{"id":324,"date":"2022-06-11T14:03:02","date_gmt":"2022-06-11T11:03:02","guid":{"rendered":"https:\/\/quecst.qcri.org\/blog\/?p=324"},"modified":"2022-06-11T14:03:02","modified_gmt":"2022-06-11T11:03:02","slug":"measuring-9-emotions-of-news-posts-from-8-news-organizations-across-4-social-media-platforms-for-8-months","status":"publish","type":"post","link":"https:\/\/acua.qcri.org\/blog\/measuring-9-emotions-of-news-posts-from-8-news-organizations-across-4-social-media-platforms-for-8-months\/","title":{"rendered":"Measuring 9 emotions of news posts from 8 news organizations across 4 social media platforms for 8 months"},"content":{"rendered":"<figure id=\"attachment_325\" aria-describedby=\"caption-attachment-325\" style=\"width: 578px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-325\" src=\"https:\/\/quecst.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/emotions-2.jpg\" alt=\"Measuring 9 emotions of news posts from 8 news organizations across 4 social media platforms for 8 months\" width=\"578\" height=\"133\" srcset=\"https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/emotions-2.jpg 578w, https:\/\/acua.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/emotions-2-300x69.jpg 300w\" sizes=\"(max-width: 578px) 100vw, 578px\" \/><figcaption id=\"caption-attachment-325\" class=\"wp-caption-text\"><em><a href=\"http:\/\/www.bernardjjansen.com\/uploads\/2\/4\/1\/8\/24188166\/3516491.pdf\" target=\"_blank\" rel=\"noopener\">Measuring 9 emotions of news posts from 8 news organizations across 4 social media platforms for 8 months<\/a><\/em><\/figcaption><\/figure>\n<p>Using Plutchik\u2019s wheel of emotions framework, we identify the emotional content of 133,487 social media posts and the audience\u2019s emotional engagement expressed in 2,824,162 comments on those posts. We measure nine emotions (anger, anticipation, anxiety, disgust, joy, fear, sadness, surprise, trust) and two sentiments (positive and negative) using two extraction resources (EmoLex, LIWC) for eight major news outlets across four social media platforms (Facebook, Instagram, Twitter, and YouTube) during eight months.<\/p>\n<p>We then apply two approaches (Logistic Regression, Long Short-Term Memory) to predict emotional audience reactions before and after publishing the posts.<\/p>\n<p>Findings show significant differences for positive emotions but not for negative in the comments among the platforms. F1-scores for predicting emotional audience engagement are more than 70% for some emotions for some news outlets. Implications are that news outlets have leverage in steering emotional engagement for posts on social media platforms.<\/p>\n<p>The findings have theoretical and practical implications for understanding the complex emotional and informational interplay among social media content, platforms, and audiences.<\/p>\n<p>Aldous, K, An, J, and\u00a0Jansen, B. J.(2022)\u00a0<em><a href=\"http:\/\/www.bernardjjansen.com\/uploads\/2\/4\/1\/8\/24188166\/3516491.pdf\" target=\"_blank\" rel=\"noopener\">Measuring 9 emotions of news posts from 8 news organizations across 4 social media platforms for 8 months<\/a><\/em>.\u00a0<u>ACM Transactions on Social Computing<\/u>.\u00a0\u00a04(4), Article 15.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Using Plutchik\u2019s wheel of emotions framework, we identify the emotional content of 133,487 social media posts and the audience\u2019s emotional engagement expressed in 2,824,162 comments on those posts. We measure nine emotions (anger, anticipation, anxiety, disgust, joy, fear, sadness, surprise, trust) and two sentiments (positive and negative) using two extraction resources (EmoLex, LIWC) for eight&hellip; <a class=\"more-link\" href=\"https:\/\/acua.qcri.org\/blog\/measuring-9-emotions-of-news-posts-from-8-news-organizations-across-4-social-media-platforms-for-8-months\/\">Continue reading <span class=\"screen-reader-text\">Measuring 9 emotions of news posts from 8 news organizations across 4 social media platforms for 8 months<\/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>Measuring 9 emotions of news posts from 8 news organizations across 4 social media platforms for 8 months - 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\/measuring-9-emotions-of-news-posts-from-8-news-organizations-across-4-social-media-platforms-for-8-months\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Measuring 9 emotions of news posts from 8 news organizations across 4 social media platforms for 8 months - Team Acua\" \/>\n<meta property=\"og:description\" content=\"Using Plutchik\u2019s wheel of emotions framework, we identify the emotional content of 133,487 social media posts and the audience\u2019s emotional engagement expressed in 2,824,162 comments on those posts. We measure nine emotions (anger, anticipation, anxiety, disgust, joy, fear, sadness, surprise, trust) and two sentiments (positive and negative) using two extraction resources (EmoLex, LIWC) for eight&hellip; Continue reading Measuring 9 emotions of news posts from 8 news organizations across 4 social media platforms for 8 months\" \/>\n<meta property=\"og:url\" content=\"https:\/\/acua.qcri.org\/blog\/measuring-9-emotions-of-news-posts-from-8-news-organizations-across-4-social-media-platforms-for-8-months\/\" \/>\n<meta property=\"og:site_name\" content=\"Team Acua\" \/>\n<meta property=\"article:published_time\" content=\"2022-06-11T11:03:02+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/quecst.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/emotions-2.jpg\" \/>\n<meta name=\"author\" content=\"Jim Jansen\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Jim Jansen\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/acua.qcri.org\/blog\/measuring-9-emotions-of-news-posts-from-8-news-organizations-across-4-social-media-platforms-for-8-months\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/acua.qcri.org\/blog\/measuring-9-emotions-of-news-posts-from-8-news-organizations-across-4-social-media-platforms-for-8-months\/\"},\"author\":{\"name\":\"Jim Jansen\",\"@id\":\"https:\/\/acua.qcri.org\/blog\/#\/schema\/person\/e3bb7a0b58349e548e8940716694c215\"},\"headline\":\"Measuring 9 emotions of news posts from 8 news organizations across 4 social media platforms for 8 months\",\"datePublished\":\"2022-06-11T11:03:02+00:00\",\"dateModified\":\"2022-06-11T11:03:02+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/acua.qcri.org\/blog\/measuring-9-emotions-of-news-posts-from-8-news-organizations-across-4-social-media-platforms-for-8-months\/\"},\"wordCount\":228,\"publisher\":{\"@id\":\"https:\/\/acua.qcri.org\/blog\/#organization\"},\"articleSection\":[\"Customer segmentation\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/acua.qcri.org\/blog\/measuring-9-emotions-of-news-posts-from-8-news-organizations-across-4-social-media-platforms-for-8-months\/\",\"url\":\"https:\/\/acua.qcri.org\/blog\/measuring-9-emotions-of-news-posts-from-8-news-organizations-across-4-social-media-platforms-for-8-months\/\",\"name\":\"Measuring 9 emotions of news posts from 8 news organizations across 4 social media platforms for 8 months - 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We measure nine emotions (anger, anticipation, anxiety, disgust, joy, fear, sadness, surprise, trust) and two sentiments (positive and negative) using two extraction resources (EmoLex, LIWC) for eight&hellip; Continue reading Measuring 9 emotions of news posts from 8 news organizations across 4 social media platforms for 8 months","og_url":"https:\/\/acua.qcri.org\/blog\/measuring-9-emotions-of-news-posts-from-8-news-organizations-across-4-social-media-platforms-for-8-months\/","og_site_name":"Team Acua","article_published_time":"2022-06-11T11:03:02+00:00","og_image":[{"url":"https:\/\/quecst.qcri.org\/blog\/wp-content\/uploads\/2022\/06\/emotions-2.jpg"}],"author":"Jim Jansen","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Jim Jansen","Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/acua.qcri.org\/blog\/measuring-9-emotions-of-news-posts-from-8-news-organizations-across-4-social-media-platforms-for-8-months\/#article","isPartOf":{"@id":"https:\/\/acua.qcri.org\/blog\/measuring-9-emotions-of-news-posts-from-8-news-organizations-across-4-social-media-platforms-for-8-months\/"},"author":{"name":"Jim Jansen","@id":"https:\/\/acua.qcri.org\/blog\/#\/schema\/person\/e3bb7a0b58349e548e8940716694c215"},"headline":"Measuring 9 emotions of news posts from 8 news organizations across 4 social media platforms for 8 months","datePublished":"2022-06-11T11:03:02+00:00","dateModified":"2022-06-11T11:03:02+00:00","mainEntityOfPage":{"@id":"https:\/\/acua.qcri.org\/blog\/measuring-9-emotions-of-news-posts-from-8-news-organizations-across-4-social-media-platforms-for-8-months\/"},"wordCount":228,"publisher":{"@id":"https:\/\/acua.qcri.org\/blog\/#organization"},"articleSection":["Customer segmentation"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/acua.qcri.org\/blog\/measuring-9-emotions-of-news-posts-from-8-news-organizations-across-4-social-media-platforms-for-8-months\/","url":"https:\/\/acua.qcri.org\/blog\/measuring-9-emotions-of-news-posts-from-8-news-organizations-across-4-social-media-platforms-for-8-months\/","name":"Measuring 9 emotions of news posts from 8 news organizations across 4 social media platforms for 8 months - 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