{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T22:46:12Z","timestamp":1785192372577,"version":"3.55.0"},"reference-count":52,"publisher":"MIT Press","issue":"4","license":[{"start":{"date-parts":[[2021,11,8]],"date-time":"2021-11-08T00:00:00Z","timestamp":1636329600000},"content-version":"vor","delay-in-days":311,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["direct.mit.edu"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,12,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>While previous research has mostly focused on the \u201cnumber of mentions\u201d of scientific research on social media, the current study applies \u201ctopic networks\u201d to measure public attention to scientific research on Twitter. Topic networks are the networks of co-occurring author keywords in scholarly publications and networks of co-occurring hashtags in the tweets mentioning those publications. We investigate which topics in opioid scholarly publications have received public attention on Twitter. Additionally, we investigate whether the topic networks generated from the publications tweeted by all accounts (bot and nonbot accounts) differ from those generated by nonbot accounts. Our analysis is based on a set of opioid publications from 2011 to 2019 and the tweets associated with them. Results indicated that Twitter users have mostly used generic terms to discuss opioid publications, such as \u201cPain,\u201d \u201cAddiction,\u201d \u201cAnalgesics,\u201d \u201cAbuse,\u201d \u201cOverdose,\u201d and \u201cDisorders.\u201d A considerable amount of tweets is produced by accounts that were identified as automated social media accounts, known as bots. There was a substantial overlap between the topic networks based on the tweets by all accounts (bot and nonbot accounts). This result indicates that it might not be necessary to exclude bot accounts for generating topic networks as they have a negligible impact on the results. This study provided some preliminary evidence that scholarly publications have a network agenda-setting effect on Twitter.<\/jats:p>","DOI":"10.1162\/qss_a_00168","type":"journal-article","created":{"date-parts":[[2021,11,8]],"date-time":"2021-11-08T20:12:06Z","timestamp":1636402326000},"page":"1486-1510","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":15,"title":["Investigating dissemination of scientific information on Twitter: A study of topic networks in opioid publications"],"prefix":"10.1162","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7025-7256","authenticated-orcid":true,"given":"Robin","family":"Haunschild","sequence":"first","affiliation":[{"name":"Max Planck Institute for Solid State Research, Stuttgart, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0810-7091","authenticated-orcid":true,"given":"Lutz","family":"Bornmann","sequence":"additional","affiliation":[{"name":"Division for Science and Innovation Studies, Administrative Headquarters of the Max Planck Society, Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2507-8157","authenticated-orcid":true,"given":"Devendra","family":"Potnis","sequence":"additional","affiliation":[{"name":"School of Information Sciences, College of Communication and Information, University of Tennessee, Knoxville, TN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7750-0183","authenticated-orcid":true,"given":"Iman","family":"Tahamtan","sequence":"additional","affiliation":[{"name":"School of Information Sciences, Communication, and Information, University of Tennessee, Knoxville, TN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"281","published-online":{"date-parts":[[2021,12,1]]},"reference":[{"issue":"1","key":"2022040819221726300_bib1","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1177\/0963662518761733","article-title":"Identifying diffusion patterns of research articles on Twitter: A case study of online engagement with open access articles","volume":"28","author":"Alperin","year":"2019","journal-title":"Public Understanding of Science"},{"issue":"4","key":"2022040819221726300_bib2","doi-asserted-by":"publisher","first-page":"895","DOI":"10.1016\/j.joi.2014.09.005","article-title":"Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics","volume":"8","author":"Bornmann","year":"2014","journal-title":"Journal of Informetrics"},{"issue":"6","key":"2022040819221726300_bib3","doi-asserted-by":"publisher","DOI":"10.1002\/14651858.CD006332.pub3","article-title":"Mu-opioid antagonists for opioid-induced bowel dysfunction in people with cancer and people receiving palliative care","author":"Candy","year":"2018","journal-title":"Cochrane Database of Systematic Reviews"},{"key":"2022040819221726300_bib4","volume-title":"2018 Annual Surveillance Report of Drug-Related Risks and Outcomes\u2014United States Surveillance Special Report","author":"Centers for Disease Control and Prevention","year":"2018"},{"key":"2022040819221726300_bib5","volume-title":"2018 Annual Surveillance Report of Drug-Related Risks and Outcomes\u2014United States Surveillance Special Report","author":"Centers for Disease Control and Prevention","year":"2018"},{"key":"2022040819221726300_bib6","volume-title":"2019 Annual Surveillance Report of Drug-Related Risks and Outcomes\u2014United States Surveillance Special Report","author":"Centers for Disease Control and Prevention","year":"2019"},{"key":"2022040819221726300_bib7","volume-title":"2019 Annual Surveillance Report of Drug-Related Risks and Outcomes\u2014United States Surveillance Special Report","author":"Centers for Disease Control and Prevention","year":"2019"},{"key":"2022040819221726300_bib8","volume-title":"CDC Guideline for Prescribing Opioids for Chronic Pain","author":"Centers for Disease Control and Prevention","year":"2019"},{"key":"2022040819221726300_bib9","doi-asserted-by":"publisher","DOI":"10.1111\/anae.15057","article-title":"Social media for rapid knowledge dissemination: Early experience from the COVID-19 pandemic","author":"Chan","year":"2020","journal-title":"Anaesthesia"},{"key":"2022040819221726300_bib10","volume-title":"KeyWords Plus generation, creation, and changes","author":"Clarivate Analytics","year":"2018"},{"key":"2022040819221726300_bib11","doi-asserted-by":"publisher","DOI":"10.1145\/2872518.2889302","volume-title":"BotOrNot: A system to evaluate social bots","author":"Davis","year":"2016"},{"issue":"3","key":"2022040819221726300_bib12","doi-asserted-by":"publisher","first-page":"960","DOI":"10.1016\/j.joi.2018.08.002","article-title":"Investigating the quality of interactions and public engagement around scientific papers on Twitter","volume":"12","author":"Didegah","year":"2018","journal-title":"Journal of Informetrics"},{"issue":"12","key":"2022040819221726300_bib13","doi-asserted-by":"publisher","DOI":"10.1002\/14651858.CD012624.pub2","article-title":"Pre-emptive and preventive opioids for postoperative pain in adults undergoing all types of surgery","author":"Doleman","year":"2018","journal-title":"Cochrane Database of Systematic Reviews"},{"key":"2022040819221726300_bib14","article-title":"#covid-19 on Twitter: Bots, conspiracies, and social media activism","author":"Ferrara","year":"2020","journal-title":"arXiv preprint"},{"issue":"6","key":"2022040819221726300_bib15","doi-asserted-by":"publisher","DOI":"10.5210\/fm.v25i6.10633","article-title":"What types of COVID-19 conspiracies are populated by Twitter bots?","volume":"25","author":"Ferrara","year":"2020","journal-title":"First Monday"},{"key":"2022040819221726300_bib16","first-page":"37","article-title":"Semantic network analysis, mind mapping and visualization: A methodological exploration of the network agenda setting model","volume-title":"The power of information networks","author":"Guo","year":"2015"},{"key":"2022040819221726300_bib17","article-title":"Network agenda setting: A third level of media effects","volume-title":"Annual Conference of the International Communication Association","author":"Guo","year":"2011"},{"key":"2022040819221726300_bib18","doi-asserted-by":"publisher","DOI":"10.2478\/jdis-2020-0017","article-title":"Library and information science papers as topics on Twitter: A network approach to measuring public attention","volume-title":"ISSI 2019 \u2013 17th International Conference of the International Society for Scientometrics and Informetrics","author":"Haunschild","year":"2019"},{"issue":"2","key":"2022040819221726300_bib19","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1016\/j.joi.2019.03.008","article-title":"Does the public discuss other topics on climate change than researchers? A comparison of explorative networks based on author keywords and hashtags","volume":"13","author":"Haunschild","year":"2019","journal-title":"Journal of Informetrics"},{"issue":"3","key":"2022040819221726300_bib20","doi-asserted-by":"publisher","first-page":"5","DOI":"10.2478\/jdis-2020-0017","article-title":"Library and information science papers discussed on Twitter: A new network-based approach for measuring public attention","volume":"5","author":"Haunschild","year":"2020","journal-title":"Journal of Data and Information Science"},{"issue":"1","key":"2022040819221726300_bib21","doi-asserted-by":"publisher","first-page":"101020","DOI":"10.1016\/j.joi.2020.101020","article-title":"Corrigendum to \u201cDoes the public discuss other topics on climate change than researchers? A comparison of explorative networks based on author keywords and hashtags\u201d [J. Informetrics 13 (2019) 695\u2013707]","volume":"14","author":"Haunschild","year":"2020","journal-title":"Journal of Informetrics"},{"issue":"1","key":"2022040819221726300_bib22","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1002\/asi.23456","article-title":"Tweets as impact indicators: Examining the implications of automated \u201cbot\u201d accounts on Twitter","volume":"67","author":"Haustein","year":"2016","journal-title":"Journal of the Association for Information Science and Technology"},{"issue":"1","key":"2022040819221726300_bib23","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1111\/isj.12127","article-title":"Diffusion of knowledge in social media networks: Effects of reputation mechanisms and distribution of knowledge roles","volume":"28","author":"Havakhor","year":"2018","journal-title":"Information Systems Journal"},{"key":"2022040819221726300_bib24","article-title":"Are social bots on Twitter political actors? Empirical evidence from a Ukrainian social botnet","volume-title":"Tenth International AAAI Conference on Web and Social Media","author":"Hegelich","year":"2016"},{"issue":"1","key":"2022040819221726300_bib25","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1002\/asi.24207","article-title":"Automated analysis of actor\u2013topic networks on Twitter: New approaches to the analysis of socio-semantic networks","volume":"71","author":"Hellsten","year":"2020","journal-title":"Journal of the Association for Information Science and Technology"},{"issue":"3","key":"2022040819221726300_bib26","doi-asserted-by":"publisher","first-page":"280","DOI":"10.1002\/poi3.202","article-title":"Followers retweet! The influence of middle-level gatekeepers on the spread of political information on Twitter","volume":"11","author":"Hemsley","year":"2019","journal-title":"Policy & Internet"},{"issue":"1","key":"2022040819221726300_bib27","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1016\/0020-0190(89)90102-6","article-title":"An algorithm for drawing general undirected graphs","volume":"31","author":"Kamada","year":"1989","journal-title":"Information Processing Letters"},{"key":"2022040819221726300_bib28","volume-title":"tweetbotornot","author":"Kearney","year":"2019"},{"key":"2022040819221726300_bib29","first-page":"1","article-title":"Bots and automation over Twitter during the first US presidential debate","volume":"1","author":"Kollanyi","year":"2016","journal-title":"Comprop Data Memo"},{"issue":"1","key":"2022040819221726300_bib30","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1177\/1524839911405850","article-title":"Harnessing social media for health promotion and behavior change","volume":"14","author":"Korda","year":"2013","journal-title":"Health Promotion Practice"},{"key":"2022040819221726300_bib60","first-page":"899","article-title":"Encyclopedia of communication theory","author":"Leeds-Hurwitz","year":"2009"},{"issue":"1","key":"2022040819221726300_bib31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1093\/eurpub\/cky123","article-title":"Social media, bots and research performance","volume":"29","author":"Leidl","year":"2019","journal-title":"European Journal of Public Health"},{"issue":"6","key":"2022040819221726300_bib32","doi-asserted-by":"publisher","first-page":"682","DOI":"10.1080\/21670811.2015.1081822","article-title":"News bots: Automating news and information dissemination on Twitter","volume":"4","author":"Lokot","year":"2016","journal-title":"Digital Journalism"},{"issue":"10","key":"2022040819221726300_bib33","doi-asserted-by":"publisher","DOI":"10.1002\/14651858.CD003483.pub3","article-title":"Naloxone for opioid-exposed newborn infants","author":"Moe-Byrne","year":"2018","journal-title":"Cochrane Database of Systematic Reviews"},{"issue":"2","key":"2022040819221726300_bib34","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1002\/leap.1271","article-title":"Who shares health and medical scholarly articles on Facebook?","volume":"33","author":"Mohammadi","year":"2020","journal-title":"Learned Publishing"},{"issue":"5","key":"2022040819221726300_bib35","doi-asserted-by":"publisher","first-page":"e0197265","DOI":"10.1371\/journal.pone.0197265","article-title":"Academic information on Twitter: A user survey","volume":"13","author":"Mohammadi","year":"2018","journal-title":"PLOS ONE"},{"key":"2022040819221726300_bib36","volume-title":"RSQLite: SQLite Interface for R. R package version 1.1-2","author":"M\u00fcller","year":"2017"},{"issue":"1","key":"2022040819221726300_bib37","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1080\/03043797.2012.742871","article-title":"Using social media to facilitate knowledge transfer in complex engineering environments: A primer for educators","volume":"38","author":"Murphy","year":"2013","journal-title":"European Journal of Engineering Education"},{"key":"2022040819221726300_bib38","volume-title":"What are prescription opioids?","author":"National Institute on Drug Abuse","year":"2019"},{"key":"2022040819221726300_bib39","doi-asserted-by":"publisher","DOI":"10.1101\/2020.05.27.20114983","article-title":"A call for governments to pause Twitter censorship: A cross-sectional study using Twitter data as social-spatial sensors of COVID-19\/SARS-CoV-2 research diffusion","author":"Patel","year":"2020","journal-title":"medRxiv"},{"issue":"8","key":"2022040819221726300_bib61","doi-asserted-by":"publisher","DOI":"10.5210\/fm.v25i8.10651","article-title":"Investigating \u201cmessage forwarding behavior\u201d of mobile phone users: Exploring the link between message content, user sentiment, and user intention to forward messages on social media-based instant messaging platforms","volume":"25","author":"Potnis","year":"2020","journal-title":"First Monday"},{"key":"2022040819221726300_bib40","doi-asserted-by":"publisher","first-page":"1234","DOI":"10.1002\/asi.24467","article-title":"Hashtags for gatekeeping of information on social media","volume":"72","author":"Potnis","year":"2021","journal-title":"Journal of the Association for Information Science and Technology"},{"key":"2022040819221726300_bib41","volume-title":"R: A language and environment for statistical computing","author":"R Core Team","year":"2019"},{"key":"2022040819221726300_bib42","author":"R Special Interest Group on Databases (R-SIG-DB)","year":"2018"},{"issue":"4","key":"2022040819221726300_bib43","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1093\/pm\/pnw182","article-title":"Association between commonly prescribed opioids and androgen deficiency in men: a retrospective cohort analysis","volume":"18","author":"Rubinstein","year":"2017","journal-title":"Pain Medicine"},{"issue":"50\u201351","key":"2022040819221726300_bib44","doi-asserted-by":"publisher","first-page":"1445","DOI":"10.15585\/mmwr.mm655051e1","article-title":"Increases in drug and opioid-involved overdose deaths\u2014United States, 2010\u20132015","volume":"65","author":"Rudd","year":"2016","journal-title":"Morbidity and Mortality Weekly Report"},{"issue":"4","key":"2022040819221726300_bib45","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.1111\/ajt.13776","article-title":"Increases in drug and opioid overdose deaths\u2014United States, 2000\u20132014","volume":"16","author":"Rudd","year":"2016","journal-title":"American Journal of Transplantation"},{"issue":"6","key":"2022040819221726300_bib46","doi-asserted-by":"publisher","DOI":"10.1002\/14651858.CD007396.pub3","article-title":"Parenteral opioids for maternal pain management in labour","author":"Smith","year":"2018","journal-title":"Cochrane Database of Systematic Reviews"},{"issue":"9","key":"2022040819221726300_bib47","doi-asserted-by":"publisher","first-page":"2037","DOI":"10.1002\/asi.23833","article-title":"Scholarly use of social media and altmetrics: A review of the literature","volume":"68","author":"Sugimoto","year":"2017","journal-title":"Journal of the Association for Information Science and Technology"},{"issue":"1","key":"2022040819221726300_bib48","doi-asserted-by":"publisher","DOI":"10.3145\/epi.2020.ene.02","article-title":"Altmetrics and societal impact measurements: Match or mismatch? A literature review","volume":"29","author":"Tahamtan","year":"2020","journal-title":"El profesional de la informaci\u00f3n (EPI)"},{"issue":"4","key":"2022040819221726300_bib49","doi-asserted-by":"publisher","first-page":"1031","DOI":"10.1177\/1077699016679976","article-title":"Networks, big data, and intermedia agenda setting: An analysis of traditional, partisan, and emerging online US news","volume":"94","author":"Vargo","year":"2017","journal-title":"Journalism & Mass Communication Quarterly"},{"key":"2022040819221726300_bib50","volume-title":"Ending America\u2019s Opioid Crisis","author":"White House, The","year":"2017"}],"container-title":["Quantitative Science Studies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/direct.mit.edu\/qss\/article-pdf\/2\/4\/1486\/2007887\/qss_a_00168.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/direct.mit.edu\/qss\/article-pdf\/2\/4\/1486\/2007887\/qss_a_00168.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T19:22:42Z","timestamp":1649445762000},"score":1,"resource":{"primary":{"URL":"https:\/\/direct.mit.edu\/qss\/article\/2\/4\/1486\/108046\/Investigating-dissemination-of-scientific"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":52,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,12,1]]}},"URL":"https:\/\/doi.org\/10.1162\/qss_a_00168","relation":{},"ISSN":["2641-3337"],"issn-type":[{"value":"2641-3337","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2021]]},"published":{"date-parts":[[2021]]}}}