{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T13:27:41Z","timestamp":1778938061444,"version":"3.51.4"},"reference-count":39,"publisher":"Emerald","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,12,7]]},"abstract":"<jats:p>Traditional news media face many serious concerns as their distribution channels are gradually being taken over by third parties (e.g., bloggers, citizen journalists, and news aggregators). If traditional media is to remain competitive, it needs to develop innovative strategies around these channels, to maximize audience engagement with the news it provides. In this paper, we focus on the issue of developing one such strategy for spreading news on Twitter. Using tweet corpora from two national news ecosystems - 1.7M tweets from 200 journalists in Ireland and 1.2M tweets from 364 journalists in the UK - and audience responses to these tweets, we develop predictive models to identify the features of journalists and news tweets that impact audience attention. These analyses reveal that different combinations of features influence audience engagement differentially from one news category to the next (e.g., sport versus business). Using these findings, we suggest a set of guidelines for journalists, designed to help them maximize engagement with the news they tweet. Finally, we discuss how such analyses can inform innovative dissemination strategies in digital media.<\/jats:p>","DOI":"10.1561\/106.00000009","type":"journal-article","created":{"date-parts":[[2017,12,7]],"date-time":"2017-12-07T06:14:31Z","timestamp":1512627271000},"page":"16-31","source":"Crossref","is-referenced-by-count":5,"title":["Spreading One\u2019s Tweets: How Can Journalists Gain Attention for\n                    their Tweeted News?"],"prefix":"10.1561","volume":"3","author":[{"given":"Claudia","family":"Orellana-Rodriguez","sequence":"first","affiliation":[{"name":"Insight Centre for Data Analytics, School of Computer Science, University College Dublin ,","place":["Ireland"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Derek","family":"Greene","sequence":"additional","affiliation":[{"name":"Insight Centre for Data Analytics, School of Computer Science, University College Dublin ,","place":["Ireland"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark T.","family":"Keane","sequence":"additional","affiliation":[{"name":"Insight Centre for Data Analytics, School of Computer Science, University College Dublin ,","place":["Ireland"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2017,12,7]]},"reference":[{"key":"2026040606322323500_ref001","unstructured":"Asur,\n                            S.,\n                                B. 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The Palgrave Macmillan Series in\n                        International Political Communication.","author":"Hudson"},{"key":"2026040606322323500_ref014","volume-title":"Proceedings of the 35th International ACM SIGIR Conference on\n                        Research and Development in Information Retrieval. SIGIR\n                        \u201912.","author":"Kong"},{"key":"2026040606322323500_ref015","unstructured":"1129\u20131130\n          . ISBN:\n                        978-1-4503-1472-5. 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Normalizing\n                        Twitter. URL: http:\/\/dx.doi.org\/10.1080\/1461670X.2011.571825.","DOI":"10.1080\/1461670X.2011.571825"},{"key":"2026040606322323500_ref018","doi-asserted-by":"crossref","unstructured":"Lee,\n                            J.\n          \n                        \u201cThe Double-Edged Sword: The Effects of\n                        Journalists\u2019 Social Media Activities on Audience Perceptions of\n                        Journalists and Their News Products.\u201d J.\n                        Computer-Mediated Communication.20(3):\n                        312\u2013329. URL:\n                        http:\/\/dblp.uni-trier.de\/db\/journals\/jcmc\/jcmc20.html#Lee15.","DOI":"10.1111\/jcc4.12113"},{"key":"2026040606322323500_ref019","doi-asserted-by":"crossref","unstructured":"Lee,\n                            K.,\n                                J.Mahmud,\n                                J.Chen, M.\n                                X.Zhou, and\n                                J.Nichols.\n                        \u201cWho Will Retweet This? Detecting Strangers from\n                        Twitter to Retweet Information\u201d. ACM\n                        TIST.6(3): 31. DOI:\n                        10.1145\/2700466. 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M.Benito.\n                        \u201cEfficiency of human activity on information spreading\n                        on Twitter\u201d. Social Networks.39: 1\u201311. DOI:\n                        10.1016\/j.socnet.2014.03.007. URL: http:\/\/dx.doi.org\/10.1016\/j.socnet.2014.03.007.","DOI":"10.1016\/j.socnet.2014.03.007"},{"key":"2026040606322323500_ref024","doi-asserted-by":"crossref","unstructured":"Olteanu,\n                                A.,\n                                C.Castillo,\n                                N.Diakopoulos, and\n                                K.Aberer.\n                        \u201cComparing Events Coverage in Online News and Social\n                        Media: The Case of Climate Change\u201d.\n                        In: Proceedings of the Ninth International\n                        Conference on Web and Social Media, ICWSM 2015.AAAI Press.\n                        288\u2013297. 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Large Scale Analytics on\n                        Factors Impacting Retweet in Twitter Network\u201d.\n                        In: Proceedings of the 2010 IEEE Second\n                        International Conference on Social Computing. SOCIALCOM \u201910.Washington, DC, USA: IEEE\n                        Computer Society.\n                        177\u2013184. ISBN:\n                        978-0-76954211-9. DOI: 10.1109\/SocialCom.2010.33. URL: http:\/\/dx.doi.org\/10.1109\/SocialCom.2010.33.","DOI":"10.1109\/SocialCom.2010.33"},{"key":"2026040606322323500_ref037","volume-title":"Financial Times.","author":"Waters"},{"key":"2026040606322323500_ref038","doi-asserted-by":"crossref","volume-title":"Linear\n                        Regression Analysis: Theory and Computing.","author":"Yan","DOI":"10.1142\/6986"},{"key":"2026040606322323500_ref039","doi-asserted-by":"crossref","unstructured":"Zhao,\n                            Q.,\n                                M. A.Erdogdu, H.\n                                Y.He,\n                                A.Rajaraman, and\n                                J.Leskovec.\n                        \u201cSEISMIC: A Self-Exciting Point Process Model for\n                        Predicting Tweet Popularity\u201d. In:\n                        Proceedings of the 21th ACM SIGKDD In-ternational Conference on\n                        Knowledge Discovery and Data Mining. KDD \u201915.Sydney, NSW, Australia:\n                        ACM.\n                        1513\u20131522. ISBN:\n                        978-1-4503-3664-2. DOI: 10.1145\/2783258.2783401. URL: http:\/\/doi.acm.org\/10.1145\/2783258.2783401.","DOI":"10.1145\/2783258.2783401"}],"container-title":["The Journal of Web Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/jws\/article-pdf\/3\/1\/16\/11491301\/106.00000009en.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/www.emerald.com\/jws\/article-pdf\/3\/1\/16\/11491301\/106.00000009en.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T14:32:08Z","timestamp":1777473128000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.emerald.com\/jws\/article\/3\/1\/16\/1331650\/Spreading-One-s-Tweets-How-Can-Journalists-Gain"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12,7]]},"references-count":39,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,12,7]]}},"URL":"https:\/\/doi.org\/10.1561\/106.00000009","relation":{},"ISSN":["2332-4031"],"issn-type":[{"value":"2332-4031","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,12,7]]}}}