, Swansea University, Swansea SA2 8PP, U.K. Corresponding author: Amir Karami (karami@sc.edu) This work was supported in part by the Social Science Research Grant Program, and in part by the Open Access Fund at the University of South Carolina. ABSTRACT Researchers have collected Twitter data to study a wide range of topics. This growing body of literature, however, has not yet been reviewed systematically to synthesize Twitter-related papers. The existing literature review papers have been limited by constraints of traditional methods to manually select and analyze samples of topically related papers. The goals of this retrospective study are to identify dominant topics of Twitter-based research, summarize the 
TI - Twitter and Research: A Systematic Literature Review Through Text Mining
JF - IEEE Access
DO - 10.1109/access.2020.2983656
DA - 2020-01-01
UR - https://www.deepdyve.com/lp/unpaywall/twitter-and-research-a-systematic-literature-review-through-text-g0K32WIp8m
DP - DeepDyve
ER -