{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T21:51:17Z","timestamp":1780523477508,"version":"3.54.1"},"reference-count":36,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2015,4,21]],"date-time":"2015-04-21T00:00:00Z","timestamp":1429574400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Intell. Syst. Technol."],"published-print":{"date-parts":[[2015,5,20]]},"abstract":"<jats:p>There has been much effort on studying how social media sites, such as Twitter, help propagate information in different situations, including spreading alerts and SOS messages in an emergency. However, existing work has not addressed how to actively identify and engage the right strangers at the right time on social media to help effectively propagate intended information within a desired time frame. To address this problem, we have developed three models: (1) a feature-based model that leverages people's exhibited social behavior, including the content of their tweets and social interactions, to characterize their willingness and readiness to propagate information on Twitter via the act of retweeting; (2) a wait-time model based on a user's previous retweeting wait times to predict his or her next retweeting time when asked; and (3) a subset selection model that automatically selects a subset of people from a set of available people using probabilities predicted by the feature-based model and maximizes retweeting rate. Based on these three models, we build a recommender system that predicts the likelihood of a stranger to retweet information when asked, within a specific time window, and recommends the top-N qualified strangers to engage with. Our experiments, including live studies in the real world, demonstrate the effectiveness of our work.<\/jats:p>","DOI":"10.1145\/2700466","type":"journal-article","created":{"date-parts":[[2015,4,22]],"date-time":"2015-04-22T13:57:35Z","timestamp":1429711055000},"page":"1-25","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":29,"title":["Who Will Retweet This? Detecting Strangers from Twitter to Retweet Information"],"prefix":"10.1145","volume":"6","author":[{"given":"Kyumin","family":"Lee","sequence":"first","affiliation":[{"name":"Utah State University, UT"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jalal","family":"Mahmud","sequence":"additional","affiliation":[{"name":"IBM Research -- Almaden, San Jose, CA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jilin","family":"Chen","sequence":"additional","affiliation":[{"name":"Google, CA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michelle","family":"Zhou","sequence":"additional","affiliation":[{"name":"Utah State University, San Jose, CA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeffrey","family":"Nichols","sequence":"additional","affiliation":[{"name":"Google, CA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2015,4,21]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1341531.1341559"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1935826.1935845"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2187836.2187907"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/HICSS.2010.412"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1963405.1963499"},{"key":"e_1_2_1_6_1","volume-title":"Gummadi","author":"Cha Meeyoung","year":"2010","unstructured":"Meeyoung Cha , Hamed Haddadi , Fabricio Benevenuto , and Krishna P . Gummadi . 2010 . Measuring user influence in twitter: The million follower fallacy. In ICWSM. Meeyoung Cha, Hamed Haddadi, Fabricio Benevenuto, and Krishna P. Gummadi. 2010. Measuring user influence in twitter: The million follower fallacy. In ICWSM."},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2187836.2187908"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/1622407.1622416"},{"key":"e_1_2_1_9_1","unstructured":"Jilin Chen Allen Cypher Clemens Drews and Jeffrey Nichols. 2013. CrowdE: Filtering tweets for direct customer engagements. In ICWSM.  Jilin Chen Allen Cypher Clemens Drews and Jeffrey Nichols. 2013. CrowdE: Filtering tweets for direct customer engagements. In ICWSM."},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2348283.2348372"},{"key":"e_1_2_1_11_1","volume-title":"McCrae","author":"Costa Paul T.","year":"1992","unstructured":"Paul T. Costa and Robert R . McCrae . 1992 . Revised NEO Personality Inventory (NEO PI-R) and NEP Five-factor Inventory (NEO-FFI): Professional Manual . Psychological Assessment Resources . Paul T. Costa and Robert R. McCrae. 1992. Revised NEO Personality Inventory (NEO PI-R) and NEP Five-factor Inventory (NEO-FFI): Professional Manual. Psychological Assessment Resources."},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1037\/0022-3514.94.2.334"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.10.010"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2433396.2433470"},{"key":"e_1_2_1_15_1","volume-title":"What are they blogging about&quest","author":"Gill Alastair J.","unstructured":"Alastair J. Gill , Scott Nowson , and Jon Oberlander . 2009. What are they blogging about&quest ; Personality, topic and motivation in blogs. In ICWSM. Alastair J. Gill, Scott Nowson, and Jon Oberlander. 2009. What are they blogging about&quest; Personality, topic and motivation in blogs. In ICWSM."},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1718487.1718518"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656278"},{"key":"e_1_2_1_18_1","unstructured":"Tuan-Anh Hoang and Ee-Peng Lim. 2012. Virality and susceptibility in information diffusions. In ICWSM.  Tuan-Anh Hoang and Ee-Peng Lim. 2012. Virality and susceptibility in information diffusions. In ICWSM."},{"key":"e_1_2_1_19_1","volume-title":"Hodas and Kristina Lerman","author":"Nathan","year":"2014","unstructured":"Nathan O. Hodas and Kristina Lerman . 2014 . The simple rules of social contagion. Sci. Rep . 4 (2014). http:\/\/www.nature.com\/srep\/2014\/140311\/srep04343\/full\/srep04343.html. Nathan O. Hodas and Kristina Lerman. 2014. The simple rules of social contagion. Sci. Rep. 4 (2014). http:\/\/www.nature.com\/srep\/2014\/140311\/srep04343\/full\/srep04343.html."},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2124295.2124365"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835522"},{"key":"e_1_2_1_22_1","volume-title":"Brian David Eoff, and James Caverlee","author":"Lee Kyumin","year":"2011","unstructured":"Kyumin Lee , Brian David Eoff, and James Caverlee . 2011 . Seven months with the devils: A long-term study of content polluters on Twitter. In ICWSM. Kyumin Lee, Brian David Eoff, and James Caverlee. 2011. Seven months with the devils: A long-term study of content polluters on Twitter. In ICWSM."},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2557500.2557502"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2006.158"},{"key":"e_1_2_1_25_1","volume-title":"Macskassy and Matthew Michelson","author":"Sofus","year":"2011","unstructured":"Sofus A. Macskassy and Matthew Michelson . 2011 . Why do people retweet&quest; Anti-homophily wins the day&excl; In ICWSM. Sofus A. Macskassy and Matthew Michelson. 2011. Why do people retweet&quest; Anti-homophily wins the day&excl; In ICWSM."},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2449396.2449403"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2145204.2145352"},{"key":"e_1_2_1_28_1","volume-title":"Booth","author":"Pennebaker James W.","year":"2001","unstructured":"James W. Pennebaker , Martha E. Francis , and Roger J . Booth . 2001 . Linguistic Inquiry and Word Count. Lawrence Erlbaum Associates . James W. Pennebaker, Martha E. Francis, and Roger J. Booth. 2001. Linguistic Inquiry and Word Count. Lawrence Erlbaum Associates."},{"key":"e_1_2_1_29_1","volume-title":"Huberman","author":"Romero Daniel M.","year":"2011","unstructured":"Daniel M. Romero , Wojciech Galuba , Sitaram Asur , and Bernardo A . Huberman . 2011 . Influence and passivity in social media. In ECML &sol;PKDD. Daniel M. Romero, Wojciech Galuba, Sitaram Asur, and Bernardo A. Huberman. 2011. Influence and passivity in social media. In ECML&sol;PKDD."},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2124295.2124381"},{"key":"e_1_2_1_32_1","volume-title":"Pass It On&quest","author":"Starbird Kate","unstructured":"Kate Starbird and Leysia Palen . 2010. Pass It On&quest ; Retweeting in Mass Emergency. International Community on Information Systems for Crisis Response and Management . Kate Starbird and Leysia Palen. 2010. Pass It On&quest; Retweeting in Mass Emergency. International Community on Information Systems for Crisis Response and Management."},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2187836.2187906"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/1718487.1718520"},{"key":"e_1_2_1_35_1","volume-title":"Pedersen","author":"Yang Yiming","year":"1997","unstructured":"Yiming Yang and Jan O . Pedersen . 1997 . A comparative study on feature selection in text categorization. In ICML. Yiming Yang and Jan O. Pedersen. 1997. A comparative study on feature selection in text categorization. In ICML."},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jrp.2010.04.001"}],"container-title":["ACM Transactions on Intelligent Systems and Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2700466","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2700466","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:07:44Z","timestamp":1750223264000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2700466"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,4,21]]},"references-count":36,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2015,5,20]]}},"alternative-id":["10.1145\/2700466"],"URL":"https:\/\/doi.org\/10.1145\/2700466","relation":{},"ISSN":["2157-6904","2157-6912"],"issn-type":[{"value":"2157-6904","type":"print"},{"value":"2157-6912","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,4,21]]},"assertion":[{"value":"2014-03-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2014-09-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2015-04-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}