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Understanding the Twitter Usage of Humanities and Social Sciences Academic Journals

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Presentation made for 2018 ASIS&T Annual Meeting

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Understanding the Twitter Usage of Humanities and Social Sciences Academic Journals

  1. 1. #ASIST 18 Understanding the Twitter Usage of Humanities and Social Sciences Academic Journals Aravind Sesagiri Raamkumar, Mojisola Erdt, Harsha Vijayakumar, Yin-Leng Theng Nanyang Technological University, Singapore Edie Rasmussen University of British Columbia, Canada
  2. 2. #ASIST 18 Background • Social media has become a valuable marketing tool for publishers to promote research articles • Twitter is used prominently by both journals and conferences for sharing research works • Studies have even shown that journals with Twitter profiles, tend to have higher academic metrics [1] • Twitter usage has been studied in the context of researchers [2], conferences [3,4] and journals from specific disciplines [5-7]
  3. 3. #ASIST 18 Research Agenda • There has been a distinct lack of studies focusing on the usage of Twitter by journals from a broader outlook i.e., journals from different disciplines • The overall objective of this study is to understand the usage dynamics of Humanities and Social Sciences (HSS) journals in Twitter from a broader perspective • RQ1: What types of actions on Twitter are prevalent among HSS journals? • RQ2: What is the nature of Twitter conversations among the HSS journals? • RQ3: What is the prevalent network structure in Twitter communication graphs of the HSS journals? • RQ4: Which Twitter accounts act as hubs and authorities in the communication graphs of the HSS journals?
  4. 4. #ASIST 18 Methodology 1. Selection of candidate HSS journals from Arts & Humanities Citation (AHCI) and Social Science Citation Index (SSCI) of Master Journals List (MJL) 2. Manual identification of Twitter profiles for the selected HSS journals 3. Extraction of tweets from Twitter profiles of HSS journals 4. Identification of tweets which contain URL(s) 5. Extraction of user-mentions data from tweets 6. Building communication graphs using Gephi with user-mentions data 7. Analysis of tweets and communications graphs
  5. 5. #ASIST 18 Data • 408 out of 4,999 HSS journals were found to have Twitter profiles • 321,094 tweets were extracted for these journals • Note: Basic Twitter API allowed extraction of only 3000 tweets per Twitter profile • The percentage of HSS journals with Twitter accounts is quite low • Around 7% to 9% across the two indices Entity AHCI (n) SSCI (n) Journals [A] 1769 3230 Journals with Twitter Accounts [B] 159 (8.99% of A) 249 (7.71% of A) Extracted Tweets [C] 145419 175675
  6. 6. #ASIST 18 Results – RQ1 Entity AHCI (n) SSCI (n) Retweets (RTs) [E] 32002 (22.01%) 41096 (23.39%) Tweets containing URLs [F] 126172 (86.76% ) 157918 (89.89% ) Tweets containing Links to Articles [G] 7240 (4.98% ) 19370 (11.03%) • Journals from SSCI had the highest number of retweets (23.39%) closely followed by AHCI (22.01%) –> Retweeting is not a very frequent activity • SSCI journals had a higher number of tweets with URLs (89.89%) followed by AHCI (86.76%) –> URL sharing is a frequent activity • The percentage of tweets containing links to research articles is not substantial (less than 15% of total), with SSCI (11.03%) having a better percentage than AHCI (4.98%) –> Research articles URL sharing is infrequent among HSS journals
  7. 7. #ASIST 18 Results – RQ2 Entity AHCI (n) SSCI (n) Total conversations [A] 103181 121099 Unique journal accounts initiating conversations [B] 152 242 Unique mentions [C] 31040 32819 Conversations where mentions are AHCI journals [D] 13812 (13.39% of A) 70 (0.06% of A) Conversations where mentions are SSCI journals [E] 63 (0.06% of A) 16048 (13.25% of A) Unique AHCI journal mentions [F] 142 (93.42% of B) 18 Unique SSCI journal mentions [G] 18 230 (95.04% of B) Conversations where account and mention are same [H] 13015 (12.61% of A) 14398 (11.89% of A) • HSS journals do not seem to be interacting with other journals in Twitter to any great degree (about 13% of total conversations) • Interactions with journals from other index is even lower(<1%) • Self-mentioning (self-citing) of own Twitter profile in tweets is moderately low (about 12%)
  8. 8. #ASIST 18 Results – RQ3 (AHCI) Metric AHCI Number of Nodes 4,280 Number of Edges 12,194 Number of Communities 11 • AHCI graph is represented by multiple communities including philosophy, history, arts, architecture, film and literature • AHCI graph can be classified as a community clusters graph since there are multiple communities with minimal interspersed nodes
  9. 9. #ASIST 18 Results – RQ3 (SSCI) Metric AHCI Number of Nodes 4,656 Number of Edges 14,353 Number of Communities 13 • SSCI graph is represented by more number of communities including law, anthropology, women studies, politics and international security to name a few • Similar to AHCI, SSCI graph can be classified as a community clusters graph
  10. 10. #ASIST 18 Results – RQ4 (AHCI) Top 20 Nodes with Highest In-degree (AUTHORITIES) Top 20 Nodes with Highest Out-degree (HUBS) Twitter Account Account Type Twitter Account Journal Full Name Nytimes News VQR Virginia Quarterly Review Guardian News AiANews Art In America NewYorker Magazine Missouri_Review Missouri Review Parisreview Journal Wasafiri1 Wasafiri Nypl Library Artforum Artforum International Sharethis Social Bookmarking kenyonreview Kenyon Review LAReviewofBooks Magazine TheHudsonReview Hudson Review Metmuseum Museum ArchRecord Architectural Record Tate Art Gallery NERweb New England Review- Middlebury Series LRB Magazine LonJournal London Journal PoetryFound Magazine BurlingtonMag Burlington Magazine nybooks Magazine AD_books Architectural Design TheAtlantic Magazine nybooks New York Review Of Books ElectricLit Digital Library TheTLS Tls-The Times Literary Supplement MuseumModernArt Museum TheAmScho American Scholar OUPAcademic Publisher JCLJournal Journal Of Commonwealth Literature YouTube Video Sharing Apollo_magazine Apollo-The International Art Magazine gmailcom Email NOReview New Orleans Review PublishersWkly Magazine MassReview Massachusetts Review thelithub Not Active ARTnewsmag Artnews • Magazines (e.g., NewYorker) and News Portals (e.g.,Nytimes) are most frequently referenced as mentions in AHCI Twitter conversations • Libraries (e.g., nypl) and Museums (e.g., metmuseum) are also present as authoritative nodes in AHCI Twitter conversations • Only one journal (Parisreview) was identified as a authoritative node • The top 20 out-degree nodes (hubs) comprise of mostly literature and arts journals
  11. 11. #ASIST 18 Results – RQ4 (SSCI) • News Portals (e.g., Nytimes) are most frequently referenced as mentions in SSCI Twitter conversations • Magazines (e.g., TheEconomister) and Journals (e.g., TheSocReview) are also present as authoritative nodes in SSCI Twitter conversations • The journals in the top 20 nodes with highest out- degrees (hubs) are spread across different disciplines unlike AHCI • From the JIF quartiles data, it can be ascertained that only three journals (AmJNurs, AmEthno, ASQJournal) are from the first quartile • There are more second quartile (n=7), third quartile (n=6) and fourth quartile (n=4) journals in this list Top 20 Nodes with Highest In-degree (AUTHORITIES) Top 20 Nodes with Highest Out-degree (HUBS) Twitter Account Account Type Twitter Account Corresponding Journal Title Quartile nytimes News InternatlTheory International Theory 3 guardian News AFSJournal Australian Feminist Studies 3 washingtonpost News AmJNurs American Journal Of Nursing 1 TheEconomist Magazine EPSRjournal European Political Science Review 2 TheAtlantic Magazine po_qu Political Quarterly 4 WSJ News EvidencePolicy Evidence & Policy 2 raulpacheco Researcher BulletinAtomic Bulletin Of The Atomic Scientists 4 chronicle News terpolv Terrorism And Political Violence 2 sharethis Social Bookmarking BASeditors Business & Society 2 NPR Media Organization AmEthno American Ethnologist 1 NewYorker Magazine govandopp Government And Opposition 3 HuffingtonPost News ERSjournal Ethnic And Racial Studies 2 TheSocReview Journal psychmag Psychologist 4 SAGEsociology Journal CMPjournal Culture Medicine And Psychiatry 3 timeshighered Magazine LAPerspectives Latin American Perspectives 3 YouTube Video Sharing mgmt_learning Management Learning 2 TIME Magazine hhrjournal Health And Human Rights 3 Slate Magazine Editor_IES Irish Educational Studies 4 wordpressdotcom Content Management socprobsjournal Social Problems 2 ConversationUK News ASQJournal Administrative Science Quarterly 1
  12. 12. #ASIST 18 Limitations • By considering journals exclusively from MJL, we might be missing some other important journals which are indexed elsewhere • By the end of 2017, Twitter increased the character count in tweets to 280 from the earlier 140 characters • Twitter users can now post more descriptive content and tag more users in their tweets
  13. 13. #ASIST 18 Concluding Remarks • URL sharing was a major activity performed by HSS journals in tweets • Inter-journal communication seemed to be largely restricted to the journals within the same index • Tweets from public news portals and magazines were highly tweeted or retweeted by HSS journals • Non-academic sources were identified as the authoritative sources in the communication graphs formed with the tweet conversations of the the HSS journals • Findings are to be compared with tweets conversations of SCI journals in future work
  14. 14. #ASIST 18 Acknowledgements This research was supported by the National Research Foundation, Prime Minister’s Office, Singapore under its Science of Research, Innovation and Enterprise programme (SRIE Award No. NRF2014-NRF-SRIE001-019) Grant Period: Feb 2015 – Mar 2018
  15. 15. #ASIST 18 Thank you! For any questions, email Aravind at aravind002@ntu.edu.sg
  16. 16. #ASIST 18 References • [1] Wong, K., Piraquive, J., & Levi, J. R. (2018). Social media presence of otolaryngology journals: The past, present, and future. The Laryngoscope, 128(2), 363–368. https://doi.org/10.1002/lary.26727 • [2] Holmberg, K., & Thelwall, M. (2014). Disciplinary differences in Twitter scholarly communication. Scientometrics, 101(2), 1027– 1042. https://doi.org/10.1007/s11192-014-1229-3 • [3] Lee, M. K., Yoon, H. Y., Smith, M., Park, H. J., & Park, H. W. (2017). Mapping a Twitter scholarly communication network: a case of the association of internet researchers’ conference. Scientometrics, 1–31. https://doi.org/10.1007/s11192-017-2413-z • [4] Parra, D., Trattner, C., Gómez, D., Hurtado, M., Wen, X., & Lin, Y.-R. (2016). Twitter in Academic Events: A Study of Temporal Usage, Communication, Sentimental and Topical Patterns in 16 Computer Science Conferences. Computer Communications, 73, 301–314. https://doi.org/10.1016/j.comcom.2015.07.001 • [5] Cosco, T. D. (2015). Medical journals, impact and social media: an ecological study of the Twittersphere. Canadian Medical Association Journal, 187(18), 1353–1357. https://doi.org/10.1503/cmaj.150976 • [6] Kelly, B. S., Redmond, C. E., Nason, G. J., Healy, G. M., Horgan, N. A., & Heffernan, E. J. (2016). The Use of Twitter by Radiology Journals: An Analysis of Twitter Activity and Impact Factor. Journal of the American College of Radiology, 13(11), 1391–1396. https://doi.org/10.1016/j.jacr.2016.06.041 • [7] Nason, G. J., O’Kelly, F., Kelly, M. E., Phelan, N., Manecksha, R. P., Lawrentschuk, N., & Murphy, D. G. (2015). The emerging use of Twitter by urological journals. BJU International, 115(3), 486–490. https://doi.org/10.1111/bju.12840
  17. 17. #ASIST 18