{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T05:53:55Z","timestamp":1769147635215,"version":"3.49.0"},"reference-count":25,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T00:00:00Z","timestamp":1508803200000},"content-version":"vor","delay-in-days":296,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["asistdl.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Proc. Assoc. Info. Sci. Tech."],"published-print":{"date-parts":[[2017,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:p>The identification of meaningful audience segments, such as groups of users, consumers, readers, audience, etc., has important applicability in a variety of domains, including for content publishing. In this research, we seek to develop a technique for determining both information dissemination and information discrimination of online content in order to isolate audience segments. The benefits of the technique include identification of the most impactful content for analysis. With 4,320 online videos from a major news organization, a set of audience attributes, and more than 58 million interactions from hundreds of thousands of users, we isolate the key pieces of content in terms of identifying audience segments that are both (a) least and most discriminating in terms of audience segments and (b) the least and most impactful. By empirical methods, we show that 25.3 percent of the videos are so widely disseminated (i.e., viewed by so many different segments) that they are non\u2010discriminatory, while 29.7 percent of the videos are very discriminatory (i.e., can clearly identify one or more audience segments) but their impact is marginal, as the user base is small. Implications are that there are critical values that can be identified to isolate the set of both distinct and impactful content in a given data set of online content. We demonstrate the utility of this line of analysis by using the approach to identify critical cut\u2010off values for dynamic persona generation.<\/jats:p>","DOI":"10.1002\/pra2.2017.14505401021","type":"journal-article","created":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T03:35:36Z","timestamp":1508816136000},"page":"189-196","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Viewed by too many or viewed too little: Using information dissemination for audience segmentation"],"prefix":"10.1002","volume":"54","author":[{"given":"Bernard J.","family":"Jansen","sequence":"first","affiliation":[{"name":"Qatar Computing Research Institute Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Soon\u2010Gyo","family":"Jung","sequence":"additional","affiliation":[{"name":"Qatar Computing Research Institute Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joni","family":"Salminen","sequence":"additional","affiliation":[{"name":"Qatar Computing Research Institute Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jisun","family":"An","sequence":"additional","affiliation":[{"name":"Qatar Computing Research Institute Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haewoon","family":"Kwak","sequence":"additional","affiliation":[{"name":"Qatar Computing Research Institute Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2017,10,24]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2017.01.002"},{"key":"e_1_2_12_3_1","doi-asserted-by":"crossref","unstructured":"An J. Cho H. Y. Kwak H. Hassen M. Z. &Jansen B. J.(2016 29 November\u20102 December).Towards Automatic Persona Generation Using SocialMedia. Paper presented at the The Third International Symposium on SocialNetworks Analysis Management and Security (SNAMS2016) The 4th International Conference on Future Internet of Things and Cloud Vienna Austria.","DOI":"10.1109\/W-FiCloud.2016.51"},{"key":"e_1_2_12_4_1","doi-asserted-by":"crossref","unstructured":"An J. Jwak H. &Jansen B. J.(2017 31 July\u20103 August).Personas for Content Creators via Decomposed Aggregate Audience Statistics. Paper presented at the Advances in Social Network Analysis and Mining (ASONAM 2017) Sydney Australia.","DOI":"10.1145\/3110025.3110072"},{"key":"e_1_2_12_5_1","unstructured":"An J. Kwak H. &Jansen B. J.(2017 4\u20107 January).Automatic Generation of Personas Using YouTube Social Media Data. Paper presented at the Proceedings of the 50th International Conference on System Sciences (HICSS\u201050) Waikoloa Hawaii."},{"key":"e_1_2_12_6_1","doi-asserted-by":"crossref","unstructured":"Cha M. Kwak H. Rodriguez P. Ahn Y. Y. &Moon S.(2007).I tube you tube everybody tubes: Analyzing the world's largest user generated content video system. Paper presented at the Proceedings of the 7th ACM SIGCOMM Conference on Internet Measurement Chicago IL.","DOI":"10.1145\/1298306.1298309"},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/asi.23725"},{"key":"e_1_2_12_8_1","doi-asserted-by":"crossref","unstructured":"Dharwada P. Greenstein J. S. Gramopadhye A. K. &Davis S. J.(2007 1\u20105 October).A Case Study on Use of Personas in Design and Development of an Audit Management System. Paper presented at the Human Factors and Ergonomics Society Annual Meeting Proceedings Baltimore Maryland.","DOI":"10.1177\/154193120705100509"},{"key":"e_1_2_12_9_1","doi-asserted-by":"crossref","unstructured":"Eriksson E. Artman H. &Swartling A.(2013).The Secret Life of a Persona: When the Personal Becomes Private. Paper presented at the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI2013) Paris France.","DOI":"10.1145\/2470654.2481370"},{"key":"e_1_2_12_10_1","doi-asserted-by":"crossref","unstructured":"Friess E.(2012).Personas and Decision Making in the Design Process: An Ethnographic Case Study. Paper presented at the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI2012) Austin Texas USA.","DOI":"10.1145\/2207676.2208572"},{"key":"e_1_2_12_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/asi.21641"},{"key":"e_1_2_12_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2017.04.001"},{"key":"e_1_2_12_13_1","doi-asserted-by":"crossref","unstructured":"Judge T. Matthews T. &Whittaker S.(2012).Comparing Collaboration and Individual Personas for the Design and Evaluation of Collaboration Software. Paper presented at the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI2012) Austin Texas USA.","DOI":"10.1145\/2207676.2208344"},{"key":"e_1_2_12_14_1","doi-asserted-by":"crossref","unstructured":"Jung S. An J. Kwak H. Ahmad M. Nielsen L. &Jansen B. J.(2017 6\u201011 May).Persona Generation from Aggregated Social Media Data. Paper presented at the ACM Conference on Human Factors in Computing Systems 2017 Extended Abstracts (CHI2017) Denver CO USA.","DOI":"10.1145\/3027063.3053120"},{"key":"e_1_2_12_15_1","doi-asserted-by":"publisher","DOI":"10.1038\/44565"},{"key":"e_1_2_12_16_1","volume-title":"Mastering audience segmentation: How to apply segmentation techniques to improve internal communication","author":"Mellor V.","year":"2006"},{"key":"e_1_2_12_17_1","doi-asserted-by":"crossref","unstructured":"Nielsen L. &Hansen K. S.(2014).Personas is Applicable: A Study on the Use of Personas in Denmark. Paper presented at the Proceedings of the 32nd Annual ACM conference on Human factors in Computing Systems (CHI2014) Toronto Ontario Canada.","DOI":"10.1145\/2556288.2557080"},{"key":"e_1_2_12_18_1","doi-asserted-by":"publisher","DOI":"10.1002\/asi.22640"},{"key":"e_1_2_12_19_1","doi-asserted-by":"publisher","DOI":"10.1086\/208642"},{"key":"e_1_2_12_20_1","doi-asserted-by":"crossref","unstructured":"Salminen J. Seng\u00fcn S. Kwak H. Jansen B. J. An J. Jung S.\u2010G. \u2026Harrell F.(2017 21\u201023 Aug.).Generating Cultural Personas From Social Data: A Perspective of Middle Eastern Users. Paper presented at the The Fourth International Symposium on Social Networks Analysis Management and Security (SNAMS\u20102017). Prague Czech Republic.","DOI":"10.1109\/FiCloudW.2017.97"},{"key":"e_1_2_12_21_1","doi-asserted-by":"publisher","DOI":"10.1177\/002224295602100102"},{"key":"e_1_2_12_22_1","doi-asserted-by":"crossref","unstructured":"Song X. Lin C.\u2010Y. Tseng B. L. &Sun M.\u2010T.(2005).Modeling and predicting personal information dissemination behavior. Paper presented at the Proceedings of the eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining (KDD'05) New York NY.","DOI":"10.1145\/1081870.1081925"},{"key":"e_1_2_12_23_1","doi-asserted-by":"publisher","DOI":"10.1080\/00913367.1994.10673438"},{"key":"e_1_2_12_24_1","doi-asserted-by":"publisher","DOI":"10.1002\/asi.23287"},{"key":"e_1_2_12_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2017.02.003"},{"key":"e_1_2_12_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2017.04.009"}],"container-title":["Proceedings of the Association for Information Science and Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fpra2.2017.14505401021","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/pra2.2017.14505401021","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/pra2.2017.14505401021","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/asistdl.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/pra2.2017.14505401021","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T16:26:05Z","timestamp":1761063965000},"score":1,"resource":{"primary":{"URL":"https:\/\/asistdl.onlinelibrary.wiley.com\/doi\/10.1002\/pra2.2017.14505401021"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1]]},"references-count":25,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,1]]}},"alternative-id":["10.1002\/pra2.2017.14505401021"],"URL":"https:\/\/doi.org\/10.1002\/pra2.2017.14505401021","archive":["Portico"],"relation":{},"ISSN":["2373-9231","2373-9231"],"issn-type":[{"value":"2373-9231","type":"print"},{"value":"2373-9231","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1]]},"assertion":[{"value":"2017-10-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}