{"id":327,"date":"2022-06-11T14:07:09","date_gmt":"2022-06-11T11:07:09","guid":{"rendered":"https:\/\/quecst.qcri.org\/blog\/?p=327"},"modified":"2022-06-11T14:07:09","modified_gmt":"2022-06-11T11:07:09","slug":"what-really-matters-characterizing-and-predicting-user-engagement-of-news-postings-using-multiple-platforms-sentiments-and-topics","status":"publish","type":"post","link":"https:\/\/acua.qcri.org\/blog\/what-really-matters-characterizing-and-predicting-user-engagement-of-news-postings-using-multiple-platforms-sentiments-and-topics\/","title":{"rendered":"What Really Matters?: Characterizing and Predicting User Engagement of News Postings Using Multiple Platforms, Sentiments, and Topics"},"content":{"rendered":"<figure id=\"attachment_329\" aria-describedby=\"caption-attachment-329\" style=\"width: 300px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-329\" src=\"https:\/\/quecst.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/stock66-300x200.jpg\" alt=\" What Really Matters?: Characterizing and Predicting User Engagement of News Postings Using Multiple Platforms, Sentiments, and Topics\" width=\"300\" height=\"200\" srcset=\"https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/stock66-300x200.jpg 300w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/stock66.jpg 700w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><figcaption id=\"caption-attachment-329\" class=\"wp-caption-text\"><em><a href=\"http:\/\/www.bernardjjansen.com\/uploads\/2\/4\/1\/8\/24188166\/what_really_matters.pdf\" target=\"_blank\" rel=\"noopener\">What Really Matters?: Characterizing and Predicting User Engagement of News Postings Using Multiple Platforms, Sentiments, and Topics<\/a><\/em><\/figcaption><\/figure>\n<p>This research characterizes user engagement of approximately 3,000,000 news postings of 53 news outlets and 50,000,000 associated user comments during 8 months on 5 social media platforms (i.e. Facebook, Instagram, Twitter, YouTube, and Reddit).<\/p>\n<p>We investigate the effect of sentiments and topics on user engagement across four levels of user engagement expressions (i.e. views, likes, comments, cross-platform posting). We find that sentiments and topics differ by both news outlets and social media platforms, and both sentiments and topics by the four levels of user engagement expression.<\/p>\n<p>Finally, we predict a volume of four user engagement levels for given news content, with an 83% maximum average F1-score for the external posting of news articles from one platform to another using language and metadata features.<\/p>\n<p>Implications are that news outlets can benefit by developing a platform, sentiment and topic, and strategies to best achieve user engagement objectives.<\/p>\n<p>Aldous, K, An, J, and\u00a0Jansen, B. J.\u00a0(2022)\u00a0<em><a href=\"http:\/\/www.bernardjjansen.com\/uploads\/2\/4\/1\/8\/24188166\/what_really_matters.pdf\" target=\"_blank\" rel=\"noopener\">What Really Matters?: Characterizing and Predicting User Engagement of News Postings Using Multiple Platforms, Sentiments, and Topics<\/a><\/em>.\u00a0<u>Behaviour &amp; Information Technology<\/u>.\u00a0<a href=\"https:\/\/doi.org\/10.1080\/0144929X.2022.2030798\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1080\/0144929X.2022.2030798\u200b\u00a0<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This research characterizes user engagement of approximately 3,000,000 news postings of 53 news outlets and 50,000,000 associated user comments during 8 months on 5 social media platforms (i.e. Facebook, Instagram, Twitter, YouTube, and Reddit). We investigate the effect of sentiments and topics on user engagement across four levels of user engagement expressions (i.e. views, likes,&hellip; <a class=\"more-link\" href=\"https:\/\/acua.qcri.org\/blog\/what-really-matters-characterizing-and-predicting-user-engagement-of-news-postings-using-multiple-platforms-sentiments-and-topics\/\">Continue reading <span class=\"screen-reader-text\">What Really Matters?: Characterizing and Predicting User Engagement of News Postings Using Multiple Platforms, Sentiments, and Topics<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.13 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What Really Matters?: Characterizing and Predicting User Engagement of News Postings Using Multiple Platforms, Sentiments, and Topics - Team Acua<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/acua.qcri.org\/blog\/what-really-matters-characterizing-and-predicting-user-engagement-of-news-postings-using-multiple-platforms-sentiments-and-topics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What Really Matters?: Characterizing and Predicting User Engagement of News Postings Using Multiple Platforms, Sentiments, and Topics - Team Acua\" \/>\n<meta property=\"og:description\" content=\"This research characterizes user engagement of approximately 3,000,000 news postings of 53 news outlets and 50,000,000 associated user comments during 8 months on 5 social media platforms (i.e. Facebook, Instagram, Twitter, YouTube, and Reddit). 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