{"id":66,"date":"2022-07-28T09:32:57","date_gmt":"2022-07-28T09:32:57","guid":{"rendered":"https:\/\/metric.qcri.org\/blog\/?p=66"},"modified":"2022-07-28T09:32:58","modified_gmt":"2022-07-28T09:32:58","slug":"generating-cultural-personas-from-social-data-a-perspective-of-middle-eastern-users","status":"publish","type":"post","link":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/generating-cultural-personas-from-social-data-a-perspective-of-middle-eastern-users\/","title":{"rendered":"Generating Cultural Personas From Social Data: A Perspective of Middle Eastern Users"},"content":{"rendered":"\n<p>We conduct a mixed-method study to better understand the content consumption patterns of Middle Eastern social media users and to explore new ways to present online data by using automatic persona generation.<\/p>\n\n\n\n<p>First, we analyze millions of content interactions on YouTube to dynamically generate personas describing behavioral patterns of different demographic groups.<\/p>\n\n\n\n<p>Second, we analyze interview data on social media users in the Middle Eastern region to generate additional insights into the dynamically generated personas.<\/p>\n\n\n\n<p>Our findings provide insights into social media users in the Middle East, as well as present a novel methodology of using computational analysis and qualitative data enrichment to generate descriptive and culturally receptive personas from social media audiences.<\/p>\n\n\n\n<p>Salminen, J.O., \u015eeng\u00fcn, S., Kwak, H.,\u00a0Jansen, B. J., An, J., Jung, S.G., Vieweg, S., and Harrell, F. (2017)\u00a0<a rel=\"noreferrer noopener\" href=\"http:\/\/www.bernardjjansen.com\/uploads\/2\/4\/1\/8\/24188166\/jansen_mena_personas2017.pdf\" target=\"_blank\">Generating Cultural Personas From Social Data: A Perspective of Middle Eastern Users<\/a>. The Fourth International Symposium on Social Networks Analysis, Management and Security (SNAMS-2017). Prague,\u00a0Czech Republic, p. 120-125. 21-23 Aug.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We conduct a mixed-method study to better understand the content consumption patterns of Middle Eastern social media users and to explore new ways to present online data by using automatic persona generation. First, we analyze millions of content interactions on YouTube to dynamically generate personas describing behavioral patterns of different demographic groups. Second, we analyze &#8230; <a title=\"Generating Cultural Personas From Social Data: A Perspective of Middle Eastern Users\" class=\"read-more\" href=\"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/generating-cultural-personas-from-social-data-a-perspective-of-middle-eastern-users\/\" aria-label=\"More on Generating Cultural Personas From Social Data: A Perspective of Middle Eastern Users\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-66","post","type-post","status-publish","format-standard","hentry","category-user-study"],"jetpack_featured_media_url":"","jetpack-related-posts":[{"id":64,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/who-are-your-users-comparing-media-professionals-preconception-of-users-to-data-driven-personas\/","url_meta":{"origin":66,"position":0},"title":"Who are your users?: comparing media professionals&#8217; preconception of users to data-driven personas","date":"July 28, 2022","format":false,"excerpt":"One of the reasons for using personas is to align user understandings across project teams and sites. As part of a larger persona study, we conducted 16 qualitative interviews with media producers, the end users of persona descriptions. We asked the participants about their understanding of a typical AJE media\u2026","rel":"","context":"In &quot;user study&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":282,"url":"https:\/\/metric.qcri.org\/blog\/2024\/07\/04\/actionable-data-creating-personas-from-metric-data-analytics\/","url_meta":{"origin":66,"position":1},"title":"Actionable Data: Creating Personas from METRIC Data Analytics","date":"July 4, 2024","format":false,"excerpt":"Personas represent important segments\u00a0of a target audience or user base, making them indispensable tools in marketing, user experience (UX) design, product development, and education. Personas in marketing help create content and campaigns specifically tailored to various client bases' demands, preferences, and behaviors. They aid in making assessments about the user\u2026","rel":"","context":"In &quot;analytics&quot;","img":{"alt_text":"Personas are essential tools in fields such as marketing, user experience (UX) design, product development, and education, serving to represent key segments of a target audience or user base","src":"https:\/\/i0.wp.com\/metric.qcri.org\/blog\/wp-content\/uploads\/2024\/07\/Personas.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":62,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/fixation-and-confusion-investigating-eye-tracking-participants-exposure-to-information-in-personas\/","url_meta":{"origin":66,"position":2},"title":"Fixation and Confusion \u2013 Investigating Eye-tracking Participants\u2019 Exposure to Information in Personas","date":"July 28, 2022","format":false,"excerpt":"To more effectively convey relevant information to end users of persona profiles, we conducted a user study consisting of 29 participants engaging with three persona layout treatments. We were interested in confusion engendered by the treatments on the participants, and conducted a within-subjects study in the actual work environment, using\u2026","rel":"","context":"In &quot;user study&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":36,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/comparing-persona-analytics-and-social-media-analytics-for-a-user-centric-task-using-eye-tracking-and-think-aloud\/","url_meta":{"origin":66,"position":3},"title":"Comparing Persona Analytics and Social Media Analytics for a User-Centric Task Using Eye-Tracking and Think-Aloud","date":"July 28, 2022","format":false,"excerpt":"We compare a data-driven persona system and an analytics system for efficiency and effectiveness for a user identification task. Findings from the 34-participant experiment show that the data-driven persona system affords faster task completion, is easier for users to engage with, and provides better user identification accuracy. Eye-tracking data indicates\u2026","rel":"","context":"In &quot;user study&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":112,"url":"https:\/\/metric.qcri.org\/blog\/2023\/06\/21\/why-are-user-feedback-and-user-testing-important\/","url_meta":{"origin":66,"position":4},"title":"Why are User feedback and User testing important?","date":"June 21, 2023","format":false,"excerpt":"User feedback and user testing play a significant role in developing and improving digital products such as websites and mobile applications as it helps businesses understand their users. Understanding people, their characteristics, capabilities, commonalities, and differences allows designers to create more effective, safer, efficient, and enjoyable systems [2]. Here are\u2026","rel":"","context":"In \"engagement\"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/metric.qcri.org\/blog\/wp-content\/uploads\/2023\/06\/image-3.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":18,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/the-ability-of-personas-an-empirical-evaluation-of-altering-incorrect-preconceptions-about-users\/","url_meta":{"origin":66,"position":5},"title":"The Ability of Personas: An Empirical Evaluation of Altering Incorrect Preconceptions About Users","date":"July 28, 2022","format":false,"excerpt":"False preconceptions about users can result in poor design, product development, and marketing decisions, so rectifying these preconceptions is essential for organizations. This research quantitatively evaluates the ability of data-driven personas to alter decision makers\u2019 preconceptions about their online social media users. We conduct a within-participant experiment of 31 professionals\u2026","rel":"","context":"In &quot;user study&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts\/66","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/comments?post=66"}],"version-history":[{"count":1,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts\/66\/revisions"}],"predecessor-version":[{"id":67,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts\/66\/revisions\/67"}],"wp:attachment":[{"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/media?parent=66"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/categories?post=66"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/tags?post=66"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}